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
Link To Document :
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