A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{sh-ka-br-14b,
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author = "Cong Shen and Paul Kaufmann and Martin Braun",
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title = "A New Distribution Network Reconfiguration and
Restoration Path Selection Algorithm",
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booktitle = "Power Systems Computation Conference (PSCC 2014)",
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year = "2014",
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address = "Wroclaw, Poland",
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month = "18-22 " # aug,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, Restoration
Path, Non-dominated Genetic Algorithm (NSGA-II), Fuzzy
Decision Making (FDM), Analytic Hierarchy Process
(APH), Performance Indexes",
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DOI = "doi:10.1109/PSCC.2014.7038422",
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size = "6 pages",
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abstract = "The distribution network restoration is one of the
most important parts in the total power system
restoration process. The distribution network
restoration decomposes into the identification of a
suitable network configuration, which is defined by the
status of switches between the radially arranged power
lines and the optimization of the restoration paths,
which are schedules for toggling switches and booting
network nodes. This paper presents a two-stage approach
for the restoration process of radial high voltage
distribution network (e.g. HOkV). A Pareto-based
multi-objective genetic algorithm (NSGA-II) is used to
optimize the network configuration regarding the load
that can be picked up, load priorities, and switching
activity. Then, a multi-objective fuzzy decision method
(FDM) selects the restoration paths. FDMs choices rely
on performance indexes defined by human experts and
harmonized as well as linearised by the analytic
hierarchy process (AHP). In this work, the node
importance degree, the load priority, the influence on
already restored network, and the length of
distribution lines are considered by FDM. The
feasibility and efficiency of the proposed method are
validated on the IEEE 30 network.",
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notes = "also known as \cite{7038422}",
- }
Genetic Programming entries for
Cong Shen
Paul Kaufmann
Martin Braun
Citations