2019
DOI: 10.1109/access.2019.2944818
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Transmission Lines Positive Sequence Parameters Estimation and Instrument Transformers Calibration Based on PMU Measurement Error Model

Abstract: Phasor Measurement Unit measurement data have been widely used in nowadays power system applications both in steady state and dynamic analysis. The performance of these applications running in utilities' energy management system depends heavily on an accurate positive sequence power system model. However, it is impractical to find this accurate model with transmission line parameters calculated directly with the PMU measurements due to ratio errors brought by instrument transformers and communication errors br… Show more

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Cited by 33 publications
(13 citation statements)
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“…However, the measured data include measurement noise due to voltage and current scaling error, quantization error and so on, so they do not always give the best solution. To find the optimal solution, these equations are reformulated into the following deviation functions (f (i) ), as shown in (11). In detail, (10)…”
Section: Parameter Identification Model Independent Of Padmentioning
confidence: 99%
“…However, the measured data include measurement noise due to voltage and current scaling error, quantization error and so on, so they do not always give the best solution. To find the optimal solution, these equations are reformulated into the following deviation functions (f (i) ), as shown in (11). In detail, (10)…”
Section: Parameter Identification Model Independent Of Padmentioning
confidence: 99%
“…This approach only brings conservativeness in systems with slow voltage recovery and usually not so much in systems where, 𝑰 refers to the generator terminal current vector; 𝒀 represents the extended admittance matrix [11], where all the loads and generators' transient reactances are transferred into branch admittances; 𝑬 refers to the generator internal EMF vector; and 𝒗 is the vector of bus voltages. So an equation between 𝑬 and 𝒗 can be found using the second row in ( 16):…”
Section: Polytopic Inner Approximation Of Lvrt Constrained Feasibilit...mentioning
confidence: 99%
“…The problem of parameter errors and measurement errors is usually studied using the least square method. Reference [22] proposes a phasor measurement unit-based positive sequence measurement error model to identify parameter errors based on the Weighted Least Square (WLS) SE. Reference [23] combines adaptive linear neuron and the traditional robust IGG method for parameter identification by training the adaptive linear neuron with the least mean square algorithm.…”
Section: Introductionmentioning
confidence: 99%