Digitalization and Advanced Control Techniques of Integrated Photovoltaic Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 2620

Special Issue Editors


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Guest Editor
School of Electrical and Data Engineering, University of Technology Sydney, Sydney 2007, Australia
Interests: photovoltaic (PV) systems modeling and optimization; renewable energy integration; power quality; microgrids; smart grids; artificial intelligence and machine learning applications for solar energy and PV systems

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Guest Editor
Faculty of Engineering, Monash University, Melbourne 3800, Australia
Interests: power electronics converters; renewable energy generation and integration in power systems; microgrids; energy storage and management systems; adaptive control

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Guest Editor
School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007 (PO Box 123), Australia
Interests: renewable energy integration and stabilization; voltage stability; micro grids and smart grids; robust control; electric vehicles; building energy management systems; battery energy storage systems and distributed generations
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Special Issue Information

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

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Keywords

  • PV system modeling
  • PV system forecasting
  • PV system monitoring
  • PV system controlling
  • energy management
  • digital PV Systems
  • cybersecurity
  • storage batteries
  • electrical vehicles
  • power converters and control
  • inverter standards
  • smart inverters
  • voltage support
  • reactive power

Published Papers (1 paper)

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Research

15 pages, 5107 KiB  
Article
New Modulation Technique in Smart Grid Interfaced Multilevel UPQC-PV Controlled via Fuzzy Logic Controller
by Hassan Kenjrawy, Carlo Makdisie, Issam Houssamo and Nabil Mohammed
Electronics 2022, 11(6), 919; https://doi.org/10.3390/electronics11060919 - 16 Mar 2022
Cited by 21 | Viewed by 2000
Abstract
The use of sensitive electronic devices has increased recently; hence, power quality has become an important factor in electrical power systems. The various disturbances occurring in the electrical network (harmonics, voltage swells, sags, etc.) may lead to technical-economic damage that negatively impacts the [...] Read more.
The use of sensitive electronic devices has increased recently; hence, power quality has become an important factor in electrical power systems. The various disturbances occurring in the electrical network (harmonics, voltage swells, sags, etc.) may lead to technical-economic damage that negatively impacts the quality of the supplied power. Therefore, the use of the Unified Power Quality Conditioner (UPQC) is a promising solution to limit such damage. In this paper, a nine-level structure of the proposed standardized power quality conditioner is analyzed. The conditioner is connected between a photovoltaic system (UPQC-PV) and a smart grid. Then, a new approach to generate switches for the switches of both the series and parallel converters is proposed. This modulation technique relies on an adaptive hysteresis band (AHB) that is determined via a fuzzy logic controller in order to obtain the required modified output voltage with minimum distortion. Simulation results, using MATLAB/Simulink, of different disturbance scenarios that may occur in the network are presented to verify the accuracy of the proposed fuzzy-logic-based AHB control system. Compared with the conventional SPWM, it is found that the proposed AHB modulation technique significantly improves the power quality in terms of producing less total harmonic distortion in both the voltage and current waveforms. Full article
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