Convergence analysis and tuning of a sliding-mode ripple-correlation MPPT

Costabeber, Alessando; Carraro, M.; Zigliotto, M.

Abstract

The development of fast Maximum Power Point Tracking (MPPT) algorithms for photovoltaic (PV) systems with high bandwidth and predictable response to irradiation transients is attractive for mobile applications and installations under fast changing weather conditions. This paper proposes the convergence analysis of a sliding-mode version of the MPPT based on ripple correlation control (RCC). The contribution of the paper is a dynamic model, useful to derive a set of design guidelines to tune the sliding-mode RCC-MPPT and achieve a desired dynamic performance under irradiation transients, without a dedicated commissioning phase. The research is based on sliding control theory and it includes both the chattering phenomena analysis and a discussion on the effects of reactive parasitic elements in the PV module. The proposed analysis and design have been validated by Matlab simulations first and then with experimental tests on a 35 W panel with a boost converter charging a 24 V battery. The results support the effectiveness of the proposed modelling procedure and design guidelines, showing good agreement between the model prediction and the experimental transient response.

Citation

Costabeber, A., Carraro, M., & Zigliotto, M. (2014). Convergence analysis and tuning of a sliding-mode ripple-correlation MPPT. IEEE Transactions on Energy Conversion, 30(2), https://doi.org/10.1109/TEC.2014.2371873

• Journal Article Type: Article
• Acceptance Date: Nov 9, 2014
• Publication Date: Dec 12, 2014
• Deposit Date: Apr 11, 2016
• Publicly Available Date: Apr 11, 2016
• Journal: IEEE Transactions on Energy Conversion
• Print ISSN: 0885-8969
• Electronic ISSN: 0885-8969
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 30
• Issue: 2
• DOI: https://doi.org/10.1109/TEC.2014.2371873
• Keywords: Photovoltaic, Efficiency, Sliding mode control, Modelling, MPPT
• Public URL: https://nottingham-repository.worktribe.com/output/740964
• Publisher URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6983569
• Additional Information: 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.