Thesis
Cross-referencing reconstruction of missing synchrophasor data using collaborative filtering
Washington State University
Master of Science (MS), Washington State University
2017
Handle:
https://hdl.handle.net/2376/101767
Abstract
With the proliferation of phasor measurement unit (PMU) devices across power system, there is growing use of synchrophasor data in applications. However, synchrophasor data may get lost as it flows through the data process path from the point of measurement to the point of use. The efforts to reconstruct the missing synchrophasor data have been challenging. The traditional methods such as linear interpolation are inaccurate and cannot show the ring-down features when system events exist. This thesis introduces the idea of using available measurements from recent history and nearby signals as cross-references to obtain accurate reconstructions of missing data. The problem is formulated as a matrix approximation problem, where collaborative filtering algorithm is applied. To adapt the algorithm into power system context, the thesis designs methods for normalizing scales, identifying neighbors and screening reasonable reconstruction results. The methodology has been tested using field data obtained from PMUs installed in Western Interconnection network. The results indicate that the proposed technique provides highly accurate reconstructions and modal information comparable to those from actual values.
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Details
- Title
- Cross-referencing reconstruction of missing synchrophasor data using collaborative filtering
- Creators
- Yang Zheng
- Contributors
- Mani Vaithianathan Venkatasubramanian (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525190001842
- Language
- English
- Resource Type
- Thesis