Collaborative Research: Electronic Analog & Hybrid Computing for Power & Energy Systems

合作研究：电子模拟

• 批准号: 2305431
• 负责人: Jason Poon
• 金额: $ 26.73万
• 依托单位: California Polytechnic State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2305431&HistoricalAwards=false
• 关键词: Collaborative; Research; Electronic; Analog; &amp

This project will develop computing methods that aim to make the electric grid more reliable, efficient, and sustainable. The grid has evolved tremendously in the past decades with the rapid adoption of distributed energy resources, such as solar and wind, and electric vehicle charging. These trends have introduced a plethora of new problems in optimization, control, and simulation of the grid that have posed challenges to conventional computing approaches, which are primarily digital in nature. The project team will develop new tools for the modeling, analysis, design, and benchmarking of alternative computing approaches, namely electronic analog and hybrid computing, with the ultimate aim of facilitating the implementation of critical algorithms and tools for the future electric grid that are not practical or feasible with the prevailing digital computing paradigm. The potential advancements in computing technologies will benefit a variety of other industrial sectors, such as transportation and manufacturing, and drive advances in computing and semiconductor technology broadly. We will explore a number of fundamental questions related to electronic analog and hybrid computing systems, including a unified and system-theoretic assessment of their design, stability, performance, and robustness, motivated by their potential role in enabling applications for future power and energy systems. We propose three approaches to our project: i) modeling and analysis, ii) design automation, and iii) performance assessment. Through our research program, we will develop comprehensive modeling and analysis methods that will yield accurate, stable, and predictable electronic analog and hybrid computers. We will leverage these insights to develop an open-source design automation library and toolchain that will enable users to easily synthesize various controllers, optimizers, or simulators as an analog or hybrid computer. Finally, we will develop a first-principles performance assessment tool that will clarify the benefits of utilizing analog or hybrid computers, identify the particular applications for which their benefits can be fully realized, and enable principled and quantitative comparisons among analog, hybrid, and digital computers to be made.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.

该项目将开发旨在使电网更可靠、更高效和更可持续的计算方法。在过去的几十年里，随着太阳能和风能等分布式能源的迅速采用，以及电动汽车充电，电网发生了巨大的变化。这些趋势在网格的优化、控制和模拟方面引入了过多的新问题，对主要是数字本质的传统计算方法提出了挑战。项目组将开发新的工具，用于替代计算方法的建模、分析、设计和基准，即电子模拟和混合计算，最终目的是促进实施用于未来电网的关键算法和工具，这些算法和工具在当前的数字计算模式下是不实用或不可行的。计算技术的潜在进步将使各种其他工业部门受益，如运输和制造，并推动计算和半导体技术的广泛进步。我们将探索一些与电子模拟和混合计算系统相关的基本问题，包括对它们的设计、稳定性、性能和健壮性进行统一的系统理论评估，以使它们能够在未来的电力和能源系统中发挥潜在的作用。我们为我们的项目提出了三种方法：i)建模和分析，ii)设计自动化，以及iii)性能评估。通过我们的研究计划，我们将开发全面的建模和分析方法，以产生准确、稳定和可预测的电子模拟和混合计算机。我们将利用这些洞察力开发一个开源的设计自动化库和工具链，使用户能够轻松地将各种控制器、优化器或模拟器合成为模拟或混合计算机。最后，我们将开发一种第一原则性能评估工具，该工具将阐明使用模拟或混合计算机的好处，确定其好处可以充分实现的特定应用，并能够在模拟、混合和数字计算机之间进行原则性和量化比较。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。