Optimal PMU Placement for the Distribution System Based on Genetic-Tabu Search Algorithm

Taking the full network observability of distribution network operation state and least number of phasor measurement units (PMU) as objective function, a new optimal PMU placement method is proposed. A method of network compression based on load characteristics is proposed to reduce the range of PMU candidate locations. The proposed model can make the two objectives, namely the number of PMUs and system observability redundancy, to achieve the optimum simultaneously. A genetic-tabu search algorithm is proposed to A solve the model, which can keep the advantages of multi-origin, save memory function and ensure that the optimal solution can be obtained. The proposed method is validated by IEEE 34 bus system.