Economic operation of isolated networks with wind power

• Type: Article in International Conference Proceedings Book
• Date: 1999

Authors

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

Conference proceedings International

Title: Wind Engineering

Pages: 89-105

Indexing

Scopus - 2 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific