Collaborative Research: An Intelligent Restoration System for a Self-healing Smart Grid

该项目的总体目标是通过创建智能电力恢复系统，实现自愈智能电网。因此，在不断发展的智能电网中，电力系统的恢复一直是一个值得关注的问题。由于风能和太阳能等可再生能源的随机性和不确定性，缺乏在线自适应恢复工具导致系统在大停电后需要很长时间才能恢复。提出的智能电力恢复系统是通过克服阻碍电网系统恢复的挑战，创造一个自愈的电网。目前的进展是智能电力恢复系统的开发，该系统将通过在恢复过程中使用可再生能源，并协助系统规划者对包括可再生资源在内的黑启动资源做出长期投资决策，为系统运营商提供实时自适应恢复行动。该项目将对国家电网、可持续能源和能源安全产生重大影响。预计潜在的经济影响将节省因停电造成的数百万美元的损失。短期和长期的社会影响解决了国家需求，特别是对于高度互联的电力系统，在可持续性、安全性和可靠性方面。电力系统恢复中的情景情报可以最大限度地减少停电的影响，并从地震、飓风和恶意攻击等自然灾害中快速恢复。拟议的研究将促进对研究生和本科生的智能电网教学、培训和学习；为电力工程师提供自动化电力系统恢复的实践经验；为K-12学生提供学习平台，培养他们对电力和能源系统的兴趣，并以招募代表性不足的少数民族、女性和印第安人学生为总体目标。本合作项目拟应用新兴的计算智能技术，包括基于细胞计算网络的可扩展自适应动态规划来设计电力恢复系统。目标是；(1)利用先进的可扩展计算智能技术开发在线自适应恢复工具；(2)研究利用可再生资源进行系统修复的新方案；(3)探索黑启动机组投资策略，提高自愈能力；(4)在实时电力系统上实现并论证了新系统的可行性。

The overall goal of this project is to achieve a self-healing smart grid by creating an intelligent power restoration system. As such, the power system restoration remains a great concern in the evolving smart grid. The lack of online adaptive restoration tools leads to an incredibly long time for system recovery after a major blackout, due to the stochastic nature and uncertainties associated renewables such as wind and solar power resources. The proposed intelligent power restoration system is to create a self-healing power grid by overcoming the challenges that prevent electric power grid from system recovery. The advances are in the development of an intelligent power restoration system that will provide system operators with real-time adaptive restoration actions by including the use of renewable energy in the restoration process and assisting system planners to make long-term investment decisions on blackstart resources including renewable resources. This project will have a significant impact on national grid, sustainable energy and energy security. The potential economic impact is expected to save the loss of several millions of dollars that result from blackouts. The short and long term societal impact addresses national needs, especially for highly interconnected power system, in terms of sustainability, security, and reliability. Situational intelligence in power system restoration minimizes impacts of blackouts and leads to rapid recovery from natural disasters such as earthquakes, hurricanes and malicious attacks. The proposed research will promote teaching, training and learning about smart grid to graduate and undergraduate students; provide hands-on experiences to power engineers in automated power system restoration; and offer learning platform to K-12 students to cultivate the interest in power and energy systems with overarching goal of recruiting underrepresented minority, women and Native Americans students.This collaborative project proposes to apply emerging computational intelligence techniques including scalable adaptive dynamic programming based on cellular computational networks to design the power restoration system. The goals are; (1) to develop an online adaptive restoration tool using advanced scalable computational intelligence techniques; (2) investigate a novel scheme to use renewable resources in system restoration; (3) explore a blackstart unit investment strategy to improve the self-healing capability; and (4) implement and demonstrate the feasibility of new system on real-time utility power systems.