太阳能学报复现（遗传算法GA）——风-水电（抽水蓄能）联合优化运行分析

摘要：本文针对风-水电（抽水蓄能）联合优化运行问题，提出了一种基于遗传算法（GA）的复现方法，并在太阳能学报中进行了实验分析。首先，建立了风-水电（抽水蓄能）联合运行模型，其中包括风力发电、水力发电和抽水蓄能等模块。然后，使用遗传算法对模型进行优化，以最大化系统的经济效益。最后，对优化结果进行了分析和验证，结果表明该方法能够有效提高系统的经济效益，具有一定的实用价值。

关键词：风-水电（抽水蓄能）；遗传算法；优化运行；经济效益

Abstract: In this paper, a method based on genetic algorithm (GA) is proposed for the joint optimization operation of wind-hydro-power (pumped storage) system, and experiments are conducted in the Journal of Solar Energy. Firstly, a joint operation model of wind-hydro-power (pumped storage) system is established, including modules such as wind power generation, hydro power generation and pumped storage. Then, genetic algorithm is used to optimize the model to maximize the economic benefits of the system. Finally, the optimized results are analyzed and verified, and the results show that the proposed method can effectively improve the economic benefits of the system and has practical value.

Keywords: wind-hydro-power (pumped storage); genetic algorithm; optimization operation; economic benefits