The MPPT of Photovoltaic Solar System by Controlled Boost Converter with Neural Network

  • 차인수 (동신대학교 전기전자공학과) ;
  • 임중열 (동신대학교 전기전자공학과) ;
  • 유관종 (한국에너지기술연구소)
  • 발행 : 1998.12.01

초록

The neural network can roughly be classified as the specialized control, indirect control and general schemes. Neural network is adopted for MPPT of solar array. And back propagation algorithm also is used to train neural network controller. We investigate the possibilities of $P_{max}$ control using the neural networks, and then we also examine about operating the solar cell at an optimal voltage comprise of temperature compensated voltage with boost converter. Proposed boost converter of MPPT system is studied by simulation and is implemented by using a microprocessor(80c196kc) which controls duty ratio of the boost converter.

키워드

참고문헌

  1. Japan Society for Power electronics no.44 Maximum Power Control of the Solar Cell by Chopper Control Ohnishi, T.;Okitsu, H.
  2. Proc.of IPEC Tokyo Optimization of Photovoltaic Solar System by Controlled DC-DC Converter Heuman, K.;Wienhofer, W.
  3. Solar Energy v.44 no.1 Step-up Maximum Power Point Tracker for Photovoltaic Arrays Solar Energy Salameh, Z.;Tayor, D.
  4. EPE'89 High Efficiency Solar Panel/Wind Turbine Converter with Maximum Power Control Van den Heever, P.D.;Oberholzer, S.
  5. IEEE PESC '93 A Neural Network Controller for Switching Power Converter Chan, Hau-Chue;Chau, K.T.;Chan, C.C.
  6. IEEE PESC'93 Record Neural Network Control of a Chopper-Fed DC Motor Bates, John;Elbuluk, Malik E.;Zinger, Donald S.
  7. IEEE PVSC'97 MPPT for Temperature Compensation Photovoltaic System with Neural Networks Cha, In-Su;Baek, Hyng-Lae;Yu, Gwon-Jong