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

5 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

ASJC Scopus subject areas

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

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  • 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