Adaptive Clonal Algorithm and Its Application for Optimal PMU Placement
To build a measuring system with the optimal PMUs (Phasor Measurement Unit) placement (OPP), a bilevel programming model is given, and a recursive procedure is proposed to judge the observability. The model is simplified to an ingenious objective function and an adaptive clonal algorithm (CLONALG) is proposed to find the globally optimal solution(s) and the approximately optimal solutions. In additional to imitating the clonal selection and the receptor editing mechanism of immune systems to realize the optimization, the algorithm adaptively adjusts the number of the cycle supplement population and the probabilities of hypermutation and recombination operators, according to the close level of the PMU numbers of the antibodies in the population. These adjustments can accelerate the optimizing process and prevent the search from locally optimal traps. The examples based on IEEE 14-bus/57-bus indicate that the proposed algorithm is more applicable to OPP problems than the other heuristic algorithms such as adaptive GAs and the original CLONALG.
Xiaomeng Bian Jiaju Qiu
Dept. of Electrical Engineering University of Zhejiang Hangzhou, Zhejiang Province, China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
2102-2106
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）