FOREIGN OBJECT INTRUSION DETECTION AND EARLY WARNING IN SUBSTATION VIDEO SURVEILLANCE BASED ON DEEP LEARNING, 46-57.

Jiajie Jin, Hao Qin, Wei Sun, Yucheng Qian, Haigang Wang, Zhi Wang, Jiyong Zhou, and Xiongfeng Huang

References

  1. [1] W. Pavon, E. Inga, S. Simani, and M. Nonato, A reviewon optimal control for the smart grid electrical substationenhancing transition stability, Energies, 14(24), 2021, 8451.https://doi.org/10.3390/en14248451
  2. [2] M. Song, Z. Wang, Q. Jiang, and H. Sun, Design and implemen-tation of intelligent monitoring system for substation, IndustrialInstrumentation and Automation Devices, 2023(3), 2023, 8–11.https://doi.org/10.19950/j.cnki.cn61-1121/th.2023.03.002
  3. [3] N. Kumar, T. Mulo, and V.P. Verma, Application of computerand modern automation system for protection and optimum useof high voltage power transformer, in Proceeding InternationalConference on Computer Communication and Informatics,2013, 1-5. https://doi.org/10.1109/ICCCI.2013.6466257
  4. [4] Z. Zhang, An intelligent fusion object-detection algorithm forsmart substation system, International Journal of Power and55Energy Systems, 43, 2023, 1–7. https://dx.doi.org/10.2316/J.2023.203-0435
  5. [5] H. Liao, F. Tang, B. Rao, F. Li, Y. Wang, Y. Hao, R.Bai, and M. Shao, The analysis on diversity and habits ofbirds in electric substations and surrounding transmissionlines from Jiangxi province, Journal of Jiangxi NormalUniversity (Natural Science Edition), 46(6), 2022, 568–574.https://doi.org/10.16357/j.cnki.issn1000-5862.2022.06.03
  6. [6] J. Wu and X. Chen, An identification method for voltage sagin distribution systems using SVM with grey wolf algorithm,International Journal of Power and Energy Systems, 44, 2024,1–10. https://dx.doi.org/10.2316/J.2024.203-0434
  7. [7] N. Kumar, V. Saxena, B. Singh, and B.K. Panigrahi,Power quality improved grid-interfaced PV assisted onboardEV charging infrastructure for smart households consumers,IEEE Transactions on Consumer Electronics, 29(4), 2023,1091–1100. https://doi.org/10.1109/TCE.2023.3296480
  8. [8] N. Kumar, H.K. Singh, and R. Niwareeba, Adaptivecontrol technique for portable solar powered EV chargingadapter to operate in remote location, IEEE OpenJournal of Circuits and Systems, 4, 2023, 115–125.https://doi.org/10.1109/OJCAS.2023.3247573
  9. [9] N. Kumar, EV charging adapter to operate with iso-lated pillar top solar panels in remote locations, IEEETransactions on Energy Conversion, 39(1), 2023, 29–36.https://doi.org/10.1109/TEC.2023.3298817
  10. [10] Z. Xiao and Q. Xu, Recognition of foreign objects intrusion insubstation based on improved convolutional neural network,Science Technology and Engineering, 22(4), 2022, 1465–1471.https://doi.org/10.3969/j.issn.1671-1815.2022.04.021
  11. [11] W. Tang and H. Chen, Research on intelligent substationmonitoring by image recognition method, International Journalof Emerging Electric Power Systems, 22(1), 2021, 1–7.https://doi.org/10.1515/ijeeps-2020-0189
  12. [12] P. Lin, C. Chen, S. Xu, F. Cai, and H. Liao, On-line monitoringof foreign body intrusion in substation based on fusion imageand infrared sensing, Electronic Design Engineering, 31(15),2023, 178–181, 186. https://doi.org/10.14022/j.issn1674-6236.2023.15.036
  13. [13] Y. Wang, L. Zeng, Y. Gao, Q. Lu, and J. Ye, Detection methodof illegal intrusion of substation moving targets based onvideo analysis, Information Technology, 46(9), 2022, 191–196.https://doi.org/10.13274/j.cnki.hdzj.2022.09.035
  14. [14] J. Tang, X. Zhuo, X. Qi, and W. Wang, Researchon target tracking of monitoring rats invasion aroundsubstation, Automation & Instrumentation, 37(1), 2022, 60–65.https://doi.org/10.19557/j.cnki.1001-9944.2022.01.013
  15. [15] N. Kumar, V. Saxena, B. Singh, and B.K. Panigrahi, Intuitivecontrol technique for grid connected partially shaded solar PV-based distributed generating system, IET Renewable PowerGeneration, 14(4), 2020, 600–607. https://doi.org/10.1049/iet-rpg.2018.6034
  16. [16] S.S, Sukanya and N. Kumar, Framework of maximum powerpoint tracking for solar PV panel using WSPS technique,IET Renewable Power Generation, 14(10), 2020, 1668–1676.https://doi.org/10.1049/iet-rpg.2019.1132
  17. [17] S.S. Satapathy and N. Kumar, Modulated perturb and observemaximum power point tracking algorithm for solar PV energyconversion system, in Proceeding of the 3rd InternationalConference on Recent Developments in Control, Automation &Power Engineering (RDCAPE), IEEE, Noida, 2019, 345–350.https://doi.org/10.1109/RDCAPE47089.2019.8979025
  18. [18] N. Kumar, B.K. Panigrahi, and B. Singh, A solution tothe ramp rate and prohibited operating zone constrainedunit commitment by GHS-JGT evolutionary algorithm,International Journal of Electrical Power & Energy Systems,81, 2016, 193–203. https://doi.org/10.1016/j.ijepes.2016.02.024
  19. [19] Y.F. Zhang, W. Ren, Z. Zhang, Z. Jia, L. Wang,and T. Tan, Focal and efficient IOU loss for accuratebounding box regression, Neurocomputing, 506, 2022, 146–157.https://doi.org/10.1016/j.neucom.2022.07.042
  20. [20] J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, and H. Hu,Deformable convolutional networks, in Proceeding of the IEEEInternational Conference on Computer Vision (ICCV), Venice,2017, 764–773. https://doi.org/10.1109/ICCV.2017.89
  21. [21] Y. Zhang, P. Sun, Y. Jiang, D. Yu, F. Weng, Z. Yuan,P. Luo, and W. Liu, Bytetrack: Multi-object trackingby associating every detection box, in Proceeding of theEuropean Conference on Computer Vision, Cham, 2022, 1–21.https://doi.org/10.1007/978-3-031-20047-2 1
  22. [22] S. Ariafar, S.H. Moosavirad, and A. Soltanpour, Improv-ing classic hungarian algorithm considering uncertaintyby applying for grey numbers, International Journal ofResearch in Industrial Engineering, 12(3), 2023, 321–336.https://doi.org/10.22105/riej.2023.345845.1344

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