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.

通过电力电子逆变器将可再生能源整合到功率网格中的日益增长，从根本上改变了电网动力学，并引起了次同步振荡的新兴问题。这个NSF急切的项目旨在了解互连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它们。该项目将通过利用基础功率网络的结构属性来为振荡分析和控制带来变革性的变化，这些功率网络与现有的传统方法根本不同。这将通过开发基于网络的新型框架来分析和控制亚同步振荡。该项目的智力优点包括新见解，这些见解将补充从当前研究中获得的，以提供更深入的理解和对次同步振荡机制的更完整的了解，以及基于网络的新颖基于网络的控制策略，这些策略将帮助网格规划人员和运营商解决此问题。该项目的更广泛的影响包括促进不断增加的可再生能源的采用，这对于向可持续经济和社会发展而言至关重要，并促进了多学科教育以及对学术界和行业的成果的传播。基于逆变器的资源（IBR）的渗透增加导致电力系统中的次同步振荡（SSO）事件，危害电网稳定性和可靠性。 SSO由逆变器的快速和复杂控制动力学驱动。由于这些IBR之间的复杂相互作用，了解SSO机制并在具有许多异质IBR的大规模功率网格中开发缓解溶液是一项挑战。该NSF项目将设计一个基于网络的框架，用于SSO分析和控制。该框架将将许多异源IBRS的大规模电力系统转变为一组简单的子系统，用于解释SSO机制并从功率网络结构的角度来开发缓解策略。该项目将促进有关理解SSO机制和设计缓解策略的基本知识的状态，以支持国家网格中大规模可再生资源的可靠整合。该奖项反映了NSF的法定任务，并被视为值得通过基金会的知识分子和更广泛影响的评估来通过评估来获得支持。