Open Access

ARTICLE

Differential Evolution-Based Extraction of Impedance Parameters for Wide-Band Equivalent Circuits

Piotr Musznicki¹, Marek Turzyński¹, Lyu Guanghua², Ghulam E Mustafa Abro^3,*, Viola Gierszewska¹, Arsalan Muhammad Soomar¹, Syed Hadi Hussain Shah²

1 Department of Power Electronics and Electrical Machines, Gdańsk University of Technology, Gdańsk, Poland
2 PowerChina Huadong Engineering Corporation Limited, Hangzhou, China
3 Research Unit for Robophilosophy and Integrative Social Robotics (RISR), Aarhus University, Aarhus C, Denmark

* Corresponding Author: Ghulam E Mustafa Abro. Email:

Computers, Materials & Continua 2026, 89(1), 24 https://doi.org/10.32604/cmc.2026.082254

Received 12 March 2026; Accepted 03 July 2026; Issue published 13 August 2026

Abstract

This paper presents an accurate and efficient methodology for parameter extraction in complex impedance models using Differential Evolution (DE), an evolutionary optimization technique. The proposed approach targets equivalent RLC circuit topologies and aims to match measured impedance characteristics across a wide frequency spectrum. By formulating the extraction process as a global optimization problem, DE enables precise identification of component values, even for high-order models with multiple resonances. The method is implemented in Python using open-source libraries, facilitating reproducibility and integration into broader modeling workflows. Validation is performed on both analytically derived resonant circuits and physically representative systems, confirming the method’s reliability in identifying parameter sets that accurately reproduce experimental impedance behavior. The results highlight the method’s robustness, scalability, and suitability for automated impedance modeling in energy-related applications.

---

Keywords

---