Predictive cost and maintenance models for bidding and short term scheduling strategies in hydro power plants

水力发电厂投标和短期调度策略的预测成本和维护模型

• 批准号: LP0348989
• 负责人: Dr Jane Sargison
• 金额: $ 4.1万
• 依托单位: University of Tasmania
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2003
• 资助国家: 澳大利亚
• 起止时间: 2003-12-31 至 2007-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0348989
• 关键词: Predictive; cost; maintenance; models; bidding

The aim of this project is to develop knowledge based models that can be used to estimate the costs implicit in operating hydro-electric power generation systems in intermittent and off-design modes. These costs manifest in increased maintenance, loss of water supply and opportunity costs or values. A model of the Tasmanian system would be unique, and the application of knowledge based systems to cost and decision making in this situation is novel. Opportunities exist to collaborate with Norwegian researchers. The success of the project will lead to better utilization of the Tasmanian renewable energy resource.

该项目的目的是开发基于知识的模型，该模型可用于估计间歇和非设计模式下水力发电系统运行的隐含成本。这些成本表现为维修费用增加、供水损失和机会成本或价值。塔斯马尼亚系统的模型将是独一无二的，在这种情况下，将基于知识的系统应用于成本和决策是新颖的。存在与挪威研究人员合作的机会。该项目的成功将使塔斯马尼亚州的可再生能源得到更好的利用。