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Chapter 13
Maintenance management with
application of computational
intelligence generating a
decision support system for the
load dispatch in power plants
1
2
´
Milton Fonseca Junior , Jandecy Cabral Leite , Tirso Lorenzo
2
2
Reyes Carvajal , Manoel Henrique Reis Nascimento ,
2
Jorge de Almeida Brito Junior and Carlos Alberto Oliveira Freitas 2
´
1
Mau´ a Generation Department, Generation Eletrobras Amazonas GT Manaus, Amazonas,
2
Brazil, Research Department, Institute of Technology and Education Galileo of Amazon -
ITEGAM, Manaus, AM, Brazil
13.1 Introduction
Most of the Brazilian thermoelectric parks remain completely closed for
months whenever the hydrological situation is favorable. As in recent time,
average hydroelectric generation has been 90% of its generation capacity for
the system [1], idleness has prevailed in the thermal park as the plants can only
be activated when the hydroelectric reservoirs go below 50% of their maximum
volume. The contrasting fact with respect to those of other countries is striking.
In most of the countries, combined-cycle coal or gas-fired power plants typi-
cally do not experience long-term idleness; instead, they operate at the base
level of the system, being dispatched almost continuously. On the other hand,
thermals that are used in other electrical systems for the generation of tip, with
daily activation or at least in good part of the working days, such as open or
thermal cycle gas engines with motors, in Brazil can remain idle for long,
because they are not necessary in normal or favorable hydrologic situations.
It is necessary to ensure the supply of electricity to consumers within
standards of continuity and reliability. Although the lack of investments in
the industry causes the loss of product quality, the excessive investment
makes the product very costly, which discourages its consumption [2,3].
Decision Making Applications in Modern Power Systems. DOI: https://doi.org/10.1016/B978-0-12-816445-7.00013-X
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