Power System State Estimation Including PMUs and Traditional Measurement Instruments

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Abootorabi Zarchi, Dawood | 2010

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 40703 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Hosseini, Hamid
Abstract:
State estimation is a process in which values of unknown system state variables is obtained by considering measurements in such a system. State estimators’ output data are applied in control centers of power systems. Nowadays, using of phasor measurement unit (PMU) in WAMS (Wide Area Measurement Systems) and SCADA have significantly extended. PMUs increase the accuracy proportion compared with traditional measurement units, improve the power networks observability as well as detect and correct bad data. Since the possibility of removing the traditional measurement devices and replacing them with full PMU ones does not exist in the near future it is mandatory to find out an efficient and cost-effective method for combining both of these devices. Hybrid State estimators are new approach in the stat estimation field so that the published papers in this field are very limited and written in two recent years. In this thesis has been tried to present an efficient technique with UKF algorithm for state estimation by using data of traditional measurement units and PMUs, simultaneously
Keywords:
State Estimation ; Kalman Filters ; Unscented Kalman Filter ; Phasor Measurement Unit ; Hybrid State Estimation

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