Collaborative Research: Effective Management of Smart Grids and Smart Meters for Creating a Sustainable Energy Future

合作研究：有效管理智能电网和智能电表，创造可持续能源未来

• 批准号: 1068075
• 负责人: Paat Rusmevichientong
• 金额: $ 14.7万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2011-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1068075&HistoricalAwards=false
• 关键词: Collaborative; Research; Effective; Management; Smart

The objective of this collaborative research project is to design an effective system for managing smart grids and smart meters for electricity production and consumption, with the eventual goal of helping creating a sustainable energy future. The scope of this research plan encompasses the robust management of smart grids, adaptive usage controls based on real-time information provided by smart meters, and the development of an effective mechanism for coordinating supply and demands. Smart grids refer to a new and intelligent network of electricity production facilities, transmission grids, equipped with automation software and control systems for delivering and monitoring electricity to meet the demands. Smart meters are a vital part of the smart grids technology. These meters are equipped with intelligent sensors that track the real-time consumption of energy, enabling users to monitor their electrical usage during peak versus off-peak hours. Algorithms and systems for making the smart grids more robust, and are able to withstand shocks within the systems will be developed. There will also be a focus on developing a policy for controlling energy consumption in real-time based on the information provided by the smart meters. If successful, the project will facilitate the realization of smart grid's potential by developing the necessary optimization methods, control policies, and data analysis techniques for the management of smart grids and smart meters. The results of the research will be included in the curriculum of the Master of Engineering Program in Energy Markets and Risk by the IEOR Department at UC Berkeley. The research will be translated into teaching modules that can be used for Master's students in this program. Establishment of close collaborative relationships with companies in the energy industry and DOE national labs are planned.

该协作研究项目的目的是设计一个有效的系统，用于管理智能电网和智能电表以进行电力生产和消费，最终是帮助创造可持续的能源未来的目标。 该研究计划的范围包括基于智能电表提供的实时信息的智能电网，自适应用法控制的强大管理，以及开发协调供应和需求的有效机制。 智能电网是指配备自动化软件和控制系统的新型电力生产设施网络，用于交付和监视电力以满足需求。 智能电表是智能电网技术的重要组成部分。 这些仪表配备了智能传感器，这些传感器可以跟踪能源的实时消耗，从而使用户能够在高峰期和非高峰时段监视其电气使用情况。将开发出使智能电网更强大的算法和系统，并能够在系统内部承受冲击。 还将重点关注根据智能电表提供的信息制定实时控制能源消耗的政策。如果成功，该项目将通过开发必要的优化方法，控制策略以及用于管理智能电网和智能电表的数据分析技术来促进智能电网潜力的实现。该研究的结果将包括在能源市场工程硕士课程的课程中，以及加州大学伯克利分校的IEOR部门的风险。 该研究将转化为可以在该计划中用于硕士学生的教学模块。 计划与能源行业和美国能源部国家实验室的公司建立密切的合作关系。