Energy Efficiency Improvement in Reconfigurable Photovoltaic Systems: An Evaluation of Team Systems

Author:

Afzali Roohollah1,Velasco-Quesada Guillermo1ORCID

Affiliation:

1. Eastern Barcelona School of Engineering (EEBE), Technical University of Catalonia-BarcelonaTech (UPC), Eduard Maristany Ave. 16, E-08019 Barcelona, Spain

Abstract

The main objective of this work is to evaluate the energy efficiency improvement obtained in grid-connected photovoltaic systems based on a dynamic reconfiguration strategy. The MIX and team reconfigurable photovoltaic system topologies have been considered since both minimize the operation of the inverters in low-load conditions. A numerical method is used to analyze the energy flows within the photovoltaic system, with a specific focus on the plant-oriented configuration. In this work, MIX systems are only presented briefly, while team reconfigurable photovoltaic systems are analyzed in more detail. This is because team systems can be implemented using conventional commercial inverters, electromechanical switches to redirect power flows, and a simple digital controller (as based on the Arduino platforms). The energy supplied to the grid by two grid-connected photovoltaic systems will be evaluated: one based on a classic non-reconfigurable strategy and another based on the team strategy. The measurement of the energy generated by these two systems, tested under various irradiance levels (emulating different climatic conditions), shows that reconfigurable systems always exhibit greater energy efficiency. However, this energy improvement can only be considered substantial in certain situations.

Publisher

MDPI AG

Reference50 articles.

1. European Commission (2024, March 08). In Focus: Reducing the EU’s Dependence on Imported Fossil Fuels. Brussels. Available online: https://commission.europa.eu/news/focus-reducing-eus-dependence-imported-fossil-fuels-2022-04-20_en.

2. BP p.l.c (2024, March 08). Statistical Review of World Energy 2022. Available online: https://www.bp.com/en/global/corporate/energy-economics/webcast-and-on-demand.html#stats-review-archive.

3. International Renewable Energy Agency (IRENA) (2022). Renewable Capacity Statistics 2022, IRENA. Available online: https://www.irena.org/publications/2022/Apr/Renewable-Capacity-Statistics-2022.

4. Kibria, M.F., Elsanabary, A., Tey, K.S., Mubin, M., and Mekhilef, S.A. (2023). Comparative Review on Single Phase Transformerless Inverter Topologies for Grid-Connected Photovoltaic Systems. Energies, 16.

5. Tanrioven, M. (2023). Photovoltaic Systems Engineering for Students and Professionals: Solved Examples and Applications, CRC Press.

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