Scalable Intelligent Power Monitoring and Optimal Control of Distributed Energy Systems Using Adaptive Critics

使用自适应批评的分布式能源系统的可扩展智能电力监控和优化控制

• 批准号: 1308192
• 负责人: Ganesh Venayagamoorthy
• 金额: $ 36万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1308192&HistoricalAwards=false
• 关键词: Scalable; Intelligent; Power; Monitoring; Optimal

Research Objectives and ApproachesThe objective of this proposal is to achieve dynamic optimization of micro grid components, especially power converters, which provide important new opportunities for high bandwidth intelligent control. With this innovation, cost and reliability can be optimized with minimal use of fossil fuels. The approach for this research project relies on adding global positioning type capability to the control of renewable energy sources which will transform the way in which they operate and make them amiable to dynamic optimization.Intellectual MeritThe future electric power grid will contain a greater degree of renewable and alternative energy components (solar panels, wind generators, fuel cells, hybrid vehicles, etc.). All of these components contain controllers which are highly capable controllers but, ironically, are uncoordinated and merely performing necessary control functions. This project aims at fully utilizing the control capability as well as adding global positioning circuitry for time-stamping and coordinating power flow. In this way, the overall power system becomes more intelligent and optimally controlled.Broader ImpactsThe broader impact of this project is the more-ready incorporation and control of renewable energy sources and energy storage into the power grid. Furthermore, dynamic optimization ensures that these energy sources are utilized to their fullest capacity. This will lead to a significant reduction in the use of fossil based fuels. The social impact of reducing fossil fuel use tends to attract women and minorities and this factor will be exploited to increase participation from these groups. The dissemination of the results will be such as to educate future engineers and allow adoption of the methods by other researchers.

研究目标和方法本提案的目标是实现微电网组件，特别是功率转换器的动态优化，为高带宽智能控制提供重要的新机遇。 通过这项创新，可以在最少使用化石燃料的情况下优化成本和可靠性。 该研究项目的方法依赖于在可再生能源的控制中添加全球定位型能力，这将改变它们的运行方式并使其易于动态优化。智力优点未来的电网将包含更大程度的可再生能源以及替代能源组件（太阳能电池板、风力发电机、燃料电池、混合动力汽车等）。 所有这些组件都包含控制器，这些控制器是高性能控制器，但具有讽刺意味的是，它们是不协调的并且仅执行必要的控制功能。 该项目旨在充分利用控制能力，并添加用于时间戳和协调功率流的全球定位电路。 通过这种方式，整个电力系统变得更加智能和优化控制。 更广泛的影响 该项目更广泛的影响是可再生能源和储能更容易并入电网并进行控制。 此外，动态优化可确保这些能源得到充分利用。 这将导致化石燃料的使用大幅减少。 减少化石燃料使用的社会影响往往会吸引妇女和少数民族，这一因素将被用来增加这些群体的参与。 研究结果的传播将有助于教育未来的工程师并允许其他研究人员采用这些方法。