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

越来越多的可再生能源通过电力电子逆变器进入电网，从根本上改变了电网的动态，并引起了新出现的次同步振荡问题。NSF EAGER项目旨在了解相互连接的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。该项目将通过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。这将通过开发一种新的基于网络的框架来分析和控制次同步振荡来实现。该项目的智力优势包括新的见解，将补充现有研究成果，提供对次同步振荡机制的更深入的理解和更完整的画面，以及新的基于网络的控制策略，这将有助于电网规划者和运营商解决这一问题。该项目的更广泛影响包括促进可再生能源的日益普及，这对向可持续经济和社会发展至关重要，并促进多学科教育和向学术界和工业界传播成果。随着逆变器资源的日益普及，电力系统中出现了次同步振荡事件，危及电网的稳定性和可靠性。SSO是由逆变器的快速和复杂的控制动力学驱动的。在具有许多异质ibr的大型电网中，由于这些ibr之间复杂的相互作用，理解SSO机制并开发缓解解决方案具有挑战性。这个NSF项目将为SSO分析和控制设计一个基于网络的框架。该框架将具有许多异构ibr的大型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。该项目将提高对SSO机制的理解和设计缓解战略的基础知识水平，以支持大规模可再生资源在国家电网中的可靠整合。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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.