The Transactions of the Korean Institute of Electrical Engineers P (전기학회논문지P)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지
DOI QR코드

DOI QR Code

Development of Current Harmonics Estimation Method by Considering the Characteristics of Input Voltage

인가전압의 특성을 고려한 주거용 부하의 전류성분 추정기법 개발

  • 지평식 (충주대학교 전기공학과)
  • Received : 2011.08.10
  • Accepted : 2011.09.07
  • Published : 2011.12.01
Download PDF
⟨ Previous Next ⟩

Abstract

Due to the increasing of nonlinear loads such as converters and inverters connected to the electric power distribution system, and extensive application of harmonic generation sources with power electronic devices, disturbance of the electric power system and its influences on industries have been continuously increasing. Thus, it is difficult to construct accurate load model for active and reactive power in environments with harmonics. In this research, we develop current harmonics estimation method based on Extreme Learning Machine (ELM) with fast learning procedure for residential loads. Using data sets acquired from various residential loads, the proposed method has been intensively tested. As the experimental results, we confirm that the proposed method makes it possible to effective estimate current harmonics for various input voltage.

Keywords

References

  1. Mau Teng Au and J. V. Milanovic, "Development of Stochastic Aggregate Harmonic Load Model Based on Field Measurements," IEEE Trans. on Power Delivery, Vol. 22, pp. 323-330, 2007. https://doi.org/10.1109/TPWRD.2006.881455
  2. Hsiung Cheng Lin, "Intelligent Neural Network-Based Fast Power System Harmonic Detection," IEEE Trans. on Industrial Electronics, Vol. 54, pp. 43-52, 2007. https://doi.org/10.1109/TIE.2006.888685
  3. Huaiwei Liao, "Power System Harmonic State Estimation and Observability Analysis via Sparsity Maximization," IEEE Trans. on Power Systems, Vol. 22, pp. 15-23, 2007. https://doi.org/10.1109/TPWRS.2006.887957
  4. 한국전력공사 기술연구원, "전력계통 안정도 해석을 위한 적정부하 모델에 관한 연구" KRC-88S-J02, 1989.
  5. 지평식, "신경회로망에 의한 부하모델링과 계통해석에 관한 연구", 충북대학교 대학원 박사학위 논문, 1998.
  6. 김정훈 외, "전력계통 안정도 정밀해석을 위한 적정부하모델에 대한 연구" 한국전력공사 전력연구원 연구보고서, 2000.
  7. 이병하, 김정훈, "전력산업구조개편하에서 전력계통 운용과 계획을 위한 부하역률모델 개발에 관한 연구", 기초전력연구원 연구보고서, 2004.
  8. D.M. Vilathgamuwa, Wijekoon, H.M, "Representation of Power System Load Dynamics with ANN for Real-time application," Power Engineering Society General Meeting, Vol. 3, pp. 13-17, 2003.
  9. Dingguo Chen, Ronald R. Mohler, "Neural-Network-Based Load Modeling and Its Use in Voltage Stability Analysis," IEEE Trans. on Control Systems Technology, Vol. 11, No. 11, pp. 460-470, 2003. https://doi.org/10.1109/TCST.2003.813400
  10. V. Knyazkin, C. A. Canizares, L. H. Soder, "On the Parameter Estimation and Modeling of Aggregate Power System Load," IEEE Trans. on Power System, Vol. 19, No. 2, pp. 0123-1031, 2004.
  11. A. Keyhani, W. Wu, G. T. Heydt, "Composite Neural Network Load Models for Power System Stability Analysis," IEEE PES 2004, Vol. 2, pp. 1159-1163, 2004.
  12. I. A. Hiskens, J. Alseddiqui, "Sensitivity, Approximation, and Uncertainty in Power System Dynamic Simulation," IEEE Trans. on Power Systems, Vol. 21, pp. 1808-1820, 2006. https://doi.org/10.1109/TPWRS.2006.882460
  13. Qian Ai, Danzhen Gu, Chen Chen, "New Load Modeling Approach Based on Field Tests for Fast Transient Stability Calculation," IEEE Trans. on Power Systems, Vol. 21, pp. 1864-1873, 2006. https://doi.org/10.1109/TPWRS.2006.882452
  14. He Renmu, Ma Jin, David J. Hill, "Composite Load Modeling via Measurement Approach," IEEE Trans. on Power Systems, Vol. 21, pp. 663-672, 2006. https://doi.org/10.1109/TPWRS.2006.873130
  15. G. B. Huang, Q. Y. Zhu, and C. K. Siew, "Extreme learning machine: a new learning scheme of feedforward neural networks," in Proc. 2004 IEEE Int. Conf. Neural Networks, Vol. 2, pp. 985-990, 2004.
  16. G. B. Huang, Q. Y. Zhu, and C. K. Siew, "Extreme learning machine: theory and applications," Neurocomputing, Vol. 70, No. 1-3, pp. 489-501, 2006. https://doi.org/10.1016/j.neucom.2005.12.126