Collaborative Research: Scalable Circuit theoretic Framework for Large Grid Simulations and Optimizations: from Combined T&D Planning to Electromagnetic Transients

协作研究：大型电网仿真和优化的可扩展电路理论框架：来自组合 T

• 批准号: 2330195
• 负责人: Amritanshu Pandey
• 金额: $ 25万
• 依托单位: University of Vermont & State Agricultural College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2027-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2330195&HistoricalAwards=false
• 关键词: Collaborative; Research; Scalable; Circuit; theoretic

This NSF project aims to develop a generalized distributed framework for solving large-scale power grid problems that are both fast and robust in most practical settings. The project will bring transformative change in the future grid operation and planning that depend on tractable large-scale time-domain and steady-state simulations and optimizations for rapid electrification and decarbonization. The project will bring about this transformation by advancing the state-of-the-art in nonlinear programming, physics-inspired graph-partitioning, and combinatorial optimization with submodular type objectives. The intellectual merits of the project include leveraging specialized bordered-block-diagonal structure of grid problems for computational tractability and physics-rooted equivalent-circuit representation of grid models for numerical stability and algorithm performance. The broader impacts of the project include accelerating technologies necessary for the transition to zero-carbon power grids, enabling citizen science efforts, and promoting undergraduate research and education. Zero-carbon electric grid operation and design will require solutions to large computations. These will range from system-wide electromagnetic transient simulations due to the growing penetration of inverter-based resources to large multi-period optimizations due to increasing resource uncertainty. State-of-the-art general methods cannot solve these large simulations and optimizations robustly and efficiently in practical settings due to their sheer size and complexity. We will leverage the underlying specialized properties stemming from the structure and physical behavior of grid problems to address these gaps through three project thrusts. Thrust 1 will build a scalable circuit-theoretic generalized framework to solve bordered-block-diagonal decomposable large nonlinear simulations (NLS) and optimizations (NLPs). Thrust 1 will harness equivalent circuit representations of the underlying problems to achieve project goals. Thrust 2 will introduce a novel metric for analytically quantifying the notion of strength of coupling between various subproblems in a decomposed regime, and Thrust 3 will identify optimal decomposition strategies. The proposed thrusts, while focused on power grids, can revolutionize the solution methodology of large-scale problems in many other domains.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NSF项目旨在开发一个通用的分布式框架，以解决在大多数实用环境中既快速又强大的大规模电网问题。该项目将在未来的网格操作和计划中带来变革性的变化，这些变化取决于可拖动的大规模时域和稳态模拟以及快速电气化和脱碳的优化。该项目将通过推进非线性编程，物理启发的图形分区和与suppodular类型目标的组合优化的最新技术来实现这种转变。该项目的智力优点包括利用网格问题的特殊边界块 - 障碍结构，用于计算障碍性和物理根基的等效电路表示网格模型的数值稳定性和算法性能。该项目的更广泛的影响包括过渡到零碳电网所需的加速技术，使公民科学努力以及促进本科研究和教育。零碳电网操作和设计将需要大型计算的解决方案。由于资源不确定性的增加，由于基于逆变器的资源的渗透到大型多周期优化，因此这些范围从系统范围的电磁瞬态模拟范围。最先进的一般方法无法在实用环境中牢固有效地解决这些大型模拟，并且由于其纯粹的大小和复杂性。我们将利用来自网格问题的结构和物理行为所产生的基本专业特性，通过三个项目推力来解决这些差距。推力1将构建一个可扩展的电路理论通用框架，以求解边界块 - 二角分解的大型非线性仿真（NLS）和优化（NLP）。推力1将利用基本问题的等效电路表示，以实现项目目标。推力2将引入一个新颖的指标，用于分析量化分解制度中各个子问题之间耦合强度的概念，而推力3将确定最佳分解策略。拟议的推力虽然专注于电网，但可以彻底改变许多其他领域中大规模问题的解决方案方法。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子和更广泛的影响来审查标准的评估值得支持的。