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An Efficient Fuzzy Logic Fault Detection and Identification Method of Photovoltaic Inverters

Computers, Materials & Continua 2021年第5期67卷 2283-2299页

作者： Mokhtar Aly hegazy rezk Department of Electrical Engineering Aswan UniversityAswan81542Egypt Electronics Engineering Department Universidad Tecnica Federico Santa MariaValparaiso2390123Chile College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityWadi Addawaser11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringMinia UniversityMinia61111Egypt

Fuzzy logic control(FLC)systems have found wide utilization in several industrial *** paper proposes a fuzzy logic-based fault detection and identification method for open-circuit switch fault in grid-tied photovoltaic(PV)*** installations and ambitious plans have been recently achieved for PV systems as clean and renewable power generation sources due to their improved environmental impacts and availability *** converters represent the main parts for the grid integration of PV ***,PV power converters contain several power switches that construct their *** power switches in PV systems are highly subjected to high stresses due to the continuously varying operating ***,the grid-tied systems represent nonlinear systems and the system model parameters are changing ***,the grid-tied PV systems have a nonlinear factor and the fault detection and identification(FDI)methods based on using mathematical models become more *** proposed fuzzy logic-based FDI(FL-FDI)method is based on employing the fuzzy logic concept for detecting and identifying the location of various switch *** proposed FL-FDI method is designed and extracted from the analysis and comparison of the various measured voltage/current components for the control ***,the proposed FL-FDI method does not require additional components or measurement ***,the proposed method can detect the faulty condition and also identify the location of the faulty switch for replacement and maintenance *** proposed method can detect the faulty condition within only a single fundamental line period without the need for additional sensors and/or performing complex calculations or precise *** proposed FL-FDI method is tested on the widely used T-type PV inverter system,wherein there are twelve different switches and the FDI process represents a challenging *** results sho

关键词： Fault detection and identification fuzzy logic T-type inverter photovoltaic(PV)

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A Robust Single-Sensor MPPT Strategy for Shaded Photovoltaic-Battery System

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Computer Systems Science & Engineering 2021年第4期37卷 63-71页

作者： A.N.M.Alahmadi hegazy rezk Department of Electrical Engineering Umm Al-Qura UniversityMakkah21955Saudi Arabia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityWadi Ad-Dawasir11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringMinia UniversityMinia61111Egypt

A robust single-sensor global maximum power point tracking(MPPT)strategy based on modern optimization for photovoltaic systems considering shading conditions is proposed in this *** proposed strategy is designed for battery charging applications and direct current(DC)*** normal operation,the curve of photovoltaic(PV)output power versus PV voltage contains only a single peak *** point can be simply captured using any traditional tracking method like perturb and ***,this situation is completely different during the shadowing effect where several peaks appear on the power voltage *** of these peaks are local with only a single *** condition leads to the incapability of traditional tracking approaches to extract the global peak power due to their inability to distinguish between the local and global peak *** are trapped in the first peak point even when the point is ***,global tracking approaches based on modern optimization are highly required.A recent marine predators algorithm(MPA)has been used to solve the problem of tracking the global MPP under shadowing *** shadowing scenarios are used to test and evaluate the performance of MPA based *** obtained results are compared with particle swarm optimization(PSO)and ant lion optimizer(ALO).The results of the comparison con-firmed the effectiveness and robustness of the proposed global MPPT-MPA based tracker over PSO and ALO.

关键词： Optimization marine predators algorithm photovoltaic system battery charging applications partial shading condition MPPT

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Grey Wolf Optimization Based Tuning of Terminal Sliding Mode Controllers for a Quadrotor

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Computers, Materials & Continua 2021年第8期68卷 2265-2282页

作者： Rabii Fessi hegazy rezk Soufiene Bouallègue Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis EL MANARTunis1002Tunisia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt High Institute of Industrial Systems of Gabès(ISSIG) University of GabèsGabès6011Tunisia

The research on Unmanned Aerial Vehicles(UAV)has intensified considerably thanks to the recent growth in the fields of advanced automatic control,artificial intelligence,and *** this paper,a Grey Wolf Optimization(GWO)algorithm is proposed and successfully applied to tune all effective parameters of Fast Terminal Sliding Mode(FTSM)controllers for a quadrotor UAV.A full control scheme is first established to deal with the coupled and underactuated dynamics of the *** for altitude,attitude,and position dynamics become separately designed and *** work around the repetitive and time-consuming trial-error-based procedures,all FTSM controllers’parameters for only altitude and attitude dynamics are systematically tuned thanks to the proposed GWO *** a hard and complex tuning task is formulated as a nonlinear optimization problem under operational *** performance and robustness of the GWO-based control strategy are compared to those based on homologous metaheuristics and standard terminal sliding mode *** simulations are carried out to show the effectiveness and superiority of the proposed GWO-tuned FTSM controllers for the altitude and attitude dynamics’stabilization and *** statistical analyses revealed that the GWO algorithm is more competitive with high performance in terms of fastness,non-premature convergence,and research exploration/exploitation capabilities.

关键词： Quadrotor cascade control fast terminal sliding mode control grey wolf optimizer nonparametric Friedman analysis

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Optimal Tuning of FOPID-Like Fuzzy Controller for High-Performance Fractional-Order Systems

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Computers, Materials & Continua 2022年第1期70卷 171-180页

作者： Ahmed M.Nassef hegazy rezk College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Computers and Automatic Control Engineering Faculty of EngineeringTanta UniversityTanta31733Egypt Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt

This paper addresses improvements in fractional order(FO)system *** the classical proportional-integral-derivative(PID)-like fuzzy controller can provide adequate results for both transient and steady-state responses in both linear and nonlinear systems,the FOPID fuzzy controller has been proven to provide better *** high performance was obtained thanks to the combinative benefits of FO and fuzzy-logic *** paper describes how the optimal gains and FO parameters of the FOPID controller were obtained by the use of a modern optimizer,social spider optimization,in order to improve the response of fractional dynamical *** group of systems had usually produced multimodal error surfaces/functions that occasionally had many variant local *** integral time of absolute error(ITAE)used in this study was the error *** results showed that the strategy adopted produced superior performance regarding the lowest ITAE *** reached a value of 88.22 while the best value obtained in previous work was 98.87.A further comparison between the current work and previous studies concerning transient-analysis factors of the model’s response showed that the strategy proposed was the only one that was able to produce fast rise time,low-percentage overshoot,and very small steady-state ***,the other strategies were good for one factor,but not for the others.

关键词： Fuzzy-logic control fractional-order systems parameter estimation optimization

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Control Strategy for a Quadrotor Based on a Memetic Shuffled Frog Leaping Algorithm

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Computers, Materials & Continua 2021年第6期67卷 4081-4100页

作者： Nour Ben Ammar hegazy rezk Soufiene Bouallègue Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis EL MANARLe BelvédèreTunis1002Tunisia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt High Institute of Industrial Systems of Gabès(ISSIG) University of GabèsGabès6011Tunisia

This work presents a memetic Shuffled Frog Leaping Algorithm(SFLA)based tuning approach of an Integral Sliding Mode Controller(ISMC)for a quadrotor type of Unmanned Aerial Vehicles(UAV).Based on the Newton–Euler formalism,a nonlinear dynamic model of the studied quadrotor is firstly established for control design *** the main parameters of the ISMC design are the gains of the sliding surfaces and signum functions of the switching control law,which are usually selected by repetitive and time-consuming trials-errors based procedures,a constrained optimization problem is formulated for the systematically tuning of these unknown *** time-domain operating constraints,such an optimization-based tuning problem is effectively solved using the proposed SFLA metaheuristic with an empirical comparison to other evolutionary computation-and swarm intelligence-based algorithms such as the Crow Search Algorithm(CSA),Fractional Particle Swarm Optimization Memetic Algorithm(FPSOMA),Ant Bee Colony(ABC)and Harmony Search Algorithm(HSA).Numerical experiments are carried out for various sets of algorithms’parameters to achieve optimal gains of the sliding mode controllers for the altitude and attitude dynamics *** studies revealed that the SFLA is a competitive and easily implemented algorithm with high performance in terms of robustness and non-premature *** results verified that the proposed metaheuristicsbased approach is a promising alternative for the systematic tuning of the effective design parameters in the integral sliding mode control framework.

关键词： Quadrotor modeling integral sliding mode control gains tuning advanced metaheuristics memetic algorithms shuffled frog leaping algorithm

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Fractional-Order Control of a Wind Turbine Using Manta Ray Foraging Optimization

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Computers, Materials & Continua 2021年第7期68卷 185-199页

作者： hegazy rezk Mohammed Mazen Alhato Mohemmed Alhaider Soufiene Bouallègue College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia University61517MiniaEgypt Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of TunisTunis1002Tunisia High Institute of Industrial Systems of Gabès University of GabèsGabès6011Tunisia

In this research paper,an improved strategy to enhance the performance of the DC-link voltage loop regulation in a Doubly Fed Induction Generator(DFIG)based wind energy system has been *** proposed strategy used the robust Fractional-Order(FO)Proportional-Integral(PI)control *** FOPI control contains a non-integer order which is preferred over the integer-order control owing to its *** offers extra flexibility in design and demonstrates superior outcomes such as high robustness and *** optimal gains of the FOPI controller have been determined using a recent Manta Ray Foraging Optimization(MRFO)*** the optimization process,the FOPI controller’s parameters are assigned to be the decision variables whereas the objective function is the error racking that to be *** prove the superiority of the MRFO algorithm,an empirical comparison study with the homologous particle swarm optimization and genetic algorithm is *** obtained results proved the superiority of the introduced strategy in tracking and control performances against various conditions such as voltage dips and wind speed variation.

关键词： Renewable energy modeling wind turbine doubly fed induction generator fractional order control manta ray foraging optimization

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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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Path Planning of Quadrotors in a Dynamic Environment Using a Multicriteria Multi-Verse Optimizer

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Computers, Materials & Continua 2021年第11期69卷 2159-2180页

作者： Raja Jarray Mujahed Al-Dhaifallah hegazy rezk Soufiene Bouallègue Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis El ManarTunis1002Tunisia Department of Systems Engineering King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt High Institute of Industrial Systems of Gabès(ISSIG) University of GabèsGabès6011Tunisia

Paths planning of Unmanned Aerial Vehicles(UAVs)in a dynamic environment is considered a challenging task in autonomous flight control *** this work,an efficient method based on a Multi-Objective MultiVerse Optimization(MOMVO)algorithm is proposed and successfully applied to solve the path planning problem of quadrotors with moving *** a path planning task is formulated as a multicriteria optimization problem under operational *** proposed MOMVO-based planning approach aims to lead the drone to traverse the shortest path from the starting point and the target without collision with moving *** vehicle moves to the next position from its current one such that the line joining minimizes the total path length and allows aligning its direction towards the *** choose the best compromise solution among all the non-dominated Pareto ones obtained for compromise objectives,the modified Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)is investigated.A set of homologous metaheuristics such as Multiobjective Salp Swarm Algorithm(MSSA),Multi-Objective Grey Wolf Optimizer(MOGWO),Multi-Objective Particle Swarm Optimization(MOPSO),and Non-Dominated Genetic Algorithm II(NSGAII)is used as a basis for the performance *** results and statistical analyses show the superiority and effectiveness of the proposed MOMVO-based planning *** obtained results are satisfactory and encouraging for future practical implementation of the path planning strategy.

关键词： Quadrotors path planning dynamic obstacles multi-objective optimization global metaheuristics TOPSIS decision-making Friedman statistical tests

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Optimal Selection of Hybrid Renewable Energy System Using Multi-Criteria Decision-Making Algorithms

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Computers, Materials & Continua 2021年第8期68卷 2001-2027页

作者： hegazy rezk Irik Z.Mukhametzyanov Mujahed Al-Dhaifallah Hamdy A.Ziedan College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911KSA Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt Center for Strategic and Interdisciplinary Research Ufa Federal Research Centre of the Russian Academy of SciencesUfa450054Republic of BashkortostanRussia Department of Systems Engineering King Fahd University of Petroleum&MineralsDhahran31261KSA Department of Electrical Engineering Faculty of EngineeringAssiut UniversityAssiut71518Egypt

Several models of multi-criteria decision-making(MCDM)have identified the optimal alternative electrical energy sources to supply certain load in an isolated region in Al-Minya City,*** load demand consists of water pumping system with a water desalination *** options containing three different power sources:only DG,PV-B system,and hybrid PV-DG-B,two different sizes of reverse osmosis(RO)units;RO-250 and RO-500,two strategies of energy management;load following(LF)and cycle charging(CC),and two sizes of DG;5 and 10 kW were taken into *** attributes,including operating cost,renewable fraction,initial cost,the cost of energy,excess energy,unmet load,breakeven grid extension distance,and the amount of CO_(2),were used during the evaluation *** estimate these parameters,HOMER®software was employed to perform both the simulation and optimization *** different weight estimation methods were considered;no priority of criteria,based on a pairwise comparisons matrix of the criteria,CRITIC-method,and entropy-based *** main findings(output results)confirmed that the optimal option for the case study was hybrid PV-DG-B with the following specification:5 kW DG,RO-500,and load following control *** this condition,the annual operating cost and initial costs were$5546 and$161022,respectively,whereas the cost of energy was 0.077$/*** excess energy and unmet loads were 40998 and 2371 kWh,*** breakeven grid extension distance and the amount of CO_(2) were 3.31 km and 5171 kg per year,*** with DG only,the amount of CO_(2) has been sharply reduced by 113939 kg per year.

关键词： Al-Minya city(Egypt) energy efficiency multi-criteria decision-making optimization renewable energy reverse osmosis units

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Optimal Implementation of Photovoltaic and Battery Energy Storage in Distribution Networks

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Computers, Materials & Continua 2021年第11期69卷 1463-1481页

作者： Hussein Abdel-Mawgoud Salah Kamel hegazy rezk Tahir Khurshaid Sang-Bong Rhee Department of Electrical Engineering Faculty of EngineeringAswan University81542 AswanEgypt College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz University11911 Al-KharjSaudi Arabia Electrical Engineering Department Faculty of EngineeringMinia University61517 MiniaEgypt Department of Electrical Engineering Yeungnam UniversityGyeongsan38541Korea

Recently,implementation of Battery Energy Storage(BES)with photovoltaic(PV)array in distribution networks is becoming very popular in overall the *** PV alone in distribution networks generates variable output power during 24-hours as it depends on variable natural *** can be able to generate constant output power during 24-hours by installing BES with ***,this paper presents a new application of a recent metaheuristic algorithm,called Slime Mould Algorithm(SMA),to determine the best size,and location of photovoltaic alone or with battery energy storage in the radial distribution system(RDS).This algorithm is modeled from the behavior of SMA in *** the optimization process,the total active power loss during 24-hours is used as an objective function considering the equality and inequality *** addition,the presented function is based on the probabilistic for PV output and different types of system *** candidate buses for integrating PV and BES in the distribution network are determined by the real power loss sensitivity factor(PLSF).IEEE 69-bus RDS with different types of loads is used as a test *** effectiveness of SMA is validated by comparing its results with those obtained by other well-known optimization algorithms.

关键词： Slime mould algorithm optimization distribution networks renewable energy uncertainty

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