樊晓伟, 王瑞妙, 杨海峰, 刘永超, 朱小军, 罗佳欣, 杨译, 张谦. 计及源荷不确定的综合能源微电网集群优化运行[J]. 电力建设, 2024, 45(8): 128-139.
引用本文: 樊晓伟, 王瑞妙, 杨海峰, 刘永超, 朱小军, 罗佳欣, 杨译, 张谦. 计及源荷不确定的综合能源微电网集群优化运行[J]. 电力建设, 2024, 45(8): 128-139.
FAN Xiao-wei, WANG Rui-miao, YANG Hai-feng, LIU Yong-chao, ZHU Xiao-jun, LUO Jia-xin, YANG Yi, ZHANG Qian. Optimization Operation of Integrated Energy Microgrid Cluster Considering Source-Load Uncertainty[J]. Electric Power Construction, 2024, 45(8): 128-139.
Citation: FAN Xiao-wei, WANG Rui-miao, YANG Hai-feng, LIU Yong-chao, ZHU Xiao-jun, LUO Jia-xin, YANG Yi, ZHANG Qian. Optimization Operation of Integrated Energy Microgrid Cluster Considering Source-Load Uncertainty[J]. Electric Power Construction, 2024, 45(8): 128-139.

计及源荷不确定的综合能源微电网集群优化运行

Optimization Operation of Integrated Energy Microgrid Cluster Considering Source-Load Uncertainty

  • 摘要: 在“双碳”背景下,为解决当今综合能源微电网(integrated energy microgrid, IEM)往往独立运行而导致能源浪费和不平衡分配的问题,构建了一种基于纳什均衡博弈框架的微电网集群电能共享模型。模型考虑源荷双重不确定性,提高了微电网运行的鲁棒性。其次,设计了一种改进交替方向乘子算法(alternating direction method of multipliers, ADMM)对微电网集群经营成本进行求解,验证了算法和模型的有效性并加快了运算收敛速度。最后,提出基于纳什均衡的效益分配策略,以贡献度综合评估各主体的谈判力指标,保证微电网集群内各主体收益的公平分配。算例分析表明所提模型可快速求出内部交易的电量与电价,最大程度降低微电网集群经营成本的同时也降低了碳排放量。

     

    Abstract: In the context of “3060 dual carbon”, a micro grid cluster energy sharing model based on Nash equilibrium game framework was constructed to solve the problems of energy waste and unbalanced distribution caused by the independent operation of current integrated energy microgrid(IEM). The model considers the source-load dual uncertainty, to improve the robustness of microgrid operation. Subsequently, an improved alternating direction method of multipliers(ADMM) was designed to solve the operating costs of microgrid clusters, verifying the effectiveness of the algorithmic model and accelerating the convergence speed of operations. Finally, the proposed benefit allocation strategy based on the Nash equilibrium comprehensively evaluates the negotiation power indicators of each entity through contributions, ensuring a fair distribution of benefits among all entities within the microgrid group. An example analysis showed that the proposed model can quickly calculate the quantity of electricity and price of internal transactions, thereby minimizing the operating costs of microgrid clusters and reducing carbon emissions.

     

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