基于改进SNGA的梯级水电站群短期优化调度研究.pdfVIP

第四届全国水力机械及其系统会议论文集 基于改进 SNGA 的梯级水电站群短期 优化调度研究 赵廷红1 1 2 王昱 满自斌 (1. 兰州理工大学能源与动力工程学院 兰州 730050 ； 2. 兰州理工大学图书馆 兰州 730050) 摘要：梯级水电站群短期优化调度是一个高维数、非凸的、离散的、非线性的动态优化问题，目前为止，尚没有一种非常高 效的方法来求解该问题。本文分析了小生境遗传算法的特性，针对传统小生境遗传算法存在的问题，对小生境算法进行了改 进，提出了一种带有捕猎者的自适应小生境遗传算法，并将其应用到梯级水电站群短期优化调度问题的求解中，验证实例的 结果显示，该算法能够很好地求解梯级水电站群短期优化调度问题，收敛速度快且精度高。 关键词：水电站群，短期优化调度，小生境遗传算法，自适应，欧式距离 中图分类号：TV697 Research on Short-term Optimal Scheduling of Cascaded Hydropower Stations Based on Improved SNGA ZHAO Tinghong, WANG Yu, MAN Zibin (1.School of Energy and Power Engineer, Lanzhou University of Technology, Gansu Lanzhou, 730050; 2. Library, Lanzhou University of Technology, Gansu, Lanzhou, 730050) Abstract ：It is a high dimension, non-protruding, dispersed, non-linear dynamic optimization question that Short-term optimal scheduling of cascaded hydropower stations, at present, still no one kind of very high-efficient method to solving this question. This paper analyses the characteristic of the niche genetic algorithm, direct against the question that the traditional niche genetic algorithm, have improve the niche genetic algorithm, and proposed a kind of self-adaptation niche genetic algorithm with predator, then apply it to solving the question of short-term optimal scheduling of cascaded hydropower stations, the result of the instance shows, this paper algorithm can well solve the short-term optimal scheduling of cascaded hydropower stations, and with high convergence speed and precision of solution. Key words ：Cascaded Hydropower Stations; Short-Term Optimal Scheduling; Niche genetic algorithm; Self-adaptation; Euclidean distance