Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2005.10a
- /
- Pages.155-157
- /
- 2005
MPPT Control of Photovoltaic System using Neural Network PI Self Tuning
신경회로망 PI자기동조를 이용한 PV발전시스템의 MPPT제어
- Lee, J.H. (Myongji Univ.) ;
- Kim, E.G. (Myongji Univ.) ;
- Kim, D.G. (Myongji Univ.) ;
- Lee, S.C. (Young Hwa. E) ;
-
Oh, B.H.
(Myongji Col.)
;
-
Lee, H.G.
(Yong-In Songdam Col.)
;
- Kim, Y.J. (Dongyang Tech Col.) ;
-
Han, K.H.
(Myongji Univ.)
- 이재훈 (명지대학교) ;
- 김은기 (명지대학교) ;
- 김대균 (명지대학교) ;
- 이상집 (영화전기) ;
-
오봉환
(명지전문대학)
;
-
이훈구
(용인송담대학)
;
- 김용주 (동양공업전문대학) ;
-
한경희
(명지대학교)
- Published : 2005.10.14
Abstract
This paper shows how to design a MPPT control of PV system using neural network PI self tuning. The conventional self-tuning methods have the voltage control problem of nonlinear PV system which can't adapt against any kinds of noise or operation circumstances. In this paper, supposed to solve these problem to PI parameters controller algorithm using ANN. In the proposed algorithm, the parameters of the controller were adjusted to reduce by on-line system the error of the output voltage of DC-DC chopper. In this process, EBPA NN was constituted to an output error value of a DC-DC chopper and conspired an input and output. The performance of the self-tuning controller is compared with that of the PI controller tuned by conventional method. The effectiveness of the proposed control method is verified thought the Matlab Simulink.
Keywords