Title :
Optimal Placement of the Wind Generators in the Medium Voltage Power Grid
Author :
Jordan, A. ; Szczebiot, R. ; Maple, C. ; Cieslik, A.
Author_Institution :
Dept. of Comput. Sci. & Automatics, State Coll. of Comput. Sci. & Bus. Adm., Lomza, Poland
Abstract :
The minimization of power losses in the medium voltage (MV) grid requires adjustment of network of power sources. This problem is particularly important for renewable energy sources, for example for the farms of wind generators. Their placement and nominal power should be selected according to the configuration of the network and the largest loads. The implementation of the genetic algorithm (GA) to the presented problem is discussed in this paper. The formulation of the GA algorithm and its performance for different numbers of power sources is analyzed. The optimal placements of wind generators were computed for some case problems.
Keywords :
genetic algorithms; power grids; wind power plants; GA; MV grid; genetic algorithm; medium voltage power grid; optimal placement; power source; wind generator; Gallium; Generators; Genetic algorithms; Optimization; Power grids; Wind power generation; Wind turbines; genetic algorithms; medium voltage power grid; parallel processing; wind generators;
Conference_Titel :
Parallel Computing in Electrical Engineering (PARELEC), 2011 6th International Symposium on
Conference_Location :
Luton
Print_ISBN :
978-1-4577-0078-1
Electronic_ISBN :
978-0-7695-4397-0
DOI :
10.1109/PARELEC.2011.34