Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

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

Journal Article · · IET Generation, Transmission, & Distribution
 [1];  [2];  [3];  [4]
  1. School of Electrical, Computer, and Energy Engineering Arizona State University Tempe AZ‐85281 USA, Network Dynamics and Simulation Science Laboratory Biocomplexity Institute of Virginia Tech Blacksburg VA‐24061 USA
  2. Virginia Electric and Power Company (d/b/a Dominion Virginia Power) Richmond VA‐23219 USA
  3. Network Dynamics and Simulation Science Laboratory Biocomplexity Institute of Virginia Tech Blacksburg VA‐24061 USA
  4. Network Dynamics and Simulation Science Laboratory Biocomplexity Institute of Virginia Tech Blacksburg VA‐24061 USA, Computer Science Department University at Albany – State University of New York Albany NY‐12222 USA

The primary objective of the conventional optimal phasor measurement unit (PMU) placement problem is the minimisation of the number of PMU devices that, when placed in a power system, measure all bus voltages. However, due to advancements in the field of relay technology, digital relays can now act as PMUs. This has significantly reduced device costs. Moreover, although the goal is to observe all the buses, the devices themselves can only be placed in substations, whose upgrade costs are much higher than those of the devices. Considering these factors, the approach proposed here simultaneously optimises the number of substations where traditional PMUs and dual‐use line relay PMUs can be placed. The general optimal substation coverage (GOSC) algorithm presented in this study is also able to incorporate practical requirements such as redundancy in the measurement of critical elements of the system, and estimation of the tap ratios of the transformers present. Simulation results indicate that the GOSC algorithm provides significant techno‐economic benefits.

Sponsoring Organization:
USDOE
Grant/Contract Number:
SC0003957
OSTI ID:
1786864
Alternate ID(s):
OSTI ID: 1535271
Journal Information:
IET Generation, Transmission, & Distribution, Journal Name: IET Generation, Transmission, & Distribution Journal Issue: 2 Vol. 11; ISSN 1751-8687
Publisher:
Institution of Engineering and Technology (IET)Copyright Statement
Country of Publication:
United Kingdom
Language:
English

References (22)

A graph theory based methodology for optimal PMUs placement and multiarea power system state estimation journal February 2015
Numerical observability method for optimal phasor measurement units placement using recursive Tabu search method journal April 2013
Reliability‐based phasor measurement unit placement in power systems considering transmission line outages and channel limits journal January 2014
Optimal phasor measurement unit placement for numerical observability in the presence of conventional measurements using semi‐definite programming journal November 2015
Binary particle swarm optimisation‐based optimal substation coverage algorithm for phasor measurement unit installations in practical systems journal February 2016
Fault Detection and Localization Methodology for Self-healing in Smart Power Grids Incorporating Phasor Measurement Units journal March 2015
A Novel Topological Genetic Algorithm-Based Phasor Measurement Unit Placement and Scheduling Methodology for Enhanced State Estimation journal August 2015
Multi-objective Phasor Measurement Unit Placement in Electric Power Networks: Integer Linear Programming Formulation journal August 2015
A Community-based Partitioning Approach for Phasor Measurement Unit Placement in Large Systems journal June 2016
Synchrophasor Measurement Technology in Power Systems: Panorama and State-of-the-Art journal January 2014
Observability and estimation of transformer tap setting with minimal PMU placement conference July 2008
A novel approach for optimal PMU placement considering channel limit conference October 2014
A PMU Placement Scheme Ensuring Real-Time Monitoring of Critical Buses of the Network journal April 2014
Realistic Approach for Phasor Measurement Unit Placement: Consideration of Practical Hidden Costs journal February 2015
Transformer Tap Setting Observability in State Estimation journal May 2004
Robust Measurement Design by Placing Synchronized Phasor Measurements on Network Branches journal February 2010
Taxonomy of PMU Placement Methodologies journal May 2012
Methodology for Performing Synchrophasor Data Conditioning and Validation journal May 2015
Synchronized Phasor Measurement Applications in Power Systems journal June 2010
A New Approach for Optimal Placement of PMUs and Their Required Communication Infrastructure in Order to Minimize the Cost of the WAMS journal January 2016
Integrated Model Considering Effects of Zero Injection Buses and Conventional Measurements on Optimal PMU Placement journal January 2015
The PMU Placement Problem journal January 2005

Similar Records

Binary particle swarm optimisation‐based optimal substation coverage algorithm for phasor measurement unit installations in practical systems
Journal Article · Sun Jan 31 23:00:00 EST 2016 · IET Generation, Transmission, & Distribution · OSTI ID:1786871

Power system observability with minimal phasor measurement placement
Journal Article · Sat May 01 00:00:00 EDT 1993 · IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States) · OSTI ID:6002913

A linear algorithm for minimum Phasor measurement units placement
Conference · Thu Dec 31 23:00:00 EST 2009 · OSTI ID:2520563

Related Subjects