A dynamic state estimation method for power systems Online publication date: Sat, 11-Feb-2012
by Qing-quan Jia; Ning Wang; Chun-xia Dou; Zhi-qian Bo
International Journal of Computer Applications in Technology (IJCAT), Vol. 42, No. 2/3, 2011
Abstract: GPS based Phasor Measurement Units (PMUs) are prevailing in power systems. This paper introduces a dynamic state estimation method for power systems. As installation of PMUs at all buses is impractical, this method employs SCADA data that covers the whole system and PMU data that covers part of the system. The PMU samples are interpolated into the SCADA data to increase the measuring density. An iterative state estimation algorithm is established with the coordination of PMU and SCADA measurements. Example shows that the method can increase the estimating precision and provide more information on power system dynamics.
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