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

可再生能源通过电力电子逆变器越来越多地并入电网，从根本上改变了电网动态，并引发了新出现的次同步振荡问题。这个NSF项目旨在了解互连的逆变器如何共同导致这些振荡，以及如何设计控制策略来缓解它们。该项目将通过利用底层电网的结构特性，给振荡分析和控制带来革命性的变化，这与现有的传统方法完全不同。这将通过开发一个新的基于网络的分析和控制次同步振荡的框架来实现。该项目的学术价值包括对当前研究的新见解的补充，以提供对次同步振荡机制的更深入了解和更完整的图景，以及有助于电网规划者和运营商解决这一问题的新颖的基于网络的控制策略。该项目的更广泛影响包括促进越来越多地采用可再生能源，而可再生能源是实现可持续经济和社会发展的关键，以及促进多学科教育和向学术界和工业界传播成果。逆变器资源(IBR)的日益普及导致电力系统发生次同步振荡(SSO)事件，危及电网的稳定性和可靠性。单次同步振荡是由逆变器快速复杂的控制动态特性驱动的。由于多个异质IBR之间的复杂相互作用，在具有多个异质IBR的大规模电网中理解SSO机制并制定缓解方案是具有挑战性的。该NSF项目将设计一个基于网络的单点登录分析和控制框架。该框架将一个具有多个异质IBR的大规模电力系统转化为一组简单的子系统，用于从电网结构的角度解释SSO机制和制定缓解策略。该项目将促进在理解SSO机制和设计缓解策略以支持大规模可再生资源在国家电网中的可靠整合方面的基础知识状况。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。

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.