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Recent Trends in Image and Signal Processing in Computer Vision pp 55–65Cite as

A Study of Remote Monitoring Methods for Solar Energy System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1124))

Abstract

In this paper, we have discussed various techniques and methods of remote monitoring. The aim of this paper is to update the readers about the latest techniques of remote monitoring in solar systems and their advantages and disadvantages. In order to prevent the damage of photovoltaic cells used in solar energy generation and its forecasting, it is essential to continuously monitor the conditions of PV panels through mounted sensors. We also have discussed how developed algorithms for remote monitoring of solar energy systems can increase the overall efficiency of the solar energy systems to overcome the critical issue of the energy sector.

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References

  1. World population. https://en.wikipedia.org/wiki/World_population

  2. O. Deveci, C. Kasnakoglu, Control of a photovoltaic system operating at maximum power point and constant output voltage under different atmospheric conditions. Int. J. Comput. Electr. Eng. 7(4), 240–247 (2015)

    Article  Google Scholar 

  3. Energy policy of India. https://en.wikipedia.org/wiki/Energy_policy_of_India

  4. Vidhya (2015) Energy storage management in grid connected solar photovoltaic system. Int. J. Eng. Res. Appl. 5(4), 1–5

    Google Scholar 

  5. M.N. Akhter et al., Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques. IET Renew. Power Gener. 13(7), 1009–1023 (2019)

    Article  Google Scholar 

  6. W. Xiaocong, S. Qiang, The Research on Mppt Intelligent Solar Charging System. ISES Solar World Congress. 4, 172–1574 (2007)

    Google Scholar 

  7. M. Kolhe, Techno-economic optimum sizing of a stand-alone solar photovoltaic system. IEEE Trans. Energy Convers. 24(2), 511–519 (2009)

    Article  Google Scholar 

  8. A. Datta, I. Karakoti, Solar resource assessment using GIS and remote sensing techniques, in 11th ESRI India User Conference (2010), pp. 1–20

    Google Scholar 

  9. J. Yoo et al., Look-ahead energy management of a grid-connected residential PV system with energy storage under time-based rate programs. Energies 5, 1116–1134 (2012)

    Article  Google Scholar 

  10. N. Jabalameli, M.A.S. Masoum, Battery storage unit for residential rooftop PV system to compensate impacts of solar variations. Electr. Electron. Eng. Int. J. (ELELIJ). 2(4), 55–70 (2013)

    Google Scholar 

  11. G. Anil et al., PI Controller based MPPT for a PV System. IOSR J. Electr. Electron. Eng. (IOSR-JEEE). 6(5), 10–15 (2013)

    Article  Google Scholar 

  12. C.S. Murdoch, S.N. Reynoso, Design and implementation of a MPPT circuit for a solar UAV. IEEE Latin Am. Trans. 11(1), 108–111 (2013)

    Article  Google Scholar 

  13. F.T. Ke, Smart agriculture based on cloud computing and IOT. J. Convergence Inf. Technol. (JCIT). 8(2), 1–7 (2013)

    Google Scholar 

  14. N. Lakshmi Tirupathamma et al., Matlab simulation of grid connected PV system using hysteresis current control inverter. Int. J. Res. Stud. Comput. Sci. Eng. (IJRSCSE). 1(5), 13–20 (2014)

    Google Scholar 

  15. A. Parikh et al., Solar panel condition monitoring system based on wireless sensor network. Int. J. Sci. Eng. Technol. Res. (IJSETR). 4(12), 4320–4324 (2015)

    Google Scholar 

  16. R. Vignesh, A. Samydurai, A survey on IoT system for monitoring solar panel. IJSDR 1(11), 114–115 (2016)

    Google Scholar 

  17. Y.-T. Lee et al., An integrated cloud-based smart home management system with community hierarchy. IEEE Trans. Consum. Electron. 62(1), 1–9 (2016)

    Article  Google Scholar 

  18. S. Kurundkar et al., Remote monitoring of solar inverter (an application of IOT). Am. J. Eng. Res. (AJER). 6(7), 70–74 (2017)

    Google Scholar 

  19. R. Vignesh, A. Samydurai, Automatic monitoring and lifetime detection of solar panels using internet of things. Int. J. Innov. Res. Comput. Commun. Eng. 5(4), 7014–7020 (2017)

    Google Scholar 

  20. S. Patila et al., Solar energy monitoring system using Iot. Indian J. Sci. Res. 15(2), 149–155 (2017)

    Google Scholar 

  21. H. Li et al., An overall distribution particle swarm optimization MPPT algorithm for photovoltaic system under partial shading. IEEE Trans. Ind. Electron. (2018)

    Google Scholar 

  22. S. Madhubala et al., Solar POWER based remote monitoring and control of industrial parameters using IoT. Int. Res. J. Eng. Technol. (IRJET). 5(3), 3231–3236 (2018)

    Google Scholar 

  23. M. Katyarmal et al., Solar power monitoring system using IoT. Int. Res. J. Eng. Technol. (IRJET). 5(3), 3431–3432 (2018)

    Google Scholar 

  24. A. López-Vargas et al., IoT application for real-time monitoring of Solar Home Systems based on Arduino with 3G connectivity. IEEE Sens. J. 19(2), 679–691 (2019)

    Article  Google Scholar 

  25. Telemetry. https://en.wikipedia.org/wiki/Telemetry

  26. M.G. Villalva et al., Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Trans. Power Electron. 24(5), 1198–1208 (2009)

    Article  Google Scholar 

  27. A. Hammera et al., Solar energy assessment using remote sensing technologies. Remote Sens. Environ. 86, 423–432 (2003)

    Article  Google Scholar 

  28. B.A. Kumar, Solar power systems web monitoring. Renew. Energy Technol. (SoRET) (2011)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab, India

    Gurcharan Singh

  2. PIT, GTB Garh Moga, Moga, Punjab, India

    Amit Kumar Manocha

Authors
  1. Gurcharan Singh
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  2. Amit Kumar Manocha
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Corresponding author

Correspondence to Gurcharan Singh .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    Shruti Jain

  2. Department of Biomedical Engineering, North-Eastern Hill University, Shillong, Meghalaya, India

    Sudip Paul

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Singh, G., Manocha, A.K. (2020). A Study of Remote Monitoring Methods for Solar Energy System. In: Jain, S., Paul, S. (eds) Recent Trends in Image and Signal Processing in Computer Vision. Advances in Intelligent Systems and Computing, vol 1124. Springer, Singapore. https://doi.org/10.1007/978-981-15-2740-1_4

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