摘要
在应用改进粒子群算法求解水电站水库中长期优化调度问题时,为了克服基本粒子群存在早熟、后期收敛速度慢等不足,通过采用线性递减权重系数并引入杂交算子,对基本PSO进行了改进,并将其应用于水库中长期优化调度函数研究中。与基于POA优化结果的回归分析建立的调度模型的对比分析表明,该算法原理简单,易于编程,求解精度高,从而为解决水库中长期优化调度问题提供了一种有效方法。
The improved PSO is presented to solve the problem of the long-term scheduling of reservoir, In order to overcome the shortcomings of standard PSO, for example, precocity and slow later convergence, linear-descending inertia and across operator are adopted in our study, In the case study, the reservoir operation function achieved by IPSO is tested and the superiority is apparent compared with that are obtained by progressive optimization arithmetic （POA）and through regression analysis on the simulation operation course gained by POA respectively, The application results fully show that IPS is a promising and valuable optimization method, which has the advantages of simple, easy to program, high accuracy and fast convergence. So a novel and effective solution is provided for long-term optimal scheduling of reservoir problem.
出处
《水力发电》
北大核心
2008年第2期94-97,共4页
Water Power
基金
科技部重大基础研究前期研究专项资助项目(2004CCA02500)
