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A Sensorless MPPT Approach For PV Pumb System Used BLDC Motor

Year 2024, Volume: 12 Issue: 1, 27 - 35, 01.03.2024
https://doi.org/10.17694/bajece.1418954

Abstract

PV irrigation systems have begun to be used intensively today, as energy needs increase. In Partially Shaded Conditions (PSC), the efficiency of the PV system decreases significantly, and traditional Maximum Power Point Tracking (MPPT) algorithms become insufficient. On the other hand, traditional MPPT algorithms require sensors to measure the current and voltage of the PV system. In this study, a sensorless hybrid MPPT algorithm is proposed to reduce system costs and enable operation without the need for PV system data. A simulation study was conducted in the MATLAB/Simulink environment to examine the PV system. The proposed algorithm has been tested under four different PSC scenarios. PV system power, motor speed, and currents were examined under each condition. The high maximum power tracking performance of the proposed algorithm is demonstrated through simulation results. In the steady state, the lowest MPPT efficiency was 95.66%, whereas the highest MPPT efficiency was 99.9%. The MPPT algorithm completed in less than 2 seconds, with the first stage taking 1.3 seconds to reach most of the maximum PV system power. The second stage of the MPPT algorithm was used to achieve maximum power in a narrower area.

References

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  • [5] G. Boztas, O. Aydogmus, H. Guldemir, “Design and implementation of a high-efficiency low-voltage synchronous reluctance motor.” Electrical Engineering, Vol.10, No.2, 2020, pp. 717-725.
  • [6] R. Antonello, M. Carraro, A. Costabeber, F. Tinazzi, M. Zigliotto, “Energy-efficient autonomous solar water-pumping system for permanent-magnet synchronous motors.” IEEE Transactions on Industrial Electronics, Vol.64, No.1, 2016, pp. , 43-51.
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  • [8] R. Kumar, B. Singh. “Single stage solar PV fed brushless DC motor driven water pump.” IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 5, No 3, 2017, pp.1377-1385.
  • [9] O. Aydogmus. “Design of a solar motor drive system fed by a direct-connected photovoltaic array.” Advances in Electrical and Computer Engineering, Vol.12,No.3, 2012, pp. 53-58.
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  • [12] R. Celikel, A. Gundogdu. “Comparison of PO and INC MPPT methods using FPGA in-the-loop under different radiation conditions. Balkan Journal of Electrical and Computer Engineering, Vol.9, No.22,2021, pp.114-122.
  • [13] Z. Bi, J. Ma, K.L. Man, J.S. Smith, Y. Yue. H. Wen. “An Enhanced 0.8VOC-Model-Based Global Maximum Power Point Tracking Method for Photovoltaic Systems,” IEEE Transactions on Industry Applications, Vol.56, 2020, pp.6825-6834, doi:0.1109/TIA.2020.3019364.
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  • [17] M. Kermadi, Z. Salam, J. Ahmed, E.M. Berkouk, “An effective hybrid maximum power point tracker of photovoltaic arrays for complex partial shading conditions,” IEEE Transactions on Industrial Electronics, Vol.66, 2018, pp. 6990-7000.
  • [18] V. Pallavi, R. Gar, P. Mahajan, “Asymmetrical interval type-2 fuzzy logic control based MPPT tuning for PV system under partial shading condition,” ISA transactions, Vol. 100, 2020, pp. 251-263,
  • [19] Z. Zhao, R. Cheng, B. Yan, J. Zhang, Z. Zhang, M. Zhang, L.L. Lai, “A dynamic particles MPPT method for photovoltaic systems under partial shading conditions,” Energy Conversion and Management, Vol. 220 , 2020.
  • [20] Z. Kesilmiş, , M.A. Karabacak, M. Aksoy, “A Novel MPPT Method Based on Inflection Voltages,” Journal of Cleaner Production, Vol.266, 2020, pp.121473.
  • [21] L. Avila, M.D. Paula, M. Trimboli, I. Carluchod, “Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids,” Applied Soft Computing, Vol.97, 2020, 106711.
  • [22] K. Punitha, D. Devaraj, S. Sakthivel, “Artificial neural network based modified incremental conductance algorithm for maximum power point tracking in photovoltaic system under partial shading conditions,” Energy, Vol.62, 2013, pp.330-340.
  • [23] M.A. Ziad, N.V. Quynhc, S. Dadfar, H. Nakamuraf, “Variable step size perturb and observe MPPT controller by applying θ-modified krill herd algorithm-sliding mode controller under partially shaded conditions,” Journal of Cleaner Production, Vol.271, 2020, 122243.
  • [24] D. Yousri, T.S. Babu, D. Allam, V. K. Ramachandaramurthy, M.B. Etiba, “A novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions,” IEEE Access. Vol.7, 2019, pp.121432-121445.
  • [25] J. Yuan, Z. Zhao, Y. Liu, B. He, L. Wang, B. Xie, Y. Gao, “DMPPT Control of Photovoltaic Microgrid Based on Improved Sparrow Search Algorithm,” IEEE Access, Vol.9, 2021, pp.16623-16629.
  • [26] S. Immad, S. Mekhilef, T. K. Soon, “Maximum Power Point Tracking using Modified Butterfly Optimization Algorithm for Partial Shading, Uniform Shading and Fast Varying Load Conditions,” IEEE Transactions on Power Electronics, Vol.36, 2021, pp.5569-5581.
  • [27] S., Immad, S. Mekhilef, T.K. Soon, “Improved Team Game Optimization Algorithm Based Solar MPPT with Fast Convergence Speed and Fast Response to Load Variations,” IEEE Transactions on Industrial Electronics, Vol.68, 2020, pp.7093 –7103.
  • [28] M. Majad, A.F. Mirza, Q. Ling. “Harris hawk optimization-based MPPT control for PV Systems under Partial Shading Conditions.” Journal of Cleaner Production, Vol.27, 2020, 122857.
  • [29] A. Fathy, R. Hegazy, D. Yousri. “A robust global MPPT to mitigate partial shading of triple-junction solar cell-based system using manta ray foraging optimization algorithm,” Solar Energy, Vol.207, 2020, pp.305-316.
  • [30] A.F. Mirza, M. Mansoor, Q. Ling, B. Yin, M.Y. Javed. “A Salp-Swarm Optimization based MPPT technique for harvesting maximum energy from PV systems under partial shading conditions,” Energy Conversion and Management, Vol.209, 2020, 112625.
  • [31] M. A. Karabacak, Z. Kesilmiş, M. Aksoy, “A novel two-stage MPPT method based on inflection voltages.” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol.44, No.1, 2022, pp.591-612.
  • [32] M. E. Başoğlu. “An enhanced scanning-based MPPT approach for DMPPT systems.” International Journal of Electronics, Vol.105, No.12, 2018, pp.2066-2081.
  • [33] Y. H. Liu, J. H. Chen, J. W. Huang. “Global maximum power point tracking algorithm for PV systems operating under partially shaded conditions using the segmentation search method.” Solar Energy, Vol.103, 2014, pp.350-363.
  • [34] V. Jately, S. Bhattacharya, B. Azzopardi, A. Montgareuil, J, Joshi, S. Arora.). “Voltage and current reference based MPPT under rapidly changing irradiance and load resistance.” IEEE Transactions on Energy Conversion, Vol.36, No.3, 2021, pp.2297-2309.
  • [35] R. Celikel, M. Yilmaz, A. Gundogdu. “A voltage scanning-based MPPT method for PV power systems under complex partial shading conditions.” Renewable Energy, Vol.184, 2022, pp.361-373.
  • [36] K. Astitva, et al. "Grey Wolf Optimization Inspired Maximum Power Extraction from SPV System for Water Pumping Application." 2022 International Conference for Advancement in Technology (ICONAT). IEEE, 2022.
  • [37] H. K. V. Gadiraju, V. R. Barry, R. K. Jain. “Improved Performance of PV Water Pumping System Using Dynamic Reconfiguration Algorithm Under Partial Shading Conditions.” CPSS Transactions on Power Electronics and Applications, Vol.7, No.2, 2022, pp.206-215.
  • [38] M. Kashif, B. Singh. “Modified Active-Power MRAS Based Adaptive Control With Reduced Sensors for PMSM Operated Solar Water Pump.” IEEE Transactions on Energy Conversion, Vol.38, No.1, 2022, pp.38-52.
  • [39] S. G. Malla, P. Malla, J. M. R. Malla, R. Singla, P. Choudekar, R. Koilada, M. K. Sahu. “”Whale optimization algorithm for PV based water pumping system driven by BLDC motor using sliding mode controller.” IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol.10, No.4, 2022, pp.4832-4844.
  • [40] A. Mudlapur, V. V. Ramana, R. V. Damodaran, V. Balasubramanian, S. Mishra. Effect of partial shading on PV fed induction motor water pumping systems. IEEE Transactions on Energy Conversion, Vol.34, No.1, 2018, pp.530-539.
  • [41] A. Ammar, K. Hamraoui, M. Belguellaoui, A. Kheldoun. “Performance enhancement of photovoltaic water pumping system based on BLDC Motor under partial shading condition.” Engineering Proceedings, Vol.14, No.1, 2022.
  • [42] J. Arfaoui, H. Rezk, M. Al-Dhaifallah, F. Elyes, M. Abdelkader. “Numerical performance evaluation of solar photovoltaic water pumping system under partial shading condition using modern optimization.”,- Mathematics, Vol.7, No.11, 2019, pp. 1123.
  • [43] X. Li, H. Wen, Y. Hu, L. Jiang. “Drift-free current sensorless MPPT algorithm in photovoltaic systems.” Solar Energy, Vol.177, 2019, pp.118-126.
  • [44] H. Phillips-Brenes, R. Pereira-Arroyo, R. Rímolo-Donadío, M. Muñoz-Arias. “Current-Sensorless Control Strategy for the MPPT of a PV Cell: An Energy-Based Approach.” International Journal of Photoenergy, 2022.
  • [45] D. Cortes-Vega, H. Alazki, J. L. Rullan-Lara. “Current Sensorless MPPT Control for PV Systems Based on Robust Observer.” Applied Sciences, Vol.12, No.9, 2022, pp.4360.
  • [46] É. A. Tonolo, J. W. M. Soares, E. F. R. Romaneli, A. A. Badin.Current “Sensorless MPPT with a CCM Interleaved Boost Converter for Renewable Energy System.” IEEE Transactions on Power Electronics, Vol.37, No.9, 2022, pp.11296-11304.
Year 2024, Volume: 12 Issue: 1, 27 - 35, 01.03.2024
https://doi.org/10.17694/bajece.1418954

Abstract

References

  • [1] A. Gundogdu, H. Kizmaz, R. Celikel, M. Yilmaz, 2023. “Speed sensorless Adaptive Power Control for photovoltaic-fed water pump using Extended Kalman–Bucy filter.” Energy Reports, Vol.10, 2023, pp.1785-1795.,
  • [2] R. Celikel, G. Boztas, O. Aydogmus. “A system identification-based MPPT algorithm for solar photovoltaic pumping system under partial shading conditions.” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol. 44, No. 2, 2022, pp. 5199-5214.
  • [3] R. Kumar, B. Singh. “BLDC motor-driven solar PV array-fed water pumping system employing zeta converter.” IEEE Transactions on Industry Applications, Vol.52, No.2, 2016, pp. 2315-2322.
  • [4] K. Khan, S. Shukla, B. Singh. “Improved performance design realization of a fractional kilowatt induction motor with predictive current control for water pumping.” IEEE Transactions on Industry Applications, Vol. 56, No.4, 2020, pp.4575-4587.
  • [5] G. Boztas, O. Aydogmus, H. Guldemir, “Design and implementation of a high-efficiency low-voltage synchronous reluctance motor.” Electrical Engineering, Vol.10, No.2, 2020, pp. 717-725.
  • [6] R. Antonello, M. Carraro, A. Costabeber, F. Tinazzi, M. Zigliotto, “Energy-efficient autonomous solar water-pumping system for permanent-magnet synchronous motors.” IEEE Transactions on Industrial Electronics, Vol.64, No.1, 2016, pp. , 43-51.
  • [7] R. Kumar, B. Singh. “Solar PV powered‐sensorless BLDC motor driven water pump.” IET Renewable Power Generation, Vol.13,No.3, 2019, pp.389-398.
  • [8] R. Kumar, B. Singh. “Single stage solar PV fed brushless DC motor driven water pump.” IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 5, No 3, 2017, pp.1377-1385.
  • [9] O. Aydogmus. “Design of a solar motor drive system fed by a direct-connected photovoltaic array.” Advances in Electrical and Computer Engineering, Vol.12,No.3, 2012, pp. 53-58.
  • [10] A. Gupta, Y.K. Chauhan, K. Pachauri. “A comparative investigation of maximum power point tracking methods for solar PV systems.” Solar Energy ,Vol.136, 2016, pp.236-253,
  • [11] T. Esram, P.L. Chapman. “Comparison of photovoltaic array maximum power point tracking techniques,” IEEE Trans Energy Conversion, Vol.22, 2007, pp.439-449, 10.1109/TEC.2006.874230.
  • [12] R. Celikel, A. Gundogdu. “Comparison of PO and INC MPPT methods using FPGA in-the-loop under different radiation conditions. Balkan Journal of Electrical and Computer Engineering, Vol.9, No.22,2021, pp.114-122.
  • [13] Z. Bi, J. Ma, K.L. Man, J.S. Smith, Y. Yue. H. Wen. “An Enhanced 0.8VOC-Model-Based Global Maximum Power Point Tracking Method for Photovoltaic Systems,” IEEE Transactions on Industry Applications, Vol.56, 2020, pp.6825-6834, doi:0.1109/TIA.2020.3019364.
  • [14] A. A. Kulaksız, R. Akkaya. “A genetic algorithm optimized ANN-based MPPT algorithm for a stand-alone PV system with induction motor drive.” Solar Energy, Vol.86, No.9, 2012, pp.2366-2375.
  • [15] H. Renaudineau, F. Donatantonio, J. Fontchastagner, G. Petrone, G. Spagnuolo, J. P. Martin, S. Pierfederici. “A PSO-based global MPPT technique for distributed PV power generation.” IEEE Transactions on Industrial Electronics, Vol.62, No.2, 2014, pp.1047-1058.
  • [16] S. Mohanty, B. Subudhi, P. K. Ray. A new MPPT design using grey wolf optimization technique for photovoltaic system under partial shading conditions. IEEE Transactions on Sustainable Energy, Vol.7, No.1, 2015, pp.181-188.
  • [17] M. Kermadi, Z. Salam, J. Ahmed, E.M. Berkouk, “An effective hybrid maximum power point tracker of photovoltaic arrays for complex partial shading conditions,” IEEE Transactions on Industrial Electronics, Vol.66, 2018, pp. 6990-7000.
  • [18] V. Pallavi, R. Gar, P. Mahajan, “Asymmetrical interval type-2 fuzzy logic control based MPPT tuning for PV system under partial shading condition,” ISA transactions, Vol. 100, 2020, pp. 251-263,
  • [19] Z. Zhao, R. Cheng, B. Yan, J. Zhang, Z. Zhang, M. Zhang, L.L. Lai, “A dynamic particles MPPT method for photovoltaic systems under partial shading conditions,” Energy Conversion and Management, Vol. 220 , 2020.
  • [20] Z. Kesilmiş, , M.A. Karabacak, M. Aksoy, “A Novel MPPT Method Based on Inflection Voltages,” Journal of Cleaner Production, Vol.266, 2020, pp.121473.
  • [21] L. Avila, M.D. Paula, M. Trimboli, I. Carluchod, “Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids,” Applied Soft Computing, Vol.97, 2020, 106711.
  • [22] K. Punitha, D. Devaraj, S. Sakthivel, “Artificial neural network based modified incremental conductance algorithm for maximum power point tracking in photovoltaic system under partial shading conditions,” Energy, Vol.62, 2013, pp.330-340.
  • [23] M.A. Ziad, N.V. Quynhc, S. Dadfar, H. Nakamuraf, “Variable step size perturb and observe MPPT controller by applying θ-modified krill herd algorithm-sliding mode controller under partially shaded conditions,” Journal of Cleaner Production, Vol.271, 2020, 122243.
  • [24] D. Yousri, T.S. Babu, D. Allam, V. K. Ramachandaramurthy, M.B. Etiba, “A novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions,” IEEE Access. Vol.7, 2019, pp.121432-121445.
  • [25] J. Yuan, Z. Zhao, Y. Liu, B. He, L. Wang, B. Xie, Y. Gao, “DMPPT Control of Photovoltaic Microgrid Based on Improved Sparrow Search Algorithm,” IEEE Access, Vol.9, 2021, pp.16623-16629.
  • [26] S. Immad, S. Mekhilef, T. K. Soon, “Maximum Power Point Tracking using Modified Butterfly Optimization Algorithm for Partial Shading, Uniform Shading and Fast Varying Load Conditions,” IEEE Transactions on Power Electronics, Vol.36, 2021, pp.5569-5581.
  • [27] S., Immad, S. Mekhilef, T.K. Soon, “Improved Team Game Optimization Algorithm Based Solar MPPT with Fast Convergence Speed and Fast Response to Load Variations,” IEEE Transactions on Industrial Electronics, Vol.68, 2020, pp.7093 –7103.
  • [28] M. Majad, A.F. Mirza, Q. Ling. “Harris hawk optimization-based MPPT control for PV Systems under Partial Shading Conditions.” Journal of Cleaner Production, Vol.27, 2020, 122857.
  • [29] A. Fathy, R. Hegazy, D. Yousri. “A robust global MPPT to mitigate partial shading of triple-junction solar cell-based system using manta ray foraging optimization algorithm,” Solar Energy, Vol.207, 2020, pp.305-316.
  • [30] A.F. Mirza, M. Mansoor, Q. Ling, B. Yin, M.Y. Javed. “A Salp-Swarm Optimization based MPPT technique for harvesting maximum energy from PV systems under partial shading conditions,” Energy Conversion and Management, Vol.209, 2020, 112625.
  • [31] M. A. Karabacak, Z. Kesilmiş, M. Aksoy, “A novel two-stage MPPT method based on inflection voltages.” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol.44, No.1, 2022, pp.591-612.
  • [32] M. E. Başoğlu. “An enhanced scanning-based MPPT approach for DMPPT systems.” International Journal of Electronics, Vol.105, No.12, 2018, pp.2066-2081.
  • [33] Y. H. Liu, J. H. Chen, J. W. Huang. “Global maximum power point tracking algorithm for PV systems operating under partially shaded conditions using the segmentation search method.” Solar Energy, Vol.103, 2014, pp.350-363.
  • [34] V. Jately, S. Bhattacharya, B. Azzopardi, A. Montgareuil, J, Joshi, S. Arora.). “Voltage and current reference based MPPT under rapidly changing irradiance and load resistance.” IEEE Transactions on Energy Conversion, Vol.36, No.3, 2021, pp.2297-2309.
  • [35] R. Celikel, M. Yilmaz, A. Gundogdu. “A voltage scanning-based MPPT method for PV power systems under complex partial shading conditions.” Renewable Energy, Vol.184, 2022, pp.361-373.
  • [36] K. Astitva, et al. "Grey Wolf Optimization Inspired Maximum Power Extraction from SPV System for Water Pumping Application." 2022 International Conference for Advancement in Technology (ICONAT). IEEE, 2022.
  • [37] H. K. V. Gadiraju, V. R. Barry, R. K. Jain. “Improved Performance of PV Water Pumping System Using Dynamic Reconfiguration Algorithm Under Partial Shading Conditions.” CPSS Transactions on Power Electronics and Applications, Vol.7, No.2, 2022, pp.206-215.
  • [38] M. Kashif, B. Singh. “Modified Active-Power MRAS Based Adaptive Control With Reduced Sensors for PMSM Operated Solar Water Pump.” IEEE Transactions on Energy Conversion, Vol.38, No.1, 2022, pp.38-52.
  • [39] S. G. Malla, P. Malla, J. M. R. Malla, R. Singla, P. Choudekar, R. Koilada, M. K. Sahu. “”Whale optimization algorithm for PV based water pumping system driven by BLDC motor using sliding mode controller.” IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol.10, No.4, 2022, pp.4832-4844.
  • [40] A. Mudlapur, V. V. Ramana, R. V. Damodaran, V. Balasubramanian, S. Mishra. Effect of partial shading on PV fed induction motor water pumping systems. IEEE Transactions on Energy Conversion, Vol.34, No.1, 2018, pp.530-539.
  • [41] A. Ammar, K. Hamraoui, M. Belguellaoui, A. Kheldoun. “Performance enhancement of photovoltaic water pumping system based on BLDC Motor under partial shading condition.” Engineering Proceedings, Vol.14, No.1, 2022.
  • [42] J. Arfaoui, H. Rezk, M. Al-Dhaifallah, F. Elyes, M. Abdelkader. “Numerical performance evaluation of solar photovoltaic water pumping system under partial shading condition using modern optimization.”,- Mathematics, Vol.7, No.11, 2019, pp. 1123.
  • [43] X. Li, H. Wen, Y. Hu, L. Jiang. “Drift-free current sensorless MPPT algorithm in photovoltaic systems.” Solar Energy, Vol.177, 2019, pp.118-126.
  • [44] H. Phillips-Brenes, R. Pereira-Arroyo, R. Rímolo-Donadío, M. Muñoz-Arias. “Current-Sensorless Control Strategy for the MPPT of a PV Cell: An Energy-Based Approach.” International Journal of Photoenergy, 2022.
  • [45] D. Cortes-Vega, H. Alazki, J. L. Rullan-Lara. “Current Sensorless MPPT Control for PV Systems Based on Robust Observer.” Applied Sciences, Vol.12, No.9, 2022, pp.4360.
  • [46] É. A. Tonolo, J. W. M. Soares, E. F. R. Romaneli, A. A. Badin.Current “Sensorless MPPT with a CCM Interleaved Boost Converter for Renewable Energy System.” IEEE Transactions on Power Electronics, Vol.37, No.9, 2022, pp.11296-11304.
There are 46 citations in total.

Details

Primary Language English
Subjects Electrical Engineering (Other)
Journal Section Araştırma Articlessi
Authors

Yunus Atagün 0009-0006-0039-5972

Reşat Çelikel 0000-0002-9169-6466

Early Pub Date March 23, 2024
Publication Date March 1, 2024
Submission Date January 12, 2024
Acceptance Date February 19, 2024
Published in Issue Year 2024 Volume: 12 Issue: 1

Cite

APA Atagün, Y., & Çelikel, R. (2024). A Sensorless MPPT Approach For PV Pumb System Used BLDC Motor. Balkan Journal of Electrical and Computer Engineering, 12(1), 27-35. https://doi.org/10.17694/bajece.1418954

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