Title :

Fuzzy logic based supervisor of a wind farm including storage system and able to work in islanding mode

Author(s) :

Davigny, Arnaud [Auteur]
Hautes Etudes d’Ingénieur [Lille] [HEI]
Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697
Robyns, Benoit [Auteur]
Hautes Etudes d’Ingénieur [Lille] [HEI]
Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697

Conference title :

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

City :

Paris

Country :

France

Start date of the conference :

2006-11-07

Journal title :

IEEE Industrial Electronics Magazine

Publisher :

IEEE

Publication date :

2006-11

English keyword(s) :

Fuzzy logic
Wind farms
Wind energy generation
Power generation
Power system management
Wind turbines
Flywheels
Energy storage
Energy management
Power grids

HAL domain(s) :

Sciences de l'ingénieur [physics]

English abstract : [en]

In this paper, the possibility of a generating system, which associates a variable speed wind turbine and a flywheel energy storage system, to participate to the power network management is investigated. The connection to ...
Show more >In this paper, the possibility of a generating system, which associates a variable speed wind turbine and a flywheel energy storage system, to participate to the power network management is investigated. The connection to a power grid of a farm including three of them is considered. A solution is proposed to allow wind generators to work as voltage sources with the help of a frequency droop. It is shown that the power generated by these systems can be controlled by fixing the power set point when they are connected to the grid, and that, in case of islanding, they can share the global load of the isolated network. This paper focuses on the storage level management with the help of fuzzy logicShow less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Collections :

• Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697

Research team(s) :

Équipe Réseaux

Submission date :

2020-09-11T14:07:02Z
2024-02-08T15:16:27Z