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

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 capabi...

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Bibliographic Details
Published in:Sustainability 2024-04, Vol.16 (8), p.3252
Main Authors: El Abbadi, Reda, Aatabe, Mohamed, Bouzid, Allal El Moubarek
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
Communication
Control algorithms
Controllers
Electric power production
Electricity
Fuzzy sets
Photovoltaic cells
Power
Sensors
Solar energy
Solar energy industry
Telecommunication systems
Wireless networks
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Summary: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.
ISSN:2071-1050
2071-1050
DOI:10.3390/su16083252