A Optimal Placement of Phasor Measurement Units on Shiroro 330kv Grid Network using Binary Grey Wolf Optimization Algorithm

Phasor Measurement Units (PMUs) are essential for enhancing the control, monitoring, and observability of modern power systems. This research presents an optimal PMU placement approach for the Shiroro 330 kV grid network using the Binary Grey Wolf Optimization (BGWO) algorithm. The objective is to minimize the number of PMUs while ensuring full system observability under both normal and contingency conditions. The BGWO algorithm, inspired by the hunting behavior of grey wolves, is a powerful metaheuristic technique for solving binary optimization problems. By applying this method to the Shiroro grid, the study demonstrates how optimal PMU placement enhances grid observability and reliability. Compared to alternative optimization techniques, BGWO provides improved accuracy and reduced computational time. The simulation results validate the effectiveness of the proposed approach in achieving a cost-effective and reliable PMU deployment strategy for the 330 kV network.