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Advisor(s)
Abstract(s)
This paper proposes a new methodology for the
evaluation of reliability in radial distribution networks through
the identification of new investments in this kind of networks, in
order to reduce the repair time and the failure rate, which leads
to a reduction of the forced outage rate and, consequently, to an
increase of reliability. The novelty of this research work consists
in proposing an ac optimization model based on mixed-integer
nonlinear programming that is developed considering the Pareto
front technique, in order to achieve a reduction of repair times and
of failure rates of the distribution network components, whileminimizing
the costs of that reduction, the power losses cost, the cost
of the optimal capacitor location and size, and the maximization
of reliability, which is in the form of minimization of nonsupplied
energy cost. In order to estimate the outage parameters, a fuzzy
set approach is used. The optimization model considers the distribution
network technical constraints. A case study using a 33-bus
distribution network is presented to illustrate the application of
the proposed methodology.
Index Terms—Capacitor location,
Description
Keywords
Capacitor location Distribution network Loss reduction Optimization Reliability assessment
Citation
Publisher
Institute of Electrical and Electronics Engineers