Title :
Optimal Placement of Wind Generators in Medium Voltage Power Grids -- Investigations of Genetic Algorithm
Author :
Jordan, A. ; Maple, C. ; Szczebiot, R. ; Swierczewski, L.
Author_Institution :
Dept. of Comput. Sci. & Automatics, Coll. of Comput. Sci. & Bus., Lomza, Poland
Abstract :
The paper presents investigations of a genetic algorithm for computations of power losses in the MV power grid. In this case, the vector of start population PO0 and mutation likelihood was investigated. Diagrams of power losses in the grid dependent on the value of the mutation operator as well as the vector size of start population p are presented. The construction of the parallel genetic algorithm is presented. Its properties are verified on the cluster of workstations environment using MPI library. The algorithm is validated with a medium sized electrical grid.
Keywords :
genetic algorithms; power grids; wind power plants; MPI library; MV power grid; genetic algorithm; medium sized electrical grid; medium voltage power grid; optimal placement; power loss; wind generator; workstations environment; Algorithm design and analysis; Gallium; Generators; Genetic algorithms; Power grids; Program processors; Wind power generation; MPI; genetic algorithm; parallel processing; power grid; 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.2011.33
