基于Multi-Agent遗传算法风电-抽水蓄能联合优化运行

An optimization for joint operation of wind power and pumped hydro storage based on Multi-Agent genetic algorithm

文章以经济和环境的综合效益最大化为目标,建立风电-抽水蓄能联合优化运行模型,考虑抽水蓄能机组和火电机组的各种运行限制,研究不同权重因子下电网效益、风电利用率和机组的出力情况,并研究了求解所建立优化模型的多Agent遗传算法,通过算例仿真验证所建模型及方法的有效性和实用性。结果表明风电场与抽水蓄能电站配合,可以降低风电对电网的影响,提高电网消纳风电的能力,还能够对火电厂机组功率起到平滑作用。

A model for joint operation of wind power and pumped storage system was proposed. It set maximization of economic and environmental profits as an objective function. Operation constraints of pumped storage units and thermal power generating units were considered. The situations such as grid benefits, availability of wind power and output of units were studied under different weight factors. The optimal model was solved by Muki-Agent genetic algorithm. A calculation example was illustrated to verify the efficiency and practicability of the model and algorithm described. Simulation results indicate that the coordinated operation of wind farm and pumped-storage plant not only reduces the impact of random wind power output on power system operation but also improves the ability of wind power was used by grid. Coordinated operation also can smooth the output of thermal power.