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Net load disaggregation at secondary substation level

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  • Toro-Cárdenas, Mateo
  • Moreira, Inês
  • Morais, Hugo
  • Carvalho, Pedro M.S.
  • Ferreira, Luis A.F.M.

Abstract

With more and more micro-generation being connected to the low-voltage network, it becomes increasingly difficult for operators to anticipate the loading condition of their networks. Several facts concur with such difficulty, one being the frequent lack of knowledge about the generation component of the measured net load. The generation component is typically more volatile than the natural load and is impossible to predict without reliable information on the grid’s renewable installed capacity. In this context, the objective of this paper is to propose a non-intrusive methodology to estimate distributed generation’ installed capacity. Relying upon net-load historical data obtained at the secondary substation level and on historical meteorological data, the paper presents algorithms that proved effective in determining an approximation of the renewable embedded capacity. The accuracy and effectiveness of the proposed algorithms are illustrated in the paper with real data, for real use cases in the distribution systems.

Suggested Citation

  • Toro-Cárdenas, Mateo & Moreira, Inês & Morais, Hugo & Carvalho, Pedro M.S. & Ferreira, Luis A.F.M., 2023. "Net load disaggregation at secondary substation level," Renewable Energy, Elsevier, vol. 207(C), pages 765-771.
    • Handle: RePEc:eee:renene:v:207:y:2023:i:c:p:765-771
    DOI: 10.1016/j.renene.2022.11.034
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    2. Weixian Che & Yanfeng Wang & Wenwei Zhu & Lexin Hong & Can Fang & Huijun Wu & Jia Liu, 2024. "A Review of Carbon Emission Reduction During the Operation Stage of Substations," Sustainability, MDPI, vol. 16(22), pages 1-22, November.

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