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; 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.

该提案的研究目标和方法是实现微网格组件的动态优化，尤其是电力转换器，这为高带宽智能控制提供了重要的新机会。 通过这种创新，可以最少使用化石燃料来优化成本和可靠性。 该研究项目的方法依赖于将全球定位类型的能力添加到控制可再生能源的控制中，这将改变它们的操作方式并使它们可与可亲进行动态优化。智能优点未来的电力电网将包含更大程度的可再生能源和替代能源组件（SOLAR PANELS，WINEER PANES，WIND CONELATORS，WINE -WENCONERS，WIND CONTRATORS，WINE -WENERARS，FIEL CONTRATORS，FIEL CONELERS，FIEL ELENER，燃料，燃料，造型）。 所有这些组件都包含具有高功能控制器的控制器，但具有讽刺意味的是，不一致，仅执行必要的控制功能。 该项目旨在充分利用控制能力，并添加全球定位电路以进行时间戳记和协调功率流。 这样，总体电力系统就变得更加智能和最佳控制。Broader影响该项目的更广泛影响是可以将可再生能源和能源存储在功率网格中更加准备就绪的整合和控制。 此外，动态优化可确保将这些能源充分利用它们的最大能力。 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，并且将利用这一因素来增加这些群体的参与。 结果的传播将是教育未来的工程师并允许其他研究人员采用这些方法。