DocumentCode :
1584188
Title :
A framework for estimation of power systems based on synchronized phasor measurement data
Author :
Vanfretti, Luigi ; Chow, Joe H. ; Sarawgi, Sanjoy ; Ellis, Dean ; Fardanesh, Bruce
Author_Institution :
Dept. of Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
fYear :
2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a new approach for synchronized phasor measurement-based state estimation, which starts from the buses with synchronized phasor data and enables highly accurate estimation of portions of the power system with connectivity to these phasor data buses. Observability analysis is used to assemble the buses for this Phasor State Estimator (PSE). The state estimation is formulated as an iterative least-squares problem, with bus voltage and line current magnitudes and phases as the estimated variables. An important aspect of this formulation is its ability to correct for constant or random phase biases that may exist in some phasor measurement equipment. Beside being a standalone state estimator, the PSE can enhance the reliability of a conventional state estimator. The PSE methodology is demonstrated for a power transfer path in the New York power system.
Keywords :
iterative methods; least squares approximations; load flow; phase measurement; power system measurement; power system state estimation; New York power system; bus voltage magnitudes; iterative least-squares problem; line current magnitudes; phasor data buses; phasor state estimator; power system state estimation; power transfer path; standalone state estimator; synchronized phasor measurement data; Assembly; Data buses; Observability; Phase estimation; Power measurement; Power system analysis computing; Power system measurements; Power system reliability; State estimation; Voltage; measurement placement; observability methodologies; phasor state estimation; synchronized phasor measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
ISSN :
1944-9925
Print_ISBN :
978-1-4244-4241-6
Type :
conf
DOI :
10.1109/PES.2009.5275545
Filename :
5275545
Link To Document :
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