{"product_id":"ieej-pe18174","title":"太陽光発電予測区間に基づく蓄電池システムを用いた電力系統需給運用の基礎検討","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\u003ePE18174\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\u003e2018\/09\/27\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eBasic Study on Demand and Supply Operations of Power Systems with BESS using PV Forecasting with Prediction Intervals\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003e髙橋 康平(名城大学),小林 大貴(名城大学),益田 泰輔(名城大学),ウダワルポラ ラジタ(ルフナ大学),大竹 秀明(産業技術総合研究所),ガリ・ダ・シルバ・フォンセカ・ジュニア ジョアン(東京大学)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eKohei Takahashi(Meijo University),Daiki Kobayashi(Meijo University),Taisuke Masuta(Meijo University),Rajitha Udawalpola(University of Rufuna),Hideaki Ohtake(AIST),Joao Gari da Silva Fonseca Jr.(The University of Tokyo)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eキーワード: \u003c\/strong\u003e蓄電池システム|混合整数線形計画法|最適負荷配分|太陽光発電予測|予測区間|発電機起動停止計画|Battery Energy Storage Systems (BESS)|Mixed Integer Linear Programing (MILP)|Optimal Power dispatch|Photovoltaic (PV) forecasting|Prediction Interval|Unit Commitment (UC)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(日本語): \u003c\/strong\u003eLarge-scale curtailments and shortfalls ofphotovoltaic (PV) power may be frequent in future Japanesepower systems because the installed capacity of PV generationhas been increasing rapidly. Battery Energy Storage Systems(BESS) and day-ahead PV forecasting in unit commitment(UC) calculations have been used to reduce the occurrence ofshortfalls and surpluses of PV power generation. In this studywe first calculate the UC of thermal generators and optimumBESS charging and discharging schedule for different installedPV capacities using day-ahead PV forecasting with differentprediction intervals. Then we calculate the power shortfallsand surpluses of PV power in the target day operations.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(英語): \u003c\/strong\u003eLarge-scale curtailments and shortfalls ofphotovoltaic (PV) power may be frequent in future Japanesepower systems because the installed capacity of PV generationhas been increasing rapidly. Battery Energy Storage Systems(BESS) and day-ahead PV forecasting in unit commitment(UC) calculations have been used to reduce the occurrence ofshortfalls and surpluses of PV power generation. In this studywe first calculate the UC of thermal generators and optimumBESS charging and discharging schedule for different installedPV capacities using day-ahead PV forecasting with differentprediction intervals. Then we calculate the power shortfallsand surpluses of PV power in the target day operations.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e日本語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePDFファイルサイズ: \u003c\/strong\u003e1,130 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 \/ 6","offer_id":46359888462063,"sku":"IEEJ-PE18174-PDF","price":330.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-PDF_7e4a1147-9f21-4984-9f64-db0aa6d33d14.png?v=1743499411","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-pe18174","provider":"電気学会 電子図書館","version":"1.0","type":"link"}