Special Issue "Overview of Maximum Power Point Tracking Methods for PV System in Micro-Grid"
Deadline for manuscript submissions: closed (27 September 2023) | Viewed by 29288
Interests: smart grid; micro grid; virtualization; AI; big data; blockchain
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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
Manuscript Submission Information
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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. Energies 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 2600 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.
- photovoltaic (PV) system
- energy harvesting
- maximum power point tracking
- micro grid
- smart grid