Dual Mode Linguistic Hedge Fuzzy Logic Controller for an Isolated Biomass Based Diesel Wind Hybrid Power System with Battery Energy Storage Unit

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S. Velusami
M. Md. Thameem Ansari

Abstract

In this paper, a dual mode linguistic hedge fuzzy logic controller for an isolated biomass based diesel wind hybrid power system with battery energy storage unit is proposed. In this fuzzy logic controller design, the linguistic hedge operators are used to adjust the shape of the system membership functions dynamically, and can speed up the control result to fit the system demand. The genetic algorithm-simulated annealing algorithms are adopted to search the optimal linguistic hedge combination in the linguistic hedge module. Dual mode concept is also incorporated in this proposed controller because it can improve the system performance. The system with the proposed controller was simulated and the frequency deviation resulting from a step load disturbance is presented. The simulation results show that the system performance is improved with the proposed controller. It is also found that the controller is less sensitive to the changes in the system parameters.

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How to Cite
Velusami, S., & Md. Thameem Ansari, M. (2010). Dual Mode Linguistic Hedge Fuzzy Logic Controller for an Isolated Biomass Based Diesel Wind Hybrid Power System with Battery Energy Storage Unit. Power Research - A Journal of CPRI, 51–59. Retrieved from https://node6473.myfcloud.com/~geosocin/CPRI/index.php/pr/article/view/685

References

  1. Das D and Kothari D P. "Instability and Dynamics of a Wind Turbine Generator System on An Isolated Power Systems”, IE(I) Journal, Vol. 76, pp. 69-71, 1995.
  2. Hannele Hottinen and et al. "State-of-the Art of Design and Operation of Power Systems with Large Amounts of Wind Power”, Proceedings of EWEC, 2007.
  3. Pedro Rosas and et al., "Problems of Planning Hybrid Wind Diesel Power Systems”, Proceedings of IEEE, pp. 617-622, 2004.
  4. Sagues C, Garcia-Bacaicoa P and Serrano S. "Automatic Control of Biomass Gasifiers using Fuzzy Inference Systems”, Bioresource Technology, Vol. 98, pp. 845-855, 2007.
  5. Aditya S K and Das D. "Battery Energy Storage for Load Frequency Control of An Interconnected Power System”, Electric Power System Research, Vol. 58, pp. 179-185, 2001.
  6. Jie Zeng, Buhan Zhang, Chengxion Mao and Yunling Wang. "Use of Battery Energy Storage System to Improve the Power Quality and Stability of Wind Farms”, Proceedings of IEEE, pp. 1-6, 2006.
  7. Shayeghi H, Shayanfar H A and Jalili A. "Load Frequency Control Strategies: A State-of-the-art Survey for the Researcher”, Energy Conversion and Management, Vol. 50, No. 2, pp. 344-353, Feb. 2009.
  8. Francisco Jurado and Jose R.Saenz. "Adaptive Control for Biomass-based Diesel Wind System”, Proceedings of IEEE, pp. 53-60, 2002.
  9. Gang feng. "A survey on Analysis and Design of Model-based Fuzzy Control Systems”, IEEE Transactions on Fuzzy Systems, Vol. 14, No. 5, pp. 676-697, 2006.
  10. Indulkar C S and Baldevraj. "Application of Fuzzy Controller to Automatic Generation Control”, Electric Machines and Power Systems, Vol. 23, pp. 209-220, 1995.
  11. Bin-Da Liu, Chuen-yau Chen and Ju-Ying Tsao. "Design of Adaptive Fuzzy Logic Controller Based on Linguistic-Hedge Concepts and Genetic Algorithms”, IEEE Transactions on Systems, Man, and Cybernetics-Part B, Vol. 3, No. 1, pp. 32-53, 2001.
  12. Velusami S and Chidambaram I A. "Decentralized Based Dual Mode Controllers for Load Frequency Control of Interconnected Power Systems considering GDB and GRC Non-linearities”, Energy Conversion and Management, Vol. 48, pp. 1691-1702, 2007.
  13. Mohamed Thameem Ansari M and Velusami S. "Dual Mode Linguistic Hedge Fuzzy Logic Controller for an Isolated Wind Diesel Hybrid Power System with Superconducting Magnetic Energy Storage Unit”, Energy conversion and Management, 51, pp. 169-181, 2010.