Application of Improved PSO Algorithm to Hydropower Station Optimal Operation

摘要：

The long term optimal operation of hydropower stations involves non-linear optimization with high dimensionality. An improved particle swarm optimization is presented in this article to solve the problem. The capacity of solving nonlinear problems is enhanced effectively through adjusting inertia factor dynamically in the algorithm of particle swarm optimization. In order to test the performance of the algorithm, it is applied to solve the long term optimal operation of hydropower station. The results showed that this algorithm is feasible for the problems of complex non-linear systems with rapid speed of convergence and superior precision.

关键词： particle swarm optimization hydropower station optimal operation

作者: Wenxian Guo Hongxiang Wang

作者单位: North China University of Water Resources and Electric Power Zhengzhou, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 162-165

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）