2009 IEEE Power &Amp; Energy Society General Meeting 2009
DOI: 10.1109/pes.2009.5275545
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A framework for estimation of power systems based on synchronized phasor measurement data

Abstract: 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 leastsquares problem, with bus voltage and line current magnitudes and phases as the estimate… Show more

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Cited by 12 publications
(5 citation statements)
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References 13 publications
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“…In [11], the effect of measurement asynchronicity on the state estimation accuracy and the effect of using PMU as well as SCADA measurements are analyzed. In [12] an iterative least square state estimator is formulated, 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 PMUs.…”
Section: Introductionmentioning
confidence: 99%
“…In [11], the effect of measurement asynchronicity on the state estimation accuracy and the effect of using PMU as well as SCADA measurements are analyzed. In [12] an iterative least square state estimator is formulated, 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 PMUs.…”
Section: Introductionmentioning
confidence: 99%
“…The relationship between measurements and state variables is non linear and it has to be linearised and then the solution to WLS problem is obtained by using iterative technique. However if a PMU is placed at every bus of the system the relation between measurements and state variables is linear and a non-iterative least square solution may be used to determine the system state [18]. The PMU provides a synchronized measurement of the voltage phasor at a bus and the current phasors through the branches associated incident on it.…”
Section: Optimal Placement Of Pmusmentioning
confidence: 99%
“…The method has also been applied to a transfer path in New York's high-voltage system [16] using real PMU data where we deliberately introduced artificial angle shifts to test our methodology. When angle shifts were introduced, the increase in the number of iterations in the Gauss-Newton method was insignificant.…”
Section: State Estimation and Phase Angle Correctionmentioning
confidence: 99%
“…These type of phase angle errors have been observed from recorded data in several utilities [15], [16], which may be due to a variety of reasons. Phasor angles are typically computed using some signal processing techniques over one cycle or portions of a cycle to minimize the impact of quantization.…”
Section: Introductionmentioning
confidence: 99%