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A novel approach for optimal DG allocation in distribution network for minimizing voltage sag

  • Hashemian, Pejman (Department of Electrical Engineering, Amirkabir University of Technology) ;
  • Nematollahi, Amin Foroughi (Department of Electrical Engineering, Amirkabir University of Technology) ;
  • Vahidi, Behrooz (Department of Electrical Engineering, Amirkabir University of Technology)
  • Received : 2018.11.04
  • Accepted : 2019.04.30
  • Published : 2019.03.25

Abstract

The cost incurred by voltage sag effect in power networks has always been of important concern for discussions. Due to the environmental constraints, fossil fuel shortage crisis and low efficiency of conventional power plants, decentralized generation and renewable based DG have become trends in recent decades; because DGs can reduce the voltage sag effect in distribution networks noticeably; therefore, optimum allocation of DGs in order to maximize their effectiveness is highly important in order to maximize their effectiveness. In this paper, a new method is proposed for calculating the cost incurred by voltage sag effect in power networks. Thus, a new objective function is provided that comprehends technical standards as minimization of the cost incurred by voltage sag effect, active power losses and economic criterion as the installation and maintenance costs of DGs. Considering operational constraints of the system, the optimum allocation of DGs is a constrained optimization problem in which Lightning Attachment procedure optimization (LAPO) is used to resolve it and is the optimum number, size and location of DGs are determined in IEEE 33 bus test system and IEEE 34 bus test system. The results show that optimum allocation of DGs not only reduces the cost incurred by voltage sag effect, but also improves the other characteristics of the system.

Keywords

distributed generation (DG);voltage sag;lightning attachment procedure optimization (LAPO);expected sag frequency (ESF);exposure length

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