Decision making under coupled multi-timescale uncertainty: Advanced electric power systems planning

耦合多时间尺度不确定性下的决策：先进电力系统规划

• 批准号: 1128147
• 负责人: Mort Webster
• 金额: $ 33万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-15 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1128147&HistoricalAwards=false
• 关键词: Decision; making; under; coupled; multi

The objective of this research is to develop improved tools for planning for electric power systems. The approach of this research is to combine analysis at hourly and annual timescales so that constraints on how electricity generators operate are accounted for in long-term investment planning for generation technologies. Such constraints are particularly important with increasing use of renewables, storage, and responsive demand. The project will apply approximate dynamic programming and traditional integer optimization techniques to explore decisions under uncertainty in both time scales. The structure of the operations and investment sub-problems will be exploited to develop efficient methods for optimizing the full system, accounting for uncertainty in demand, renewable generation, fuel prices, and possible environmental regulations.Intellectual MeritThis project will develop new methods for optimizing large engineering systems under uncertainty by developing new algorithms and data structure designs. It will also advance the state-of-the art for multi-timescale decision models where the smaller timescale is computationally expensive. Broader ImpactsThis work will significantly improve planning for advanced electric power systems that combine renewables and other advanced technologies to meet environmental and energy requirements, and will identify system designs with lower costs and greater resiliency. The methods developed will be usable by power companies, independent system operators, and variety of governmental and non-governmental agencies that are in the process of designing the next-generation power system. This project will also provide education and training to undergraduate and graduate students, including women and underrepresented minorities, in operations research and power systems modeling.

这项研究的目的是开发改进的电力系统规划工具。 这项研究的方法是将每小时和每年时间尺度的分析结合起来，以便在发电技术的长期投资规划中考虑到发电机运行方式的限制。 随着可再生能源、存储和响应需求的使用不断增加，此类限制尤为重要。该项目将应用近似动态规划和传统整数优化技术来探索两个时间尺度的不确定性下的决策。 将利用运营和投资子问题的结构来开发优化整个系统的有效方法，考虑到需求、可再生能源发电、燃料价格和可能的环境法规的不确定性。智力价值该项目将通过开发新的算法和数据结构设计，开发在不确定性下优化大型工程系统的新方法。 它还将推进多时间尺度决策模型的最新技术，其中较小的时间尺度在计算上是昂贵的。 更广泛的影响这项工作将显着改善先进电力系统的规划，将可再生能源和其他先进技术结合起来，以满足环境和能源要求，并将确定成本更低、弹性更大的系统设计。 所开发的方法可供电力公司、独立系统运营商以及正在设计下一代电力系统的各种政府和非政府机构使用。 该项目还将为本科生和研究生（包括女性和代表性不足的少数族裔）提供运筹学和电力系统建模方面的教育和培训。