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

fYear

2006

fDate

15-18 Aug. 2006

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/TDCLA.2006.311450

Filename

4104681