An optimal load shedding approach for distribution networks with DGs considering capacity deficiency modelling of bulked power supply

A. R. Malekpour, A. R. Seifi, M. R. Hesamzadeh, N. Hosseinzadeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electrical distribution networks with and without dispersed generators (DG). Also, the proposed method has the ability for considering constant and variable capacity deficiency caused by unscheduled outages in the bulked generation and transmission system of bulked power supply. The genetic algorithm (GA) is employed to search for the optimal load shedding strategy in distribution networks considering DGs in two cases of constant and variable modelling of bulked power supply of distribution networks. Electrical power distribution systems have a radial network and unidirectional power flows. With the advent of dispersed generations, the electrical distribution system has a locally looped network and bidirectional power flows. Therefore, installed DG in the electrical distribution systems can cause operational problems and impact on existing operational schemes. Introduction of DGs in electrical distribution systems has introduced many new issues in operational and planning level. Load shedding as one of operational issue has no exempt. The objective is to minimize the sum of curtailed load and also system losses within the frame-work of system operational and security constraints. The proposed method is tested on a radial distribution system with 33 load points for more practical applications.

Original languageEnglish
Title of host publication2008 Australasian Universities Power Engineering Conference, AUPEC 2008
Publication statusPublished - 2008
Event2008 Australasian Universities Power Engineering Conference, AUPEC 2008 - Sydney, NSW, Australia
Duration: Dec 14 2008Dec 17 2008

Other

Other2008 Australasian Universities Power Engineering Conference, AUPEC 2008
CountryAustralia
CitySydney, NSW
Period12/14/0812/17/08

Fingerprint

Electric power distribution
Genetic algorithms
Outages
Planning

Keywords

  • Capacity deficiency modelling
  • DG
  • Load shedding
  • Optimization

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Malekpour, A. R., Seifi, A. R., Hesamzadeh, M. R., & Hosseinzadeh, N. (2008). An optimal load shedding approach for distribution networks with DGs considering capacity deficiency modelling of bulked power supply. In 2008 Australasian Universities Power Engineering Conference, AUPEC 2008 [4813100]

An optimal load shedding approach for distribution networks with DGs considering capacity deficiency modelling of bulked power supply. / Malekpour, A. R.; Seifi, A. R.; Hesamzadeh, M. R.; Hosseinzadeh, N.

2008 Australasian Universities Power Engineering Conference, AUPEC 2008. 2008. 4813100.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Malekpour, AR, Seifi, AR, Hesamzadeh, MR & Hosseinzadeh, N 2008, An optimal load shedding approach for distribution networks with DGs considering capacity deficiency modelling of bulked power supply. in 2008 Australasian Universities Power Engineering Conference, AUPEC 2008., 4813100, 2008 Australasian Universities Power Engineering Conference, AUPEC 2008, Sydney, NSW, Australia, 12/14/08.
Malekpour AR, Seifi AR, Hesamzadeh MR, Hosseinzadeh N. An optimal load shedding approach for distribution networks with DGs considering capacity deficiency modelling of bulked power supply. In 2008 Australasian Universities Power Engineering Conference, AUPEC 2008. 2008. 4813100
Malekpour, A. R. ; Seifi, A. R. ; Hesamzadeh, M. R. ; Hosseinzadeh, N. / An optimal load shedding approach for distribution networks with DGs considering capacity deficiency modelling of bulked power supply. 2008 Australasian Universities Power Engineering Conference, AUPEC 2008. 2008.
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