Comparison of Intelligent Algorithms for Economically Optimum Harmonic Passive Filter Design in Radial Distribution Systems

M. Mohammadi; A. Samimi

This paper presents the optimal planning of harmonic passive filters in distribution system using three intelligent methods including genetic algorithm (GA), particle swarm optimization (PSO), artificial bee colony (ABC) and as a new research is compared with biogeography based optimization (BBO) algorithm. In this work, the considered objective function is to minimize the value of investment cost of filters and total harmonic distortion of three-phase current. It is shown that through an economical placement and sizing of LC passive filters the total voltage harmonic distortion and cost could be minimized simultaneously. BBO is a novel evolutionary algorithm that is based on the mathematics of biogeography. In the BBO model, problem solutions are represented as islands, and the sharing of features between solutions is represented as immigration and emigration between the islands. The simulation results show that the proposed method is efficient for solving the presented problem.

Select Volume / Issues:

• Volume 6 Issue 1, Jan. 2015

Year:

2015

Type of Publication:

Article

Keywords:

Nonlinear Load; Passive Filter; Harmonic Distortion; Distribution Feeders; Biogeography-Based Optimization

Journal:

IJECCE

Volume:

6

Number:

1

Pages:

98-104

Month:

Jan.-Feb.

ISSN:

2249-071X