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Research on Hierarchical and Distributed Control for Smart Generation Based on Virtual Wolf Pack Strategy

Author

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  • Lei Xi
  • Lang Liu
  • Yuehua Huang
  • Yanchun Xu
  • Yunning Zhang

Abstract

Nowadays, haze has become a big trouble in our society. One of the significant solutions is to introduce renewable energy on a large scale. How to ensure that power system can adapt to the integration and consumption of new energy very well has become a scientific issue. A smart generation control which is called hierarchical and distributed control based on virtual wolf pack strategy is explored in this study. The proposed method is based on multiagent system stochastic consensus game principle. Meanwhile, it is also integrated into the new win-lose judgment criterion and eligibility trace. The simulations, conducted on the modified power system model based on the IEEE two-area load frequency control and Hubei power grid model in China, demonstrate that the proposed method can obtain the optimal collaborative control of AGC units in a given regional power grid. Compared with some smart methods, the proposed one can improve the closed-loop system performances and reduce the carbon emission. Meanwhile, a faster convergence speed and stronger robustness are also achieved.

Suggested Citation

  • Lei Xi & Lang Liu & Yuehua Huang & Yanchun Xu & Yunning Zhang, 2018. "Research on Hierarchical and Distributed Control for Smart Generation Based on Virtual Wolf Pack Strategy," Complexity, Hindawi, vol. 2018, pages 1-14, July.
    • Handle: RePEc:hin:complx:2782314
    DOI: 10.1155/2018/2782314
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    Cited by:

    1. Yang, Mao & Shi, Chaoyu & Liu, Huiyu, 2021. "Day-ahead wind power forecasting based on the clustering of equivalent power curves," Energy, Elsevier, vol. 218(C).

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