Article: Hybrid wind solar energy system with qZSI for optimal power point tracking Journal: International Journal of Power Electronics (IJPELEC) 2025 Vol.21 No.6 pp.560 - 576 Abstract: This paper introduces an optimisation method for wind-solar energy systems (WSESs) incorporating a quasi-Z-source inverter (qZSI) through a novel circle search algorithm (CSA). The CSA enhances energy output and reduces WSES costs by offering an effective optimisation mechanism that balances energy production and minimises CO<SUB align="right"><SMALL>2</SMALL></SUB> emissions. A refined pulse-width modulation (PWM) technique is implemented to reduce switching losses of the qZSI, while CSA generates the control signal for the voltage source inverter (VSI). The method is tested in MATLAB and compared with established techniques, including heap based optimisers (HBO), salp swarm algorithm (SSA), and the reinforced firefly algorithm (RFA). Results demonstrate that the CSA outperforms these approaches, achieving 97.3% accuracy, a computation time of 0.121 seconds, and an economic ROI of 1.22. These results underscore the CSA's superior balance of efficiency, and cost-effectiveness, confirming its effectiveness in optimising WSESs over conventional methods. Inderscience Publishers - linking academia, business and industry through research

Title: Hybrid wind solar energy system with qZSI for optimal power point tracking

Authors: Jabinbanu M. Nadaf; Chinthalacheruvu Venkata Krishna Reddy; N. Karthikeyan; Ralli Sangno

Addresses: Electrical and Electronics Engineering, Shri Channakeshava Govt. Polytechnic, Guddadachannapur, Bankapur, India ' Department of Electrical and Electronics Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India ' Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, India ' Electrical Engineering, NIT, Jote, Arunachal Pradesh, Papumpare, 791123, India

Abstract: This paper introduces an optimisation method for wind-solar energy systems (WSESs) incorporating a quasi-Z-source inverter (qZSI) through a novel circle search algorithm (CSA). The CSA enhances energy output and reduces WSES costs by offering an effective optimisation mechanism that balances energy production and minimises CO₂ emissions. A refined pulse-width modulation (PWM) technique is implemented to reduce switching losses of the qZSI, while CSA generates the control signal for the voltage source inverter (VSI). The method is tested in MATLAB and compared with established techniques, including heap based optimisers (HBO), salp swarm algorithm (SSA), and the reinforced firefly algorithm (RFA). Results demonstrate that the CSA outperforms these approaches, achieving 97.3% accuracy, a computation time of 0.121 seconds, and an economic ROI of 1.22. These results underscore the CSA's superior balance of efficiency, and cost-effectiveness, confirming its effectiveness in optimising WSESs over conventional methods.

Keywords: photovoltaic; PV; wind turbine; WT; maximum power point tracking; MPPT; energy storage system; ESS; distribution system; converter.

DOI: 10.1504/IJPELEC.2025.149601

International Journal of Power Electronics, 2025 Vol.21 No.6, pp.560 - 576

Received: 12 Sep 2024
Accepted: 05 Jan 2025
Published online: 07 Nov 2025 *

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Title: Hybrid wind solar energy system with qZSI for optimal power point tracking

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