Phasor measurement units placement considering double contingency by differential evolution algorithm based on Pareto method

This paper suggests a methodology for Phasor Measurement Units (PMUs) optimum placement for State Estimation (SE) with regard to double contingency. Firstly, SE problem is converted into the optimization one where the fitness function is the number of unobservable nodes that is specified on the basis of Singular Value Decomposition (SVD). In the regular condition, Differential Evolution (DE) method is utilized to discover the optimum PMUs placement. According to uncertain events, a multi-objective problem is hence performed. Here, to attain this, DE method on the basis of Pareto optimum procedure is proposed. The proposed methodology is employed for the IEEE 30-bus test system considering several cases and results are prepared to assess the optimum PMUs places.