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: Simulation and optimization of wind farm operations under stochastic conditions
  name:
    name part: Byon, Eunshin.
    role:
      role term: creator
  name:
    name part: Ding, Yu
    role:
      role term: thesis advisor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: This dissertation develops a new methodology and associated solution tools to achieve optimal operations and maintenance strategies for wind turbines, helping reduce operational costs and enhance the marketability of wind generation. The integrated framework proposed includes two optimization models for enabling decision support capability, and one discrete event-based simulation model that characterizes the dynamic operations of wind power systems. The problems in the optimization models are formulated as a partially observed Markov decision process to determine an optimal action based on a wind turbine's health status and the stochastic weather conditions. The rst optimization model uses homogeneous parameters with an assumption of stationary weather characteristics over the decision horizon. We derive a set of closed-form expressions for the optimal policy and explore the policy's monotonicity. The second model allows time-varying weather conditions and other practical aspects. Consequently, the resulting strategy are season-dependent. The model is solved using a backward dynamic programming method. The bene ts of the optimal policy are highlighted via a case study that is based upon eld data from the literature and industry. We nd that the optimal policy provides options for cost-e ective actions, because it can be adapted to a variety of operating conditions. Our discrete event-based simulation model incorporates critical components, such as a wind turbine degradation model, power generation model, wind speed model, and maintenance model. We provide practical insights gained by examining di erent maintenance strategies. To the best of our knowledge, our simulation model is the rst discrete-event simulation model for wind farm operations. Last, we present the integration framework, which incorporates the optimization results in the simulation model. Preliminary results reveal that the integrated model has the potential to provide practical guidelines that can re…
  note: by Eunshin Byon.
  note: "Major Subject: Industrial Engineering"
  note: Title from author supplied metadata (automated record created 2011-08-09 15:09:44).
  note: Electronic resource.
  note: Doctor of Philosophy Texas A&M University 2010 http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7791
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Industrial Engineering
  subject:
    topic: Wind energy
  subject:
    topic: Condition based maintenance
  subject:
    topic: Reliability
  subject:
    topic: Wind turbine operations and maintenance
  subject:
    topic: Sensor
  subject:
    topic: Markov decision process
  identifier: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7791
  record info:
    record content source: TXA
    record creation date: 110822
    record change date: 20151202142333.0
    record identifier: in00002710979