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Soft grid integration control strategy for self synchronized voltage source DFIG wind turbine generator.
Sci Rep
January 2025
School of Electrical Engineering, Nanjing Vocational University of Industry Technology, Nanjing, 210023, China.
Transitioning to a power system heavily reliant on renewable wind energy involves more than just replacing conventional fossil-fuel-based power plant with wind farms, the wind energy must be able to meet the requirement of voltage establishment and power balance. It is believed that the self synchronized voltage source control of DFIG wind turbine generator is one of the possible solutions to realize virtual inertia and is helpful to increase the frequency stability of power system, thus is meaningful in the transformation of the power system dominated by renewable energy. Plenty of research has been conducted on the self synchronized voltage source control strategy in steady state, but few research is focused on the soft grid integration, which is a complicated process involving wind turbine control and power converter control.
View Article and Find Full Text PDFEnhancing electric vehicle battery lifespan: integrating active balancing and machine learning for precise RUL estimation.
Sci Rep
January 2025
Electronics and Communication Engineering Dept. Faculty of Engineering, Horus University, New Damietta, Egypt.
Electric vehicles (EVs) rely heavily on lithium-ion battery packs as essential energy storage components. However, inconsistencies in cell characteristics and operating conditions can lead to imbalanced state of charge (SOC) levels, resulting in reduced capacity and accelerated degradation. This study presents an active cell balancing method optimized for both charging and discharging scenarios, aiming to equalize SOC across cells and improve overall pack performance.
View Article and Find Full Text PDFA new sensor-less voltage and frequency control of stand-alone DFIG based dead-beat direct-rotor flux control-experimental validation.
ISA Trans
December 2024
Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt. Electronic address:
The paper presents a new sensor-less voltage and frequency control method for a stand-alone doubly-fed induction generator (DFIG) feeding an isolated load. The proposed control approach directly regulates the magnitude and angle of the rotor-flux vector rather than controlling rotor currents or voltages as in classic field oriented control (FOC). To accurately regulate the magnitude and frequency of stator voltage, two separate closed-loop based PI regulators are employed to evaluate the reference signals of the rotor flux vector magnitude and angle, respectively.
View Article and Find Full Text PDFQuantification of L-lactic acid in human plasma samples using Ni-based electrodes and machine learning approach.
Talanta
December 2024
NanoBiosensors and Biodevices Lab, School of Medical Science and Technology, Indian Institute of Technology Kharagpur, West Bengal, 721302, India. Electronic address:
This work presents a robust strategy for quantifying overlapping electrochemical signatures originating from complex mixtures and real human plasma samples using nickel-based electrochemical sensors and machine learning (ML). This strategy enables the detection of a panel of analytes without being limited by the selectivity of the transducer material and leaving accommodation of interference analysis to ML models. Here, we fabricated a non-enzymatic electrochemical sensor for L-lactic acid detection in complex mixtures and human plasma samples using nickel oxide (NiO) nanoparticle-modified glassy carbon electrodes (GCE).
View Article and Find Full Text PDFTheory of morphodynamic information processing: Linking sensing to behaviour.
Vision Res
January 2025
Centre for Brain and Behaviour, School of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK.
The traditional understanding of brain function has predominantly focused on chemical and electrical processes. However, new research in fruit fly (Drosophila) binocular vision reveals ultrafast photomechanical photoreceptor movements significantly enhance information processing, thereby impacting a fly's perception of its environment and behaviour. The coding advantages resulting from these mechanical processes suggest that similar physical motion-based coding strategies may affect neural communication ubiquitously.
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