A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Cong Shen and Paul Kaufmann and Martin Braun",
  title =        "A New Distribution Network Reconfiguration and
                 Restoration Path Selection Algorithm",
  booktitle =    "Power Systems Computation Conference (PSCC 2014)",
  year =         "2014",
  address =      "Wroclaw, Poland",
  month =        "18-22 " # aug,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, Restoration
                 Path, Non-dominated Genetic Algorithm (NSGA-II), Fuzzy
                 Decision Making (FDM), Analytic Hierarchy Process
                 (APH), Performance Indexes",
  DOI =          "doi:10.1109/PSCC.2014.7038422",
  size =         "6 pages",
  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.",
  notes =        "also known as \cite{7038422}",

Genetic Programming entries for Cong Shen Paul Kaufmann Martin Braun