Optimal Distributed Generation Planning Using PSO Algorithm for Economic Benefits of DG Owners and Distribution Companies

Authors

DOI:

https://doi.org/10.20508/9e7wg123

Keywords:

Distribution networks, distributed generation, particle swarm optimization, economic benefits, generation planning

Abstract

This paper proposes a method to solve the optimal placement problem of DGs in distribution networks by using PSO algorithm. The formulation of bi-objective problem has been done for getting maximum benefit for DGs and distribution systems. The objective function takes into account DG owners' revenues from selling electricity and renewable energy incentives. On the other hand, distribution companies experience decreased power losses, better voltage profile, higher reliability, and environmental emissions reduction. In the evaluation of the proposed approach, simulation tests were performed in MATLAB on the IEEE 34-bus system to find the best placement and sizing of DGs. Simulation results indicate remarkable reductions in power losses, improved voltage stability, and huge economic benefits for both parties within operational limits. Thus, it was found out that the proposed PSO algorithm can be used as an efficient way of DG planning.

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Author Biographies

  • Mehrdad Ahmadi Kamarposhti, Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran

    Dr. Mehrdad Ahmadi Kamarposhti is an Assistant Professor in the Department of Electrical Engineering at the Islamic Azad University, Jouybar Branch, Iran. He received his B.Sc. in Electrical Power Engineering from Mazandaran University in 2006, followed by an M.Sc. in the same field from the South Tehran Branch of Islamic Azad University in 2008. He earned his Ph.D. in Electrical Power Engineering from the Science and Research Branch of Islamic Azad University, Tehran, in 2015.

    Since 2009, Dr. Kamarposhti has been a faculty member at the Islamic Azad University, Jouybar Branch, where he has made significant contributions to both research and education in the field of electrical engineering. His research interests include advanced topics such as Flexible AC Transmission Systems (FACTS), distributed generation allocation, renewable energy systems, optimization algorithms, microgrids, and reactive power compensation.

  • Pegah Nouri, Department of Electrical Engineering, Jo.C., Islamic Azad University, Jouybar, Iran
    • Pegah Nouri is a Lecturer in the Department of Electrical Engineering, Jouybar Branch, Islamic Azad University. She holds a Bachelor's degree in Electrical Engineering from Lahijan Branch, Islamic Azad University, and a Master's degree in Electrical Engineering from Tehran South Branch, Islamic Azad University. Currently, she is pursuing her Ph.D. in Electrical Engineering at Sari Branch, Islamic Azad University.

  • Morteza Jalilirad, Department of Electronics, Telecommunications and Informatics (DETI), University of Aveiro, Portugal
    • Morteza Jalilirad is a Ph.D. student in the Department of Electronics, Telecommunications, and Informatics (DETI) at the University of Aveiro, Portugal. His research focuses on innovative areas related to electronics, telecommunications, or informatics. By publishing articles in reputable international journals and conferences, he has contributed to the advancement of knowledge in his field of expertise. His research works have been cited by other researchers, demonstrating the impact of his studies in the academic community. Morteza Jalilirad, in collaboration with distinguished professors and researchers at the University of Aveiro, is developing advanced solutions to technological challenges in the fields of electronics and telecommunications.

     

Additional Files

Published

14.09.2026

Data Availability Statement

The data supporting the findings of this study are available from the corresponding author upon reasonable request.

Issue

Section

RESEARCH ARTICLES

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