CAREER: A new generation of scalable intelligent supervisory loop based algorithm for complex system control and optimization

职业：新一代可扩展智能监控环路算法，用于复杂系统控制和优化

• 批准号: 0748238
• 负责人: Sukumar Kamalasadan
• 金额: $ 40万
• 依托单位: University of West Florida
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-02-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0748238&HistoricalAwards=false
• 关键词: CAREER; new; generation; scalable; intelligent

(CAREER Proposal: 0748238, PI: Sukumar Kamalasadan)AbstractThe objective of this research is to develop a new class of intelligent adaptive control architecture with scalable algorithms for complex systems control and optimization. The approach is to provide a unified control framework using an introduced system supervision concept that coherently incorporates adaptive controller and intelligent learning schemes with special emphasis on control of power system dynamics. Intellectual Merit:The intellectual merit is in extensive design, development and evaluation of a next generation intelligent control paradigm. Modern power systems are becoming increasingly stressed, due to growing demand and deregulation. An important solution for the control of modern power network is to provide intelligent hybrid frameworks that are adaptable to dynamic environment (system-centric). The goal of this CAREER program is to develop such a novel architecture based on the concept of supervisory loops that monitor system dynamics. The result is a resilient control framework that can adapt seamlessly to both designed and emergent conditions.Broader Impact:The broader impact includes a potential breakthrough in emerging and largely untapped system-centric controllers for seamless integration of renewable and non-renewable energy sources; economic and viable continuous power dispatch; sustainable and transportable next generation energy systems; and security against power disruptions caused by inadvertent events or malicious intent. As these approaches are important in many other areas of scientific applications, they will therefore have global value. This research also present unique opportunities to student researchers, especially from under-represented and minority groups and foster inter- and cross- disciplinary research collaborations with academic and scientific laboratories.

（职业建议：本研究的目的是开发一种新的智能自适应控制体系结构，具有可扩展的算法，用于复杂系统的控制和优化。该方法是提供一个统一的控制框架，采用了系统监督的概念，连贯地结合自适应控制器和智能学习计划，特别强调电力系统动态控制。智力优势：智力优势在于下一代智能控制范例的广泛设计、开发和评估。现代电力系统正变得越来越紧张，由于不断增长的需求和放松管制。现代电网控制的一个重要解决方案是提供适应动态环境的智能混合框架（以系统为中心）。这个职业计划的目标是开发这样一个新的架构的基础上的概念，监控系统动态的监督回路。更广泛的影响：更广泛的影响包括：在新兴的和尚未开发的以系统为中心的控制器方面的潜在突破，用于可再生和不可再生能源的无缝集成;经济可行的连续电力调度;可持续和可运输的下一代能源系统;以及针对意外事件或恶意意图造成的电力中断的安全性。由于这些方法在许多其他科学应用领域都很重要，因此具有全球价值。这项研究也为学生研究人员提供了独特的机会，特别是来自代表性不足和少数群体的学生，并促进与学术和科学实验室的跨学科研究合作。