Robust optimal scheduling of hydropower generation systems

水力发电系统的优化调度涉及一个复杂的水资源系统网络，包括 蓄水器、传动母线及其各自的液压和传动要求。这些系统是 此外，受能源价格、能源负荷、降雨量和不可调度能源资源的不确定性的影响。该项目将重点调查制定战略，以避免解决方案的过度变化在 不确定的输入数据，以产生对不确定性更稳健的决策支持系统，从而提高效率和 最终用户接受度。 处理最优调度中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括不确定性表征，以及 两种范式的结合。与之配套的NSERC Engage项目将专注于其中的第一个，而OCE VIP 1项目将专注于针对该应用程序的稳健优化方法，其中考虑了不确定性 直接在优化算法中，最终目标是在单个框架内将这两种方法结合起来。 工业协作将有助于开发工业过程的数学描述，该描述捕捉到 关键的系统特征、限制条件和运营目标。将制定解决这一问题的战略，并 通过仿真研究评估了它们的性能。 这项工作的发现将为合作公司解决 重要的技术问题：短期调度决策中的不确定性管理。这一改进将导致 更有效地运行水热发电设施，这转化为更有效地利用水力资源， 增加风能/太阳能资源的渗透率，以及减少热力发电设施的排放。

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.