Harmonic Performance Assessment of a Fuzzy Controlled Grid Connected Photovoltaic Battery System
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This study assesses the voltage harmonic performance of a fuzzy controlled grid connected photovoltaic–battery system using harmonic results reported from a MATLAB/Simulink model. The analysis concentrates on the third, fifth, seventh and ninth harmonics and on the consistency of the reported total harmonic distortion (THD). The listed harmonic magnitudes decreased from 2.85%, 3.60%, 2.10% and 1.25% without fuzzy control to 1.20%, 1.85%, 1.10% and 0.65% with fuzzy control, respectively. Relative reductions ranged from 47.62% to 57.89%. The fifth harmonic remained the largest listed component, although its magnitude fell by 1.75 percentage points. Reported voltage THD decreased from 7.85% to 3.42%, corresponding to a 56.43% relative reduction. However, root-sum-square reconstruction from the four specified orders yielded 5.20% and 2.55%, respectively. Including the separately reported higher-order entry as an aggregate increased these estimates to 5.32% and 2.59%, leaving the reported totals unreconciled. The available evidence therefore indicates lower listed voltage harmonics with fuzzy control but does not establish a complete spectrum or standards compliance. The contribution is a focused comparison of harmonic attenuation and a transparent assessment of the spectral information required to substantiate aggregate performance.
Abbasi, M. S. W., Kazmi, S. A. A., Billah, M., Altamimi, A., Khan, Z. A., & Alghassab, M. (2025). Power quality optimization framework for three phase microgrids with grid tied solar PV and battery storage under nonlinear loads. Scientific Reports, 15, Article 42568. https://doi.org/10.1038/s41598-025-18954-3
Assem, H., Azib, T., Bouchafaa, F., Laarouci, C., Belhaouas, N., & Hadj Arab, A. (2023). Adaptive fuzzy logic-based control and management of photovoltaic systems with battery storage. International Transactions on Electrical Energy Systems, 2023, Article 9065061. https://doi.org/10.1155/2023/9065061
Bahri, A., Benamrane, K., Abdelkrim, T., Bechouat, M., Mezhoud, N., & Ayachi, B. (2025). Three-level boost converter with fuzzy logic for PV-battery energy systems in DC voltage control. Journal Européen des Systèmes Automatisés, 58(1), 1–12. https://doi.org/10.18280/jesa.580101
Boopathi, R., & Indragandhi, V. (2025). Enhancement of power quality in grid-connected systems using a predictive direct power controlled based PV-interfaced with multilevel inverter shunt active power filter. Scientific Reports, 15, Article 7967. https://doi.org/10.1038/s41598-025-92693-3
Cavus, M., Dissanayake, D., & Bell, M. C. (2025). Deep-fuzzy logic control for optimal energy management: A predictive and adaptive framework for grid-connected microgrids. Energies, 18(4), Article 995. https://doi.org/10.3390/en18040995
El Sayed, N. G., Yousef, A. M., El-Saady, G., Alanazi, M. D., Ziedan, H. A., & Abdelsattar, M. (2024). Artificial intelligent fuzzy control and LAPO algorithm for enhancement LVRT and power quality of grid connected PV/wind hybrid systems. Scientific Reports, 14, Article 30475. https://doi.org/10.1038/s41598-024-78384-5
Eyenubo, O. J., Obuseh, E. E., Ebisine, E. E., Okieke, U. J., Otuagoma, S. O., & Urhefe, O. V. (2025). Hybrid ANN-PSO model for short-term electricity load forecasting: A case study of Oleh power system. NIPES Journal of Science and Technology Research, 7(4), 1–17. https://doi.org/10.37933/nipes/7.4.2025.1454
Eyenubo, O. J., Obuseh, E. E., Ebisine, E. E., Okpare, A. O., & Okieke, U. J. (2025). Analysis of Oria Abraka 33/11 kV power sub-station: A case for sustainable power supply. NIPES Journal of Science and Technology Research, 7(1), 204–218. https://doi.org/10.37933/nipes/7.1.2025.17
Govil, V. K., Tripathi, S. M., & Sahay, K. (2025). Real-time assessment of PV-DSTATCOM for grid power quality enhancement using an indirect current control strategy. Scientific Reports, 15, Article 19516. https://doi.org/10.1038/s41598-025-01078-z
Gupta, M., Tiwari, P. M., Viral, R. K., Shrivastava, A., Abu Zneid, B., & Hunko, I. (2025). Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller. Scientific Reports, 15, Article 28869. https://doi.org/10.1038/s41598-025-10617-7
Howlader, A. M., Sadoyama, S., Roose, L. R., & Chen, Y. (2020). Active power control to mitigate voltage and frequency deviations for the smart grid using smart PV inverters. Applied Energy, 258, Article 114000. https://doi.org/10.1016/j.apenergy.2019.114000
IEA Photovoltaic Power Systems Programme. (2026). Snapshot of global PV markets 2026. https://iea-pvps.org/snapshot-reports/snapshot-2026/
IEEE. (2022). IEEE standard for harmonic control in electric power systems (IEEE Std 519-2022). https://standards.ieee.org/ieee/519/10677/
Mohamed, M. A. E., Ward, S. A., El-Gohary, M. F., & Mohamed, M. A. (2025). Hybrid fuzzy logic–PI control with metaheuristic optimization for enhanced performance of high-penetration grid-connected PV systems. Scientific Reports, 15, Article 24650. https://doi.org/10.1038/s41598-025-09336-w
Obuseh, E. E., Ebisine, E. E., Okieke, J. U., Aloamaka, C. A., & Anamonye, G. U. (2025). Sustainability of decarbonization: A systematic review of policy integration and regional realities. Nigerian Journal of Sustainability Research, 3(2), 77–95. https://njsr.com.ng/index.php/home/article/view/49
Obuseh, E. E., Otuagoma, S. O., Ilori, E. G., Anamonye, U. G., Okieke, U. J., & Eyenubo, O. J. (2026). Sustainability of solar photovoltaic systems: A life cycle assessment review. Nigerian Journal of Sustainability Research, 4(1), 387–410. https://njsr.com.ng/index.php/home/article/view/70
Ogbah, G. O., Ubeku, E. U., Otuagoma, S. O., Eyenubo, J. O., & Obuseh, E. E. (2025). Reliability evaluation of thermal power stations: A case study of a power station in Southern Nigeria. Journal of Engineering Research Innovation and Scientific Development, 3(3), 29–33. https://doi.org/10.61448/jerisd33256
Otuagoma, S. O., Obuseh, E. E., Oyubu, A. O., Okpare, A., Eyenubo, O. J., & Tanen, B. R. (2025). Assessment of conveyor telemetry system in a manufacturing firm: A case study of a brewery in Eastern Nigeria. NIPES Journal of Science and Technology Research, 7(2), 44–58. https://doi.org/10.37933/nipes/7.2.2025.3
Ravi, T., Kumar, K. S., Dhanamjayulu, C., Khan, B., & Rajalakshmi, K. (2023). Analysis and mitigation of PQ disturbances in grid connected system using fuzzy logic based IUPQC. Scientific Reports, 13, Article 22425. https://doi.org/10.1038/s41598-023-49042-z
Shirinda, K., Kusakana, K., & Ostraszewski, M. (2024). Combinatorial optimization of a fuzzy logic-controlled grid connected photovoltaic with hybrid energy storage systems using time of use tariff. Journal of Energy Storage, 99, Article 113251. https://doi.org/10.1016/j.est.2024.113251
Zaghba, L., Borni, A., Khennane Benbitour, M., Fezzani, A., Alwabli, A., Bajaj, M., Dost Mohammadi, S. A., & Ghoneim, S. S. M. (2024). Enhancing grid-connected photovoltaic system performance with novel hybrid MPPT technique in variable atmospheric conditions. Scientific Reports, 14, Article 8205. https://doi.org/10.1038/s41598-024-59024-4
