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Research Article

Soft Computing Technique for Harmonic Mitigation of Enhancing Grid-Integrated Photovoltaic (PV) System Power Quality

Prakash Kumar Dewangan1 Mithilesh Singh2
1Research Scholar, Dept. of Electrical Engineering Shri Rawatpura Sarkar Uni. Raipur (C.G), India. 2Associate Professor& Head, Dept. of Electrical Engineering, Shri Rawatpura Sarkar Uni. Raipur (C.G), India

Published Online: March-April 2024

Pages: 21-25

References

1. Y. Sun, S. Li, B. Lin, X. Fu, M. Ramezani and I. Jaithwa, "Artificial Neural Network for Control and Grid Integration of Residential
Solar Photovoltaic Systems," in IEEE Transactions on Sustainable Energy, vol. 8, no. 4, pp. 1484-1495, Oct. 2017, doi:
10.1109/TSTE.2017.2691669
2. Rajan, Rijo, and Francis M. Fernandez. "Fuzzy based control of grid-connected photovoltaic system for enhancing system inertial
response." 2018 53rd International Universities Power Engineering Conference (UPEC). IEEE, 2018.
3. Mehmood, Faizan, et al. "Grid integrated photovoltaic system with fuzzy based maximum power point tracking control along with
harmonic elimination." Transactions on Emerging Telecommunications Technologies 33.2 (2022): e3856.
4. Ibrahim, Nagwa F., et al. "Operation of grid-connected PV system with ANN-based MPPT and an optimized LCL filter using GRG
algorithm for enhanced power quality." IEEE Access (2023).
5. Odonkor, Ebenezer Narh, Peter Musau Moses, and Aloys Oriedi Akumu. "Multiple grid-connected microgrids with distributed
generators energy sources voltage control in radial distribution network using ANFIS to enhance energy management." (2023).
6. Odonkor, Ebenezer Narh, Peter Musau Moses, and Aloys Oriedi Akumu. "Evaluate Power Sharing Coordination Performance of GridConnected Microgrids Operation in Radial Distribution System using ANFIS Controller."

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