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dc.contributor.advisorTzoneva, R.
dc.contributor.authorKusekwa, Mashauri A. D.
dc.date.accessioned2016-06-13T08:25:56Z
dc.date.accessioned2016-09-09T08:03:48Z
dc.date.available2016-06-13T08:25:56Z
dc.date.available2016-09-09T08:03:48Z
dc.date.issued2010
dc.identifier.urihttp://hdl.handle.net/20.500.11838/2186
dc.descriptionThesis (DTech (Electrical Engineering))--Cape Peninsula University of Technology, 2010.en_US
dc.description.abstractStatic state estimation is a mathematical procedure in which physical measurements from sub-stations and physical model are combined in an optimal way. That is, the measurements obtained from the sub-stations are used with the physical model and the states of the power system are selected or calculated such that the states match the measurements in some best way. The states of a power system are the bus voltage magnitude and voltage angle of each bus of the system. Static state estimation is an increasingly common part of electrical power utility energy management systems (EMS). It plays a critical part in a day-to-day operation of a power system utility. The system measurements obtained from static estimation are used for realtime operations like optimal power flow calculations and contingency analysis. Proper system operations with regards to avoidance of insecure conditions includes situational awareness, therefore, the static estimator plays an important role in power system security. A further motivation: in increasingly electrical power deregulation, more economic operations mean savings for customers and electrical power provider alike. Economic benefit might be realized if system operators have a more accurate situational awareness of the system through improved power system state estimator. The objective of the study was to develop method, algorithm and MATLAB program for solution of power system state estimation using parallel processing techniques. In achieving the objective, the study has concentrated on development of an approximate Tanzanian power system network model comprising of 30 buses and used as a case study; decomposing the bus admittance matrix of the model into 3 interconnected sub-systems; development of mathematical model for real and reactive power injections, real and reactive power flows in the transmission lines and tie-lines connecting the sub-systems; development of measurement data model for voltage magnitude, real and reactive power injections, real and reactive power flows; formulating of a constrained weighted least absolute value state estimation problem; development of decomposition-coordination method and algorithm; and formulating algorithm and MATLAB program for solving the constrained state estimation problem using parallel processing technique.en_US
dc.language.isoenen_US
dc.publisherCape Peninsula University of Technologyen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/za/en
dc.subjectElectric measurementsen_US
dc.subjectElectronic measurementsen_US
dc.subjectElectric power systemen_US
dc.subjectElectric power system -- Controlen_US
dc.subjectMATLABen_US
dc.titleReal-time state estimation of a distributed electrical power system under conditions of deregulationen_US
dc.typeThesisen_US


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