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

在过去十年中，专注于可持续，强大和可靠的电力系统的变革性研究活动已经提出了几种范式，如智能电网，自愈电网和分布式发电。本次研讨会旨在解决未来电力系统中的控制，计算和信号处理的挑战，在开发工具的背景下，这些新兴范式的影响系统级的理解。 它将促进思想的交流，旨在发展基础科学，以实现下一代发电，输电和配电系统。知识优势：研讨会将汇集相关学科的杰出研究人员，以解决与未来电力系统相关的关键问题，包括：1）哪些新兴的控制模式将改善可再生能源的管理和电动汽车的充电，具有针对关键基础设施的故障和恶意攻击的内置弹性？2)优化、大数据分析和电网信息学在振兴电力输送子系统和提高消费者满意度方面的作用是什么？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中的系统级挑战？更广泛的影响：本次研讨会将涉及多个工程学科，以制定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NSF支持的可持续电力大学联盟建立的电力和能源系统教育的悠久传统。

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.