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

Estimation Method of Variable Composition Rate and Error Compensation Method of Aggregative Model for Reactive Power by Variable Composition Rate

가변구성비 추정기법과 이를 이용한 무효전력 축약모델의 오차보정기법 개발

  • Received : 2011.08.10
  • Accepted : 2011.09.27
  • Published : 2011.12.01
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, due to the expansion of electric power demands, nonlinear load such as converters and inverters connected to the electric power distribution system, and extensive application of harmonic generation sources with power electric devices, disturbance of the electric power system and its influences on industries have been continuously increasing. In this research, we develop a novel aggregation algorithm by considering the harmonics characteristics for residential loads. Using data sets acquired from various experiments, we analyzed load characteristics according to harmonics and presented the results obtained the proposed method.

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. 한국전력공사 기술연구원, "전력계통 안정도 해석을 위한 적정부하 모델에 관한 연구" KRC-88S-J02, 1989.
  3. 지평식, "신경회로망에 의한 부하모델링과 계통해석에 관한 연구", 충북대학교 대학원 박사학위 논문, 1998.
  4. 이병하, 김정훈, "전력산업구조개편하에서 전력계통 운용과 계획을 위한 부하역률모델 개발에 관한 연구", 기초전력연구원 연구보고서, 2004.
  5. 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.
  6. 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
  7. 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.
  8. 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.
  9. 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
  10. 지평식, 이종필, 이대종, 임재윤, "뉴로-퍼지 추론 시스템 기반 주거용 부하의 부하의 모델링 기법", 대한전기학회 논문집, 제60권, 제 1호, pp. 6-12, 2011.
  11. J. S. R. Jang, C. T. Sun, and E. Mizutani, Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Prentice-Hall, 1997.
  12. 지평식, 이종필, 이대종, 임재윤, "ELM을 이용한 주거용 부하의 전류 고조파 성분 추정 기법 개발", 2011년도 대한전기학회 하계학술대회 산업전기위원회 전문 워크샵, pp. 30-33, 2011.
  13. 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.