Journal of Green Energy Research and Innovation
Quarterly

Optimizing Distributed Energy Resources for Sustainable Solutions: A Multi-Objective Approach Based on Harmony Search Algorithm

Document Type : Research article

Authors

Abdollah Rastgou 1
Saman Hosseini-Hemati 1
Ashkan Mohammadi 2

1 Department of Electrical Engineering, Ker.C., Islamic Azad University, Kermanshah, Iran

2 Department of Electrical Engineering, IsG.C., Islamic Azad University, Eslamabad-E-Gharb, Kermanshah, Iran

10.61186/jgeri.2025.2057019.1048
Abstract
This study presents a multi-objective harmony search algorithm aimed at minimizing monetary costs and pollutant emissions while considering uncertainties in electrical load and electricity market prices. To address these uncertainties, a Monte Carlo simulation (MCS) is employed. The optimization problem incorporates six diverse types of DER, including wind turbines, photovoltaics, fuel cells, micro-turbines, gas turbines, and diesel generators. Non-dominated sorting is utilized within the multi-objective harmony search algorithm to identify Pareto-optimal solutions. Furthermore, a fuzzy decision-making approach is implemented to select the most viable solution among the optimal alternatives. The results indicate that the integration of renewable energy sources significantly contributes to reducing losses and enhancing overall system efficiency.

Keywords

Harmony search algorithm
optimization in power system
distributed energy resources
Monte Carlo simulation
Journal of Green Energy Research and Innovation
Volume 3, Issue 1
Winter 2026

  • Receive Date 02 April 2025
  • Revise Date 15 April 2025
  • Accept Date 20 April 2025
  • Publish Date 01 March 2026

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