Using a Neural Network to Predict the Dynamic Frequency Response of a Power System to an Under-Frequency Load Shedding Scenario

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2000

Autores

Matthew A. Mitchell (Autor) Outra; João Peças Lopes (Autor) FEUP; José Nuno Fidalgo (Autor) FEUP; James D. McCalley (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings of the 2000 IEEE Power Engineering Society Summer Meeting

Páginas: 346-351

2000 IEEE Power Engineering Society Summer Meeting

Seattle, Washington, USA, 16 - JULHO - 2000

Outras Informações

DOI: 10.1109/PESS.2000.867608

Abstract (EN): This paper proposes a method to quickly and accurately predict the dynamic response of a power system during an under-frequency load shedding scenario. Emergency actions in a power system due to loss of generation typically calls for under-frequency load shedding measures to avoid potential collapse due to the lack of time in which to correct the imbalance via other means. Due to the slow and repetitious use of dynamic simulators the need for a fast and accurate procedure is evident when calculating optimal load-shedding strategies. A neural network (NN) seems to be an ideal solution for a quick and accurate way to replace standard dynamic simulations. The steps taken to produce a viable NN and corresponding results will be discussed.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6