A power loss minimization strategy based on optimal placement and sizing of distributed energy resources

Sohrab Mirsaeidi, Shangru Li, Subash Devkota, Meng Li, Jinghan He, Dimitrios Tzelepis, Dalila Mat Said

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Due to the enhanced price of electricity, the gradual depletion of fossil fuels,and the global warming concerns, power loss minimization through deploy-ment of distributed generators (DGs) has attracted significant attention inrecent decades. This paper proposes a genetic algorithm (GA) based strategyfor minimization of active and reactive power losses through optimal locationand size of DGs. It also quantifies and tallies the total network power losses forthe cases with random as well as optimal allocation of DGs. To validate theaccuracy of the obtained results from GA, another nature-inspired optimiza-tion algorithm, cuckoo search, is also deployed. The simulation results onIEEE 30 and 118 bus systems indicate that the proposed strategy not only caneffectively reduce the total network active and reactive power losses but alsolead to the improvement of network voltage profile.
Original languageEnglish (US)
JournalInternational Journal of Numerical Modelling: Electronic Networks, Devices and Fields
DOIs
StatePublished - Mar 7 2022
Externally publishedYes

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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