Optimal network congestion management using wind farms

Arnaud Vergnol, Jonathan Sprooten, Benoît Robyns, Vincent Rious and Jacques Deuse
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Arnaud Vergnol: L2EP - Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 - Centrale Lille - Université de Lille - Arts et Métiers Sciences et Technologies - JUNIA - JUNIA - UCL - Université catholique de Lille
Jonathan Sprooten: L2EP - Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 - Centrale Lille - Université de Lille - Arts et Métiers Sciences et Technologies - JUNIA - JUNIA - UCL - Université catholique de Lille
Benoît Robyns: L2EP - Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 - Centrale Lille - Université de Lille - Arts et Métiers Sciences et Technologies - JUNIA - JUNIA - UCL - Université catholique de Lille
Vincent Rious: E3S - Supélec Sciences des Systèmes - Ecole Supérieure d'Electricité - SUPELEC (FRANCE)
Jacques Deuse: Tractebel - GDF Suez - Gaz de France Suez

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Abstract: With the increased use of wind energy for the power generation several TSO have increasing difficulties for congestion forecasting due to the unpredictable nature of the energy source. An actual method used to deal with days-ahead congestion planning is based on an order of disconnection of the generation of the type "last generation installed, first generation limited". 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. Actual and proposed methods are compared in the paper using Matlab/Simulink simulations of a realistic test grid. It is shown that the real-time supervisor allows maximization of renewable production during congestions while ensuring network reliability.

Keywords: Variable speed wind turbines; Congestion management; Wind farm; Power Transfer Distribution Factors (PTDF); Power system control; Active power dispatch; Variable speed wind turbines. (search for similar items in EconPapers)
Date: 2009-07-29
Note: View the original document on HAL open archive server: https://centralesupelec.hal.science/hal-00422544v1
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in CIGRE 2009, Jul 2009, Calgary, Canada. CD-Rom proceedings - 9 p

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00422544

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