Abstract
The out of step condition occurs mainly due to the propagation of fault throughout the power system network. The fault may be due to power swings, phase faults, loss of excitation, under or over frequency. Particularly, in synchronous generators, the loss of excitation causes the out of step condition which leads to the wide-area blackout. In this paper, the synchronous generator’s frequency, phase and magnitude of voltage are directly observed from the PMUs connected to its respective buses. The responses of synchronous generator for different operating conditions are observed directly from the PMU. This procedure is developed and tested in MATLAB/Simulink software. The PMU data is extracted to classify the loss of excitation(LOE) fault, three-phase faults and the normal operating condition using one of the premiers supervised machine learning algorithms called Support Vector Machine algorithm. The propound algorithm is done in MATLAB environment and tested in IEEE 14 bus system. The results project the performance of the algorithm for fault classification in synchronous generators.
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References
Alinezhad, B., Karegar, H.K.: Out-of-step protection based on equal area criterion. IEEE Trans. Power Syst. 32(2), 968–977 (2017)
Ariff, M.A.M., Pal, B.C.: Adaptive protection and control in power systems for wide area blackout prevention. IEEE Tran. Power Delivery 11(4), 1815–1825 (2016)
Yaghobi, H.: Fast discrimination of stable power swing with synchronous Generator loss of excitation. IET Gener. Transm. Distrib. 10(7), 1682–1690 (2016)
Noroozi, N., Yaghobi, H., Alinejad Beromi, Y.: Analytical approach for synchronous generator loss of excitation protection. IET J. 11(9), 2222–2231 (2017)
Zhang, S., Zhang, Y.: Characteristics analysis and calculation of frequencies of voltages in out of step oscillation power system and a frequency based out of step protection. IEEE Trans. Power Syst. 34(1), 205–214 (2019)
Regulski, P., Rebizant, W., Kereit, M., Hersmann, H.-J.: PMU based Generator out of Step Protection, vol. 51, issue no 28, pp. 79–84. IFAC-paperOnline, Elsevier (2018)
Kiaei, I., Lotfifard, S., Bose, A.: Secure LOE detection method for synchronous generators during power swing conditions. IEEE Trans. Energy Conv. 33(4), 1907–1916 (2018)
Ostojic, M., Djuric, M.B.: Out of step protection of synchronous generators based on a digital phase comparison in the time domain. IET Gener. Transm. Distrib. 12(7), 873–879 (2018)
Mahamedi, B., Zhu, J.G., Hashemi, S.M.: A setting free approach to detecting LOE in synchronous generator. IEEE Tran. Power Delivery 31(5), 2270–2278 (2016)
Pandey, P., Sharma, S.K.: Detecting power grid synchronism failure on sensing bad voltage or frequency. Int. J. Sci. Res. Dev. 6(1), 1170–1182 (2017)
Fei, T., Jian, Y., Qingfen, L., Yifei, W., Jun, J.: Out of step oscillation splitting criterion based on bus voltage frequency. J. Mod. Power Syst. Clean Energy 3(3), 341–352 (2015)
Mojdeh, A.-K., Vittal, Vi: Modeling protection systems in time-domain simulations: a new method to detect mis-operating relays for unstable power swings. IEEE Trans. Power Syst. 32(4), 2790–2798 (2017)
Farantatos, E., Huang, R., Cokkinides, G.J., Meliopoulos, A.P.: A predictive generator out-of-step protection and transient stability monitoring scheme enabled by a distributed dynamic state estimator. IEEE Trans. Power Delivery 31(4), 1826–1835 (2016)
Abedini, M., Davarpanah, M., Sanaye-Pasand, M., Hashemi, S.M., Iravani, R.: Generator out-of-step prediction based on faster-than-real-time analysis: concepts and applications. IEEE Trans. Power Syst. 33(4), 4563–4573 (2018)
Yaghobi, H.: Out of step protection of generator using analysis of angular velocity and acceleration data measured from magnetic flux. Electr. Power Syst. Res. 132, 9–21 (2016)
Ray, P., Mishra, D.P.: Support vector machine based fault classification and location of a long transmission line. Eng. Sci. Technol. Int. J. 19(3), 1368–1380 (2019)
Jain, A., Archana, T.C., Sahoo, M.B.K.: A methodology for fault detection and classification using PMU measurements. In: 20th National Power Systems Conference (NPSC) (2018)
Acknowledgements
The authors are grateful to the authorities of Thiagarajar College of Engineering, Madurai-625015, to do this research work. This work was aided by DST-WOS-A fellowship scheme under Ref DST–WOS-A File No: SR/WOS-A/ET-9/2018 (2019-2021).
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Hemavathi, R., Deborah, I.L., Geethanjali, M. (2021). A Novel Adaptive Out of Step Protection in Synchronous Generators Using Support Vector Machine Algorithm. In: Bhateja, V., Peng, SL., Satapathy, S.C., Zhang, YD. (eds) Evolution in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1176. Springer, Singapore. https://doi.org/10.1007/978-981-15-5788-0_33
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DOI: https://doi.org/10.1007/978-981-15-5788-0_33
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