Tootfinder

Network-Independent Incremental Passivity Conditions for Grid-Forming Inverter Control
Jared Miller, Maitraya Avadhut Desai, Xiuqiang He, Roy S. Smith, Gabriela Hug
https://arxiv.org/abs/2506.14469

Network-Independent Incremental Passivity Conditions for Grid-Forming Inverter Control
Grid-forming inverters control the power transfer between the AC and DC sides of an electrical grid while maintaining the frequency and voltage of the AC side. This paper focuses on ensuring large-signal stability of an electrical grid with inverter-interfaced renewable sources. We prove that the Hybrid-Angle Control (HAC) scheme for grid-forming inverters can exhibit incremental passivity properties between current and voltage at both the AC and DC ports. This incremental passivity can be cert…

Grid Edge Intelligence-Assisted Model Predictive Framework for Black Start of Distribution Systems with Inverter-Based Resources
Junyuan Zheng, Salish Maharjan, Zhaoyu Wang
https://arxiv.org/abs/2508.12937

Grid Edge Intelligence-Assisted Model Predictive Framework for Black Start of Distribution Systems with Inverter-Based Resources
The growing proliferation of distributed energy resources (DERs) is significantly enhancing the resilience and reliability of distribution systems. However, a substantial portion of behind-the-meter (BTM) DERs is often overlooked during black start (BS) and restoration processes. Existing BS strategies that utilize grid-forming (GFM) battery energy storage systems (BESS) frequently ignore critical frequency security and synchronization constraints. To address these limitations, this paper propo…

Voltage Stability of Inverter-Based Systems: Impact of Parameters and Irrelevance of Line Dynamics
Sushobhan Chatterjee, Sijia Geng
https://arxiv.org/abs/2506.13341

Voltage Stability of Inverter-Based Systems: Impact of Parameters and Irrelevance of Line Dynamics
This paper investigates voltage stability in inverter-based power systems concerning fold and saddle-node bifurcations. An analytical expression is derived for the sensitivity of the stability margin using the normal vector to the bifurcation hypersurface. Such information enables efficient identification of effective control parameters in mitigating voltage instability. Comprehensive analysis reveals that reactive loading setpoint and current controller's feedforward gain are the most influent…

Aggregating Inverter-Based Resources for Fast Frequency Response: A Nash Bargaining Game-Based Approach
Xiang Zhu, Hua Geng, Hongyang Qing, Xin Zou
https://arxiv.org/abs/2506.13291

Aggregating Inverter-Based Resources for Fast Frequency Response: A Nash Bargaining Game-Based Approach
This paper proposes a multi-objective optimization (MOO) approach for grid-level frequency regulation by aggregating inverter-based resources (IBRs). Virtual power plants (VPPs), acting as aggregators, can efficiently respond to dynamic response requirements from the grid. Through parametric modeling, grid-level frequency regulation requirements are accurately quantified and translated into a feasible parameter region defined by device-level parameters. Based on this feasible region, an MOO mod…

Balkonkraftwerk is the German success story of plug-in solar energy (one or two solar panels, inverter with 🔌), which can be self-installed by apartment dwellers and has democratised solar energy. There are now officially over one million of these installations in Germany.
(cartoon ©️ Til Mette)
https://www.…

Microgrid Operation Control with Adaptable Droop Gains
E. D. Gomez Anccas, C. A. Hans, D. Schulz
https://arxiv.org/abs/2506.15192 https://

Microgrid Operation Control with Adaptable Droop Gains
Modern low-carbon power systems come with many challenges, such as increased inverter penetration and increased uncertainty from renewable sources and loads. In this context, the microgrid concept is a promising approach, which is based on a segmentation of the grid into independent smaller cells that can run either in grid-connected or standalone mode.In microgrids, droop control is widely used for primary control. It enables proportional power sharing, depending on the droop gains. Operation …

Optimal Voltage Control Using Online Exponential Barrier Method
Peng Zhang, Baosen Zhang
https://arxiv.org/abs/2506.10247 https://arx…

Optimal Voltage Control Using Online Exponential Barrier Method
This paper address the optimal voltage control problem of distribution systems with high penetration of inverter-based renewable energy resources, under inaccurate model information. We propose the online exponential barrier method that explicitly leverages the online feedback from grids to enhance the robustness to model inaccuracy and incorporates the voltage constraints to maintain the safety requirements. We provide analytical results on the optimal barrier parameter selection and sufficien…

Identification of Sub/Super-Synchronous Control Interaction Paths Using Dissipative Energy Flow
Kaustav Chatterjee, Sameer Nekkalapu, Sayak Mukherjee, Ramij Raja Hossain, Marcelo Elizondo
https://arxiv.org/abs/2508.11561

Identification of Sub/Super-Synchronous Control Interaction Paths Using Dissipative Energy Flow
Sub- and super-synchronous control interactions (SSCIs) are oscillations arising from adverse interactions between inverter-based resource (IBR) controls and the power network. SSCIs often involve multiple frequencies and propagate through complex, interconnected paths, making it difficult for model-based approaches to identify both the sources and the paths of oscillatory energy flow. This paper extends the Dissipative Energy Flow (DEF) method, originally developed for low-frequency electromec…

Transient-Stability-Aware Frequency Provision in IBR-Rich Grids via Information Gap Decision Theory and Deep Learning
Amin Masoumi, Mert Korkali
https://arxiv.org/abs/2507.13265

Transient-Stability-Aware Frequency Provision in IBR-Rich Grids via Information Gap Decision Theory and Deep Learning
This paper introduces a framework to address the critical loss of transient stability caused by reduced inertia in grids with high inverter-based resource (IBR) penetration. The proposed method integrates a predictive deep learning (DL) model with information gap decision theory (IGDT) to create a risk-averse dispatch strategy. By reformulating the conventional virtual inertia scheduling (VIS) problem, the framework uses early predictions of post-fault dynamics to proactively redispatch resourc…

Just picked up a Jackery battery/inverter with solar module and noticed it had Bluetooth, so tried pairing it with my phone.
No luck.
Grabbed the app to see if that would pair. Greeted with a login/register page.
FUCK THAT!
I'm not creating some account for a local device. Not looking good so far on this product, but I'll resume looking at it after I get home.

ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis
Zedong Peng, Zeju Li, Mingzhe Gao, Qiang Xu, Chen Zhang, Jieru Zhao
https://arxiv.org/abs/2507.03255

ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis
We introduce ForgeEDA, an open-source comprehensive circuit dataset across various categories. ForgeEDA includes diverse circuit representations such as Register Transfer Level (RTL) code, Post-mapping (PM) netlists, And-Inverter Graphs (AIGs), and placed netlists, enabling comprehensive analysis and development. We demonstrate ForgeEDA's utility by benchmarking state-of-the-art EDA algorithms on critical tasks such as Power, Performance, and Area (PPA) optimization, highlighting its ability to…

Hat tip to John Kemp for admitting that he was wrong to blame Spain's blackout on excessive reliance on inverter-based renewables and insufficient inertia, and 👏 for his very decent explainer on what actually happened. https://jkempenergy.com/2025/06/19/spa

Spain’s blackout blamed on poor voltage control
19 June 2025 Spain’s massive blackout was caused by overvoltage on the transmission system and the failure of the country’s generators to compensate by absorbing more reactive power, according to t…

Inverter microwave is so much better, even at full power. Amazing.

Encoder-Inverter Framework for Seismic Acoustic Impedance Inversion
Junheng Peng, Yingtian Liu, Mingwei Wang, Yong Li, Wen Feng
https://arxiv.org/abs/2507.19933 https://

Encoder-Inverter Framework for Seismic Acoustic Impedance Inversion
Seismic acoustic impedance inversion is one of the most challenging tasks in geophysical exploration, facing difficulties such as insufficient well-logging data and non-linear relationships. Most inversion methods rely on strategies such as semi-supervised learning, and their inversion accuracy and stability still need further improvement. In this work, we propose a novel inversion framework that innovatively maps continuous seismic traces into high-dimensional linear features, transforming the…

This https://arxiv.org/abs/2506.03430 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
This paper presents a \textit{physics-based} steady-state equivalent circuit model of a two-stage bidirectional inverter. These inverters connect distributed energy resources (DERs), such as photovoltaic (PV) and battery systems, to distribution grids. Existing inverter models have technical gaps on three fronts: i) inadequate modeling of inverter losses, ii) use of mathematical abstractions for bidirectional flow of power, and iii) inability to integrate different control modes into nonlinear …

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
Emmanuel O. Badmus, Amritanshu Pandey
https://arxiv.org/abs/2506.03430

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
This paper presents a \textit{physics-based} steady-state equivalent circuit model of a two-stage bidirectional inverter. These inverters connect distributed energy resources (DERs), such as photovoltaic (PV) and battery systems, to distribution grids. Existing inverter models have technical gaps on three fronts: i) inadequate modeling of inverter losses, ii) use of mathematical abstractions for bidirectional flow of power, and iii) inability to integrate different control modes into nonlinear …

Grid-Connected, Data-Driven Inverter Control, Theory to Hardware
Sebastian Graf, Keith Moffat, Anurag Mohapatra, Alessandro Chiuso, Florian D\"orfler
https://arxiv.org/abs/2507.02325

Grid-Connected, Data-Driven Inverter Control, Theory to Hardware
Grid-connected inverter control is challenging to implement due to the difficulty of obtaining and maintaining an accurate grid model. Direct Data-Driven Predictive Control provides a model-free alternative to traditional model-based control methods. This paper describes how the recently-proposed Transient Predictive Control (TPC) can be used for real-world, plug-and-play inverter control. The following hypotheses were tested: 1) The TPC algorithm can be run online using standard hardware, and …

Imperfect Competition in Markets for Short-Circuit Current Services
Peng Wang, Luis Badesa
https://arxiv.org/abs/2508.09425 https://arxiv.org/pdf/2508.0942…

Imperfect Competition in Markets for Short-Circuit Current Services
An important limitation of Inverter-Based Resources (IBR) is their reduced contribution to Short-Circuit Current (SCC), as compared to that of Synchronous Generators (SGs). With increasing penetration of IBR in most power systems, the reducing SCC poses challenges to a secure system operation, as line protections may not trip when required. In order to address this issue, the SCC ancillary service could be procured via an economic mechanism, aiming at securing adequate SCC on all buses. However…

Optimization-Based Comparative System Evaluation of Single and Dual Traction Inverters with Focus on Partial Load Efficiency and Chip Area
Christoph Sachs, Fabian Stamer, Jan Allgeier, Duleepa Thrimawithana, Martin Neuburger
https://arxiv.org/abs/2507.03573

Optimization-Based Comparative System Evaluation of Single and Dual Traction Inverters with Focus on Partial Load Efficiency and Chip Area
The transition to electric transportation demands efficient and cost-effective powertrains. Optimizing energy use is crucial for extending range and reducing expenses. However, comparing inverter and motor efficiency based on inverter topologies is challenging due to biased methodologies that favor certain designs over others. This document introduces a novel optimization-based approach for enhancing partial load efficiency and minimizing chip area of single and dual traction inverters, indicat…

Revisiting Power System Stabilizers with Increased Inverter-Based Generation: A Case Study
Jovan Krajacic, Keith Moffat, Gustavo Valverde
https://arxiv.org/abs/2506.19357

Revisiting Power System Stabilizers with Increased Inverter-Based Generation: A Case Study
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 increased IBR penetration, using the benchmark Kundur Two-A…

New Power Decoupling Method for Grid Forming Inverter Based on Adaptive Virtual-Synchronous Machine in Weak Grids
Waleed Breesam, Stefan M. Goetz
https://arxiv.org/abs/2506.18619 …

New Power Decoupling Method for Grid Forming Inverter Based on Adaptive Virtual-Synchronous Machine in Weak Grids
Many countries' policies have shifted rapidly towards using renewable energy for climate reasons. As a result, inverter-based resources are beginning to dominate power systems. Key elements for managing the loss of conventional generators are virtual-synchronous-generator-based grid-forming inverters. Despite the unique advantages of this technology, there are still various challenges, most notably the problem of active-reactive power coupling due to a nonzero power angle and high grid impedanc…

Quantitative Damping Calculation and Compensation Method for Global Stability Improvement of Inverter-Based Systems
Yang Li, Zenghui Zheng, Xiangyang Wu, Jiayong Li, Wei Wang, Qiang Zeng, Zhikang Shuai
https://arxiv.org/abs/2507.18001

Quantitative Damping Calculation and Compensation Method for Global Stability Improvement of Inverter-Based Systems
Small-signal stability issues-induced broadband oscillations pose significant threats to the secure operation of multi-inverter systems, attracting extensive research attention. Researches revealed that system instability is led by the lacking of positive damping, yet it has not been clearly specified how much the exact amount of damping compensation required to sufficiently ensure system global stability. This paper presents a feasible solution for quantitative damping calculation and compensa…

Integrating Grid impedance estimation method into Advanced Angle Estimation Kalman Filter in GFL inverter
Phuoc Sang Nguyen, Ghavameddin Nourbakhsh, Gerard Ledwich
https://arxiv.org/abs/2507.17325

Integrating Grid impedance estimation method into Advanced Angle Estimation Kalman Filter in GFL inverter
The growing integration of power electronic converter-interfaced distributed energy resources into modern power systems presents significant challenges for system monitoring, protection, and control. Grid impedance plays a critical role in the operation and stability assessment of grid-connected inverter systems. This study presents a real-time grid impedance estimation method based on the Discrete Fourier Transform. The proposed method is integrated with the Advanced Angle Estimation Kalman Fi…

Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids
Sarra Bouchkati, Ramil Sabirov, Steffen Kortmann, Andreas Ulbig
https://arxiv.org/abs/2506.19353

Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids
This paper introduces an efficient Residual Reinforcement Learning (RRL) framework for voltage control in active distribution grids. Voltage control remains a critical challenge in distribution grids, where conventional Reinforcement Learning (RL) methods often suffer from slow training convergence and inefficient exploration. To overcome these challenges, the proposed RRL approach learns a residual policy on top of a modified Sequential Droop Control (SDC) mechanism, ensuring faster convergenc…

Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies
Kyung-Bin Kwon, Sayak Mukherjee, Ramij R. Hossain, Marcelo Elizondo
https://arxiv.org/abs/2507.15259

Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies
This letter develops a novel physics-informed neural ordinary differential equations-based framework to emulate the proprietary dynamics of the inverters -- essential for improved accuracy in grid dynamic simulations. In current industry practice, the original equipment manufacturers (OEMs) often do not disclose the exact internal controls and parameters of the inverters, posing significant challenges in performing accurate dynamic simulations and other relevant studies, such as gain tunings fo…

Impact of Communication Delay and Sampling on Small-Signal Stability of IBR-rich Power Systems
Saugat Ghimire, Vaithianathan "Mani" Venkatasubramanian, Gilles Torresan
https://arxiv.org/abs/2507.16963

Impact of Communication Delay and Sampling on Small-Signal Stability of IBR-rich Power Systems
The growing adoption of inverter-based resources (IBRs) has introduced unprecedented dynamics in power systems, resulting in oscillations across a broad spectrum of frequencies. Communication delay between the plant-level control and the inverter-level control in IBR plants has been recognized as one of the causes of such oscillations and a factor that impacts the system's stability. The control signals from the plant-level controller also experience sampling, with the sampled values held const…

Enhancing Power Flow Estimation with Topology-Aware Gated Graph Neural Networks
Shrenik Jadhav, Birva Sevak, Srijita Das, Wencong Su, Van-Hai Bui
https://arxiv.org/abs/2507.02078 …

Enhancing Power Flow Estimation with Topology-Aware Gated Graph Neural Networks
Accurate and scalable surrogate models for AC power flow are essential for real-time grid monitoring, contingency analysis, and decision support in increasingly dynamic and inverter-dominated power systems. However, most existing surrogates fall short of practical deployment due to their limited capacity to capture long-range nonlinear dependencies in meshed transmission networks and their weak enforcement of physical laws. These models often require extensive hyperparameter tuning, exhibit poo…

This https://arxiv.org/abs/2503.13788 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Geometry of the Feasible Output Regions of Grid-Interfacing Inverters with Current Limits
Many resources in the grid connect to power grids via programmable grid-interfacing inverters that can provide grid services and offer greater control flexibility and faster response times compared to synchronous generators. However, the current through the inverter needs to be limited to protect the semiconductor components. Existing controllers are designed using somewhat ad hoc methods, for example, by adding current limiters to preexisting control loops, which can lead to stability issues o…

Approximating CCCV charging using SOC-dependent tapered charging power constraints in long-term microgrid planning
Hassan Zahid Butt, Xingpeng Li
https://arxiv.org/abs/2507.18853

Approximating CCCV charging using SOC-dependent tapered charging power constraints in long-term microgrid planning
Traditional long-term microgrid planning models assume constant power charging for battery energy storage systems (BESS), overlooking efficiency losses that occur toward the end of charge due to rising internal resistance. While this issue can be mitigated at the cell level using constant current-constant voltage (CCCV) charging, it is impractical at the pack level in large-scale systems. However, battery management systems and inverter controls can emulate this effect by tapering charging powe…

Recursive-ARX for Grid-Edge Fault Detection
Soufiane El Yaagoubi, Keith Moffat, Eduardo Prieto Araujo, Florian D\"orfler
https://arxiv.org/abs/2506.20011

Recursive-ARX for Grid-Edge Fault Detection
Future electrical grids will require new ways to identify faults as inverters are not capable of supplying large fault currents to support existing fault detection methods and because distributed resources may feed faults from the edge of the grid. This paper proposes the use of real-time system identification for online power-system fault detection. Specifically, we implement Recursive ARX (rARX) system identification on a grid-connected inverter. Experiments demonstrate that the proposed rARX…