| Titre : | Active low-frequency ripple control for clean-energy power-conditioning mechanism (2011) |
| Auteurs : | Rong-Jong Wai, Auteur ; Chun-Yu, Lin, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | IEEE transactions on industrial electronics (Vol. 57 N° 11, Novembre 2010) |
| Article en page(s) : | pp. 3780 - 3792 |
| Note générale : | Génie électrique |
| Langues : | Anglais |
| Index. décimale : | 621.38 (Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X) |
| Tags : | Adaptive linear (ADLINE) neural network Clean energy Low-frequency ripple control Neural filter Power condition Total sliding-mode (TSMC) |
| Résumé : | This paper focuses on the design of an active low-frequency ripple control for a clean-energy power-conditioning mechanism with an aim to protect clean-energy sources (e.g., solar photovoltaics, fuel cells, etc.) from the severe damage of current-ripple propagation to expand their life span. First, a simplified circuit for representing the current-ripple phenomenon inside a general power conditioner including a dc/dc converter and a dc/ac inverter is derived, and the dynamic model of the active low-frequency ripple-control circuit is analyzed. Moreover, an adaptive linear neural network is taken as a neural filter to generate the compensation current command, and a total sliding-mode controller is designed to manipulate the ripple-control circuit for injecting a suitable compensation current into the high-voltage bus of the conditioner. In addition, the effectiveness of the proposed active low-frequency ripple-control scheme is verified by numerical simulations and experimental results. Its superiority is indicated in comparison with a conventional high-pass filter and a proportional-integral controller. |
| DEWEY : | 621.38 |
| ISSN : | 0278-0046 |
| En ligne : | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5409662 |
