Power System Stabilizer
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Related Articles from SNS
Revisiting Power System Stabilizers with Increased Inverter-Based Generation: A Case Study
arXiv:2506.19357v3 Announce Type: replace Abstract: As power systems evolve with increasing production from Inverter-Based Resources (IBRs), their underlying dynamics are undergoing significant changes that can jeopardize system operation, leading to poorly damped oscillations or small-signal rotor angle instability. In this work, we investigate whether Power System Stabilizer (PSS) setting adjustments can effectively restore system stability and provide adequate damping in systems with...
Advanced simulation framework for AC/MTDC power systems
arXiv:2606.09406v1 Announce Type: new Abstract: Alternating current (AC)/multi-terminal direct current (MTDC) hybrid power systems (HPSs) play a crucial role in enabling long-distance power transmission and flexible interconnections between AC grids. However, the challenges that HPSs encountered are numerous, with stability and harmonic issues being particularly prominent.
RocketSmith: An Agentic System for High-Powered Rocket Design and Manufacturing
Announce Type: replace Abstract: This work presents RocketSmith, an agentic system capable of the design, manufacturing, and optimization processes in high powered rocket development. The system enables the intelligent automation of software tools as to not only validate factors such as flight stability but also generate the parametric design components for the rocket assembly. A collection of subagents and skills enable optimization workflows of flight parameters via iteration in both...
A Unified Framework for Contraction Stability Analysis of Heterogeneous Grid-Forming Inverters
Announce Type: new Abstract: The shift to renewable-dominated power systems has produced low-inertia grids, undermining system stability. In this context, grid-forming inverters (GFMs) have emerged as a promising solution. However, GFMs challenge conventional analysis techniques, especially those relying on small-signal or root-mean-square (RMS) models.
Learning-Assisted Day-Ahead Energy Scheduling for Frequency-Secure Inverter-Dominated Grids with Grid-Forming Battery Energy Storage Systems
Announce Type: new Abstract: As grid-forming (GFM) battery energy storage systems (BESS) are increasingly deployed to enhance power system inertial response and frequency stability, incorporating their frequency support capabilities into day-ahead energy scheduling (DAES) is essential for achieving both frequency security and operational efficiency. However, accurately determining frequency metrics in grids with coexisting GFM inverters and synchronous generators requires electromagnetic...
Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings
arXiv:2606.02049v1 Announce Type: new Abstract: The increasing integration of renewable energy sources into power systems, particularly in buildings equipped with photovoltaic (PV) panels and energy storage systems, introduces significant complexity in energy systems. Volatile power generation, varying electricity tariffs, and increased entities, e.g., PV systems, and heat pumps, have increased the complexity and made the system harder to operate. This leads to the demand for additional...
Step-adaptive multimodal fusion network with multi-scale cloud feature learning for ultra-short-term solar irradiance forecasting
arXiv:2606.06102v1 Announce Type: new Abstract: Ultra-short-term solar irradiance prediction is critical for photovoltaic system dispatch and power grid stability. Existing approaches suffer from three key shortcomings: single time-series models cannot capture the spatial dynamics of clouds under complex conditions, standard convolutions inadequately represent multi-scale cloud features, and fixed low-frequency compensation strategies fail to adapt to different prediction steps. To address...
Unstable Poles Arising in AC Power Grid Subsystem Representations
new Abstract: Recent small-signal stability studies of AC grids have shifted towards analysing power systems as interconnections of subsystems and leveraging their input-output properties to derive scalable stability certificates. Two subsystem representations appear frequently in the literature: the PQ model, coupling powers to phase angle and voltage magnitude, and the IV model, coupling currents to voltages. In this paper, we derive both models without simplifying the bus or line dynamics...
China unveils first-of-its-kind 'dual-core' quantum computer — its makers say it improves stability and efficiency
China unveils first-of-its-kind 'dual-core' quantum computer — its makers say it improves stability and efficiency A new Chinese quantum computing system pairs two independent neutral-atom arrays in one processor, aiming to boost stability, efficiency and scalability. A Chinese company has unveiled what its researchers are calling the world’s first "dual-core" quantum computer. It's a neutral-atom system designed to improve stability, efficiency and error correction by pairing two...
Scientists found a surprisingly simple way to create powerful quantum states
Scientists found a surprisingly simple way to create powerful quantum states A simple tweak to a common quantum system could unlock powerful new quantum states for ultra-precise sensing and future quantum technologies. - Date: - June 6, 2026 - Source: - University of Chicago - Summary: - A team at the University of Chicago has discovered a surprisingly simple way to create powerful quantum states that are normally difficult to produce.