Genetic Algorithm Based Approach for the Determination of Optimal Locations and Observability of Phasor Measurement Unit (PMU) Under Smart Grid Environment

摘要

Phasor Measurement Units (PMU) are used to monitor, protect and control power system networks and have become increasingly essential in latest years. In this paper, Genetic algorithm-based method is suggested for optimal positioning of the phasor measurement device. Identifying optimal locations of PMU is a main problem in the implementation of PMU. Full observability and minimum number of PMU are the two main considerations to be regarded during the PMU positioning phase. To ensure complete observability, it is not appropriate to consider only the baseline cases, but also contingency cases. The system's contingency classification is performed by the RBF network. The suggested technique is validated on the IEEE 14 and New England 39 bus schemes further the outcomes are contrasted with traditional techniques.