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Application of Chaos Particle Swarm Optimization in Short-Term Optimal Scheduling of Reservoirs

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DOI: 10.23977/hyde.2022.020101 | Downloads: 4 | Views: 255


Yan Jin 1, Lijun Luo 1, Yang Xiao 1, Kuidong He 1, Weibin Huang 2


1 Hydropower Industry Innovation Center, State Power Investment Corporation Limited, No. 188 Wuling Road, Tianxin District, Changsha City, Hunan Province, Changsha, China
2 College of Water Resource & Hydropower, Sichuan University, No. 24, South Section 1, First Ring Road, Chengdu City, Sichuan Province, Chengdu, China

Corresponding Author

Yan Jin


This paper combines particle swarm algorithm and chaos algorithm to solve the short-term optimal scheduling problem of reservoir. It takes advantage of the fast convergence velocity of the particle swarm optimization algorithm and the ergodicity and randomness of chaotic motion to modify the traditional particle swarm optimization algorithm, which gets rid of the shortcomings that particle swarm optimization algorithm easily falls into local extreme points in the later stage, while maintaining the search rapidity in the early stage. Through example calculation, the results show that the algorithm is obviously superior to the traditional particle swarm optimization algorithm in terms of convergence and stability, which is an effective search algorithm.


Hydropower station; short-term optimal scheduling; particle swarm algorithm; chaos search


Yan Jin, Lijun Luo, Yang Xiao, Kuidong He, Weibin Huang, Application of Chaos Particle Swarm Optimization in Short-Term Optimal Scheduling of Reservoirs. Advances in Hydraulic Engineering (2022) Vol. 2: 1-7. DOI:


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