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Application of Multi Level Inverter Using MMC and FACTS in distributed Energy systems

Application of Multi Level Inverter Using MMC and FACTS in D...

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Emerging Technology (INCET), international conference for

作者： B. Prem Shashank T. Ananya S. Venkatesh N. Srinivas Vardhaman College of Engineering Shamshabad India

the paper proposes a new 1-ϕ Wind Energy Inverter which can be used for Wind Applications. the Proposed Inverter uses MMC topology so as to provide high efficiency, high power quality, and increased reliability. MMC topology has also other advantages such as low harmonic distortion, improved voltage balancing, and high voltage levels. the Wind Energy Inverter also has FACTS properties which regulates reactive and active power. the Inverter is installed in between wind turbines and the Power Grid. It converts incoming Direct Current from wind turbines to Alternating Current and maintains a target power factor, by regulating reactive power. Capacitor banks and external STATCOMS are no longer used, lowering the system’s total cost. the suggested inverter’s overall harmonic distortion is less than 5 percentage, which meets with ieee specifications.

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Enhancing Lifetime in Wireless sensor Networks through Image Processing-Based Clustering with Genetic Algorithm Routing

Enhancing Lifetime in Wireless Sensor Networks through Image...

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Soft computing for Security Applications (ICSCSA), international conference on

作者： M. Ilampari M. Amina Begum N Mahesh Babu S. Gopi M. Mythreyee Shanmugavel Deivasigamani Saveetha School of Law SIMATS Department of ECE Oxford College of Engineering Chennai India Department of Information Technology Anurag Engineering College Suryapet Kodad Telangana India Department of CSE Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Department of EEE Dr. MGR Educational and Research Institute Chennai Department of Artificial Intelligence and Data Science Jeppiaar Institute of Technology Chennai India

ISBN: (数字)9798331515720

ISBN: (纸本)9798331515737

Wireless sensor Networks (WSNs) are a very important technology widely used in diverse application domains of environmental monitoring, disaster management, health care, industrial automation etc. these are networks in which spatially distributed sensor nodes monitor physical or environmental conditions and communications data are processed through a base station. Here, we introduced a novel method for enhancing the efficiency and lifetime of WSNs by using the WSN to process images data and genetic programming (GA) to find the best route. A system model was developed to balance a network consisting of homogenous sensor nodes placed randomly in a particular geographical area, representing realistic scenarios. Each sensor node has limited energy resources, hence the operation of the network was partitioned into clustering phase and routing phase to optimal utilization of energy. To improve both the accuracy and efficiency of clustering, the genetic algorithm then identified the optimal path through these clusters using the best combination of pivot nodes for transmission. the proposed method applies image processing techniques to process sensor data, preprocesses sensor data, and then improves the classification process, clustering results, and the genetic algorithm obtains the more energy-efficient paths. Our extensive evaluation results prove substantial optimizations in network performance, energy efficiency and lifetime over known protocols. this method is expected to be effective in such applications as environmental monitoring, disaster management, and other applications that will utilize reliable and sustainable WSNs.

关键词： Wireless sensor networks Protocols Image processing Disaster management Routing Energy efficiency Environmental monitoring Security Reliability Genetic algorithms

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Vehicle Automatic Charging System Guided Electric by 3D Vision and F/T sensor 4

Vehicle Automatic Charging System Guided Electric by 3D Visi...

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4th international conference on Intelligent Autonomous systems, ICoIAS 2021

作者： Liu, Bin Lin, Yunhan Min, Huasong Wuhan University of Science and Technology Institute of Robotics and Intelligent Systems Wuhan China

ISBN: (纸本)9781665441957

In this paper, a new energy vehicle automatic charging system is built on the cooperative robot by using 3D vision and F/T sensor. In particular, aiming at the problem that the attitude error is not taken into account in the peg-in-hole problem of the existing system, this paper proposes a position and attitude adjustment method based on the classification of force and torque information, which divides the contact force and torque obtained by the F/T sensor into nine categories. According to different classification results, different compensation strategies are adopted to adjust the motion control, and finally the charging plug is inserted accurately and flexibly into the charging port. Finally, the random contact data classification experiment and the automatic charging actual insertion experiment are designed. the experimental results show that the accuracy of the classifier is 92.59%, and the success rate of insertion is 94%. With these two experiments, the feasibility of our system is verified from the aspects of precision rate, recall rate, F-Measure and actual insertion success rate of the classifier. © 2021 ieee.

关键词： Cameras

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An Improved Energy Management Strategy for a DC Microgrid including Electric Vehicle Fast Charging Stations 4

An Improved Energy Management Strategy for a DC Microgrid in...

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4th international conference on Smart Energy systems and Technologies (SEST)

作者： Alalwan, Siham Naser Hendi Mohammed, Amjad Muneim Tascikaraoglu, Akin Catalao, Joao P. S. Mugla Sitki Kocman Univ Elect & Elect Engn Dept Mugla Turkey Inst Syst & Comp Engn Technol & Sci INESC TEC Porto Portugal Univ Porto FEUP Fac Engn Porto Portugal

ISBN: (纸本)9781728176604

the number of electric vehicles (EVs) on the road is expected to continue to increase during the next decades due to various factors such as the rapid progress in EV technology and decreasing battery prices. the prolonged battery charging process, which is one of the main problems that affects the increased EV penetration, makes the fast charging units more attractive and efficient option for the charging stations. In this study, a control strategy for a DC microgrid including electric vehicle fast charging station (EVFCS) and distributed generation units is presented to examine the impacts of EVFCS on the grid as well as their potential contributions to the system operation in the case of considering the vehicle-to-grid (V2G) technology. It is especially aimed to mitigate the voltage sag and swell problems by using the EV battery as a DC source of a distribution static compensator (D-STATCOM) device. Simulation studies in MATLAB Simulink/SimPower systems show that considerable improvements can be achieved from the perspective of distribution system operation such as improved voltage quality and from the perspective of end users such as decreased charging durations.

关键词： Electric vehicles fast charging stations microgrid distributed generation V2G

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Employing Generative Adversarial Networks for Secure and Reliable Synthetic Data Generation in Cyber Security Applications

Employing Generative Adversarial Networks for Secure and Rel...

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distributed computing and Electrical Circuits and Electronics (ICDCECE), ieee international conference on

作者： Vidhyadar Unni Krishnan Raghu Dhumpati Vimuktha E Salis Madhu B K Kruti Sutaria Girish Abhyankar Visa Commercial Solutions Division Visa Inc Foster City USA Department of Computer Science & Engineering Bahrain Polytechnic Bahrain City Bahrain Department of Information Science and Engineering Global Academy of Technology Bengaluru India Department of Computer Science and Engineering Vidya Vikas Institute of Engineering and Technology Mysore India Department of Computer Science and Engineering Faculty of Engineering and Technology Parul Institute of Engineering and Technology Parul University Vadodara India Faculty of Law Symbiosis Law School Symbiosis International Deemed University Pune India

ISBN: (数字)9798331533663

ISBN: (纸本)9798331533670

GANs emerged as a solution for synthetic data generation because cybersecurity training data requirements have expanded while privacy issues and scarcity stand as barriers to data availability. the research project developed its own GAN model to generate synthetic network traffic patterns together with malware signatures and attack vectors. the trained model operated on a data collection of 100,000 actual cybersecurity incidents through the implementation of adversary training with advanced discriminator feedback mechanisms. the GAN achieved outstanding results which included 97.2% accurate replication of legitimate network traffic patterns and 94.8% precision in creating malware signature patterns as well as 96.3% effectiveness in producing new attack vectors. the statistical analysis proved that synthetic data maintained the identical statistical characteristics of the original dataset at 95% confidence level. the proposed GAN framework establishes itself as an effective means for creating top-quality synthetic cybersecurity data which addresses privacy issues and limited data quantities that affect security research and training.

关键词： Training Data privacy Transfer learning Training data Telecommunication traffic Generative adversarial networks Vectors Malware Computer security Synthetic data

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Robust Stability and Sensitivity Analysis of Optimized Fuzzy Integral-Derivative Controllers in Multi-Area Hybrid Power systems

Robust Stability and Sensitivity Analysis of Optimized Fuzzy...

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Sustainable Energy and Future Electric Transportation (SEFET), international conference on

作者： Nisha Kumari Pulakraj Aryan G. Lloyds Raja Utkal Ranjan Muduli Dept. of Electrical Engg. IIT (ISM) Dhanbad Dhanbad India Center for Sustainable Energy IIT Roorkee Roorkee India Dept. of Electrical Engg. NIT Patna Patna India APEC EE Dept. Khalifa University Abu Dhabi UAE

ISBN: (数字)9798350383997

ISBN: (纸本)9798350384000

this study introduces a new type-two fuzzy-aided integral-derivative looped with a proportional-derivative FAI D - (P D) l controller for achieving secondary frequency regulation of a diverse triple-area hybrid power system (PS). the African vultures optimisation algorithm (AVOA) optimizes the controller gains. Area-l encompasses thermal power stations along with distributed generation sources, which include wind turbines and solar photovoltaics. Area-2 is equipped with a combination of thermal and gas energy sources, while area-3 is connected to a combination of thermal and nuclear energy sources. thermal systems also take into account practical limitations making the system nonlinear. In addition, a thorough robust stability assessment of the investigated system is conducted. Finally, the proposed method is compared with some contemporary schemes to vindicate its efficacy.

关键词： Photovoltaic systems Robust stability Sensitivity analysis Transportation Power system stability Hybrid power systems distributed power generation Wind turbines Optimization Frequency control

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Analysis of Big Data Research Hotspots Based on Keyword Co-occurrence

Analysis of Big Data Research Hotspots Based on Keyword Co-o...

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ieee international conference on Data Science in Cyberspace (DSC)

作者： Niuniu Zhang Guohe Feng National Key Laboratory of Information Systems Engineering National University of Defense Technology Changsha China College of Economics And Management South China Normal University Guangzhou China

ISBN: (数字)9798350391367

ISBN: (纸本)9798350391374

In the era of mobile Internet and cloud computing, the rise of big data has profoundly impacted diverse industries and sectors, drawing significant scholarly attention. the objective of this paper is to delineate an overview of the international research landscape of big data, identifying key research hotspots and emerging trends. To gain a comprehensive overview of the current state of research in the field of big data, we employed a range of analytical techniques, including co-word analysis, clustering analysis, social network analysis, and dynamic strategy coordinate mapping. Our review encompassed articles published between 2017 and 2019, spanning a three-year period. the data were sourced from the SCI, SSCI, SPCI, and CPCI-SSH databases. the literature was subjected to a sysytematic analysis using Bibexcel, SPSS, and Gephi software, with the objective of uncovering distinct patterns and trends. the findings reveal 11 thematic clusters within international big data research. these are text mining, data fusion, distributed computing, Industry 4.0, data privacy, business intelligence, precision medicine, bioinformatics, and data mining techniques such as classification and clustering. It is noteworthy that Industry 4.0, data privacy, and text mining emerged as significant research hotspots. Furthermore, the fields of artificial intelligence, natural language processing, smart grids, energy big data, and wireless sensor networks are regarded as emerging areas of interest. It is anticipated that the convergence of bioinformatics and other pivotal areas of big data research, will serve as the impetus for future research hotspots, necessitating sustained scholarly investigation and discourse.

关键词： Text mining Data privacy Wireless sensor networks Social networking (online) Big Data Market research Software Fourth Industrial Revolution Smart grids Bioinformatics

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Optimal Placement of Renewable Energy Sources distributed Generation in an Unbalanced Network for Modern Grid Operations 4

Optimal Placement of Renewable Energy Sources Distributed Ge...

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4th international conference on Smart Energy systems and Technologies (SEST)

作者： Oladeji, Ifedayo Zamora, Ramon Lie, Tek Tjing Auckland Univ Technol Elect & Elect Engn Dept Auckland 1010 New Zealand

ISBN: (纸本)9781728176604

Optimal placement of distributed generation (DG) is important in modern distribution network planning. Most DG placement models in the literature are based on normal state power loss and voltage profile enhancement rather than probabilistic security indices. In this paper, a decision tree (DT) classification approach for multiple renewable energy source DGs (RES-DGs) placement in an unbalanced distribution network using probabilistic security indices is proposed. the indices considered in this research are the feeders' risk index (RI) and power loss (PL). the optimal feeders for RES-DG placement are determined through the feeders' RI and PL while the optimal nodes are determined using the nodal hosting capacity (HC) and the critical voltage (V-cr) indices. the proposed technique was tested on a modified ieee 33-node radial distribution network. After the optimal placement of the RES-DGs, the worst case of the average probabilistic voltage, steady-state power loss, and risk index obtained for the base case is improved from 0.93 pu, 144 kW, and 5.17 to 0.96 pu, 22 kW and 0.042, respectively. the results show that the proposed technique is effective to allocate multiple RES-DG for long-term distribution network planning and expansion, to increase the RES-DG penetration while minimizing the voltage risk.

关键词： Network planning Modern grid Renewable resources Security

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sensor-Less Duty Modulated Predictive Current Control of PMSM Drives

Sensor-Less Duty Modulated Predictive Current Control of PMS...

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Sustainable Energy and Future Electric Transportation (SEFET), international conference on

作者： Kasoju Bharath Kumar Kunisetti V. Praveen Kumar Department of Electrical Engineering SVNIT Surat India

ISBN: (数字)9798350383997

ISBN: (纸本)9798350384000

this paper proposes an approach to sensor-less predictive current control (PCC) for Permanent Magnet Synchronous Motors (PMSM) utilizing duty modulation techniques. Traditional predictive control methods often rely on additional hardware for speed sensing, leading to increased costs and computational burden. the traditional methods also produced high torque and flux ripples that led to reduced efficiency of the drive. In contrast, the proposed sensor-less model reference adaptive system (MRAS) control leverages the inherent properties of the PMSM drive system, reducing the dependency on external sensors while maintaining high accuracy and efficiency. Furthermore, utilizing duty cycle calculations, the active voltage vector is only picked for a limited time, reducing torque and flux ripples. the new method is compared to the conventional way using MATLAB/SIMULINK results to demonstrate its efficacy. the proposed method is validated using various drive cycles ensure its suitability for use in electric vehicles.

关键词： Current control Torque Computational modeling Modulation Permanent magnet motors Vectors sensor systems Mathematical models sensors Predictive control

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Analysis of Different Architectures for RSSI Based Indoor Localization using Trilateration Technique

Analysis of Different Architectures for RSSI Based Indoor Lo...

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Sciences and Techniques of Automatic Control and Computer Engineering MI-STA, ieee international Maghreb Meeting of the conference on

作者： Rihab Souissi Ilef Ktata Salwa Sahnoun Ahmad Fakhfakh Faouzi Derbel Laboratory of Signals Systems Artificial Intelligence and Networks (SM@RTS) Digital Research Center of Sfax (CRNS) Sfax University Tunisia Smart Diagnostic and Online Monitoring Leipzig University of Applied Sciences Leipzig Germany

ISBN: (数字)9798350372632

ISBN: (纸本)9798350372649

the common lateration method estimates the position of an unknown target by using the positions of reference nodes and the RSSI values that reflect the distances between the target and the reference nodes. However, the variability of RSSI signals in the physical environment, influenced by factors such as time-varying conditions and multipath effects, is a significant contributor to localization errors. these inaccuracies can adversely affect system decisions. In challenging environments, Wireless sensor Networks (WSNs) operate, making maintenance and battery replacement difficult tasks. Optimizing node deployment techniques becomes critical to strategically position nodes for optimal coverage, improve accuracy, and conserve network activity to extend its lifetime. this paper presents a comparative analysis of three architectures to evaluate the accuracy and longevity of wake-up receiver sensor node deployment. Specifically, the application focuses on indoor localization of anchors using trilateration and RSSI measurements in the context of rectangular grid structures with two types of map segmentation and hexagonal grid architecture.

关键词： Location awareness Wireless sensor networks Accuracy conferences Computer architecture Receivers Maintenance

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