基于最低成本的代表性互联基础设施的维护优化,以改善不可用性.
Radim Briš1, Pavel Praks2, Radek Fujdiak3
1Department of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, Ostrava, Czech Republic.
Science progress
|August 7, 2025
概括
这项研究优化了智能电网的预防性维护 (PM),减少了20%的系统不可用性和8.5%的成本. 新方法提高了复杂系统的电网可靠性和运营效率.
科学领域:
- 电气工程 电气工程
- 运营研究 运营研究
- 可靠性工程可靠性工程
背景情况:
- 智能电网系统集成电网和通信网络,使它们易受组件故障的影响.
- 系统不可用性是一个由组件维护计划影响的关键指标.
- 优化预防性维护 (PM) 对于确保智能电网可靠性和成本效益至关重要.
研究的目的:
- 为相互连接的智能电网系统制定最佳的预防性维护 (PM) 政策.
- 为了最大限度地降低系统运行成本,减少时间依赖的不可用性.
- 在复杂的智能电网环境中探索解决维护优化问题的可行性.
主要方法:
- 重制不可用性量化,包括各种维护模式中的组件的随机模型.
- 开发了一个成本模型来估计不同维护配置的费用.
- 应用方法论工具来确定智能电网的最佳PM政策.
主要成果:
- 开发的PM政策减少了大约20%的电网不可用性.
- 与没有优化维护的系统相比,运营成本降低了约8.5%.
- 该研究证明了复杂系统维护所提出的方法的有效性.
结论:
- 一个最佳的PM政策可以通过减少不可用性和成本,显著提高智能电网的性能.
- 拟议的随机建模和成本分析为复杂的系统维护优化提供了强大的框架.
- 这项研究为系统运营商提供了切实可行的解决方案,以提高智能电网可靠性和经济效率.
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