DocumentCode :
501066
Title :
Power dispatching of distributed wind-Solar power generation hybrid system based on genetic algorithm
Author :
Li, Min ; Wu, Jie ; Zeng, Jun ; Gao, LaMei
Author_Institution :
Electr. power Coll., South China Univ. of Technol., Guangzhou, China
fYear :
2009
fDate :
20-22 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper aims at seeking reasonable power dispatching scheme for distributed wind-solar power generation hybrid system, to satisfy some basic requirements, such as dispersed electric power demand, electric power quality and reducing generation cost and so on. Firstly we represented some elements of the main parts in the hybrid system; and then made basic dispatching strategies according to different situations; then pointed out four improving measures to improve basic genetic algorithm, such as, (1). Modify the producing way of selection probability, (2). Improve the way of crossover, (3). Protect excellent chromosomes, (4). Change mutation range and so on. In the end, we try to solve the units commitment for dispatching plan problem based on the improved genetic algorithm, and the application seem proved it reasonable.
Keywords :
distributed power generation; genetic algorithms; hybrid power systems; power generation dispatch; power generation scheduling; solar power stations; wind power plants; distributed wind-solar power generation; genetic algorithm; hybrid power system; power dispatching; unit commitment; Biological cells; Costs; Dispatching; Distributed power generation; Genetic algorithms; Genetic mutations; Hybrid power systems; Power generation; Power generation dispatch; Protection; dispersed electric power demand; electric power dispatch; electric power quality; environment condition; genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Systems and Applications, 2009. PESA 2009. 3rd International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-3845-7
Type :
conf
Filename :
5228659
Link To Document :
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