需要家特性のオンライン推定によるリアルタイムプライシング
書誌事項
- タイトル別名
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- Real-Time Pricing by On-Line Estimation of Consumer Characteristics
抄録
We discuss a real-time pricing method for an electric power system based on model predictive control (MPC) by the real-time optimization and estimation of a consumer's parameter using a particle lter. Consumer characteristics are modeled by a sigmoidal demand function that represents saturation effects and the price elasticity of demand, and the price elasticity is estimated on line by a particle lter. Then, the electricity price is determined by MPC to suppress the frequency deviation in the entire power system and the deviation of power consumption in heat pump water heaters. We conducted numerical simulations to compare the performance of our proposed method with that of the direct control scheme used in the previous research. We demonstrate that a supply-demand balance is achieved by price presentation in spite of a large uctuation in wind power and the uncertainty in a consumer's parameter.
収録刊行物
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- 横幹連合コンファレンス予稿集
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横幹連合コンファレンス予稿集 2017 (0), B-3-5-, 2017
横断型基幹科学技術研究団体連合（横幹連合）
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詳細情報 詳細情報について
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- CRID
- 1390282680642987392
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- NII論文ID
- 130006371382
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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
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可