Abstract
For the optimal location of an additional surplus measurements in the
design of redundant measurements system, from data reconciliation point of
view, of thermal processes, an information entropy has been applied. The
relative entropy - Kullback-Leibler divergence, has been used. As a
criterion of the optimal location of an additional surplus measurements in
a system of measurements data, the minimum of the entropy information of
reconciled measurements data has been assumed. Hence, the objective
function in the described optimization task is maximum of the relative
entropy - Kullback-Leibler divergence concerning sets of raw and
reconciled measurements data. Simulation calculation with application of
data reconciliation algorithm and Monte Carlo method concerning the
influence of installation of the additional surplus measurements on
decrease of entropy information of measurements after data validation have
been carried out. The example calculations concerned the cross
high-pressure heat regeneration system with cascade flow of condensate
installed in 153 MW power unit equipped with cooler of steam are
presented. Calculations for all variants of configurations of an
additional surplus measurements in the analyzed thermal system have been
done. Usefulness of the proposed Kullback-Leibler divergence as a
objective function has been demonstrated.
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