Probabilistic power flow analysis method for power system with renewable energy based on security region theory

被引：0
|
作者：
Li W. [1 ]
Wang W. [1 ]
Wang H. [1 ]
Wu J. [1 ]
Zhang Y. [1 ]
机构：
[1] Engineering Research Center of Education Ministry for Renewable Energy Power Generation and Grid Technology (Xinjiang University), Urumqi
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2022年 / 43卷 / 08期
关键词：
Electric power systems; Maximum entropy methods; Probabilistic fluctuation; Renewable energy; Steady- state security region;
D O I：
10.19912/j.0254-0096.tynxb.2020-0453
中图分类号：
学科分类号：
摘要：
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. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
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页码：1 / 7
页数：6
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