rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Genetic algorithm based damage control for shipboard power systems
  name:
    name part: Amba, Tushar.
    role:
      role term: creator
  name:
    name part: Butler-Purry, Karen L.
    role:
      role term: thesis advisor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: The work presented in this thesis was concerned with the implementation of a damage control method for U.S. Navy shipboard power systems (SPS). In recent years, the Navy has been seeking an automated damage control and power system management approach for future reconfigurable shipboard power systems. The methodology should be capable of representing the dynamic performance (differential algebraic description), the steady state performance (algebraic description), and the system reconfiguration routines (discrete events) in one comprehensive tool. The damage control approach should also be able to improve survivability, reliability, and security, as well as reduce manning through the automation of the reconfiguration of the SPS network. To this end, this work implemented a damage control method for a notional Next Generation Integrated Power System. This thesis presents a static implementation of a dynamic formulation of a new damage control method at the DC zonal Integrated Flight Through Power system level. The proposed method used a constrained binary genetic algorithm to find an optimal network configuration. An optimal network configuration is a configuration which restores all of the de-energized loads that are possible to be restored based on the priority of the load without violating the system operating constraints. System operating limits act as constraints in the static damage control implementation. Off-line studies were conducted using an example power system modeled in PSCAD, an electromagnetic time domain transient simulation environment and study tool, to evaluate the effectiveness of the damage control method in restoring the power system. The simulation results for case studies showed that, in approximately 93% of the cases, the proposed damage algorithm was able to find the optimal network configuration that restores the power system network without violating the power system operating constraints.
  note: by Tushar Amba.
  note: "Major Subject: Electrical Engineering"
  note: Title from author supplied metadata (automated record created 2010-08-20 08:31:34).
  note: Electronic resource.
  note: Master of Science Texas A&M University 2009 http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-282
  note: Includes bibliographical references.
  note: Text (Thesis)
  subject:
    topic: Major electrical engineering
  subject:
    topic: power system restoration
  subject:
    topic: optimization
  subject:
    topic: genetic algorithm
  subject:
    topic: integrated fight through power
  subject:
    topic: Damage control
  subject:
    topic: shipboard power system
  subject:
    topic: integrated power system
  subject:
    topic: power system dynamics
  identifier: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-282
  record info:
    record content source: TXA
    record creation date: 100907
    record change date: 20151201155028.0
    record identifier: in00002601666