Hybrid Neuro-Fuzzy Integral Sliding Mode Control Technique Optimized UPQC for Power Quality Improvement in Solar Systems

Document Type : Research Paper

Authors

1 Unitéde Recherche en Energies Renouvelables en Milieu Saharien URERMS, Centre de Recherche des Energies Renouvelables CDER, BP. 478, 01000 Adrar, Alegria,

2 Department of Electrical and Computer Engineering, University of Draia Ahemed Adrar, 01000 Adrar, Algeria

Abstract

This paper presents the design and evaluation of a Photovoltaic-Unified Power Quality Conditioner (PV-UPQC) with series and shunt compensators connected via a DC link. The shunt compensator extracts power from the PV array, compensates harmonic currents and reactive power, and operates at the maximum power point (MPP) under real solar conditions in Adrar, Algeria. Hybrid Neuro-Fuzzy (HNF) integrated with Integral Sliding Mode Control (ISM-C) address chattering issues, improving energy extraction and power quality under variable conditions. Grey Wolf Optimizer (GWO) tunes controller (HNF-ISM-C) parameters, with simulations demonstrating the superiority of HNF-ISM-C over conventional methods. The proposed system significantly enhances power quality, especially under fluctuating irradiation and temperature conditions. The results highlight the robustness and effectiveness of the optimized control strategy in real-world applications.

Keywords

Main Subjects

References

[1] A. Amirullah, A. Ananda, O. Penangsang, A. Soeprijanto, Load active power transfer enhancement using UPQCPV-
BES system with fuzzy logic controller, International Journal of Intelligent Engineering and Systems, 13(2)
(2020), 329-349. http://eprints.ubhara.ac.id/id/eprint/1315
[2] M. T. Benchouia, I. Ghadbane, A. Golea, K. Srairi, M. H. Benbouzid, Design and implementation of sliding mode
and PI controllers-based control for three phase shunt active power filter, Energy Procedia, 50 (2014), 504-511.https://doi.org/10.1016/j.egypro.2014.06.061
[3] S. L. K. Bharathi, S. Selvaperumal, MGWO-PI controller for enhanced power flow compensation using unified power
quality conditioner in wind turbine squirrel cage induction generator, Microprocessors and Microsystems, 76 (2020),
103080, 1-8. https://doi.org/10.1016/j.micpro.2020.103080
[4] A. Chebabhi, M. K. Fellah, A. Kessal, M. F. Benkhoris, Comparative study of reference currents and DC bus voltage
control for Three-Phase Four-Wire Four-Leg SAPF to compensate harmonics and reactive power with 3D SVM, ISA
Transactions, 57 (2015), 360-372. https://doi.org/10.1016/j.isatra.2015.01.011
[5] Y. Chu, J. Fei, S. Hou, Dynamic global proportional integral derivative sliding mode control using radial basis function
neural compensator for three-phase active power filter, Transactions of the Institute of Measurement and Control,
40(12) (2018), 3549-3559. https://doi.org/10.1177/0142331217726955
[6] Y. Chu, S. Hou, J. Fei, Continuous terminal sliding mode control using novel fuzzy neural network for active power
filter, Control Engineering Practice, 109 (2021), 104735, 1-10. https://doi.org/10.1016/j.conengprac.2021.
104735
[7] B. Deffaf, F. Hamoudi, N. Debdouche, Sliding mode control of a shunt active filter-comparative analysis with conventional PI control, In 2022 19th International Multi-Conference on Systems, Signals and Devices (SSD), (2022),
1422-1427. http://doi.org/10.1109/SSD54932.2022.9955725
[8] S. Devassy, B. Singh, Design and performance analysis of three-phase solar PV integrated UPQC, IEEE Transactions
on Industry Applications, 54(1) (2017), 73-81. http://doi.org/10.1109/TIA.2017.2754983
[9] L. Djilali, A. Badillo-Olvera, Y. Rios, H. L´opez-Beltr´an, L. Saihi, Neural high order sliding mode control for doubly
fed induction generator-based wind turbines, IEEE Latin America Transactions, 20(2) (2021), 223-232. https:
//doi.org/10.1109/TLA.2022.9661461
[10] P. Dutta, S. K. Nayak, Grey wolf optimizer based PID controller for speed control of BLDC motor, Journal of
Electrical Engineering and Technology, 16 (2021), 955-961. https://doi.org/10.1007/s42835-021-00660-5
[11] M. Fodil, A. Djerioui, M. Ladjal, A. Saim, F. Berrabah, H. Mekki, et. al, Optimization of PI controller parameters
by GWO algorithm for five-phase asynchronous motor, Energies, 16(10) (2023), 4251, 1-14. https://doi.org/10.
3390/en16104251
[12] S. M. Hosseini, M. Manthouri, Type 2 adaptive fuzzy control approach applied to variable speed DFIG based wind
turbines with MPPT algorithm, Iranian Journal of Fuzzy Systems, 19(1) (2022), 31-45. https://doi.org/10.
22111/IJFS.2022.6549
[13] S. Inthiyaz, R. Nalli, T. Rakesh, K. Subbarao, S. H. Ahammad, V. Rajesh, GA based PID controller: Design
and optimization, In 2021 6th International Conference on Inventive Computation Technologies (ICICT), (2021),
285-289. http://doi.org/10.1109/ICICT50816.2021.9358640
[14] G. Isha, P. Jagatheeswari, Optimal allocation of DSTATCOM and PV array in distribution system employing
fuzzy-lightning search algorithm, Automatika, 62(3-4) (2021), 339-352. https://doi.org/10.1080/00051144.
2021.1963080
[15] R. Kumar, Fuzzy particle swarm optimization control algorithm implementation in photovoltaic integrated shunt
active power filter for power quality improvement using hardware-in-the-loop, Sustainable Energy Technologies and
Assessments, 50 (2022), 101820, 1-12. https://doi.org/10.1016/j.seta.2021.101820
[16] S. Lakhdar, F. Ferroudji, K. Roummani, K. Koussa, Enhanced sensor-less control of DFIG-based generators using
hybrid MRAS-ANN observer and PSO parameter optimization, In 2023 14th International Renewable Energy
Congress (IREC), (2023), 1-6. https://doi.org/10.1109/IREC59750.2023.10389203
[17] M. Mirzaee, R. Kazemi, Type-II fuzzy inference system-based fractional terminal sliding mode control for zero-force
exoskeleton robots, Iranian Journal of Fuzzy Systems, 21(6) (2024), 147-171. https://doi.org/10.22111/ijfs.
2025.49399.8718
[18] M. Mirzaee, A. Nazemi, Parallel synchronization and a RBF neuro-fuzzy system to synchronization of chaotic
systems, Iranian Journal of Fuzzy Systems, 21(6) (2024), 101-126. https://doi.org/10.22111/ijfs.2025.48808.
8609
[19] A. Moghassemi, S. Padmanaban, V. K. Ramachandaramurthy, M. Mitolo, M. Benbouzid, A novel solar photovoltaic
fed TransZSI-DVR for power quality improvement of grid-connected PV systems, IEEE Access, 9 (2020), 7263-7279.
http://doi.org/10.1109/ACCESS.2020.3048022
[20] J. Morales, L. G. de Vicuna, R. Guzman, M. Castilla, J. Miret, Modeling and sliding mode control for three-phase
active power filters using the vector operation technique, IEEE Transactions on Industrial Electronics, 65(9) (2018),
6828-6838. https://doi.org/10.1109/TIE.2018.2795528
[21] I. Oulimar, K. Bouchouicha, N. Bailek, M. Bellaoui, Statistical study of global solar radiation in the Algerian desert:
A case study of Adrar town, Theoretical and Applied Climatology, 155(4) (2024), 3493-3504. http://doi.org/10.
1007/s00704-024-04834-9
[22] N. Paliwal, L. Srivastava, M. Pandit, Application of grey wolf optimization algorithm for load frequency control in
multi-source single area power system, Evolutionary Intelligence, 15 (2022), 563-584. https://doi.org/10.1007/
s12065-020-00530-5
[23] M. Pichan, M. Mohammadian, Modelling and digital-based direct power control of shunt active power filter for
rectifier loads, Journal of Modeling in Engineering, 21(72) (2023), 99-109. https://doi.org/10.22075/JME.2022.
26912.2258
[24] L. Saihi, B. Berbaoui, Mitigation of low voltage electrical network pollution using a two-level PAPF controlled
by the ANN-PQ algorithm, In 2023 International Conference on Electrical Engineering and Advanced Technology
(ICEEAT), 1 (2023), 1-5. https://doi.org/10.1109/ICEEAT60471.2023.10425819
[25] L. Saihi, B. Berbaoui, Y. Bakou, Sliding mode of second-order control based on super-twisting ANFIS algorithm
of doubly fed induction generator in wind turbines systems with real variable speeds, Iranian Journal of Science
and Technology, Transactions of Electrical Engineering, 47(2) (2023), 473-490. https://doi.org/10.1007/
s40998-022-00576-4
[26] L. Saihi, B. Berbaoui, H. Glaoui, L. Djilali, S. Abdeldjalil, Robust sliding mode H∞ controller of DFIG based on
variable speed wind energy conversion system, Periodica Polytechnica Electrical Engineering and Computer Science,
64(1) (2020), 53-63. http://mjee.iaumajlesi.ac.ir/index/index.php/ee/article/view/2981
[27] L. Saihi, F. Ferroudji, K. Roummani, K. Koussa, Y. Bakou, B. Berbaoui, Improved harmonic mitigation with a SAP
filter connected to a renewable energy source using a novel ANN algorithm, In 2023 Second International Conference
on Energy Transition and Security (ICETS), (2023), 1-6. https://doi.org/10.1109/ICETS60996.2023.10410755
[28] E. Samavati, H. R. Mohammadi, Active harmonic compensation and stability improvement in high-power gridconnected inverters using unified power quality conditioner, International Journal of Industrial Electronics Control
and Optimization, 6(3) (2023), 193-204. https://doi.org/10.22111/ieco.2023.45861.1487
[29] K. Sozanski, P. Szczesniak, Advanced control algorithm for three-phase shunt active power filter using sliding DFT
Energies, 16(3) (2023), 1453, 1-17. https://doi.org/10.3390/en16031453
[30] R. Thangella, S. R. Yarlagadda, J. Sanam, Optimal power quality improvement in a hybrid fuzzy-sliding mode
MPPT control-based solar PV and BESS with UPQC, International Journal of Dynamics and Control, 11(4) (2023),
1823-1843. https://doi.org/10.1007/s40435-022-01095-0
[31] H. Usman, N. Magaji, Simulation of shunt active power filter based fuzzy logic controller for minimization of
total harmonic distortion, International Journal of Applied and Advanced Engineering Research, 2(1) (2023), 1-14.
https://mediterraneanpublications.com/mejaaer/article/view/172
[32] S. Yamparala, L. Lakshminarasimman, G. S. Rao, Optimal design of fopid controller for DFIG based wind energy
conversion system using grey-wolf optimization algorithm, International Journal of Renewable Energy Research
(IJRER), 12(4) (2022), 2111-2120. https://doi.org/10.20508/ijrer.v12i4.13446.g8594
Iranian Journal of Fuzzy Systems
Volume 22, Issue 1
January and February 2025
Pages 147-168

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