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A Comparative Analysis of Multi-carrier PWM Schemes for Grid Integrated 15-level Smart Inverter Topology via Several Intelligent Controllers


Affiliations
1 Research Scholar, Department of Electrical and Electronics Engineering, SV University, Tirupati-517502, Andhra Pradesh, India
2 Retd. Professor, Department of Electrical and Electronics Engineering, SV University, Tirupati-517502, Andhra Pradesh, India
3 Energy Efficiency and Renewable Energy Division, Central Power Research Institute, Bangalore -560080, India
     

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Renewable energy plays a prominent energy which comes directly from natural resources like as fuel cells, PV arrays, wind, rain, tides and geothermal heat. These general resources are renewable and can be naturally replenished. Therefore, for all practical purposes, these resources should be considered to be inexhaustible, unlike dwindling classical fossil fuels. The grid integrated system is merely interpretation of stand-by module to co-generation scheme; it combines the both PV/FC arrangement as a single module with a highly recognized power conditioning system. The module ranges an outcome of 100 V to 400 V from 10 V to 40 V input, incorporated to micro-grid system via proposed asymmetrical inverter topologies with intelligent controllers. This controllers forecasts the optimal modulation index and switching angles for attaining enhanced output voltages, in-limit THD resolution and averts the sudden variations. In this behaviour, the proposed scheme provides perfect sinusoidal grid voltages which are in-phase with the current, good harmonic limitation values. Finally, a simulink model is implemented to validate the appearance of proposed 15-level asymmetrical inverter topologies with intelligent controller by advanced modulation schemes using Matlab/SimulinkTM platform and results are conferred.

Keywords

Advanced Pulse Width Modulation (PWM) Schemes,asymmetrical Smart Multi-level Inverter, Artificial Neuro Fuzzy Inference System, Fuel Cell Stacks, Fuzzy System, PV Arrays, Total Harmonic Distortion (THD), Particle Swarm Optimization.
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  • A Comparative Analysis of Multi-carrier PWM Schemes for Grid Integrated 15-level Smart Inverter Topology via Several Intelligent Controllers

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Authors

Hemachandu P.
Research Scholar, Department of Electrical and Electronics Engineering, SV University, Tirupati-517502, Andhra Pradesh, India
Veera Reddy V. C.
Retd. Professor, Department of Electrical and Electronics Engineering, SV University, Tirupati-517502, Andhra Pradesh, India
Chandra Sekhar B.
Energy Efficiency and Renewable Energy Division, Central Power Research Institute, Bangalore -560080, India

Abstract


Renewable energy plays a prominent energy which comes directly from natural resources like as fuel cells, PV arrays, wind, rain, tides and geothermal heat. These general resources are renewable and can be naturally replenished. Therefore, for all practical purposes, these resources should be considered to be inexhaustible, unlike dwindling classical fossil fuels. The grid integrated system is merely interpretation of stand-by module to co-generation scheme; it combines the both PV/FC arrangement as a single module with a highly recognized power conditioning system. The module ranges an outcome of 100 V to 400 V from 10 V to 40 V input, incorporated to micro-grid system via proposed asymmetrical inverter topologies with intelligent controllers. This controllers forecasts the optimal modulation index and switching angles for attaining enhanced output voltages, in-limit THD resolution and averts the sudden variations. In this behaviour, the proposed scheme provides perfect sinusoidal grid voltages which are in-phase with the current, good harmonic limitation values. Finally, a simulink model is implemented to validate the appearance of proposed 15-level asymmetrical inverter topologies with intelligent controller by advanced modulation schemes using Matlab/SimulinkTM platform and results are conferred.

Keywords


Advanced Pulse Width Modulation (PWM) Schemes,asymmetrical Smart Multi-level Inverter, Artificial Neuro Fuzzy Inference System, Fuel Cell Stacks, Fuzzy System, PV Arrays, Total Harmonic Distortion (THD), Particle Swarm Optimization.



DOI: https://doi.org/10.33686/prj.v11i4.189367