Paper Info
Title
Pre-Dispatch of Load in Thermoelectric Power Plants Considering Maintenance Management Using Fuzzy Logic.
Abstract
This paper presents a new method for load pre-dispatch considering the technical conditions of engines in thermoelectric power plants by combining several maintenance and diagnostic techniques and using computational intelligence. A diagnosis of the technical conditions of the engines is performed using a lubricant analysis, vibration analysis, and thermography. With these data from a statistical analysis, it is possible to predict when an engine will fail and to consider this phenomenon in the load predispatch. To increase the engine reliability and power supply, a maintenance management program is developed using MANAGEMENT tools, applying only 4 total productive maintenance pillars and combining them with predictive maintenance and diagnostics, thus reducing failures in plant equipment. Some results achieved after this implementation are as follows: a reduction in the annual cost of maintenance, a reduction in the corrective maintenance, an increase in the mean time between failures, and a decrease in the mean time to repair in all areas. In addition, the pre-dispatch ensures that the demanded power is met with a high degree of reliability and quality, and at minimal cost.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2854612
IEEE ACCESS
Keywords
Field
DocType
Economic load dispatch,management maintenance program,electric generators,TPM power plants,fuzzy logic
Mean time between failures,Total productive maintenance,Computational intelligence,Computer science,Fuzzy logic,Mean time to repair,Corrective maintenance,Predictive maintenance,Reliability engineering,Electricity generation,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Milton Fonseca100.34
Ubiratan H. Bezerra201.01
Jorge De Almeida Brito300.34
Jandecy Cabral Leite401.01
Manoel Henrique Reis Nascimento500.34