Title :
An application of an evolution strategy in power distribution system planning
Author :
Miguez, E. ; Diaz-Dorado, E. ; Cidras, J.
Author_Institution :
Dept. de Enxeneria Electr., Vigo Univ., Spain
Abstract :
The optimal location and sizing of power distribution substations and feeder layouts is a common problem in new expansion planning. This paper is an application of a type of evolutionary algorithm called an evolution strategy (ES), to obtain optimal locations and sizes for power distribution substations such that the demand is met at minimum cost. The cost function for minimization includes substation investments, medium-voltage network costs and power losses
Keywords :
distribution networks; genetic algorithms; investment; power system CAD; power system planning; substations; cost function minimization; evolution strategy; evolutionary algorithm; expansion planning; feeder layout; medium-voltage network cost; minimum cost; optimal location; optimal sizing; power distribution substations; power distribution system planning; power loss; substation investment; Cost function; Evolution (biology); Genetic algorithms; Investments; Optimization methods; Power distribution; Power system planning; Strategic planning; Substations; Voltage;
Conference_Titel :
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4869-9
DOI :
10.1109/ICEC.1998.699719
