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Robust power oscillation damper design for DFIG-based wind turbine based on specified structure mixed H2/H∞ control

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  • Surinkaew, Tossaporn
  • Ngamroo, Issarachai

Abstract

As the integration of a doubly fed induction generator (DFIG)-based wind power generation into power systems tends to increase significantly, the contribution of DFIG wind turbine is highly expected. Since the active and reactive power outputs of DFIG can be independently modulated, the stabilizing effect of DFIG on the inter-area power system oscillation is a challenging issue. This paper proposes a new robust control design of power oscillation damper (POD) for a DFIG-based wind turbine using a specified structure mixed H2/H∞ control. The POD structure is a practical 2nd-order lead–lag compensator with single input. Normally, H∞ control mainly enforces the closed-loop stability while noise attenuation or regulation against random disturbances is expressed in H2 control. As a result, the mixed H2/H∞ control gives a powerful multi-objective control design so that both closed-loop stability and performance of designed controller can be guaranteed. Here, the linear matrix inequality is applied to formulate the optimization problem of POD based on a mixed H2/H∞ control. The POD parameters are optimized so that the performance and robustness of the POD against system disturbances and uncertainties are maximal. The firefly algorithm is automatically applied to solve the optimization problem. Simulation study in a two-area four-machine interconnected power system shows that the DFIG with robust POD is superior to conventional POD in terms of stabilizing effect as well as robustness against various power generating and loading conditions, unpredictable network structure, and random wind patterns.

Suggested Citation

  • Surinkaew, Tossaporn & Ngamroo, Issarachai, 2014. "Robust power oscillation damper design for DFIG-based wind turbine based on specified structure mixed H2/H∞ control," Renewable Energy, Elsevier, vol. 66(C), pages 15-24.
    • Handle: RePEc:eee:renene:v:66:y:2014:i:c:p:15-24
    DOI: 10.1016/j.renene.2013.11.060
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    References listed on IDEAS

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    1. Fernández, R.D. & Battaiotto, P.E. & Mantz, R.J., 2008. "Wind farm non-linear control for damping electromechanical oscillations of power systems," Renewable Energy, Elsevier, vol. 33(10), pages 2258-2265.
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    Cited by:

    1. Ebrahimi, F.M. & Khayatiyan, A. & Farjah, E., 2016. "A novel optimizing power control strategy for centralized wind farm control system," Renewable Energy, Elsevier, vol. 86(C), pages 399-408.
    2. Ouyang, Jinxin & Xiong, Xiaofu, 2014. "Dynamic behavior of the excitation circuit of a doubly-fed induction generator under a symmetrical voltage drop," Renewable Energy, Elsevier, vol. 71(C), pages 629-638.
    3. Derafshian, Mehdi & Amjady, Nima, 2015. "Optimal design of power system stabilizer for power systems including doubly fed induction generator wind turbines," Energy, Elsevier, vol. 84(C), pages 1-14.
    4. Mousavi, Yashar & Bevan, Geraint & Kucukdemiral, Ibrahim Beklan & Fekih, Afef, 2022. "Sliding mode control of wind energy conversion systems: Trends and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    5. Vural, Ahmet Mete, 2016. "Contribution of high voltage direct current transmission systems to inter-area oscillation damping: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 892-915.
    6. Zou, Yidong & Hu, Wenqing & Xiao, Zhihuai & Wang, Yunhe & Chen, Jinbao & Zheng, Yang & Qian, Jing & Zeng, Yun, 2023. "Design of intelligent nonlinear robust controller for hydro-turbine governing system based on state-dynamic-measurement hybrid feedback linearization method," Renewable Energy, Elsevier, vol. 204(C), pages 635-651.

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