Wireless Diagnosis and Control of DC–DC Converter for Off-Grid Photovoltaic Systems

Reda El Abbadi, Mohamed Aatabe and Allal El Moubarek Bouzid ()
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Reda El Abbadi: LAMISNE, Polydisciplinary Faculty of Taroudant, Ibn Zohr University, Agadir P.O. Box 8106, Morocco
Mohamed Aatabe: LISTI, National School of Applied Sciences, Ibn Zohr University, Agadir P.O. Box 1136, Morocco
Allal El Moubarek Bouzid: Research and Higher Education Department, ICAM School of Engineering, Toulouse Campus, 75 av. de Grande Bretagne, 31076 Toulouse, France

Sustainability, 2024, vol. 16, issue 8, 1-20

Abstract: Integrating a photovoltaic (PV) microgrid system with wireless network control heralds a new era for renewable energy systems. This fusion capitalizes on the strengths of photovoltaic technology, leveraging solar energy for electricity generation while incorporating advanced networked control capabilities. Although employing network communication to facilitate information exchange among system elements offers benefits, it also introduces novel challenges which can hinder fault diagnosis, such as packet loss and communication delay. This paper focuses on a cloud-based fault detection approach for an effective boost converter within a photovoltaic system. Faults are diagnosed using a detection algorithm based on the Lyapunov function, ensuring power optimization. The effectiveness of our approach is demonstrated through simulations of a PV generator model utilizing real-time weather data collected in Brazil, illustrating its robustness through the acquired results.

Keywords: photovoltaic microgrid system; maximum power point tracking; networked control system; packet dropout; fault detection (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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