Behavioral modeling of grid-connected photovoltaic inverters: Development and assessment |
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| Affiliation: | 1. Gehrlicher Solar Spain, Poligono Industrial Marimingo, 30180 Bullas, Spain;2. Dept. of Electronic Tech, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain;3. Renewable Energy Research Institute and DIEEAC/EDII-AB, Universidad de Castilla La Mancha, 02071 Albacete, Spain;4. Dept. of Electrical Eng., Universidad Politécnica de Cartagena, 30202 Cartagena, Spain;1. Novel Materials Group, Humboldt-Universität zu Berlin, 12489 Berlin, Germany;2. Department of Physics and Astronomy, Seoul National University, Seoul 151-747, Republic of Korea;3. Department of Physics, Pohang University of Science and Technology, Pohang 790-784, Republic of Korea;4. NANOSPM Lab, Daegu Gyeongbuk Institute of Science and Technology, Daegu 711-873, Republic of Korea;1. Commodities Carbon and Energy, Westpac Institutional Bank, Sydney, Australia;2. Physics Department, University of Newcastle, Callaghan, Australia;1. División de Estudios de Postgrado, Facultad de Ingeniería Eléctrica, Universidad Michoacana de San Nicolás de Hidalgo, Mexico;2. Facultad de Ingeniería, Universidad Autónoma de San Luis Potosí, Mexico;3. Computer Science Department, Instituto Nacional de Astrofísica, Óptica y Electrónica, Mexico;1. University of Antwerp, Department of Chemistry, Groenenborgerlaan 171, B-2020 Antwerp, Belgium;2. Karel de Grote University College, Department of Applied Engineering, Salesianenlaan 30, B-2660 Hoboken, Belgium |
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| Abstract: | This paper describes and assesses a behavioral model for grid-connected photovoltaic inverters. The model allows us to simulate the electrical behavior of commercial single-phase and three-phase inverters in accordance with the limits of EN50160 power quality. Regarding power strategies for current inverters, both voltage and current control loops have been explicitly modeled, providing suitable simulations of the injected AC-current waveform under either power dynamics or grid voltage disturbances. Additionally, irradiance oscillations and dynamic Maximum Power Point Tracking performance have been also considered in the proposed solution. Internal inverter variables are not needed to fit the model parameters, being estimated from basic data-sheet information provided by manufacturers and simple AC-collected values from the PV power plants. This characteristic avoids any additional DC-side measurement, being a significant contribution in comparison with previous approaches.The proposed model is assessed using real data collected in Spanish photovoltaic power plants along several years. The obtained results are compared with previous behavioral model approaches and also included in the paper. |
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| Keywords: | Photovoltaic power systems Inverters Modeling |
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