109
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

A Novel Approach for Detecting and Analyzing the Shunt Fault in Electrical Power Distribution System (EPDS)

ORCID Icon &
Pages 188-211 | Received 21 Sep 2022, Accepted 03 Jan 2023, Published online: 23 Jan 2023

References

  • M. Pignati, L. Zanni, P. Romano, et al., “Fault detection and faulted line identification in active distribution networks using synchrophasors-based real-time state estimation,” IEEE Trans. Power Deliv., vol. 32, pp. 381–392, 2017. DOI: 10.1109/TPWRD.2016.2545923.
  • Y. Bansal and R. Sodhi, “PMUs enabled tellegen’s theorem-based fault identification method for unbalanced active distribution network using RTDS,” IEEE Syst. J., vol. 14, pp. 4567–4578, 2020. DOI: 10.1109/JSYST.2020.2976736.
  • M. Gilanifar, J. Cordova, H. Wang, et al., “Multi-task logistic low-ranked dirty model for fault detection in power distribution system,” IEEE Trans. Smart Grid, vol. 11, pp. 786–796, 2020. DOI: 10.1109/TSG.2019.2938989.
  • M. Wei, F. Shi, H. Zhang, et al., “High impedance arc fault detection based on the harmonic randomness and waveform distortion in the distribution system,” IEEE Trans. Power Deliv., vol. 35, pp. 837–850, 2020. DOI: 10.1109/TPWRD.2019.2929329.
  • M. Gholami, A. Abbaspour, M. Moeini-Aghtaie, et al., “Detecting the location of short-circuit faults in active distribution network using PMU-based state estimation,” IEEE Trans. Smart Grid, vol. 11, pp. 1396–1406, 2020. DOI: 10.1109/TSG.2019.2937944.
  • Q. Cui and Y. Weng, “Enhance high impedance fault detection and location accuracy via\mu -PMUs,” IEEE Trans. Smart Grid, vol. 11, pp. 797–809, 2020. DOI: 10.1109/TSG.2019.2926668.
  • N. K. Sharma and S. R. Samantaray, “PMU assisted integrated impedance angle-based microgrid protection scheme,” IEEE Trans. Power Deliv., vol. 35, pp. 183–193, 2020. DOI: 10.1109/TPWRD.2019.2925887.
  • M. Jamei, R. Ramakrishna, T. Tesfay, et al., “Phasor measurement units optimal placement and performance limits for fault localization,” IEEE J. Sel. Areas Commun., vol. 38, pp. 180–192, 2020. DOI: 10.1109/JSAC.2019.2951971.
  • F. Ding, C. D. Booth and A. J. Roscoe, “Peak-ratio analysis method for enhancement of LOM protection using M-class PMUs,” IEEE Trans. Smart Grid, vol. 7, pp. 291–299, 2016. DOI: 10.1109/TSG.2015.2439512.
  • Y. Guo, K. Li, D. M. Laverty and Y. Xue, “Synchrophasor-based islanding detection for distributed generation systems using systematic principal component analysis approaches,” IEEE Trans. Power Deliv., vol. 30, pp. 2544–2552, 2015. DOI: 10.1109/TPWRD.2015.2435158.
  • L. Chen, W. Zhao, F. Wang and S. Huang, “Harmonic phasor estimator for P-class phasor measurement units,” IEEE Trans. Instrum. Meas., vol. 69, pp. 1556–1565, 2020. DOI: 10.1109/TIM.2019.2916961.
  • M. S. Almas and L. Vanfretti, “RT-HIL implementation of the hybrid synchrophasor and GOOSE-based passive islanding schemes,” IEEE Trans. Power Deliv., vol. 31, pp. 1299–1309, 2016. DOI: 10.1109/TPWRD.2015.2473669.
  • Y. Zhao, J. Chen, A. Goldsmith and H. V. Poor, “Identification of outages in power systems with uncertain states and optimal sensor locations,” IEEE J. Sel. Top. Signal. Process., vol. 8, pp. 1140–1153, 2014. DOI: 10.1109/JSTSP.2014.2342191.
  • X. Chai, T. Liu, C. Xing, et al., “Throughput improvement in cellular networks via full-duplex based device-to-device communications,” IEEE Access, vol. 4, pp. 7645–7657, 2016. DOI: 10.1109/ACCESS.2016.2619379.
  • D. Kumar and P. S. Bhowmik, “Hidden markov model based islanding prediction in smart grids,” IEEE Syst. J., vol. 13, pp. 4181–4189, 2019. DOI: 10.1109/JSYST.2019.2911055.
  • M. U. Usman and M. O. Faruque, “Applications of synchrophasor technologies in power systems,” J. Mod. Power Syst. Clean Energy, vol. 7, pp. 211–226, 2019. DOI: 10.1007/s40565-018-0455-8.
  • Y. Bansal and R. Sodhi, “A half-cycle fast discrete orthonormal S-transform-based protection-class μPMU,” IEEE. Trans. Instrum. Meas., vol. 69, pp. 6934–6945, 2020. DOI: 10.1109/TIM.2020.2980339.
  • Y. Seyedi, H. Karimi, C. Wetté and B. Sansó, “A new approach to reliability assessment and improvement of synchrophasor communications in smart grids,” IEEE Trans. Smart Grid, vol. 11, pp. 4415–4426, 2020. DOI: 10.1109/TSG.2020.2993944.
  • M. G. M. Zanjani, H. K. Kargar and M. G. M. Zanjani, “High impedance fault detection of distribution network by phasor measurement units,” presented at 2012 Proc 17th Conf Electr Power Distrib EPDC 2012, vol. 2013, pp. 297–305, 2012. DOI: 10.4236/sgre.2013.43036.
  • W. Ali, A. Ulasyar, M. U. Mehmood, et al., “Hierarchical control of microgrid using IoT and machine learning based islanding detection,” IEEE Access, vol. 9, pp. 103019–103031, 2021. DOI: 10.1109/ACCESS.2021.3098163.
  • Z. Wu, X. Du, W. Gu, et al., “Optimal micro-PMU placement using mutual information theory in distribution networks,” Energies, vol. 11, 2018. DOI: 10.3390/en11071917.
  • A. Lal, T. Kedia and A. Verma, “Underground cable fault distance locator and counter based damaged cable replacement indicator system,” J. Inst. Eng. Ser. B, vol. 101, pp. 299–308, 2020. DOI: 10.1007/s40031-020-00453-w.
  • Z. Dai, H. Su, M. Huang, et al., “Fault analysis on DC transmission system of PV generation,” Int. Trans. Electr. Energy Syst., vol. 29, pp. 1–14, 2019. DOI: 10.1002/etep.2721.
  • S. Xie, X. Wang, C. Qu, et al., “Impacts of different wind speed simulation methods on conditional reliability indices,” Int. Trans. Electr. Energy Syst., vol. 20, pp. 1–6, 2013. DOI: 10.1002/etep.
  • K. H. Youssef and F. M. Abouelenin, “Analysis of simultaneous unbalanced short circuit and open conductor faults in power systems with untransposed lines and six-phase sections,” Alexandria Eng. J., vol. 55, pp. 369–377, 2016. DOI: 10.1016/j.aej.2016.01.020.
  • H. Ben Mahdhi, H. Ben Azza and M. Jemli, “Experimental investigation of an open-switch fault diagnosis approach in the IGBT-based power converter connected to permanent magnet synchronous generator-DC system,” Int. Trans. Electr. Energy Syst., vol. 30, pp. 1–15, 2020. DOI: 10.1002/2050-7038.12436.
  • Y. Xu, J. Liu and Y. Fu, “Fault-line selection and fault-type recognition in DC systems based on graph theory,” Prot. Control Mod. Power Syst., vol. 3, 2018. DOI: 10.1186/s41601-018-0098-9.
  • T. Tamilvizhi and B. Parvathavarthini, “A novel method for adaptive fault tolerance during load balancing in cloud computing,” Cluster Comput., vol. 22, pp. 10425–10438, 2019. DOI: 10.1007/s10586-017-1038-6.
  • M. A. Elsadd, N. I. Elkalashy, T. A. Kawady and A. M. I. Taalab, “Earth fault location determination independent of fault impedance for distribution networks,” Int. Trans. Electr. Energy Syst., vol. 27, pp. 1–16, 2017. DOI: 10.1002/etep.2307.
  • J. Yang, J. E. Fletcher and J. O’Reilly, “Short-circuit and ground fault analyses and location in VSC-based DC network cables,” IEEE Trans. Ind. Electron., vol. 59, pp. 3827–3837, 2012. DOI: 10.1109/TIE.2011.2162712.
  • K. M. Lee, J. W. Kim and C. W. Park, “Detection method of pole to ground fault in ungrounded LVDC distribution grid using DWT,” J. Electr. Eng. Technol., vol. 14, pp. 1529–1536, 2019. DOI: 10.1007/s42835-019-00191-0.
  • J. H. Lee, M. S. Park, H. S. Ahn, et al., “Method for protection of single-line-ground fault of distribution system with DG using distance relay and directional relay,” J. Electr. Eng. Technol., vol. 15, pp. 1607–1616, 2020. DOI: 10.1007/s42835-020-00452-3.
  • C. Pavlatos, V. Vita, A. C. Dimopoulos and L. Ekonomou, “Transmission lines’ fault detection using syntactic pattern recognition,” Energy Syst., vol. 10, pp. 299–320, 2019. DOI: 10.1007/s12667-018-0284-x.
  • R. Uddin, A. S. Alghamdi, M. H. Uddin, et al., “Ethernet-based fault diagnosis and control in smart grid: A stochastic analysis via Markovian model checking,” J. Electr. Eng. Technol., vol. 14, pp. 2289–2300, 2019. DOI: 10.1007/s42835-019-00287-7.
  • N. Narasimhulu, D. V. A. Kumar and M. V. Kumar, “LWT based ANN with ant lion optimizer for detection and classification of high impedance faults in distribution system,” J. Electr. Eng. Technol., vol. 15, pp. 1631–1650, 2020. DOI: 10.1007/s42835-020-00456-z.
  • O. Dharmapandit, R. K. Patnaik and P. K. Dash, “Detection, classification, and location of faults on grid-connected and islanded AC microgrid,” Int. Trans. Electr. Energy Syst., vol. 27, pp. 1–33, 2017. DOI: 10.1002/etep.2431.
  • B. Kasztenny, M. Thompson and N. Fischer, 2010. “Fundamentals of short-circuit protection for transformers,” 2010 63rd Annu Conf Prot Relay Eng. DOI: 10.1109/CPRE.2010.5469520.
  • A. Swetapadma and A. Yadav, “An artificial neural network-based solution to locate the multilocation faults in double circuit series capacitor compensated transmission lines,” Int. Trans. Electr. Energy Syst., vol. 28, pp. 1–20, 2018. DOI: 10.1002/etep.2517.
  • C. Li, P. Rakhra, P. Norman, et al., “Metrology requirements of state‐of‐the‐art protection schemes for DC microgrids,” J. Eng., vol. 2018, pp. 987–992, 2018. DOI: 10.1049/joe.2018.0254.
  • M. Rizwan, L. Hong, M. Waseem and W. Shu, “Sustainable protection coordination in presence of distributed generation with distributed network,” Int. Trans. Electr. Energy Syst., vol. 30, pp. 1–23, 2020. DOI: 10.1002/2050-7038.12217.
  • N. L. Georgijevic, D. Stojic and Z. Radakovic, “Series arc fault detection in photovoltaic system by small-signal impedance and noise monitoring,” Int. Trans. Electr. Energy Syst., vol. 30, 2020. DOI: 10.1002/2050-7038.12234.
  • J. Xie, D. Wu, J. Wang and C. Liu, “The analysis of additive noise of thermal test low-frequency cable fault detection based on M sequence correlation algorithm,” Cluster Comput., vol. 22, pp. 9303–9312, 2019. DOI: 10.1007/s10586-018-2130-2.
  • D. Somani, “Analysis of fault under power system and simulation of short circuit order,” Int. J. Inf. Technol. Manag., vol. 14, pp. 63–67, 2019.
  • M. R. Hans, 2017. “Identification of underground cable,” pp. 5–8.
  • P. Kumar, P. Verma, R. Singh and R. K. Patel. Proceeding of International Conference on Intelligent Communication, Control and Devices, pp. 979–989, 2016. DOI: 10.1007/978-981-10-1708-7.
  • Z. Tong, S. Lanxiang, L. Jianchang, et al., “Fault diagnosis and location method for active distribution network based on artificial neural network,” Electr. Power. Components Syst., vol. 46, pp. 985–996, 2018. DOI: 10.1080/15325008.2018.1460884.
  • P. Gopakumar, M. J. B. Reddy and D. K. Mohanta, “Fault detection and localization methodology for self-healing in smart power grids incorporating phasor measurement units,” Electr Power Compon. Syst, vol. 43, pp. 695–710, 2015. DOI: 10.1080/15325008.2014.995839.
  • N. Roy and K. Bhattacharya, “Detection, classification, and estimation of fault location on an overhead transmission line using s-transform and neural network,” Electr. Power Compon. Syst., vol. 43, pp. 461–472, 2015. DOI: 10.1080/15325008.2014.986776.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.