Digitalization and Advanced Control Techniques of Integrated Photovoltaic Systems

Dear Colleagues,

The rapid increase in photovoltaic (PV) installation at small and large scales can pose significant technical issues related to the voltage levels and capacity of the network assets in distribution networks. Most of the equipment in energy systems is still hardwired and analogue. Therefore, limited data acquisition, and many related control actions, must be performed manually. This presents several challenges when it comes to ensuring similar system quality and efficient operations. Therefore, new solutions and digitalization of energy systems, especially PV systems, must be developed to support decision making and improve generation capacity and efficiency. Furthermore, accurate predictions and control of PV systems pave the way for digitalization of these systems. Here, machine-learning and artificial intelligence (AI)-based techniques are the main drivers of the rapid advancements in digitalization and control of PV systems.

This Special Issue aims to apply intelligence to the PV systems to create a digitalized, automated, integrated, and optimized PV systems, including (but not limited to) the following topics:

• State-of-the-art reviews on integrated PV systems and applications.
• PV systems modeling and characterization.
• On-line and off-line PV system performance forecasting methods.
• PV system sizing and optimization.
• Energy management of PV systems.
• AI, machine-learning and deep-learning applications for PV systems.
• Tools for modeling, optimizing, and controlling PV systems.
• Cybersecurity of Digital PV Systems.
• Power converter topologies for PV systems.
• Smart inverter technical standards.
• Intelligent and adaptive control methods of power converters for PV systems.
• Voltage and reactive power support using PV systems.
• Grid-following inverter controls.
• Grid monitoring and synchronization techniques for 1ph/3ph PV systems
• Fault ride-through enhancement for grid-tied PV systems
• Integration of storage batteries with PV systems.
• Integration of electrical vehicles with PV systems.

Dr. Ibrahim Anwar Ibrahim
Dr. Nabil Mohammed
Prof. Dr. Jahangir Hossain
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.