A new fuzzy algorithm for the identification of the input-output characteristic of a general system is applied to a power system controller. In particular, the method for the generation of fuzzy rules is applied to a fuzzy logic variable-structure FACTS controller for electrical power system stability improvement. The fuzzy algorithm allows one to obtain a simple analytical form for the input-output characteristic of the identified system. The identification is regarded as a nonlinear optimisation problem solved by means of the quasi-Newton optimisation method. The effectiveness of the proposed approach is verified through numerical simulations
Algorithm for Automatic Generation of Fuzzy Rules applied to power system controllers / Luciano, Angelo; Lauria, Davide; Napoli, Ettore. - In: IEE PROCEEDINGS. GENERATION, TRANSMISSION AND DISTRIBUTION. - ISSN 1350-2360. - STAMPA. - 145:2(1998), pp. 161-167. [10.1049/ip-gtd:19981622]
Algorithm for Automatic Generation of Fuzzy Rules applied to power system controllers
LUCIANO, ANGELO;LAURIA, DAVIDE;NAPOLI, ETTORE
1998
Abstract
A new fuzzy algorithm for the identification of the input-output characteristic of a general system is applied to a power system controller. In particular, the method for the generation of fuzzy rules is applied to a fuzzy logic variable-structure FACTS controller for electrical power system stability improvement. The fuzzy algorithm allows one to obtain a simple analytical form for the input-output characteristic of the identified system. The identification is regarded as a nonlinear optimisation problem solved by means of the quasi-Newton optimisation method. The effectiveness of the proposed approach is verified through numerical simulationsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
