Título
Fuzzy intelligent system for the operation of fossil power plants
Autor
GUSTAVO ARROYO FIGUEROA
LUIS ENRIQUE SUCAR SUCCAR
ALEJANDRO VILLAVICENCIO RAMIREZ
Nivel de Acceso
Acceso Abierto
Materias
Resumen o descripción
In arti®cial intelligence applications in large-scale industry, such as fossil fuel power plants, the knowledge about the process
comes from an expert's experience, and is generally expressed in a vague and fuzzy way, using ill-de®ned linguistic terms. This
paper presents a fuzzy intelligent system to assist an operator of fossil power plants. The approach is characterized as a fuzzy
diagnostic and fuzzy control system. The fuzzy diagnostic system is based on a novel representation for dealing with uncertainty
and time, called as fuzzy temporal network (FTN). An FTN is a formal and systematic structure, used to model temporal
linguistic sentences about the occurrence of an event. The fuzzy controller was designed for the regulation of the steam
temperature of a steam generator. The fuzzy rules were obtained by observing the dynamic characteristics of the steam
temperature response. The results show that the fuzzy controller has a better performance than advanced model-based
controller, either an dynamic matrix control (DMC) or a conventional PID controller. The main bene®ts are the reduction of
the overshoot and the tighter regulation of the superheater and reheater steam temperatures. The intelligent system has shown
that fuzzy logic techniques can play an important role in power-plant operation and control tasks. The scheme not only makes
the problem formulation more ¯exible but, if applied correctly, can improve the computational e ciency. This makes it practical
for many applications in complex ®elds where the real-time tasks are important.
Fecha de publicación
abril de 1999
Tipo de publicación
Artículo
Versión de la publicación
Versión publicada
Recurso de información
Formato
application/pdf
Fuente
ISSN 0930-1984
Idioma
Inglés
Repositorio Orígen
Repositorio Institucional de Acceso Abierto de Información Científica, Tecnológica y de Innovación del INEEL
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