NDLI: Binary particle swarm optimisation-based optimal substation coverage algorithm for phasor measurement unit installations in practical systems

Content Provider	IET Digital Library
Author	Mishra, Chetan Jones, Kevin D. Pal, Anamitra Centeno, Virgilio A.
Abstract	Phasor measurement units (PMUs) play an important role in the wide-area monitoring and protection of modern power systems. Historically, their deployment was limited by the prohibitive cost of the device itself. Therefore, the objective of the conventional optimal PMU placement problem was to find minimum number of devices, which when carefully placed throughout the network, maximised observability subject to different constraints. Due to improvements in relay technology, digital relays can now serve as both relays and PMUs. Under such circumstances, the substation installations consume the largest portion of the deployment cost, and not the devices themselves. Thus, for minimising cost of synchrophasor deployment, number of substation installations must be minimised. This study uses binary particle swarm optimisation to minimise number of substations in which installations must be performed for making all voltage levels observable, while being subject to various practical constraints. Standard IEEE systems have been used to explain the technique. Finally, a large-scale network of Dominion Virginia Power is used as the test bed for implementation.
Starting Page	555
Ending Page	562
Page Count	8
ISSN	17518687
Volume Number	10
e-ISSN	17518695
Issue Number	Issue 2, Feb (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/10/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.1077
Journal	IET Generation, Transmission & Distribution
Publisher Date	2016-02-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Binary Particle Swarm Optimisation Cost Minimisation Cost Reduction Digital Relay Minimisation Modern Power System Protection Observability Observability Maximisation Optimal PMU Placement Problem Optimal Substation Coverage Algorithm Optimisation Technique Particle Swarm Optimisation Phasor Measurement Phasor Measurement Unit Installation Power System Measurement And Metering Power System Protection Relay Protection Standard IEEE System Substation Protection Substations Synchrophasor Deployment Wide Area Monitoring
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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