Power, Control, and Data Processing Systems

Power, Control, and Data Processing Systems

Management of Distributed Energy Resources for Reducing Environmental Pollution and Enhancing Economic Efficiency

Document Type : Original Research

Authors
Mojtaba Pirmohammad Talatape 1
Reza Ghanizadeh 2
Sajad Bagheri 3
Mohammad reza Miveh 4
1 Department of Electrical Engineering, Ar.C., Islamic Azad University, Arak, Iran
2 Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
3 Department of Electrical Engineering, Ar.C., Islamic Azad University, Arak 3836119131, Iran
4 Department of Electrical Engineering, Tafresh University, Tafresh, Iran
10.30511/pcdp.2025.2063381.1031
Abstract
Today, energy management in a microgrid requires development to improve the management of produced and consumed energy while maintaining network balance on both supply and demand sides. This paper proposes an optimal method to reduce microgrid costs, incorporating a diesel generator, wind unit, solar panel, combined heat and power (CHP) unit, and battery storage. The proposed method is solved optimally using the Particle Swarm Optimization (PSO) algorithm. The main objectives of this research include reducing the costs of distributed generation resources, minimizing environmental pollution in the microgrid system, and enhancing network efficiency. To demonstrate the positive impact of the proposed method, various tables and charts related to network requirements, solar radiation angle, and wind speed are utilized. By implementing the proposed method in hybrid microgrids using MATLAB software, the effectiveness of the optimization approach is shown, achieving a 39% reduction in environmental pollution and a 23% reduction in fuel consumption in the optimal state.
Keywords
Renewable Energy
Environmental and Economic Analysis
Sustainable Energy Management
Microgrid
CO2 Emissions

Subjects

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Power, Control, and Data Processing Systems
Volume 2, Issue 4
Autumn 2025
Pages 10-17

  • Receive Date 11 June 2025
  • Revise Date 28 August 2025
  • Accept Date 30 August 2025
  • First Publish Date 30 August 2025
  • Publish Date 01 December 2025