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dc.contributor.advisorAravinthan, Visvakumar
dc.contributor.authorHettiarachchige-Don, Anton C. Sameepa
dc.date.accessioned2016-11-14T21:53:51Z
dc.date.available2016-11-14T21:53:51Z
dc.date.issued2016-05
dc.identifier.othert16014
dc.identifier.urihttp://hdl.handle.net/10057/12659
dc.descriptionThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
dc.description.abstractThe installation of synchrophasor measurement units within the electrical grid system have provided utilities with the ability to monitor their transmission system in real time. These real time observations allow for better situational awareness and rapid responses to adverse system conditions. However, the real time impedance of the powerline is not one of the parameters that is transmitted to the control center and therefore, has to be calculated using the data received from multiple devices. This thesis proposes a simplified methodology for this analysis that requires lower computation power in comparison to most other proposed estimation techniques. Hence, this methodology is able to produce accurate results faster and by using a smaller quantity of stored data. Due to these reasons, this methodology can be implemented to provide near real time estimation and reporting of impedance values. For the purposes of this research, only the reactance information will be calculated but a similar approach can be used to obtain resistance information as well. The methodology consists of an algorithm to calculate and estimate the reactance of a line using the reported PMU data. It includes an outlier detection and elimination algorithm as well as a denoising technique that makes use of regularized least square estimation to accurately estimate the reactance over the analysis period. The methodology proposed is tested using real synchrophasor measurement data from a utility provider. The proposed mythology can easily be adapted and applied for the estimation and calculation of other parameters using PMU data.
dc.format.extentxii, 46 p.
dc.language.isoen_US
dc.publisherWichita State University
dc.rightsCopyright 2016 Anton C. Sameepa Hettiarachchige Don
dc.subject.lcshElectronic dissertations
dc.titleRealtime line parameter estimation using synchrophasor measurements and impact of sampling rates
dc.typeThesis


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  • CE Theses and Dissertations
    Doctoral and Master's theses authored by the College of Engineering graduate students
  • EECS Theses and Dissertations
    Collection of Master's theses and Ph.D. dissertations completed at the Dept. of Electrical Engineering and Computer Science
  • Master's Theses
    This collection includes Master's theses completed at the Wichita State University Graduate School (Fall 2005 --)

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