Reactive power optimization of wind farm based on improved genetic algorithm

Energy Procedia

Volumn 14, Issue , 2012, Pages 1362-1367

  Zeng, Xiang Jun ^a   Tao, Jin ^b   Zhang, Ping ^c   Pan, Hui ^a   Wang, Yuan Yuan ^a  

^a CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b CHINA ELECTRIC POWER RESEARCH INSTITUTE   (China)

^c JiaXing HaiNing Power Supply Buerau   (China)

Author keywords

Improved genetic algorithm; Reactive power optimization; Wind farm

Indexed keywords

CONVERGENCE SPEED; CROSSOVER AND MUTATION; DECODING METHODS; GENETIC OPERATORS; GLOBAL PERFORMANCE; IMPROVED GENETIC ALGORITHMS; MAINTAINING VOLTAGE; MONGOLIA; POWER-LOSSES; REACTIVE POWER OPTIMIZATION; REACTIVE POWER PLANNING; STABLE CONVERGENCE; STOPPING CRITERIA; SYSTEM RELIABILITY; WIND FARM;

ELECTRIC UTILITIES; GENETIC ALGORITHMS; ITERATIVE DECODING; WIND POWER;

REACTIVE POWER;

EID: 84863353095     PISSN: 18766102     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.egypro.2011.12.1102     Document Type: Conference Paper

References (10)

1. Yu-tian Liu, Li Ma. Reactive power optimization based on tabu search approach. Automation Of Electric Power Systems 24 (2) (2000) 61-64(in chinese).
2. Ling Li, Xiang-jun Zeng, Ping Zhang. Wind farms reactive power optimization using genetic/tabu hybrid algorithm. International Conference on Intelligent Computation Technology and Automation, 2008, pp. 1272-1276.
3. Chang-chun Cai, Xiao-qun Ding, Bin Wang. Application of chaos simulation annealing in power system reactive optimization. High Voltage Engineering, 34 (3) (2008) 578-582(in chinese).
4. S.Sundhararajan, A. Pahwa. Optimal selection of capacitors for radial distribution systems using a genetic algorithm. IEEE Trans. Power Systems, 9 (3) (1994) 1499-1507.
5. Xiao-ping Wang, Li-ming Cao. Genetic Algorithm: theory and software used to achieve. Xi'an University of Electronic Science and Technology, press, Xi'an, China, 2002(in chinese).
6. Xin-yin Xiong, Yao-wu Wu. Genetic algorithm and its application in power system. Huazhong University of Science and Technology, press, Wu han, China, 2000(in chinese).
7. Jun-yong Zhang, Xia Ren, Hong-mei Zhong. The active power optizimation based on the catastrophe of GA. power system automation, 2002, 26(23):29-32(in chinese).
8. Wu-jun Zhang, Jian-feng Ye, Wei-jie Liang. Multiple objective reactive power optimization based on improved genetic algorithm. Power System Technology, 28(11) (2004) 67-71(in chinese).
9. Wiik J, Gjerde J O, Gjengedal T. Steady state power system issues when planning large wind farms. IEEE Power Engineering Society Winter Meeting, 2002, pp. 657-661.
10. Ying-jie Lei, Shan-wen Zhang. The box and the application of the MATLAB Genetic Algorithm. Xi'an University of Electronic Science and Technology, press, Wu han, Ching, 2006(in chinese).