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Extracting Steady State Components from Synchrophasor Data Using Kalman Filters

Farhan Mahmood, Hossein Hooshyar and Luigi Vanfretti
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Farhan Mahmood: Department of Electric Power & Energy Systems, The Royal Institute of Technology, Stockholm 10044, Sweden
Hossein Hooshyar: Department of Electric Power & Energy Systems, The Royal Institute of Technology, Stockholm 10044, Sweden
Luigi Vanfretti: Department of Electric Power & Energy Systems, The Royal Institute of Technology, Stockholm 10044, Sweden

Energies, 2016, vol. 9, issue 5, 1-15

Abstract: Data from phasor measurement units (PMUs) may be exploited to provide steady state information to the applications which require it. As PMU measurements may contain errors and missing data, the paper presents the application of a Kalman Filter technique for real-time data processing. PMU data captures the power system’s response at different time-scales, which are generated by different types of power system events; the presented Kalman Filter methods have been applied to extract the steady state components of PMU measurements that can be fed to steady state applications. Two KF-based methods have been proposed, i.e. , a windowing-based KF method and “the modified KF”. Both methods are capable of reducing noise, compensating for missing data and filtering outliers from input PMU signals. A comparison of proposed methods has been carried out using the PMU data generated from a hardware-in-the-loop (HIL) experimental setup. In addition, a performance analysis of the proposed methods is performed using an evaluation metric.

Keywords: data processing; kalman filters; phasor measurement units; real-time simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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