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

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 fram...

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Veröffentlicht in:Neural computing & applications 2020-03, Vol.32 (6), p.1517-1529
Hauptverfasser: Zhai, Suwei, Sun, Yonghui, Cui, Hantao, Hu, Yinlong, Li, Zhihua
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Sprache:eng
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Zusammenfassung: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.
ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-019-04120-0