DocumentCode
3384310
Title
Reactive Power Optimization for Wind Farms Group Integrated System
Author
Liu, Shipeng ; Guo, Liping ; Kang, Lijun ; Zhang, Leiqiong ; Guo, Han
Author_Institution
Inst. of Electr. Eng., Inner Mongolia Univ. of Technol., Hohhot, China
fYear
2012
fDate
27-29 March 2012
Firstpage
1
Lastpage
4
Abstract
Wind farm group integrated system consists of many Large-Scale a single wind farm, which will have a total capacity of 1,000MW (and above). Reactive- power fluctuation of Wind farm group will seriously worse the voltage in limited area nearby .However, Reactive power optimization is limited to the regulation of reactive power of a single wind farm mostly, that cannot satisfy the demand of voltage regulating for local power system. Using the voltage level of PCC and integrated substation as a target function, this paper applies an efficient method based on genetic algorithm to extract reactive power compensation point and optimize reactive power compensation capacity of STATCOM. Taking wind power system within Inner Mongolia Huitengxile district power network as an example, the simulation results show that this method is valid to prevent voltage collapse.
Keywords
genetic algorithms; optimisation; static VAr compensators; wind power plants; Inner Mongolia Huitengxile district power network; PCC voltage level; STATCOM; genetic algorithm; integrated substation; local power system; power 1000 MW; reactive power compensation capacity optimization; reactive power compensation point extraction; reactive power optimization; reactive power regulation; reactive-power fluctuation; voltage regulation; wind farm group integrated system; Automatic voltage control; Optimization; Reactive power; Substations; Wind farms;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location
Shanghai
ISSN
2157-4839
Print_ISBN
978-1-4577-0545-8
Type
conf
DOI
10.1109/APPEEC.2012.6306930
Filename
6306930
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