Optimal PMU Placement using ILP and ACO:A Comparative Study

Phasor Measurement Unit (PMU) plays a key role for control and safety of a power system. For developing a smart grid, optimal placement of PMUs is necessary. Mathematical, Heuristic and Metaheuristic methods are widely used for solving Optimal PMU Placement (OPP). In this paper, a comparison is made between Mathematical method Integer Linear Programming (ILP) and Metaheuristic method Ant Colony Optimization (ACO). The comparison of results of both the methods for IEEE 14 Bus system were obtained in MATLAB and it is seen that ILP is more useful than ACO.