Enhancing Optimal Power Flow Using Grey Wolf Intelligence-Integrated Particle Swarm Optimization

Gürcan Lokman; Serkan Iscan

doi:10.31127/tuje.1838822

Enhancing Optimal Power Flow Using Grey Wolf Intelligence-Integrated Particle Swarm Optimization

Abstract

The accurate and efficient resolution of the power flow problem is crucial for planning, operating, and controlling power systems. While conventional iterative methods are commonly used, they often experience incomplete or slow convergence. This has prompted an increasing interest in meta-heuristic optimization techniques. This study presents a novel Hybrid Particle Swarm Optimization (HPSO) algorithm that combines the exploration-exploitation balance of Particle Swarm Optimization (PSO) with the adaptive hunting strategy of the Grey Wolf Optimization (GWO) algorithm. By incorporating the sensitive parameter control and convergence reliability of GWO into PSO, the proposed HPSO enhances both search diversity and solution accuracy. The algorithm is validated using the IEEE 30-bus test system (IEEE 30-BTS) in MATLAB R2020b. Its performance is evaluated based on power losses, voltage deviations (VD), and computation time. Furthermore, a multi-objective Pareto-optimal analysis shows that HPSO consistently achieves better trade-offs between minimizing power losses and maintaining voltage stability compared to traditional PSO and GWO methods. The simulation results illustrate the robustness and efficiency of the proposed HPSO, highlighting its potential as a valuable tool for optimal power flow (OPF) applications in modern power systems.

Keywords

Supporting Institution

This research did not receive any specific grant or support from funding agencies in the public, commercial, or not-for-profit sectors.

Ethical Statement

This article does not contain any studies with human participants or animals performed by any of the authors; therefore, ethical approval was not required.

Thanks

The authors have no additional acknowledgements to declare.

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Details

Primary Language

English

Subjects

Electrical Engineering (Other)

Journal Section

Research Article

Authors

Gürcan Lokman ^*
0000-0003-2751-7627
Türkiye

Serkan Iscan
0000-0001-5948-0449
Türkiye

Publication Date

May 1, 2026

Submission Date

December 9, 2025

Acceptance Date

April 22, 2026

Published in Issue

Year 2026 Volume: 10 Number: 2

DOI

https://doi.org/10.31127/tuje.1838822

IZ

https://izlik.org/JA58WU66MC

Cite

RIS / Bibtex

APA

Lokman, G., & Iscan, S. (2026). Enhancing Optimal Power Flow Using Grey Wolf Intelligence-Integrated Particle Swarm Optimization. Turkish Journal of Engineering, 10(2), 661-675. https://doi.org/10.31127/tuje.1838822

AMA

1.Lokman G, Iscan S. Enhancing Optimal Power Flow Using Grey Wolf Intelligence-Integrated Particle Swarm Optimization. TUJE. 2026;10(2):661-675. doi:10.31127/tuje.1838822

Chicago

Lokman, Gürcan, and Serkan Iscan. 2026. “Enhancing Optimal Power Flow Using Grey Wolf Intelligence-Integrated Particle Swarm Optimization”. Turkish Journal of Engineering 10 (2): 661-75. https://doi.org/10.31127/tuje.1838822.

EndNote

Lokman G, Iscan S (May 1, 2026) Enhancing Optimal Power Flow Using Grey Wolf Intelligence-Integrated Particle Swarm Optimization. Turkish Journal of Engineering 10 2 661–675.

IEEE

[1]G. Lokman and S. Iscan, “Enhancing Optimal Power Flow Using Grey Wolf Intelligence-Integrated Particle Swarm Optimization”, TUJE, vol. 10, no. 2, pp. 661–675, May 2026, doi: 10.31127/tuje.1838822.

ISNAD

Lokman, Gürcan - Iscan, Serkan. “Enhancing Optimal Power Flow Using Grey Wolf Intelligence-Integrated Particle Swarm Optimization”. Turkish Journal of Engineering 10/2 (May 1, 2026): 661-675. https://doi.org/10.31127/tuje.1838822.

JAMA

1.Lokman G, Iscan S. Enhancing Optimal Power Flow Using Grey Wolf Intelligence-Integrated Particle Swarm Optimization. TUJE. 2026;10:661–675.

MLA

Lokman, Gürcan, and Serkan Iscan. “Enhancing Optimal Power Flow Using Grey Wolf Intelligence-Integrated Particle Swarm Optimization”. Turkish Journal of Engineering, vol. 10, no. 2, May 2026, pp. 661-75, doi:10.31127/tuje.1838822.

Vancouver

1.Gürcan Lokman, Serkan Iscan. Enhancing Optimal Power Flow Using Grey Wolf Intelligence-Integrated Particle Swarm Optimization. TUJE. 2026 May 1;10(2):661-75. doi:10.31127/tuje.1838822