@article{jones_methodology_2015,
	title = {Methodology for performing synchrophasor data conditioning and validation},
	volume = {30},
	url = {https://ieeexplore.ieee.org/abstract/document/6889046},
	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.},
	number = {3},
	journal = {IEEE Transactions on Power Systems},
	author = {Jones, Kevin D. and Pal, Anamitra and Thorp, James S.},
	month = may,
	year = {2015},
	keywords = {Current measurement, Data models, Data quality, Kalman filter, Kalman filters, Mathematical model, phasor measurement unit (PMU), Phasor measurement units, Prediction algorithms, Smoothing methods, state estimation},
	pages = {1121--1130},
}

{"_id":"5zbycJAKMWkfroMZi","bibbaseid":"jones-pal-thorp-methodologyforperformingsynchrophasordataconditioningandvalidation-2015","author_short":["Jones, K. D.","Pal, A.","Thorp, J. S."],"bibdata":{"bibtype":"article","type":"article","title":"Methodology for performing synchrophasor data conditioning and validation","volume":"30","url":"https://ieeexplore.ieee.org/abstract/document/6889046","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.","number":"3","journal":"IEEE Transactions on Power Systems","author":[{"propositions":[],"lastnames":["Jones"],"firstnames":["Kevin","D."],"suffixes":[]},{"propositions":[],"lastnames":["Pal"],"firstnames":["Anamitra"],"suffixes":[]},{"propositions":[],"lastnames":["Thorp"],"firstnames":["James","S."],"suffixes":[]}],"month":"May","year":"2015","keywords":"Current measurement, Data models, Data quality, Kalman filter, Kalman filters, Mathematical model, phasor measurement unit (PMU), Phasor measurement units, Prediction algorithms, Smoothing methods, state estimation","pages":"1121–1130","bibtex":"@article{jones_methodology_2015,\r\n\ttitle = {Methodology for performing synchrophasor data conditioning and validation},\r\n\tvolume = {30},\r\n\turl = {https://ieeexplore.ieee.org/abstract/document/6889046},\r\n\tabstract = {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.},\r\n\tnumber = {3},\r\n\tjournal = {IEEE Transactions on Power Systems},\r\n\tauthor = {Jones, Kevin D. and Pal, Anamitra and Thorp, James S.},\r\n\tmonth = may,\r\n\tyear = {2015},\r\n\tkeywords = {Current measurement, Data models, Data quality, Kalman filter, Kalman filters, Mathematical model, phasor measurement unit (PMU), Phasor measurement units, Prediction algorithms, Smoothing methods, state estimation},\r\n\tpages = {1121--1130},\r\n}\r\n","author_short":["Jones, K. D.","Pal, A.","Thorp, J. S."],"key":"jones_methodology_2015","id":"jones_methodology_2015","bibbaseid":"jones-pal-thorp-methodologyforperformingsynchrophasordataconditioningandvalidation-2015","role":"author","urls":{"Paper":"https://ieeexplore.ieee.org/abstract/document/6889046"},"keyword":["Current measurement","Data models","Data quality","Kalman filter","Kalman filters","Mathematical model","phasor measurement unit (PMU)","Phasor measurement units","Prediction algorithms","Smoothing methods","state estimation"],"metadata":{"authorlinks":{}},"downloads":1},"bibtype":"article","biburl":"https://raw.githubusercontent.com/Anamitra-Pal-Lab/pal_website_bib/main/Pal_Web.bib","dataSources":["PSMoWF6dzSbsHMtyv","XLcPRt7HYhQYi4rFg","rskDWJrezLGLbzMaG","erL8QyfZFLAgqsmYY","A9LJA7JBBSjHNw5um","zWwhYvSfNTW4Rg2Rm"],"keywords":["current measurement","data models","data quality","kalman filter","kalman filters","mathematical model","phasor measurement unit (pmu)","phasor measurement units","prediction algorithms","smoothing methods","state estimation"],"search_terms":["methodology","performing","synchrophasor","data","conditioning","validation","jones","pal","thorp"],"title":"Methodology for performing synchrophasor data conditioning and validation","year":2015,"downloads":1}