Skip to main content

In-campus Generator-Substation Monitoring and Control Using LabVIEW

  • Conference paper
  • First Online:
  • 2174 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 479))

Abstract

The various parameters which are used to measure the generators (which are used in substation) are their input power (in KVA-kilo volt amperes), terminal voltage, current, and power factor. Various methods came into existence in order to measure these parameters and some of them are by the use of Heffron–Phillips model, load model, and so on. But here we are using LabVIEW software as DATA LOGGER which will be helpful to monitor these given parameters more effectively and efficiently. Proteus simulation model is also developed to check its accuracy. In order to monitor these parameters, received data will be again transmitted through virtual serial port at 9600 baud rate and it is being received and displayed in the graphical user interface. This system will be easy to use with the help of this software and further studies can also be conducted so as to make it easier to use in the future years.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Karrari, M., and O. P. Malik. “Identification of physical parameters of a synchronous generator from online measurements.” Energy Conversion, IEEE Transactions on 19.2 (2004): 407–415.

    Google Scholar 

  2. Ma, Jin, et al. “Reducing identified parameters of measurement-based composite load model.” Power Systems, IEEE Transactions on 23.1 (2008): 76–83.

    Google Scholar 

  3. Chen, Yunping, et al. “A new approach to real time measurement of power angles of generators at different locations for stability control.” Power Engineering Society Winter Meeting, 2000. IEEE. Vol. 2. IEEE, 2000.

    Google Scholar 

  4. Ranvir, Kunal V., et al. “Substation Monitoring System.”

    Google Scholar 

  5. LIANG, Hu-hui, et al. “ZigBee-based substation monitoring and alarming system [J].” Power System Protection and Control 12 (2010).

    Google Scholar 

  6. Nasipuri, Asis, et al. “Wireless sensor network for substation monitoring: Design and deployment.” Proceedings of the 6th ACM conference on Embedded network sensor systems. ACM, 2008.

    Google Scholar 

  7. Kalkman, Cor J. “LabVIEW: a software system for data acquisition, data analysis, and instrument control.” Journal of clinical monitoring 11.1 (1995): 51–58.

    Google Scholar 

  8. Forghani-Zadeh, Hassan Pooya, and Gabriel Rincon-Mora. “Current-sensing techniques for DC-DC converters.” Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on. Vol. 2. IEEE, 2002.

    Google Scholar 

  9. Krauß, A., U. Weimar, and W. Göpel. “LabView™ for sensor data acquisition.” TrAC Trends in Analytical Chemistry 18.5 (1999): 312–318.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abhinav Shukla .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media Singapore

About this paper

Cite this paper

Abhinav Shukla, Abhas, Rajesh Singh, Anita Gehlot (2017). In-campus Generator-Substation Monitoring and Control Using LabVIEW. In: Singh, R., Choudhury, S. (eds) Proceeding of International Conference on Intelligent Communication, Control and Devices . Advances in Intelligent Systems and Computing, vol 479. Springer, Singapore. https://doi.org/10.1007/978-981-10-1708-7_29

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-1708-7_29

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1707-0

  • Online ISBN: 978-981-10-1708-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics