Robust optimal scheduling of hydropower generation systems

水力发电系统鲁棒优化调度

• 批准号: 491131-2015
• 负责人: Swartz, Christopher
• 金额: $ 1.82万
• 依托单位: McMaster University
• 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=586776
• 关键词: Robust; optimal; scheduling; hydropower; generation

Optimal scheduling of hydropower generation systems involves a complex network of water resource systems, including reservoirs, transmission busses, and their respective hydraulic and transmission requirements. These systems are moreover subject to uncertainty in energy prices, energy loads, rainfall amounts and non-dispatchable energy resources. This project will focus on the investigation of formulation strategies to that avoid excessive variation of the solution under uncertain input data to yield a decision support system that is more robust to uncertainty, leading to greater efficiencies and end-user acceptance. Key approaches for dealing with uncertainty in optimal scheduling are updating of the schedule as information becomes available, inclusion of an uncertainty characterization within the optimization problem formulation and solution, and a combination of the two paradigms. The companion NSERC Engage project will focus on the first of these, whereas the OCE VIP 1 project will focus on robust optimization approaches for this application in which uncertainty is taken into account directly within the optimization algorithm, with the ultimate goal of combining the two approaches within a single framework. Industrial collaboration will aid in the development of a mathematical description of the industrial process that captures the key system characteristics, constraints and operational objectives. Strategies to address the problem will be developed, and their performance evaluated via simulation studies. The findings of this work will contribute key technical information towards the partner companys efforts to solve an important technical problem: management of uncertainty in short-term scheduling decisions. This improvement will result in more efficient operation of hydrothermal generating facilities, which translates to more efficient usage of hydro resources, increased wind/solar resource penetration, as well as reduced emissions from thermal generation facilities.

水力发电系统的优化调度涉及复杂的水资源系统网络，包括 水库，传输总线，以及它们各自的液压和传输要求。这些系统 此外，还受到能源价格、能源负荷、降雨量和不可调度能源的不确定性的影响。本项目将集中于研究配方策略，以避免在以下条件下溶液的过度变化 不确定的输入数据，以产生对不确定性更鲁棒的决策支持系统，从而提高效率， 最终用户接受度。 在优化调度中处理不确定性的关键方法是随着信息的变化而更新调度。 可用，在优化问题公式和解决方案中包含不确定性特征，以及 两种范式的结合。NSERC Engage项目将重点关注其中的第一个，而OCE VIP 1项目将重点关注考虑不确定性的应用程序的鲁棒优化方法 直接在优化算法中，最终目标是将两种方法结合在一个框架中。 工业合作将有助于开发一种工业过程的数学描述， 关键系统特性、限制和业务目标。将制定解决问题的战略， 通过模拟研究评估其性能。 这项工作的结果将有助于合作伙伴公司努力解决一个关键的技术信息， 重要的技术问题：管理短期调度决策中的不确定性。这一改进将导致 更有效地运行热液发电设施，从而更有效地利用水力资源， 增加风能/太阳能资源的渗透率，以及减少热能发电设施的排放。