Embedded-Based Smart Solar Grid of 2 × 2 Monitoring System Using Smart Sensors

  • Rohit Samkaria
  • Rajesh Singh
  • Anita Gehlot
  • M. S. Yadav
  • Ashok Kumar
  • Varchas Choudhary
  • Sushabhan Choudhury
  • Rupendra Pachauri
  • Anvesh Aggarwal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)

Abstract

In this research an embedded-based procedure for automatic fault detection and supervision in 2 × 2 PV array with possible fault allocation by using voltage and current parameter through embedded. The supervision system is developed with LabView which is acting as real-time data logger. The approach has been validated with experimental setup, and the system is designed with low-cost embedded-based solution to provide reliable and secure monitoring of PV system. The system include the parameter extractions technique to calculate main PV system parameter supervision based method analysis the output of voltage and current sensor present in the solar PV array. In the experimental result, fault detection and supervision system has shown the high accuracy of fault detection and fault classification on the test.

Keywords

Solar panel Current sensor Arduino control LabView 

References

  1. 1.
    Batista, N. C., et al. “Photovoltaic and wind energy systems monitoring and building/home energy management using ZigBee devices within a smart grid.” Energy 49 (2013): 306–315.Google Scholar
  2. 2.
    Fuentes, M., et al. “Design of an accurate, low-cost autonomous data logger for PV system monitoring using Arduino™ that complies with IEC standards.” Solar Energy Materials and Solar Cells 130 (2014): 529–543.Google Scholar
  3. 3.
    Purusothaman, SRR Dhiwaakar, et al. Implementation of Arduino-based multi-agent system for rural Indian microgrids.” Innovative Smart Grid Technologies-Asia (ISGT Asia), 2013 IEEE. IEEE, 2013.Google Scholar
  4. 4.
    Papageorgas, P., et al. “Smart Solar Panels: In-situ monitoring of photovoltaic panels based on wired and wireless sensor networks.” Energy Procedia 36 (2013): 535–545.Google Scholar
  5. 5.
    Hertzog, P., and A. Swart. “A customizable energy monitoring system for renewable energy systems.” Presented at the SAUPEC 2015, Resolution Circle Towers in Napier Road in Milpark—Johannesburg (2015).Google Scholar
  6. 6.
    Touati, Farid, et al. “Investigation of solar PV performance under Doha weather using a customized measurement and monitoring system.” Renewable Energy 89 (2016): 564–577.Google Scholar
  7. 7.
    Peshin, Shwetang, et al. “A photovoltaic (pv) array monitoring simulator.” Modeling, Identification, and control, int. conf. on, Innsbruck, Austria. 2015.Google Scholar
  8. 8.
    Papageorgas, P., et al. “Wireless sensor networking architecture of polytropon: An open source scalable platform for the smart grid.” Energy Procedia 50 (2014): 270–276.Google Scholar
  9. 9.
    Dehwah, Ahmad H., Mustafa Mousa, and Christian G. Claudel. “Lessons learned on solar powered wireless sensor network deployments in urban, desert environments.” Ad Hoc Networks 28 (2015): 52–67.Google Scholar
  10. 10.
    Tushar, Wayes, et al. “Smart grid testbed for demand focused energy management in end user environments.” arXiv preprint arXiv:1603.06756 (2016).
  11. 11.
    Armendariz, Mikel, et al. “A co-simulation platform for medium/low voltage monitoring and control applications.” Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES. IEEE, 2014.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Rohit Samkaria
    • 1
  • Rajesh Singh
    • 1
  • Anita Gehlot
    • 1
  • M. S. Yadav
    • 1
  • Ashok Kumar
    • 1
  • Varchas Choudhary
    • 1
  • Sushabhan Choudhury
    • 1
  • Rupendra Pachauri
    • 1
  • Anvesh Aggarwal
    • 1
  1. 1.Electronics Instrumentation and Control Engineering Department, College of Engineering StudiesUniversity of Petroleum and Energy StudiesDehradunIndia

Personalised recommendations