Title :
An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems
Author :
Nekooei, K. ; Farsangi, Malihe Maghfoori ; Nezamabadi-pour, Hossein ; Lee, Khuan Y.
Author_Institution :
Kerman Univ., Kerman, Iran
Abstract :
In this paper a new approach using Harmony Search (HS) algorithm is presented for placing Distributed Generators (DGs) in radial distribution systems. The approach is making use of a multiple objective planning framework, named an Improved Multi-objective HS (IMOHS), to evaluate the impact of DG placement and sizing for an optimal development of the distribution system. In this study, the optimum sizes and locations of DG units are found by considering the power losses and voltage profile as objective functions. The feasibility of the proposed technique is demonstrated in two distribution networks, where the qualitative comparisons are made against a well-known technique, known as Non-dominated Sorting Genetic Algorithm II (NSGA-II). Furthermore, the results obtained are compared with those available in the literature.
Keywords :
distributed power generation; genetic algorithms; power distribution planning; DG optimal placement; DG unit location; IMOHS algorithm; NSGA-II; distributed generators; distribution networks; distribution system optimal development; improved multiobjective HS algorithm; improved multiobjective harmony search algorithm; multiple-objective planning framework; nondominated sorting genetic algorithm II; optimum sizes; power loss; radial distribution systems; voltage profile; Linear programming; Measurement; Optimization; Search problems; Sociology; Statistics; Vectors; Distributed generation; harmony search algorithm; multi-objective optimization;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2012.2237420