Branch Current State Estimation Method for Power Distribution Systems

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dc.contributor.advisor Mesut E. Baran, Committee Chair en_US
dc.contributor.advisor Winser E. Alexander, Committee Member en_US
dc.contributor.advisor Subhashish Bhattacharya, Committee Member en_US
dc.contributor.advisor Sujit Ghosh, Committee Member en_US
dc.contributor.author Jung, Jae Sung en_US
dc.date.accessioned 2010-04-02T18:03:01Z
dc.date.available 2010-04-02T18:03:01Z
dc.date.issued 2009-08-09 en_US
dc.identifier.other etd-04202009-135716 en_US
dc.identifier.uri http://www.lib.ncsu.edu/resolver/1840.16/1298
dc.description.abstract Effective management of distribution systems requires analysis tools that can estimate the state of the system (the operating condition). This thesis aims at development of new analysis tools for this purpose. The main tool is the state estimator that will use historical data and the real-time data to estimate the state of the system determined by voltage at all of the nodes of a distribution feeder. This thesis considers the incorporation of voltage measurements in a branch-current-based state estimation (BCSE) program. Original BCSE is designed to include only power and current measurements. The motivation for enhancing BCSE is that with the adoption of large scale automated meter infrastructure (AMI) technologies, voltage measurements will be available at the distribution level. Hence, including these measurements has the potential to improve the accuracy of state estimation. Furthermore, this thesis presents a statistical technique for assessing the BCSE performance. For statistical analysis, 300 Monte Carlo simulations are performed. The overall performance including bias, consistency and quality of estimates is evaluated in order to see the effectiveness of the BCSE method. These concepts of statistical technique are illustrated and tested in this thesis. Finally, since correct connectivity is critical in system operations, topology estimation is expected to become a standard Energy Management System (EMS) function. Hence, two types algorithm are presented for detection and identification of topology error in BCSE. The first approach uses the idea that when the switch status changes, it will affect the measurements. The second approach is based on changing the on/off status of branches one after the other and performing a state estimation in each case. The effectiveness of the proposed approaches is demonstrated. In addition, topology detection results obtained by the two proposed methods are also compared. For testing the revised BCSE, a reduced version of the IEEE 34 node radial test feeder is used. The simulation platform used in this study is developed using C language on Microsoft Visual Studio .NET 2003. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject Power Distribution System en_US
dc.subject Topology Error Identification en_US
dc.subject Power System State Estimation en_US
dc.title Branch Current State Estimation Method for Power Distribution Systems en_US
dc.degree.name MS en_US
dc.degree.level thesis en_US
dc.degree.discipline Electrical Engineering en_US


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