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Article

Multi-Objective Optimization of Variable-Pitch Domino Wireless Power Transfer Coils for 66 kV High-Voltage Insulator Strings

1
School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China
2
Sustainable Energy and Environment Thrust, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511453, China
3
Department of Electrical Engineering, Qingdao University, Qingdao 266000, China
4
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China
5
Department of Electrical Engineering, Federal University of Campina Grande, Campina Grande, 58429-900, Paraiba, Brazil
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Appl. Sci. 2026, 16(11), 5241; https://doi.org/10.3390/app16115241 (registering DOI)
Submission received: 1 April 2026 / Revised: 15 May 2026 / Accepted: 21 May 2026 / Published: 23 May 2026

Abstract

Wireless power transfer (WPT), characterized by its excellent insulation properties and ease of maintenance, has recently emerged as a promising solution to the power supply challenges faced by online monitoring equipment on high-voltage transmission towers in complex environments. Existing research primarily relies on regular, closely wound solenoids to power these monitoring devices; however, this approach often makes it difficult to optimize the magnetic field distribution to maximize mutual inductance, thereby limiting transmission efficiency and power and hindering lightweight design. To address these issues, this paper proposes an optimized design scheme for variable-pitch (non-uniform) domino WPT coils based on insulator string structures. First, a parameter calculation model utilizing segmented current analysis is constructed to accurately determine the inductance of non-uniform solenoids, with simulations confirming an error rate below 5%. Subsequently, by integrating domino multi-coil theory into an elitist non-dominated sorting genetic algorithm (NSGA-II), dual-objective optimization is performed. Targeting maximum transmission efficiency and output power under spatial and insulation constraints, a set of Pareto optimal solutions is derived. Ultimately, a 113.7 W insulator domino coil WPT system prototype is constructed to validate the design’s stability. The proposed system achieves a maximum efficiency of 85.73%, with a single-stage load delivering up to 97.48 W.
Keywords: wireless power transfer (WPT); non-uniform solenoid; NSGA-II wireless power transfer (WPT); non-uniform solenoid; NSGA-II

Share and Cite

MDPI and ACS Style

Xu, Y.; Zhu, D.; Chen, J.; Luan, S.; Zheng, S.; Han, W.; Wang, C.; Ma, H.; Vitorino, M.A.; Rong, C. Multi-Objective Optimization of Variable-Pitch Domino Wireless Power Transfer Coils for 66 kV High-Voltage Insulator Strings. Appl. Sci. 2026, 16, 5241. https://doi.org/10.3390/app16115241

AMA Style

Xu Y, Zhu D, Chen J, Luan S, Zheng S, Han W, Wang C, Ma H, Vitorino MA, Rong C. Multi-Objective Optimization of Variable-Pitch Domino Wireless Power Transfer Coils for 66 kV High-Voltage Insulator Strings. Applied Sciences. 2026; 16(11):5241. https://doi.org/10.3390/app16115241

Chicago/Turabian Style

Xu, Yunpeng, Dongdong Zhu, Junlong Chen, Siqi Luan, Shidonghan Zheng, Wei Han, Chunfang Wang, Hongbo Ma, Montiê Alves Vitorino, and Cancan Rong. 2026. "Multi-Objective Optimization of Variable-Pitch Domino Wireless Power Transfer Coils for 66 kV High-Voltage Insulator Strings" Applied Sciences 16, no. 11: 5241. https://doi.org/10.3390/app16115241

APA Style

Xu, Y., Zhu, D., Chen, J., Luan, S., Zheng, S., Han, W., Wang, C., Ma, H., Vitorino, M. A., & Rong, C. (2026). Multi-Objective Optimization of Variable-Pitch Domino Wireless Power Transfer Coils for 66 kV High-Voltage Insulator Strings. Applied Sciences, 16(11), 5241. https://doi.org/10.3390/app16115241

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