A Novel Evolutionary-Swarm Hybrid Algorithm for Optimizing Power Transfer Efficiency in Wireless Power Transfer Systems

Authors

DOI:

https://doi.org/10.26740/vubeta.v3i1.44795

Keywords:

Wireless Power Transfer, Power Transfer Efficiency , Evolutionary Algorithms , Optimization , Hybrid Metaheuristic

Abstract

Achieving high stable Power Transfer Efficiency (PTE) in Wireless Power Transfer (WPT) systems remains challenging due to the nonlinear, multimodal nature of the optimization space. Conventional algorithms such as Genetic Algorithms (GA), Differential Evolution (DE), and Simulated Annealing (SA) often face premature convergence, sensitivity to parameter settings, and inconsistent performance across runs. To overcome these issues, this study introduces the Evolutionary-Swarm Hybrid Algorithm (ESHA), which integrates DE for directional exploration, GA crossover for population diversity, SA for adaptive convergence, and Lévy Flights for stochastic global search. ESHA was implemented on a WPT system with a fixed 20 cm transmission distance and compared with GA, DE, and SA using three performance indicators: PTE, convergence speed, and computational efficiency. Results show that ESHA achieved a maximum PTE of 97.18%, surpassing GA (96.81%), DE (96.65%), and SA (96.19%), while maintaining zero variance across independent runs. It converged in an average of 31.2 iterations, slightly faster than GA (33.15) and SA (32.1), and comparable to DE (31.3). Execution time was 0.4738 s, close to GA (0.4654 s) and only marginally higher than DE (0.4262 s) and SA (0.4329 s). Statistical validation confirmed significant improvements in PTE (p < 0.05).

Author Biographies

David Aku, Nigerian Defence Academy, Kaduna

David Enemona Aku is a Lecturer in the Department of Electrical & Electronic Engineering at the Nigerian Defence Academy, Kaduna, Nigeria. He obtained his B.Eng in Electrical & Computer Engineering from the Federal University of Technology, Minna, Nigeria, in 2014, and his M.Eng in Electronics & Communications Engineering from the Nigerian Defence Academy, Kaduna, in 2019. He is currently pursuing a PhD in Electrical & Electronics Engineering, with a research focus on wireless power transfer technology. His research interests include wireless power transfer systems, renewable energy, and music technology. He can be contacted at email: davidakud1@gmail.com

Idris Araga, Nigerian Defence Academy, Kaduna

Idris I. Araga is an Associate Professor in the Department of Electrical/Electronic Engineering, Nigerian Defence Academy, Kaduna, Nigeria. He received a B.Eng in Electrical Engineering from the University of Ilorin, Nigeria, in 1990. He received the M.Eng from Bayero University Kano, in 1997 and the Ph.D. in Electrical Power Systems from the Nigerian Defence Academy in 2015. His main research is in power systems, electrical machines, flexible AC transmission systems, and renewable energy. He can be contacted at email: araga9393@gmail.com

 

Isah Danjuma, Nigerian Defence Academy, Kaduna

Isah Musa Danjuma is a Senior Lecturer in the Department of Electrical/Electronic Engineering, Nigerian Defence Academy, Kaduna, Nigeria. He received the B.Eng. in Electrical Engineering from Bayero University, Kano, Nigeria, in 2001. He received the M.Tech in Electronic and Telecommunication Engineering from Obafemi Awolowo University, Ile-Ife, in 2007. He received the Ph.D. in Electrical/Electronic Engineering from the University of Bradford, United Kingdom, in 2015. His main research interests are in antenna design, ultra-wideband antennas, UWB radar, and electromagnetic modeling. He can be contacted at email: imdanjuma@nda.edu.ng

Abel Airoboman, Nigerian Defence Academy, Nigeria

Abel E. Airoboman is a Senior Lecturer in the Department of Electrical/Electronic Engineering, Nigerian Defence Academy, Kaduna, Nigeria. He received the B.Eng from Ambrose Alli University, Ekpoma, Nigeria, in Electrical/Electronic Engineering in 2009. He received the M.Eng. and Ph.D. in Power and Machines from the University of Benin, Nigeria, in 2011 and 2019, respectively. His main research is in power systems reliability, smart distribution systems, and power system stability. He can be contacted at email: airobomanabel@nda.edu.ng

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2026-01-26

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D. Aku, I. Araga, I. Danjuma, and A. Airoboman, “A Novel Evolutionary-Swarm Hybrid Algorithm for Optimizing Power Transfer Efficiency in Wireless Power Transfer Systems”, Vokasi Unesa Bull. Eng. Technol. Appl. Sci., vol. 3, no. 1, pp. 115–128, Jan. 2026.

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