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고장 왜란 기록기를 위한 주파수 추정 기법의 비교 연구
Comparative Studies of Frequency Estimation Method for Fault Disturbance Recorder 원문보기

전기학회논문지. The Transactions of the Korean Institute of Electrical Engineers. P, v.61 no.2, 2012년, pp.87 - 92  

박철원 (강릉원주대학교 전기공학과)

Abstract ▼ AI-Helper 아이콘AI-Helper

Voltage and current phasor estimation has been executed by GPS-based synchronized PMU, which has become an important way of wide-area blackout protection for the prevention of expending faults in a power system. The PMU technique can not easily get the field data and it is impossible to share inform...

주제어

#345kV power system   #DFT   #EMTP-RV   #FDR   #FNET   #FRDWT   #Frequency estimation   #IRDWT   #GPS   #PMU   #Wide-area blackout protection   #Wavelet Transform  

AI 본문요약
AI-Helper 아이콘 AI-Helper

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제안 방법

  • 4 shows the estimated frequency of A phase voltage by proposed two methods, when the entire load is shedding at the Gwangju[6]. In this paper, for better readability, we named the frequency estimation method using FRDWT as Method 1 and the frequency estimation method using IRDWT as Method 2, respectively. In the same manner, we named the frequency estimation method using Phase Angle Difference of Two Phasors by DFT as Method 3.
  • In this paper, we present comparative studies on the frequency estimation method using IRDWT(Improved Recursive Discrete Wavelet Transform), the frequency estimation method using FRDWT(Fast Recursive Discrete Wavelet Transform)[6,10,19～22] and the one using DFT(Discrete Fourier Transform)[9]. 345[kV] power system modeling data of the Korea by EMTP-RV are used to evaluate the performance of the proposed two kinds of RDWT and DFT.
  • A variety of disturbances such as generator rejection and load shedding were simulated. Simulation are performed on the assumption that FDR was installed at five locations (Seoul, Daejeon, Daegu, Gwangju, and Busan) as shown in Fig. 3, because the locations are the main areas where it is required to collect the signals, and thus analyze the effect on various disturbances. The sampling frequency of the test voltage data was set to 720[Hz][6,9,10].
  • This paper presented comparative studies on three methods: Method 1(the frequency estimation method using IRDWT), Method 2(the frequency estimation method using FRDWT), and Method 3(the frequency estimation method using DFT). The Republic of Korea 345[kV] power system modeling data by EMTP-RV were used in order to evaluate the performance of the proposed two kinds of RDWT and DFT. From the simulation results of the generator rejection for the Republic of Korea power system, it was confirmed that as measurement point gets farther from the one of failure, then frequency vibrations are decreased.
  • 345[kV] power system modeling data of the Korea by EMTP-RV are used to evaluate the performance of the proposed two kinds of RDWT and DFT. The simulation results show that the proposed frequency estimation technique using FRDWT could be the optimal frequency measurement method, and thus be applied to FDR.
  • This paper presented comparative studies on three methods: Method 1(the frequency estimation method using IRDWT), Method 2(the frequency estimation method using FRDWT), and Method 3(the frequency estimation method using DFT). The Republic of Korea 345[kV] power system modeling data by EMTP-RV were used in order to evaluate the performance of the proposed two kinds of RDWT and DFT.
  • To evaluate the performance of the proposed two kinds of RDWT and DFT, the Republic of Korea 345[kV] power system modeling data by EMTP-RV based on PSS/E program were used. 345[kV] power system consists of 154 generators, and the total generation is 57645.
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참고문헌 (22)

  1. A.G. Phadke, "Synchronized Phasor Measurements - A Historical Overview", IEEE PES summer meeting pp. 476-479, 2002. 

  2. Young-Hwan Mun, Tae-Hyun Kim "Korean-area power system monitoring system (K-WAMS)", The final report and presentation, pp. 44-46, 2009.8. 

  3. Z. Zhong, A.G. Phadke, Y. Liu et al., "Power System Frequency Monitoring Network (FNET) Implementation", IEEE Trans. on Power Systems, Vol. 20, No. 4, pp. 1914-1921, Nov., 2005. 

    상세보기 crossref

  4. Chul Won Park, Yoon Sang Kim, "A Monitoring System Development for a New-type of Korean FNET", International Symposium MEPS'10, P44.pdf, pp. 1-4, 2010. 9.20-22. 

  5. G. Zhang, P. Hirsch, S. Lee, "Wide Area Frequency Visualization using Smart Client Technology", IEEE PES, pp. 1-8, 2007. 

  6. Chul Won Park, et al, "Development of Network Based Frequency Monitoring and Fault Prediction System for Wide Area Intelligent Relaying", 2008 Energy R&D projects, Final Report, pp. 1-311, 2011. 11. 

  7. A.G. Phadke, J.S. Thorp, "A new measurement technique for tracking voltage phasor, local system frequency, and rate of change of frequency", IEEE Trans. on PAS., Vol. PAS-102, No. 5, pp. 1025-1034, May, 1983. 

    상세보기 crossref

  8. D. Hart, D. Novosel, Y. Hu, B. Smith, M. Egolf, "A New Frequency Tracking and Phasor Estimation Algorithm for Generator Protection", IEEE Trans. on Power Delivery, Vol. 12, No. 3, pp. 1064-1073, 1997. 

    상세보기 crossref

  9. Chul Won Park, Yoon Sang Kim, "Advanced Frequency Estimation Technique using Gain Compensation", International Symposium MEPS'10 Session 15, 15.1.pdf, pp. 1-5, 2010. 9.20-22. 

  10. Chul Won Park, Chul Hwan Kim, et al., "Study on Advanced Frequency Estimation Technique using Gain Compensation", JEET Trans, Vol. 6, No. 4, pp. 439-446, July, 2011. 

  11. C. K. Jung, K. H. Kim, C. W. Ha, J. B. Lee, Y. W. Yoon, "Improvement of Digital Distance Relaying Algorithm Using Wavelet Transform in Combined Transmission Line", KIEE Trans, Vol. 52A, No. 10, pp. 593-602, 2003. 10. 

  12. C. H. Kim, Y. H. Ko, "The Detection of Voltage Sag using Wavelet Transform", KIEE Trans. Vol. 49A, No. 9, pp. 425-432, 2000. 9. 

  13. O. Ozgonenel, E. Arisoy, M.A.S. KKhan, M.A. Rahman, "A Wavelet Power Based Algorithm For Synchronous Generator Protection", IEEE PES Summer Meeting, pp. 128-134. 2006. 6. 

  14. Zhang Chuanli, et al., "A New Approach to Detect Transformer Inrush Current by Applying Wavelet Transform", IEEE POWERCON, pp. 1040-1044, 1998. 

  15. Diao-Yan Hua, Li-Chun Ming, Shang Yan, "Wavelet-Based Fault Diagnosis Scheme For Power System Relay Protection", Proceeding of the 7th International Conference on Machine Learning and Cybernetics, pp. 2183-219, 12-15 July 2008. 

  16. Oinis Charri, et al., "WAVELETS : A New Tools for the Resonant Grounded Power Distribution System Relaying", IEEE Transactions on Power Delivery, Vol. 11, No. 3, pp. 1301-1308, July 1996. 

    상세보기 crossref

  17. Sukumar M. Brahma, Rajesh G. Kavasseri, "Investigating the Performance of Discrete Wavelet Transform for Phasor Estimation in Digital Relays", IEEE PES General Meeting, 000348.pdf, pp. 1-6, 2008. 

  18. J. Ren, M. Kezunovic, "Elimination of DC Offset in Accurate Phasor Estimation Using Recursive Wavelet Transform", IEEE Bucharest Power Tech Conference, pp. 1-5, June 28th-July 2nd, 2009. 

  19. T. Lin, M. Tsuji, E. Yamada, "A Wavelet Approach to Real Time Estimation of Power System Frequency", PR0001/01/0000-1074, pp.58-65, SICE 2001 July 25-27, 2001. 

  20. Xiang-ning Lin, Hai-feng Liu, "A Fast Recursive Wavelet Based Boundary Protection Scheme", in Proc. 2005 IEEE Power Engineering Society General Meeting, Vol. 1, pp. 722-727, June 2005. 

  21. M. Tsuji, S. Hamasaki, M. Korogi, "Characteristic of Power Series Type Wavelet Transform for Online Frequency Estimation", 1-4244-0844-X/07/$20.00 IEEE, pp. 177-182, 2007. 

  22. J. Ren, M. Kezunovic, "Use of Recursive Wavelet Transform for Estimating Power System Frequency and Phasors", IEEE PES T&D Conference, TD2010-000221, pp. 1-6, 2010. 4. 

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