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Active and Reactive Power Load Profiling Using Dimensionality Reduction Techniques and Clustering

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Date
2019
Author
Yetkin, E. Fatih
Ceylan, Oğuzhan
Papadopoulos, Theofilos A.
Kazaki, Anastasia G.
Barzegkar-Ntovom, Georgios A.
Abstract
This paper proposes a methodology to characterize active and reactive power load profiles. Specifically, the approach makes use of fast Fourier Transform for conversion into frequency domain, principle component analysis to reduce the dimension and K-means++ to determine the representative load profiles. The data set consists of five-year measurements taken from the Democritus University of Thrace Campus. Test days were also classified as working and non-working. From the results it is observed that the proposed methodology determines representative load profiles effectively both regarding active and reactive power.

Source

2019 54th International Universities Power Engineering Conference, UPEC 2019 - Proceedings

Volume

September 2019

URI

https://doi.org/10.1109/UPEC.2019.8893443
https://hdl.handle.net/20.500.12469/3657

Collections

  • Araştırma Çıktıları / Scopus [1565]
  • Yönetim Bilişim Sistemleri / Management Information Systems [145]

Keywords

clustering
electricity load profiles
frequency domain
principal component analysis
reactive power
real power

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