Optimal Micro-PMUs Placement with Channel Limits using Dynamically Controlled Taguchi Binary Particle Swarm Optimization

Abstract

The two-directional flow of electrical power has necessitated real-time monitoring of the distribution system (DS), which can otherwise result in power system failure. A micro-phasor measurement unit (micro-PMU) is proficient monitoring equipment that is presently employed to keep track of the changes taking place in DS. However, due to the higher cost of micro-PMU, an optimal number of micro-PMUs with channel limits must be strategically placed in the system. Therefore, an optimization problem for the optimal placement of micro-PMU has been formulated and solved in the present work under different operating scenarios for complete observability with sufficient redundancy. The optimal locations of micro-PMUs with channel limits in DS are obtained using an innovative technique that combines the concepts of Taguchi method (TM) and dynamically controlled binary particle swarm optimization (DBPSO). The proposed micro-PMU placement algorithm has been tested and analyzed on standard IEEE-33 bus and IEEE-69 bus distribution feeders with two different S-shaped and V-shaped sigmoidal functions. The results demonstrate that the proposed technique utilizing V sigmoidal function provides a better solution for optimal micro-PMU placement problem. A comparative investigation of the presented work to the existing micro-PMUs placement techniques for the DS establishes the efficacy of the proposed technique.