Feeder Power Disaggregation: A Data-Efficient Matrix Completion Approach

Chen, Yue; Zamzam, Ahmed; Bernstein, Andrey

doi:10.1109/pesgm52003.2023.10253158

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Feeder Power Disaggregation: A Data-Efficient Matrix Completion Approach

Chen, Yue·Zamzam, Ahmed·Bernstein, Andrey

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Abstract

This paper presents a data-driven algorithm for the feeder power disaggregation problem in distribution systems. Leveraging spatio-temporal power patterns in residential homes, residential power is discomposed into three components: sparse-switching loads, periodic loads, and photovoltaic (PV) generation, which are characterized through the design of two sparse matrices and a low-rank matrix. The matrix completion process is data-efficient because of the matrix sparsity and low rankness, along with the use of power system models. The proposed approach is tested using real-world residential data set on a 33-bus distribution system, demonstrating accurate power disaggregation with efficient matrix completion.

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distribution system matrix completion power disaggregation POWER TRANSMISSION AND DISTRIBUTION sparse matrix

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Chen, Yue, Zamzam, Ahmed, Bernstein, Andrey. 2023-09-25. Feeder Power Disaggregation: A Data-Efficient Matrix Completion Approach. https://doi.org/10.1109/pesgm52003.2023.10253158

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