Journal of the Korean Institute of Illuminating and Electrical Installation Engineers (조명전기설비학회논문지)

The Korean Institute of IIIuminating and Electrical Installation Engineers (한국조명전기설비학회)
권호 표지
DOI QR코드

DOI QR Code

Load Modeling Method Based on Radial Basis Function Networks Considering of Hormonic components

고조파를 고려한 방사기저함수 네트워크 기반의 부하모델링 기법

  • Published : 2008.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this study, we developed RBFN(Radial Basis Function Networks) based load modeling method with harmonic components. The developed method considers harmonic information as well as fundamental frequency and voltage considered as essential factors in conventional method. Thus, the reposed method makes it possible to effectively estimate load characteristics in power lines with harmonics. RBFN has some advantage such as simple structure and rapid computation ability compared with multi-layer perceptorn which is extensively applied for load modeling. To verify the effectiveness, the proposed method has been intensively tested with various dataset acquired under the different frequency and voltage and compared it with conventional methods such as polynomial method, MLPN and RBFN with no harmonic components.

본 연구에서는 고조파를 고려한 방사기저함수 네트워크 기반의 부하모델링 기법을 개발하였다. 개발된 부하모델은 입력정보로서 기본 주파수와 기본 전압 외에 고조파 성분도 고려하여 전압 및 주파수뿐만 아니라 고조파의 영향에 대해서도 효과적으로 부하를 추정할 수 있도록 구성하였다. 부하모델링을 위해 적용된 방사기저함수 네트워크는 기존에 널리 사용되는 다층 신경망에 비해 구조가 간단하고 수렴속도가 빠른 장점을 지니고 있다. 개발된 부하모델링 기법은 기존에 널리 사용되는 다항식과 다층 신경회로망 및 고조파 성분을 고려하지 않은 방사기저함수 네트워크를 이용한 부하모델 기법과 비교함으로써 제안방법의 타당성을 검증하였다.

Keywords

References

  1. IEEE Task Force on Load Representation for Dynamic Performance, "Load representation for dynamic performance analysis," IEEE Trans. on Power Systems, Vol. 8, No. 2, pp. 472-482, 1993 https://doi.org/10.1109/59.260837
  2. C. Concordia and S. Ihara, "Load Representation in Power System Stability Studies," IEEE Trans. on PAS, Vol. PAS-101 1982
  3. 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
  4. 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
  5. 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
  6. 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
  7. 한국전력공사 기술연구원, "전력계통 안정도 해석을 위한 적정부하 모델에 관한 연구" KRC-88S-J02, 1989
  8. 지평식, "신경회로망에 의한 부하모델링과 계통해석에 관한 연구", 충북대학교 대학원 박사학위 논문, 1998
  9. 김정훈 외, "전력계통 안정도 정밀해석을 위한 적정부하모델에 대한 연구" 한국전력공사 전력연구원 연구보고서, 2000
  10. 이병하, 김정훈, "전력산업구조개편하에서 전력계통 운용과 계획을 위한 부하역률모델 개발에 관한 연구", 기초전력연구원 연구보고서, 2004
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. Richard O. Duda, Peter E. Hart, David G. Stork, Pattern Classification, JOHN WILEY&SONS, Second Edition, 2002