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2023 IEEE Asia Meeting on Environment and Electrical engineering, EEE-AM 2023

作者： Soetomo, Kevin Hamamatsu, Koichi Thuan, Dinh Huu Linh, Nguyen Manh Quang, Lai Vu Okai, Makoto Power Grid System Solutions Toshiba Energy Systems & Solutions Corporation Engineering Dept. Kawasaki Japan Technical Department Ho Chi Minh City Viet Nam Ltd. Engineering Dept. Hanoi Viet Nam Ltd. Sales & Engineering Division Hanoi Viet Nam Toshiba Energy Systems & Solutions Corporation Protection and Control Dept. Fuchu Japan

ISBN: (纸本)9798350381061

The protection and control system in substations has undergone significant evolution since the era of hardwired systems. In recent years, the increasing trend of digital transformation (DX) across various fields, including protection and automation systems, has led to the promotion of IEC 61850 process bus-based digital substations. However, recent analysis and evaluation have revealed numerous challenges in various aspects, such as technical issues, system performance, test methods, maintenance, and economic considerations. Moreover, many of these challenges lie outside the scope of international standards like IEC 61850 and IEC 61869. As a result, the worldwide implementation of digital substations has been hindered. This paper aims to describe the issues encountered during the implementation of process bus technology and propose solutions that focus on optimizing system configuration based on our experience in implementing digital substation projects and developing MU and IED. Addressing these issues is crucial to fully unlocking the potential of digital substations. One of the most promising advantages is the availability of digital data collected from substation equipment. By utilizing this data, overall power system operational efficiency can be enhanced, and equipment management can be optimized. Predictive maintenance can be implemented, enabling the early detection of potential equipment failures, minimizing unplanned outages, and reducing the need for emergency repairs, which contribute to unnecessary carbon emissions and equipment downtime. Ultimately, digital substations empower end-users to reduce greenhouse gas emissions, improve energy efficiency, and seamlessly integrate power systems, thereby supporting the carbon-neutral initiative and facilitating the transition towards a sustainable energy future. © 2023 IEEE.

关键词： Energy efficiency

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Design of Output and Impacts control systems

Design of Output and Impacts Control Systems

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International Russian Automation Conference (RusAutoCon)

作者： Anatoly Gaiduk Nikolay Prokopenko Vladislav Chumakov Dept. of Automatic Control Systems Scientific Design Office Robotics and Control Systems Taganrog Southern Federal University Rostov-on-Don Russia Dept. of Scientific Research Dept. of Information Systems and Radio Engineering Don State Technical University Rostov-on-Don Russia

To design linear control systems a new method is suggested on the basis of the principle of output and impacts control. The main difference of this principle consists in the use of only measurable variables and separate operators for each input signal of the control device. The design problem has a solution if the plant is completely controllable, and at least the controllable variable is measured. The suggested approach makes it possible to eliminate the well-known contradiction between the accuracy and stability of systems with control on deviation, and to provide the required astatism orders or selective invariance to the external actions. At the same time, the conditions of ensuring the direct indicators of the transient quality and the physical implementation of the control device are taken into account. The coefficients of the equation of the output and impacts control device are determined by solving a system of linear algebraic equations. The control device can be implemented on the basis of either operational amplifiers or sufficiently high-speed digital automation tools. The suggested method can be applied for designing high-quality linear control systems for various purposes.

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Forecasting Breakdowns of Electric Motors of a Sugar Factory Using Machine Learning Methods 4

Forecasting Breakdowns of Electric Motors of a Sugar Factory...

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4th IEEE KhPI Week on Advanced Technology, KhPI Week 2023

作者： Zaiets, Nataliia Vlasenko, Lidiia Lutska, Nataliia Zhyltsov, Andrii Dept. of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kyiv Ukraine Dept. of Software Engineering and Cyber Security State University of Trade and Economics Kyiv Ukraine Dept. of Automation and Computer Technologies of Control Systems National University of Food Technologies Kyiv Ukraine Dept. of Electromagnetic Systems The Institute of Electrodynamics The National Academy of Sciences of Ukraine Kyiv Ukraine

ISBN: (纸本)9798350395532

The paper demonstrates the process of developing mathematical models for identifying breakdowns of electric motors using machine learning methods. The authors have developed three mathematical models for identifying breakdowns of electric drives with a power of 55 kW, 1500 rpm on the example of sugar production: model for quadratic discriminant analysis;binary classification decision tree;feedforward neural network model. The best structures and parameters of the models were determined by machine learning methods. The performance of the models on the training and test sets was more than 96% by F-score. It was proposed to use all three models independently for diagnosing breakdowns of electric drives, while the decision maker makes the final decision on the replacement or repair of electrical equipment. This approach is justified and effective because of the diversity of models. The developed models, except for assessing the state of the engine, can also be used for simulation modelling, forecasting, and serve as information support for process operators in organizing equipment maintenance. The availability of real-time information about the state of equipment in production will allow timely repair or replacement of equipment, thereby reducing the risks of stopping production and increasing the resource efficiency of technological processes. © 2023 IEEE.

关键词： Decision trees

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A Review on Improvement in Detection of Cyberattacks Using Artificial Intelligence for the Grid Applications 11

A Review on Improvement in Detection of Cyberattacks Using A...

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11th IEEE Open Conference of Electrical, Electronic and Information Sciences, eStream 2024

作者： Vilkelyte, Zivile Wojciechowski, Jerzy Bojarczak, Piotr Fallah, Saad El Kharbach, Jaouad Jamil, Mohammed Ouazzani Vanagas, Jonas Vilnius TECH Dept. Electrical Engineering Vilnius Lithuania Casimir Pulaski University of Radom Dept. Control Systems and Electronics Radom Poland Fez Morocco Université Sidi Mohamed Ben Abdellah Faculté des Sciences Dhar El Mahraz Laboratoire de Physique de Solide Fez Morocco Vilnius TECH Vilnius Dept. Electrical Engineering Lithuania

ISBN: (纸本)9798350352412

The integration of artificial intelligence and machine learning technologies into critical infrastructures, such as smart grids, has raised significant concerns regarding cybersecurity. This paper explores the dual role of artificial intelligence and machine learning in both enhancing and challenging cybersecurity within smart grid systems. By analysing the current stateof-the-art research and technology, the utilisation of artificial intelligence and machine learning to fortify cybersecurity defences while addressing potential vulnerabilities. The the emergence of cyber threats targeting Internet-of-Things-based smart grids is highlighted and solutions to mitigate these risks are proposed. Through a comprehensive review of literature, the efficacy of artificial intelligence driven cybersecurity measures in detecting and preventing cyberattacks are evaluated. Additionally, challenges associated with implementing these solutions in smart grid environments, such as data complexity and computational requirements are taken into account. The findings underscore the critical importance of ongoing research and innovation to ensure the resilience of smart grid cybersecurity. © 2024 IEEE.

关键词： Smart power grids

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DESIGN OF PID controlLER FOR NONLINEAR MAGNETIC LEVITATION SYSTEM USING FUZZY-TUNING APPROACH

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2022年第2期84卷 45-62页

作者： Ismail, Laith S. Lupu, Ciprian Alshareefi, Hamid Luu, Duc Lich Dept. of Automatic Control University POLITEHNICA of Bucharest Romania Computer Technology Engineering Department Al Turath University Collage Baghdad Iraq Faculty of Mechanical Dynamics Vinh University of Technology Education Nghe an Viet Nam

This paper presents a dynamic model of a magnetic levitation system (Maglev) and suggests a Fuzzy Tuning of a proportional—integral--derivative controller (PID) that uses a fuzzy approach system to determine the PID controller's settings. The controller allows a steel ball to be suspended in free fall in the chosen position in reference to the electromagnet bottom end. The electromagnet levitation system can be controlled with a traditional PID controller, however because of the highly nonlinear of this system, it is unpredictable in the case of load and air gap changes. The fuzzy rules are developed to fuzzy tune PID while considering the control response and behavior of the system to find a solution to this problem. This paper shows excellent stability, rising time, settling time overshoot, and robust response results. The results reveal that this fuzzy PID controller solution can stabilize the ball's location and has strong disturbance rejection. The real time platform is designed for educational laboratory and test all the proposed control systems. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： controllers

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Funnel Neural Network Model Predictive control for a 4 DoF Robot Manipulator

Funnel Neural Network Model Predictive Control for a 4 DoF R...

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2024 Advances in Science and engineering Technology International Conferences, ASET 2024

作者： Stihi, Sana Aouaichia, Abdelhadi Gad, Omar Fareh, Raouf Khadraoui, Sofiane Bettayeb, Maamar Kara, Kamel University of Sharjah Dept. of Electrical Engineering Sharjah United Arab Emirates Laboratory of Electrical Systems and Remote Control Blida 1 University Algeria Dceies King Abdulaziz University Saudi Arabia

ISBN: (纸本)9798350344134

This paper introduces the design of a Prescribed Performance Neural Network Model Predictive control (PPNNMPC) tailored for a 4 Degrees of Freedom (DoF) robot manipulator in trajectory tracking applications. The design of the proposed controller is formulated using Model Predictive control (MPC) methodology, which has the advantage of predicting the system's future behavior to achieve optimal robot control. Then, the prescribed performance function is incorporated into the control law by integrating the transformed error in the optimization process. The Prescribed Performance Function (PPF) maintains the tracking error within predefined limits, enhancing the system's transient response. Furthermore, integrating Neural Networks (NN) and prescribed performance functions into the control law design mitigates the common computational time drawback associated with MPC. Simulation results emphasize the superior efficiency of the suggested controller in contrast to the traditional model predictive control, demonstrating reduced overshoot, small settling time, improved computational efficiency, and accurate tracking of desired set-points. © 2024 IEEE.

关键词： Predictive control systems

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System Identification-informed Transparent and Explainable Machine Learning with Application to Power Consumption Forecasting

System Identification-informed Transparent and Explainable M...

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Electrical, Computer, Communications and Mechatronics engineering (ICECCME), International Conference on

作者： Hua-Liang Wei Dept. Automatic Control and Systems Engineering Energy Institute Centre of Machine Intelligence Centre for Signal Processing and Cpmplex Systems The University of Sheffield Sheffield UK

System identification (SysID) is the art and science of dealing with dynamic data modelling problems from systems science perspectives. It has been an active field and is still very active today, due to its wide range of applications, especially its basic principles of finding transparent, interpretable and parsimonious models for different purposes. The past decades have witnessed the explosive growth in machine learning (ML) and its applications in all areas of science and engineering. Meanwhile, there has been an increasing demand for the development of transparent, explainable and/or interpretable ML models. This paper proposes a new framework for developing System Identification-informed Transparent and Explainable MAchine Learning (SITEMAL) models. A case study, involving a real power consumption dataset, is presented to demonstrate the application of the proposed modelling framework and its performance for power consumption forecasting.

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Fractional Exponential Reaching Law Sliding Mode control for a Robot Manipulator Tracking Application 12

Fractional Exponential Reaching Law Sliding Mode Control for...

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2024 12th International Conference on systems and control, ICSC 2024

作者： Stihi, Sana Aouaichia, Abdelhadi Gad, Omar Fareh, Raouf Khadraoui, Sofiane Bettayeb, Maamar University of Sharjah Sharjah United Arab Emirates University of Blida 1 Laboratory of Electrical Systems and Remote Control Algeria University of Sharjah Dept. of Electrical Engineering Sharjah United Arab Emirates

ISBN: (纸本)9798331531812

This paper proposes a control strategy for a robot manipulator with four Degrees Of Freedom (DOF) that takes advantage of sliding mode control theory, exponential reaching law, and fractional calculus. Tracking the joint space trajec-tories with precision is the goal of the proposed Fractional Exponential reaching law Sliding Mode control (FrExpSMC). Utilizing fractional calculus in the sliding surface enhances the robustness of the exponential reaching mode against external disturbances. The fractional calculus expression of the sliding surface ensures a finite time convergence of the controller and provides the controller with a fast response in the transient phase. The proposed control approach's efficiency and performances are demonstrated by simulation on a model of a 4-DOF robot manipulator and compared to the conventional sliding mode control. The stability of the closed-loop system is proved using Lyapunov theory. The results indicate that the recommended control outperforms the conventional sliding mode control in both tracking performance and robustness against step disturbances. © 2024 IEEE.

关键词： Robot applications

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An Intelligent Battery Management System for an Electric Vehicle Powered by Solar PV Array 59

An Intelligent Battery Management System for an Electric Veh...

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59th International Universities Power engineering Conference, UPEC 2024

作者： Challoob, Ali Falih Bin Rahmat, Nur Azzammudin Ramachandaramurthy, Vigna K. Saeed, Nagham Humaidi, Amjad Jaleel Institute of Power Engineering Universiti Tenaga Nasional Strategic Planning Centre Malaysia School of Computing and Engineering University of West London London United Kingdom University of Technology Control and Systems Eng. Dept. Baghdad Iraq

ISBN: (纸本)9798350379730

Implementing a Battery Management System (BMS) in Electric Vehicles (EVs) offers several benefits that enhance the efficiency, security, and durability of the vehicle's battery system. The BMS oversees and controls the performance of each cell in the battery pack, guaranteeing that they function within predetermined voltage and temperature thresholds to maintain safety. In this paper, an intelligent BMS for an EV model powered by a solar PV array was proposed using a fuzzy logic (FL) controller. The proposed method was applied to EVs consisting of four Lithium-ion batteries. The simulation results are achieved using MATLAB/Simulink software. The estimation of the state of charge (SOC) for each battery was used as input to the FL which controls the discharging/ charging mode for each battery via power semiconductor switches. Three different scenarios are used to verify the suggested method. A full control FL operation was obtained, and the batteries were protected successfully against overcharging and over-discharging. © 2024 IEEE.

关键词： MATLAB

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Research of a Filter on Switchable Capacitors with Three-Phase control of Electronic Keys

Research of a Filter on Switchable Capacitors with Three-Pha...

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Wave Electronics and its Application in Information and Telecommunication systems (WECONF)

作者： Darya Denisenko Alexey Titov Nikolay Butyrlagin Alexey Zhuk dept. of Scientific Research Don State Technical University Rostov-on-Don Russia dept. of Automatic Control Systems Southern Federal University Rostov-on-Don Russia dept. of Information Systems and Radio Engineering Don State Technical University Rostov-on-Don Russia

ISBN: (数字)9798350364989

ISBN: (纸本)9798350364996

A low frequencies filter of the second order on switched capacitors has been developed and studied, the distinctive feature of which is three-phase control of three electronic keys. In the proposed circuit, this allows, at constant parameters of the frequency-setting capacitors and a fixed switching frequency of electronic keys, to control the frequency of the filter pole by changing the ratio of the resistances of resistors in the general feedback circuit. The basic equations for the filter transmission coefficients at zero frequency and at the pole frequency are given, as well as formulas for calculating the pole frequency and pole attenuation at the second order. A simulation of the filter was made in the Micro-Cap environment, which shows that the considered circuit solution performs the functions of a low-pass filter. Considered filter on switched capacitors can be used to create new adaptive measuring systems and analog-digital signal processing devices.

关键词： Resistors Switching frequency Capacitors Low-pass filters Switches control systems Information filters

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