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基于改进遗传算法的水光互补优化策略研究
Research on Hydro-solar Complementary OptimizationStrategy Based on Improved Genetic Algorithm
【摘要】 为了促进光伏并网、提高水光互补电站的效益,提出了利用水力发电补偿光伏发电的优化调度策略。首先分析了水光互补发电的基本原理,建立了水光互补发电的优化调度数学模型,对传统的遗传算法进行改进并对模型进行求解得到最优发电策略。结果表明,水光互补系统能在总出力很好地跟随计划发电曲线基础上显著提高整体的调峰能力,并且改进遗传算法,使系统运算速度与精度均得到有效提升,从而为水光互补电站提供更优的运行策略,使其具有更好的经济性与协调性。
【Abstract】 In order to promote photovoltaic grid connection and improve the efficiency of hydro-solar complementary power stations, an optimized scheduling strategy using hydroelectric power generation to compensate for photovoltaic power generation was proposed. Firstly, the basic principle of hydro-solar complementary power generation was analyzed, and an optimized scheduling mathematical model for hydro-solar complementary power generation was established. The traditional genetic algorithm was improved and the model was solved to obtain the optimal power generation strategy. The results show that the hydro-solar complementary system can significantly improve the overall peak shaving ability on the basis of well following the planned power generation curve in total output, and improve the genetic algorithm to effectively update the system’s computational speed and accuracy, thus providing a better operating strategy for the hydro-solar complementary power station, making it more economical and coordinated.
【Key words】 hydro-solar hybrid; improved genetic algorithm; scheduling model; optimization strategy; multi-objective optimization;
- 【文献出处】 电气自动化 ,Electrical Automation , 编辑部邮箱 ,2024年06期
- 【分类号】TM61;TP18
- 【下载频次】49