Multiobjective Optimization for DG Planning With Load Models

Author

Singh, D. ; Singh, D. ; Verma, K.S.

Author_Institution

Electr. Eng. Dept., Kamla Nehru Inst. of Technol., Sultanpur

Volume

24

Issue

1

fYear

2009

Firstpage

427

Lastpage

436

Abstract

This paper presents a multiobjective performance index-based size and location determination of distributed generation in distribution systems with different load models. Normally, a constant power (real and reactive) load model is assumed in most of the studies made in the literature. It is shown that load models can significantly affect the optimal location and sizing of distributed generation (DG) resources in distribution systems. The simulation technique based on genetic algorithms is studied. The studies have been carried out on 16-bus and 37-bus distribution systems.

Keywords

distributed power generation; genetic algorithms; power distribution planning; 16-bus distribution systems; 37-bus distribution systems; DG planning; constant power load models; distributed generation; distribution systems; genetic algorithms; location determination; multiobjective optimization; multiobjective performance index-based size; Costs; Distributed control; Genetic algorithms; Load modeling; Power system modeling; Power system planning; Power system reliability; Reactive power; Switches; Voltage; Distributed generation (DG); distribution systems; genetic algorithms (GA); load models;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2008.2009483

Filename

4762165