中国水利水电科学研究院学报2017，Vol.15Issue(5)：338-345,8.DOI:10.13244/j.cnki.jiwhr.2017.05.002
改进的粒子群算法在水库优化调度中应用
The application of improved particle swarm algorithm to reservoir operation optimization
张忠波 1何晓燕 2耿思敏 1李辉 2张大伟 1姜晓明1
作者信息
- 1. 中国水利水电科学研究院,北京100038
- 2. 水利部防洪抗旱减灾工程技术研究中心,北京100038
- 折叠
摘要
Abstract
The reservoir optimal operation is a huge-scale complex nonlinear problem,involving a large number of decision variables and complicated constraints,with high dimension,nonlinear,strong constraint characteristics.Therefore,the evolution with traditional methods are difficult to directly solve or has low computational efficiency with premature convergence.In order to improve the global search ability and convergence performance of particle swarm optimization,the improved particle swarm algorithm including the simplex downhill search strategy could improve the robustness of particle swarm and the algorithm efficiency.The improved algorithm was applied to reservoir operation optimization problem.The calculation results show that the method is easy to implement,with a high solving efficiency,which provides a new way for solving the reservoir operation optimization problem.关键词
水库优化调度/粒子群算法/下山搜索策略/三峡水库Key words
reservoir operation optimization/particle swarm algorithm/simplex downhill search strategy/the three gorges reservoir分类
水利科学引用本文复制引用
张忠波,何晓燕,耿思敏,李辉,张大伟,姜晓明..改进的粒子群算法在水库优化调度中应用[J].中国水利水电科学研究院学报,2017,15(5):338-345,8.
