DocumentCode :
2897480
Title :
An optimal control strategy for reactive power in wind farms consisting of VSCF DFIG wind turbine generator systems
Author :
Fang, Jingmei ; Li, Gengyin ; Liang, Xuefeng ; Zhou, Ming
Author_Institution :
State Key Lab. of Alternate Electr. Power Syst., North China Electr. Power Univ., Beijing, China
fYear :
2011
fDate :
6-9 July 2011
Firstpage :
1709
Lastpage :
1715
Abstract :
Doubly-fed Induction Generator (DFIG) is a kind of variable-speed constant-frequency (VSCF) wind generator (WG) which can output reactive power when not working in the constant power factor mode and be used as a reactive power supply for wind farm. In this paper, an optimal control strategy for reactive power in wind farms consisting of DFIG is proposed by combining the reactive power compensation ability of both DFIG and reactive power compensation device (RPCD). The control target is minimum power loss and optimal power flow (OPF) of wind farm. First, the reactive power characteristic of DFIG is detailed analyzed. Then the control strategy which includes three modules is presented based on the “Fix-place and Quantitative” thought, and the modules of which are Wind Farm Data Process Module (WFDPM), Wind Farm Data Acquisition Module (WFDAM) and Wind Farm Control Module (WFCM). As the core part of the strategy, WFDPM applies Sensitivity Analysis (SA) and improved genetic algorithm (IGA) to optimize the control strategy. At last, a wind farm consisting of twenty DFIGs of 1.5MW is built in DIgSILENT/PowerFactory, and the results data show that the optimal reactive power control strategy proposed in this paper can effectively achieve the minimum power loss and OPF.
Keywords :
asynchronous generators; data acquisition; genetic algorithms; losses; optimal control; power engineering computing; power supplies to apparatus; reactive power control; sensitivity analysis; wind power plants; DIgSILENT/PowerFactory; VSCF DFIG wind turbine generator system; WFCM; WFDAM; WFDPM; constant power factor mode; doubly fed induction generator; genetic algorithm; minimum power loss; optimal control strategy; optimal power flow; optimal reactive power control strategy; power 1.5 MW; reactive power compensation device; reactive power supply; sensitivity analysis; variable speed constant frequency wind generator; wind farm control module; wind farm data acquisition module; wind farm data process module; Genetic algorithms; Optimal control; Reactive power; Stator windings; Voltage control; Wind farms; DFIG; improved genetic algorithm; optimal power flow; reactive power optimisation control; sensitivity analysis; wind farm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on
Conference_Location :
Weihai, Shandong
Print_ISBN :
978-1-4577-0364-5
Type :
conf
DOI :
10.1109/DRPT.2011.5994173
Filename :
5994173
Link To Document :
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