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Methodology for Performing Synchrophasor Data Conditioning and Validation
DOI:10.1109/TPWRS.2014.2347047.png)
摘要
En 中文
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.
Keyword:
Data quality
Kalman filter
phasor measurement unit (PMU)
state estimation
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期刊
IF:
7.2
论文数:
1.1W
被引数:
5.0W
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引用论文
A Two-Stage Kalman Filter Approach for Robust and Real-Time Power System State Estimation用于鲁棒和实时电力系统状态估计的两阶段卡尔曼滤波方法
Phasor-Measurement-Based State Estimation for Synchrophasor Data Quality Improvement and Power Transfer Interface Monitoring基于相量测量的状态估计,用于同步相量数据质量改善和功率传输接口监视

