A Terminal-Sliding-Mode-Based Frequency Regulation

  • Hong Liu
  • Dianwei Qian
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9377)


In this paper, a terminal reaching law based sliding mode control (SMC) method for load frequency control (LFC) is investigated in interconnected power systems in the presence of wind turbines and generation rate constraint (GRC). Neural networks are adopted to compensate the entire uncertainties. Simulation results show the validity and robustness of the presented method.


load frequency control terminal reaching law neural network 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Hajian, M., Foroud, A.A., Abdoos, A.A.: New Automated Power Quality Recognition System for Online/offline Monitoring. Neurocomputing 128, 389–406 (2014)CrossRefGoogle Scholar
  2. 2.
    Utkin, V.I.: Sliding Modes in Control and Optimization, 2nd edn. Springer, Berlin (1992)CrossRefGoogle Scholar
  3. 3.
    Mi, Y., Fu, Y., Wang, C.S., Wang, P.: Decentralized Sliding Mode Load Frequency Control for Multi-Area Power Systems. IEEE T. Power Syst. 28, 4301–4309 (2013)CrossRefGoogle Scholar
  4. 4.
    Qian, D.W., Zhao, D.B., Yi, J.Q., Liu, X.J.: Neural Sliding-Mode Load Frequency Controller Design of Power Systems. Neural Comput. Appl. 22, 279–286 (2013)CrossRefGoogle Scholar
  5. 5.
    Li, X., Cao, J., Du, D.: Probabilistic Optimal Power Flow for Power Systems Considering Wind Uncertainty and Load Correlation. Neurocomputing 148, 240–247 (2015)CrossRefGoogle Scholar
  6. 6.
    Das, D.C., Sinha, N., Roy, A.K.: Automatic Generation Control of an Organic Rankine Cycle Solar-Thermal/Wind-Diesel Hybrid Energy System. Energy Technology 2, 721–731 (2014)CrossRefGoogle Scholar
  7. 7.
    Bevrani, H.: Robust Power System Control. Springer, New York (2009)CrossRefGoogle Scholar
  8. 8.
    Cheng, L., Hou, Z.G., Tan, M.: Adaptive Neural Network Tracking Control for Manipulators with Uncertain Kinematics, Dynamics and Actuator Model. Automatica 45, 2312–2318 (2009)MathSciNetCrossRefGoogle Scholar
  9. 9.
    Mohamed, T.H., Morel, J., Bevrani, H., Hiyama, T.: Model Predictive Based Load Frequency Control Design Concerning Wind Turbines. Int. J. Elec. Power 43, 859–867 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

<SimplePara><Emphasis Type="Bold">Open Access</Emphasis> This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (, which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. </SimplePara> <SimplePara>The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.</SimplePara>

Authors and Affiliations

  • Hong Liu
    • 1
  • Dianwei Qian
    • 1
  1. 1.School of Control and Computer EngineeringNorth China Electric Power UniversityBeijingChina

Personalised recommendations