基于IDDA的SF6HVCB运行状态评估方法
Tong Bai1, Chenhao Sun1, Wenqing Feng2
1School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410004, China.
Sensors (Basel, Switzerland)
|April 27, 2024
概括
本研究提出了一种综合数据驱动分析 (IDDA) 模型,用于评估SF6高压断路器 (HVCB) 的运行状态. 该模型通过准确评估HVCB状态和优先考虑组件维修来改进维护策略.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 资产管理资产管理.
背景情况:
- 精确评估SF6高压断路器 (HVCB) 运行状态对于可靠的电网运行至关重要.
- 现有的HVCB评估方法可能缺乏精度,影响维护战略的有效性.
- 开发先进的分析模型是必要的,以优化HVCB的性能和寿命.
研究的目的:
- 引入一个综合数据驱动分析 (IDDA) 模型,用于精确评估SF6HVCBs的运行状态.
- 建立一个强大的框架,为SF6HVCBs制定明智的维护策略.
- 量化各种HVCBs运行指标的意义.
主要方法:
- 开发用于SF6HVCB运行状态评估的综合数据驱动分析 (IDDA) 模型.
- 引入相对降解重量 (RDW) 度量来量化指标的意义.
- 制定一个关键因素稳定性 (CFS) 模型用于定量环境指标分析.
- 设计一个优化的模糊推理 (OFI) 系统,以增强连续指标的处理.
主要成果:
- 与现有方法相比,拟议的IDDA模型在评估SF6HVCB运行状态时表现出更高的准确性.
- RDW指标有效量化了不同运营指标的相对重要性.
- CFS模型提供了对影响HVCB性能的环境因素的定量见解.
- 该OFI系统提高了处理连续运营数据的效率.
结论:
- 开发的IDDA模型提供了一个非常准确的方法来评估SF6HVCB的运行条件.
- 该模型为各种HVCB组件的维护序列的优先级提供了可靠的基础.
- 这种方法支持优化资产管理,提高高压电力基础设施的可靠性.
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