The extraction of maximum power from the solar panels,using the sliding mode control scheme,becomes popular for partial weather atmospheric conditions due to its effective dynamic duty cycle ***,the sliding mode contr...
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The extraction of maximum power from the solar panels,using the sliding mode control scheme,becomes popular for partial weather atmospheric conditions due to its effective dynamic duty cycle ***,the sliding mode control scheme was sophisticated with single integral and double integral sliding mode control scheme,which offer enhanced maximum power extraction and support enhanced solar panel efficiency in partial weather *** operation of the sliding mode control scheme depends on the selection of a sliding surface selection based on the atmospheric weather condition,which enables the effective sliding duty cycle ratio operation for the DC/DC boost *** duty cycle ratio of the sliding mode control resembles the usual dynamic behavior to achieve enhanced efficiency compared to the various maximum power point tracking(MPPT)*** major limitation of the sliding mode control scheme is to achieve the steady state voltage error of the solar panel in minimum settling time *** single integral sliding mode control scheme achieves the expected steady state voltage error limit but fails to achieve minimum settling time ***,the single integral sliding mode control is extended to a double integral sliding mode control scheme to achieve both steady state voltage error limits within the minimum settling time *** double integral sliding mode control scheme allows us to obtain the higher sliding surface duty cycle ratio which acts as the input signal to the boost *** activates the enhanced stable and reliable system operation,and nullifies the lacuna of maximum solar panel efficiency under partial weather ***,this paper aims to present the design and performance operation of the double integral sliding mode(DISM)MPPT control *** validate the performance analysis of the proposed DISM MPPT control scheme,the MATLAB/Simulink model is designed and ***,the performance analysis of the pr
Unbalanced loads and high neutral currents on low voltage networks which frequently use three-phase, four wire systems with no larger conductors must need to be addressed. To overcome the loads and currents in low-vol...
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In the critical field of electrical grid maintenance,ensuring the integrity of power line insulators is a primary *** study introduces an innovative approach for monitoring the condition of insulators using aerial sur...
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In the critical field of electrical grid maintenance,ensuring the integrity of power line insulators is a primary *** study introduces an innovative approach for monitoring the condition of insulators using aerial surveillance via drone-mounted *** proposed method is a composite deep learning framework that integrates the“You Only Look Once”version 3(YOLO3)model with deep convolutional generative adversarial networks(DCGAN)and super-resolution generative adversarial networks(SRGAN).The YOLO3 model excels in rapidly and accurately detecting insulators,a vital step in assessing their *** effectiveness in distinguishing insulators against complex backgrounds enables prompt detection of defects,essential for proactive *** rapid detection is enhanced by DCGAN’s precise classification and SRGAN’s image quality improvement,addressing challenges posed by low-resolution drone *** framework’s performance was evaluated using metrics such as sensitivity,specificity,accuracy,localization accuracy,damage sensitivity,and false alarm *** show that the SRGAN+DCGAN+YOLO3 model significantly outperforms existing methods,with a sensitivity of 98%,specificity of 94%,an overall accuracy of 95.6%,localization accuracy of 90%,damage sensitivity of 92%,and a reduced false alarm rate of 8%.This advanced hybrid approach not only improves the detection and classification of insulator conditions but also contributes substantially to the maintenance and health of power line insulators,thus ensuring the reliability of the electrical power grid.
In this research,an Artificial Bee Colony(ABC)algorithm based Selective Harmonics Elimination(SHE)technique is used as a pulse generator in a reduced switch fifteen level inverter that receives input from a PV *** wid...
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In this research,an Artificial Bee Colony(ABC)algorithm based Selective Harmonics Elimination(SHE)technique is used as a pulse generator in a reduced switch fifteen level inverter that receives input from a PV *** width modulation based on Selective Harmonics Elimination is mostly used to suppress lower-order harmonics.A high gain DC-DC-SEPIC converter keeps the photovoltaic(PV)panel’s output voltage *** Grey Wolf Optimization(GWO)filter removes far more Photovoltaic panel energy from the sunlight *** eliminate voltage harmonics,this unique inverter architecture employs a multi-carrier duty cycle,a high-frequency modulation *** proposed ABC harmonics elimination approach is compared to SHE strategies based on Particle Swarm Optimization(PSO)and Flower Pollination Algorithm(FPA).The suggested system’s performance is simulated and measured using the MATLAB simulation *** proposed ABC approach has a THD level of 4.86%,which is better than the PSO and FPA methods.
Hybrid combiner and precoder architectures, radio frequency (RF) chain, analog phase shifters, digital-to-analog converter (DAC), and analog-to-digital converter (ADC) are components of a millimeter wave cellular syst...
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Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities. Howeve...
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Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities. However, the traditional ISAC schemes are highly dependent on the accurate mathematical model and suffer from the challenges of high complexity and poor performance in practical scenarios. Recently, artificial intelligence (AI) has emerged as a viable technique to address these issues due to its powerful learning capabilities, satisfactory generalization capability, fast inference speed, and high adaptability for dynamic environments, facilitating a system design shift from model-driven to data-driven. Intelligent ISAC, which integrates AI into ISAC, has been a hot topic that has attracted many researchers to investigate. In this paper, we provide a comprehensive overview of intelligent ISAC, including its motivation, typical applications, recent trends, and challenges. In particular, we first introduce the basic principle of ISAC, followed by its key techniques. Then, an overview of AI and a comparison between model-based and AI-based methods for ISAC are provided. Furthermore, the typical applications of AI in ISAC and the recent trends for AI-enabled ISAC are reviewed. Finally, the future research issues and challenges of intelligent ISAC are discussed.
This article used an improved version of the Flow Direction Algorithm (FDA) with acceleration coefficients named Modified Flow Direction Algorithm (MFDA) for simultaneous Optimal Network Reconfiguration (ONR) and Opti...
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The position of the distribution network and its peculiar topology calls for viable means of addressing the issue of severe power loss and voltage instability confronting its ability to truly wheel out the received en...
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The epitome need of tracing energy demand patterns for higher educational institutions (HEI) is to infer the sustainable functioning of an institute and to make consumers aware of the consumption range for incorporati...
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This article presents a compact, low-profile, dual-band shielded half-mode substrate integrated waveguide (SD-HMSIW) based self-diplexed multiple-input multiple-output (MIMO) antenna (SDMA) designed for wireless local...
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