Optimal Placement of Phasor Measurement Units for Power System Observability Using A Hybrid of Genetic and Cuckoosearch (CS-GA) Algorithm

Power system state-owned estimation with limited consumption of synchronous phasor measurements demands that the system should be fully observable by (Phasor Measure Units) PMUs only. The allocation of the PMUs is a major issue which can be formulated as an optimization problem. This paper proposes a method, which is used to find minimum number of PMUs for complete observability of power system network for normal operating conditions. We propose a novel hybrid algorithm of Cuckoo Search and Genetic Algorithm called CS-GA, which is used to optimize the minimum number and optimal locations of PMUs needed to make the system observable without considering zero injection buses. The proposed method is used to benchmark the optimal PMUs placement solution for the IEEE 14-bus, IEEE 24-bus, IEEE 30-bus and IEEE 39-bus test systems. The simulation is presented using the simulation tool, MatlabRa2012 and performances of the proposed method is represented as tables.