摘要
针对粒子群优化算法容易陷入局部最优解的问题,提出一种基于模拟退火机制的改进粒子群优化算法,并将其引入水库调度领域,设计了基于该算法的水电站水库优化调度问题的求解方法。计算实例表明,该方法采用并行搜索机制,计算速度快、全局寻优的可靠性较高,具有较好的应用前景。
Aimed at the problem of premature in particle swarm optimization(PSO) algorithm, a modified algorithm combining PSO with simulated annealing(SA) is presented in this paper. The PSO-SA(P-S) algorithm is introduced for reservoir operation, and a new method for optimal operation of hydropower station reservoir is put forward. An example shows that the PS algorithm based on parallel-searching mechanism has a better application prospects for its fast operation speed and high reliability in global optimization.
出处
《水力发电学报》
EI
CSCD
北大核心
2008年第3期12-15,21,共5页
Journal of Hydroelectric Engineering
基金
国家自然科学基金资助项目(50279041)
国家“863”计划研究资助项目(2005AA113150)
关键词
水电工程
优化调度
全局最优解
粒子群优化
水电站水库
hydropower engineering
optimal operation
global optimization solution
particle swarm optimization
hydropower station reservoir