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AIR Option 2: Research Alliance Situational Intelligence for Smart Grid Optimization and Intelligent Control

AIR Option 2: Research Alliance Situational Intelligence for Smart Grid Optimization and Intelligent Control
AIR选项2:智能电网优化和智能控制研究联盟态势智能
批准号:
1312260
负责人:
Ganesh Venayagamoorthy
金额:
$69.07万
依托单位:
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
项目状态:
已结题
起止时间:
2013-05-01 至 2020-12-31

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中文摘要
翻译
该PFI: AIR研究联盟项目侧重于态势情报和智能控制技术的转化和转移,以填补现代电力系统实时运行技术空白。克莱姆森大学将开发一个类似公用事业的控制中心来演示这些技术,并为智能电网控制中心的实时技术进行快速原型设计。这些技术具有以下市场价值特征:可扩展性、系统思维方法和电网智能将提高对可变和不确定发电的实时响应能力、改变电力负荷和组件故障、改善电网的动态和暂态行为、提高电网可靠性、确保局部和广域稳定性、减少温室气体排放。与该市场领域的态势感知和控制中心能源管理系统(ems)的领先竞争技术相比,协助控制中心的人类专家以可靠和安全的方式快速响应。该项目通过为电力控制中心开发态势智能系统和智能动态随机最优潮流控制来实现这种向市场的转移,从而在智能电网分析和现代电力系统运营方面创造新的就业机会,为控制中心提供包括智能EMSs在内的商业产品,以及具有许可、产生特许权使用费潜力的智能决策和控制工具。并维持创新生态系统,以开发先进的现代电力系统控制中心应用,从而产生衍生产品。将技术转移到市场领域的合作伙伴包括独立的研究实验室和小型企业,他们将为技术的发展做出贡献,控制中心平台供应商将集成技术,公用事业将测试技术。预计在未来5年内,潜在的经济影响将达到数百万美元,这将有助于提高美国在可变和不确定发电的最大渗透方面的竞争力,并提高控制中心的运营能力。其短期和长期的社会影响满足了国家需求,特别是高度互联的电力系统在可持续性、安全性和可靠性方面的需求。我们国家的关键基础设施依赖于电力基础设施的可靠、安全和高效。电网的情景情报和智能控制允许:减轻甚至防止停电-节省数十亿美元的损失;可再生能源普及率高;减缓气候变化对经济的负面影响;将地震、飓风和恶意攻击等自然灾害的影响最小化并快速恢复。
英文摘要
This PFI: AIR Research Alliance project focuses on the translation and transfer of situational intelligence and intelligent control technologies to fill real-time modern power system operation technology gaps. A utility-like control center will be developed at Clemson University to demonstrate these technologies and for rapid prototyping of real-time technologies for smart grid control centers. The technologies have the following market-valued features: scalability, systems-thinking approach, and grid intelligence that will increase real-time responsiveness to variable and uncertain generation, changing power loads and component failures, improve the dynamic and transient behavior of the power network, improve grid reliability, ensure local and wide area stability, reduce greenhouse gas emissions, and assist human experts in control centers to respond quickly in a reliable and secure manner compared to the leading competing technologies in situational awareness and control center energy management systems (EMSs) in this market domain. The project accomplishes this transfer to the market by developing situational intelligence systems and intelligent dynamic stochastic optimal power flow control for electric power control centers resulting in creation of new jobs in smart-grid analytics and modern power system operations, commercial products including intelligent EMSs for control centers, and intelligent decision-making and control tools with the potential to license, generate royalties, and sustain an innovation eco-system for developing leading-edge modern power system control center applications that will result in spinoffs. The partnership engaged to transfer the technologies to the market domain include independent research laboratories and small businesses who will contribute to the development of the technology, control center platform vendors who will integrate the technology, and utilities that will test out the technology. The potential economic impact is expected to be in several millions of dollars in the next five years, which will contribute to the U.S. competitiveness in the maximum penetration of variable and uncertain generation with enhanced control center operations capability. The societal impact, both short and long term, addresses national needs, especially for highly interconnected power system, in terms of sustainability, security, and reliability. Our nation's critical infrastructures depend on the electricity infrastructure to be reliable, secure and efficient. Situational intelligence and intelligent control for the electric power grid allows for: mitigation or even prevention of blackouts - billions of dollars saving in losses; high levels of renewable energy penetration; softening of negative effects of the climate change on the economy; minimization of impacts and rapid recovery from natural disasters such as earthquakes, hurricanes and malicious attacks.
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