PV電力平滑化のためのANNを用いた制御指令値の導出

カテゴリ: 論文誌(論文単位)

グループ名: 【B】電力・エネルギー部門

発行日: 2016/08/01

タイトル(英語): A Novel Scheme of Control Commands for Smoothing PV Power by Using ANN

著者名: 高橋　明子（岡山大学大学院自然科学研究科），青木　公佑（岡山大学大学院自然科学研究科），舩曳　繁之（岡山大学大学院自然科学研究科）

著者名(英語): Akiko Takahashi (Graduate School of Natural Science and Technology, Okayama University), Kosuke Aoki (Graduate School of Natural Science and Technology, Okayama University), Shigeyuki Funabiki (Graduate School of Natural Science and Technology, Okayama University)

キーワード: 太陽光発電，電力平滑化制御，人工ニューラルネットワーク，時間遅れ，移動平均　　photovoltaic generation，power smoothing control，artificial neural network，time delay，moving average

要約(英語): This paper proposes a novel scheme of control commands for smoothing photovoltaic generation (PV) power by using ANN. The proposed method decides the power command as follows. The moving average is performed to smooth the selected one-day PV data. The smoothed PV data is shifted by a half period of moving average to compensate for time delay. The smoothed-and-shifted PV data are used as the target outputs for artificial neural networks (ANN). The structure of ANN is decided by the optimization method. The power command for smoothing PV power is decided by using ANN whose structure is led by learning and optimization. The proposed method has improved the time delay compared to the conventional method. The proposed method has reduced the energy storage capacity by 254MJ compared to the conventional method, although it has increased the power in LFC band by 39.2kW compared to the conventional method. Energy control has performed to reduce the energy storage capacity while maintaining the power smoothing effect. As a result, the proposed method with energy control has implied a possibility that it can reduce the energy storage capacity by 5.3% compared to the conventional method with energy control.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.136 No.8 （2016）

本誌掲載ページ: 698-704 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejpes/136/8/136_698/_article/-char/ja/