Abstract
This research paper examines the feasibility of using solar energy as an alternative power source for a water pump motor in rural areas that have limited access to electricity and conventional fuels. The proposed system comprises solar cells or photovoltaic (PV) modules, a boost converter, a single-phase inverter, and an electric motor connected to a pump. The problems associated with the primary source of energy, i.e., solar radiation, are changing dynamics, nonlinearities, and uncertainties due to the occurrence of daily or seasonal variations. To manage these, the proposed research employs advanced control strategies and industrial electronics in the system. The technique of maximum power point tracking (MPPT) is implemented in order to optimize the system's efficiency. The simulation environment used to study the proposed system is designed via MATLAB/Simulink 2022a software. The experimental study suggests that the system has the potential to conserve energy and offer an effective irrigation solution in rural areas.
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M.A. Green, Solar cells: operating principles, technology, and system applications. IEEE J. Sel. Topics Quantum Electron. 6(6), 1354–1360 (2000)
H. Wang, Y. Li, X. Wu, Challenges and solutions in autonomous vehicle control systems. IEEE Trans. Intell. Transp. Syst. 19(12), 3929–3939 (2018)
A.M. Eltamaly, A review of maximum power point tracking algorithms for wind and solar photovoltaic systems. Renew. Sustain. Energy Rev. 76, 839–854 (2017)
P. Kumar, P. Kumar, A. Sharma, An optimized MPPT technique for solar water pumping system, in 2016 IEEE International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEES), Putrajaya, Malaysia (2016), pp. 250–253
A.R. Chilipi, R.M. Kamat, Performance analysis of solar water pumping system with maximum power point tracking, in 2018 International Conference on Sustainable Energy and Future Electric Transportation (SEFET), Pune, India (2018), pp. 1–6
A.M. Alsharif, A.I. Alolah, A.A. Abdelsalam, Analysis of maximum power point tracking (MPPT) techniques for hybrid renewable energy systems, in 2018 2nd International Conference on Power and Embedded Drive Control (ICPEDC), Tlemcen, Algeria (2018), pp. 1–6
W. Jia et al., A survey of machine learning for big data processing. IEEE Access 8, 205161–205191 (2020). https://doi.org/10.1109/ACCESS.2020.3030297
K. Gheysari, M.R. Gholamian, M. Keshavarz-Ghorabaee, A fuzzy decision-making model for green supplier selection: a case study of the oil industry. IEEE Access 8, 173026–173034 (2020). https://doi.org/10.1109/ACCESS.2020.3020584
X. Wang, Y. Li, Z. Li, Y. Zhang, Machine learning for energy consumption prediction: a review. IEEE Access 7, 88393–88404 (2019). https://doi.org/10.1109/ACCESS.2019.2921129
M. Thabet, T.Y. Al-Naffouri, M.S. Alouini, Reinforcement learning for wireless networks: a comprehensive survey. IEEE Commun. Surv. Tutor. 23(1), 568–612 (2021). https://doi.org/10.1109/COMST.2020.3007624
M.A. Mirzaei, M. Abedi, P. Ahmadi, IoT-based intelligent transportation systems: a comprehensive review. IEEE Internet Things J. 7(5), 3875–3899 (2020). https://doi.org/10.1109/JIOT.2019.2956005
A.A. Eldeiry, A. Abou-Elnour, A. Elsaid, A.M. Alsumaiti, A novel method for multi-objective optimal sizing of renewable energy systems for residential applications. IEEE Access 8, 160876–160889 (2020). https://doi.org/10.1109/ACCESS.2020.3024002
K. Chen, K. Xu, H. Wang, Z. Zhang, A survey on machine learning for intelligent transportation systems: applications, challenges, and opportunities. IEEE Trans. Intell. Transp. Syst. 22(2), 760–780 (2021). https://doi.org/10.1109/TITS.2020.2994271
S.J. Alam, A.H.M. Zahirul Alam, M.A. Hannan, A. Mohamed, A comparative study of incremental conductance and perturb and observe MPPT algorithms for PV systems, in 2016 IEEE Region 10 Conference (TENCON), Singapore (2016), pp. 2889–2892
K.H. Hussein, I. Muta, T. Hoshino, Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. IEE Proc. Gener. Transm. Distrib. 142(1), 59–64 (1995)
U. Sharma, S. Kumar, B. Singh, Solar array fed water pumping system using induction motor drive, in 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), Delhi, India (2016)
J. Kulkarni, N. Kumar, B. Singh, Design and control of medium-voltage multilevel converter for direct grid integration of photovoltaic system. J. Inst. Eng. India Ser. B 102, 203–212 (2021)
M.H. Krishna, S. Manmadharao, Grid integrated solar irrigation system by using BLDC motor pump set, in 2018 International Conference on Inventive Research in Computing Applications (ICIRCA) (2018)
A. Bhowmik, et al., Renewable Energy for Sustainable Development in India, Review on Status, Potential and Policies (2012)
I. Dincer, Renewable energy and sustainable development: a crucial review. Renew. Sustain. Energy Rev. 4, 157–175 (2000)
J. Chang et al., A review on the energy production, consumption, and prospect of renewable energy in China. Renew. Sustain. Energy Rev. 7, 453–468 (2003)
D. Kraemer et al., High-performance flat-panel solar thermoelectric generators with high thermal concentration. Nat. Mater. 10, 532–538 (2011)
A. Kay, M. Grätzel, Low cost photovoltaic modules based on dye sensitized nanocrystalline titanium dioxide and carbon powder. Sol. Energy Mater. Sol. Cells 44, 99–117 (1996)
M.A. Green et al., Solar cell efficiency tables (version 39). Prog. Photovolt. Res. Appl. 20, 12–20 (2011)
T. Chow, A review on photovoltaic/thermal hybrid solar technology. Appl. Energy 87, 365–379 (2010)
M. Huang et al., Microencapsulated phase change slurries for thermal energy storage in a residential solar energy system. Renew. Energy 36, 2932–2939 (2011)
J.W. Kimball et al., A system design approach for unattended solar energy harvesting supply. IEEE Trans. Power Electron. 24, 952–962 (2009)
H. Mousazadeh, A. Keyhani, Optimum sizing of stand-alone photovoltaic systems considering reliability and uncertainty in load demand and renewable energy resources. IEEE Trans. Sustain. Energy 4(2), 427–435 (2013). https://doi.org/10.1109/TSTE.2012.2227795
J. Kulkarni, N. Kumar, B. Singh, Control and design of seven-level cascaded multilevel converter for transformer-less large-scale photovoltaic integration. J. Inst. Eng. India Ser. B 102, 203–212 (2020)
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This work is supported by the Centre of Excellence for Electric Vehicle and Related Technologies, Electrical Engineering Department, Delhi Technological University, Delhi.
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Bojang, D., Nhantumbo, E., Verma, M. et al. PV-Fed Single-Phase Induction Motor for Irrigation Application. J. Inst. Eng. India Ser. B 105, 335–342 (2024). https://doi.org/10.1007/s40031-023-00975-z
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DOI: https://doi.org/10.1007/s40031-023-00975-z