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The mathematic representation of the tailrace elevation as
function of the water release can be modified, for example, by
the geomorphologic impact of large floods. The level-release
polynomial from a hydroelectric plant is important information
to computational models used for optimization and simulation
of the power generation systems operation. They depend on
data quality to provide reliable results. Therefore, this paper
presents a method for adjusting of the tailrace polynomial based
on operation data recorded by the plant’s owner or company.
The proposed method uses a non-linear regression tool, such as
Trendline in Excel. A case study has been applied to the data
from a large Brazilian hydroelectric plant whose operation is
under the coordination of the Electric System
ational
Operator. The benefits of the data correction are analyzed using
a simulation model for the hydroelectric plants operation. This
simulator is used to reproduce the past operation of the plant,
first with official data and second with adjusted data. The
results show significant improvements in terms of quality of the
data, contributing to bring the real and simulated operation
closer.
