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Fault Diagnosis of Power Transformers for Hydropower Generation

Fault Diagnosis of Power Transformers for Hydropower Generation
水力发电电力变压器故障诊断
批准号:
485382-2015
负责人:
Tian, Zhigang
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
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
翻译
Veresen Inc.是一家位于阿尔伯塔卡尔加里的大型能源基础设施公司。它的主要业务是管道,天然气和发电,在不列颠哥伦比亚省有三个水电项目。水电是可再生能源的重要来源,在加拿大所有省份都发挥着重要作用,特别是在不列颠哥伦比亚省、马尼托巴和魁北克。电力变压器是发电和输电系统中的关键部件。确保变压器的可靠运行非常重要,它们的故障将导致非常昂贵的停机时间。提高Transformer可靠性的一个重要途径是通过定期检查对变压器进行健康状态监测和诊断。 在本项目中,我们将充分利用Veresen的Transformer数据,如溶解气体分析(DGA)数据和油品质量数据,开发基于人工智能技术的Transformer故障诊断和预测的先进方法和工具。还将利用实地数据验证拟开发的方法和工具。该项目将有助于提高系统的可靠性和安全性,并降低Veresen在加拿大的水力发电厂的整体运营和维护成本。所产生的知识和工具可能会使水电行业以及其他工程系统受益,如电力网络,可再生能源系统和制造系统。
英文摘要
Veresen Inc. is a large energy infrastructure company based in Calgary, Alberta. It has main businesses in pipelines, natural gas and power generation, with three hydropower projects operating in British Columbia. Hydropower is an important source of renewable energy, and plays an important role in all provinces in Canada, particularly in British Columbia, Manitoba and Quebec. Power transformers are critical components in electricity generation and transmission systems. It is important to ensure the reliable operation of transformers, and their failures will lead to very expensive downtime. An important way to improve transformer reliability is performing health condition monitoring and diagnosis via periodic inspections. In this project, we will develop advanced methods and tools for transformer fault diagnosis and prediction based on artificial intelligence techniques, by fully utilizing the transformer data at Veresen, such as the dissolved gas analysis (DGA) data and oil quality data. The methods and tools to be developed will also be validated using field data. This project will help to improve the system reliability and safety, and reduce the overall operations and maintenance cost at Veresen's hydropower generation plants in Canada. The generated knowledge and tools can potentially benefit the hydropower industry, as well as other engineering systems, such as power networks, renewable energy systems and manufacturing systems.
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Advanced Prognostics and Maintenance Optimization Methodologies for System Health Management
  • 批准号:
    RGPIN-2018-05703
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.52万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
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    RGPIN-2018-05703
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
Advanced Prognostics and Maintenance Optimization Methodologies for System Health Management
  • 批准号:
    RGPIN-2018-05703
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2020
  • 负责人:
    Tian, Zhigang
  • 依托单位:
Advanced Prognostics and Maintenance Optimization Methodologies for System Health Management
  • 批准号:
    RGPIN-2018-05703
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2019
  • 负责人:
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