Intelligent detection of unstable power swing for correct distance relay operation using S-transform and neural networks |
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| Authors: | Ahmad Farid Abidin Azah Mohamed Hussain Shareef |
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| Affiliation: | 1. Universitat Politècnica de Catalunya, Department of Electrical Engineering, 08222 Terrassa, Spain;2. Abengoa Research, Campus Palmas Altas, Energia Solar, 1, 41014, Seville, Spain;3. Universitat Politècnica de Catalunya, Department of Electrical Engineering and Institute of Industrial and Control Engineering, 08028, Barcelona, Spain;1. University of Tehran, Iran;2. Western University, Canada;1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China;2. College of Information Science and Technology, Shihezi University, Xinjiang, China;1. Department of Electrical Engineering, Indian Institute of Technology, Delhi, India;2. Schools of Electrical Sciences, Indian Institute of Technology, Bhubaneswar, India |
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| Abstract: | The conventional power swing schemes used in distance relay operation are not fast enough to detect and distinguish a fault, stable swing and unstable swing and this may lead to unintended tripping of protection devices. Therefore, there is a need for fast detection of unstable swings so as to improve the reliability of distance relay operation. This paper presents an intelligent approach for detecting unstable swings during distance relay operation using the S-transform signal processing technique and artificial neural networks. To illustrate the effectiveness of the proposed approach, simulations were carried out on the IEEE 39 bus test system using the PSS/E software. Test results showed that the proposed approach using S-transform, multi layer perceptron network and probabilistic neural network can accurately detect and classify fault, stable swing, unstable swing, fault clearance and post fault events for correct distance relay operation. |
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