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Content Provider | IEEE Xplore Digital Library |
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Author | Vergnol, A. Sprooten, J. Robyns, B. Rious, V. Deuse, J. |
Copyright Year | 2009 |
Description | Author affiliation: Laboratoire d'Electrotechnique et d'Electronique de Puissance de Lille (L2EP), Ecole des Hautes Etudes d'Ingénieur (HEI), 13, rue de Toul, 59046 Lille France (Vergnol, A.; Sprooten, J.; Robyns, B.) || SUPELEC, Plateau du Moulon, 3, rue Joliot-Curie, 91992 Gif-sur-Yvette France (Rious, V.) || Tractebel Engineering (GDF SUEZ), 7, Avenue Arianne, B-1200 Brussels Belgium (Deuse, J.) |
Abstract | With the increased use of wind energy the power generation several Transmission System Operators (TSO) have increasing difficulties for congestion forecasting due to the unpredictable nature of the energy source. This paper proposes to enhance the congestion management using a real time supervisor. This supervisor is developed to perform automatic and dynamic re-dispatching using both wind and conventional generators. In order to reduce the production constraints to the minimum, the real time congestion management is based on an indicator of the efficiency of a re-dispatching on the power flowing in the overloaded line. This approach leads to reduced re-dispatching costs and increased network reliability. The simulation of the supervisor and the test grid is realized using by the EUROSTAG [1]. It is shown that the real-time supervisor allows maximization of renewable production during congestions while ensuring network reliability. |
Starting Page | 1 |
Ending Page | 10 |
File Size | 407855 |
Page Count | 10 |
File Format | |
ISBN | 9781424444328 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-09-08 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Subject Keyword | Costs Power system management Power transmission Wind forecasting Wind energy generation Variable speed drive Wind energy Load forecasting Energy system management Power management Production Wind power generation Energy management Testing |
Content Type | Text |
Resource Type | Article |
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