游祥, 李华强, 陆杨, 王俊翔, 陈缨. 考虑配网潮流的多微网集中式交易定价策略[J]. 电网技术, 2022, 46(4): 1297-1306. DOI: 10.13335/j.1000-3673.pst.2021.0492
引用本文: 游祥, 李华强, 陆杨, 王俊翔, 陈缨. 考虑配网潮流的多微网集中式交易定价策略[J]. 电网技术, 2022, 46(4): 1297-1306. DOI: 10.13335/j.1000-3673.pst.2021.0492
YOU Xiang, LI Huaqiang, LU Yang, WANG Junxiang, CHEN Ying. Pricing Strategy for Multi-microgrid Centralized Trading Considering Distribution Network Power Flow[J]. Power System Technology, 2022, 46(4): 1297-1306. DOI: 10.13335/j.1000-3673.pst.2021.0492
Citation: YOU Xiang, LI Huaqiang, LU Yang, WANG Junxiang, CHEN Ying. Pricing Strategy for Multi-microgrid Centralized Trading Considering Distribution Network Power Flow[J]. Power System Technology, 2022, 46(4): 1297-1306. DOI: 10.13335/j.1000-3673.pst.2021.0492

考虑配网潮流的多微网集中式交易定价策略

Pricing Strategy for Multi-microgrid Centralized Trading Considering Distribution Network Power Flow

  • 摘要: 随着微网在配电侧的发展,如何在满足配电网潮流约束的基础上,实现微网的交易诉求成为关键问题。该文提出一种由配电网制定电价,微网对定价策略作出响应的集中式电能交易框架。首先,分别针对配电网与微网建立考虑其效益与约束的交易模型;然后,基于配电网与微网交易中体现的主从关系建立主从博弈模型;最后,采用双层迭代优化方法求解,为了保证迭代求解过程中配电网潮流计算的可行性,引入二阶锥松弛方法和松弛变量处理配电网模型。在IEEE 33节点系统算例中表明,相比于电网电价,该文所提定价策略,可满足配电网潮流约束,降低网络损耗,同时增加配电网交易收益与各微网运行效益。

     

    Abstract: With the development of microgrids on the side of the distribution network, how to meet the transaction demands of the microgrids while ensuring the distribution network flow constraints is a key issue. This paper proposes a centralized energy trading framework in which the distribution network sets electricity prices and the microgrids respond to the pricing strategy. First, a transaction model is established which considers the benefits and constraints of the distribution network and the microgrids respectively. Then, a master-slave game model is built based on the master-slave relationship embodied in the transaction between the distribution network and the microgrids. Finally, a bilevel iterative optimization method is used to solve the problem. In order to ensure the feasibility of the distribution network power flow calculation in the iterative solution process, the second order conic relaxation method and the relaxation variables are introduced to deal with the distribution network model. The IEEE 33 calculation example shows that compared with the grid electricity price, the pricing strategy proposed in this paper can meet the distribution network power flow constraints, reduce the network losses, and increase the distribution network transaction revenue and the operating benefits of each microgrid.

     

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