基于主从博弈的配电网分布式储能配置-运行优化方法

Configuration-operation optimization method of distributed energy storage in distribution network based on stackelberg game deduction

摘要

随着可再生能源技术飞速发展,高比例分布式电源的接入给配电网的规划运行带来了新的挑战,而储能系统运行优化的合理配置对于提升配电网运行安全性与经济性有着重要作用。鉴于配电网追求的安全稳定运行目标与储能系统追求的经济性目标之间存在对立关系,为此提出一种基于主从博弈推演的配电网分布式储能配置-运行优化方法。该方法通过构建配电网运营商作为领导者、分布式储能运营商作为跟随者的主从博弈框架,并引入多目标粒子群算法结合内点法的混合求解策略,求出博弈双方策略互动下的最优均衡解。通过算例分析表明,该方法可有效模拟配电网与储能运营商之间的策略博弈过程,还能显著提升配电网电压运行安全,同时实现了储能系统运行成本的有效控制。

Abstract

With the rapid development of renewable energy technologies, the integration of high-penetration distributed generation poses new challenges to the planning and operation of distribution networks. Meanwhile, the rational allocation and optimized operation of distributed energy storage (DES) are of great significance in enhancing the safe and economy of distribution networks. Since the contradictory relationship between the safe and stable operation goals for the distributed network and the economic goals for DES, the thesis focus on a new method of configuration-operation optimization on for distributed DES based on Stackelberg game theory. This method contracts a framework with distributed network as a leader and DES operators as followers. Also, a mixed solution strategy of multi-objective particle swarm optimization algorithm combined with interior point method to obtain the optimal equilibrium solution is introduced in the paper. Case study shows that the proposed approach can effectively simulate the strategic game process between the distribution network and energy storage operators, significantly improve the voltage operation safety of the distribution network, and achieve effective control of DES′s operation cost.

关键词

配电网 / 分布式储能 / 主从博弈推演 / 分布式电源 / 多目标粒子群算法 / 电压调节

Key words

distribution network / distributed energy storage / stackelberg game deduction / distributed power generation / PSO / voltage regulation