Algorithm for automatic generation of fuzzy rules applied to power system controllers

作     者：Luciano, AM Lauria, D Napoli, E 

作者机构：Univ Naples Dept Elect I-80125 Naples Italy Univ Cassino Dept Ind I-03043 Cassino Italy 

出 版 物：《IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION》 (IEE Proc Gener Transm Distrib)

年 卷 期：1998年第145卷第2期

页      面：161-167页

核心收录：

主　　题：FACTS controller fuzzy logic controller quasi-Newton technique learning algorithm VSC controller 

摘      要：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 of 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.