基于主从博弈的中小型用户参与零售市场交易策略研究

Research on Small and Medium-sized Users' Participation in Retail Market Trading Strategy Based on Master-slave Game

  • 摘要: 随着市场改革的推进,电力零售市场的主体数量大幅增加的同时,用户与售电公司间产生的纠纷与诉求也在不断增多,尤其以缺乏市场竞争意识的中小型用户为主,而这将直接影响到用户参与市场的积极性,也不利于推进全国统一电力市场的建设。因此,亟待帮助这部分用户理解市场价格传导机制,并进一步完善零售市场的相关建设。为此,提出一种针对中小型用户的参与零售市场交易策略研究,以便用户能够更好地选择适合自身负荷情况的零售套餐。基于主从博弈,首先构建以售电公司售电收益最大化为优化目标的上层模型,其次建立以用户成本效用最低为优化目标的下层模型,最后采用卡罗需-库恩-塔克(Karush-Kuhn-Tucker,KKT)条件对双层规划模型进行上下迭代求解,并通过算例验证了模型的可行性,给出不同业务场景下相关零售套餐的电价参考价格。

     

    Abstract: With the advancement of market reform, the number of subjects in the electricity retail market has increased significantly. However, this growth also leads to an escalation in disputes and claims between users and electricity trading companies, especially among small and medium-sized users who lack the awareness of market competition. This situation will directly affect the enthusiasm of users to participate in the market and hinder the promotion of the construction of a unified national electricity market. Therefore, it is imperative to assist these users in understanding the market price transmission mechanism and further improve the construction of the retail market. To this end, in this paper we study on the trading strategy for small and medium-sized users to participate in the retail market, enabling them to make more informed decisions on selecting the retail package suitable for their own load conditions. The research is based on the master-slave game. Firstly, an upper model is constructed with the maximization of the revenue from the sale of electricity by the electricity selling company as the optimization objective. Secondly, a lower model is established with the lowest cost-utility of the user as the optimization objective. The KKT conditions for the two-layer are adopted for solving the upper and lower iterations of the planning model. Finally, the model feasibility is verified through examples, and the reference prices for electricity are given for relevant retail packages under different business scenarios.

     

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