DocumentCode
2045696
Title
Research on unit commitment considering wind power accommodation
Author
Zhen-dong Wan ; Hao-zhong Cheng ; Liang-zhong Yao ; Bazargan, M.
Author_Institution
Dept. of Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2012
fDate
22-26 July 2012
Firstpage
1
Lastpage
7
Abstract
This paper proceeds with economic unit dispatch method and makes research on reasonable coping strategies of the wind power accommodation problem. 1 In order to accommodate more wind power in unit dispatch, while also takes into account the security and reliability standards of power system operation as well as the economic requirement, 3 optimization models of unit commitment are proposed from different aspects: discarded wind power, unit operational cost and system risk. A multi-objective optimization model is also proposed to integrate the 3 aspects. Quantum-behaved PSO algorithm and fuzzy multi-objective model are both used to solve these models. The above mentioned models and algorithms are applied to the calculation of a 10 units´ case, result analysis showed the modeling method of this paper pointed out a good way in unit commitment considering wind power accommodation.
Keywords
costing; fuzzy set theory; particle swarm optimisation; power generation dispatch; power generation economics; power generation reliability; power generation scheduling; power system security; wind power plants; discarded wind power; economic requirement; economic unit dispatch method; fuzzy multiobjective model; multiobjective optimization model; power system operation reliability standard; power system operation security standard; quantum-behaved PSO algorithm; system risk; unit commitment; unit operational cost; wind power accommodation; Biological system modeling; Economics; Linear programming; Load modeling; Optimization; Wind forecasting; Wind power generation; QPSO; economic dispatch; fuzzy multi-objective model; unit commitment; wind power accommodation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4673-2727-5
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PESGM.2012.6344814
Filename
6344814
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