Reliability improvement of distribution system by optimal placement of DGs using PSO and neural network

Author

Reddy, S. Chandrashekhar ; Prasad, P.V.N. ; Laxmi, A. Jaya

Author_Institution

Dept. of EEE, CJITS, Warangal, India

fYear

2012

fDate

21-22 March 2012

Firstpage

156

Lastpage

162

Abstract

The Distributed Generators (DGs) are connected in distribution system to reduce the power losses and to improve the reliability of the distribution system. The most important process to decrease the total power loss and to improve the reliability of the system is to identify the proper placement of DG units and also to find the amount of power to be generated by them. A hybrid technique is proposed which includes Particle Swarm Optimization (PSO) and Neural Network. By fixing DGs in suitable optimal locations and by generating power based on the load conditions, the total power loss in the system can be reduced and the system reliability can be improved. The proposed method is tested for different load conditions on IEEE 30 bus system, by connecting one DG, two DGs, three DGs and four DGs in the system. The results obtained show the improved voltage profiles and reliability indices like EENS and ECOST.

Keywords

distributed power generation; load flow; neural nets; particle swarm optimisation; power distribution reliability; power engineering computing; power system interconnection; PSO; distributed generator; distribution system reliability; hybrid technique; load condition; neural network; optimal DG placement; particle swarm optimization; power loss; voltage profile; Reliability; DG; EENS and ECOST; Neural network (NN); PSO;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on

Conference_Location

Kumaracoil

Print_ISBN

978-1-4673-0211-1

Type

conf

DOI

10.1109/ICCEET.2012.6203836

Filename

6203836