Tootfinder

Privacy-Preserving Distributed Control for a Networked Battery Energy Storage System
Mihitha Maithripala, Zongli Lin
https://arxiv.org/abs/2508.19345 https://

Privacy-Preserving Distributed Control for a Networked Battery Energy Storage System
The increasing deployment of distributed Battery Energy Storage Systems (BESSs) in modern power grids necessitates effective coordination strategies to ensure state-of-charge (SoC) balancing and accurate power delivery. While distributed control frameworks offer scalability and resilience, they also raise significant privacy concerns due to the need for inter-agent information exchange. This paper presents a novel privacy-preserving distributed control algorithm for SoC balancing in a networked…

Optimal Sizing of Community Photovoltaic and Battery Energy Storage Systems with Second-Life Batteries in Peer-to-Peer Energy Communities
J\'ulia Monar, Fernando Garc\'ia-Mu\~noz, Natalia Jorquera Bravo, Joaqu\'in Aballay Araya, Vicente Castro Burgos
https://arxiv.org/abs/2509.18082

Optimal Sizing of Community Photovoltaic and Battery Energy Storage Systems with Second-Life Batteries in Peer-to-Peer Energy Communities
This article presents a mixed-integer second-order cone programming model to determine the optimal sizing of a community-shared photovoltaic and battery energy storage system (PV-BESS) within a peer-to-peer (P2P) energy trading framework. The model accounts for heterogeneous users who may already own individual PV or PV-BESS systems and aims to enhance the overall energy autonomy of the energy community. A key feature of the model is the explicit comparison between first-life (FL) and second-li…

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…

"Germany adds almost 4.59 GWh of battery storage already this year"
#Germany #Batteries #Energy

Germany adds almost 4.59 GWh of battery storage already this year
Analysis by pv magazine shows almost 2.1 million battery storage systems (BESS) are now in operation in Germany. The latest figures for this year are 362,537 systems with a power output of around 2.6 GW and a cumulative storage capacity of 4.59 GWh.

Yes, at German discount supermarkets, you can purchase a do-it-yourself 'Balkonsolar' system and battery. Simply plug it in and you're ready to go.
However, Aldi Australia offers complete systems: 6 kW solar, a 5.5 kW inverter and a 10 kWh LFP battery, fully installed for AU$7,000 (€4,000)!

Supermarket giant expands rooftop solar and battery offer
Budget supermarket chain Aldi is expanding its residential solar business, opening up sales of its rooftop PV and battery energy storage packages to customers in Australia’s eastern states after a trial in Victoria.

Stochastic Economic Dispatch with Battery Energy Storage considering Wind and Load Uncertainty
Shishir Lamichhane, Anamika Dubey
https://arxiv.org/abs/2509.18100 https://…

Asymptotic freedom of dephased charging
Chayan Purkait, B. Prasanna Venkatesh, Gentaro Watanabe
https://arxiv.org/abs/2508.13497 https://arxiv.org/pdf/2508…

Asymptotic freedom of dephased charging
Quantum batteries, small-scale energy storage devices based on quantum systems, offer the potential for enhanced charging performance through quantum effects such as coherence and collectivity. In this work, we study the collective charging of a quantum battery consisting of N qubits, coupled to a driven qubit charger in a star configuration, with controlled pure dephasing acting on the charger. We investigate how an "asymptotic freedom"-like behavior, in which all the energy deposited into the…

Energy companies in Vermont offer major rebates on money-saving appliances. Some families can get appliances at little to no cost, while others benefit from discounts on battery-storage systems and electric-vehicle charging.
https://www.thecooldown.com/green-home/ver

Energy companies offer homeowners major rebates on money-saving appliances: 'It saved potentially up to $3 million in one hour'
Local utility companies in Vermont could help you reduce your electricity bill while also keeping your home prepared for outages.

Techno-Economic Planning of Spatially-Resolved Battery Storage Systems in Renewable-Dominant Grids Under Weather Variability
Seyed Ehsan Ahmadi, Elnaz Kabir, Mohammad Fattahi, Mousa Marzband, Dongjun Li
https://arxiv.org/abs/2508.12526

Techno-Economic Planning of Spatially-Resolved Battery Storage Systems in Renewable-Dominant Grids Under Weather Variability
The ongoing energy transition is significantly increasing the share of renewable energy sources (RES) in power systems; however, their intermittency and variability pose substantial challenges, including load shedding and system congestion. This study examines the role of the battery storage system (BSS) in mitigating these challenges by balancing power supply and demand. We optimize the location, size, and type of batteries using a two-stage stochastic program, with the second stage involving …

Predictive Energy Management for Mitigating Load Altering Attacks for Islanded Microgrids Using Battery Energy Storage Systems
Satish Vedula, Koto Omiloli, Ayobami Olajube, Olugbenga Anubi
https://arxiv.org/abs/2507.01852

Predictive Energy Management for Mitigating Load Altering Attacks for Islanded Microgrids Using Battery Energy Storage Systems
An increasing number of smart devices controlling loads opens a potential pathway for false data attacks which could alter the loads. The presence of energy storage with its ability to quickly respond to discrepancies in loads offers a promising solution for security by preventing further instabilities and potential blackouts. This paper proposes a control methodology for secure predictive energy management that uses batteries to mitigate the impact of load-altering attacks. To that extent, we …

Home batteries are revolutionizing how America deals with blackouts. Find out how these innovative solutions are providing reliable backup power and transforming the energy landscape. #climatechange #climatesolutions

Home batteries are saving America from blackouts
Home battery storage systems are keeping lights on during summer energy crunches in Puerto Rico and elsewhere across the United States.

Towards Intelligent Battery Management via A Five-Tier Digital Twin Framework
Tianwen Zhu, Hao Wang, Zhiwei Cao, Jiarong Xi, Yonggang Wen
https://arxiv.org/abs/2509.02366 https:…

Towards Intelligent Battery Management via A Five-Tier Digital Twin Framework
Battery management systems (BMSs) are critical to ensuring safety, efficiency, and longevity across electronics, transportation, and energy storage. However, with the rapid growth of lithium-ion batteries, conventional reactive BMS approaches face limitations in health prediction and advanced maintenance management, resulting in increased safety risks and economic costs. To address these challenges, we propose a five-tier digital twin framework for intelligent battery management. The framework …

$\beta$-Irida-Graphene: A New 2D Carbon Allotrope for Sodium-Ion Battery Anodes
Jos\'e A. S. Laranjeira, Kleuton A. L. Lima, Nicolas F. Martins, Luiz A. Ribeiro Junior, Douglas S. Galv\~ao, Luis A. Cabral, Julio R. Sambrano
https://arxiv.org/abs/2508.04506

$β$-Irida-Graphene: A New 2D Carbon Allotrope for Sodium-Ion Battery Anodes
The quest for sustainable and efficient energy storage has driven the exploration of sodium-ion batteries (SIBs) as promising alternatives to lithium-ion systems. However, the larger ionic radius of sodium poses intrinsic challenges such as slow diffusion and structural strain in conventional electrode materials. As a contribution to addressing these limitations, the \b{eta}-Irida-graphene ($β$-IG) is herein introduced, a novel two-dimensional (2D) carbon allotrope derived from Irida-graphene,…

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…

Heisenberg spin chain models for realising quantum battery with the aid of Dzyaloshinskii Moriya interaction
Suprabha Bhattacharya, Vivek Balasaheb Sabale, Atul Kumar
https://arxiv.org/abs/2508.20529

Heisenberg spin chain models for realising quantum battery with the aid of Dzyaloshinskii Moriya interaction
This work investigates the energy storage properties of quantum spin chains in the context of quantum batteries by introducing Heisenberg spin chain models composed of eight qubits, organized into three configurations: open, closed, and supercube geometries. The charging dynamics of the mentioned systems are examined using Hamiltonians that include contributions from the battery, spin-spin interactions, and a transverse magnetic field. The inclusion of the Dzyaloshinskii Moriya interaction (DMI…

Optimal Sizing and Control of a Grid-Connected Battery in a Stacked Revenue Model Including an Energy Community
Tudor Octavian Pocola, Valentin Robu, Jip Rietveld, Sonam Norbu, Benoit Couraud, Merlinda Andoni, David Flynn, H. Vincent Poor
https://arxiv.org/abs/2507.04343

Optimal Sizing and Control of a Grid-Connected Battery in a Stacked Revenue Model Including an Energy Community
Recent years have seen rapid increases in intermittent renewable generation, requiring novel battery energy storage systems (BESS) solutions. One recent trend is the emergence of large grid-connected batteries, that can be controlled to provide multiple storage and flexibility services, using a stacked revenue model. Another emerging development is renewable energy communities (REC), in which prosumers invest in their own renewable generation capacity, but also requiring battery storage for fle…

Accounting for Subsystem Aging Variability in Battery Energy Storage System Optimization
Melina Grane, Martin Cornejo, Holger Hesse, Andreas Jossen
https://arxiv.org/abs/2507.04813

Accounting for Subsystem Aging Variability in Battery Energy Storage System Optimization
This paper presents a degradation-cost-aware optimization framework for multi-string battery energy storage systems, emphasizing the impact of inhomogeneous subsystem-level aging in operational decision-making. We evaluate four scenarios for an energy arbitrage scenario, that vary in model precision and treatment of aging costs. Key performance metrics include operational revenue, power schedule mismatch, missed revenues, capacity losses, and revenue generated per unit of capacity loss. Our ana…

Design and Optimization of EV Charging Infrastructure with Battery in Commercial Buildings
Quan Nguyen, Christine Holland, Siddharth Sridhar
https://arxiv.org/abs/2509.12160 htt…

Design and Optimization of EV Charging Infrastructure with Battery in Commercial Buildings
The installation of electric vehicle (EV) charging stations in buildings is inevitable, as states push for increased EV adoption to support decarbonization efforts. This transition could force the need for grid infrastructure upgrades and enhanced controls to support reliable power delivery to end-use loads, and overall economic operation. This paper evaluates strategies that address these needs on two fronts: i) optimal sizing of service transformers and battery energy storage systems (BESS), …

Price Aware Power Split Control in Heterogeneous Battery Storage Systems
Sheng Yin, Vivek Teja Tanjavooru, Thomas Hamacher, Christoph Goebel, Holger Hesse
https://arxiv.org/abs/2507.00628

Price Aware Power Split Control in Heterogeneous Battery Storage Systems
This paper presents a unified framework for the optimal scheduling of battery dispatch and internal power allocation in Battery energy storage systems (BESS). This novel approach integrates both market-based (price-aware) signals and physical system constraints to simultaneously optimize (1) external energy dispatch and (2) internal heterogeneity management of BESS, enhancing its operational economic value and performance. This work compares both model-based Linear Programming (LP) and model-fr…

Sequential Operation of Residential Energy Hubs
Dar\'io Slaifstein (Delft University of Technology), Gautham Ram Chandra Mouli (Delft University of Technology), Laura Ramirez-Elizondo (Delft University of Technology), Pavol Bauer (Delft University of Technology)
https://arxiv.org/abs/2507.20621…

Sequential Operation of Residential Energy Hubs
The operation of residential energy hubs with multiple energy carriers (electricity, heat, mobility) poses a significant challenge due to different carrier dynamics, hybrid storage coordination and high-dimensional action-spaces. Energy management systems oversee their operation, deciding the set points of the primary control layer. This paper presents a novel 2-stage economic model predictive controller for electrified buildings including physics-based models of the battery degradation and the…

Real-Time Energy Management Strategies for Community Microgrids
Moslem Uddin, Huadong Mo, Daoyi Dong
https://arxiv.org/abs/2506.22931 https://

Real-Time Energy Management Strategies for Community Microgrids
This study presents a real-time energy management framework for hybrid community microgrids integrating photovoltaic, wind, battery energy storage systems, diesel generators, and grid interconnection. The proposed approach formulates the dispatch problem as a multi-objective optimization task that aims to minimize operational costs. Two control strategies are proposed and evaluated: a conventional rule-based control (RBC) method and an advanced deep reinforcement learning (DRL) approach utilizi…

Multi-Objective Nonlinear Power Split Control For BESS With Real-Time Simulation Feedback
Vivek Teja Tanjavooru, Prashant Pant, Thomas Hamacher, Holger Hesse
https://arxiv.org/abs/2507.04800

Multi-Objective Nonlinear Power Split Control For BESS With Real-Time Simulation Feedback
This paper presents a mixed-integer, nonlinear, multi-objective optimization strategy for optimal power allocation among parallel strings in Battery Energy Storage Systems (BESS). High-fidelity control is achieved by co-simulating the optimizer with a BESS electro-thermal simulation that models spatial thermal dynamics of the battery, providing real-time State of Charge (SOC) and temperature feedback. The optimizer prioritizes reliability by enforcing power availability as a hard constraint and…

An Adaptive Estimation Approach based on Fisher Information to Overcome the Challenges of LFP Battery SOC Estimation
Junzhe Shi, Shida Jiang, Shengyu Tao, Jaewong Lee, Manashita Borah, Scott Moura
https://arxiv.org/abs/2507.01173

An Adaptive Estimation Approach based on Fisher Information to Overcome the Challenges of LFP Battery SOC Estimation
Robust and Real-time State of Charge (SOC) estimation is essential for Lithium Iron Phosphate (LFP) batteries, which are widely used in electric vehicles (EVs) and energy storage systems due to safety and longevity. However, the flat Open Circuit Voltage (OCV)-SOC curve makes this task particularly challenging. This challenge is complicated by hysteresis effects, and real-world conditions such as current bias, voltage quantization errors, and temperature that must be considered in the battery m…