OPTIMAL MULTI-OBJECTIVE HYBRID MEASUREMENT PLACEMENT USING NSGA-II

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 red...

Full description

Saved in:
Bibliographic Details
Published inI-Manager's Journal on Power Systems Engineering Vol. 2; no. 3; p. 28
Main Authors BASETTI, VEDIK, ASHWANI KUMAR, CHANDEL
Format Journal Article
LanguageEnglish
Published Nagercoil iManager Publications 01.08.2014
Subjects
Algorithms
Hybrid control systems
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:2321-7499
2322-0376
DOI:10.26634/jps.2.3.3033