| Titre : | Neurofuzzy power system stabilizer (2008) |
| Auteurs : | Chaturvedi, D. K., Auteur ; Malik, O. P., Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | IEEE transactions on energy conversion (Vol. 23 n°3, Septembre 2008) |
| Article en page(s) : | pp. 887 - 894 |
| Note générale : | Energy conversion |
| Langues : | Anglais |
| Tags : | Control engineering computing ; fuzzy control ; inference mechanisms ; neurocontrollers ; power system stability |
| Résumé : | An adaptive fuzzy logic power system stabilizer (AFPSS) consisting of a generalized neuron (GN)-based predictor and a fuzzy logic controller (FLC) is described. The inference mechanism of the FLC is represented by a rule-base and a database. Two parameters, decided on the basis of the GN-predictor output and the current system conditions, are used to tune the AFPSS. This mechanism of tuning makes the fuzzy logic-based power system stabilizer adaptive to changes in the operating conditions. Therefore, variation in the system response, under a wide range of operating conditions, is less compared to the system response with a fixed-parameter conventional PSS. The performance of the AFPSS has been tested by simulation and experimental studies. |
| En ligne : | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4603061&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A4603059%29 |
