Optimal allocation of photovoltaic systems and energy storage systems considering constraints of both transmission and distribution systems

Ryusuke Konishi, Yuji Takenobu, Masaki Takahashi, Yasuhiro Hayashi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    As more photovoltaic systems (PVs) are allocated to both transmission and distribution systems, it has been required to consider constraints of both transmission and distribution systems, such as power shortages and surpluses in transmission systems and voltages and current in distribution systems. This research proposes the framework to consider these constraints, and formulates the optimal allocation of PVs and energy storage systems (ESSs) to prevent the violation of the above constraints.

    Original languageEnglish
    Title of host publication2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781538628904
    DOIs
    Publication statusPublished - 2017 Oct 26
    Event2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 - Washington, United States
    Duration: 2017 Apr 232017 Apr 26

    Other

    Other2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
    CountryUnited States
    CityWashington
    Period17/4/2317/4/26

    Fingerprint

    Photovoltaic System
    Energy Storage
    Distribution System
    Storage System
    Optimal Allocation
    Energy storage
    Shortage
    Voltage
    Electric potential

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Networks and Communications
    • Energy Engineering and Power Technology
    • Renewable Energy, Sustainability and the Environment
    • Control and Optimization

    Cite this

    Konishi, R., Takenobu, Y., Takahashi, M., & Hayashi, Y. (2017). Optimal allocation of photovoltaic systems and energy storage systems considering constraints of both transmission and distribution systems. In 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 [8086012] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT.2017.8086012

    Optimal allocation of photovoltaic systems and energy storage systems considering constraints of both transmission and distribution systems. / Konishi, Ryusuke; Takenobu, Yuji; Takahashi, Masaki; Hayashi, Yasuhiro.

    2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8086012.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Konishi, R, Takenobu, Y, Takahashi, M & Hayashi, Y 2017, Optimal allocation of photovoltaic systems and energy storage systems considering constraints of both transmission and distribution systems. in 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017., 8086012, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017, Washington, United States, 17/4/23. https://doi.org/10.1109/ISGT.2017.8086012
    Konishi R, Takenobu Y, Takahashi M, Hayashi Y. Optimal allocation of photovoltaic systems and energy storage systems considering constraints of both transmission and distribution systems. In 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8086012 https://doi.org/10.1109/ISGT.2017.8086012
    Konishi, Ryusuke ; Takenobu, Yuji ; Takahashi, Masaki ; Hayashi, Yasuhiro. / Optimal allocation of photovoltaic systems and energy storage systems considering constraints of both transmission and distribution systems. 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
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