Author(s)

Yang Jingshuai ¹, Li Nan ², Wang Xiangming ²

Affiliation(s)

¹ Department of Detection Technology and Automation, Shenyang University of Technology, Tiexi Street, Shenyang, China
² Institute of Information Science and Engineering, Shenyang University of Technology, Tiexi Street, Shenyang, China

Corresponding Author

Li Nan

ABSTRACT

The main objective of the paper is to implement controller design of large wind turbines. Specific focus is optimal power for variable speed turbines below rated wind speed. The paper adopts a simplified fuzzy-PID controller to realize for maximizing energy capture and optimizing power of wind turbine. The simplified fuzzy-PID control system reduces control rule and controls power of wind turbine efficiently. At the same time, it can realize for maximizing wind energy capture and controlling of wind turbine better than PID controller, and can make system more stable and reliable with comparison of PID controller.

KEYWORDS

Wind turbine, Optimal power, Simplified fuzzy-PID controller.

CITE THIS PAPER

Xiangming,W. , Nan, L. , Jingshuai, Y. Optimal Power Control for Wind Turbine System based on the Simplified Fuzzy-PID Controller. International Journal of Power Engineering and Engineering Thermophysics (2017) 1: 1-10.

REFERENCES

[1] Leung DYC, Yang Y. (2012) Wind energy development and its environmental impact: a review. Renew Sustain Energy Rev 16(1):103-104,.
[2] Zhang Le, Jin Shangtai.( 2006)Large wind generator control simulation study[J]. CHINA SCIENCE AND TECHNOLOGY INFORMATION.
[3] Guo Qingding, Zhao Lin, Guo Honhche(2005) 1MW The robust control of sliding mode variable structure for a variable speed variable pitch wind turbine[J]. Shenyang University of Technology Journal, 27（2）:171-174,.
[4] Anastasios I. Dounis, Panagiotis Kofinas(2013)Adaptive fuzzy gain scheduling PID controller for maximum power point  tracking of photovoltaic system[J], Renewable Energy, 202-214.
[5] Mao Hsiung Chiang(2011) A novel pitch control system for a wind turbine driven by a variable-speed pump-controlled hydraulic servo system [J]. Mechatronics, 21: 753–761.
[6] ZHANG Xinfang, XU Daping(2004)Adaptive Fuzzy Control for Large-scale Variable Speed Wind Turbines[J]. JOURNAL  OF  SYSTEM  SIMULATION. Vol.  16  No.  
 [7] CHEN Jiawei, CHEN Jie, CHEN Ran(2011) Adaptive Fuzzy Logic Control Technique for Variable-speed Wind Turbines[J]. Proceedings of the CSEE, Vol.31 No.21.Jul.25.
[8] H. Li and Z. Chen(2008)Overview of different wind generator systems and their comparisons, IET Renew. Power Gen., vol. 2, no. 2, 123–138.
[9] S. Soterand R. Wegener(2007) Development of induction machines in wind power technology, in Proc. IEEE Int. Elect. Mach. Drives Conf., Antalya, Turkey, 1490–1495.
[10] J. A. Baroudi, V. Dinavahi, and A. M. Knight(2005) A review of power con-Int. Conf. Elect. Mach. Drives. IEEE, verter topologies for wind generators, in Proc 458-465.
[11] M. Namazov, R. Samet, R. Huseynov(2007), Modeling and Simulation of the Fuzzy Relay Type Controller for Solving the Double Integrator Control Problems[C], Proceedings of the 9th WSEAS International Conference on Automatic Control, Modeling & Simulation.
[12] Samir Nejim, NawelTej, Naceur Benhadj Braiek(2007)Robust Quadratic Stabilization for a Class of Discrete-time Nonlinear Uncertain Systems: A Genetic Algorithm Approach.  Proceedings of the 9th WSEAS International Conference on Automatic Control, Modeling & Simulation.
[13] Kazmi, S.M.R., Goto, H, Guo, H. J., etal(2010) Review and critical analysis of the research papers published till date on maximum power point tracking in wind energy conversion system, Proc. IEEE Energy Conversion Congress and Exposition (ECCE), 4075–4082.
[14] Linus, R.M., Damodharan, P.(2012) Maximum power point tracking and grid feeding of permanent magnet synchronous generator based wind energy conversion system using modified hill climb searching algorithm. IEEE Fifth India Int. Conf. on Power Electronics (IICPE),1–3.
[15] Yishuang Qi, Qingjin Meng(2012) The Application of Fuzzy PID Control in Pitch Wind Turbine[C]. International Conference on Future Energy, Environment, and Materials, Energy Procedia 16:1635 – 1639.

Sponsors, Associates, and Links

---

• Numerical Algebra and Scientific Computing
  
  
• Journal of Physics Through Computation
  
  
• Transactions on Particle and Nuclear Physics
  
  
• Journal of Probability and Mathematical Statistics
  
  
• Multibody Systems, Nonlinear Dynamics and Control
  
  
• Complex Analysis and Geometry
  
  
• Dynamical Systems and Differential Equations
  
  
• Acoustics, Optics and Radio Physics
  
  
• Progress in Atomic and Molecular Physics
  
  
• Transactions on Condensed Matter Physics
  
  
• Transactions on Computational and Applied Mathematics
  
  
• Progress in Plasma Physics
  
  
• Combinatorics and Graph Theory
  
  
• Research and Practice of Mathematics & Statistics
  
  
• Nuclear Techniques and Applications
  
  
• Journal of Photonics Research
  
  
• Journal of Compressors and Refrigeration
  
  
• Journal of Theoretical Physics Frontiers
  
  
• Journal of Nonlinear Science and Complexity
  
  
• Vacuum Science Journal
  
  
• Computational Fluid Dynamics