含光储系统的增量配电网时段解耦动态拓展无功优化

从增量配电网安全运行及经济效益出发,针对高渗透率分布式光伏接入配网引起的相关问题,构建以系统有功损耗、电容器及变压器调节代价、储能调节代价综合最小为目标的时段解耦动态拓展无功优化模型。在传统无功优化的基础上增加储能有功调节能力和光伏无功调控能力,将动态无功优化解耦为多时段静态无功优化,采用灾变遗传算法求得含高渗透率光伏及储能的增量配网无功优化方案。仿真结果表明,提出的时段解耦动态拓展无功优化模型能够提高增量配电网的无功优化效果,在减少电网损耗、降低设备调节成本的同时,兼顾电网电压运行的安全性。

Time decoupled dynamic extended reactive power optimization in incremental distribution network with photovoltaic-energy storage hybrid system

Starting from the safe operation and economic benefit of the incremental distribution network and facing problems caused by high-permeability distributed photovoltaic access distribution networks, this paper puts forward a time decoupled dynamic extended reactive power optimization model, which aims to minimize the cost of power grid loss, capacitor and transformer regulation cost, and energy storage adjustment cost. Based on the traditional reactive power optimization model, the new model increases the power adjustment ability of energy storage and the reactive power adjustment ability of photovoltaic, decoupling dynamic reactive power optimization into multi-period static reactive power optimization. It uses the disaster genetic algorithm to obtain the reactive power optimization in incremental distribution network with photovoltaic-energy storage hybrid system and compare with other optimization method. Results show that proposed time decoupled dynamic extended reactive power optimization method can improve the effect of reactive optimization of incremental distribution network, reduce power grid loss and lower equipment adjusting cost, and consider the safety of power grid voltage operation. This work is supported by Natural Science Foundation of Guangdong Province (No. 2017A030313304) and National Natural Science Foundation of China (No. 51777077).