Control of asymmetrical cascaded multilevel inverter for a grid‐connected photovoltaic system
Autor: | Madan Kumar Das, Kartick Chandra Jana, Akanksha Sinha |
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Rok vydání: | 2019 |
Předmět: |
Maximum power principle
Renewable Energy Sustainability and the Environment Computer science 020209 energy 020208 electrical & electronic engineering Photovoltaic system 02 engineering and technology Power factor Grid Control theory 0202 electrical engineering electronic engineering information engineering Grid-connected photovoltaic power system Inverter Maximum power transfer theorem |
Zdroj: | IET Renewable Power Generation. 13:1456-1465 |
ISSN: | 1752-1424 1752-1416 |
DOI: | 10.1049/iet-rpg.2018.5230 |
Popis: | This article presents a generalised asymmetrical cascaded multilevel inverter (MLI) for a single-phase grid-connected photovoltaic (PV) system and their control strategy. The control strategy, including maximum power tracking along with a suitable interface, is implemented for maximum power transfer from the PV source to the single-phase low-power grid. The balancing of DC-link voltages for an asymmetrical MLI under variable solar parameters as well as grid parameter variation is implemented using the proposed control strategy. The voltage controllers maintain the constant DC-link voltage ratio, whereas the current controller injects the sinusoidal current into the grid at unity power factor and track the grid voltage under variation of grid voltage using grid tracker. Stability analysis of the proposed grid-connected asymmetrical inverter system is also incorporated. The whole grid-tied PV system is simulated in the MATLAB/SIMULINK environment and the exhaustive simulation results of the system under different transient conditions are presented. In addition, a laboratory prototype for a low-power grid-tied PV system has been developed and implemented using DS1103. The performance of the system is also tested at varying irradiance conditions and the corresponding experimental results are also presented. |
Databáze: | OpenAIRE |
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