梯级水电站与光伏电站的联合优化运行

摘要

Taking the cascade hydropower station and the photovoltaic power station as the research object,this paper proposes a hydropower and photovoltaic power complementary operation scheme,and establishes a two-objective mathematical model with the maximum total power generation and the minimum residual load curve fluctuation.The study also solved the multi-objective optimization problem using the cuckoo algorithm and obtains a more uniform set of Pareto solutions by improving the fitness function.Simulations were made with the predicted typical daily output data of three cascade hydropower station in Geermu River Basin and a local photovoltaic power station.Through optimization,the daily generation output of the cascade hydropower station increased by 73 844 kW·h.At the same time,the problems of randomness,intermittency and volatility of the output of photovoltaic power plants were solved,which increased the consumption of the photovoltaic power by 71 991 kW·h and effectively improved the residual load curve.The method proposed in the paper helps to improve the economic efficiency and the utilization rate of photovoltaic power.%以梯级水电站和光伏电站为研究对象,提出互补联合运行的方案,并建立了以总发电量最大、剩余负荷曲线波动最小的双目标数学模型,并使用布谷鸟算法解决此多目标优化问题,并通过改进适应度函数来得到更加均匀的Pareto解集.以格尔木河流域三级水电站与当地某光伏电站预测的日出力数据仿真.通过优化,梯级水电站日发电量提高了73 844 kW·h,同时解决了光伏电站的输出的随机性、间歇性和波动性,使得光伏日上网电量提升了71 991 kW·h,且有效改善了剩余负荷曲线,有利于提高经济效益和提高光伏的使用率.