赵文杰, 杨萌, 刘军会, 邓振立, 何雯雯. 基于双层随机规划的电力零售商短期决策模型[J]. 智慧电力, 2022, 50(8): 38-45.
引用本文: 赵文杰, 杨萌, 刘军会, 邓振立, 何雯雯. 基于双层随机规划的电力零售商短期决策模型[J]. 智慧电力, 2022, 50(8): 38-45.
ZHAO Wen-jie, YANG Meng, LIU Jun-hui, DENG Zhen-li, HE Wen-wen. Short-term Decision-making Model for Electricity Retailer Based on Bilevel Stochastic Programming[J]. Smart Power, 2022, 50(8): 38-45.
Citation: ZHAO Wen-jie, YANG Meng, LIU Jun-hui, DENG Zhen-li, HE Wen-wen. Short-term Decision-making Model for Electricity Retailer Based on Bilevel Stochastic Programming[J]. Smart Power, 2022, 50(8): 38-45.

基于双层随机规划的电力零售商短期决策模型

Short-term Decision-making Model for Electricity Retailer Based on Bilevel Stochastic Programming

  • 摘要: 以风和光伏为代表的分布式可再生能源逐渐参与了电力现货市场的交易,针对分布式可再生能源出力不稳定的特点,提出了一种电力零售商短期决策模型。首先阐述了分布式可再生能源市场及双层随机规划模型框架;然后将双层随机规划模型转化为等效的单层混合整数线性模型,在此基础上考虑了日前市场和实时市场的电价、分布式可再生能源产量、电力需求和电力零售商与其它负荷服务商报价的随机性;最后,通过实例分析验证了该模型的有效性。

     

    Abstract: Distributed renewable energy,represented by wind and photovoltaic,has gradually participated in the transactions of electric market. A short-term decision-making model for electricity retailer is proposed. Firstly,the model of distributed renewable energy market and bilevel stochastic programming is formulated. Then,the model is transformed into an equivalent single level mixed-integer linear model. On this basis,the electricity price in day-ahead market and real-time market,the distributed renewable energy production,the electricity demand and the randomness of the quotation between the electricity retailer and other load service providers are considered. Finally,the effectiveness of the model is verified by example analysis.

     

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