基于协同进化遗传算法的配电网风光储联合经济调度

Economic dispatch of distribution network with wind-solar-battery system based on co-evolutionary genetic algorithm

在当前气象及负荷曲线预测条件下,建立了综合考虑网络损耗、电压稳定、风光发电、储能套利等经济效益的风光储联合调度模型。为了解决光伏、风力发电的随机性与储能充放电的有限时序性之间协调配合问题,引入了协同进化遗传算法的多种群进化机制对模型进行求解,利用多个种群分别对光伏、风力、储能的出力进行优化控制,并通过种群的整体生态进化,达到目标最优。最后,利用PG&E 69节点算例,进行了多情景仿真分析,仿真结果充分验证了风光储联合优化对提高配电网系统经济运行的作用。

Under conditions of current weather and load curve forecasting,and considering the economic benefits of network loss,voltage stability,wind-solar power generation and energy storage arbitrage,a hybird power dispatch model of wind-solar-battery system is established.The multi-population evolutionary mechanism of co-evolutionary genetic algorithm is introduced to solve the coordination problem between the randomness of photovoltaic and wind power generation and the limited time sequence of energy storage charge-discharge.The output of photovoltaic,wind and energy storage is optimized by using multiple populations,and the target is optimized through the overall ecological evolution of the population.Finally,a multi-scenario simulation analysis was carried out with the example of PG&E69 node,and the simulation results fully verified the effect of the combined optimization of landscape storage on improving the economic operation of the distribution network system.