Optimal allocation of power quality monitors based on an improved adaptive genetic algorithm
To solve power quality problems caused by voltage sag, an improved adaptive genetic algorithm is presented for the optimal allocation of power quality monitors. The basic idea of the algorithm is that the entire system can be observed when voltage sag occurs on the buses and along the lines, and thus, the minimum placement number of monitors is ensured. The fitness function of the genetic algorithm is adopted to evaluate individuals that randomly generate the placement number and the locations of monitors. The unobserved individuals are changed by applying the improved adaptive crossover operator and the mutation operator. The optimal solution is extracted from multiple eligible solutions by evaluating redundancy. The feasibility of the algorithm is verified on the IEEE30 bus system.
voltage sag observability adaptive genetic algorithm redundancy monitor optimization allocation
Wang Hong Li Dan Huang Wenqing Dai Yuxing
College of Engineering and Design, Hunan Normal University, Changsha, China 410081;College of Electr Hunan Vocational College of Science and Technology, Changsha, China 410004 College of Electrical and Information Engineering, Hunan University, Changsha, China 410082 College of Electrical and Information Engineering, Hunan University, Changsha, China 410082;College
国际会议
重庆
英文
774-785
2015-12-18（万方平台首次上网日期，不代表论文的发表时间）