Comprehensive power swing detection by current signal modeling and prediction using the GMDH method

Protection and Control of Modern Power Systems

Hossein Askarian Abyaneh¹  Seyed Amir Hosseini²  Behrooz Taheri³  Farzad Razavi³ 

[1] Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran;Department of Electrical Engineering, Golpayegan University of Technology, Isfahan, Iran;Faculty of Electrical, Biomedical and Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran;

关键词: Power swing;    Distance relay;    Power system protection;    GMDH;   

DOI  :  10.1186/s41601-021-00193-z

来源: Springer

【 摘 要 】

Power swing is an undesirable variation in power flow. This can be caused by large disturbances in demand load, switching, disconnection or reclosing lines. This phenomenon may enter the zones of distance relays and cause relay malfunction leading to the disconnection of healthy lines and undermining network reliability. Accordingly, this paper presents a new power swing detection method based on the prediction of current signal with a GMDH (Group Method of Data Handling) artificial neural network. The main advantage of the proposed method over its counterparts is the immunity to noise effect in signals. In addition, the proposed method can detect stable, unstable, and multi-mode power swings and is capable of distinguishing them from the variety of permanent faults occurring simultaneously. The method is tested for different types of power swings and simultaneous faults using DIgSILENT and MATLAB, and compared with some latest power swing detection methods. The results demonstrate the superiority of the proposed method in terms of response time, the ability to detect power swings of different varieties, and the ability to detect different faults that may occur simultaneously with power swings.

【 授权许可】

CC BY