基于博弈论的主动配电网扩展规划与光储选址定容交替优化

针对当前主动配电网规划方法无法反映投资者先后决策的问题,提出了基于博弈理论的主动配电网扩展规划与光储选址定容的双层交替优化方法。首先,基于当前欧洲国家广泛采用的自消费模式,提出了考虑峰谷电价的光伏和储能系统运行策略;其次,在此基础上建立了主动配电网扩展规划和光储选址定容的双层优化模型;然后,提出了双层优化模型求解方法,上层优化模型应用二进制粒子群算法进行优化,下层优化模型中引入博弈理论,决定光储的容量配置;最后,采用某规划区的配电系统进行仿真,优化结果表明,光储系统的合理配置与接入方案可有效降低用户的用电成本,也可有效降低配电系统的网络损耗。

Game Theory Based Alternate Optimization Between Expansion Planning of Active Distribution System and Siting and Sizing of Photovoltaic and Energy Storage

As the current active distribution network planning method does not reflect which investor makes the decision earlier, a bi-level alternate programming method is proposed between expansion planning of active distribution system and siting and sizing of photovoltaic power and storage based on the game theory. Firstly, based on a self-consumption trade pattern widely applied in European countries, a novel operation strategy for photovoltaic(PV)and energy storage system(ESS)considering peak and valley price is proposed. Based on this strategy, a bi-level optimization model is set up to optimize expansion planning of distribution network and siting and sizing of PV and energy storage. And then the binary particle swarm optimization algorithm is utilized in the upper level model for the optimization of installation nodes of new lines and distributed generators, the game theory is employed in the lower level model to determine the capacity configuration of PV and ESS in the lower level optimization. Finally, simulation tests are carried out in a distribution system in a certain planning area. Test results show that reasonable optimal storage system configuration and access solutions can reduce electricity cost of customers and effectively lower network loss in a distribution system.