Application of physics-informed neural networks in fault diagnosis and fault-tolerant control design for electric vehicles: A review

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 116728 - 116728

Published: Jan. 1, 2025

Language: Английский

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Multi-Agent-Based Controller for Microgrids: An Overview and Case Study

Energies, Journal Year: 2023, Volume and Issue: 16(5), P. 2445 - 2445

Published: March 3, 2023

A microgrid can be defined as a grid of interconnected distributed energy resources, loads and storage systems. In systems containing renewable the coordinated operation generation units is important to ensure stability microgrid. needs successful control scheme achieve its design goals. Undesirable situations such distorted voltage profile frequency fluctuations are significantly reduced by installing appropriate hardware systems, strategies. The multi-agent system one approaches used microgrids. application in electric power becoming popular because their inherent benefits autonomy, responsiveness, social ability. This study provides an overview agent concept well reviews recent research studies on systems’ addition, multi-agent-based controller management proposed for DC study. designed composed photovoltaic consisting 30 series-connected PV modules, wind turbine, synchronous generator, battery-based system, critical non-critical loads, system. controlled controller. has agent, battery load agent. roles each communication among agents properly goals, which basically bus quality stability. tested two different scenarios, performance been verified with MATLAB/Simulink simulations. simulation results show that constant any condition. Additionally, ensured variable conditions.

Language: Английский

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An overview of methods for detecting and locating incipient faults in underground cables

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 245, P. 111631 - 111631

Published: April 2, 2025

Language: Английский

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Fault Location and Cyber-Attack Detection in Smart Power Systems with Wind Generators Using a Multi-agent System Approach

Sustainable civil infrastructures, Journal Year: 2025, Volume and Issue: unknown, P. 324 - 333

Published: Jan. 1, 2025

Language: Английский

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Design of an intelligent decision model for power grid fault location and isolation based on topology analysis

International Journal of Thermofluids, Journal Year: 2023, Volume and Issue: 21, P. 100536 - 100536

Published: Dec. 5, 2023

Detecting and isolating power grid faults quickly efficiently ensures a constant flow. The lack of speed accuracy in conventional approaches to fault management highlights the importance creating smart decision model. suggested approach uses topology analysis better localize isolate faults, reducing downtime boosting performance. Real-time detection, precise location identification, choosing best isolation schemes are all difficulties management. Furthermore, significant issues need innovative solutions, such as managing grid's complexity, responding changing load conditions guaranteeing cyber security. present research unveils new combining Intelligent Decision Model integrated with Supervisory Control Data Acquisition system (SC-DAS). Here, decision-making, control, monitoring made possible by SC-DAS system, which mediates between intelligent model physical grid. In SC-DAS, Phasor Measurement Units (PMUs) used for real-time electrical properties, collected using SCADA (Supervisory Acquisition) systems. Further, decision-making models instantaneous modifications remedial measures functioning. reliability Topological DAS localization, isolation. represents revolutionary that could significantly improve reliability, reduce interruption frequency, boost overall performance microgrids renewable energy sources. layouts, circumstances, scenarios simulations help strategies controlled environment.

Language: Английский

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Active Distribution Network Fault Diagnosis Based on Improved Northern Goshawk Search Algorithm

Electronics, Journal Year: 2024, Volume and Issue: 13(7), P. 1202 - 1202

Published: March 25, 2024

Timely and accurate fault location in active distribution networks is of vital importance to ensure the reliability power grid operation. However, existing intelligent algorithms applied possess slow convergence speed low accuracy, hindering construction new systems. In this paper, a regional localization method based on an improved northern goshawk search algorithm proposed. The population quality samples was by using chaotic initialization strategy. Meanwhile, positive cosine strategy adaptive Gaussian–Cauchy hybrid variational perturbation were introduced algorithm, which adopted operation interfere with individuals increase diversity population, contributing jumping out local optimum strengthen ability escape. Finally, simulation verification carried multi-branch network containing distributed sources. Compared traditional models, proposed possesses faster higher accuracy under different locations distortion points.

Language: Английский

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AI-driven Drug Discovery in Bioinformatics: Accelerating Pharmaceutical Research

Published: Aug. 8, 2023

AI-driven Drug Discovery in Bioinformatics: AcceleratingPharmaceutical Research

Language: Английский

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Edge Computing: Extending the Cloud to the Edge of the Network

Published: Aug. 3, 2023

Edge Computing: Extending the Cloud to of Network

Language: Английский

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Machine Learning for Medical Diagnostics: A Review in Bioinformatics

Published: Aug. 8, 2023

Machine Learning for Medical Diagnostics: A Review inBioinformatics

Language: Английский

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Deep Learning-based Image Denoising Techniques: A Survey and Comparative Study

Published: Aug. 8, 2023

Deep Learning-based Image Denoising Techniques: A Survey andComparative Study

Language: Английский

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