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Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 32-220
Full Name: Jingjing Zhao
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: Department of Electrical Engineering,Chongqing University£¬Chongqing 400030£¬China
Country: CHINA
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E-mail address: jingjingzhao@cqu.edu.cn
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Title of the Paper: joint optimization algorithm for network reconfiguration and reactive power control of wind farm in distribution system
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Number of paper pages: 13
Abstract: In recent years, the number of small size wind farms used as DG sources located within the distribution system are rapidly increasing. Wind farm made up with doubly fed induction generators (DFIG) is proposed in this paper as the continuous reactive power source to support system voltage control due to the reactive power control capability of DFIG. In the distribution system, considering network reconfiguration and wind farm reactive power control are both used to improve power profile and they have an inherent coupling relationship, in this paper, a joint optimization algorithm of combining reactive power control of wind farm and network reconfiguration is proposed. In the proposed joint optimization algorithm, an improved hybrid particle swarm optimization with wavelet mutation algorithm (HPSOWM) is developed for voltage profile improvement which utilized reactive power output of wind farm as the control variable. In each particle updating instance at each iterat!
ion of reactive power output optimization algorithm, a binary particle swarm optimization algorithm (BPSO) is utilized to find the optimal network structure. Finally, classical 16-node feeder is used as a test case to evaluate the algorithm. The experimental result demonstrates the correctness of the algorithm.
Keywords: wind farm, DFIG wind turbine, reactive power control, network reconfiguration, particle swarm optimization
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