General optimal substation coverage algorithm for phasor measurement unit placement in practical systems-Reference-Cited by-同舟云学术

General optimal substation coverage algorithm for phasor measurement unit placement in practical systems

Published:2017-01 Issue:2 Volume:11 Page:347-353
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET gener. transm. distrib.

Author:

Pal Anamitra¹²,Mishra Chetan³,Vullikanti Anil Kumar S.²,Ravi S.S.²⁴

Affiliation:

1. School of Electrical, Computer, and Energy EngineeringArizona State UniversityTempeAZ‐85281USA

2. Network Dynamics and Simulation Science LaboratoryBiocomplexity Institute of Virginia TechBlacksburgVA‐24061USA

3. Virginia Electric and Power Company (d/b/a Dominion Virginia Power)RichmondVA‐23219USA

4. Computer Science DepartmentUniversity at Albany – State University of New YorkAlbanyNY‐12222USA

Funder

Defense Threat Reduction Agency

Directorate for Computer and Information Science and Engineering

U.S. Department of Energy

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.2016.0553

Reference30 articles.

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2. U.S. Department of Energy Office of Electricity Delivery and Energy Reliability: ‘Factors affecting PMU installation costs’. October 2014. Available athttps://www.smartgrid.gov/document/factors_affecting_pmu_installation_costs

3. The PMU Placement Problem

4. A Novel Topological Genetic Algorithm-Based Phasor Measurement Unit Placement and Scheduling Methodology for Enhanced State Estimation

5. Multi-objective Phasor Measurement Unit Placement in Electric Power Networks: Integer Linear Programming Formulation

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