Experimental and Numerical Analysis of Photovoltaic Inverters
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F3: Power Electronics".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 993
Special Issue Editors
Interests: photovoltaic power generation technology; grid-forming technologies for renewable energy integration; control and reliability of power electronics
Special Issues, Collections and Topics in MDPI journals
Interests: power electronics; photovoltaic power systems; DC microgrids; DC distribution systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Solar photovoltaic technology is the key to achieving carbon neutrality. This requires further innovations in modules, power converters, and control technologies. Nonetheless, over time, PV modules can experience degradation and aging, leading to reduced energy production. Therefore, it is essential to study the effects of aging on PV modules and inverters, as well as the operational conditions of the entire system, through experimental and numerical analysis in order to ensure their long-term performance and reliability, which can help to develop more robust and efficient inverters. This will also help in monitoring the status of the entire system to enable secure and reliable power supply from PV modules. Furthermore, the performance of modules, inverters, and other connected systems is co-related. A top-down view of the entire system may benefit system-level optimization and control.
In this context, this Special Issue on the experimental and numerical analysis of photovoltaic inverters will collect the latest research on PV technologies, in particular power converters. The topics of interest include, but are not limited to:
- The modeling of solar PV modules (e.g., c-Si and other emerging technologies);
- The modeling and control of PV inverters;
- Advanced PV cell technologies;
- Novel power converters design for PV applications;
- Data acquisition and analysis in PV systems;
- The condition monitoring of PV modules and inverters;
- Experimental verifications with big data;
- Artificial intelligence in PV systems;
- The control and testing of PV systems (standalone and grid-connected).
Dr. Yongheng Yang
Dr. Xingshuo Li
Guest Editors
Manuscript Submission Information
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Keywords
- modeling and control
- solar PV cell
- PV power converters
- data acquisition and analysis
- condition monitoring
- experimental verifications
- artificial intelligence
