PROBABILISTIC POWER FLOW ANALYSIS METHOD FOR POWER SYSTEM WITH RENEWABLE ENERGY BASED ON SECURITY REGION THEORY

Li Weiqi; Wang Weiqing; Wang Haiyun; Wu Jiahui; Zhang Yongchao

doi:10.19912/j.0254-0096.tynxb.2020-0453

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (8) : 1-7. DOI: 10.19912/j.0254-0096.tynxb.2020-0453

PROBABILISTIC POWER FLOW ANALYSIS METHOD FOR POWER SYSTEM WITH RENEWABLE ENERGY BASED ON SECURITY REGION THEORY

Li Weiqi, Wang Weiqing, Wang Haiyun, Wu Jiahui, Zhang Yongchao

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Abstract

Aiming at the problem that the original probabilistic power flow analysis method of electric power systems with renewable energy is inefficient and cannot reflect the impact of fluctuations on the system as a whole, this paper proposed an improved probabilistic power flow analysis method based on steady-state security region theory. Firstly, the probability power flow of the tested system is calculated by the maximum entropy methods. Furthermore, the influence of the probability fluctuation of renewable energy on the steady-state security of the tested system is analyzed by the effective boundary identification method and evaluated by the steady-state security distance index. Finally, the feasibility and practicability of the proposed method are verified by analyzing Hami regional power grid in Xinjiang.

Key words

renewable energy / electric power systems / maximum entropy methods / steady-state security region / probabilistic fluctuation

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Li Weiqi, Wang Weiqing, Wang Haiyun, Wu Jiahui, Zhang Yongchao. PROBABILISTIC POWER FLOW ANALYSIS METHOD FOR POWER SYSTEM WITH RENEWABLE ENERGY BASED ON SECURITY REGION THEORY[J]. Acta Energiae Solaris Sinica. 2022, 43(8): 1-7 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0453

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