An accurate and dynamically robust state estimator is indispensable for the efficient and reliable operation of a power system. In this paper, a state estimation method based on Phasor Measurement Units (PMUs) is proposed for the real-time monitoring of power systems under various operating conditions. This PMU-based Robust Dynamic State Estimator (PRDSE) makes feasible the combination of historical measurements, obtained from the Supervisory Control And Data Acquisition (SCADA) system, with present more precision measurements obtained from PMUs. A new state accuracy-based weighting function is proposed to increase the robustness when the system encounters a large unwanted disturbance. Several IEEE test systems under normal and dynamic operation conditions are used to demonstrate the high performance of the PRDSE. Numerical results show the effectiveness and robustness of the PRDSE.

PMU Based Robust Dynamic State Estimation Method for Power Systems / Zhao, Junbo; Zhang, Gexiang; LA SCALA, Massimo. - (2015). (Intervento presentato al convegno Power & Energy Society General Meeting, 2015 IEEE tenutosi a Denver, CO nel 26-30 July 2015) [10.1109/PESGM.2015.7285708].

PMU Based Robust Dynamic State Estimation Method for Power Systems

LA SCALA, Massimo
2015-01-01

Abstract

An accurate and dynamically robust state estimator is indispensable for the efficient and reliable operation of a power system. In this paper, a state estimation method based on Phasor Measurement Units (PMUs) is proposed for the real-time monitoring of power systems under various operating conditions. This PMU-based Robust Dynamic State Estimator (PRDSE) makes feasible the combination of historical measurements, obtained from the Supervisory Control And Data Acquisition (SCADA) system, with present more precision measurements obtained from PMUs. A new state accuracy-based weighting function is proposed to increase the robustness when the system encounters a large unwanted disturbance. Several IEEE test systems under normal and dynamic operation conditions are used to demonstrate the high performance of the PRDSE. Numerical results show the effectiveness and robustness of the PRDSE.
2015
Power & Energy Society General Meeting, 2015 IEEE
978-146738040-9
PMU Based Robust Dynamic State Estimation Method for Power Systems / Zhao, Junbo; Zhang, Gexiang; LA SCALA, Massimo. - (2015). (Intervento presentato al convegno Power & Energy Society General Meeting, 2015 IEEE tenutosi a Denver, CO nel 26-30 July 2015) [10.1109/PESGM.2015.7285708].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/60578
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