Issue |
E3S Web Conf.
Volume 564, 2024
International Conference on Power Generation and Renewable Energy Sources (ICPGRES-2024)
|
|
---|---|---|
Article Number | 05007 | |
Number of page(s) | 8 | |
Section | Solar Power Generation Systems | |
DOI | https://doi.org/10.1051/e3sconf/202456405007 | |
Published online | 06 September 2024 |
A New Standalone Photovoltaic Inverter Configuration with Low Harmonic Distortion under the Partially Shaded Condition
1 PG Scholar, Department of Electrical and ElectronicEngineering, (EPS), Institute of Aeronautical Engineering anushamanda05@gmail.com, Dundigal Hyderabad - 500043
2 Professor, Department of Electrical and Electronic Engineering, Institute of Aeronautical Engineering d.shobharani@iare.ac.in, Dundigal, Hyderabad, 500043, India
This paper proposes a new standalone photovoltaic (PV) inverter topology for optimal solar power usage, which includes a new maximum power point tracking (MPPT) technique based on shading pattern analysis utilizing an adaptive neuro-fuzzy inference system (ANFIS), SIMO converter, and multilayer inverter (MLI). The suggested MPPT scheme is tested in partially shaded conditions. The PV voltage is then sent to the SIMO converter, which generates four distinct voltages (V1, V2, V3, and V4). The MLI reduces harmonic distortion by converting the SIMO converter’s dc output voltage to ac. Artificial Neural Networks (ANN) are employed in traditional systems to reduce harmonic distortion by 3.24 %. Photovoltaic inverter configuration using ANFIS is proposed in this paper. The ANFIS reduces overall harmonic distortion by 2.04 %, which is significantly better than the ANN. This MLI has eight switching devices and delivers 31-level ac output voltage with very low harmonic distortion. The particle swarm optimization (PSO), MPPT scheme harvests maximum power in any weather condition, and MLI feeds the utility, which is a key aspect, linked with the proposed topology. The performance of the MLI and converter is programmed using an FPGA Spartan trainer kit.
Key words: Maximum power point tracking / photovoltaic inverter / single input and multi output converter
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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