
Abdelghani HarragFerhat Abbas University of Setif · Department of Electrical Engineering Faculty of Technology
Abdelghani Harrag
Professor
PV, Wind, Fuel cell, TEG, Microgrids control and communication, Smart grids
About
127
Publications
14,588
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1,530
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Introduction
Prof. Dr. A. Harrag was born in Setif, Algeria. He received BSc, Magister and PhD Degrees in Electronics from Ferhat Abbas University (UFAS), Setif, Algeria where he works currently as Full Professor. He is a reviewer for several international journals IEEE, Elsevier, Springer, Wiley, Francis and Taylor, ...etc as well as member of several international conferences scientific committees. He is the head of the Mechatronics laboratory and the renewable energy team leader.
Publications
Publications (127)
In this paper, we propose a particle swarm optimization technique for the characterization of the equivalent electrical model of photovoltaic cell. The three diodes model with nine parameters is considered. The particle swarm optimization algorithm is used as a tool for the extraction of the model parameters by reaching the global minimum solution...
Special issue that will
cover, but not only the following topics:
• Control techniques of complex engineering systems
• Fault detection, diagnosis, and prognosis in engineering systems
• Condition monitoring and maintenance of plants and complex systems
• Reliability and maintainability engineering of fault-tolerant control systems
• Testing and...
In this paper, a speed estimation control of permanent magnet synchronous machine (PMSM) based on Field Oriented Control (FOC) is developed. This control method is used to control the motor to behave such as DC Motor. However, the speed estimation approach is based on the Extended Kalman Filter (EKF) observer to avoid the sensor cost and failures....
A Mobile Ad-hoc Network (MANET) is a group of active mobile nodes wirelessly connected in a self-configuring and self-healing network without a preexisting centralized infrastructure. Several studies have been conducted to improve the stability and lifetime of routes for communicating between source and destination nodes, integrating new techniques...
This research work studies the control of a wind
energy conversion system (WECS) based on Permanent Magnet
Synchronous Generator (PMSG). In order to enhance the
efficiency of the wind turbine system, the maximum power point
tracking (MPPT) control is integrated for exploiting the
maximum available power from the wind. Two types of
controllers have...
Recently, the concept of micro grid is rapidly growing with the high penetration of renewable energy sources, which bring some problems highlighting the necessitate of a robust controls technique of power system to ensure the operation of system under different conditions. This paper presents the modelling and simulation of micro grid operating in...
This paper presents a methodology for the analysis and simulation of the effect of operating large photovoltaic (PV) plants, in coordination, as static synchronous compensators (STATCOM). The goal is to improve voltage profiles at different load nodes and reduce power losses in transmission lines. The proposed approach takes into account the varyin...
This work is focused on the control of a wind turbine system based on (PMSG). In order to enhance the efficiency of the wind turbine system, the maximum power point tracking (MPPT) control is applied to exploit the maximum power from the wind. The Fuzzy Logic controller (FLC) has been proposed and developed for the speed control. The simulation res...
In this study, a renewable energy-based hybrid system was designed capable of meeting known electrical load requirements, as the system includes a combination of photovoltaic cells (PV), a fuel cell, batteries, an electrolyzer, and a hydrogen tank. This hybrid system supplies the cell tower located in the village of Ouanougha, country of Algeria wi...
The measurement of solar radiation and its forecasting at any particular location is a difficult task as it depends on various input parameters. So, intelligent modeling approaches with advanced techniques are always necessary for this challenging activity. Adaptive neuro-fuzzy inference system ( A N F I S ) based on modeling plays a vital role in...
The proportional resonant (PR) controller is a real alternative to the standard proportional integral (PI) controller referring to its effectiveness and superior performance when controlling sinusoidal waveforms and its capacity to compensate for low order harmonics using the harmonic compensator (HC). The resonant frequency value is required for b...
This special session deals with the issue of control and diagnosis of power conversion systems for different applications (stationary or embedded). Indeed, to obtain a high performance of these systems, an optimal control is necessary and to ensure the reliability of these system the diagnosis is an important step to detect the defects (electrical...
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As the interface between distributed generators and loads, voltage source inverters (VSI) are the key elements of microgrids systems, VSI’s are used to convert the dc power into ac power and supply the entire micro-grid (MG), the pulse width modulation (PWM) used to control VSIs generate a high amount of harmonic components which causes the harmoni...
This paper presents a fuzzy-based decentralized secondary control for frequency restoration and active power-sharing in an islanded microgrid, this controller uses the local frequency error to generate an extra term for compensating the deviation and maintaining accurate active power-sharing. No communication infrastructures are needed, event detec...
This paper outlines an innovative way in the assessment of proton exchange membrane fuel cell maximum power point tracking using Matlab/Stateflow implementation of variable step size version of perturb and observe and incremental conductance maximum power point tracking algorithms. In this study, the perturb and observe as well as the incremental c...
The virtual synchronous generator (VSG) concept is one of the promising solutions to facilitate the integration of the renewable DG into microgrid. It consists in controlling the inverter-based DG to mimic synchronous machine characteristics leading to the grid stability improvement in case of high penetration level of renewable energy into the mic...
Recently, the rapid advancement technologic of photovoltaic system with storage system based on batteries has taking great consideration. However, their low life time, limited power sizing and low efficiency are the most drawbacks, to overcome these previous disadvantages, new PV system based superconducting magnetic energy storage (SMES) has been...
2019-2020 Top cited article in the Wiley International Journal of Numerical Modeling: Electronics Networks, Devices and Fields
The output power of the fuel cell depends on the operating conditions, such as the temperature and membrane water content. Therefore, a robust maximum power point tracking (MPPT) approach is highly required to ensure the operation of the proton exchange membrane fuel cell (PEMFC) at the maximum power point. A new hybrid perturb & observe and type-2...
Among several types of fuel cells available in the market, proton exchange membrane fuel cell (PEMFC) is characterized by low operating temperature, high efficiency and long lifetime. These advantages have prompted the PEM fuel cell to enter into several applications such as vehicle power sources, portable power and backup power applications. Howev...
The autonomous operation mode of paralleled inverters in microgrids can be intentional or unintentional in order to ensure the continuity of supply. In this mode the voltage and frequency magnitudes are held by local controllers using droop control, this latter is generally considered to be the most adopted technic for the primary layer in a multil...
In consequence of increasing global energy consumption, the environmental problems such as pollution and the drain of conventional energy resources such as coal, gas and liquefied petrol. To tame this by implementing seeming technology of renewable energy, hydrogen is one of the promising alternative fuels for the future because it has the capabili...
A robust type‐2 fuzzy logic (FL)‐based approach for maximum power point tracking (MPPT) is proposed in this work. The method is used to increase the energy efficiency of thermoelectric generators (TEGs). Type‐2 FL was applied to adapt the variable step size of incremental resistance (INR) MPPT to track the maximum available power of a TEG. The outp...
In consequence of increasing global energy consumption, the environmental problems such as pollution and the drain of conventional energy resources such as coal, gas and liquefied petrol. To tame this by implementing seeming technology of renewable energy, hydrogen is one of the promising alternative fuels for the future because it has the capabili...
This paper presents a new neural network single sensor maximum power point tracking algorithm controlling the DC-DC boost converter to guarantee the transfer of the proton exchange membrane fuel cell maximum generated power to the load. The implemented neural network single sensor controller has been developed and trained firstly in offline mode us...
Electric Power Systems Research Certificate of Reviewing
IJHE Certificate of Reviewing
This work is focused on the control of a wind turbine system based on (PMSG). In order to enhance the efficiency of the wind turbine system, the maximum power point tracking (MPPT) control is applied to exploit the maximum power from the wind. The Fuzzy Logic controller (FLC) has been proposed and developed for the speed control. The simulation res...
Among the renewable energy sources, photovoltaics seems to be the most promising source. It has the advantage of being available everywhere, friend of the environment and easily maintainable. Nevertheless, the major disadvantages are high manufacturing cost, low energy conversion efficiency and non-linear characteristics. On the other hand, the fue...
This study investigates the analysis and modeling of solar tracking system in order to maximize the output power of PV systems by tracking continually the sun position to detect the maximum of solar radiation. The developed man-machine interface using the Matlab guide allows the computation of sun position as well as the PV system position. In addi...
This paper investigates a new droop control approach for accurate reactive power sharing of parallel inverters in islanded microgrid. The conventional active power-frequency droop and the reactive power-voltage magnitude droop control are widely used to share the total load demand among parallel distributed generators (DGs) according to their power...
Voltage source inverters (VSIs) are key elements of microgrids (MGs), their control presents an important challenge in order to ensure the system stability. In this paper, a modeling and hierarchical control of single-phase paralleled VSIs forming a MG is presented. The diagram of the hierarchical control consists of inner, primary, and secondary c...
This paper addresses the development of three-phase grid connected fuel cell energy system using Matlab/Simulink Stateflow environment. The proposed grid connected fuel energy system designed by considering a 5.5kW proton exchange membrane fuel cell connected to the grid via a double stage including a DC-DC boost converter and three phase inverter....
Control systems for voltage sources inverters (VSIs) in distributed generators systems (DGs) and microgrids (MGs) can be divided into two categories refers to their tasks, inner loops (level zero) which allows local voltage and current control and outer control loops (primary control) for ensuring power-sharing control, inner loops are structured u...
To allow a high penetration of the renewable energy into the grid,
Distributed Generator (DG) based Virtual Synchronous Generator (VSG) control
technique has been proposed. DG units are often connected to low and medium
line voltage, where the impedance line is not purely inductive. The active and reactive powers are nonlinear functions, which make...
Although the great advance in power system production and operation, storage energy technologies and its control techniques can be considered as one of the most important and critical topics of power companies , government and consumers, especially when the power system containing renewable source and storage system simultaneously. In this paper, a...
Microgrid systems are becoming a very promising solution to meet the power demand growth especially in remote areas where diesel generators (DG) are commonly used as a main energy source. Photovoltaic (PV) systems are commonly used as a sustainable energy source to economize DG fuel. Due to the intermittent and fluctuating behavior of PV generators...
The "Alayn Adhakia" provides a direct solution by detecting the wearing (or not wearing) of the mask via images or videos analyzed by artificial intelligence. "Alayn Adhakia" makes it possible to detect in a scene or a screenshot of individuals or crowds of people who wear or do not wear masks for the purposes of detection, identification, statisti...
The CoVID-19 Certificate generator system is a Web/Mobile platform allowing the generation and authentication of electronic movement certificates. It gives the possibility of an instant verification of the certificates generated by the authorized authorities via the use of an adequate reading device. It thus solves the various problems of establish...
The AI-CoVID19 X-Ray Test System platform is an intelligent Web/Mobile decision support application based on artificial intelligence. It uses only the digital X-ray taken standard radiographs (in JPG or PNG format) available everywhere within private or public practitioners. It allows testing and even early detection of COVID-19.
The AI-CoVID19 Web/Mobile platform allowing the rapid detection of CoVID19 by an intelligent analysis of a recorded sound file. It can be associated with other functions or commands, digital or electronic, which control the actions to be performed downstream and/or upstream of the screening. The platform can also send notifications via any transmis...
Description: The CoVID-19 Traceability system is a Web/Mobile platform The system manages the allocation of activity or traffic authorizations through the generation of unique codes. It allows access to any private or public space or building to be controlled by displaying and reading the code generated through a connected or unconnected electronic...
Water is a vital resource for life as well as for the majority of energy industries. Finding a way to manage this water sustainably is essential at a time when the world’s water resources are already under increasing stress due to population growth and global warming. As a direct implication, saving water is coming very crucial. This work deals wit...
Cam-follower is one of the simplest and the most important mechanisms
found in modern machinery today. It is widely used in mechanical devices
and machines especially those of the automatic type, such as printing
presses, textile machinery, gear-cutting machines, screw machines and automobile engines. From a design perspective, optimization has a g...
This article presents an application of six recent intelligence methods to select the optimal geometry parameters of a ball bearing pivot link problem.
The algorithms used here are: firefly algorithm (FA), cuckoo search (CS),
whale optimization algorithm (WOA), krill herd (KH) algorithm, bat algorithm (BA), and moth-flame optimization (MFO). The fi...
This article presents an application of six recent intelligence methods to select the optimal geometry parameters of a ball bearing pivot link problem.
The algorithms used here are: firefly algorithm (FA), cuckoo search (CS),
whale optimization algorithm (WOA), krill herd (KH) algorithm, bat algorithm (BA), and moth-flame optimization (MFO). The fi...
In this paper, two intelligent control techniques applied on Wind Energy
Conversion Systems (WECS) have proposed and tested, the first uses a novel FLC
MPPT, Fuzzy Logic MPPT Controller extracting the highest power of wind
turbine. The second controller is an artificial neural network controller applied to
doubly-fed induction generator to improve...
In this paper, new improved maximum power point tracking using combinedbackstepping -
sliding mode has been designed and studied, it is very known that the sliding mode control
provides a good performance, however the charting (oscillation) is the most drawback of this
method. So, to overcome the previous dilemma, a novel combined MPPT employing
ba...
In this paper, a neural network maximum power point tracking controller has been proposed in order to improve the performance of photovoltaic water pumping system. The proposed neural network MPPT controller has been trained using inputs and output data collected using conventional P&O algorithm. The efficiency of the proposed algorithm has been st...
Although the numerous advantages of wind turbine, the nonlinear characteristic (P–O) providing a unique maximum power point is the most drawbacks. Therefore a maximum power point tracker is usually adopted, which the Tip-Speed ratio, the perturbation and observation and the optimum torque control methods are widely used. In this article, a novel ne...
This paper addresses the design of a robust Maximum Power Point Tracking (MPPT) controller for a small wind
energy conversion system fed by a Permanent Magnet Synchronous Generator (PMSG). The proposed MPPT
controls the generator rectified voltage instead of the rotational speed avoiding the need for a mechanical sensor.
Traditionally, this control...
Virtual synchronous generator (VSG) control technique presents a promising alternative for controlling the inverter-based distributed generator (DG), due to its capability to improve the microgrid stability when the renewable energy has a high penetration level into the grid. The analyses and parameters design of the active and reactive power loop...
This paper proposes an innovative technique for designing sliding mode maximum power point tracking (MPPT) controller for photovoltaic (PV) systems under fast changing atmospheric conditions. The particle swarm optimization (PSO) algorithm is used to find the optimal sliding mode controller (SMC) gains used to drive the variable step of the convent...
This paper proposes a novel single sensor variable step size maximum power point tracking (MPPT) method for proton exchange membrane (PEM) fuel cell. This paper is a first, if modest, attempt to develop a single sensor MPPT for fuel cell systems. The proposed MPPT algorithm uses only one sensor to track the maximum power of PEM fuel system composed...
The problem of routing in ad hoc networks, in particular proactive routing, has attracted the attention of many researchers. Although the protocols proposed in the literature present some relevant characteristics, they also have their limitations, especially in terms of high number of mobile nodes or in terms of high number of load-dependent parame...
In this paper, a novel maximum power point tracking (MPPT) strategy of photovoltaic system has been proposed and investigated. The suggested method is based on modified variable step-size perturbation and observation P&O strategy, which it can overcome several drawbacks and limitations of previous developed MPPT methods especially oscillations arou...
In this paper, P&O and IC MPPT controllers have been proposed and investigated using the Matlab Stateflow models. The proposed MPPT controllers have been tested and validated using Matlab/Simulink models under different scenario tests including irradiation change, temperature change and step size change. Results and analysis show that the proposed...
In this paper, a combined fuzzy-IC variable step size MPPT controller has been proposed. The proposed MPPT uses the classical IC algorithm where the step size is drived using a fuzzy logic controller. The MPPT controller has been tested and validated under Matlab/Simulink environment where the model of the system including a Solarex MSX-60W module...
This paper addresses the development of a Neuro-Fuzzy IC variable step size MPPT controller. Firstly, the proposed MPPT controller is developed in an offline mode required for testing different set of neural network architectures and parameters, using the Fuzzy-based IC variable step size MPPT data. Secondly, the optimal found neural network contro...
This paper concerns the study and simulation of a PV array self-organizing configuration. It introduces a new method to reconfigure the PV array using a genetic algorithm in order to maximize the output power as well as reducing the number of switching. The proposed method involves the simulation of a PV array composed of 16 panels 4 strings with 4...
In this paper, a variable step size P&O algorithm is used in order to improve the performance of a photovoltaic system in both dynamic and static plans. The efficiency of the proposed algorithm has been investigated successfully using the BP SX150S solar module connected to the DC-DC derived by a P&O MPPT algorithm. The comparative study results of...
In recent years, a variety of new routing protocols for MANETs have been developed. Zone routing protocol is one of them, which is a hybrid routing protocol that combines the best futures of proactive and reactive approaches. The proactive part of the protocol maintains routing information for a local neighborhood, known as routing zone, while the...
In this paper, a new MPPT controller based on variable step size fuzzy controller have been proposed and investigated. The performance of the proposed algorithm are analyzed under different atmospheric conditions using Matlab/Simulink environment using boost DC-DC converter connected to Solarex MSX-60 panel. The results have demonstrated the high p...
In this paper, a new modified variable step P&O maximum power point
tracking algorithm using Proportional-Integral-Derivative controller tuned by particle swarm optimization is proposed. The classical fixed step P&O algorithm has good performances due to its simplicity and easy implementation; however, failing and inefficiency especially in case of...
In this paper, a variable step size IC MPPT controller for the proton exchange membrane fuel cell (PEMFC) power system is proposed. The efficiency of the proposed algorithm has been studied successfully using a 7 kW PEMFC fed by DC-DC boost converter derived using the proposed MPPT controller implemented under Matlab/Simulink environment. Compariso...
Proton Exchange Membrane Fuel Cell (PEMFC) is one of the most promising technologies for sustainable energy
production due to the high power density, low operative temperature and more convenient use for several
applications. Nevertheless, the high generated current that characterizes PEMFC requires a specific power
conditioning. In addition, speci...