Economic operation of isolated networks with wind power

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 1999

Autores

Manuel Matos (Autor) FEUP; Vladimiro Miranda (Autor) FEUP; Proenca, M (Autor) Outra; Hang, PS (Autor) Outra; Pinto, JL (Autor) Outra; Contaxis, G (Autor) Outra; Papadopoulos, M (Autor) Outra; Vlachos, A (Autor) Outra; Androutsos, A (Autor) Outra; Stefanakis, J (Autor) Outra; Gigantidou, A (Autor) Outra; Dokopoulos, P (Autor) Outra; Bakirtzis, T (Autor) Outra

Ata de Conferência Internacional

Título: Wind Engineering

Páginas: 89-105

Indexação

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-007-8XD

Abstract (EN): Economic operation of medium-sized and large isolated power systems with a high penetration of renewables, namely wind power, is not well suited neither by the conventional unit commitment/dispatch arrangements for interconnected systems, nor by the simplified procedures used in small systems. In this paper, the economic scheduling functions developed within CARE are described. The main idea is to perform on-line unit commitment in the same cycle with the dispatch, using the most recent forecasts, as described by Hatziargyriou et al. (2000). The Unit Commitment module has two variants: one based on Genetic Algorithms, and one using a Combinatorial Approach. On the other hand, three alternative procedures were developed for the Economic Dispatch: a Linear Programming Optimal Power Flow, an Evolutionary approach and a Genetic Algorithms based procedure. The paper describes the main features of the five approaches, including test results when appropriate.Economic operation of medium-sized and large isolated power systems with a high penetration of renewables, namely wind power, is not well suited neither by the conventional unit commitment/dispatch arrangements for interconnected systems, nor by the simplified procedures used in small systems. In this paper, the economic scheduling functions developed within CARE are described. The main idea is to perform on-line unit commitment in the same cycle with the dispatch, using the most recent forecasts, as described by Hatziargyriou et al. (2000). The Unit Commitment module has two variants: one based on Genetic Algorithms, and one using a Combinatorial Approach. On the other hand, three alternative procedures were developed for the Economic Dispatch: a Linear Programming Optimal Power Flow, an Evolutionary approach and a Genetic Algorithms based procedure. The paper describes the main features of the five approaches, including test results when appropriate.

Idioma: Inglês

Tipo (Avaliação Docente): Científica