A Hybrid Solar Photovoltaic and Wind Turbine Power Generation for Stand-Alone System with IoT-Based Monitoring and MPPT Control

References

• N. Priyadarshi, V. K. Ramachandaramurthy, S. Padmanaban and F. Azam, “An ant colony optimized MPPT for stand-alone hybrid PV-wind power system with single Cuk converter,” Energies, vol. 12, no. 1, pp. 167, Jan. 2019. DOI: 10.3390/en12010167.
   Web of Science ®Google Scholar
• T. Abderrahim, T. Abdelwahed and M. Radouane, “Improved strategy of an MPPT based on the sliding mode control for a PV system,” Int. J. Electr. Comput. Eng., vol. 10, no. 3, pp. 2088–8708, Jun. 2020. DOI: 10.11591/ijece.v10i3.pp3074-3085.
   Google Scholar
• A. H. G. Malar, C. A. Kumar and A. G. Saravanan, “IoT based sustainable wind green energy for smart cites using fuzzy logic based fractional order darwinian particle swarm optimization,” Measurement, vol. 166, pp. 108208, Dec. 2020. DOI: 10.1016/j.measurement.2020.108208.
   Web of Science ®Google Scholar
• K. Priyadharsini, J. R. Dinesh Kumar, A. Srikanth, V. Sounddar and M. Senthamilselvan, “Elegant method to improve the efficiency of remotely located solar panels using IoT,” Mater. Today: Proc., vol. 45, pp. 8094–8104, 2021. DOI: 10.1016/j.matpr.2021.01.572.
   Google Scholar
• J. Z. Yan, W. H. Pan, H. H. Wu, T. Hsu and C. L. Wei, “Photovoltaic energy harvesting chip with P&O maximum power point tracking circuit and novel pulse-based multiplier,” IEEE Trans. Power Electron., vol. 36, no. 11, pp. 12867–12876, Nov. 2021. DOI: 10.1109/TPEL.2021.3082533.
   Web of Science ®Google Scholar
• H. G. Ali, R. Vilanova and J. Pelez-Restrepo, “Perturb & observe based adaptive sliding mode MPPT control of solar photovoltaic system,” presented at the 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), Madrid, Spain, Jun. 2020, pp. 1–6. DOI: 10.1109/EEEIC/ICPSEurope49358.2020.9160539.
   Google Scholar
• P. K. Atri, P. S. Modi and N. S. Gujar, “Comparison of different MPPT control strategies for solar charge controller,” presented at the 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and Its Control (PARC). Mathura, India, Feb. 2020, pp. 65–69. DOI: 10.1109/PARC49193.2020.236559.
   Google Scholar
• M. Rokonuzzaman, et al., “Iot-enabled high efficiency smart solar charge controller with maximum power point tracking—design, hardware implementation and performance testing,” Electronics, vol. 9, no. 8, pp. 1267, 2020. DOI: 10.3390/electronics9081267.
   Web of Science ®Google Scholar
• S. Lalouni, D. Rekioua, K. Idjdarene and A. M. Tounzi, “An improved MPPT algorithm for wind energy conversion system,” J. Electr. Syst., vol. 10, no. 4, pp. 484–494, Jan. researchgate.net/publication/275154. 2014. 778_An_improved_MPPT_algorithm_for_wind_energy_conversion_system.
   Google Scholar
• S. A. Touil, N. Boudjerda, A. Boubakir and K. El Khamlichi Drissi, “A sliding mode control and artificial neural network based MPPT for a direct grid‐connected photovoltaic source,” Asian J. Control, vol. 21, no. 4, pp. 1892–1905, Jan. 2019. DOI: 10.1002/asjc.2007.
   Web of Science ®Google Scholar
• S. Divyapriya, A. Amudha and R. Vijayakumar, “Design and implementation of grid connected solar/wind/diesel generator powered charging station for electric vehicles with vehicle to grid technology using IoT,” CST, vol. 13, no. 1, pp. 59–67, Feb. 2018. DOI: 10.2174/1574362413666180226111921.
   Google Scholar
• L. Hu, et al., “Sliding mode extremum seeking control based on improved invasive weed optimization for MPPT in wind energy conversion system,” Appl. Energy, vol. 248, pp. 567–575, Aug. 2019. DOI: 10.1016/j.apenergy.2019.04.073.
   Web of Science ®Google Scholar
• N. Bharathiraja, M. Shobana, S. Manokar, M. Kathiravan, A. Irumporai and S. Kavitha, “The smart automotive webshop using high end programming technologies,” in Intelligent Communication Technologies Virtual Mobile Networks, Singapore: Springer, 2023, pp. 811–822. DOI: 10.1007/978-981-19-1844-5_64.
   Google Scholar
• Y. Wang, et al., “A new design method for solar energy harvesting system based on neural network,” in 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019, pp. 1–4. DOI: 10.1109/ISCAS.2019.8702696.
   Google Scholar
• H. Sharma, A. Haque and Z. A. Jaffery, “Design & analysis of PWM & MPPT power converters for energy harvesting IoT nodes,” in 2019 International Conference on Power Electronics, Control and Automation (ICPECA), New Delhi, India, Nov. 2019, pp. 1–5. DOI: 10.1109/ICPECA47973.2019.8975396.
   Google Scholar
• L. Ma and Y. A. Lu, “Intelligent charging control method of shared vehicle based on MPPT algorithm in the environment of internet of things,” J. Ambient Intell. Hum. Comput., pp. 1–9, Jan. 2021. DOI: 10.1007/s12652-020-02812-3.
   Web of Science ®Google Scholar
• A. Nadeem, H. A. Sher, A. F. Murtaza and N. Ahmed, “An online fractional open-circuit voltage maximum power point tracking (MPPT) algorithm based on sliding mode control,” in 2020 International Symposium on Recent Advances in Electrical Engineering & Computer Sciences (RAEE & CS), Islamabad, Pakistan, Oct. 2020, vol. 5, pp. 1–6. DOI: 10.1109/RAEECS50817.2020.9265809.
   Google Scholar
• A. Katyal, D. Pathak and P. Gaur, “An IoT based real-time detection and notification system for an economical solar MPPT model,” In 2021 International Conference on Industrial Electronics Research and Applications (ICIERA), New Delhi, India, Dec. 2021, pp. 1–6. DOI: 10.1109/ICIERA53202.2021.9726727.
   Google Scholar
• A. Sivakumar, et al., “IoT based design and implementation of low-cost monitoring system for hybrid solar-wind power generation system,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India. Oct. 2021, pp. 1–6. DOI: 10.1109/ICOSEC51865.2021.9591723.
   Google Scholar
• A. Rajaram and K. Sathiyaraj, “An improved optimization technique for energy harvesting system with grid connected power for green house management,” J. Electr. Eng. Technol., vol. 17, no. 5, pp. 2937–2949, June 2022. DOI: 10.1007/s42835-022-01033-2.
   Web of Science ®Google Scholar
• M. K. Senapati, C. Pradhan, S. R. Samantaray and P. K. Nayak, “Improved power management control strategy for renewable energy‐based DC micro‐grid with energy storage integration,” IET Gener. Transm. Distrib., vol. 13, no. 6, pp. 838–849, Mar. 2019. DOI: 10.1049/iet-gtd.2018.5019.
   Web of Science ®Google Scholar
• M. K. Senapati, C. Pradhan and R. K. Calay, “A computational intelligence based maximum power point tracking for photovoltaic power generation system with small‐signal analysis,” Optim. Control Appl. Methods, vol. 44, no. 2, pp. 617–636, 2023. DOI: 10.1002/oca.2798.
   Web of Science ®Google Scholar
• N. Bharathiraja, P. Padmaja, S. B. Rajeshwari, J. S. Kallimani, A. M. Buttar and T. B. Lingaiah, “Elite oppositional farmland fertility optimization based node localization technique for wireless networks,” Wireless Commun. Mobile Comput., vol. 2022, pp. 1–9, 2022. DOI: 10.1155/2022/5290028.
   Web of Science ®Google Scholar
• R. K. Vibhute and R. S. Desai, “Efficient MPPT of PV cell & wind for internet of things,” Int. J. Appl. Eng. Res., vol. 13, no. 12, pp. 10406–10411, 2018. https://www.ripublication.com/ijaer18/ijaerv13n12_41.pdf.
   Google Scholar
• M. Billel, S. Abdallah, A. Yassine and D. Djalel, “Maximum power extraction (SMC, P&O) from wind energy system based on reliable control,” Revue Des Sciences et de la Technologie, vol. 6, pp. 15, Jan. 2015. https://www.researchgate.net/publication/274456493_Maximum_power_extraction_SMC_PO_from_wind_energy_system_based_on_reliable_control.
   Google Scholar
• R. N. Shaw, P. Walde and A. Ghosh, “IOT based MPPT for performance improvement of solar PV arrays operating under partial shade dispersion,” in 2020 IEEE 9th Power India International Conference (PIICON), Mar. 2020, pp. 1–4. DOI: 10.1109/PIICON49524.2020.9112952.
   Google Scholar
• N. Rouibah, L. Barazane, M. Benghanem and A. Mellit, “IoT‐based low‐cost prototype for online monitoring of maximum output power of domestic photovoltaic systems,” ETRI J., vol. 43, no. 3, pp. 459–470, Apr. 2021. DOI: 10.4218/etrij.2019-0537.
   Web of Science ®Google Scholar
• D. Vinod, N. Bharathiraja, M. Anand and A. Antonidoss, “An improved security assurance model for collaborating small material business processes,” Mater. Today: Proc., vol. 46, no. 9, pp. 4077–4081, 2021. DOI: 10.1016/j.matpr.2021.02.611.
   Google Scholar
• S. Shongwe and M. Hanif, “Comparative analysis of different single-diode PV modeling methods,” IEEE J. Photovolt., vol. 5, no. 3, pp. 938–946, May 2015. DOI: 10.1109/JPHOTOV.2015.2395137.
   Web of Science ®Google Scholar
• Raj, Kumar, S.K., Singh, Vinod, “Solar photovoltaic modeling and simulation: as a renewable energy solution,” Energy Rep., vol. 4, pp.701–712, Nov. 2018. DOI: 10.1016/j.egyr.2018.09.008.
   Web of Science ®Google Scholar
• S. Pradhan, B. Singh, B. K. Panigrahi and S. Murshid, “A composite sliding mode controller for wind power extraction in remotely located solar PV–wind hybrid system,” IEEE Trans. Ind. Electron., vol. 66, no. 7, pp. 5321–5331, Jul. 2019. DOI: 10.1109/TIE.2018.2868009.
   Web of Science ®Google Scholar
• F. E. Z. Lamzouri, E. M. Boufounas and A. El Amrani, “Efficient energy management and robust power control of a stand-alone wind-photovoltaic hybrid system with battery storage,” J. Energy Storage, vol. 42, pp. 103044, Oct. 2021. DOI: 10.1016/j.est.2021.103044.
   Web of Science ®Google Scholar
• M. Al-Dhaifallah, A. M. Nassef, H. Rezk and K. S. Nisar, “Optimal parameter design of fractional order control-based INC-MPPT for PV system,” Solar Energy, vol. 159, pp. 650–664, Jan. 2018. DOI: 10.1016/j.solener.2017.11.040.
   Web of Science ®Google Scholar