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Quick-response protection system against electric shock in distributed generation systems

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The peculiarities of the operation of distributed generation systems lead to a change in the requirements for the reliability and safety of the power distribution systems in which they are integrated. To meet the increased requirements, continuous monitoring of the insulation parameters (active resistance and capacitance to ground) is often used with operating artificial non-industrial frequency operational signals introduced into the network. In the case of a sudden touch, such a system is not effective, since the response time of the protection device, which consists of the signal processing time and the operating of the actuator, is crucially important. For the used operational signals with a frequency of 100 and 200 Hz, the processing time using the Fourier transform is 10 ms for 100 Hz and 5 ms for 200 Hz. Considering that the response time of the fastest actuators (based on vacuum switches) is from 3 to 7 ms, this is a rather significant period of time. To develop an effective resolver system, the capabilities of the Matlab environment were used to determine the most successful design of an analog prototype (Butterworth, Bessel, Chebyshev and Cauer of 6th order) for an operational signal with a frequency of 200 Hz. As a result, the processing time was established, which varies widely from 3.5 to 19 ms. Taking into account the known indicators, namely the frequency and number of operational signals, a signal processing system was developed using the vector-matrix analysis method. As a result of modeling the processing characteristics of functional signals (at a sampling rate of 1 kHz), the system quick-response was 3 ms, with the possibility of its further decrease as its productiveness increases.
Czasopismo
Rocznik
Strony
59--65
Opis fizyczny
Bibliogr. 21 poz., rys.
Twórcy
  • Department of Power Engineering, Ukrainian State University of Chemical Technology, Gagarina 8, Dnipro, Ukraine
  • Department of Control Systems, Institute of Transport Systems and Technologies of NAS of Ukraine, Pisarzhevsky str., 5, Dnipro, Ukraine
  • Department of Renewable Energy, Igor Sikorsky Kyiv Polytechnic Institute, Peremohy ave., 37, Kyiv, Ukraine, 03056
  • Electric Power Department, Railway Research Institute_4, Chlopickiego str., 50, Warsaw, Poland
  • Department of Control Systems, Institute of Transport Systems and Technologies of NAS of Ukraine, Pisarzhevsky str., 5, Dnipro, Ukraine
  • Foreign Language Department, Dnipro National University of Railway Transport, Lazariana 2, Dnipro, Ukraine
Bibliografia
  • 1. Renewable Energy in Poland. 2009;(November):20.
  • 2. Ramesh MV, Mohan N, Devidas AR. Micro grid architecture for line fault detection and isolation. SMARTGREENS 2015 - 4th Int Conf Smart Cities Green ICT Syst Proc. 2015;250-5.
  • 3. Hare J, Shi X, Gupta S, Bazzi A. Fault diagnostics in smart micro-grids: A survey. Renew Sustain Energy Rev. 2016;60:1114-24. http://dx.doi.org/10.1016/j.rser.2016.01.122.
  • 4. Ostapchuk O, Kruczek W, Kuznetsov V, Kuznetsov VV, Tsyplenkov D. Analysis of the neutral grounding modes influence on the reliability characteristics of local systems with renewable energy sources. Diagnostyka. 2021;22(1):45-56. http://dx.doi.org/10.29354/diag/132834.
  • 5. Javadian SAM, Haghifam MR, Fotuhi Firoozabad M, Bathaee SMT. Analysis of protection system’s risk in distribution networks with DG. Int J Electr Power Energy Syst. 2013;44(1):688-95. http://dx.doi.org/10.1016/j.ijepes.2012.08.034.
  • 6. Conti S. Analysis of distribution network protection issues in presence of dispersed generation. Electr Power Syst Res. 2009;79(1):49-56.
  • 7. Lopes JAP, Hatziargyriou N, Mutale J, Djapic P, Jenkins N. Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities. Electr Power Syst Res. 2007;77(9):1189-203.
  • 8. Van Vugt P, Bijman R, Timens RB, Leferink F. Impact of grounding and filtering on power insulation monitoring in insulated terrestrial power networks. IEEE Int. Symp. Electromagn Compat. 2013;472-7.
  • 9. Jiang H, Xu G, Li Q. Research on insulation state monitoring network technique for vessel electric network. ICEMS 2005 Proc Eighth Int Conf Electr Mach Syst. 2005;3:2250-3.
  • 10. Olszowiec P. Insulation Measurement and Supervision in Live AC and DC Unearthed Systems. 2013.
  • 11. Cong W, Pan Z, Zheng G, Jing H, Zhang F, Zhang Q. Study on single phase to ground fault site location method based on injection signal and GSM short message. IET Conf Publ. 2008;1(536 CP):365-9.
  • 12. Li J, Liang J. 10kV straight line fault location based on Signal injection method. PEAM 2011 - Proc 2011 IEEE Power Eng Autom Conf. 2011;2:512-5.
  • 13. He Z, Zhang J, Li WH, Lin X. Improved faultlocation system for railway distribution system using superimposed signal. IEEE Trans Power Deliv. 2010;25(3):1899-911.
  • 14. Yi M, Huijiao L. An improved matrix algorithm for fault location in distribution network. Proc 2013 3rd Int Conf Intell Syst Des Eng Appl ISDEA 2013. 2013;289-93.
  • 15. Bai Y, Cong W, Li J, Ding L, Lu Q, Yang N. Single phase to earth fault location method in distribution network based on signal injection principle. DRPT 2011 - 2011 4th Int Conf Electr Util Deregul Restruct Power Technol. 2011;(50807032):204-8.
  • 16. Druml G. New method for the state evaluation of the zero-sequence system. 2005; (15th PSCC, Liege, 22-26 August 2005):Session 39, Paper 2, Page 1-7.
  • 17. Shkrabets F. Implementation of the insulation resistance control method for high-voltage grids of coal mines /F. Shkrabets, O. Ostapchuk//Power Engineering, Control and Information Technologies in Geotechnical Systems: Taylor & Francis Group, London.
  • 18. Vacuum Circuit Breakers 06C1-E-0004a http://www.fujielectric.co.jp.
  • 19. EN 50522: 2011 Groundingof power installations exceeding 1 kV AC.
  • 20. Giron-Sierra J.M. Digital Signal Processing with MATLAB Examples, Volume 1: Signals and Data, Filtering, Non-stationary Signals, Modulation Universidad Complutense de Madrid, Madrid, Spain, Springen, 2017. http://dx.doi.org/10.1007/978-981-10-2534-1.
  • 21. Estimation of the Amplitude and Phase of Sinusoids /Barry Van Veen//Access mode: https://allsignalprocessing.com/estimation-of-theamplitude-and-phase-of-sinusoids-in-noise.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9e4a9755-8b43-44df-bf54-2bb554cc6925
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