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2024 Energy Conversion Congress and Expo Europe, ECCE Europe 2024

作者： Stala, Robert Bhatnagar, Pallavee Mondzik, Andrzej Waradzyn, Zbigniew Pirog, Stanislaw Folmer, Szymon Gupta, Krishna Kumar Agh University of Krakow Department of Power Electronics and Energy Control Systems Kraków Poland National Institute of Technical Teachers' Training and Research Department of Electrical and Electronics Engineering and Education Bhopal India Thapar Institute of Engineering and Technology Electrical and Instrumentation Engineering Department Patiala India

ISBN: (纸本)9798350364446

This paper presents a hybrid DC-DC converter composed of switch-mode DC-DC converters and switched-capacitor circuits. The system has continuous voltage regulation, low voltage stress across switches, low inductor current, low input and output current ripple values, and high frequency of the output capacitor voltage ripples. Operation of the converter, its efficiency and loss distribution in transistors are demonstrated in the paper. © 2024 IEEE.

关键词： Capacitor bank

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Design and Implementation of Biological Inspired Algorithm Coupled with Sliding Mode controller for Autonomous Cruise control System

Design and Implementation of Biological Inspired Algorithm C...

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2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

作者： Gulzar, Muhammad Majid Ahmed, Muhammad Mughees Shakoor, Adnan Tahreem, Huma Center for Renewable Energy and Power Systems King Fahd University of Petroleum & Minerals Department of Control & Instrumentation Engineering Dhahran31261 Saudi Arabia University of Central Punjab Department of Electrical Engineering Lahore Pakistan

ISBN: (纸本)9798350304602

In modern automobiles, driving assistance systems are extensively used for efficiency, safety and comfort. These systems are utilized for autonomous driving, cruise control, and obstacle avoidance. All of these systems consist of a large number of radars and sensors that generate rapid responses to control the speed or direction of a vehicle. The primary objective of this type of technology is to reduce accidents by reducing driver tension and enhancing travel comfort. The purpose of this study is to develop a controller for cruise control in vehicles that can precisely, rapidly, and efficiently attain the desired speed. In this study, biological inspired optimization tuned Sliding Mode controller is utilized which is more accurate and robust, and can help to adjust the parameters so that the cruise control system provides minimal error, stable results with the fewest disturbances possible. In order to demonstrate the superiority of the proposed controller, the results are subsequently compared to currently employed cutting-edge technologies for cruise control. © 2023 IEEE.

关键词： Autonomous vehicles

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LMI-based Decentralized Load Frequency control of a Hybrid power System with a Virtual Synchronous Generator and Battery Storage

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IFAC-PapersOnLine 2023年第2期56卷 10910-10916页

作者： Abdulla Omaruddin Paul Trodden Nuclear & Power Atkins UK Department of Automatic Control and Systems Engineering The University of Sheffield UK

This paper proposes the participation of wind generation in the decentralized control of load frequency of a hybrid power system consisting of, in addition to wind generation, conventional generation and battery storage. The wind generation is modelled as a ‘Virtual Synchronous Generator (VSG)’ in a separate control area with its own virtual frequency. It has also been proposed to operate the wind generation system in a ‘de-loaded’ mode, thereby allowing it to take part in frequency regulation services. For the purposes of a decentralized control design, the overall system model is decomposed into three subsystems. Static state-feedback control gains are computed by posing the decentralized control problem as a set of linear matrix inequalities (LMIs) subject to structural and stabilizing constraints.

关键词： Optimal operation and control of power systems control of renewable energy resources control system design

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Intelligent Fault Diagnosis for Low-Voltage power Network

Intelligent Fault Diagnosis for Low-Voltage Power Network

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Anwar, Hamza M. Shafiullah, Md Abido, M.A. Kfupm Control & Instrumentation Engineering Department Dhahran31261 Saudi Arabia Electrical Engineering Department Dhahran31261 Saudi Arabia Kfupm Irc for Renewable Energy and Power Systems Dhahran31261 Saudi Arabia Dhahran31261 Saudi Arabia

ISBN: (纸本)9781665471640

Faults are common and potentially dangerous problems in low-voltage power system networks, e.g., distribution networks. Upon discovery, they must be dealt with immediately to prevent further damage to the distribution system and quickly return electricity to consumers. This paper proposes a hybrid fault diagnosis method combining a signal processing technique with deep learning models. Faults are applied in a four-node test distribution feeder developed using MATLAB and Simulink. Different measurement noise levels are implemented, along with varying load and fault parameters. The short-time Fourier transform (STFT) is used on the feeder's current signals as a feature extraction tool. These features are then used to train deep learning models to detect, classify, and locate faults. Various parameters of the models are varied to find the optimum ones, which are used to obtain the results. The findings show that the model performed exceptionally well in fault detection and classification and satisfactorily in fault location. © 2023 IEEE.

关键词： deep neural networks fault classification fault detection fault location MATLAB/SIMULINK Python Short-time Fourier Transform

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MLD-MPC Approach for Three-Tank Hybrid Benchmark Problem

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Computers, Materials & Continua 2023年第5期75卷 3657-3675页

作者： Hanen Yaakoubi Hegazy Rezk Mujahed Al-Dhaifallah Joseph Haggège Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis El ManarTunis1002Tunisia Department of Electrical Engineering College of Engineering in Wadi AlddawasirPrince Sattam bin Abdulaziz UniversityWadi Alddawasir11911Saudi Arabia Control and Instrumentation Engineering Department King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Interdisciplinary Research Center(IRC)for Renewable Energy and Power Systems King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia

The present paper aims at validating a Model Predictive control(MPC),based on the Mixed Logical Dynamical(MLD)model,for Hybrid Dynamic systems(HDSs)that explicitly involve continuous dynamics and discrete *** proposed benchmark system is a three-tank process,which is a typical case study of *** MLD-MPC controller is applied to the level control of the considered tank *** study is initially focused on the MLD approach that allows consideration of the interacting continuous dynamics with discrete events and includes the operating *** feature of MLD modeling is very advantageous when an MPC controller synthesis for the HDSs is *** the MLD model of the system is well-posed,then the MPC law synthesis can be developed based on the Mixed Integer Programming(MIP)optimization *** solving this MIP problem,a Branch and Bound(B&B)algorithm is proposed to determine the optimal control ***,a comparative study is carried out to illustrate the effectiveness of the proposed hybrid controller for the HDSs compared to the standard MPC *** results show that the MLD-MPC approach outperforms the standardMPCone that doesn’t consider the hybrid aspect of the *** paper also shows a behavioral test of the MLDMPC controller against disturbances deemed as liquid leaks from the *** results are very satisfactory and show that the tracking error is minimal less than 0.1%in nominal conditions and less than 0.6%in the presence of *** results confirm the success of the MLD-MPC approach for the control of the HDSs.

关键词： Hybrid dynamic system model predictive control mixed logical dynamical model mixed integer programming three-tank hybrid system

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Semi-empirical equivalent circuit model and evaluation of energy losses for alkaline electrolysis stack in dynamic operations

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International Journal of Hydrogen Energy 2025年 138卷 859-873页

作者： Sha, LianDong Lin, Jin Qi, Ruomei Li, Qinghui Li, Wenying Lin, Ruixiao Gao, Danhui Li, Hang Li, Xiaolong Yang, Chenxi Song, Yonghua State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China Tsinghua-Sichuan Energy Internet Research Institute Chengdu610213 China School of Chemistry and Chemical Engineering Southwest Petroleum University Chengdu610213 China School of Nuclear Science and Engineering North China Electric Power University Beijing100084 China State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China

In various applications of alkaline water electrolysis (AWE) for hydrogen production, the efficiency of AWE stacks is a critical concern. Emerging applications involve significant dynamic operations, necessitating the evaluation of their impact on stack efficiency. However, a quantitative understanding of the power losses within AWE stacks under dynamic conditions remains limited. A significant research challenge exists in the development of models for AWE stacks that can accommodate dynamic operating conditions, and there is a need for a systematic approach to classify and quantify energy losses within the stack. This paper presents a quantitative assessment method for losses in AWE stacks based on a semi-empirical equivalent circuit model (SECM). The losses within the AWE stack are categorized into four types based on their generation mechanisms: overpotential losses, shunt current losses, non-Faradaic losses, and electrochemical cycling losses (cycling losses for short). Using experimental data from 5 MW and 10 kW AWE stacks, the parameters of the SECM observer are identified through a stepwise data-driven approach, resulting in a mean square error of less than 46.4 mV for 5 MW stack and 80.9 mV for 10 kW stack. The constructed SECM observer is employed to simulate the proportion of various losses under different dynamic operating conditions. This paper focuses on the efficiency and loss behaviors of AWE stacks under multi-stack switching strategies. Case studies demonstrate that the current range, ramp rate, regulation period, and duty cycle significantly influence the four types of losses. Based on the SECM observer, recommended parameters for multi-stack switching are provided. This work contributes to accurate assessment of AWE stack efficiency under dynamic operations and provides a methodology for designing AWE stack operating strategies. © 2025 Hydrogen Energy Publications LLC

关键词： Alkaline water electrolysis stack Dynamic operation Efficiency Electrochemical cycling losses Equivalent circuit model Multi-stack switching strategies

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Switching Function Analysis of DC-DC Converters under Pontryagin's Maximum Principle 19

Switching Function Analysis of DC-DC Converters under Pontry...

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19th IEEE International Multi-Conference on systems, Signals and Devices, SSD 2022

作者： A-Saif, Abdul-Wahid Al-Ameer, Ali Aldhaifallah, Mujahed Rezk, Hegazy Mohamed, Ahmed Ali A. for Smart Mobility and Logistics Control and Instrumentation Engineering Department Dhahran Saudi Arabia Kfupm Control and Instrumentation Engineering Department Dhahran Saudi Arabia for Renewable Energy and Power Systems Control and Instrumentation Engineering Department Dhahran Saudi Arabia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz University Al-Kharj Saudi Arabia Grove School of Engineering City College of the City University of New York Department of Electrical Engineering YorkNY10031 United States

ISBN: (数字)9781665471084

ISBN: (纸本)9781665471084

This work derives the closed-form solution of the switching function for a DC-DC buck converter under Pon-tryagin's maximum principle to gain insights into the circuit parameters impact on the converters' dynamic performance. We also analyzed the boost converter switching function under the same principle. Using MatLab/Simulink to simulate typical converters, the results matched our analysis while suggesting that boost converters could achieve time-optimal states transition within a single switching similar to the case of buck converters. © 2022 IEEE.

关键词： MATLAB

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Performance Comparison of Fuzzy Logic control and PI control for DC Microgrid 20

Performance Comparison of Fuzzy Logic Control and PI Control...

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20th International Multi-Conference on systems, Signals and Devices, SSD 2023

作者： Masmali, Ayman Saif, Abdul-Wahid A. Al-Dhaifallah, Mujahed M. King Fahd University of Petroleum & Minerals Control and Instrumentation Engineering Department Dhahran31261 Saudi Arabia Interdisciplinary Research Center for Smart Mobility and Logistics Saudi Arabia Interdisciplinary Research Center for Renewable Energy and Power Systems Saudi Arabia

ISBN: (纸本)9798350332568

This paper aims at improving the performance of a DC Microgrid System, by introducing different control strategies and testing the performance of each. The components of this system are PV-source, power converters, and storage systems. The overall system will first be designed to be able to test the improvement of using the control strategies. Simulink will be used to implement the system modeling and testing. Different control schemes could be used in this context, such as fuzzy logic controller. © 2023 IEEE.

关键词： Fuzzy control

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Classification of Images Based on a System of Hierarchical Features

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Computers, Materials & Continua 2022年第7期72卷 1785-1797页

作者： Yousef Ibrahim Daradkeh Volodymyr Gorokhovatskyi Iryna Tvoroshenko Mujahed Al-Dhaifallah Department of Computer Engineering and Networks College of Engineering at Wadi AddawasirPrince Sattam Bin Abdulaziz UniversityAl-Kharj11991Saudi Arabia Department of Informatics Kharkiv National University of Radio ElectronicsKharkiv61166Ukraine Control and Instrumentation Engineering Department and Interdisciplinary Research Center(IRC)for Renewable Energy and Power SystemsKing Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia

The results of the development of the new fast-speed method of classification images using a structural approach are *** method is based on the system of hierarchical features,based on the bitwise data distribution for the set of descriptors of image *** article also proposes the use of the spatial data processing apparatus,which simplifies and accelerates the classification *** have shown that the time of calculation of the relevance for two descriptions according to their distributions is about 1000 times less than for the traditional voting procedure,for which the sets of descriptors are *** introduction of the system of hierarchical features allows to further reduce the calculation time by 2–3 times while ensuring high efficiency of *** noise immunity of the method to additive noise has been experimentally *** to the results of the research,the marginal degree of the hierarchy of features for reliable classification with the standard deviation of noise less than 30 is the 8-bit *** costs increase proportionally with decreasing bit *** method can be used for application tasks where object identification time is critical.

关键词： Bitwise distribution computer vision descriptor hierarchical representation image classification keypoint noise immunity processing speed

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Robust Frequency Regulation for Dual-Area Interconnected Grids Using Hybrid controller: A Comparative Study 3

Robust Frequency Regulation for Dual-Area Interconnected Gri...

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3rd IEEE International Conference on Smart Technologies for power, Energy and control, STPEC 2023

作者： Wazir, Awadh Ba Alhussainy, Abdullah A. Alobaidi, Abdulraheem H. Altaf, Aatif Kumar, Anil Kumar, Mahendra Alghamdi, Sultan King Abdulaziz University Faculty of Engineering Department of Electrical and Computer Engineering Jeddah Saudi Arabia King Abdulaziz University Center of Research Excellence in Renewable Energy and Power Systems Jeddah Saudi Arabia Dr. B R Ambedkar National Institute of Technology Jalandhar Instrumentation and Control Engineering Department Punjab Jalandhar India

ISBN: (纸本)9798350304732

This paper introduces a robust controller designed for load frequency control in a dual-area integrated power grid. Here, the suggested controller is a blend of a fuzzy logic controller with an integral controller. The parameters of the integral controller and frequency bias settings are optimized to enhance the dynamic response of the proposed controller. To attain this, three distinct optimization algorithms are employed, i.e., genetic algorithm, simulated annealing, and pattern search. A new objective function using settling time, settling-max, and settling-min with a suitable weight factor is used to improve the parameters estimation process. A comparative analysis is performed using the proposed approach and classical-I controller under two cases considering several load disturbance scenarios. Furthermore, the suggested hybrid controller is evaluated and compared with similar models in the literature. As expected, the proposed controller exhibits superior performance. © 2023 IEEE.

关键词： Fuzzy logic controller integral controller load frequency control optimization technique parameter estimation

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