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Net load disaggregation at secondary substation level

delete2023-05-01
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PRE
AI
I
Inês P. Moreira
H
Hugo Morais *
P
Pedro M. S. Carvalho
L
Luís Ferreira
DOI:10.1016/j.renene.2022.11.034delete
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摘要

摘要

En 中文
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.
Keyword:
Distribution network
Forecast
Net load disaggregation
Photovoltaic generation
Secondary substation

期刊

Renewable Energy 封面图
Renewable Energy
IF:
9.1
论文数:
2.6W
被引数:
12.1W

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inesc-id
学者数:
636
论文数: 504
被引数: 0
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