Optimal Multi-Objective Hybrid Measurement Placement Using NSGA-II

Vol. 2  Issue 3
Year: 2014
Issue:Aug-Oct
Title:Optimal Multi-Objective Hybrid Measurement Placement Using NSGA-II
Author Name:Basetti Vedik and Ashwani Kumar Chandel
Synopsis:

In this paper, non-dominated sorting genetic algorithm-II(NSGA-II) is proposed for optimal placement of hybrid, i.e. PMUs and conventional meters. The hybrid measurement placement problem has been solved by simultaneously optimizing the two conflicting objectives, viz, Maximizing the measurement redundancy and the other, minimizing the installation cost ensuring full network observability. The Pareto optimal solutions are obtained using the non-dominated sorting and crowding distance criterion. Subsequently, a decision making procedure based on VIKOR method is employed to determine the best conciliation solution from the set of Pareto-optimal front. The effectiveness and flexibility of the proposed algorithm has been tested on IEEE 14-bus, IEEE-30 bus, and IEEE 57-bus systems respectively