%0 Journal Article
%J IEEE Transactions on Power Systems
%D 2015
%T Methodology for Performing Synchrophasor Data Conditioning and Validation
%A Jones, Kevin D.
%A Anamitra Pal
%A James S. Thorp
%K AA13-003
%K AARD
%K CERTS
%K phasor measurement units (PMUs)
%K RTGRM
%X A phasor measurement unit (PMU) only state estimator is intrinsically superior to its SCADA analogue with respect to speed, performance, and reliability. However, ensuring the quality of the data stream which enters the linear estimator is crucial before establishing it as the front end of an EMS or other network applications. One approach is to pre-process the phasor data before it arrives at the linear estimator. This paper presents an algorithm for synchrophasor data conditioning and repair that fits neatly as a prefix into the existing linear state estimation formulation. The methodology has been tested using field data obtained from PMUs installed in Dominion Virginia Power's (DVP's) EHV network. The results indicate that the proposed technique provides a computationally simple, elegant solution to the synchrophasor data quality problem.
%B IEEE Transactions on Power Systems
%V 30
%P 1121 - 1130
%8 05/2015
%N 3
%! IEEE Trans. Power Syst.
%R 10.1109/TPWRS.2014.2347047
%0 Conference Paper
%B 2013 IEEE Power & Energy Society General Meeting
%D 2013
%T Three-phase linear state estimation using Phasor Measurements
%A Jones, Kevin D.
%A James S. Thorp
%A Gardner, R. Matthew
%K AA13-003
%K AARD
%K CERTS
%K phasor measurement units (PMUs)
%X Given the ability of the Phasor Measurement Unit (PMU) to directly measure the system state and the increasing implementation of PMUs across the electric power industry, a natural application of PMUs to state estimation techniques would be one that employed the exclusive use of PMU data. Virginia Electric and Power Company aims to implement a three-phase linear tracking state estimator such as this on their 500kV network as part of a DOE demonstration project started in 2009. This paper represents a summary of some the work completed during this project and presents some practical learnings from the implementation.

%B 2013 IEEE Power & Energy Society General Meeting
%I IEEE
%C Vancouver, BC
%P 1 - 5
%8 07/2013
%R 10.1109/PESMG.2013.6672516