考虑越限风险的配电网移动式储能优化调度技术分析

Analysis of mobile energy storage optimal scheduling technology in distribution network considering violation risk

如今整县分布式光伏开发工作正有序推进,但由于偏远地区配电网的负荷体量较小且较为分散,大规模分布式光伏接入配电网之后,给系统运行带来了不确定性,容易出现电压过高或过低等越限风险。为此引入系统电压和支路潮流的概率性评估方法,对越限风险进行量化计算。同时建立了考虑越限风险的配电网移动式储能双层优化调度模型,并采取动态随机最优潮流算法对所建立的模型进行求解。以IEEE33节点系统为算例,分析移动式储能的调度控制策略。算例结果表明采用本文所述优化调度方法,在保证移动式储能具有较高运行效益的同时,能够提高配电系统的电压质量合格率,降低系统网损和提升系统供电可靠性。

At present,the development of distributed photovoltaic in the entire county is progressing in an orderly manner.However,due to the small and dispersed load volume of the distribution network in remote areas,the large-scale integration of distributed photovoltaic into the distribution network brings uncertainty to the system operation,and is prone to risks of exceeding limits such as high or low voltage.A probabilistic evaluation method for system voltage and branch power flow to quantify the risk of exceeding limits is introduced.At the same time,a two-layer optimization scheduling model for mobile energy storage in distribution networks considering the risk of exceeding limits was established,and a dynamic stochastic optimal power flow algorithm was adopted to solve the established model.Taking the IEEE 33 node system as an example,the scheduling control strategy of mobile energy storage is analyzed.The calculation results show that using the optimization scheduling method described in this article can not only ensure high operational efficiency of mobile energy storage,but also improve the voltage quality qualification rate of the distribution system,reduce system network losses,and improve system power sup-ply reliability.