Results 81 to 90 of about 53,735 (264)

Implementing Virtual Synchronous Generators for Renewable Integration

open access: yes, 2022
In older centralized power systems, power is often generated by massive synchronous generators (SGs), with the grid frequency defined by the prime mover's rotational frequency. The rotor inertia attribute prevents the frequency from shifting and keeps the system stable if the load changes quickly.
Djendo Djemble Severin   +3 more
openaire   +1 more source

Deep and Reinforcement Learning in Virtual Synchronous Generator: A Comprehensive Review

open access: yesEnergies
The virtual synchronous generator (VSG) is an important concept and primary control method in modern power systems. The penetration of power-electronics-based distributed generators in the power grid provides uncertainty and reduces the inertia of the ...
Xiaoke Ding, Junwei Cao
semanticscholar   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu   +10 more
wiley   +1 more source

Novel Virtual Synchronous Generation Control with Virtual Impedance

open access: yes
In recent years, the power industry has seen a significant uptick in renewable energy integration, including solar and wind farms, accompanied by energy storage systems. While this has increased overall generation capacity, it has also posed challenges to grid security and vulnerability.
Ambia, Mir Nahidul   +4 more
openaire   +2 more sources

Adaptive Control for Improved Virtual Synchronous Generator Under Imbalanced Grid Voltage

open access: yesIEEE Open Journal of the Industrial Electronics Society
As renewable energy continues to grow, more inverter-based distributed generators are being integrated into power grids, in which virtual synchronous generator (VSG) is widely adopted to regulate system voltage and stabilize frequency.
Yangyang Chen   +3 more
semanticscholar   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan   +3 more
wiley   +1 more source

Review of Virtual Inertia Based on Synchronous Generator Characteristic Emulation in Renewable Energy-Dominated Power Systems

open access: yesElectricity
The increasing integration of renewable energy sources is reshaping power systems from centralized, synchronous generator-based architectures to more inverter-dominated and decentralized architectures.
Fikri Waskito   +2 more
doaj   +1 more source

Matrix converter based virtual synchronous generation technology

open access: yesThe Journal of Engineering, 2018
Energy is an important driving force for social development. The shortage of natural resources urgently promotes the research of energy and the development of related technologies. Meanwhile, the distributed generation is one of the most important approaches.
Chuyun Li   +3 more
openaire   +2 more sources

Adaptive Control for Virtual Synchronous Generator Parameters Based on Soft Actor Critic

open access: yesItalian National Conference on Sensors
This paper introduces a model-free optimization method based on reinforcement learning (RL) aimed at resolving the issues of active power and frequency oscillations present in a traditional virtual synchronous generator (VSG).
Chuang Lu, Xiangtao Zhuan
semanticscholar   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

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