A rate-of-change-of-current based fault classification technique for thyristor-controlled series-compensated transmission lines

Author:

Kothari Nishant H.12ORCID,Bhalja Bhavesh R.3,Pandya Vivek4,Tripathi Pushkar5

Affiliation:

1. Department of Electrical Engineering , RK University , Rajkot , Gujarat , India

2. Department of Electrical Engineering , Marwadi University , Rajkot , Gujarat , India

3. Department of Electrical Engineering , Indian Institute of Technology Roorkee , Roorkee , Uttarakhand , India

4. Department of Electrical Engineering , School of Technology, Pandit Deendayal Petroleum University , Raison , Gandhinagar , India

5. Department of Electrical Engineering , Institute of Engineering and Technology, Dr. A. P. J. Abdul Kalam Technical University , Lucknow , Uttar Pradesh , India

Abstract

Abstract This paper presents a new fault classification technique for Thyristor-Controlled Series-Compensated (TCSC) transmission lines using Support Vector Machine (SVM). The proposed technique is based on the utilization of post-fault magnitude of Rate-of-Change-of-Current (ROCC). Fault classification has been carried out by giving ROCC of three-phases and zero sequence current as inputs to SVM classifier. The performance of SVM as a binary-class, and multi-class classifier has been evaluated for the proposed feature. The validity of the suggested technique has been tested by modeling a TCSC based 400 kV, 300 km long transmission line using PSCAD/EMTDC software package. Based on the above model, a large number of diversified fault cases (41,220 cases) have been generated by varying fault and system parameters. The effect of window length, current transformer (CT) saturation, noise-signal, and sampling frequency have also been studied. It has been found that the proposed technique provides an accuracy of 99.98% for 37,620 test cases. Moreover, the performance of the suggested technique has also been found to be consistent upon evaluating in a 12-bus power system model consisting of a 365 kV, 60 Hz, 300 km long TCSC line. Comparative evaluation of the proposed SVM based technique with other recent techniques clearly indicates its superiority in terms of fault classification accuracy.

Publisher

Walter de Gruyter GmbH

Subject

Energy Engineering and Power Technology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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