Optimal Placement of PMUs in Power Systems Using Mixed Integer Non Linear Programming and Bacterial Foraging Algorithm

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Published: Jul 28, 2010
DOI: https://doi.org/10.37936/ecti-eec.201191.172466
Keywords:
Optimal Placement PMU Bacterial Foraging Algorithm MINLP

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Kazem Mazlumi
Electrical Engineering Department, Zanjan University
Hesan Vahedi
Electrical Engineering Department, Zanjan University

Abstract

This paper aims to optimize the PMU (Phasor Measurement Unit) placement for a full observation of the power network and the minimum number of PMUs. In this paper, competition of Mixed Integer Non-Linear Programming and heuristically algorithms such as Bacterial Foraging Algorithm is presented. The results are demonstrated with PMU placement optimization simulation and a redundancy measurement analysis by using IEEE14-bus and Tehran Regional electric company 41-bus networks.

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How to Cite
Mazlumi, K., & Vahedi, H. (2010). Optimal Placement of PMUs in Power Systems Using Mixed Integer Non Linear Programming and Bacterial Foraging Algorithm. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 9(1), 150–156. https://doi.org/10.37936/ecti-eec.201191.172466
Issue
Vol. 9 No. 1 (2011): Special Session from ECTI-CON 2010
Section
Research Article

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References

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