A Hybrid Algorithm For Optimal PMU Placement

Maveeya Baba, Nursyarizal B.M. Nor, M. Aman Sheikh, A. Momin Baba, Masood Rehman, Syed Hamid Ali Shah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper presents a hybrid approach envision to determine the optimal PMU placement problem (OPPP) in any sort of IEEE network to make it observable. While using the old version of Graph-Theoretic Procedure (GTH) for optimization purposes, it takes additional time to complete the process and uses an extra number of PMUs for the placement model. Therefore, the importance of the presented work is to improve the performance of GTH using a merging process, and a certain number of important parameters from the Recursive algorithm (RA) are combined successfully. The proposed work is tested on different IEEE-case systems such as IEEE-9, -14, -24, -30, and New England 39-case system. Moreover, the results of the proposed hybrid approach are compared with the existing techniques to get the effectiveness of the proposed work about minimizing the number of PMUs.

Original languageEnglish
Title of host publicationInternational Conference on Intelligent and Advanced Systems
Subtitle of host publicationEnhance the Present for a Sustainable Future, ICIAS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728176666
DOIs
Publication statusPublished - 17 Dec 2021
Externally publishedYes
Event8th International Conference on Intelligent and Advanced Systems, ICIAS 2021 - Virtual, Online, Malaysia
Duration: 13 Jul 202115 Jul 2021

Publication series

NameInternational Conference on Intelligent and Advanced Systems: Enhance the Present for a Sustainable Future, ICIAS 2021

Conference

Conference8th International Conference on Intelligent and Advanced Systems, ICIAS 2021
Country/TerritoryMalaysia
CityVirtual, Online
Period13/07/2115/07/21

Keywords

  • Graph-Theoretic Procedure (GTH)
  • Phasor Measurement Units (PMUs)
  • Recursive algorithm (RA)

Cite this