LAPSE:2023.20071v1
Published Article
LAPSE:2023.20071v1
Optimal PMU Placement Technique to Maximize Measurement Redundancy Based on Closed Neighbourhood Search
March 10, 2023
Abstract
This paper proposes a method for the optimal placement of phasor measurement units (PMUs) for the complete observability of a power system based on the degree of the neighbourhood vertices. A three-stage algorithm is used to determine the minimum number of PMUs needed to make the system observable. The key objective of the proposed methodology is to minimize the total number of PMUs to completely observe a power system network and thereby minimize the installation cost. In addition, the proposed technique also focuses on improving the measurement redundancy. The proposed method is applied on standard IEEE 14-bus, IEEE 24-bus, IEEE 30-bus, IEEE 57-bus and IEEE 118-bus test systems and a hybrid AC/DC microgrid test system. The results obtained are compared with already existing methods in terms of the Bus Observability Index (BOI) and System Observability Redundancy Index (SORI). The results show that the proposed method is simple to implement and provides better placement locations for effective monitoring compared to other existing methods.
Keywords
bifurcation, closed neighbourhood search, completely observable, neighbourhood degree, pruning
Suggested Citation
Hyacinth LR, Gomathi V. Optimal PMU Placement Technique to Maximize Measurement Redundancy Based on Closed Neighbourhood Search. (2023). LAPSE:2023.20071v1
Author Affiliations
Hyacinth LR: Department of Electrical and Electronics Engineering, Loyola-ICAM College of Engineering and Technology, Chennai 600034, India [ORCID]
Gomathi V: Department of Electrical and Electronics Engineering, College of Engineering Guindy, Anna University, Chennai 600025, India [ORCID]
Journal Name
Energies
Volume
14
Issue
16
First Page
4782
Year
2021
Publication Date
2021-08-06
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14164782, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.20071v1
This Record
External Link

https://doi.org/10.3390/en14164782
Publisher Version
Download
Files
Mar 10, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
297
Version History
[v1] (Original Submission)
Mar 10, 2023
 
Verified by curator on
Mar 10, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.20071v1
 
Record Owner
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version
(0.08 seconds)

[0.08 s]