Improved Genetic Algorithm Application in Reactive Power Optimization of Wind Farm

摘要：

The active power output and the reactive power consumption of wind farm changed with wind speed. Reactive power optimization is an efficient method to reduce power loss and improve power quality. Genetic algorithm (GA) can be applied in reactive power optimization. Traditional GA has some drawbacks, such as slow convergence and premature. The paper improve the coding method, genetic operators, crossover and mutation probability, stopping criterion in iteration. The reactive power optimization method with improved GA is tested in a MATLAB based simulation model. Results show that the proposed reactive power optimization method is simple and effective.

关键词： improved genetic algorithm reactive power optimization wind farm

作者: Tao Jin Zeng Xiangjun Zhang Ping Feng Kaihui

作者单位: School of Electrical & Information Engineering, Changsha University of Science and Technology, Hunan Province, 410114, P. R. China

会议类型: 国际会议

会议名称: The International Conference on Electrical Engineering 2009(2009 电机工程国际会议)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-07-05（万方平台首次上网日期，不代表论文的发表时间）