The Improvement of Particle Swarm Optimization: a Case Study of Optimal Operation in Goupitan Reservoir

3rd International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Li, Haichen^1 ; Qin, Tao^1 ; Wang, Weiping^1 ; Lei, Xiaohui^1 ; Wu, Wenhui^2

State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing

100038, China^1

Guangzhou Municipal Institute of Water Affairs Investigation and Design, Guangzhou

510610, China^2

关键词: Downhill simplex method;    Global optimum;    Optimal operation;    Reservoir optimal operation;    Small investments;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/113/1/012101/pdf
DOI  :  10.1088/1755-1315/113/1/012101

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Due to the weakness in holding diversity and reaching global optimum, the standard particle swarm optimization has not performed well in reservoir optimal operation. To solve this problem, this paper introduces downhill simplex method to work together with the standard particle swarm optimization. The application of this approach in Goupitan reservoir optimal operation proves that the improved method had better accuracy and higher reliability with small investment.