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，高效和可持续性的计算方法。在过去几十年中，随着太阳能和风以及电动汽车充电等分布式能源的迅速采用，该电网迅速发展。这些趋势在对电网的优化，控制和模拟方面引入了许多新问题，这些问题对传统计算方法提出了挑战，这些计算方法主要是数字本质上的。该项目团队将开发新的工具，用于建模，分析，设计和基准测试替代计算方法，即电子模拟和混合计算，以促进对未来电网的关键算法和工具的实施最终目的，这些算法和工具对于普遍的数字计算范式而言是不切实际的或不可行的。计算技术的潜在进步将使许多其他工业领域（例如运输和制造）受益，并在计算和半导体技术方面的进步大大推动。我们将探讨与电子模拟和混合计算系统有关的许多基本问题，包括对其设计，稳定性，性能和鲁棒性的统一和系统理论评估，这是由于它们在为未来的电力和能源系统启用应用程序中的潜在作用而动机。我们提出了三种项目的方法：i）建模和分析，ii）设计自动化，iii）绩效评估。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，稳定且可预测的电子模拟和混合计算机。我们将利用这些见解来开发开源设计自动化库和工具链，该库将使用户轻松地将各种控制器，优化器或模拟器作为模拟或混合计算机合成。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，确定可以充分实现其收益的特定应用，并启用对模拟，混合计算机和数字计算机之间的原则性和定量比较。 标准。