Advertisement

Development of Wireless Data Acquisition and Control System for Smart Microgrid

  • Lipi Chhaya
  • Paawan Sharma
  • Govind Bhagwatikar
  • Adesh Kumar
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 435)

Abstract

Smart grid is the most ingenious and experimental technology in the present era. Assimilation of information and communication technologies with electrical infrastructure is the fundamental part of smart grid deployment. Smart grid communication architecture is a methodical framework of networks incorporating varied set of communication standards. Microgrid is the significant component of smart grid as it facilitates and expedites the usage of renewable energy assets. It can resolve the critical problems like unelectrified villages, electricity theft, depletion of fossil fuels, GHG emissions and greenhouse effect. Smart microgrid can function in two modes, namely grid-connected and island mode. It also encompasses hierarchical communication networks for automation of entire system. This paper describes the design and implementation of data acquisition and control system for smart microgrid prototype using IEEE 802.3 and IEEE 802.11 standards.

Keywords

Smart grid Smart microgrid Data acquisition and control Wireless communication Ethernet Wireless local area network Wireless monitoring and control Renewable energy Solar photovoltaic 

References

  1. 1.
    Binti, M.I.N., Wei, T.C., Yatim, A.H.M.: Smart grid technology: communications, power electronics and control system. International Conference on Sustainable Energy Engineering and Application (ICSEEA), Bandung, pp. 10–14 (2015)Google Scholar
  2. 2.
    Erol-Kantarci, M., Mouftah, H.T.: Energy-efficient information and communication infrastructures in the smart grid: a survey on interactions and open issues. IEEE Comm. Surv. Tutorials 17, 179–197 (2015)CrossRefGoogle Scholar
  3. 3.
    Huang, J., Wang, H., Qian, Y.: Smart grid communications in challenging environments. IEEE Third International Conference on Smart Grid Communications, Tainan, pp. 552–557 (2012)Google Scholar
  4. 4.
    Gungor, V.C., Sahin, D., Kocak, T., Ergut, S., Buccela, C., Cecati, C., Hancke, G.P.: Smart grid technologies: communication technologies and standards. IEEE Trans. Ind. Info. 7, 529–539 (2011)CrossRefGoogle Scholar
  5. 5.
    Yan, Y., Qian, Y., Sharif, H., Tipper, D.: A survey on smart grid communication infrastructures: motivations, requirements and challenges. IEEE Comm. Surv. Tutorials 15, 5–20 (2013)CrossRefGoogle Scholar
  6. 6.
    Bera, S., Misra, S., Obaidat, M.S.: Energy-efficient smart metering for green smart grid communication. IEEE Global Communications Conference, Austin, pp. 2466–2471 (2014)Google Scholar
  7. 7.
    Momoh, J.: Pathway for Designing. Smart Grid Smart Grid: Fundamentals of Design and Analysis, pp. 122–139. Wiley-IEEE Press, New York (2012)CrossRefGoogle Scholar
  8. 8.
    Landsteiner, C., Andren, F., Strasser, T.: Evaluation and test environment for automation concepts in smart grids applications. IEEE First International Workshop on Smart Grid Modeling and Simulation, Brussels, pp. 67–72 (2011)Google Scholar
  9. 9.
    Matsuo, R., Miwa, H.: Grid-connected electric-power control algorithm for promoting the introduction of renewable energy. International Conference on Intelligent Networking and Collaborative Systems, Salerno, pp. 163–168 (2014)Google Scholar
  10. 10.
    Farajallah, M., Assad, S.E., Chetto, M.: Dynamic adjustment of the chaos-based security in real-time energy harvesting sensors. IEEE International Conference on Internet of Things and Cyber, Physical and Social Computing, Beijing, pp. 282–289 (2013)Google Scholar
  11. 11.
    Piyare, R., Tazil, M.: Bluetooth based home automation system using cell phone. International Symposium on Consumer Electronics, Singapore, pp. 192–195 (2011)Google Scholar
  12. 12.
    Bhattarai, B.P., Lévesque, M., Maier, M., Bak-Jensen, B., Pillai, J.R.: Optimizing electric vehicle coordination over a heterogeneous mesh network in a scaled-down smart grid testbed. IEEE Trans. Smart Grid 6, 784–794 (2015)CrossRefGoogle Scholar
  13. 13.
    Baig, M.Q., Maqsood, J., Alvi, M.H.B.T., Khan, T.A.: A comparative analysis on home automation techniques. International Conference on Artificial Intelligence, Modelling and Simulation, Madrid, pp. 109–114 (2014)Google Scholar
  14. 14.
    Fang, A., Xu, X., Yang, W., Zhang, L.: The realization of intelligent home by ZigBee wireless network technology. Pacific-Asia Conference on Circuits, Communications and Systems, Chengdu, pp. 81–84 (2009)Google Scholar
  15. 15.
    Eliasson, J., Zhong, C., Delsing, J.: A heterogeneous sensor network architecture for highly mobile users. International Conference on Wireless Communication and Sensor Networks, Allahabad, pp. 1–6 (2010)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Lipi Chhaya
    • 1
  • Paawan Sharma
    • 1
  • Govind Bhagwatikar
    • 2
  • Adesh Kumar
    • 1
  1. 1.Department of Electronics, Instrumentation and Control EngineeringUniversity of Petroleum & Energy StudiesDehradunIndia
  2. 2.SANY GroupPuneIndia

Personalised recommendations