Title :
Application of the NPGA to the Design of Power Distribution Systems
Author :
Mendoza, Franklin ; García, Alexis ; Bemal-Agustín, José L.
Author_Institution :
Dept. of Electr. Eng., Univ. Nacional Exp. Politecnica
Abstract :
In this paper we present the application of an improved version of the niched Pareto genetic algorithm (NPGA), a multi-objective evolutionary algorithm (MOEA), to the multi-objective design of power distribution systems. This algorithm has been developed to obtain a set of feasible solutions by considering some technical constraints. The problem of design is formulated to select the optimum size and layout of substations and feeders. It can be expressed as a multi-objective optimization problem minimizing two objectives: cost and non-supplied energy (NSE). The results confirm the suitability of the NPGA algorithm to the power distribution systems design
Keywords :
Pareto optimisation; design engineering; distribution networks; genetic algorithms; NPGA; feeders; multiobjective evolutionary algorithm; multiobjective optimization problem; niched Pareto genetic algorithm; power distribution systems; substations; Algorithm design and analysis; Cost function; Design optimization; Evolutionary computation; Genetic algorithms; Load flow; Neutron spin echo; Noise measurement; Power distribution; Substations; Distribution Power System; Optimal Multi-Objective Design;
Conference_Titel :
Transmission & Distribution Conference and Exposition: Latin America, 2006. TDC '06. IEEE/PES
Conference_Location :
Caracas
Print_ISBN :
1-4244-0287-5
Electronic_ISBN :
1-4244-0288-3
DOI :
10.1109/TDCLA.2006.311450
