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Grid-Connected Solar PV Power Plants Optimization: A Review
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
Al-Hussain University College, Iraq.
Tallinn University of Technology, Estonia.
Alexandria University, Egypt.
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2023 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 11, p. 79588-79608Article in journal (Refereed) Published
Abstract [en]

Due to photovoltaic (PV) technology advantages as a clean, secure, and pollution-free energy source, PV power plants installation have shown an essential role in the energy sector. Nevertheless, the PV power plant cost of energy must be competitive when compared to traditional energy sources. Therefore, numerous studies are continuously being conducted aiming to optimize PV power plants, including components arrangements within the installation site, the inverter topology, cables, PV modules and inverters numbers, PV module tilt angle and shading effect. For selecting the most suitable combinations for system parameters, this study seeks to systematically analyze and synthesize the design of the PV power plant optimization from the current literature. The study also examines component sizing for PV power plants, involving PV modules tilt angle, inverter, transformer, and cables. Moreover, it provides an overview of the main components employed to install the PV power plant, which includes PV modules, inverter, transformer and wiring. It examines the different inverter topologies used in PV power plants along with a comparison between these topologies.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023. Vol. 11, p. 79588-79608
Keywords [en]
grid-connected, inverter, optimal design, optimization, photovoltaic, PV power plant, Biological systems, Cables, Electric inverters, Free energy, Solar energy, Solar panels, Solar power generation, Biological system modeling, Inverte, Optimisations, Photovoltaic power plant, Photovoltaics, Power- generations, Topology
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-64093DOI: 10.1109/ACCESS.2023.3299815ISI: 001043104000001Scopus ID: 2-s2.0-85166347693OAI: oai:DiVA.org:mdh-64093DiVA, id: diva2:1790763
Available from: 2023-08-23 Created: 2023-08-23 Last updated: 2023-08-30Bibliographically approved

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Zidane, Tekai Eddine Khalil

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