Smart Grid PMU Allocation Using Genetic Algorithm

Authors

  • Vahidhossein Khiabani Industrial & Manufacturing Engineering dept. NDSU
  • Ergin Erdem Industrial & Manufacturing Engineering dept. NDSU
  • Kambiz Farahmand Industrial & Manufacturing Engineering dept. NDSU
  • Kendall Nygard Computer Science dept. NDSU

Keywords:

Genetic algorithm (GA), multi-objective optimization;, nonlinear programming;, phasor measurement units (PMUs), reliability modeling

Abstract

A genetic algorithm (GA) based approach for reliability placement of phasor measurement units (PMUs) in smart grid is proposed. The algorithm combines two conflicting objectives which are maximization of the reliability of observability and minimization of the number of PMU placements for ensuring full system observability. The multiobjective problem is formulated as a nonlinear optimization problem and genetic algorithm approach is employed for solving the large scale bus systems. The optimization model is
solved for IEEE 14, 30, 57, 118, and 2383 standard bus systems. The effectiveness of the proposed approach has been demonstrated by comparing results with exact algorithms for smaller problem sizes. The results suggest that by employing genetic algorithm, the system reliability of observability is improved by approximately 48% as compared to traditional optimal PMU placement. According to results, the proposed approach achieve significant cost savings (~17%-~50%) compared to available reliability based models in literature.

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Published

2014-01-01

How to Cite

Vahidhossein Khiabani, Ergin Erdem, Kambiz Farahmand, & Kendall Nygard. (2014). Smart Grid PMU Allocation Using Genetic Algorithm . Journal of Network and Innovative Computing, 2, 11. Retrieved from https://cspub-jnic.org/index.php/jnic/article/view/48

Issue

Vol. 2 (2014)

Section

Original Article

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