Electric power grids distribution generation system for optimal location and sizing-a case study investigation by various optimization algorithms

Ahmed Ali, Sanjeevikumar Padmanaban, Bhekisipho Twala, Tshilidzi Marwala

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

In this paper, the approach focused on the variables involved in assessing the quality of a distributed generation system are reviewed in detail, for its investigation and research contribution. The aim to minimize the electric power losses (unused power consumption) and optimize the voltage profile for the power system under investigation. To provide this assessment, several experiments have been made to the IEEE 34-bus test case and various actual test cases with the respect of multiple Distribution Generation DG units. The possibility and effectiveness of the proposed algorithm for optimal placement and sizing of DG in distribution systems have been verified. Finally, four algorithms were trailed: simulated annealing (SA), hybrid genetic algorithm (HGA), genetic algorithm (GA), and variable neighbourhood search. The HGA algorithm was found to produce the best solution at a cost of a longer processing time.

Original languageEnglish
Article number960
JournalEnergies
Volume10
Issue number7
DOIs
Publication statusPublished - 2017

Keywords

  • Genetic algorithm
  • Optimization
  • Power consumption
  • Power losses
  • Simulated annealing

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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