DOI QR코드

DOI QR Code

Design of Neural Network based MPPT(Maximum Power Point Tracking) Algorithm for Efficient Energy Management in Urban Wind Turbine Generating System

도시형 풍력발전 시스템의 효율적 에너지 관리를 위한 인공신경망 기반 최대 전력점 추종 알고리즘 개발

  • 김승영 (군산대학교 전자정보공학부) ;
  • 김성호 (군산대학교 전자정보공학부)
  • Received : 2009.10.21
  • Accepted : 2009.12.05
  • Published : 2009.12.25

Abstract

Generally, wind industry has been oriented to large power systems which require large windy areas and often need to overcome environment restrictions. However, small-scale wind turbines are closer to the consumers and have a large market potential, and much more efforts are required to become economically attractive. In this paper, a prototype of a small-scale urban wind generation system for battery charging application is described and a neural network based MPPT(Maximum Power Point Tracking) algorithm which can be effectively applied to urban wind turbine system is proposed. Through Matlab based simulation studies and actual implementation of the proposed algorithm, the feasibility of the proposed scheme is verified.

일반적으로 풍력발전은 광범위한 영역에 지속적인 바람을 요구하는 대형 시스템 위주로 개발이 되어왔다. 그러나 소형 풍력발전 시스템은 사용자에게 보다 친숙하고, 대형에 비해 보다 광범위한 적용이 가능하다는 점 때문에 최근 이에 대한 관심이 증가되고 있는 실정이다. 이에 본 연구에서는 배터리 충전에 효과적으로 도입될 수 있는 도시형 풍력발전을 위한 프로토타입 시스템에 대해 기술하며, 프로토타입 시스템에 효과적으로 도입될 수 있는 인공신경망 기반의 최대 전력점 추종 알고리즘을 제안하고자 한다. 또한 Matlab기반의 다양한 시뮬레이션 및 실제 시스템 설계를 통해 제안된 기법의 유용성을 확인하고자 한다.

Keywords

References

  1. R. Hoffmann, P. Mutschler, 'The Influence of Control Strategies on the Energy Capture of Wind Turbine', 2000 IAS Conference Record, pp.886-893, 2000
  2. Anders Grauers, 'Efficency of three wind energy generator system', IEEE Trans. Energy Conversion, Vol. 11, No. 3, pp.650-657, 1996 https://doi.org/10.1109/60.537038
  3. Shibashis Bhowmik, Rene Spee, Hohan H.R. Enslin,'Performance Optimization for Doubly Fed WInd Power Generation Systems', IEEE Trans. Industry Application. Vol. 35, No. 4, pp.949-958, 1999 https://doi.org/10.1109/28.777205
  4. Bogdan S. Borowy, Ziyad M. Salameh, 'Dynamic Respose of a Stand-Alone Wind Energy Conversion System with Battery Energy Storage to a Wind Gust', IEEE Trans. Energy Conversion, Vol.12, No. 1, pp.73-78, March 1997 https://doi.org/10.1109/60.577283
  5. Eftichios Koutroulis, Kostas Kalaitzakis, 'Design of a Maximum Power Tracking System for Wind-Energy-Conversion Applications', IEEE Trans. on Industrial Electronics, Vol.53, No.2, pp.486-494, April 2006 https://doi.org/10.1109/TIE.2006.870658
  6. Ahmed G. Abo-Khalil and Dong-Choon Lee,'MPPT Control of Wind Generation Systems Based on Estimated Wind Speed Using SVR', IEEE Trans. on Industrial Electronics, Vol.55, No.3, pp.1489-1490, March 2008 https://doi.org/10.1109/TIE.2007.907672
  7. C. M. Liaw, T. H. Chen, S. J. Chiang, C. M. Lee, and C. T. Wang, 'Small battery energy storage system,' Proc. Inst. Elect. Eng., vol. 140, pt. B, no. 1, pp.7-17, 1993
  8. Z. Salameh and D. Taylor, 'Step-up maximum power point tracker for photovoltaic arrays,' Sol. Energy Proc., vol. 44, no. 1, pp. 57–-61, 1990
  9. J. H. R. Enslin and D. B. Snyman, 'Simplified feed-forward control of the maximum power point in PV installations,' in Conf. Rec. IEEE Industrial Electronics Conf., 1992, pp. 542–-547
  10. V. Arcidiacono, S. Corsi, and L. Lambri, 'Maximum power point tracker for photovoltaic power plants,' in Conf. Rec. IEEE Photovoltaic Specialists Conf., 1982, pp. 507–-512