Reference
J. Fu, A. Núñez, and B. De Schutter, "A short-term preventive
maintenance scheduling method for distribution networks with distributed
generators and batteries,"
IEEE Transactions on Power
Systems, vol. 36, pp. 2516-2531, May 2021.
Abstract
Preventive maintenance is applied in distribution networks to prevent failures
by performing maintenance actions on components that are at risk. Distributed
generators (DGs) and batteries can be used to support power to nearby loads
when they are isolated due to maintenance. In this paper, a novel short-term
preventive maintenance method is proposed that explicitly considers the support
potential of DGs and batteries as well as uncertainties in the power generated
by the DGs. Two major issues are addressed. To deal with the large-scale
complexity of the network, a depth-first-search clustering method is used to
divide the network into zones. Moreover, a method is proposed to capture the
influence of maintenance decisions in the model of the served load from DGs and
batteries via generation of topological constraints. Then a stochastic
scenario-based mixed-integer non-linear programming problem is formulated to
determine the short-term maintenance schedule. We show the effectiveness and
efficiency of the proposed approach via a case study based on a modified
IEEE-34 bus distribution network, where we also compare a branch-and-bound and
a particle swarm optimization solver. The results also show that the supporting
potential of DGs and batteries in preventive maintenance scheduling allows a
significant reduction of load losses.
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BibTeX
@article{FuNun:21-004,
author = {Fu, Jianfeng and N{\'{u}}{\~{n}}ez, Alfredo and De Schutter,
Bart},
title = {A Short-Term Preventive Maintenance Scheduling Method for
Distribution Networks with Distributed Generators and Batteries},
journal = {IEEE Transactions on Power Systems},
volume = {36},
pages = {2516--2531},
month = may,
year = {2021}
}