DocumentCode :
2281811
Title :
Reactive power optimization algorithm of considering wind farm voltage control capability in distribution system
Author :
Zhao, Jingjing ; Li, Zhengkun ; Li, Dongdong
Author_Institution :
Dept. of Electr. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
fYear :
2011
fDate :
20-23 Aug. 2011
Firstpage :
1
Lastpage :
4
Abstract :
In recent years, the number of small size wind farm made up with doubly fed induction generators (DFIG) located within the distribution system is rapidly increasing. DFIG can be utilized as the continuous reactive power source to support system voltage control by taking advantage of their reactive power control capability. In this paper, the reactive power output of DFIG wind farm has been considered as the control variables in the reactive power optimization algorithm by considering the reactive power compensation capability of DFIG. The minimization of total system real power loss and voltage deviation are utilized as an objective and the particle swarm optimization (PSO) is used to determine the reactive power output of DFIG wind farm, tap positions of load tap changer transformers (LTC) and numbers of the capacitor banks in the distribution system. Finally, the proposed algorithm is applied to the 33-node distribution system and the results obtained demonstrate the efficiency of the algorithm.
Keywords :
asynchronous generators; minimisation; particle swarm optimisation; power capacitors; power transformers; reactive power control; voltage control; wind power plants; capacitor banks; continuous reactive power source; distribution system; doubly fed induction generators; load tap changer transformers; minimization; particle swarm optimization; power loss; reactive power compensation capability; reactive power control; reactive power optimization; small size wind farm; voltage control; voltage deviation; Optimization; Reactive power; Rotors; Stators; Wind farms; Wind speed; Wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1044-5
Type :
conf
DOI :
10.1109/ICEMS.2011.6073891
Filename :
6073891
Link To Document :
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