Title :
Exploiting the power of genetic algorithm in optimization of distribution networks
Author :
Skrlec, D. ; Krajcar, S. ; Pribicevic, B. ; Blagajac, S.
Author_Institution :
Fac. of Electr. Eng. & Comput., Zagreb Univ., Croatia
Abstract :
The paper presents a genetic algorithm approach for optimal primary distribution network planning. The application was developed for optimal structuring of a link configuration of a network. The model is based on solving the adapted multiple capacited vehicle routing problem by a genetic algorithm. The developed algorithm is described as well as heuristic improvements including the application example with a real size distribution network. Some representative results of the optimization procedure are presented and discussed in view of optimization parameters, both of the genetic algorithm and technical constraints. Network data needed for the optimisation procedure are extracted from a geographic information system
Keywords :
distribution networks; genetic algorithms; geographic information systems; power system planning; adapted multiple capacited vehicle routing problem; distribution network planning; genetic algorithm; geographic information system; heuristic improvements; link configuration; optimal structuring; technical constraints; Algorithm design and analysis; Cables; Constraint optimization; Costs; Genetic algorithms; Intelligent networks; Process design; Routing; Substations; Voltage;
Conference_Titel :
Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
Conference_Location :
Bari
Print_ISBN :
0-7803-3109-5
DOI :
10.1109/MELCON.1996.551260