DEVELOPMENT OF AN IMPROVED BINARY CODED GENETICALGORITHM OPTIMAL PMU DEPLOYMENT FOR COMPLETE NETWORK OBSERVABILITY

An Improved Binary Coded Genetic Algorithm for optimal Phasor Measurement Unit (PMU) deployment. A new PMU deployment optimizer was developed, and integrated into the conventional binary coded genetic algorithm (BCGA), to form an improved binary coded genetic algorithm (IBCGA), with high rate of convergence. This is applied for the optimal deployment of the PMUs in systems with different sizes and topologies (both mesh and radial). The Improved algorithm was developed and used to determine the optimal placement of PMU with the objective to minimize the total number of PMU for complete network observability. To ascertain its efficacy, the developed algorithm is applied to IEEE 14-bus mesh system and 33-bus, 69-bus radial systems. The results obtained for IEEE 33-bus and 69-bus system were validated by comparing the results obtained by the available literature, the proposed approach demonstrated effectiveness in the optimal PMU deployment.