Reliability driven reconfiguration of rural power distribution systems

Author

Chakrabarti, Saikat ; Ledwich, Gerard ; Ghosh, Arindam

Author_Institution

Sch. of Eng. Syst., Queensland Univ. of Technol., Brisbane, QLD, Australia

fYear

2009

fDate

27-29 Dec. 2009

Firstpage

1

Lastpage

6

Abstract

This paper presents a reliability-based reconfiguration methodology for power distribution systems. Probabilistic reliability models of the system components are considered and Monte Carlo method is used while evaluating the reliability of the distribution system. The reconfiguration is aimed at maximizing the reliability of the power supplied to the customers. A binary particle swarm optimization (BPSO) algorithm is used as a tool to determine the optimal configuration of the sectionalizing and tie switches in the system. The proposed methodology is applied on a modified IEEE 13-bus distribution system.

Keywords

IEEE standards; Monte Carlo methods; particle swarm optimisation; power distribution; power system reliability; probability; Monte Carlo method; binary particle swarm optimization algorithm; modified IEEE 13-bus distribution system; optimal configuration; probabilistic reliability models; reliability driven reconfiguration; reliability-based reconfiguration methodology; rural power distribution systems; system components; Optimization methods; Particle swarm optimization; Power distribution; Power generation; Power system modeling; Power system planning; Power system protection; Power system reliability; Substations; Switches; Distribution system; Monte Carlo; particle swarm optimization; reconfiguration; reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Systems, 2009. ICPS '09. International Conference on

Conference_Location

Kharagpur

Print_ISBN

978-1-4244-4330-7

Electronic_ISBN

978-1-4244-4331-4

Type

conf

DOI

10.1109/ICPWS.2009.5442758

Filename

5442758