Optimization of distribution network reconfiguration by a novel RCA integrated with genetic algorithm

Amirhossein Amirhossein Jangdoost, Reza Keypour, Hessam Golmohammadi

Research output: Contribution to journalJournal articleResearchpeer-review

5 Citations (Scopus)

Abstract

This paper proposes a novel structure for distribution network reconfiguration (DNR) to improve reliability indices and decrease the operational cost of power systems. In order to increase the applicability of the problem in the smart grid, a distribution network involving plug-in hybrid electric vehicles (PHEV) and distributed wind generation (RDG) is addressed. The aim is to determine the optimized configuration of the distribution network considering different scenarios of PHEV’s charging/discharging and power realization of RDGs. To hedge against the nonlinearity of the problem, an improved genetic algorithm (IGA) is proposed. The suggested IGA decreases the time burden calculation of the problem, which is necessary for DNR problems. Moreover, a fast radial checking algorithm (RCA) is suggested to avoid tedious radial checking procedures. Numerical studies are implemented on IEEE 33-bus test system. The results show that the suggested approach optimizes the configuration of the distribution network when a renewable power shortage occurs or PHEVs’ operation is rescheduled.
Original languageEnglish
JournalEnergy Systems
Volume12
Issue number3
Pages (from-to)801-833
Number of pages33
ISSN1868-3967
DOIs
Publication statusPublished - Aug 2021

Keywords

  • Genetic algorithm
  • Plug-in hybrid electric vehicle
  • Reconfiguration
  • Wind power

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