Updated on 2025/07/16

写真a

 
IINO, Yutaka
 
Affiliation
Research Council (Research Organization), Advanced Collaborative Research Organization for SmartSociety
Job title
Researcher(Associate Professor)
Degree
博士(工学) ( 東京工業大学 )
Mail Address
メールアドレス
Homepage URL
https://www.waseda.jp/inst/across/institutes/hayashi
Profile
1984.3 早稲田大学大学院 理工学研究科 電気工学科専攻 修士課程 修了
1984.4～2018.3 株式会社東芝にて、エネルギー管理技術、省エネ技術などの研究開発に従事
2015.3 東京工業大学大学院 理工学研究科 機械制御システム専攻 博士課程 修了 博士(工学)
2018.4～ 現職(早稲田大学)にてスマート社会の要素技術(電力、交通、情報)等の研究に従事
所属学会：IEEE,電気学会,エネルギー資源学会,計測自動制御学会(フェロー)
技術士(電気電子部門),エネルギー管理士

Research Experience

  • 2018.04
    -
    Now

    WASEDA University Advanced Collaborative Research Organization for Smart Society (ACROSS)   Research Institute for Advanced Network Technology (RIANT)   Associate Professor, Researcher

  • 2016.07
    -
    2018.03

    Toshiba Infrastructure Systems and Service Corporation   Buildings Solution Division   Chief Researcher

  • 1984.04
    -
    2016.06

    Toshiba Corporation   RDC, PIC, Smart Community Div.   Chief Researcher

  • 2007.04
    -
    2015.03

    Tokyo Institute of Technology   Ph.D. degree (Engineering)

  • 1982.04
    -
    1984.03

    Waseda University   Electrical Engineering

  • 1978.04
    -
    1982.03

    Waseda University   Electrical Engineering

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Committee Memberships

  • 2023.01
    -
    2024.12

    IEEJ  Research committee on Smart Meter Application and Perspective

  • 2021.03
    -
    2024.02

    SICE JCMSI Editorial Board  Editor

  • 2012.04
    -
    2020.03

    JST CREST  分散協調型エネルギー管理システム構築のための理論及び基盤技術の創出と融合展開 領域アドバイザー

  • 2015.01
    -
    2016.12

    計測自動制御学会  制御部門 副部門長および部門長

Professional Memberships

  • 　
    　
    　

    IEEE

  • 　
    　
    　

    Japan Society of Energy and Resources

  • 　
    　
    　

    THE INSTITUTE OF ELECTRICAL ENGINEERS OF JAPAN

  • 　
    　
    　

    THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS

Research Areas

  • Control and system engineering   Energy Management System / Control and system engineering   System Control Theory

Research Interests

  • Di-centralized and distributed optimization

  • Distributed Energy Resource

  • Modeling

  • Optimization

  • System Control Theory

  • Demand Science

  • Energy Management System

▼display all

Awards

  • SICE Paper Award, No.1995

    2021.09   SICE   Cyber-physical Optimal Traffic Signal Control Based on a Macroscopic Traffic Model and Its Verification Using Microscopic Traffic Simulator

    Winner： Hayato Dan, Ryota Okamoto, Takeshi Hatanaka, Masakazu Mukai, Yutaka Iino

  • Best Paper Award of IEEJ Transactions on Electrical and Electronic Engineering 2021

    2021.09   IEEJ Transactions on Electrical and Electronic Engineering   Evaluation of Mutual Effect between Power and Traffic Aiming Electrified Urban Transportation System Using Integrated Light Rail Transit and Distribution System Model

    Winner： Hiroyuki Kosaba, Hiroyasu Kobayashi, Teru Miyazaki, Yutaka Iino, Keiichiro Kondo, Yasuhiro Hayashi, Ryota Yamamoto, Masahiko Hasegawa, Jun Yoshinaga

 

Papers

  • Dynamic bus charge scheduling by model predictive control to maximize local PV surplus power utilization

    Fumiaki Osaki, Yu Fujimoto, Yutaka Iino, Yuto Ihara, Masataka Mitsuoka, Yasuhiro Hayashi

    eTransportation    2025.07

    DOI

  • Assessment for Suitable Distributed Energy Resource Utilization to Mitigate Impact on Voltage Under Congestion Management

    Ryuji Shitara, Akihisa Kaneko, Yu Fujimoto, Yutaka Iino, Yasuhiro Hayashi

    2024 13th International Conference on Renewable Energy Research and Applications (ICRERA)     487 - 492  2024.11

    DOI

  • Edge-Side Data Squashing and Metric Learning for Energy Prosumer Clustering: Toward Parameter Optimization of Residential Photovoltaic Inverters

    Nanae Kaneko, Yu Fujimoto, So Takahashi, Akihisa Kaneko, Yutaka Iino, Yasuhiro Hayashi

    2024 13th International Conference on Renewable Energy Research and Applications (ICRERA)     655 - 660  2024.11

    DOI

  • A Personalized Federated Learning Scheme for Operational Parameter Determination of PV Smart Inverters

    Yu Fujimoto, Nanae Kaneko, So Takahashi, Akihisa Kaneko, Yutaka Iino, Yasuhiro Hayashi

    2024 13th International Conference on Renewable Energy Research and Applications (ICRERA)     475 - 480  2024.11

    DOI

  • Charging and Discharging Schedule Optimization Method Considering Renewable Energy and Distribution System for Electric Buses

    Natsuno Kato, Tsunayoshi Ishii, Yutaka Iino, Yasuhiro Hayashi, Shingo Uchiyama, Kohei Oishi, Kenjiro Mori

    IEEJ Transactions on Power and Energy   144 ( 10 ) 526 - 539  2024.10

    　View Summary

    Electric buses are introduced toward achieving carbon neutrality by 2050, and there is a movement to utilize their storage batteries. On the other hand, the electric power system, where distributed energy resources are rapidly spreading, is becoming increasingly complex, and the impact of charging by electric buses on power system is an issue. In this study, we propose an optimization method for electric bus charge/discharge schedule that considers sector coupling between transportation system and power system. Then, we evaluate the effectiveness of the proposed method from the viewpoints of both the distribution system operator and the electric bus operator by performing power flow calculations using a distribution system model. The results show that the proposed method can contribute to power demand shifting and smoothing power flow in distribution network by charging and discharging, and that multiple evaluation indices, e.g. peak-cutting of power flow, line occupation rate, distribution loss, reverse power flow utilization rate, renewable energy rate and CO2 emissions, are improved compared to the conventional charging scheduling method.

    DOI

    Scopus

  • 8-1-2 Resolving Power Flow Concentration with Decentralized Real-Time EMS

    YAMASHITA Satoshi, MIYAKE Jirou, SAKAMOTO Kentaro, SHINJI Masao, IINO Yutaka, ISHII Tsunayoshi, HAYASHI Yasuhiro

    Proceedings of the Annual Conference of The Japan Institute of Energy   33   196 - 197  2024.07

    　View Summary

    The expansion of renewable energy is crucial for achieving a carbon-neutral society by 2050, but it has led to congestion issues in distribution network due to the concentration of distributed energy resources (DERs).In this study, we propose a decentralized coordinated EMS method capable of finely controlling DERs at low-voltage demand clusters and evaluate its effectiveness in alleviating congestion. Our proposed method incorporates shorter control cycles and sequential prediction error corrections. Simulation results demonstrate significant congestion avoidance using our proposed method. Future research will explore the potential for intelligent DER functions to create diverse value.

    DOI

  • Development of Evaluation Process for Demand-Side Resilience against Power Outage

    N. Sakai, T. Tobo, R. Takahashi, Y. Iino, K. Yabe, Y. Hayashi

    CIGRE Science and Engineering   2024 ( 32 )  2024.02

    　View Summary

    Power outage caused by natural disasters such as earthquakes and typhoons is likely to take a few days to restore service and has been one of the issues for social infrastructure. As climate change could make weather events severer and more frequent, it is getting more important to reinforce resilience against the malfunction of power system. Distributed Energy Resources (DERs), represented by integrated systems of photovoltaic power (PV) and batteries, are supposed to be effective to improve reliability of power supply as a part of Business Continuity Plans (BCPs) for consumers whose business needs continuous energy. However, clarifying the bene t of DERs in case of power outage is not easy due to variety of causes and uncertainty of occurrence. The objective of this study is to develop a process of evaluating the ‘resilience value’ of DERs. This process is expected to help reduce costs to reinforce overhead power lines against natural disasters by boosting DER installation on the demand-side. The evaluation process mainly consists of ve steps: evaluation condition setup, probabilistic risk assessment, resilience curve analysis, risk curve construction, and resilience value calculation. For the evaluation condition setup, speci cations of power supply equipment including DERs and daily load patterns of consumers changing with weather are collected to set evaluation conditions. Probabilistic risk assessment identi es likely combinations of component states in the demand-side energy system exposed to hazards by event tree analyses. In the resilience curve analysis, transient balance between consumer load and available DER supply during power outage is calculated for each combination of component states by optimizing objective functions to minimize costs considering the penalty for lost load which is divided according to three importance levels. Risk curves are drawn with lost load associated with each combination of component states and cumulative probabilities for its occurrence, providing expected values of lost load caused by the hazards. Eventually, ‘resilience value’ is acquired as the difference between values of lost load (VoLL) with DERs and without any demand-side countermeasures. As a case-study, the resilience values of a single ve-storied building in case of an earthquake were evaluated. The building had been originally equipped with an emergency diesel generator (EDG) for its critical load demand and was assumed to add PV power system with batteries at the roof oor in the evaluation. For the risk analysis, fragility values of six system components by an earthquake leading to seven-day power outage were determined, and occurrence probabilities for combinations of component states were acquired. Resilience values were calculated from the difference in the area formed by the risk curves. The results showed that resilience values for the total service life of the equipment would increase if the renewable DERs were added to the building. The application of the evaluation process will be extended to complex facilities with multiple buildings and DERs connected with each other.

  • A Study on Optimal Market Bidding Strategy for DER Considering Market Price and Imbalance Risk

    Ryunosuke Imai, Yutaka Iino, Yasuhiro Hayashi, Ayumu Miyasawa, Yamato Imaeda

    IEEJ Transactions on Power and Energy   144 ( 2 ) 68 - 78  2024.02  [Refereed]  [Domestic journal]

    DOI

    Scopus

    2
    Citation
    (Scopus)

  • Proposal and Evaluation of Bidding Strategies for kWh and ΔkW to Spot and Balancing Markets with Co-generation System

    Yutaka Iino, Ryunosuke Imai, Yasuhiro Hayashi, Ayumu Miyasawa, Yamato Imaeda

    IEEJ Transactions on Power and Energy   144 ( 2 ) 112 - 122  2024.02  [Refereed]  [Domestic journal]

    DOI

    Scopus

  • Proposal and Evaluation of Hierarchical EMS using an Adaptive-Robust EMS Method.

    Masao Shinji, Yutaka Iino, Tsunayoshi Ishii, Yasuhiro Hayashi, Satoshi Yamashita, Jumpei Doi, Takahiro Matsuzaki, Jiro Miyake, Kentaro Sakamoto

    ISGT EUROPE     1 - 5  2024

    DOI

    Scopus

  • Generalize the Bidding Strategy of Distributed Energy Resources for the Balancing Market

    Ryunosuke Imai, Yutaka Iino, Yasuhiro Hayashi, Ayumu Miyasawa, Kojiro Nishioka

    International Conference on the European Energy Market, EEM    2024

    　View Summary

    In recent years, there has been an emerging trend towards aggregation businesses in the distributed energy resources (DERs) that consumers utilise, where aggregators bundle their balancing power values for the balancing market. Therefore, this study proposes a three-stage optimization market bidding strategy for DERs. It incorporates a bidding strategy that considers the balancing market's characteristics and the conventional function of supplying electricity to consumers. The proposed method comprises three optimization stages. First, a bidding plan is devised. Second, a plan is formulated accounting for the execution results. Third, the plan is modified based on the output command value. The approach incorporates formulations accommodating DER activation and availability costs alongside simultaneous optimization by an energy service provider and aggregator. The effectiveness is evaluated based on market transaction simulations utilising real market data.

    DOI

    Scopus

  • Evaluation of Power Characteristics under Constant PCS Power Factor Operation in PV Distribution Line

    Yasuhiro Kodama, Yutaka Iino, Yasuhiro Hayashi, Osei Ikeda, Daisuke Munakata

    IEEJ Transactions on Power and Energy   143 ( 11 ) 585 - 592  2023.11

    DOI

    Scopus

  • Trends in Mitigation of Grid Congestion using Distributed Energy Resources in Power System

    Kaneko Akihisa, Fujimoto Yu, Iino Yutaka

    IEEJ Transactions on Power and Energy   143 ( 9 ) 520 - 523  2023.09

    　View Summary

    Recently, a utilization scheme of distributed energy resources (DERs) is discussed as a countermeasure for mitigation of congestion in distribution networks. This paper describes the technological trends in Japan and overseas based on pilot projects. Additionally, the topics about DERs utilization verified in research papers are surveyed and summarized.

    DOI

    Scopus

  • Electric Bus Charge/Discharge Scheduling Optimization Method for Power Flow Smoothing in a Distribution System

    Natsuno Kato, Yuto Ihara, Yasuhiro Kodama, Yutaka Iino, Yasuhiro Hayashi, Ryo Maeda, Kohei Oishi, Kenjiro Mori

    2023 IEEE Conference on Technologies for Sustainability (SusTech)    2023.04

    DOI

  • Identifying Faulty Sections in Distribution Line Loop Operation using Section Switchgear with Sensor without Branch Lines

    Yasuhiro Kodama, Yutaka Iino, Yasuhiro Hayashi

    IEEJ Transactions on Electrical and Electronic Engineering   18 ( 6 ) 856 - 864  2023.03

    DOI

    Scopus

    1
    Citation
    (Scopus)

  • Challenges in Smartizing Operational Management of Functionally-Smart Inverters for Distributed Energy Resources: A Review on Machine Learning Aspects

    Yu Fujimoto, Akihisa Kaneko, Yutaka Iino, Hideo Ishii, Yasuhiro Hayashi

    Energies   16 ( 3 ) 1330 - 1330  2023.01

    　View Summary

    The widespread introduction of functionally-smart inverters will be an indispensable factor for the large-scale penetration of distributed energy resources (DERs) via the power system. On the other hand, further smartization based on the data-centric operation of smart inverters (S-INVs) is required to cost-effectively achieve the same level of power system operational performance as before under circumstances where the spatio-temporal behavior of power flow is becoming significantly complex due to the penetration of DERs. This review provides an overview of current ambitious efforts toward smartization of operational management of DER inverters, clarifies the expected contribution of machine learning technology to the smart operation of DER inverters, and attempts to identify the issues currently open and areas where research is expected to be promoted in the future.

    DOI

    Scopus

    17
    Citation
    (Scopus)

  • Comparative study of energy exchange performance depending on ownership and operation of distributed energy resources

    Iino Yutaka, Hayashi Yasuhiro

    Proceedings of the Japan Joint Automatic Control Conference   66   761 - 764  2023

    DOI

  • Assessing Benefits of Time-Varying Flexibility of Controllable Power Resources for Regional Power Producers and Suppliers

    Ayumu Miyasawa, Yu Fujimoto, Yutaka Iino, Masataka Mitsuoka, Yasuhiro Hayashi, Yamato Imaeda

    2022 International Conference on Smart City and Green Energy (ICSCGE)     34 - 39  2022.11

    DOI

  • Robustness Evaluation of Operational Methods for Off-grid Renewable Energy Systems Installed on Remote Islands

    Kazuki Nagasawa, Yasuhiro Kodama, Yutaka Iino, Yasuhiro Hayashi, Satoru Akagi, Jun Yoshinaga

    2022 International Conference on Smart City and Green Energy (ICSCGE)    2022.11

    DOI

  • Optimal DER Allocation Planning Method for Residential Energy Consumers Aiming to Realizing Benefit for Consumers and Value for Power Grid

    Ryota Kasahara, Yutaka Iino, Yasuhiro Hayashi, Yu Kaneko

    IEEJ Transactions on Power and Energy   142 ( 9 ) 404 - 414  2022.09  [Refereed]  [Domestic journal]

    DOI

    Scopus

    5
    Citation
    (Scopus)

  • Evaluation of the Ability to Contribute to Local Production and Local Consumption of PV by Charging Schedule Optimization Considering Phased Electrification of Buses

    Yuki Tomizawa, Yuto Ihara, Yasuhiro Kodama, Yutaka Iino, Yasuhiro Hayashi, Ohsei Ikeda, Jun Yoshinaga

    IEEJ Transactions on Power and Energy   142 ( 2 ) 67 - 76  2022.02  [Refereed]

    DOI

    Scopus

    3
    Citation
    (Scopus)

  • Improving Resilience Performance of Consumer Groups by Distributed Coordinated EMS Method

    Iino Yutaka, Hayashi Yasuhiro

    Proceedings of the Japan Joint Automatic Control Conference   65   49 - 52  2022

    DOI

  • Multipurpose Charging Schedule Optimization Method for Electric Buses: Evaluation Using Real City Data

    Yuki Tomizawa, Yuto Ihara, Yasuhiro Kodama, Yutaka Iino, Yasuhiro Hayashi, Ohsei Ikeda, Jun Yoshinaga

    IEEE Access   10   56067 - 56080  2022  [Refereed]

    DOI

    Scopus

    9
    Citation
    (Scopus)

  • Model Predictive Control with Pattern Learning of Prediction and Control Trajectory and its Application to a Battery EMS Problem

    Yutaka Iino, Yasuhiro Hayashi

    2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2021     170 - 175  2021.09

    　View Summary

    While the model predictive control method can be widely applied to energy systems and industrial fields, it is difficult to evaluate the reproducibility in advance, and there is a limit to the quality assurance of the control system. In this paper, we propose the prediction/control trajectory of the model predictive control as a control parameter and tried to simplify the model predictive control algorithm by limiting it to a finite number of scenario patterns using the k-means clustering method. This approach does not require optimization calculations and can reduce the computational load and ensure the reproducibility of control operations. The proposed method was applied to the energy management system (EMS) problem with battery storage. The target is an energy system consisting of fluctuating demand load and photovoltaic power generation as a variable renewable energy resource, and storage battery and commercial power reception, and the proposed method is applied to the optimization of storage battery operation. Focusing on the net load pattern as the predicted trajectory and the storage battery's state of charge (SOC) pattern as the control trajectory, the proposed pattern learning model predictive control EMS method was applied to each pattern. The former corresponds to output feedback control and the latter corresponds to state feedback control. Also, state observer-based control is considered where the state is estimated by neural network. As a result of evaluation by simulation of EMS operation for one year based on actual data of PV power generation and demand, control loss increase of only about 8% compared to the optimal control case, with only 3 representative patterns of prediction and control trajectory parameters. So, the effectiveness of the proposed method was confirmed. We also confirmed the robustness against demand forecast error and representative pattern selection error.

  • Voltage Regulation of Distribution System by Demand Side Battery Control Method Considering Coordination with HEMS

    Shogo Fukui, Teru Miyazaki, Yutaka Iino, Wataru Hirohashi, Yasuhiro Hayashi, Naoya Matsumoto, Yu Matsumoto, Shin Inagaki

    IEEJ Transactions on Power and Energy   141 ( 5 ) 336 - 344  2021.05  [Refereed]

    DOI

    Scopus

    7
    Citation
    (Scopus)

  • MPC with controllability maximization and its application to DER flexibility optimization EMS problem

    Iino Yutaka, Hayashi Yasuhiro

    Proceedings of the Japan Joint Automatic Control Conference   64   49 - 52  2021

    DOI CiNii

  • Charging Schedule Optimization Method for Electric Buses with PV Installed at Bus Stations: Sensitivity Analysis of PV Capacity based on Real City Data

    Yuki Tomizawa, Yutaka Iino, Yuto Ihara, Yasuhiro Hayashi, Teru Miyazaki, Ryota Yamamoto

    2020 International Conference on Smart Grids and Energy Systems (SGES)    2020.11  [Refereed]

    DOI

  • Backup generator output control method of off-grid system based on renewable energy in remote island

    Kazuki Nagasawa, Yasuhiro Hayashi, Teru Miyazaki, Tomoaki Shoji, Yutaka Iino, Jun Yoshinaga

    2020 International Conference on Smart Grids and Energy Systems (SGES)    2020.11  [Refereed]

    DOI

  • Evaluation of Mutual Effect between Power and Traffic Aiming Electrified Urban Transportation System Using Integrated Light Rail Transit and Distribution System Model

    Hiroyuki Kosaba, Hiroyasu Kobayashi, Teru Miyazaki, Yutaka Iino, Keiichiro Kondo, Yasuhiro Hayashi, Ryota Yamamoto, Masahiko Hasegawa, Jun Yoshinaga

    IEEJ Transactions on Electronics, Information and Systems   140 ( 8 ) 892 - 904  2020.08  [Refereed]

    DOI

    Scopus

    1
    Citation
    (Scopus)

  • Evaluation and Visualization of kW / kWh Cost of a District Heating and Cooling System for Electricity Adjustment

    Kohei Tomita, Yasuhiro Hayashi, Yutaka Iino, Yuto Yamamoto, Kosuke Kobayashi

    Proceedings of 2020 4th International Conference on Green Energy and Applications, ICGEA 2020     22 - 27  2020.03

    　View Summary

    A District Heating and Cooling system (DHC) with Combined Heat and Power (CHP) is able to not only satisfy regional heat and cold demand but also generate and control electricity by CHP. Therefore, a DHC with CHP has potential as control reserve for electricity adjustment (EA). In Japan, an EA auction was established to secure control reserve efficiently. In our previous research, potential of EA by a DHC for this auction has already evaluated. Furthermore, it was found that kW and kWh costs of a DHC for EA mainly depend on the heat and cold demand. Operators of DHCs need to comprehend the exact costs for EA when they bid on the auction. Therefore, fluctuations in costs for EA due to changes in heat and cold demand have been a critical issue for operators in decision making for the bid. However, costs for EA of a DHC with comprehensive assumption of various heat and cold demands has not been evaluated. Therefore, in this paper, the kW and kWh costs of an existing DHC are quantified and visualized as a multidimensional function based on the conditions of heat and cold demands. In addition, the factors behind those results are discussed. As a result, this research made it possible to predict the costs for EA of the DHC with heat and cold demand forecasts, and the operator could use it as auxiliary information in decision making for the bid.

    DOI

    Scopus

    1
    Citation
    (Scopus)

  • Partitioning Method for the Large-scale Operation Planning Problem of a District Heating and Cooling System for Electricity Adjustment

    Kohei Tomita, Yutaka Iino, Yasuhiro Hayashi, Yuto Yamamoto, Kosuke Kobayashi, Atsuhiko Hayakawa

    IEEJ Transactions on Power and Energy   140 ( 2 ) 94 - 103  2020.02  [Refereed]

    Authorship：Corresponding author

    DOI

    Scopus

    2
    Citation
    (Scopus)

  • Aggregation Control of Distributed Energy Resources with Controllable Trajectory

    Iino Yutaka, Hayashi Yasuhiro

    Proceedings of the Japan Joint Automatic Control Conference   63   341 - 344  2020

    DOI CiNii

  • Cyber-physical Optimal Traffic Signal Control Based on a Macroscopic Traffic Model and Its Verification Using Microscopic Traffic Simulator

    Hayato DAN, Ryota OKAMOTO, Takeshi HATANAKA, Masakazu MUKAI, Yutaka IINO

    Transactions of the Society of Instrument and Control Engineers   56 ( 3 ) 106 - 115  2020

    DOI

  • Design of a Traffic Simulator with Real-time Feedback and Signal Optimization and Demonstration

    Hayato DAN, Ryota OKAMOTO, Yasuaki WASA, Takeshi HATANAKA, Masakazu MUKAI, Yutaka IINO

    Transactions of the Society of Instrument and Control Engineers   56 ( 7 ) 379 - 385  2020

    DOI

  • Multiple Scenario-based Model Predictive Control with Decision Time Limit Determination of Scenario Selection

    Yutaka Iino

    2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan    2019.09  [Refereed]

    DOI

    Scopus

    1
    Citation
    (Scopus)

  • Coordinated Energy Management Systems for Multi-Energy Negotiated Transaction with Marginal Cost Information and Its Properties from the Viewpoint of Graph Complexity

    Yutaka Iino

    SICE Journal of Control, Measurement, and System Integration   11 ( 6 ) 486 - 494  2018.11  [Refereed]

    DOI

  • Consideration on EMS technology for Load Controllability Maximization of Building Facilities with Viewpoint of Control Theory

    Iino Yutaka, Kobayashi Nobuhisa, Hayashi Yasuhiro

    Proceedings of the Japan Joint Automatic Control Conference   61   436 - 439  2018

    DOI CiNii

  • Feasibility and Performance Analysis of Model Predictive Signal Control Based on a Micro Traffic Model Including Individual Vehicle Motion

    Ryota OKAMOTO, Yuki TEZUKA, Masakazu MUKAI, Takeshi HATANAKA, Yutaka IINO, Toru NAMERIKAWA

    Transactions of the Society of Instrument and Control Engineers   54 ( 12 ) 849 - 856  2018

    DOI

  • Experimental Services of Energy Management for Energy Users in Business Region on Miyakojima City All-Islands EMS Demonstration Project

    Yutaka Iino, Yoshihiro Ogita, Gaku Shimoda, Masaru Zenhira, Satoru Mikami, Yukio Ikema

    ELECTRICAL ENGINEERING IN JAPAN   200 ( 4 ) 19 - 29  2017.09  [Refereed]

    　View Summary

    Smart grid and demand response (DR) had been attracting attention and evaluated in several demonstration projects. Many DR experimental results for residential and large-scale buildings had been evaluated, while evaluation for small size buildings seems to be not enough. In this paper, a new energy service combined EMS method is proposed for small size buildings. Then results of its application to Miyako Island All-Islands EMS Demonstration Project are introduced. The experimental services include not only DRs but also peak cutting recommendations and energy analysis reports. The results show combination of services can realize more effects than individual service. Especially the peak cutting recommendations and energy analysis reports help energy consumers to learn and understand how to save and manage energy usages that lead to effective DR potentials. Also the experimental system developed for energy data measurement and DR management as an island community EMS is intrduced. (C) 2017 Wiley Periodicals, Inc.

    DOI

    Scopus

  • Coordinated Energy Management Systems for Multi-Energy Negotiated Transaction with Marginal Cost Information

    Yutaka Iino

    2017 56TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE)     1224 - 1227  2017  [Refereed]

    　View Summary

    Recently the multi-energy network had attracted attentions, which includes electricity, heat and fuel energies. These energies should be traded in market dynamics to maximize total economic benefits. However, energy transmission constraints caused by heat and/or fuel network structure restrict trading with market transaction. So in this paper coordinated EMS based on negotiated transaction mechanism is considered. Then a transaction protocol based on marginal cost of energy accommodation is proposed. Some properties of general multi-energy network of negotiated transaction are also discussed.

    DOI

    Scopus

    3
    Citation
    (Scopus)

  • Load controllability evaluation modeling for demand response potential estimation

    Yutaka Iino, Tsutomu Fujikawa, Saori Kaneko, Gaku Shimoda, Kazuto Kataoka, Kazuhiko Ogimoto

    IEEJ Transactions on Power and Energy   137 ( 5 ) 372 - 380  2017  [Refereed]

    　View Summary

    Demand response (DR) is a key technology for the smart grid, and to manage and optimize DR of energy consumers, accurate prediction of DR potential in each energy consumers is required. In this paper we focus on building and its facilities as the target of DR, and propose a general physical energy modeling procedure to estimate the DR potentials. First an energy model based on the thermal load model is estimated from restricted basic information of the target building. Then the model parameter, especially performance of HVAC facilities, is adjusted by decomposition of modeling error caused by operation and structure of the building. The modeling procedure is applied to an actual building, and the estimation of DR potential is compared with actual DR experiment.

    DOI J-GLOBAL

    Scopus

    2
    Citation
    (Scopus)

  • Experimental services of energy management for energy users in business region on Miyakojima City All-Islands EMS Demonstration Project

    Yutaka Iino, Yoshihiro Ogita, Gaku Shimoda, Masaru Zenhira, Satoru Mikami, Yukio Ikema

    IEEJ Transactions on Power and Energy   136 ( 6 ) 537 - 546  2016  [Refereed]

    　View Summary

    Smart Grid and Demand Response had been attracted attentions and evaluated in several demonstration projects. Many demand response experimental results for residential and large scale buildings had been evaluated, while evaluation for small size buildings seems to be not enough. In this paper, a new energy service combined EMS method is proposed for small size buildings. Then results of its application to Miyako Island All-Islands EMS Demonstration Project are introduced. The experimental services include not only demand responses but also peak cutting recommendations and energy analysis reports. The results show combination of services can realize more effects than individual service. Especially the peak cutting recommendations and energy analysis reports help energy consumers to learn and understand how to save and manage energy usages that lead to effective demand response potentials. Also the experimental system developed for energy data measurement and demand response management as an island community EMS is introduced.

    DOI J-GLOBAL

    Scopus

    2
    Citation
    (Scopus)

  • Cooperative Distributed Energy Management System Toward 2020

    NAMERIKAWA Toru, FUJITA Masayuki

    Journal of The Society of Instrument and Control Engineers   55 ( 7 ) 539 - 546  2016

    DOI CiNii

  • Fault Diagnosis Method for Control Loop in Outdoor Air Handling Units

    Techinical Papers of Annual Meeting the Society of Heating,Air-conditioning and Sanitary Engineers of Japan   2016   329 - 332  2016

    DOI CiNii

  • Model Predictive Control for Demand Response Aggregation Management System with response delay time and uncertainty model

    Yutaka Iino, Takeshi Hatanaka, Masayuki Fujita

    2014 Proceedings of the SICE Annual Conference (SICE)     1478 - 1483  2014  [Refereed]

    　View Summary

    In the Smart Grid Technology, Demand Response (DR) scheme had attracted attentions as a new effective electricity supply-demand balance control method. The aim of this paper is to formulate DR aggregation management system with multiple electricity energy users as a control and optimization theory framework. Where, the demand response delay dynamics and stochastic uncertainty as behaviors in each energy user are included as the DR aggregation system model, to represent actual DR aggregation service management process in the electricity market mechanism. For the generalized formulation of the problem, the Model Predictive Optimization & Control scheme is introduced, where control performance, economical value with DR incentive, and also operational risk to fail DR target achievement are formulated. Some practical calculation procedure of dispatching DR command to each energy user as the DR aggregator is also shown.

    DOI

    Scopus

    5
    Citation
    (Scopus)

  • Physical and JIT Model-Based Hybrid Modeling Approach for Building Thermal Load Prediction

    Yutaka Iino, Masahiko Murai, Dai Murayama, Ichiro Motoyama

    ELECTRICAL ENGINEERING IN JAPAN   185 ( 2 ) 30 - 39  2013.11  [Refereed]

    　View Summary

    Energy conservation in building fields is a key issue from an environmental point of view as well as of the industrial, transportation, and residential fields. Half of the total energy consumption in a building is a result of HVAC (heating, ventilation, and air conditioning) systems. In order to conserve energy in an HVAC system, a thermal load prediction model for a building is required. This paper proposes a hybrid modeling approach using a physical and just-in-time (JIT) model for the thermal load predictions for a building. The proposed method has features and benefits such as (1) it is applicable to cases in which past operating data for load prediction model learning are poor; (2) it has a self-checking function, which determines if the data-driven load prediction and the physical- based one are consistent at all times, so that it can determine if something is wrong in the load prediction procedure; (3) it has the ability to adjust the load prediction in real time against a sudden change in the model parameters and environmental conditions. The proposed method is evaluated using real operating data from an existing building, and the improvement in load prediction performance is illustrated. (C) 2013 Wiley Periodicals, Inc. Electr Eng Jpn, 185(2): 30-39, 2013; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.22293

    DOI

    Scopus

    3
    Citation
    (Scopus)

  • Strategy Identification of Energy Users in Real Time Electricity Market and Demand Response

    Yutaka Iino, Takeshi Hatanaka, Masayuki Fujita

    2012 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE)     2094 - 2097  2012  [Refereed]

    　View Summary

    A parameter estimation problem for strategy of energy user is considered. The problem is called strategy identification of energy users. Supposing the real time electricity market and/or demand response, the user behavior data are used to estimate the strategy of energy users. In a case study, estimation of battery capacity owned by the energy user is illustrated and the identifiability condition is considered. The method is useful to manage the electricity market and / or demand response control, predicting the energy user behaviors.

  • Consideration on systematic analysis and evaluation of energy system efficiency

    Yutaka Iino

    SICE Annual Conference 2011 Proceedings    2011.09  [Refereed]

    CiNii

  • Physical and JIT model based hybrid modeling approach for building thermal load prediction

    Yutaka Iino, Masahiko Murai, Dai Murayama, Ichiro Motoyama

    IEEJ Transactions on Electronics, Information and Systems   131 ( 8 ) 1431 - 1438  2011  [Refereed]

    　View Summary

    Energy conservation in building fields is one of the key issues in environmental point of view as well as that of industrial, transportation and residential fields. The half of the total energy consumption in a building is occupied by HVAC (Heating, Ventilating and Air Conditioning) systems. In order to realize energy conservation of HVAC system, a thermal load prediction model for building is required. This paper propose a hybrid modeling approach with physical and Just-in-Time (JIT) model for building thermal load prediction. The proposed method has features and benefits such as, (1) it is applicable to the case in which past operation data for load prediction model learning is poor, (2) it has a self checking function, which always supervises if the data driven load prediction and the physical based one are consistent or not, so it can find if something is wrong in load prediction procedure, (3) it has ability to adjust load prediction in real-time against sudden change of model parameters and environmental conditions. The proposed method is evaluated with real operation data of an existing building, and the improvement of load prediction performance is illustrated. © 2011 The Institute of Electrical Engineers of Japan.

    DOI J-GLOBAL

    Scopus

    3
    Citation
    (Scopus)

  • Dynamic Topology Optimization for Dependable Sensor Networks

    Yutaka Iino, Takeshi Hatanaka, Masayuki Fujita

    2010 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS     274 - 279  2010  [Refereed]

    　View Summary

    In this paper, wireless sensor network (WSN) topology optimization for dependability is considered, where two metrics "reliability" and "integrity" for WSN are defined. First, static topology optimization problem for reliability, integrity and joint optimization of them are investigated and some trade-off relationships are clarified. Then, dynamic topology optimization problem is proposed, where some node connections to their parents' nodes change dynamically with a stochastic distribution rate. Then a heuristic optimization method and some functions for each node to realize a decentralized optimization are proposed. Finally some numerical examples are illustrated to demonstrate the effectiveness of these optimization methods and the optimal WSN topology in various optimization problems.

    DOI

    Scopus

    4
    Citation
    (Scopus)

  • Hybrid modeling with physical and JIT model for building thermal load prediction and optimal energy saving control

    Yutaka Iino

    2009 ICCAS-SICE Proceedings    2009.08  [Refereed]

  • Event-predictive Control for Energy Saving of Wireless Networked Control System

    Yutaka Iino, Takeshi Hatanaka, Masayuki Fujita

    2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9     2236 - 2242  2009  [Refereed]

    　View Summary

    This paper discusses on a new concept of Event-predictive control, which is an extension of the Event-triggered control. The aim of the research is to apply such asynchronous sampling control strategy to a wireless networked control system to save battery energy consumption in the wireless nodes. The key idea is to maximize the control interval, under the condition of appropriate control performance, to save communication energy cost for battery life of wireless network nodes incorporated in the control system. A heuristic new concept of "predictive event" is introduced which is pre-determined as a cross-point of future predictive response of the controlled system and the stable region trajectory named "admissible set trajectory" to ensure recoverability to stable region. Then the sleep and wake mode of the wireless node is controlled according to the predictive events. Some considerations on stability condition are discussed, which is extendable to a class of nonlinear plants under some assumptions. A numerical example is illustrated to show the effectiveness of the proposed method.

    DOI

    Scopus

    37
    Citation
    (Scopus)

  • Hierarchical Model Predictive Control Applied to a Cement Raw Material Mixing Process

    Yutaka Iino

    SICE Journal of Control, Measurement, and System Integration   1 ( 3 ) 207 - 215  2008.11  [Refereed]  [Invited]

    DOI

  • Wireless Sensor Network based Control System Considering Communication Cost

    Yutaka Iino

    17th IFAC World Congress     2573 - 2576  2008.07  [Refereed]

    CiNii

  • Hierarchical MPC Supervisory Control with Sensitivity and Controllability Monitoring

    Yutaka Iino

    2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7     2022 - 2025  2008  [Refereed]

    　View Summary

    Model Predictive Control (MPIC) enables to handle multi-objective optimal operations and control in various kinds of process controls. In fact, simultaneous optimization of stability, quality constrains and economical optimality, sometimes it fails into "infeasible" solution. Then a Supervisory Control Function in the hierarchical MPC configuration is proposed. It evaluates sensitivity of optimization and controllability in sense of "control degrees of freedom" and adjusts the control system structure as multi-input and multi-output closed loop system to be feasible. It realizes a kind of automatic "Plug and Play" function for control input. Some numerical simulations for general blending control in material process are evaluated to show the effectiveness of the proposed method.

    DOI

    Scopus

    2
    Citation
    (Scopus)

  • Wireless sensor network based control system - Trade off between sensor power saving and control performance

    Yutaka Iino, Masayuki Fujita

    PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8     2573 - 2576  2007  [Refereed]

    　View Summary

    This paper is discussed on some new control methodologies for wireless sensor network based closed loop control system. Such a system is required to save battery energy consumption, which will be achieved by saving communication speed. Then some new control strategies considering communication interval, which corresponds to sampling period of discrete control system, are considered here. At first, communication saved control problems is defined. Then, some heuristic control methods are proposed. One of them is based on the optimization of a cost function including control performance and communication penalty. Then two types of control optimization problems are defined, which correspond to state observer problem and state feedback control problem. These wireless sensor network conscious control methods will meet to industrial requirements.

    DOI

    Scopus

    4
    Citation
    (Scopus)

  • Risk based model predictive control with hybrid system structure and its application to thermal power plants

    Yutaka Iino, Shigeru Matsumoto, Akinori Kamito

    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13     5276 - +  2006  [Refereed]

    　View Summary

    An industrial Model Predictive Control method, which combines usual linear control and sequence control, is re-formulated. to a hybrid control algorithm. The plant start up and shut down sequence is naturally used in the industrial control method, but has not been analyzed theoretically. In this paper, the Thermal Power Plant optimal load distribution problem is formulated as Model Predictive Control with the constrained condition, and also the embedded start up and shut down optimal control sequence is designed with different objective functions. The new hierarchical control system structure is discussed as a hybrid control system, which can dramatically reduce the calculation effort, in spite of plant non-linearity, constraints and parameter uncertainty. A simulation example applied to a thermal power plant is demonstrated to show the effectiveness of the control method.

    DOI

    Scopus

    2
    Citation
    (Scopus)

  • Preview/Predictive Control

    IINO Yutaka, EGAMI Tadashi, OHSHIMA Masahiro, KOJIMA Akira, SHIMIZU Keiko, SUZUKI Katsuyuki, TAKABA Kiyotsugu, NAKAMURA Hiroshi, MASUDA Shiro, YAMAMOTO Toru, KUBO Tomohiro

    Journal of The Society of Instrument and Control Engineers   39 ( 5 ) 311 - 320  2000

    DOI CiNii

  • Model Based Extended Wavelet Analysis and its application to fault diagnosis of an elevator system

    Y Iino, M Yukitomo, H Ogawa, K Kanazawa, Y Yamagishi

    (SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3     621 - 626  1998  [Refereed]

    　View Summary

    A new wavelet analysis method is proposed, that is a combination of the wavelet transform, a nonlinear transformation and a correlation analysis. In this paper, it is called 'Extended Wavelet Analysis (EWA)' procedure. Furthermore, the 'Model Based EWA' method is proposed in which the nonlinear transformation is based on a model of the diagnosed object. It can analyze a short transient signal and it is effective for the correlation analysis between the wavelet spectrum and arbitrary variables in the object. It was applied to the diagnosis of an elevator system. Some simulation results and experimental results reveal the effectiveness of the EWA procedure.

  • Model Predictive Control with Multi-objective Cost Function considering Stabilization and Linear Cost Optimization

    Yutaka Iino

    IFAC ADCHEM ’97    1997.06  [Refereed]

  • Practical Control System Design in Recent Computer Environment

    IINO Yutaka, ISHIKAWA Jun, OGURO Ryuichi, TAKAHAMA Morio, MATSUMURA Toshio, MITSUTA Shinji, EISAKA Toshio

    Journal of The Society of Instrument and Control Engineers   35 ( 10 ) 798 - 806  1996.10

    DOI CiNii

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Presentations

  • 電力地産地消を目的とした地域エネルギーマネジメントシステムにおけるメガソーラー導入への可制御電源の寄与効果検証

    宮澤 歩夢, 飯野 穣, 藤本 悠, 光岡 正隆, 林 泰弘

    電気学会 令和3年 全国大会 

    Presentation date： 2021.03

  • 多目的価値の実現を目的とした住宅需要家群向けDER最適配置計画の検討

    笠原 亮太, 飯野 穣, 林 泰弘, 金子 雄

    電気学会 令和3年 全国大会 

    Presentation date： 2021.03

  • 蓄電池とディーゼル発電機の協調制御による再エネ活用オフグリッドの運用手法

    長澤 和輝, 飯野 穣, 児玉 安広, 林 泰弘, 赤木 覚, 吉永 淳

    電気学会 令和3年 全国大会 

    Presentation date： 2021.03

  • エネルギー管理システムの計画軌道パターン学習による簡易予測制御方式の検討

    飯野 穣, 林 泰弘

    計測自動制御学会 第8回制御部門マルチシンポジウム(MSCS2021) 

    Presentation date： 2021.03

  • Feasibility Evaluation of Off-grid Performance in Distribution Network with Actual Data

    Kazuki Nagasawa, Yutaka Iino, Yasuhiro Kodama, Yasuhiro Hayashi, Satoru Akagi, Jun Yoshinaga

    The 4th International Workshop on Power Engineering in Remote Islands (IWPI2021) 

    Presentation date： 2021.02

  • 分散型エネルギー資源の相互エネルギー融通による環境価値の評価

    飯野 穣, 林 泰弘

    第37回エネルギー・資源学会エネルギーシステム・経済・環境コンファレンス 

    Presentation date： 2021.01

  • 可制御軌道に基づく分散型エネルギー資源アグリゲーション制御

    飯野 穣, 林 泰弘

    第63回自動制御連合講演会 

    Presentation date： 2020.11

  • HEMSとの協調を考慮した需要家蓄電池の配電系統電圧制御手法

    福井 将悟, 宮崎 輝, 飯野 穣, 広橋 亘, 林 泰弘, 松本 直也, 松本 侑, 稲垣 信

    電気学会 令和2年 電力・エネルギー部門大会(第31回) 

    Presentation date： 2020.09

  • 実都市データを用いたPV逆潮流削減を目的とした電動バスの最適充電スケジュール決定手法

    富澤 勇輝, 井原 雄人, 宮崎 輝, 飯野 穣, 林 泰弘, 山本 良太, 吉永 淳, 篠崎 一樹

    電気学会 令和2年 電力・エネルギー部門大会(第31回) 

    Presentation date： 2020.09

  • スマートハウス重点機器群による 需要家利益と系統貢献の両立にむけた基礎検討

    笠原 亮太, 飯野 穣, 林 泰弘, 金子 雄, 河口 俊朗, 岸本 卓也

    電気学会 令和2年 電力・エネルギー部門大会(第31回) 

    Presentation date： 2020.09

  • 需要家EMS群と協調した地産地消型エネルギー・環境マネジメントシステムの提案と評価

    飯野 穣, 林 泰弘

    第39回エネルギー・資源学会研究発表会 

    Presentation date： 2020.07

  • Proposal of Analysis and Visualization Method by Energy Structure Model of Complex Energy System

    Yutaka Iino, Hasuhiro Hayashi

    Japan Society of Energy and Resources 

    Presentation date： 2020.01

  • Consideration on DER Aggregation Method for Multiple Electricity markets

    Yutaka Iino, Yasuhiro Hayashi

    62th Japan Federal Conference on Automatic Control 

    Presentation date： 2019.11

  • Recent trends and issues on Smart City technology

    Yutaka Iino, Yasuhiro Hayashi  [Invited]

    SICE Conference of Industrial Application Div. 

    Presentation date： 2019.10

  • Proposal of DER potential evaluation process for flexibility aggregation

    Yutaka Iino, Yasuhiro Hayashi

    Japan Society of Energy and Resources 

    Presentation date： 2019.08

  • Proposal of a Multi-scenario based Model Predictive Control Method

    Yutaka Iino, Yasuhiro Hayashi

    6th SICE Control Div. Multi-symposium 

    Presentation date： 2019.03

  • Proposal of a Visual Evaluation Method pf Power Load Adjustment Potential from Load Curve Data of Energy Consumers

    Yutaka Iino, Yasuhiro Hayashi

    Japan Society of Energy and Resources 

    Presentation date： 2019.01

  • Consideration on EMS technology for Load Controllability Maximization of Bui with Viewpoint of Control Theorylding Facilities

    Yutaka Iino, Yasuhiro Hayashi

    61th Japan Fereral Conference on Automatic Control 

    Presentation date： 2018.11

  • Consideration on Possibility and Issue of Load Controllability with Utilization of Facilities in the Buildings

    Yutaka Iino, Nobuhisa Kobayashi

    IEEJ Smart Facilities conference 

    Presentation date： 2018.06

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Research Projects

  • Systematization of cooperative next-generation distribution system operation method for mass introduction of photovoltaic power generation

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research

    Project Year :

    2023.04
    -
    2027.03
     

  • Hybrid model analysis method with data model and physical model for automatic energy analysis

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research

    Project Year :

    2020.04
    -
    2023.03
     

Misc

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Industrial Property Rights

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Syllabus

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Sub-affiliation

  • Faculty of Science and Engineering   Graduate School of Advanced Science and Engineering

Research Institute

  • 2024
    -
    2026

    Waseda Center for a Carbon Neutral Society   Concurrent Researcher