Electric Vehicle Charge-Discharge Management for Utilization of Photovoltaic by Coordination between Home and Grid Energy Management Systems

Hiroshi Kikusato, Kohei Mori, Shinya Yoshizawa, Yu Fujimoto, Hiroshi Asano, Yasuhiro Hayashi, Akihiko Kawashima, Shinkichi Inagaki, Tatsuya Suzuki

研究成果: Article

1 引用 (Scopus)

抄録

This study proposes an electric vehicle (EV) charge-discharge management framework for the effective utilization of photovoltaic (PV) output through coordination based on information exchange between home energy management system (HEMS) and grid energy management system (GEMS). In our proposed framework, the HEMS determines an EV charge-discharge plan for reducing the residential operation cost and PV curtailment without disturbing EV usage for driving, on the basis of voltage constraint information in the grid provided by the GEMS and forecasted power profiles. Then, the HEMS controls the EV charge-discharge according to the determined plan and real-time monitored data, which is utilized for mitigating the negative effect caused by forecast errors of power profiles. The proposed framework was evaluated on the basis of the Japanese distribution system (DS) simulation model. The simulation results show the effectiveness of our proposed framework from the viewpoint of reduction of the residential operation cost and PV curtailment.

元の言語English
ジャーナルIEEE Transactions on Smart Grid
DOI
出版物ステータスAccepted/In press - 2018 3 26

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Energy management systems
Electric vehicles
Costs
Electric potential

Keywords

    ASJC Scopus subject areas

    • Computer Science(all)

    これを引用

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    title = "Electric Vehicle Charge-Discharge Management for Utilization of Photovoltaic by Coordination between Home and Grid Energy Management Systems",
    abstract = "This study proposes an electric vehicle (EV) charge-discharge management framework for the effective utilization of photovoltaic (PV) output through coordination based on information exchange between home energy management system (HEMS) and grid energy management system (GEMS). In our proposed framework, the HEMS determines an EV charge-discharge plan for reducing the residential operation cost and PV curtailment without disturbing EV usage for driving, on the basis of voltage constraint information in the grid provided by the GEMS and forecasted power profiles. Then, the HEMS controls the EV charge-discharge according to the determined plan and real-time monitored data, which is utilized for mitigating the negative effect caused by forecast errors of power profiles. The proposed framework was evaluated on the basis of the Japanese distribution system (DS) simulation model. The simulation results show the effectiveness of our proposed framework from the viewpoint of reduction of the residential operation cost and PV curtailment.",
    keywords = "Charge-discharge management, distribution system, electric vehicle, Electric vehicle charging, Energy management, home energy management system, Indexes, Load flow, photovoltaic system, Photovoltaic systems, Vehicle-to-grid, voltage control.",
    author = "Hiroshi Kikusato and Kohei Mori and Shinya Yoshizawa and Yu Fujimoto and Hiroshi Asano and Yasuhiro Hayashi and Akihiko Kawashima and Shinkichi Inagaki and Tatsuya Suzuki",
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    AU - Kikusato, Hiroshi

    AU - Mori, Kohei

    AU - Yoshizawa, Shinya

    AU - Fujimoto, Yu

    AU - Asano, Hiroshi

    AU - Hayashi, Yasuhiro

    AU - Kawashima, Akihiko

    AU - Inagaki, Shinkichi

    AU - Suzuki, Tatsuya

    PY - 2018/3/26

    Y1 - 2018/3/26

    N2 - This study proposes an electric vehicle (EV) charge-discharge management framework for the effective utilization of photovoltaic (PV) output through coordination based on information exchange between home energy management system (HEMS) and grid energy management system (GEMS). In our proposed framework, the HEMS determines an EV charge-discharge plan for reducing the residential operation cost and PV curtailment without disturbing EV usage for driving, on the basis of voltage constraint information in the grid provided by the GEMS and forecasted power profiles. Then, the HEMS controls the EV charge-discharge according to the determined plan and real-time monitored data, which is utilized for mitigating the negative effect caused by forecast errors of power profiles. The proposed framework was evaluated on the basis of the Japanese distribution system (DS) simulation model. The simulation results show the effectiveness of our proposed framework from the viewpoint of reduction of the residential operation cost and PV curtailment.

    AB - This study proposes an electric vehicle (EV) charge-discharge management framework for the effective utilization of photovoltaic (PV) output through coordination based on information exchange between home energy management system (HEMS) and grid energy management system (GEMS). In our proposed framework, the HEMS determines an EV charge-discharge plan for reducing the residential operation cost and PV curtailment without disturbing EV usage for driving, on the basis of voltage constraint information in the grid provided by the GEMS and forecasted power profiles. Then, the HEMS controls the EV charge-discharge according to the determined plan and real-time monitored data, which is utilized for mitigating the negative effect caused by forecast errors of power profiles. The proposed framework was evaluated on the basis of the Japanese distribution system (DS) simulation model. The simulation results show the effectiveness of our proposed framework from the viewpoint of reduction of the residential operation cost and PV curtailment.

    KW - Charge-discharge management

    KW - distribution system

    KW - electric vehicle

    KW - Electric vehicle charging

    KW - Energy management

    KW - home energy management system

    KW - Indexes

    KW - Load flow

    KW - photovoltaic system

    KW - Photovoltaic systems

    KW - Vehicle-to-grid

    KW - voltage control.

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