Conference: 2023 NSF Algorithms for Modern Power Systems (AMPS) Workshop

该项目将于2023年秋季（10月）在乔治梅森大学举办一个名为“2023 NSF现代电力系统算法（AMPS）研讨会”的研讨会。电网基础设施的现代化仍然是美国和世界各地的一个巨大挑战。现代化将带来更可靠的电力来源和输送，这对国家安全和经济至关重要。最近由于电力供应中断而造成的破坏性社会后果进一步突出了这一目标的紧迫性。但要实现这一目标，需要科学和工程学许多分支的共同努力。特别是，由于电网分析和建模的大量数学和统计基础，数学家和统计学家可以大大有助于这一努力。创新的数学和统计方法可以应用于传统和现代电网应用。为了加速这一贡献，NSF数学科学部最近与能源部电力办公室（DOE）合作，创建了现代电力系统算法（AMPS）计划。本次会议的目标是汇集活跃的AMPS项目的数学家和统计学家以及DOE工程师和科学家，报告研究发展情况，并促进现代电网知识的创造，转让和应用。此外，本次会议将促进不同AMPS项目和能源部新兴电网项目之间的协同作用。技术讲座和海报将在本次会议上展示。主题包括电网动态的机器学习和神经网络方法，天气可再生能源的不确定性量化和降维技术，故障检测的实时方法和电网脆弱性。强烈鼓励学生和博士后研究人员参加这次研讨会。该研讨会将为这些早期职业研究人员提供通过AMPS支持的电网研究的其他方向，以及与能源部科学家和工程师联系的机会。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

The project is to hold a workshop, titled "2023 NSF Algorithms for Modern Power Systems (AMPS) Workshop," which will be held at George Mason University in Fall (October) 2023. Modernizing the power grid infrastructure continues to be a grand challenge in the United States and around the world. Modernization will lead to a more reliable source and delivery of electric power, which is vital to the national security and economy of this country. The urgency of this goal has been further accentuated by the devastating societal consequences that have recently occurred due to disruptions in the delivery of electric power. But to achieve this goal, a combined effort from many branches of science and engineering will be needed. In particular, because of the substantial mathematical and statistical basis of power grid analysis and modelling, mathematicians and statisticians can greatly contribute to this effort. Innovative mathematics and statistical approaches can be applied to traditional and modern power grid applications. To accelerate this contribution, the Division of Mathematical Sciences at NSF has recently partnered with the Office of Electricity at the Department of Energy (DOE) to create the Algorithms for Modern Power Systems (AMPS) program. The goal of this conference is to bring together mathematicians and statisticians of active AMPS projects and DOE engineers and scientists to report on research development, and to facilitate creation, transfer and application of knowledge on modern power grids. In addition, this conference will foster synergism between the different AMPS projects and DOE projects on the emerging power grid.Technical talks and posters will be presented in this conference. Topics to be presented include machine learning and neural networks approaches to power grid dynamics, uncertainty quantification and dimension reduction techniques for weather renewables, real-time approaches for fault detection, and power grid vulernability. Student and post-doctoral researchers are strongly encouraged to attend this workshop. This workshop will provide these early-career researchers exposure to other directions in power grid research supported through AMPS, and opportunities to connect with DOE scientists and engineers.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.