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Network synchronizability enhancement viaadding antagonistic interactions

Autonomous Intelligent systems 2024年第1期4卷 1-7页

作者： Yue Song Xiaoqin Liu Dingmei Wang Pengfei Gao Mengqi Xue Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai201210China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai201210China Department of Control Science and Engineering Tongji UniversityShanghai201210China National Key Laboratory of Autonomous Intelligent Unmanned Systems Tongji UniversityShanghai201210China Lanzhou Longneng Electric Power Technology Company Lanzhou730070China

We discover a“less-is-more”effect that adding local antagonistic interactions(negative edge weights)can enhance the overall synchronizability of a dynamical network *** explain this seemingly counterintuitive phenomenon,a condition is established to identify those edges the weight reduction of which improves the synchronizability index of the underlying *** further reveal that this condition can be interpreted from the perspective of resistance distance and network community *** obtained result is also verified via numerical experiments on a 14-node network and a 118-node *** brings new thoughts and inspirations to the future directions of optimal network design problems.

关键词： Synchronizability Complex network Laplacian matrix Antagonistic interaction

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Quasi-Newtonian Method for Analyzing the Modes of Operation of Transformers 16

Quasi-Newtonian Method for Analyzing the Modes of Operation ...

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16th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer engineering, TCSET 2022

作者： Bilyy, Leonid Krokhmalnyi, Bohdan Segeda, Mykhailo Khmelnytskyy National University Department of Machines and Devices Electromechanical and Power Systems Khmelnytskyy Ukraine Lviv Politechnic National University Department of Electromechatronics and Computerized Electromechanical Systems Lviv Ukraine Lviv Politechnic National University Department of Power Engineering and Control Systems Lviv Ukraine

ISBN: (纸本)9781665468619

The publication is devoted to methods of analysis of modes of operation of electrical devices. Based on the unity of all physical processes of such devices, the principle of using a single mathematical apparatus to study their electromagnetic processes. The task of analysis of any electromagnetic device consists of four interrelated stages: calculation of transients and steady-state processes, determination of static stability and analysis of parametric sensitivity. Only the first of them is solved in the time domain, the rest - in the timeless. © 2022 IEEE.

关键词： Time domain analysis

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Data-Driven EMPC with design of Terminal Ingredients

Data-Driven EMPC with Design of Terminal Ingredients

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International Conference on control, Instrumentation, and Automation

作者： Fatemeh Ostovar Ali Akbar Safavi Leonhard Urbas Department of Power & Control Engineering Shiraz University Shiraz Iran Department of Process Control Systems Technische Universität Dresden Dresden Germany

ISBN: (数字)9798331509972

ISBN: (纸本)9798331509989

This paper introduces a novel data-driven economic model predictive control (EMPC) framework for linear time-invariant (LTI) systems, using Willems’ Fundamental Lemma to describe system behavior with persistently exciting data. Our method incorporates terminal ingredients, including a terminal cost and terminal constraint, to ensure recursive feasibility and asymptotic stability. We detail the design procedure for these terminal ingredients within the data-driven EMPC context. The paper concludes by confirming the strong duality property, feasibility and stability of the economically optimal equilibrium in the closed-loop system. The proposed EMPC framework is validated through its application to an isothermal stirred-tank reactor (CSTR), demonstrating its effectiveness.

关键词： Linear systems Asymptotic stability Costs Instruments Chemical reactions Stability analysis Nonlinear systems Isothermal processes Optimization Predictive control

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Fault Detection and Identification Using Deep Learning Algorithms in Induction Motors

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Computer Modeling in engineering & Sciences 2022年第11期133卷 435-470页

作者： Majid Hussain Tayab Din Memon Imtiaz Hussain Zubair Ahmed Memon Dileep Kumar Department of Electronic Engineering Quaid-e-Awam University of Engineering Science and TechnologyNawabshah67480Pakistan NCRA Condition Monitoring Systems Lab Mehran University of Engineering and TechnologyJamshoro76062Pakistan Department of Electronic Engineering Mehran University of Engineering and TechnologyJamshoro76062Pakistan Design and Creative Technology Torrens University AustraliaMelbourneAustralia Department of Electronics and Power Engineering Pakistan Navy Engineering College NUSTKarachi75350Pakistan

Owing to the 4.0 industrial revolution condition monitoring maintenance is widely accepted as a useful approach to avoiding plant disturbances and ***,Motor Current Signature Analysis(MCSA)is widely reported as a condition monitoring technique in the detection and identification of individual andmultiple Induction Motor(IM)***,checking the fault detection and classification with deep learning models and its comparison among them selves or conventional approaches is rarely reported in the ***,in this work,wepresent the detection and identification of induction motor faults with MCSA and three Deep Learning(DL)models namely MLP,LSTM,and ***,we have developed the model of Squirrel Cage induction motor in MATLAB and simulated it for single phasing and stator winding faults(SWF)using Fast Fourier Transform(FFT),Short Time Fourier Transform(STFT),and Continuous Wavelet Transform(CWT)to detect and identify the healthy and unhealthy conditions with phase to ground,single phasing and in multiple fault conditions using Motor Current Signature *** faults impact on stator current is presented in the time and frequency domain(i.e.,power spectrum).The simulation results show that the scalogram has shown good results in time-frequency analysis for fault and showing its impact on the energy of current during individual fault and multiple fault *** is further investigated with three deep learning models(i.e.,MLP,LSTM,and 1D-CNN)for checking the fault detection and identification(i.e.,classification)improvement in a three-phase induction *** simulating the three-phase induction motor in various healthy and unhealthy conditions in MATLAB,we have collected current signature data in the time domain,labeled them accordingly and created the 50 thousand samples dataset for DL *** the DL models are trained and validated with a suitable number of architecture *** simulation,the multiclass confusion

关键词： Condition monitoring motor fault diagnosis stator winding faults deep learning signal processing

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An Interacting Multiple Model Approach Based on Maximum Correntropy Student's T Filter

An Interacting Multiple Model Approach Based on Maximum Corr...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Fethi Candan Aykut Beke Lyudmila Mihaylova Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom Department of Control Systems Design ASELSAN Ankara Turkiye

This paper presents a novel approach called the Interacting Multiple Model (IMM)-based Maximum Correntropy Student's T Filter (MCStF), which addresses the challenges posed by non-Gaussian measurement noises. The MCStF demonstrates superior performance compared to the IMM algorithm based on Kalman Filters (KFs) in both simulation environments and real-time systems. The Crazyflie 2.0 nano Unmanned Air Vehicle (UAV) model is used in the simulation validation, and results from 3000 independent Monte Carlo runs are shown. After getting the simulation results under monotonously changed non-Gaussian distribution, their performance results have been compared to each other. The same scenario has been applied in the real-time system using Crazyflie 2.0. Next, results from real-time tests are presented in which the position of Crazyflie 2.0 is estimated online.

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Selection of the Composition of the Included Generating Equipment Considering the Reliability Factor 6

Selection of the Composition of the Included Generating Equi...

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6th International Scientific Conference on Information, control, and Communication Technologies, ICCT 2022

作者： Andryushin, Alexander V. Neklyudov, Alexey V. Arakelyan, Edik K. Yagupova, Julia Y. Pashchenko, Fedor F. Dolbikova, Nina S. National Research University 'Moscow Power Engineering Institute' Department of Automated Control Systems for Thermal Processes Moscow Russia Laboratory of Intelligent Control and Simulation Systems V.A. Trapeznikov Institute of Control Sciences of Ras Moscow Russia

ISBN: (数字)9781665493673

ISBN: (纸本)9781665493673

At present, ensuring reliability is an integral part of maintaining the high efficiency of operation of electric power equipment. The reliability factor can be considered and considered at different stages of solving the problem of optimizing the operation of equipment for thermal power plants, this article will consider the stage of applying for choosing the composition of the main generating equipment, considering reliability. The method for choosing the composition of the main generating equipment, considering the reliability criterion, is described. A technique for calculating the reliability characteristics of equipment and taking them into account when a power plant enters the market is presented. The optimal distribution of the load and the choice of the composition of the equipment, considering the criterion of reliability, are analyzed using the example of different loads of power units. © 2022 IEEE.

关键词： Reliability

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Peak Forecasting for Electricity Loads in Jordan Using a Weighted Combination of Feed Forward Back Propagation Neural Network and Holt-Winter 3

Peak Forecasting for Electricity Loads in Jordan Using a Wei...

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3rd International Conference on Intelligent engineering and Management, ICIEM 2022

作者： Sleem, Ahmad Abu Mohammed, Ayman R. Shkoor, Saleh Al Saleh, Haitham IRC for Smart Mobility and Logistics Department of Industrial and Systems Engineering Dhahran Saudi Arabia Electrical Power Engineer Technical Control Department Amman Jordan

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

Predicting electrical loads is critical since it requires the preparation of work schedules for main and minor transformer maintenance operations. This study aims to estimate the maximum evening electricity loads in Jordan in order to plan preventive maintenance. Because the data contains two sorts of patterns, trend and seasonal, methods that address both of these patterns must be applied. Long-term maximum peak forecasting for the next five years from 2022 to 2027 is performed by utilizing a weighted combination of two methods: Feed Forward Back Propagation Neural Network and Holt-Winters. The Seasonal Autoregressive Integrated Moving Average method is also used and found of less accuracy than the two other models. A near-optimal weighted combination of the Neural Network Model and Holt-Winter is then obtained by using a non-linear optimization local search heuristic model. The new model results are of high accuracy that the value of R2 was increased from 70.2 % for the Neural Network Model and 82.4 % for the Holt-Winters method to 84.3 % in the weighted combination between them. Moreover, the value of Mean Absolute Error was decreased to from 134 and 188 for the Holt-Winter and Neural Network models respectively to become 117.98. Upon the results, recommendations are provided to the decision-makers. © 2022 IEEE.

关键词： Neural network models

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A STRUCTURAL RELIABILITY VERIFICATION OF THE LONG BLADES OF THE LAST THREE STAGES IN A LOW PRESSURE STEAM TURBINE FOR A 1356MW NUCLEAR power PLANT USING A SUBSCALE MODEL TURBINE FACILITY 30

A STRUCTURAL RELIABILITY VERIFICATION OF THE LONG BLADES OF ...

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30th International Conference on Nuclear engineering, ICONE 2023

作者： Yoshihara, Tsutomu Onoda, Akihiro Tsukuda, Tomohiko Tashima, Tsuguhisa Shibukawa, Naoki Yoshida, Yohsuke Shinohara, Atsuki Hatakeyama, Kazuki Energy Systems Research and Development Center Toshiba Energy Systems & Solutions Corporation Yokohama Japan Nuclear Thermal Utilization System Design & Engineering Department Toshiba Energy Systems & Solutions Corporation Yokohama Japan Plant Project Engineering Department Toshiba Energy Systems & Solutions Corporation Kawasaki Japan Nuclear Asset Management Department Tokyo Electric Power Company Holdings Inc. Tokyo Japan

ISBN: (纸本)9784888982566

In the event of a steam turbine shutdown, pressure in the steam path of the turbine suddenly decreases to a vacuum. This causes pooled drain in the heater to immediately boil and turn into Flash-back steam coming back to the turbine, the so-called Flash-back phenomenon. This phenomenon can cause serious damage to long blades. To verify the structural reliability of the blades, model steam turbine tests were conducted. The size of the model turbine was 1/4.2 of the 1500rpm full scale actual steam turbine, and rotated at 6300rpm to keep the velocity triangles the same as that in the full scale turbine. In terms of mechanical features, the blade stress of the model turbine was the same as that of the full scale turbine. The test facility contained two sets of a hot water tank and a connecting line to the turbine. Quick-move gate valves in the lines were opened during low load and full speed steam turbine operation. This caused preheated water in the tank to boil and come back to the steam turbine, which simulated the Flash-back phenomena. The Flash-back mass flow rate and wetness of Flash-back flow were varied as test parameters to investigate the influence of Flash-back on blade stress with various Flash-back flow conditions. The test parameters were decided considering the situation that the turbine is shutdown at 100% load condition which is the most severe condition in actual steam turbine operations and was not verified in previously reported tests. The vibration stress was obtained from strain gauges mounted on the suction side of each blade. The relationship between Flash-back conditions and vibration stress was investigated. As a result, it was confirmed that the vibration stress on the long blades caused by the Flash-back phenomena is sufficiently low compared to the strength of the blade material. © 2023 by JSME.

关键词： Steam turbines

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Comparative Analysis of Different Connection Schemes for power balance Machine in power Plant System 5

Comparative Analysis of Different Connection Schemes for Pow...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Yang, Zhaohui Wei, Huadong Shang, Yang Zhang, Shaopeng Li, Changgang Shandong Electric Power Engineering Consulting Institute Co. Ltd Power Generation Design and Research Institute Electric Control Department Jinan China Shandong University School of Electrical Engineering Jinan China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The reduction of auxiliary power is critical for the efficiency improvement of power plants. For coal power plants, the auxiliary power can be reduced by replacing the driving source of auxiliary motors with a small steam turbine driven by the steam with high temperature and pressure. To make sure the power of auxiliary motors is suitable for plant requirements, a power balance machine is required to balance the extra power from steam. In this paper, the connection scheme of the power balance machine is studied for a power plant with two 630°C 1000MW double reheat units. Various electrical connection schemes connecting the power balance machine to the power system are designed. The power flow calculation and system stability analysis are carried out to ensure the system's reliability. © 2022 IEEE.

关键词： Electric connectors

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Electrical Tracking,Erosion and Fire Retardancy Performance of Silicone Rubber Insulation Containing Aluminum Trihydrate,Graphene and Glass Fiber Additives

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CSEE Journal of power and Energy systems 2023年第5期9卷 1918-1925页

作者： M.Tariq Nazir Arslan Khalid B.Toan Phung Arup K.Das Peter Cheetham Ashish Paramane Shakeel Akram Khoi Loon Wong School of Engineering RMIT UniversityMelbourneVIC 3000Australia. the Center for Advanced Power Systems(CAPS) Florida State UniversityFL 32310USA the Flame Security International Pty Limited Australia the School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW 2052Australia Department of Electrical Engineering National Institute of TechnologySilcharAssam 788010India the College of Electrical Engineering and Control Science Nanjing Tech UniversityNanjingJiangsu 211816China

Silicone rubber composite is a priority electrical insulating material used in high-voltage outdoor insulation *** electrical tracking/erosion and poor flame resistance performance of silicone rubber once ignited,substantially reduce its working *** paper attempts to investigate tracking/erosion performance of room temperature vulcanized(RTV)silicone rubber along with flame retardant parameters using aluminum trihydrate(ATH),graphene nanosheets(GN)and milled glass fiber(GF)*** inclined plane test(IPT)was performed in line with criteria defined in IEC 60587 using step-up tracking voltage method while flame retardancy is evaluated according to ASTM E 1354.0 using a cone *** suggest 30% of ATH assists in improving physical tracking/erosion resistance of pristine silicone elastomer rubber by impeding development of leakage current and a great reduction in maximum average temperatures on the surface of *** improvement in performance of RTV2 is achieved through introduction of 1%of GN and 5% of GF as seen in ***,30% of ATH reduces heat release rate and smoke production rate,and this trend is improved with the introduction of GN/***4 has pop up as the most promising silicone rubber composite with excellent electrical tracking,erosion,and flame resistance performance relative to its counterparts in this study.

关键词： Dry band arcing electrical tracking heat release rate leakage current silicone rubber smoke production rate

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