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Development of Dependable Wideband Computer Models for Power System Components

Development of Dependable Wideband Computer Models for Power System Components
为电力系统组件开发可靠的宽带计算机模型
批准号:
418476-2012
负责人:
Kocar, Ilhan
金额:
$1.68万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
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英文摘要
The growing complexity of power systems makes it necessary to use accurate, highly portable and generalized component models in simulators to assess system response under normal and abnormal operating conditions. The full frequency dependent models are needed for higher accuracy in the assessment of switching and lightning induced overvoltages, short-circuit currents, harmonics and resonance conditions. The principal short-term objective of this research proposal is the development of dependable wideband models for transmission lines, cables and network equivalents. It is targeted to introduce more comprehensive, numerically stable, accurate and computationally efficient models than the presently available models in the academic literature and/or professional grade software. This proposal will provide a step forward in advanced and precise simulation of power systems. Transmission lines and cables are key components in power systems and have significant impact on computing time and precision of power system simulators. The wideband modeling of these components is more important than in the past with increased penetration of power electronics based components in power systems, HVDC connections, long high voltage AC cable installations and wind park grids connected through cables. Improved performance and precision of line and cable models will help improve efficiency of the system and reduce design costs.
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Grid Transition: New Generation Methodologies and Tools for Reliable Protection
  • 批准号:
    RGPIN-2022-03504
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
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  • 依托单位:
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    RGPIN-2017-05786
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
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  • 批准号:
    RGPIN-2017-05786
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2020
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  • 依托单位:
Development of accurate identification techniques, smart models and methods for future power systems
  • 批准号:
    RGPIN-2017-05786
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2019
  • 负责人:
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  • 依托单位:
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