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Distributed Complementary Control Research of Wind Turbines in Two Offshore Wind Farms

Author

Listed:
  • Bing Wang

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Min Tian

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Tingjun Lin

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Yinlong Hu

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

Abstract

In order to stabilize the fluctuation of wind power and maintain a stable power output, a complementary control idea is proposed. This idea aims to make the output power from two wind farms complement each other. This study proposes a distributed control strategy to solve the complementary control problem of wind turbines in two offshore wind farms on the basis of the Hamiltonian energy theory. The proposed control strategy not only ensures synchronization for wind turbines in the same farm but also keeps the combined output power of the two wind farms stable. First, through the Hamiltonian realization, the single-machine model of a wind turbine is transformed into a port-controlled Hamiltonian system with dissipation (PCHD). Subsequently, the Hamiltonian energy control law is developed on the basis of the energy-shaping method to adjust the Hamiltonian energy function. The complementary control of the two wind farms is designed to synchronize the wind turbines within an individual wind farm and keep the combined output of the two wind farms stable. Furthermore, the complementary control strategy is modified to address the communication delay between the two wind farms by incorporating time delay into the control problem. Finally, the effectiveness of the distributed complementary control has been verified via simulations.

Suggested Citation

  • Bing Wang & Min Tian & Tingjun Lin & Yinlong Hu, 2018. "Distributed Complementary Control Research of Wind Turbines in Two Offshore Wind Farms," Sustainability, MDPI, vol. 10(2), pages 1-21, February.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:2:p:553-:d:132630
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    References listed on IDEAS

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    1. Bing Wang & Qiuxuan Wu & Min Tian & Qingyi Hu, 2017. "Distributed Coordinated Control of Offshore Doubly Fed Wind Turbine Groups Based on the Hamiltonian Energy Method," Sustainability, MDPI, vol. 9(8), pages 1-14, August.
    2. Tzay-An Shiau & Ji-Kai Chuen-Yu, 2016. "Developing an Indicator System for Measuring the Social Sustainability of Offshore Wind Power Farms," Sustainability, MDPI, vol. 8(5), pages 1-14, May.
    3. Madariaga, A. & Martín, J.L. & Zamora, I. & Martínez de Alegría, I. & Ceballos, S., 2013. "Technological trends in electric topologies for offshore wind power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 32-44.
    4. Khalid, M. & Savkin, A.V., 2010. "A model predictive control approach to the problem of wind power smoothing with controlled battery storage," Renewable Energy, Elsevier, vol. 35(7), pages 1520-1526.
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    Cited by:

    1. Bing Wang & Zhen Tang & Xiang Gao & Weiyang Liu & Xianhui Chen, 2019. "Distributed Control Strategy of the Leader-Follower for Offshore Wind Farms under Fault Conditions," Sustainability, MDPI, vol. 11(8), pages 1-20, April.
    2. Ran Tao & Jingpeng Yue & Zhenlin Huang & Ranran An & Zou Li & Junfeng Liu, 2022. "A High-Gain DC Side Converter with a Ripple-Free Input Current for Offshore Wind Energy Systems," Sustainability, MDPI, vol. 14(18), pages 1-16, September.

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