Observability Constrained GA Approach for Optimal PMU Placement considering Zero Injection Modeling

摘要

Placement of synchrophasor measuring units (PMUs) at every bus of the network is infeasible because the investment required for PMUs is high. This paper proposes constrained optimization for placement of PMUs considering Zero Injection (ZI) constraint modeling utilizing Genetic Algorithm (GA) approach. The nonlinear constraints of buses are modeled to give accurate results. Constraints associated along with ZI buses and radial buses are modeled to optimize the number of buses for placement. GA is modeled with ZI constraints to minimize the number of locations without losing complete observability. The performance is measured by the Bus Observability Index (BOI) and Complete System Observability Performance Index (CSOPI). MATLAB simulations are carried out on IEEE -14, -30 and -57 bus-systems and compared with other methods in literature survey to show the effectiveness of the proposed approach.