{"product_id":"ieej-pe19050","title":"An Effective Role of Energy Storage System and Demand Response To Improve The PVs Hosting Capacity Using Information Gap Decision Theory","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ: \u003c\/strong\u003e研究会(論文単位)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e論文No: \u003c\/strong\u003ePE19050\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eグループ名: \u003c\/strong\u003e【B】電力・エネルギー部門 電力技術研究会\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日: \u003c\/strong\u003e2019\/09\/10\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eAn Effective Role of Energy Storage System and Demand Response To Improve The PVs Hosting Capacity Using Information Gap Decision Theory\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003eAshraf Hafiz Muhammad(Sungkyunkwan University),Zaman Muhammad Saeed Uz(Sungkyunkwan University),Saad Muhammad(Sungkyunkwan University),Kim Chul-Hwan(Sungkyunkwan University)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eHafiz Muhammad Ashraf(Sungkyunkwan University),Muhammad Saeed Uz Zaman(Sungkyunkwan University),Muhammad Saad(Sungkyunkwan University),Chul-Hwan Kim(Sungkyunkwan University)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eキーワード: \u003c\/strong\u003ePVs|Energy storage system|Demand Response|IGDT|Optimization|Hosting capacity|PVs|Energy storage system|Demand Response|IGDT|Optimization|Hosting capacity\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(日本語): \u003c\/strong\u003eUncertain 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. \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(英語): \u003c\/strong\u003eUncertain 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. \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e英語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePDFファイルサイズ: \u003c\/strong\u003e1,080 Kバイト\u003c\/p\u003e","brand":"IEEJ-PDF","offers":[{"title":"PDFダウンロード（一般価格330円\/会員価格220円） \/ A4 \/ 4","offer_id":46359936401647,"sku":"IEEJ-PE19050-PDF","price":330.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-PDF_2fefc83c-2429-4f2c-8255-db213997230f.png?v=1743501119","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-pe19050","provider":"電気学会 電子図書館","version":"1.0","type":"link"}