DocumentCode
2462261
Title
Economic Load Dispatch of Hydroelectric Plant Using a Hybrid Particle Swarm Optimization Combined Simulation Annealing Algorithm
Author
Wang, Yongqiang ; Zhou, Jianzhong ; Xiao, Wen ; Zhang, Yongchuan
Author_Institution
Sch. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
2
fYear
2010
fDate
16-17 Dec. 2010
Firstpage
231
Lastpage
234
Abstract
A hybrid particle swarm optimization combined simulated annealing method (HPSAO) is proposed to solve economic load dispatch in this paper. The Simulated annealing (SA) algorithm is used to help PSO jump out the local optimum. Furthermore, a feasibility-based rule is introduced to deal with the constraints. Finally, HPSAO is tested on Three Gorges hydroelectric plant. The results are analyzed and compared with other methods, which show the feasibility and effectiveness of the HPSAO method in terms of solution quality and computation time.
Keywords
hydroelectric power stations; particle swarm optimisation; power generation dispatch; power generation economics; simulated annealing; Three Gorges hydroelectric plant; economic load dispatch; feasibility-based rule; hybrid particle swarm optimization; simulation annealing algorithm; Biological system modeling; Economics; Load modeling; Particle swarm optimization; Power systems; Simulated annealing; PSO; SA; economic dispatch; global optimal;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9247-3
Type
conf
DOI
10.1109/GCIS.2010.79
Filename
5709257
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