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Wavelet Analysis and Machine Learning Approach for Improved Protection of PV-Wind-SVC Integrated Smart Power System

Journal of The Institution of Engineers (India): Series B 2024年第5期105卷 1357-1372页

作者： Garika, Gantaiah Swamy Kottala, Padma Department of Electrical and Electronics Engineering Andhra Loyola Institute of Engineering and Technology Vijayawada520013 India Electrical Engineering Andhra University College of Engineering Visakhapatnam530003 India

In order to assure uninterrupted electrical power transmission throughout a nation’s network, it is necessary to integrate reactive power compensation devices and renewable energy sources in addition to other systematic maintenance procedures to maintain balance and regulate voltage changes. A responsive security system is essential to guard against disturbances caused by both balanced and unbalanced electrical problems. By employing wavelet and machine learning analysis to analyze transitory signals using mathematical and electrical concepts, this work sheds light on power network problems. The growing use of reactive power devices and renewable energy sources, however, comes with difficulties because of demand fluctuations, uncertainty around renewable supply, and grid complexity that is exacerbated by unidentified grid models. The study uses supervised and unsupervised machine learning methods to address these issues and advance power system analysis. By using a wavelet-based machine learning approach, the suggested algorithm has been tested for the detection and discrimination of fault behavior in PV-Wind integrated power system networks in the presence and absence of Static Var compensator. It has been shown that the algorithm is more effective than traditional techniques. © The Institution of Engineers (India) 2024.

关键词： Wavelet transforms

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An Improved Modulation Strategy for Single-phase Three-level Neutral-point-clamped Converter in Critical Conduction Mode

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 981-990页

作者： Ning Li Yujie Cao Xiaokang Liu Yan Zhang Ruotong Wang Lin Jiang Xiao-Ping Zhang School of Electrical Engineering Xi’an University of TechnologyXi’anChina the Department of Electronics Information and BioengineeringPolitecnico di MilanoMilanItaly Xi’an Jiaotong University Xi’anChina the Department of Electrical Engineering and Electronics University of LiverpoolLiverpoolU.K. the Department of Electronic Electrical and Systems EngineeringUniversity of BirminghamBirminghamU.K.

Two-level totem-pole power factor correction(PFC)converters in critical conduction mode(CRM)suffer from the wide regulation range of switching ***,in highfrequency applications,the number of switching times increases,resulting in significant switching *** solve these issues,this paper proposes an improved modulation strategy for the single-phase three-level neutral-point-clamped(NPC)converter in CRM with *** optimizing the discharging strategy and switching state sequence,the switching frequency and its variation range have been efficiently *** detailed performance analysis is also presented regarding the switching frequency,the average switching times,and the effect of voltage gain.A 2 k W prototype is built to verify the effectiveness of the proposed modulation strategy and analysis *** with the totem-pole PFC converter,the switching frequency regulation range of the three-level PFC converter is reduced by 36.48%and the average switching times is reduced by 45.10%.The experimental result also shows a 1.2%higher efficiency for the three-level PFC converter in the full load range.

关键词： Critical conduction mode(CRM) on-board charger switching frequency range switching times power factor correction(PFC) three-level converter

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Enhancing Electric Vehicle Performance Of electrical Motors And Control Methods Using Machine Learning Techniques

Journal of Applied Science and Engineering

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Journal of Applied Science and engineering 2025年第11期28卷 2239-2252页

作者： Mali, Prashant Shivajirao Susitra, D. Department of Electrical and Electronics Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai600119 India Department of Electrical Engineering Annasaheb Dange College of Engineering and Technology Ashta India

The growing adoption of electric vehicles (EVs) necessitates advancements in motor performance to overcome range limitations caused by the lower energy density of batteries compared to fossil fuels. This study aims to conduct a comparative analysis of electric motors for EV applications, focusing on Permanent Magnet Synchronous Motors (PMSMs). Techniques like Non-Destructive Testing (NDT) with magnetic flux density mapping and Direct Torque Control (DTC) were employed to enhance dynamic response. The study also explored model predictive control (MPC) to optimize efficiency and reduce energy losses. Results revealed that the "Speed Master Elite" motor achieved an outstanding 92% efficiency, showcasing its potential for superior power output. Future work includes developing smart charging infrastructure to optimize EV charging based on grid and energy availability, further enhancing EV performance and sustainability. © The Author(’s).

关键词： Model predictive control

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LMS Algorithm Computation for Designing Adaptive Filtering Technique to Enhance Power Quality of Integrated Power System with Non-linear Load

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Journal of The Institution of Engineers (India): Series B 2024年 1-12页

作者： Ehtesham, Md Ahmad, Mohmmad Kirmani, Sheeraz Department of Electrical and Electronics Engineering Maulana Azad National Urdu University Cuttack India Department of Electrical Engineering Rajkiya Engineering College Bijnor UP Bijnor India Department of Electrical Engineering Aligarh Muslim University Aligarh India

The growing penetration of renewable resources has led to the enlarged application of power electronic devices resulting in non-linearity in power systems. The situation further deteriorates when non-linear loads are connected at the distribution side. Thus, modern power systems have shown rising concern about the quality of power for integrated networks provoking new interest in filtering techniques. Consequently, to mitigate such power quality issues, this work proposes a design of an adaptive filtering scheme based on the Least Mean Square (LMS) algorithm and its application for a 3-phase grid-tied system. A novel approach based on active weight components has been utilized here to deduce the switching pulses of the converter. This significantly curtails the complexities of the filtering scheme and develops the capability of minimizing harmonic constituents. Another novel feature instilled in the proposed filtering scheme is that it is applicable even under the impact of power factor variations for both linear and non-linear loads resulting in enhanced reliability for the electrical network. Harmonics have been thoroughly analyzed for various sets and combinations of loads consisting of linear and non-linear types, connected at the point of common coupling (PCC). A comparative analysis is presented using Matlab/Simulink platform considering R–L as a linear load and an induction motor as a non-linear load. Rigorous examinations have been carried out by introducing large variations in operating parameters. Results for different parameters are summed up in a Table and corresponding graphs are also shown. © The Institution of Engineers (India) 2024.

关键词： Adaptive filtering

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Design and verification of FPGA-based prototype of VSG controller

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International Journal of Power and Energy Conversion 2024年第3期15卷 257-280页

作者： Kumar, Praveen Sairamkrishna, Vinendra Sen, Sachidananda Department of Electronics and Communication Engineering Purnea College of Engineering DSTTE Bihar Purnea854303 India Department of Electrical Engineering Indian Institute of Technology Uttarakhand Roorkee India Department of Electrical and Electronics Engineering SR University Telangana Warangal506371 India

Distributed generation leads to the loss of inertia that causes higher fluctuations in system dynamics and reduces frequency stability. This effect is very high in the case of microgrids (MGs). A virtual synchronous generator (VSG), which is the imitation of the synchronous generator, ascertained to be a reliable way to bring back the lost inertia. However, as phase-locked loop (PLL) is nonlinear, its use in measurement of frequency and rate of change of frequency can degrade the response time, and it can become worst with lower voltages. In this work, a VSG controller without using PLL is proposed and the controller does not depend on the magnitude of voltage. The Verilog hardware description language is used to develop the hardware prototype of the VSG controller. The hardware is developed on the FPGA board viz. SPARTAN-3E FPGA. The prototype is verified and validated by the hardware-in-loop (HIL) in a real-time environment using a real-time digital simulator. Its performance is tested under various disturbances in the MG and results are compared with MG without VSG and with simulated VSG. The results suggest that the hardware prototype of VSG is stabilising disturbances in the MG to a great extent by providing virtual inertia. © 2024 Inderscience Enterprises Ltd.

关键词： Field programmable gate arrays (FPGA)

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A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter

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Journal of Control and Decision 2025年第1期12卷 111-122页

作者： Sanjay Bhadra Atanu Panda Parijat Bhowmick Somasundar Kannan Department of Electrical Engineering University of Engineering and Management Kolkata(UEMK)New TownKolkataWest BengalIndia Department of Electrical Engineering Maulana Abul Kalam Azad University of TechnologyHaringhataNadiaWest BengalIndia Department of Electronics and Communication Engineering Institute of Engineering and Management(IEM)KolkataWest BengalIndia Department of Electronics and Electrical Engineering IIT GuwahatiGuwahatiAssamIndia Department of Electrical Engineering Robert Gordon UniversityAberdeenScotlandUK

This paper proposes a model-based reference tracking scheme for stable,MIMO,nonlinear processes.A Joint Unscented Kalman Filtering technique is exploited here to develop a stochastic model of the physical process via simultaneous estimation of the process states and the time-varying/uncertain *** the existing nonlinear model predictive controllers,the proposed scheme does not involve any dynamic optimisation process,which helps to reduce the overall complexity,computation overburden and execution ***,the proposed methodology offers robustness to process model-mismatch and considers the effects of stochastic disturbances.A nonlinear two-tank liquid-level control problem and a nonlinear coupled level-temperature control process are studied to demonstrate the usefulness of the proposed scheme.

关键词： Model-based control JUKF nonlinear MPC TITO coupled-tank process level-temperature control

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Suppression of over voltage in SiC-based inverter fed induction motor

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Australian Journal of electrical and electronics engineering 2024年第1期21卷 11-28页

作者： Salau, Ayodeji Olalekan Kanchana, Kadirvel Anoop, Kuttichakku Johny Markus, Elisha Didam Braide, Sepiribo Lucky Department of Electrical/Electronics and Computer Engineering Afe Babalola University Ado-Ekiti Nigeria Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India Department of Electrical Electronics Engineering Saveetha Engineering College Chennai India Department of Electrical and Electronics Engineering VISAT Engineering College Kerala Ernakulam India Department of Electrical/Electronic and Computer Engineering Central University of Technology Free State Bloemfontein South Africa Department of Electrical/Electronic Engineering University of Port Harcourt Rivers State Choba Nigeria

Silicon carbide (SiC) based inverters are widely used due to their fast switching and ability to withstand high temperatures and Voltage. This helps to increase efficiency and reduces switching losses compared to the silicon-based inverter. However, this fast-switching device causes an increase in the Voltage at the junction of the cable and motor due to the reflected wave. The main causes of overvoltage are cable/motor impedance mismatch, fast-switching inverter devices (IGBT), and inverter-motor separation. To extend the induction motor lifespan, overvoltage reduction is necessary. Passive and active filters solve the problem, but passive filters are bulky and have high power loss. This paper presents a shunt active filter approach for an inverter-fed induction motor to reduce overvoltage. To show the effectiveness of the proposed approach, the findings were compared to the topology of the clamp-type active filter already in use. The shunt active filter used Proportional Integral (PI) and fuzzy controllers to generate reference current according to the Synchronous Reference Frame (SRF) theory. Harmonics in the power system were removed using the SRF theory. The unique aspect of this work is how the reference current is produced in the shunt active filter using the SRF theory. The proposed shunt active filter with a fuzzy controller was added to the hardware implementation to achieve better results than previous active filters. ©, Engineers Australia.

关键词： Silicon carbide

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A new approach to learning and recognizing leaf diseases from individual lesions using convolutional neural networks

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Information Processing in Agriculture 2023年第1期10卷 11-27页

作者： Lawrence C.Ngugi Moataz Abdelwahab Mohammed Abo-Zahhad Department of Electronics and Communication Engineering Egypt-Japan University of Science and TechnologyAlexandriaEgypt Department of Electrical and Electronics Engineering Assiut UniversityAssiutEgypt

Leaf disease recognition using image processing and deep learning techniques is currently a vibrant research *** studies have focused on recognizing diseases from images of whole *** approach limits the resulting models’ability to estimate leaf disease severity or identify multiple anomalies occurring on the same *** studies have demonstrated that classifying leaf diseases based on individual lesions greatly enhances disease recognition *** those studies,however,the lesions were laboriously cropped by *** study proposes a semi-automatic algorithm that facilitates the fast and efficient preparation of datasets of individual lesions and leaf image pixel maps to overcome this *** datasets were then used to train and test lesion classifier and semantic segmentation Convolutional Neural Network(CNN)models,*** report that GoogLeNet’s disease recognition accuracy improved by more than 15%when diseases were recognized from lesion images compared to when disease recognition was done using images of whole leaves.A CNN model which performs semantic segmentation of both the leaf and lesions in one pass is also proposed in this *** proposed KijaniNet model achieved state-of-the-art segmentation performance in terms of mean Intersection over Union(mIoU)score of 0.8448 and 0.6257 for the leaf and lesion pixel classes,*** terms of mean boundary F1 score,the KijaniNet model attained 0.8241 and 0.7855 for the two pixel classes,***,a fully automatic algorithm for leaf disease recognition from individual lesions is *** algorithm employs the semantic segmentation network cascaded to a GoogLeNet classifier for lesion-wise disease *** proposed fully automatic algorithm outperforms competing methods in terms of its superior segmentation and classification performance despite being trained on a small dataset.

关键词： Deep learning Precision agriculture Leaf disease recognition Complex background removal Leaf image segmentation Lesion classification

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DESIGN AND IMPLEMENTATION OF A LED DRIVER CIRCUIT WITH DIMMING FUNCTION WITHOUT BURST MODE AT CONSTANT SWITCHING FREQUENCY

Light and Engineering

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Light and engineering 2023年第6期31卷 78-85页

作者： Borekci, Selim Acar, Nihal C. Ozdem, Suayip Kircay, Ali Electrical and Electronics Engineering Department Akdeniz University Antalya Turkey Electrical and Electronics Engineering Department Harran University Sanliurfa Turkey

This paper presents a dimmable LED driver with a topology of combination of series and parallel resonant converter. In dimming operation, a variable resonant inductor controlled by a PWM signal at a low frequency, while proving DC output current for LEDs. To dim LEDs, unlike the conventional approaches, switching frequency variation or conventional PWM technique is not used. The proposed technique is performed on a load that consists of 40 one-watt power LEDs connected in series. Switching frequency of circuit is kept constant at 60 kHz. According to experiments results, LEDs can be dimmed to a desired power level linearly within the range of nominal power to very low power without being in burst mode unlike of the conventional PWM technique. © 2023, LLC Editorial of Journal ""Light Technik"". All rights reserved.

关键词： Resonant circuits

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Optimization of position and rating of shunt and series connected FACTS devices for transmission congestion management in deregulated power networks

AIMS Electronics and Electrical Engineering

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AIMS electronics and electrical engineering 2024年第2期8卷 165-186页

作者： Alagapuri, Vengadesan Radhakrishnan, Ashok Bakkiyaraj Padaiyatchi, S. Sakthivel Department of Electrical Engineering Annamalai University Chidambaram India Sri Venkateshwaraa College of Engineering and Technology Puducherry India Department of Electrical and Electronics Engineering Nehru Institute of Engineering and Technology Coimbatore India

Transmission congestions are caused by electricity trading between generators and distribution companies in a deregulated environment. Power system operation and security in liberalized scenarios are maintained by removing branch overloads. A flexible alternating current transmission system (FACTS) controller is installed in a suitable location to redistribute the power flow among the transmission lines so that the power flows are brought within the capacity of the lines. In this work, series-connected thyristor-controlled switched compensators (TCSCs) and shunt-connected Volt-Ampere reactive (VAR) static compensators (SVCs) are installed in appropriate locations to alter the power flow patterns and to remove overloads. It is proposed to reduce the overload of transmission lines by locating series and shunt connected FACTS devices at proper locations. The size and location of TCSC and SVC devices greatly affect their ability to meet a congestion management goal. An optimization process optimizes the location and size of these devices to maximize the congestion mitigation benefits of the TCSC and SVC controllers. In this work, the whale optimization algorithm (WOA) is used to optimize the value of the objective function by appropriately choosing the location and size of the FACTS controllers. This algorithm has a few parameters that are tuned to give the best overall results. A WOA-based method is proposed to optimize the size and location of the FACTS devices and is implemented on the IEEE-30 bus test case. The results were compared and found to be improved with those of other algorithms such as the particle swarm optimization algorithm (PSO) and the firefly algorithm (FFA). © 2024 the Author(s).

关键词： Location

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