Title :
The Edge-set Encoding in Evolutionary Algorithms for Power Distribution Network Planning Problem Part II: Multi-objective Optimization Planning
Author :
Rivas-Dávalos, Francisco ; Irving, Malcolm R.
Author_Institution :
Inst. Tecnologico de Morelia, Michoacan
Abstract :
For pt.1 see ibid., p.Z000240-5 (2006). In this paper, the edge-set encoding technique is tested on multi-objective power distribution network planning problems. The edge-set encoding technique and its genetic operators are described. A multi-objective evolutionary algorithm was developed, based on the strength Pareto evolutionary algorithm 2, in order to test this encoding technique on several case studies with a real power distribution system with two objective functions: economical cost and energy non-supplied. From the results, it can be said that the edge-set encoding technique is suitable to resolve the multi-objective optimization problem of power distribution system expansion planning
Keywords :
Pareto optimisation; genetic algorithms; power distribution planning; set theory; economical cost; edge-set encoding technique; genetic operator; multiobjective optimization; power distribution network planning problem; strength Pareto evolutionary algorithm; Cost function; Encoding; Evolutionary computation; Genetics; Power distribution; Power generation economics; Power system economics; Power system planning; Power systems; System testing;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2006
Conference_Location :
Cuernavaca
Print_ISBN :
0-7695-2569-5
DOI :
10.1109/CERMA.2006.122
