Overview of Maximum Power Point Tracking Methods for PV System in Micro-Grid
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: closed (27 September 2023) | Viewed by 43852
Special Issue Editor
Interests: smart grid; micro grid; virtualization; AI; big data; blockchain
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The photovoltaic (PV) system is receiving much attention because it is an infinite, eco-friendly energy source. In addition, since the PV system generates electricity without a driving unit, it has the advantage of having a long life as it requires little maintenance. Nonetheless, PV systems are highly dependent on environmental conditions, and they have the disadvantage of low conversion efficiency.
Thus, this Special Issue presents an overview of maximum power point tracking (MPPT) methods for photovoltaic (PV) systems used in the micro grids of PV systems. In addition, this Special Issue will present an overview of the solutions for photovoltaic (PV) systems used in Industry 4.0 of PV systems.
In the PV system, the output varies nonlinearly with temperature and radiation, and the point at which power is maximized appears accordingly. The MPPT of the PV system can improve output by about 25%, and it is very important to operate at this point at all times. Various methods of tracking the MPP of the PV system have been studied and proposed. In this paper, we discuss commonly used methods for the MPPT of PV systems, methods using artificial intelligence control, and mixed methods, and discuss the characteristics, Industry 4.0, IoT, application advantages, and disadvantages of each method.
For this purpose, this Special Issue is open to receiving a variety of meaningful and valuable manuscripts concerning the purpose of solving the Industry 4.0 issue based on smart grid/micro grid/energy harvesting. Participants may choose to write about one of the subjects listed below, though are not limited to these.
- Energy harvesting system service respecting human beings and their lives;
- Energy harvesting solutions of artificial intelligence and big data;
- Energy harvesting engineering mathematical theories that deeply affect science and industry;
- Energy harvesting media techniques and services for systems engineering;
- Power system control;
- Optimization of operation of power systems;
- Energy management system;
- Application of IoT and/or AI for power systems;
- Control method of power electronics;
- Optimal operation of renewable energy;
- A public energy harvesting integration system for future systems;
- Energy storage system (ESS) for future systems;
- Photovoltaic (PV) systems and nuclear power plants;
- Photovoltaic (PV) plants;
- Blockchain-based REC for photovoltaic (PV) systems;
- Security of photovoltaic (PV) plants;
- Smart farm and photovoltaic (PV) systems.
Prof. Jun-Ho Huh
Guest Editor
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Keywords
- photovoltaic (PV) system
- energy harvesting
- maximum power point tracking
- micro grid
- smart grid
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