An Effective Role of Energy Storage System and Demand Response To Improve The PVs Hosting Capacity Using Information Gap Decision Theory

カテゴリ: 研究会(論文単位)

論文No: PE19050

グループ名: 【B】電力・エネルギー部門 電力技術研究会

発行日: 2019/09/10

タイトル(英語): An Effective Role of Energy Storage System and Demand Response To Improve The PVs Hosting Capacity Using Information Gap Decision Theory

著者名: Ashraf Hafiz Muhammad(Sungkyunkwan University),Zaman Muhammad Saeed Uz(Sungkyunkwan University),Saad Muhammad(Sungkyunkwan University),Kim Chul-Hwan(Sungkyunkwan University)

著者名(英語): Hafiz Muhammad Ashraf(Sungkyunkwan University),Muhammad Saeed Uz Zaman(Sungkyunkwan University),Muhammad Saad(Sungkyunkwan University),Chul-Hwan Kim(Sungkyunkwan University)

キーワード: PVs|Energy storage system|Demand Response|IGDT|Optimization|Hosting capacity|PVs|Energy storage system|Demand Response|IGDT|Optimization|Hosting capacity

要約(日本語): Uncertain PV power generation is a big hurdle in PV Hosting Capacity improvement. Uncertainty of PV power generation is handled optimally by Information Gap Decision Theory (IGDT). IGDT is a best technique to deal with the uncertain data. Energy Storage System (ESS) and Demand Response (DR) program is used here to enhance the PVs Hosting Capacity. The proposed method is designed as a mixed-integer nonlinear optimization problem and a real coded genetic algorithm is developed to obtain the solution.

要約(英語): Uncertain PV power generation is a big hurdle in PV Hosting Capacity improvement. Uncertainty of PV power generation is handled optimally by Information Gap Decision Theory (IGDT). IGDT is a best technique to deal with the uncertain data. Energy Storage System (ESS) and Demand Response (DR) program is used here to enhance the PVs Hosting Capacity. The proposed method is designed as a mixed-integer nonlinear optimization problem and a real coded genetic algorithm is developed to obtain the solution.

原稿種別: 英語

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