EAGER: Toward a Network-Based Framework for Analysis and Control of Inverter-Dominated Power Grids

EAGER：建立基于网络的逆变器主导电网分析和控制框架

• 批准号: 2333563
• 负责人: Di Wu
• 金额: $ 25万
• 依托单位: North Dakota State University Fargo
• 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: 2023-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2333563&HistoricalAwards=false
• 关键词: EAGER; Toward; Network; Based; Framework

The growing integration of renewable energy into the power grid via power electronic inverters has fundamentally changed grid dynamics, and caused emerging issues of sub-synchronous oscillations. This NSF EAGER project aims to understand how interconnected inverters collectively cause these oscillations, and how to design control strategies to mitigate them. The project will bring transformative changes to oscillation analyses and control by leveraging the structural properties of the underlying power network, which are radically different from the existing traditional methods. This will be achieved by developing a novel network-based framework for analysis and control of sub-synchronous oscillations. The intellectual merits of the project include new insights that will complement those obtained from current studies to provide a deeper understanding and a more complete picture of the sub-synchronous oscillation mechanism, as well as novel network-based control strategies that will help grid planners and operators in addressing this problem. The broader impacts of the project include contributing to the increasing adoption of renewable energy, which is essential for evolving towards a sustainable economy and society, and fostering multidisciplinary education and dissemination of results to academia and industry. The increasing penetration of inverter-based resources (IBRs) has resulted in sub-synchronous oscillation (SSO) events in electric power systems, jeopardizing grid stability and reliability. The SSO is driven by the fast and complex control dynamics of inverters. It is challenging to understand the SSO mechanism and develop mitigation solutions in a large-scale power grid with many heterogenous IBRs due to the complex interaction between these IBRs. This NSF project will design a network-based framework for SSO analysis and control. This framework will transform a large-scale power system with many heterogenous IBRs into a set of simple subsystems for interpreting SSO mechanism and developing mitigation strategies from the perspective of power network structure. This project will advance the state of fundamental knowledge on understanding the SSO mechanism and designing mitigation strategies to support the reliable integration of large-scale renewable resources in the national grid.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.

可再生能源通过电力电子逆变器日益融入电网，从根本上改变了电网动态，并引发了次同步振荡的新问题。 NSF EAGER 项目旨在了解互连逆变器如何共同引起这些振荡，以及如何设计控制策略来减轻这些振荡。该项目将利用底层电网的结构特性，为振荡分析和控制带来革命性的变化，这与现有的传统方法截然不同。这将通过开发一种用于分析和控制次同步振荡的新颖的基于网络的框架来实现。该项目的智力优点包括新的见解，将补充从当前研究中获得的见解，以提供对次同步振荡机制的更深入的理解和更完整的了解，以及新颖的基于网络的控制策略，这将有助于电网规划者和运营商来解决这个问题。该项目更广泛的影响包括促进可再生能源的广泛采用，这对于实现可持续经济和社会至关重要，并促进多学科教育以及向学术界和工业界传播成果。基于逆变器的资源（IBR）的日益普及导致电力系统中出现次同步振荡（SSO）事件，危及电网的稳定性和可靠性。 SSO 由逆变器的快速且复杂的控制动态驱动。由于这些 IBR 之间复杂的相互作用，在具有许多异构 IBR 的大规模电网中理解 SSO 机制并开发缓解解决方案具有挑战性。该 NSF 项目将设计一个基于网络的 SSO 分析和控制框架。该框架将把具有许多异构IBR的大规模电力系统转变为一组简单的子系统，用于从电力网络结构的角度解释SSO机制并制定缓解策略。该项目将提高了解 SSO 机制和设计缓解策略的基础知识，以支持大规模可再生资源在国家电网中的可靠整合。该奖项反映了 NSF 的法定使命，并通过评估被认为值得支持基金会的智力价值和更广泛的影响审查标准。