Title :
Adaptive Clonal Algorithm and Its Application for Optimal PMU Placement
Author :
Bian, Xiaomeng ; Qiu, Jiaju
Author_Institution :
Dept. of Electr. Eng., Zhejiang Univ., Hangzhou
Abstract :
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
Keywords :
artificial immune systems; power system measurement; probability; adaptive clonal algorithm; bilevel programming model; cycle supplement population; immune systems; ingenious objective function; optimal PMU placement; phasor measurement unit; probability; receptor editing mechanism; recursive procedure; Acceleration; Discrete Fourier transforms; Frequency synchronization; Heuristic algorithms; Observability; Phase measurement; Phasor measurement units; Power measurement; State estimation; Voltage;
Conference_Titel :
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7803-9584-0
Electronic_ISBN :
0-7803-9585-9
DOI :
10.1109/ICCCAS.2006.284913