Distributed Predictive and Real-Time Energy Management in Future Electric Power Systems

未来电力系统中的分布式预测和实时能源管理

• 批准号: 1408222
• 负责人: Soummya Kar
• 金额: $ 38.99万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-15 至 2018-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1408222&HistoricalAwards=false
• 关键词: Distributed; Predictive; Real; Time; Energy

Control of large power grids today is largely performed by centralized computer programs run at centers like the Independent System Operators (ISO). In order to cope with the growing stress and difficulty of these computations, as more renewable energy and more complicated users of power come on line, this team plans to develop new systems for distributed computation, both for scheduling of power supply and demand, and for balancing decisions which maintain stability of the grid in real time. The research feeds into an active power education effort, including special efforts by the PI in Women in Engineering and in summer engineering programs for girls.This work fits within the growing new effort to take advantage of distributed or parallel computing, after the speed of classical sequential computers has hardly improved at all for many years. The distributed scheduling here will be based on multi-stage DC optimal power flow, though the team plans to move ahead to the nonlinear case of realistic AC flows as soon as they are able. The real-time balancing will try to balance dispatchable and nondispatchable generation and loads based on a consensus-plus-innovation approach

如今，大型电网的控制很大程度上是由独立系统运营商(ISO)等中心运行的中央计算机程序执行的。随着更多的可再生能源和更复杂的电力用户上线，为了应对这些计算日益增长的压力和困难，该团队计划开发用于分布式计算的新系统，既用于电力供应和需求的调度，也用于平衡决策，以保持电网的实时稳定。这项研究促进了一项积极的力量教育努力，包括女性工程学专业人员的特别努力，以及针对女孩的暑期工程计划。这项工作符合利用分布式或并行计算的日益增长的新努力，因为多年来经典顺序计算机的速度几乎没有提高。这里的分布式调度将基于多阶段直流最优潮流，尽管团队计划在可能的情况下尽快进入现实交流潮流的非线性情况。实时平衡将尝试基于共识加创新的方法来平衡可调度和不可调度的发电和负荷