Abstract
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.
Original language | English (US) |
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Article number | 6889046 |
Pages (from-to) | 1121-1130 |
Number of pages | 10 |
Journal | IEEE Transactions on Power Systems |
Volume | 30 |
Issue number | 3 |
DOIs | |
State | Published - May 1 2015 |
Externally published | Yes |
Keywords
- Data quality
- Kalman filter
- phasor measurement unit (PMU)
- state estimation
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering