Decomposition methods for maintenance planning of hydro-turbines

水轮机检修计划分解方法

• 批准号: 490659-2015
• 负责人: Anjos, Miguel
• 金额: $ 1.81万
• 依托单位: École Polytechnique de Montréal
• 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
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=586565
• 关键词: Decomposition; methods; maintenance; planning; hydro

Preventive maintenance is essential for the reliable operation of hydroelectric systems. However, maintenance planning is a complex activity since outages of hydro-turbines for maintenance can impact hydropower operation costs. In addition, operation costs are also determined by physical laws governing water and electricity, uncertain water precipitations and interdependencies between short-term decisions and long-term operations. In this project, we propose to develop and implement mathematical optimization techniques for solving the maintenance-scheduling problem of the hydroelectric generators in Rio Tinto, a large aluminium producer in Québec. The solution of this problem could yield significant savings for the company as well as more efficient usage of hydroelectricity in Quebec.

预防性维护对于水电系统的可靠运行至关重要。然而，维护 规划是一项复杂的活动，因为水轮机停机维护可能会影响水电 运营成本。此外，运行成本还取决于水的物理规律， 电力、不确定的降水量以及短期决策和长期决策之间的相互依赖性 运营 在这个项目中，我们建议开发和实施数学优化技术来解决 的大型铝生产商力拓水力发电机的维护调度问题， 魁北克这个问题的解决方案可以为公司节省大量资金，并提高效率 在魁北克使用水力发电。