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

该PFI：AIR研究联盟项目专注于情景智能和智能控制技术的翻译和转移，以填补实时现代电力系统运行技术的空白。 一个类似公用事业的控制中心将在克莱姆森大学开发，以演示这些技术，并为智能电网控制中心的实时技术快速原型。这些技术具有以下具有市场价值的特点：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、不断变化的电力负载和组件故障的实时响应能力，改善电网的动态和瞬态行为，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，并协助控制中心的人类专家以可靠和安全的方式快速响应，相比之下，该市场领域的态势感知和控制中心能源管理系统（EMS）中的领先竞争技术。 该项目通过为电力控制中心开发情景智能系统和智能动态随机最优潮流控制来实现向市场的转移，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，商业产品包括控制中心的智能EMS，以及智能决策和控制工具，这些工具有可能获得许可，产生特许权使用费，并维持创新生态系统，以开发领先的现代电力系统控制中心应用程序，从而产生副产品。 参与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，他们将为技术的开发做出贡献，控制中心平台供应商将整合技术，以及将测试技术的公用事业。 潜在的经济影响预计将在未来五年内达到数百万美元，这将有助于美国在可变和不确定发电的最大渗透方面的竞争力，并增强控制中心的运营能力。 短期和长期的社会影响解决了国家的需求，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。电网的情景智能和智能控制可以实现：缓解甚至预防停电--节省数十亿美元的损失;高水平的可再生能源普及率;减轻气候变化对经济的负面影响;最大限度地减少影响并从地震、飓风和恶意攻击等自然灾害中快速恢复。

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.