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Adjustable loads control and stochastic stability analysis for multi-energy generation system based on Markov model

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Abstract

This paper mainly addresses the issue of the power generation fluctuations due to the stochastic characteristics of the renewable energies, which threaten the stability of the power grid. First, the multi-energy generation system with integration of wind and photovoltaic power is modeled in the framework of Markov model to describe the dynamic changes. Second, to weaken the active power fluctuation of renewable energies generation and improve the utilization of renewable energies, the flexible loads are added for local consumption and an adjustable load control strategy is proposed to guarantee the output power continuous stability of the renewable energies generation. Then, the stochastic stability is analyzed by using Markov stability theory. Finally, the simulation results and analysis are provided to illustrate the effectiveness of the proposed schemes.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grants 61673161 and 61603122, in part by the Natural Science Foundation of Jiangsu Province of China under Grants BK20161510 and BK20160873 and in part by the 111 Project under Grant B14022.

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Authors and Affiliations

  1. College of Energy and Electrical Engineering, Hohai University, Nanjing, 210098, China

    Suwei Zhai, Yonghui Sun, Yinlong Hu & Zhihua Li

  2. Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, 37996, USA

    Hantao Cui

Authors
  1. Suwei Zhai
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  2. Yonghui Sun
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  3. Hantao Cui
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  4. Yinlong Hu
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  5. Zhihua Li
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Correspondence to Yonghui Sun.

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Zhai, S., Sun, Y., Cui, H. et al. Adjustable loads control and stochastic stability analysis for multi-energy generation system based on Markov model. Neural Comput & Applic 32, 1517–1529 (2020). https://doi.org/10.1007/s00521-019-04120-0

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