Detection and Mitigation of Extreme Losses in Distribution Networks

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2021-06-27

Autores

João Tomé Saraiva (Autor) FEUP; José Pedro Paulos (Autor) Outra; José Nuno Fidalgo (Autor) FEUP; Nuno Barbosa (Autor) Outra

Ata de Conferência Internacional

Título: 2021 IEEE MADRID POWERTECH

Páginas: 1-6

14th IEEE Madrid PowerTech Conference (IEEE POWERTECH)

ELECTR NETWORK, JUN 28-JUL 02, 2021

Indexação

ISI Web of Knowledge - 0 Citações

ISI Web of Science

Scopus - 0 Citações

ScienceDirect (Elsevier)

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrotécnica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-00V-B5Z

DOI: 10.1109/powertech46648.2021.9495004

Abstract (EN): In Europe, clean distributed generation, DG, is perceived as a crucial instrument to build the path towards carbon emission neutrality. DG already reached a large share in the generation mix of several countries and the reduction of technical losses is one of its most mentioned advantages. In this scope, this paper discusses the weaknesses of this postulation using real networks. The adopted methodology involves the power flow simulation of a collection of real networks, using 15 min real measurements of loads and generations for a whole year. The clustering of similar cases allows identifying the situations that cause higher losses. A complementary objective of this research was to define an approach to mitigate this problem in terms of identifying the branches that, if reinforced, most contribute to losses reduction. The results obtained confirm the rationality of the proposed methodology.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6