Transient Angle Stability Discrimination Method of New Energy Power System Based on I-ω Response Correlation Characteristics

被引：0
作者：
Cheng, Liu [1 ]
Shouchao, Li [1 ]
Yuchi, Zhang [1 ]
Yanjun, Zhang [2 ]
机构：
[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin
[2] State Grid Liaoning Electric Power Co. Ltd, Shenyang
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2024年 / 39卷 / 24期
关键词：
key features; Power system; response information; stability discrimination; transient power angle stability;
D O I：
10.19595/j.cnki.1000-6753.tces.231893
中图分类号：
学科分类号：
摘要：
Compared with the traditional power system, the transient stability dynamic characteristics of the new energy power system have undergone profound changes after large disturbances, which makes the traditional transient stability analysis methods difficult to apply. With the development and improvement of wide-area measurement systems, scholars have proposed discriminant methods based on response information. However, most have the problems with cumbersome calculations, unclear physical meaning, and low accuracy. This paper proposes a transient power-angle stability discrimination method for new energy power systems based on the correlation characteristics of generator current and angular velocity. Based on the transient key characteristics contained in current and angular velocity, the transient power angle stability of the system is quickly and accurately discriminated. Firstly, the generator current is divided into three sections, and the difference characteristics of the post-fault current are obtained by comparing the current situation of each section in the two cases of power system stability and instability. Secondly, the post-fault current is substituted into the generator rotor motion equation to establish the relationship between the post-fault current and the angular velocity, and the relationship between the two electrical quantities and the transient stability is revealed. Thirdly, by analyzing the characteristics of the relationship curve between current and angular velocity, the key characteristics of transient power angle stability and instability are extracted, and the influence of wind turbine access on the characteristics of the relationship curve is explored. The transient power angle stability criterion is constructed. Finally, the critical generator cluster is identified by comparing the change rate of the phase angle difference of the bus voltage at the terminal after the fault is cleared. The simulations of the improved New England 10-machine 39-bus system and the actual power grid show that the critical generator cluster can be accurately identified. The transient stability discrimination of system stability and instability scenarios is carried out. When the system is stable, the proposed method can accurately identify from the relationship curve that the current continues to decrease near the inflection point of the angular velocity. When the system is unstable, the current continues to increase near the inflection point of the angular velocity. The method uses 80 ms and 190 ms to distinguish the system instability. Through simulation analysis, the following conclusions can be drawn. (1) Based on the measured response information, this method can avoid the influence of system operation mode, network structure, model, and parameters. (2) The electrical quantity used in this method is simple and easy to measure. It does not need complicated calculation or coordinate transformation of the response information, which avoids the error caused by calculation or transformation. (3) The proposed criterion is simple and feasible, and the discriminant results can be obtained quickly. © 2024 China Machine Press. All rights reserved.
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页码：7902 / 7916
页数：14
相关论文
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