In order to improve the reliability of busbar protection, a new fast busbar protection algorithm based on active power and extreme learning machine is proposed. By performing S-transformation on the fault voltage and current traveling wave, the active power amplitude within 0.1 ms after the fault is obtained. Simulate different fault types in the busbar area and build a bus fault feature vector sample set. The intelligent model of fault learning of extreme learning machine is established, and the sample set is used for training and testing to realize bus fault area identification. The simulation results show that the proposed busbar protection method can identify faults in the busbar area sensitively and reliably.
Cite this paper
Gilani, S. H. L. , Dong, X. and Xu, H. (2020). New Principle of Busbar Protection Based on Active Power and Extreme Learning Machine. Open Access Library Journal, 7, e6167. doi: http://dx.doi.org/10.4236/oalib.1106167.
Solovev, D.B. and Kuzora, S.S. (2016) Implementation of Noise-Immune Rogowski Coils for Busbar Differential Protection Modernization. Electric Power Systems Research, 140, 965-966. https://doi.org/10.1016/j.epsr.2016.03.039
Gil, M. and Abdoos, A.A. (2017) Intelligent Busbar Protection Scheme Based on Combination of Support Vector Machine and S-Transform. IET Generation, Transmission & Distribution, 11, 2056-2064.
Zou, G.B. and Gao, H.L. (2013) Fast Pilot Protection Method Based on Waveform Integral of Traveling Wave. International Journal of Electrical Power & Energy Systems, No. 50, 1-8. https://doi.org/10.1016/j.ijepes.2013.02.009
Wu, H., Dong, X.X. and Wang, Q.M. (2019) A New Principle for Initial Traveling Wave Active Power Differential Busbar Protection. IEEE Access, 7, 70495-70512.
Wu, H., Dong, X.X. and Ye, R.K. (2019) A New Algorithm for Busbar Protection Based on the Comparison of Initial Traveling Wave Power. IEEJ Transactions on Electrical and Electronic Engineering, 14, 520-533.
Li, X.P., He, Z.Y., Wu, X., et al. (2014) Ultra High Spend Directional Element Based on Amplitude Comparison Using S-Transform Energy Relative Enteopy. Automation of Electric Power Systems, 38, 113-116.
Chothani, N.G. and Bhalja, B.R. (2016) A New Algorithm for Busbar Fault Zone Identification Using Relevance Vector Machine. Electric Power Components and Systems, 44, 193-205. https://doi.org/10.1080/15325008.2015.1101725