$\mathcal{H}_2$-norm transmission switching to improve synchronism of low-inertia power grids

并联型跟网式光伏逆变器的功角稳定性分析

Angular Stability Analysis of Parallel Connected Grid-following PV Inverters

本文研究低惯量弱电网中并联跟网式光伏逆变器的暂态功角稳定性，揭示线路阻抗、视在功率及最大电流限制对逆变器失步和临界故障清除时间的影响。

Dispatch of Virtual Inertia and Damping: Numerical Method with SDP and ADMM

Power grids are evolving toward 100% renewable energy interfaced by inverters. Virtual inertia and damping provided by inverters are essential to synchronism and frequency stability of future power grids. This paper numerically addresses the problem of dispatch of virtual inertia and damping (DID) among inverters in the transmission network. The DID problem is first formulated as a nonlinear program (NLP) by the Radua collocation method which is flexible to handle various types of disturbances and bounds constraints. Since the NLP of DID is highly non-convex, semi-definite programming (SDP) re…

具有可变惯性的电网频率控制在线事件触发切换

Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertia

针对电网时变惯性导致频率动态退化的问题，提出一种基于Neural-PI控制器的在线事件触发切换算法，在保证系统稳定性的同时优化了时变惯性下的频率控制性能。

基于抽水蓄能电站运行特征的实用电力系统惯量监测

Practical Power System Inertia Monitoring Based on Pumped Storage Hydropower Operation Signature

本文提出利用抽水蓄能电站切泵事件进行电力系统惯量监测的实用方法，通过改进RoCoF计算和事件检测触发器，在美国东西部互联电网验证中实现了3%-9.9%的误差率，为可再生能源并网下的电网可靠性决策提供支持。

The Nash Equilibrium with Inertia in Population Games

In the traditional game-theoretic set up, where agents select actions and experience corresponding utilities, an equilibrium is a configuration where no agent can improve their utility by unilaterally switching to a different action. In this work, we introduce the novel notion of inertial Nash equilibrium to account for the fact that, in many practical situations, action changes do not come for free. Specifically, we consider a population game and introduce the coefficients $c_{ij}$ describing the cost an agent incurs by switching from action $i$ to action $j$. We define an inertial Nash equil…

Learning Invariant Stabilizing Controllers for Frequency Regulation under Variable Inertia

Declines in cost and concerns about the environmental impact of traditional generation have boosted the penetration of renewables and non-conventional distributed energy resources into the power grid. The intermittent availability of these resources causes the inertia of the power system to vary over time. As a result, there is a need to go beyond traditional controllers designed to regulate frequency under the assumption of invariant dynamics. This paper presents a learning-based framework for the design of stable controllers based on imitating datasets obtained from linear-quadratic regulato…