Dynamic Pricing and Distributed Energy Management for Demand Response

作者: Liyan Jia , Lang Tong

DOI: 10.1109/TSG.2016.2515641

关键词:

摘要: The problem of dynamic pricing electricity in a retail market is considered. A Stackelberg game used to model interactions between retailer and its customers; the sets day-ahead hourly price consumers adjust real-time consumptions maximize individual consumer surplus. For thermostatic demands, optimal aggregated demand shown be an affine function price. complete characterization tradeoffs surplus profit obtained. Pareto front achievable concave, each point on achieved by Effects integrating renewables local storage are analyzed. It that benefits renewable integration all go when capacity relatively small. As increases beyond certain threshold, benefit from goes increases.

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