A low cost single phase grid connected reduced switch PV inverter based on Time Frame Switching Scheme
Autor: | G. Prakash, C. Subramani, C. Bharatiraja, Mohammad Shabin |
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Rok vydání: | 2016 |
Předmět: |
Engineering
Total harmonic distortion business.industry 020209 energy 020208 electrical & electronic engineering Energy Engineering and Power Technology Topology (electrical circuits) 02 engineering and technology Network topology law.invention Electric power system Capacitor Control theory law 0202 electrical engineering electronic engineering information engineering Electronic engineering Inverter Grid-tie inverter Electrical and Electronic Engineering business |
Zdroj: | International Journal of Electrical Power & Energy Systems. 77:100-111 |
ISSN: | 0142-0615 |
DOI: | 10.1016/j.ijepes.2015.11.028 |
Popis: | The domain of Grid Connected Inverter (GCI) and reduced switch topology in multi-level inverter (MLI) are gaining its attention in terms of reducing cost and optimization. For such a motivation, many researchers are addressing their efforts in proposing new MLI topologies or in modifying the existing ones, aiming at improving the quality of the energy available at the inverter terminals. The proposed split capacitor based topology uses only a single dc supply to generate any required output levels. The split capacitors are considered to obtain stepped output by adopting a Time Frame based Switching Scheme (TFSS). The numbers of semiconductor switches are reduced with an improvement in the harmonic factor. The power output is then filtered using passive inductor component and then synchronized to feed the grid power system. The result of the proposed topology is verified by Matlab/Simulink simulation and hardware implementation using a dsPIC30F4011 controller. The simulation and experimental results are compared to previous studies. The proposed scheme offers an excellent performance with significant result in lowest THD obtained and also enables the inverter to operate under unhinged PV conditions comprehensively. |
Databáze: | OpenAIRE |
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