Page 376 - Decision Making Applications in Modern Power Systems

338 Decision Making Applications in Modern Power Systems

One of the most important aspects to sustain the quality and reliability of
the electric power supply is to be able to perform an optimal load dispatch
[2,4]. The great majority of the works presented in the literature develop
the load dispatch of the thermal plants, considering that all the engines of
the plant have a favorable technical state, but this is not always the case, so
in this chapter, a method is presented for the predispatch of load that takes
into account the technical state of the plant’s motors through diagnosis and
making use of fuzzy logic.
The development of a computational tool to support the decision of
cargo dispatch according to the operating conditions of the engines and gen-
erators of thermal plants is proposed, which are classified in relation to
the probabilities of failure by a fuzzy system developed in this chapter,
from indicators obtained from lubricant oil analysis, vibration analysis, and
thermography of power generation equipment. The study is based on the
principle of operation and operational conditions of the equipment to be
dispatched for the generation in a thermal plant, besides its particularities as
specific consumption and the quality of pollutants sent by each equipment.

13.2 Maintenance systems and their application in
thermoelectric plants
The ability of a generation source to meet an energy demand can be influenced
by unexpected units of power generating units. The tests were even more
advanced to repair preventive maintenance measures but were not revised in
the 1990s with maintenance and maintenance work on engines and generators.
In recent times, condition-based maintenance (CBM) has been introduced
in industrial systems to preventively maintain the right equipment at the right
time relative to its current “operating condition.” The good state of operation
of a generator can be represented mainly by conventional indicators, such as
oil temperature, harmonic data, and vibration. Monitoring the motors/genera-
tors and their diagnosis is also important so that the dispatch of cargo does
not have unexpected interruptions.
Most energy generation unit scheduling packages are considered preven-
tive maintenance schedules for units over an operational planning period of 1
or 2 years in order to defray the operating total, while meeting the require-
ments—system power and maintenance restrictions. This process consists of
verifying the generating units that must be stopped from production. The gen-
erating units should be regularly examined for safety. It is important for a fail-
ure in a power generating unit that can be used in the machines. Therefore the
fixation and the key point are used in the proposed methodology. The issue is
addressed as an optimization problem. The model is developed by determining
the objective function, which is a net power reserve of the unit [5].
They point out that CBM is a strategy that collects and evaluates information
in real time and recommends maintenance decisions based on the current condi-
tion of the system. Since the last decade research on CBM has been growing