基于改进NSGA-Ⅱ算法的多站融合系统运行优化

Operation optimization of multi-station integration system based on improved non-dominated sorting genetic algorithm-Ⅱ

为优化多站融合系统的运行,以提高系统运行经济性、环保性、消纳率为优化目标,对多站融合系统进行研究分析。构建包含光伏电站、风机、储能电站以及多种负荷的多站融合系统优化模型并建立约束条件。改进了NSGA-Ⅱ算法,在传统NSGA-Ⅱ算法的基础上引入量子搜索以进一步提高搜索能力,在算法中利用蒙特卡洛模拟生成随机参数,从而求解包含多重不确定性的运行优化问题。以某地多站融合数据为例进行仿真分析,并与传统的粒子群算法以及未改进的NSGA-Ⅱ算法进行对比,算例验证所提方法能够提升多站融合系统的运营效益。

In order to effectively improve the economy of multi-station integration construction, based on ensuring the power supply reliability and new energy consumption of the system, a multi-station integration capacity optimal allocation model with levelized energy cost as the optimization objective is established, and a multi-station integration capacity optimal allocation method considering multiple uncertainties to solve the stochastic optimization model is proposed. The simulation results of multi-station fusion data show the effectiveness of the proposed method and model.