Workshop on Real Time Data Analytics for Resilient Electric Grid. To Be Held in Portland, Oregon, August 4-5, 2018

大规模传感器部署的数据可用性使电网中的新型数据驱动监测和控制策略得以实现，并提供改进的决策支持，以增强弹性。本次研讨会将侧重于识别不断发展的智能电网复杂性的问题，以及在实现电网弹性的可能解决方案方面的最新进展，特别侧重于利用实时数据分析。本次研讨会将邀请来自联邦机构、公用事业、iso、供应商和NSF获奖者的数据分析、网络安全、弹性和电网运营方面的顶级专家，并高度鼓励未被充分代表的少数民族和女性参与者。虽然大多数参与者将来自电力和能源领域，但数据科学和分析领域的一些精选专家将被邀请参加研讨会。这将使参与者能够学习其他领域的最佳实践，以便在电力和能源系统中实施。利益相关者在研讨会上确定的战略将导致思想和教育内容的交流，以准备一支训练有素的劳动力来管理未来复杂的网格。利益相关者确定的研究需求将导致联邦机构更好的投资，并推动国家向弹性电网发展。该研讨会将为数据科学方法提供新的战略和想法，以实现电网的弹性。相量测量单元（pmu）提供实时态势感知和决策支持。配电自动化和智能电表实现了先进的电压无功控制、实时负载行为跟踪、停电管理和交互控制。通过数据传感器增强低压配电网络的可见性，可以帮助能源生产商和消费者更好地管理其能源组合，以实现弹性运行。此外，网络物理电网中越来越多的数字设备和传感器数据也需要数据异常和网络安全管理的解决方案。本次研讨会的重点领域之一是实时数据分析，以实现弹性电网。在智能电网中，大数据无处不在地产生和监控，但在发现关键智能电网应用的知识和新解决方案方面，大数据在很大程度上没有得到利用。强大的数据分析解决方案对于优化运行以增强智能电网的弹性至关重要。因此，本次研讨会将重点关注实时数据分析，以增强态势感知和决策支持，以增强电网的弹性。讲习班的成果将通过网络传播，以便更广泛地分发。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Availability of data from massive sensors deployment enables novel data-driven monitoring and control strategies in the power grid with improved decision support for enhancing resiliency. This workshop will focus on identifying the problem with evolving smart grid complexity and the recent advancements in possible solutions to enable resiliency of the power grid, specifically focused on utilizing real-time data analytics. This workshop will have top expert in data analytics, cyber security, resiliency and electric grid operation from federal agencies, utilities, ISOs, vendors, and NSF awardee and underrepresented minority and women participants will be highly encouraged. Although the majority of the participants will be from the power and energy area, some selected experts from data science and analytics will be invited to participate in the workshop. This will allow the participants to learn about best practices in other areas to implement in power and energy systems. Strategies identified by the stakeholders at the workshop will result in exchange of ideas and educational content, in the preparation of a highly-trained workforce to manage the complex grid of the future. Research needs identified by the stakeholders will result in better investment by federal agencies and advancing the Nation towards the resilient electric grid.The workshop will result in new strategies and ideas for data-science approaches to enable resiliency of the electric grid. Phasor measurement units (PMUs) provide real time situational awareness and decision support. Distribution automation and smart meters enables advanced volt-var control, real time load behavior tracking, outage management and transactive control. Enhanced visibility of low voltage distribution network enabled by data sensors may help energy producers and consumers to better manage their energy portfolio for resilient operation. Furthermore, an increasing number of digital devices and sensor data in this cyber-physical electric grid also need solutions for data anomalies and cyber-security management. One of the focus areas of this workshop is real time data analytics to enable resilient electric grid. Big data is generated and monitored ubiquitously in smart grids, but largely unexploited in discovering knowledge and new solutions for critical smart grid applications. Robust data analytics solutions are critical towards the optimized operation to enhance the resiliency of the smart grid. Hence this workshop will focus on real time data analytics to enhance situational awareness and decision support to enhance resiliency of the power grid. Results of the workshop will be disseminated through web for wider distribution.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.