基于改进NSGA-II算法的水-光-蓄发电系统多目标规划方法

ptimization of Hydropower-Photovoltaic-Pumped Hydro Storage Complementary Generation System Based on Improved NSGA-II Algorithm

摘要:

水-光-蓄联合发电系统是指利用水电和光伏发电互补性，用水电弥补光伏发电间歇性，同配备一定容量的抽水蓄能电站，利用储能手段平抑光伏出力波动性，同时提高光伏电能消纳能力的联合发电系统。水-光-蓄联合发电系统是一种有效的新能源开发利用新形势，而对联合系统的分布式光伏电站的选址定容以及抽蓄电站的容量配置问题是一个高维、非线性的规划问题。首先构建了水-光-蓄联合发电系统的数学模型，其次，针对规划问题的多目标性，利用了改进的NSGA-II算法得到帕累托最优解集，最后通过TOPSIS法完成了规划方案决策，并结合算例验证了方法的合理性。

关键词:水-光-蓄联合运行 分布式光伏选址定容 多目标规划

Abstract:

A hydropower-photovoltaic-pumped hydro storage complementary generation system is proposed to solve the challenge of high uncertainty of photovoltaic. The complementary generation system takes the use of the complementarity between hydropower and photovoltaic power generation to compensate for intermittent characteristics of photovoltaic power generation. And a pumped-storage power station is equipped to stabilize the photovoltaic output fluctuation, and to improve photovoltaic energy consumption at the same time. NSGA-II is used to solve the problems of multi-objective optimization of distributed photovoltaic power generation site selection and capacity of pumping storage station. In the end, the TOPSIS algorithm is used to screen out the optimal solution. The analysis of the optimal solution proves that this planning process is practical.

Key words:complementary power generation system; distributed photovoltaic power generation site selection; multi-objective optimization