Results 121 to 130 of about 1,752,354 (327)

Grid Forming Inverters for Electric Vehicle Charging Stations to Enhance Distribution Grid Resilience

open access: yesIEEE Access
The increasing integration of renewable energy sources and electric vehicles is reshaping distribution networks, calling for advanced control strategies to maintain power system quality, stability and resilience, intended to capacity to maintain ...
Stefano Barsali   +6 more
doaj   +1 more source

Universal Dual-Port Grid-Forming Control: Bridging the Gap Between Grid-Forming and Grid-Following Control

open access: yesIEEE Transactions on Power Systems
We analyze a dual-port grid-forming (GFM) control for power systems containing ac and dc transmission, converter-interfaced generation and energy storage, and legacy generation. To operate such a system and provide standard services, state-of-the-art control architectures i) require assigning grid-following (GFL) and GFM controls to different ...
Irina Subotić, Dominic Groß
openaire   +2 more sources

Ion‐Selective Microporous Membranes via One‐Step Copolymerization Enable High‐Performance Redox Flow Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A scalable one‐step copolymerization strategy is developed to produce low‐cost microporous ion exchange membranes that boost both the efficiency and lifespan of flow batteries. When combined with organic electrolytes in aqueous systems, these membranes enable safe and cheap flow battery energy storage, supporting the widespread integration of renewable
Jiaye Liu   +7 more
wiley   +1 more source

Comparative Analysis of Grid-Following (GFL) and Grid-Forming (GFM) Inverters: Control and Transition Capabilities

open access: yesElectrical Engineering and Energy
In recent years, interest in integration of renewable energy (RE) sources (particularly Wind Energy Systems - WES) into the electrical grid for sustainable, innovative solutions and a greener future continues to grow exponentially.
Fatih Burak, Hulusi Karaca
doaj   +1 more source

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

open access: yesAdvanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon   +8 more
wiley   +1 more source

Reviewing Control Paradigms and Emerging Trends of Grid-Forming Inverters—A Comparative Study

open access: yesEnergies
Grid-forming inverters (GFMs) have emerged as crucial components in modern power systems, facilitating the integration of renewable energy sources and enhancing grid stability. The significance of GFMs lies in their ability to autonomously establish grid
Khaliqur Rahman   +6 more
doaj   +1 more source

Data privacy by design: digital infrastructures for clinical collaborations

open access: yes, 2009
The clinical sciences have arguably the most stringent security demands on the adoption and roll-out of collaborative e-Infrastructure solutions such as those based upon Grid-based middleware.
Ajayi, O., Sinnott, R.O., Stell, A.J.
core  

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

Grid following converters stability study and control enhancements using an improved test setup [PDF]

open access: gold, 2023
Yahya Lamrani   +6 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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