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

Abstract

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.

An overview of power swing detection methods in distance relays and the factors involved

“…This method has the ability to detect different types of PS and their simultaneous faults. In addition, low operating time is the most essential feature of this method [23]. It should be noted that all the methods reviewed in this section require a threshold value for proper performance [16,35,44].…”

“…Whenever the IMF value exceeds the threshold value, the algorithm considers it as a fault. The most important drawback of the proposed method in [3] is its problem in detecting PS in different networks and its requirement for complex analysis to find the appropriate IMF [23].…”

“…Detection of PS in power systems is very crucial. Failure to detect PS or simultaneous faults that occur during PS can cause instability in the network or even global blackout [23].…”

“…Detection of PS in power systems is very crucial. Failure to detect PS or simultaneous faults that occur during PS can cause instability in the network or even global blackout [23]. According to [16], a lack of accurate and timely diagnosis of PS caused various blackouts in Malaysia, Italy, Brazil, and India between 2003 and 2012.…”

A Fault Signal Processing Method Based on An Improved Prony Algorithm

“…Numerous works have studied methods to ensure the safety of power grids (Shen et al, 2017;Liu et al, 2020b;Shen et al, 2020b;Li et al, 2021a;Shen et al, 2021b;Hosseini et al, 2021). In the study of Li et al (2021a), a combined high voltage direct current measurement method is present to improve the extraction accuracy of the measured signal.…”