Optimal Placement of the Wind Generators in the Medium Voltage Power Grid

Authors:
Carsten Maple;Andrzej Jordan;Ryszard Szczebiot
Affiliations:
University of Bedfordshire, UK;The State College of Computer Science and Business Administration in Lomza, Poland, and University of Bedfordshire, UK;The State College of Computer Science and Business Administration in Lomza, Poland
Venue:
International Journal of Distributed Systems and Technologies
Year:
2012

Citing 4
Cited 0

Genetic algorithms + data structures = evolution programs (3rd ed.)

Genetic algorithms + data structures = evolution programs (3rd ed.)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Introduction to Evolutionary Computing

Introduction to Evolutionary Computing
Optimal Placement of Wind Generators in Medium Voltage Power Grids -- Investigations of Genetic Algorithm

PARELEC '11 Proceedings of the 2011 Sixth International Symposium on Parallel Computing in Electrical Engineering

Quantified Score

Hi-index	0.00

Visualization

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 presented problem is solved using a genetic algorithm GA. 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. The algorithm is validated with a medium sized electrical grid. The formulation of the parallel version of the genetic algorithm is presented. Its properties are verified on the cluster of workstations environment.