A Reliable Wide-Area Measurement System Using Hybrid Genetic Particle Swarm Optimization (HGPSO)
The state of the power system has to be estimated continuously and accurately by means of operating parameters i.e. voltage and current phasors. Phasor measurement unit (PMU) is becoming a most prominent tool for monitoring, control and protection of electric networks, and hence it is required to employ them for the present and future power system networks. Hence an Optimal PMU Placement (OPP) is quite important during the planning studies for both existing and future power networks. So, when a new state estimator is commissioned, or an existing estimator is up-graded, the problems of minimizing the number of PMUs and their optimal location for system with complete observability will come into scenario. This paper presents a novel Hybrid Genetic Particle Swarm Optimization (HGPSO) method based approach for a power system to have complete observability based optimal PMU placement problem subjected to all possible contingencies and PMU communication channel limitations. The proposed method is tested with some of standard IEEE test systems and also practiced on some Inter Regional Power Grids (IRPGs) of the Indian power system using MATLAB. The results obtained were also compared with existing techniques that have been already applied on the test systems said above, were proved to be the best and effective.
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