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文章摘要
基于双重不动点映射的配电网能源共享交易策略研究
Research on Energy Sharing Transaction Strategies in Distribution Networks Based on Dual Fixed-Point Mapping
Received:July 03, 2024  Revised:July 15, 2024
DOI:10.19753 / j.issn1001-1390.2026.08.011
中文关键词: 配电网  能源共享交易  双重不动点  负荷聚合商
英文关键词: Distribution Network, Energy Sharing Transaction, Dual Fixed-Point, Load Aggregator
基金项目:广东省电网智能量测与先进计量企业重点实验室 项目(2021B1212050014)
Author NameAffiliationE-mail
Tang Jianlin Guangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid 994927636@qq.com 
Qian Bin Guangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid qianbin123@csg.cn 
Lin xiaoming Guangdong Provincial Key Laboratory of Intelligent Measurement and Advanced Metering of Power Grid * linxm124@csg.cn 
Zhang Fan College of Electrical Engineering and Automation, Fuzhou University zhangfan1234@csg.cn 
Yan yanyu College of Electrical Engineering and Automation, Fuzhou University writingfother@126.com 
Xie Shiwei* College of Electrical Engineering and Automation, Fuzhou University Shiwei_Xie@126.com 
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中文摘要:
      电力能源共享交易的推广对于促进清洁能源的消纳和实现绿色低碳转型具有关键作用。然而,这种新型交易模式可能对传统电力市场产生显著影响,并对传统配电网的运行方式带来冲击。为了探讨能源共享交易策略对新型配电网的影响,本文首先考虑了电力负荷聚合商参与点对点交易,构建了基于双重不动点映射的配电网-负荷聚合商主从博弈框架。在此框架下,本研究探讨了配电网与负荷聚合商之间以及负荷聚合商内部的能源共享交易均衡状态。通过对负荷聚合商利益主体的目标和决策空间进行建模,推导出负荷聚合商群体的等价统一优化决策模型,并提出了使用拉格朗日乘子松弛法来实现对统一问题的分布式解耦,从而保证能源交易过程中各主体行为的隐私性和公平性。进一步地,本研究提出了一种基于双重不动点映射模型的配电网交易策略建模方法,并通过博弈理论证明了配电网与负荷聚合商之间交易策略的均衡状态的存在性和唯一性。为了有效求解该问题,研究分析了电力负荷聚合商群体能源共享机制与分布式优化问题的等价性,并提出了一种求解配电网能源共享交易策略的算法。通过基于33节点算例的仿真实验,验证了所提出的双重不动点模型和算法在描述配电网能源共享交易策略方面的有效性,同时实现了在保证配电网经济运行的前提下兼顾负荷聚合商的收益。
英文摘要:
      The promotion of electric power energy sharing transactions plays a crucial role in facilitating the consumption of clean energy and achieving a green, low-carbon transition. However, this novel transaction model may significantly impact traditional power markets and pose challenges to the economic and secure operation of distribution networks. To explore the effects of energy sharing transaction strategies on modern distribution networks, this study considers the participation of power load aggregators in peer-to-peer transactions and establishes a distribution network-load aggregator game framework based on dual fixed-point mapping. Within this framework, the study examines the equilibrium states of energy sharing transactions between the distribution network and load aggregators, as well as among the load aggregators themselves. By modeling the objectives and decision spaces of the load aggregators' stakeholders, an equivalent unified optimization decision model for the load aggregator group is derived. The Lagrange multiplier relaxation method is proposed to achieve distributed decoupling of the unified problem, thereby ensuring the privacy and fairness of the participants' behaviors in the energy transactions. Furthermore, the study introduces a modeling approach for the distribution network transaction strategy based on a dual fixed-point mapping model and demonstrates the existence and uniqueness of the equilibrium state of transaction strategies between the distribution network and load aggregators through game theory. To effectively solve this issue, the equivalence between the energy sharing mechanism of the load aggregator group and the distributed optimization problem is analyzed, and an algorithm for solving the distribution network energy sharing transaction strategy is proposed. Through simulation experiments based on a 33-node example, the reliability of the proposed dual fixed point model and algorithm in effectively describing the energy sharing trading strategy of the distribution network was verified, and at the same time, it was achieved on the premise of ensuring the economic operation of the distribution network. Taking into account the income of power aggregators.
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