Workshop on Control, Computing, and Signal Processing Challenges in Future Power Systems. To be Held in Arlington,VA in November, 2013

在过去的十年中，致力于可持续、稳健和可靠电力系统的变革性研究活动已经提出了几个范例，如智能电网、自愈式电网和分布式发电。本研讨会致力于在开发工具的背景下解决未来电力系统中的控制、计算和信号处理挑战，以便在系统级别上了解这些新兴范例的影响。它将促进思想的交叉交流，目的是发展基础科学，以实现下一代发电、输电和配电系统。智力价值：研讨会将聚集相关学科的知名研究人员，解决与未来电力系统相关的关键问题，包括：1)哪些新兴控制范例将改善电动汽车的可再生能源和充电管理，并具有针对关键基础设施的内置故障和恶意攻击能力？2)优化、大数据分析、3)如何利用统计信号处理和机器学习的进步来提高态势感知和系统可靠性？4)我们如何教育下一代工程师了解未来电力系统的系统级挑战？更广泛的影响：本研讨会将涉及几个工程学科，以规划未来电力系统研究的基础科学。研讨会还将强调相关的教育方面，主要是通过利用明尼苏达大学通过国家科学基金会支持的可持续电力大学联盟建立的在电力和能源系统教育方面的长期优秀传统。

Transformative research activities in the last decade focused on sustainable, robust, and reliable power systems have presented several paradigms such as smart grids, self-healing grids, and distributed generation. This workshop seeks to address the Control, Computing, and Signal Processing Challenges in Future Power Systems within the context of developing the tools for a system-level understanding of the impact of these emerging paradigms. It will promote cross fertilization of ideas with the aim of developing the underlying foundational science to realize next-generation electric generation, transmission, and distribution systems.Intellectual Merit:The workshop will bring together prominent researchers in relevant disciplines to address key questions relevant to future power systems, including: 1) What emerging control paradigms will improve management of renewables and charging of electric vehicles, with build-in resilience against failures and malicious attacks on critical infrastructure? 2) What is the role of optimization, big data analytics, and grid informatics in revitalizing power delivery subsystems and improving consumer satisfaction? 3) How can advances in statistical signal processing and machine learning be leveraged to improve situational awareness and system reliability? 4) How can we educate next-generation engineers about system-level challenges in future power systems?Broader Impacts:This workshop will engage several engineering disciplines to map out the foundational science for research in future power systems. The workshop will also emphasize the related educational aspects, primarily by leveraging the long tradition of excellence in power and energy systems education that the University of Minnesota has established through the NSF-supported Consortium of Universities for Sustainable Power.