書誌事項
- タイトル別名
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- Optimal Planning Strategy for Large PV/Battery System Based on Long-Term Insolation Forecasting
- チョウジカン サキ ニッシャリョウ ヨソク ニ ヨル ダイキボ タイヨウコウ ハツデン セツビ ノ サイテキ ウンヨウ ケイカク
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Photovoltaic (PV) systems are rapidly gaining acceptance as some of the best alternative energy sources. Usually the power output of PV system fluctuates depending on weather conditions. In order to control the fluctuating power output for PV system, it requires control method of energy storage system. This paper proposes an optimization approach to determine the operational planning of power output for PV system with battery energy storage system (BESS). This approach aims to obtain more benefit for electrical power selling and to smooth the fluctuating power output for PV system. The optimization method applies genetic algorithm (GA) considering PV power output forecast error. The forecast error is based on our previous works with the insolation forecasting at one day ahead by using weather reported data, fuzzy theory and neural network(NN). The validity of the proposed method is confirmed by the computer simulations.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 131 (10), 1665-1671, 2011
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390282679585869824
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- NII論文ID
- 10030527616
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 11257223
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可