Binary particle swarm optimisation‐based optimal substation coverage algorithm for phasor measurement unit installations in practical systems-Reference-Cited by-同舟云学术

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

Published:2016-02 Issue:2 Volume:10 Page:555-562
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET gener. transm. distrib.

Author:

Mishra Chetan¹,Jones Kevin D.²,Pal Anamitra³,Centeno Virgilio A.¹

Affiliation:

1. Bradley Department of Electrical and Computer EngineeringVirginia Polytechnic Institute and State UniversityBlacksburgVA24061USA

2. Virginia Electric and Power Company (d/b/a Dominion Virginia Power)RichmondVA23219USA

3. Network Dynamics and Simulation Science LaboratoryVirginia Bioinformatics Institute, Virginia Polytechnic Institute and State UniversityBlacksburgVA24061USA

Funder

Defense Threat Reduction Agency

National Science Foundation

Lawrence Berkeley National Laboratory

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2015.1077

Reference31 articles.

1. The Wide World of Wide-area Measurement

2. Regression tree for stability margin prediction using synchrophasor measurements

3. PMU-Based Fault Location Using Voltage Measurements in Large Transmission Networks

4. Optimal PMU Placement Considering Controlled Islanding of Power System

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mathematical Models for the Single-Channel and Multi-Channel PMU Allocation Problem and Their Solution Algorithms;Algorithms;2024-04-30

2. Allocation of synchronized phasor measurement units for power grid observability using advanced binary accelerated particle swarm optimization approach;Journal of Electrical Systems and Information Technology;2023-09-04

3. Research on optimization procedure of PMU positioning problem achieving maximum observability based on heuristic algorithms;11TH INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES;2023

4. A survey on binary metaheuristic algorithms and their engineering applications;Artificial Intelligence Review;2022-11-21

5. A Critical Review of State-of-the-Art Optimal PMU Placement Techniques;Energies;2022-03-14