Building of a Practical Monitoring System for the Small Wind Turbine

  • Rong-Ching Wu
  • Yen-Ming TsengEmail author
  • En-Chih Chang
  • Chih-Yang Hsiao
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 82)


The small wind power system is a renewable energy system that is more applicable to general residential or other applications. Most users of the small-scale wind power generation system come from the general population, who do not have professional technologies and concepts. A good monitoring system can provide the user with quick understanding of the operational status, efficient troubleshooting, and improvement of the whole system. The paper proposes a wireless remote monitoring system for wind systems. This system includes a host computer and a remote monitoring module. The host computer is used for command control, data collection, and analysis. It can order the remote monitoring module to operate electrical equipment, gather measured data from the remote monitoring module, and analyze these data. The operation screen of the host computer is accomplished by the LabVIEW front panel. Via interactive man-machine interface, the user can input control commands and monitor operating conditions, so the operation is simpler and more straightforward. The remote monitoring module can measure voltage, current, generator speed, and wind speed data; in addition, it can provide an electromagnetic brake for the wind turbine.

The communication of the host computer and remote monitoring module is constituted through a wireless network, so the host computer can fully understand the system status wherever placed, and remotely monitor and control the entire system. The specific functions of the remote monitoring module are performed by an AVR single chip and its surrounding instrumentation.

The monitoring system of this paper is expected to effectively manage the wind turbine system, improve the efficiency of the system, and provide a reference to further improve the system. This paper monitors a practical 400 W small wind turbine as an object, which verifies the practicability of this paper in practical applications.


Wind turbine Monitoring system Microprocessor 


  1. 1.
    Bull, S.R.: Renewable energy today and tomorrow. Proc. IEEE 89, 1216–1226 (2002)CrossRefGoogle Scholar
  2. 2.
    Singh, B.N., Jain, P., Joos, G.: Three-phase AC-DC regulated power supplies: a comparative evaluation of different topologies. In: Proceedings of IEEE APEC Conference, vol. 1, pp. 518-523 (2005)Google Scholar
  3. 3.
    Johnson, G.L.: Wind Energy Systems. Prentice Hall, Englewood Cliffs (1985)Google Scholar
  4. 4.
    Knight, A.M., Peters, G.E.: Simple wind energy controller for an expanded operation range. IEEE Trans. Energy Convers. 20(2), 459–466 (2005)CrossRefGoogle Scholar
  5. 5.
    Tan, F.K., Islam, S.: Optimum control strategies in energy conversion of PMSG wind turbine system without mechanical sensors. IEEE Trans. Energy Convers. 19(2), 392–399 (2004)CrossRefGoogle Scholar
  6. 6.
    Luo, C., Banakar, H., Baike, S., Ooi, B.T.: Strategies to Smooth Wind Power Fluctuations of Wind Turbine Generator. IEEE Trans. Energy Convers. 22(2), 341–349 (2007)CrossRefGoogle Scholar
  7. 7.
    Wu, R.-C., Tsai, J.-I., Huang, S.-H., Tseng, W.-C.: Establishing monitoring system of advanced metering infrastructure by power line carrier. In: Proceedings of the First International Conference on Robot, Vision and Signal Processing, Kaohsiung City, Taiwan, R.O.C., November 2011Google Scholar
  8. 8.
    Wu, R.-C., Zhu, K., Chang, E.-C., Lee, J.-C.: Intelligent control via power-line carrier for illumination and air condition in buildings, IE & EM 2012, Changsha, China, pp. 1209–1213 (2012)Google Scholar
  9. 9.
    Koutroulis, E.: Design of a maximum power tracking system for wind-energy-conversion applications. IEEE Trans. Industr. Electron. 53, 486–494 (2006)CrossRefGoogle Scholar
  10. 10.
    Zinger, D.S., Muljadi, E., Miller, A.: A simple control scheme for variable speed wind turbines. In: IEEE Industry Applications Conference, vol. 102(8), pp. 2793–2798 (1983)Google Scholar
  11. 11.
    Ali, M., Milanovic, J.V., Ilie, I.-S., Chicco, G.: Wind farm model aggregation using probabilistic clustering. IEEE Trans. Power Syst. 28(1), 309–316 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Rong-Ching Wu
    • 1
  • Yen-Ming Tseng
    • 2
    Email author
  • En-Chih Chang
    • 1
  • Chih-Yang Hsiao
    • 3
  1. 1.Department of Electrical EngineeringI-Shou UniversityKaohsiungTaiwan
  2. 2.School of Information Science and EngineeringFujian University of TechnologyFuzhouChina
  3. 3.Department of Electrical EngineeringChung Yuan Christian UniversityTaoyuanTaiwan

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