
Aymen FlahNational Engineering School of Gabes · electric and automatic
Aymen Flah
Associate professor in electrial engineering and Head of carrier center and skills certification 4C in ENIG
looking for research projects and collaboration in the fields of renewable energy and electric vehicle.
About
114
Publications
123,096
Reads
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714
Citations
Citations since 2017
Introduction
Dr. Flah Aymen received his Ph.D. in 2012 from the national school of engineering of gabes, specializing in electrical engineering. Dr Flah is currently an assistant professor of electrical engineering, at national school of engineering of gabes.
He is currently selected as an associate editor in more than international journal as the international journal of powertrain, He was selected in the organization comity of international conferences as lSAECT 2018 and 2019.
Additional affiliations
June 2019 - present
journal of network and telecommunications
Position
- Editor
April 2018 - present
International Journal of Powertrains
Position
- Editor
Description
- http://www.inderscience.com/jhome.php?jcode=IJPT#edboard
April 2015 - present
IGI Global
Position
- Consultant
Education
September 2009 - June 2012
University of Gabès, National school of engineering of Gabès
Field of study
September 2007 - October 2009
University of Gabès, National school of engineering of Gabès
Field of study
September 2004 - October 2007
University of Gabès, National school of engineering of Gabès
Field of study
Publications
Publications (114)
This paper deals with an online motor parameters estimation algorithm. The proposed
estimator algorithm is implemented on an electrical vehicle prototype, in order to discern the
influence of the speed variation on the motor parameters, such as stator resistance and inductance
and on the magnet used in the rotor, especially at a high speed mode. Th...
In this paper, an improved robust vector control strategy is designed to drive the Permanent magnet synchronous motor in a wide speed range mode. The designed control methods guarantee the and robustness of speed regulation performance by using
recurrent neural network architecture. The stator current controller parameter tuning problems, which cha...
This paper deals with a new high speed direct torque control method applied on the permanent magnet synchronous motor. This high speed control algorithm is characterized by its efficiency and it's adaptation to the motor parameters variations. Based on the field weakening principle and on the model reference adaptive system (MRAS), this algorithm i...
This paper is a proposal of a modified internal
model control based on an intelligent technique. The indirect
field oriented control strategy (IFOC) is used as a permanent
magnet synchronous motor (PMSM) drive platform. Neural
network controller and estimator are respectively added
to replace the conventional speed regulator and the speed
encoder i...
This paper deals with online permanent magnetic synchronous motor (PMSM) parameters estimation based on the POPOV hyperstability theory. The three main PMSM parameters; such as stator, resistance, inductance and the permanent magnet flux, are estimated. To overcome drawbacks of the so used manually adjusted MRAS PI mechanism parameters, an online p...
In present day power systems, Power Quality (PQ) issues are causing great concern owing to the increased use of power electronic controlled drives and fluctuating and other non-linear loads. This problem is further aggravated by a steady increase in the integration of renewable energy-based Distribution Generation (DG), employing power electronic c...
Energy harvesting from renewable energy sources is trending in the world due to inventions in modern technology. This paper proposes a grid-tied single-phase modified W-type 81-level inverter. Inverter design equations to calculate various parameters, such as the number of voltage levels and the number of DC power sources, along with the feedback c...
Today, with the increasing penetration of microgrids, the degree of complexity and non-linearity of power systems has increased, causing conventional and inflexible controllers not to perform well in a wide range of operating points. In this paper, a self-tuning proportional-integral (PI)-controller based on a soft computation of a combination of g...
The emissions of polluting gases due to the consumption of fossil fuels in power plants have caused that in addition to operating costs, minimizing the amount of pollution in power plants is also given special attention. In this study, the hybrid firefly algorithm (FA) and genetic algorithm are used to solve the problem of environmental economic di...
To lessen the amount of energy lost during transmission, electricity is increasingly being sent using high-voltage lines. Transmission loss in a DC system is lower than in an AC system over long distances. The DC system can improve the efficiency of long-distance transmission by connecting power grids with different requirements. The DC method is b...
Over the years, the automation of traditional power grids has been taking place to overcome the difficulties such as blackouts, outages, demand-side management, load profiling, enhancing customer participation, etc. This automation enables the traditional grids to be transformed into smart grids. Smart homes/buildings are key sub-categories of smar...
An efficient power control technique for inverter-based distributed generation (DG) in an islanded microgrid is investigated in this work. The objective is to raise the caliber of the electricity pumped from network-connected DGs. The characteristics that are taken into consideration include voltage and frequency control, dynamic response, and stea...
One of the most important conditions for the efficient operation of solar power plants with a large installed capacity is to ensure the systematic monitoring of the surface condition of the photovoltaic modules. This procedure is aimed at the timely detection of external damage to the modules, as well as their partial shading. The implementation of...
Demand-side management (DSM) is a significant component of the smart grid. DSM without sufficient generation capabilities cannot be realized; taking that concern into account, the integration of distributed energy resources (solar, wind, waste-to-energy, EV, or storage systems) has brought effective transformation and challenges to the smart grid....
Discrimination of different DC faults near a converter end of a DC section consisting of a filter, a smoothing reactor and a transmission line is not an easy task. The faults that occur in the AC section can be easily distinguished, but the internal and near-side external faults in the DC section are very similar, and the relay may cause a false tr...
Power transformers are a fundamental component of the modern power distribution network. The fault-free operation of step-up and step-down transformers is of prime importance to the continuous supply of electrical energy to the consumers. To ensure such efficient operation, power distribution companies carry out routine maintenance of distribution...
High-quality data are always desirable for superior decision-making in smart buildings. However, latency issues, communication failures, meter glitches, etc., create data anomalies. Especially, the redundant/duplicate records captured at the same time instants are critical anomalies. Two such cases are the same timestamps with the same energy consu...
The speed control of induction machines for multiple-speed handling is critical. When the vector control method is applied to induction machines, it has a significant impact on speed utilization. This strategy of operating the machine at a fixed predefined speed mode presents better results for electric vehicles. An effective model for a speed cont...
Cluster microgrids are a group of interoperable smart microgrids, connected in a local network to exchange their energy resources and collectively meet their load. A microgrid can import/export energy to the neighboring microgrid in the network based on energy deficit/availability. However, in executing such an operation, a well-established communi...
One of the most reliable and advanced renewable energy sources is wind energy. It is critical to harness as much wind energy as possible and maintain wind turbines operating at full capacity. Maximum power point tracking (MPPT) is a cutting-edge study that incorporates a variety of approaches. Because each MPPT technique has its own set of advantag...
With the emergence of smart appliances and communication infrastructures, Home Energy Management Systems have gained importance to help home users to reduce their electricity bills. A Home Energy Management System is a tool able to optimally coordinate the different home assets such as controllable appliances, onsite generators and storage faciliti...
In this paper, the amount of microgrid frequency deviation in the dynamic state can be reduced by improving the frequency controller and implementing a new method. The proposed controller is designed for a microgrid including renewable resources, and the proposed control strategy is such that the controller coefficients are adjusted and optimised a...
In power systems, contingencies and outages are more frequent nowadays due to climate changing effects. This circumstance along equipment aging may lead to unexpected failures and outages in power and energy systems. This issue is especially critical in isolated microgrids, which must be supplied by means of own resources and onsite assets. In thes...
In this study, an investigation of different faults for a wind turbine-based doubly fed induction generator (DFIG) system is studied and the performance using a static compensator (STATCOM) is observed. The DFIG network is connected to a voltage source converter high-voltage dc link with a fault occurring near the wind generator network. The ride t...
n this paper, battery electric vehicle (BEV) controllers are smartly tuned with particle swarm optimization (PSO) and genetic algorithm (GA) to ensure good speed regulation. Intelligent tuning is ensured with a proposed and well-defined cost function that aims to satisfy the design requirements in terms of minimum overshoot, fast response, and tole...
In this paper, battery electric vehicle (BEV) controllers are smartly tuned with particle swarm optimization (PSO) and genetic algorithm (GA) to ensure good speed regulation. Intelligent tuning is ensured with a proposed and well-defined cost function that aims to satisfy the design requirements in terms of minimum overshoot, fast response, and tol...
An important issue in power systems is the optimal operation of microgrids with demand-side management. The implementation of demand-side management programs, on the one hand, reduces the cost of operating the power system, and on the other hand, the implementation of such programs requires financial incentive policies. In this paper, the problem o...
Nowadays the utilization of Electric Vehicles (EVs) has greatly increased. They are attaining greater attention due to their impacts on the grid at the distribution level. However, due to the increased need for electricity, EVs are also used to serve the load in the instance of electrical failure in the distribution systems. This paper presents a n...
Steady increase in electricity consumption, fossil fuel depletion, higher erection times of conventional plants, etc., are encouraging the use of more and more onsite renewable energy. However, due to the dynamic changes in environmental factors as well as the customer load, renewable energy generation is facing issues with reliability and quality...
In the coming years, major transportation sectors will be electrified, in which more accessible and easy solutions for charging Electric Vehicles (EVs) become vital. Wireless charging is considered one of the best and easiest methods to charge EVs anywhere, even during the driving of cars. To get accurate charging power rates while charging wireles...
In this paper, a two-level model for probabilistic microgrid scheduling, considering the uncertainties of electricity price and predicted load, is present for microgrid performance in both island mode and connection to the main grid. The two-level model of ideal microgrid scheduling using the Banders decomposition method is decomposing into the mai...
Renewable energy resources appear to be on their way to become an alternate energy source for power generation in the near future. The main prototypes that were found to be suitable inside the planet are photovoltaic panels and wind systems. Wind energy and solar energy always existing. Concentrating on the wind energy system, this paper tries to d...
An isolated micro-grid has different requirements from the traditional power grids. Several energy sources may be linked for the purpose of sharing load demand without being linked to the grid. The isolated micro-grid is made up of at least one energy generator, an energy storage system, and a load portion. Because there are several energy sources...
This paper deals with an energy management problem to ensure the best performance of the recharging tools used in electric vehicles. The main objective of this work is to find the optimal condition for controlling a hybrid recharging system by regrouping the photovoltaic cells and fuel cells. The photovoltaic and fuel cell systems were connected in...
Grid Integration using Hybrid Renewable Energy Sources is rapidly growing its importance to meet the energy demand. This design creates mainly Power Quality issues (PQ) due to the existence of nonlinear loads. To solve the PQ problems and compensate for the issues, this paper proposes Biogeography-Based Optimization (BBO) controller with Unified Po...
The induction motor (IM) is considered to be one of the most important types of motors used in industries. A sudden failure in this machine can lead to unwanted downtime, with consequences in costs, product quality, and safety. Over the last decade, several methods and techniques have been proposed to diagnose and detect faults in induction machine...
In this paper, a vector control system a permanent magnet synchronous motor (PMSM) for an electric vehicle is proposed. Recent studies have shown that for some high-performance servo applications, PMSM can be a serious competitor face the induction machine (IM). The PMSM mathematical model is created based on Park and Clarke transformations. This i...
Many energy sources can be connected for sharing in feeding the load demand without the need to be connected to the grid. Principally, an isolated Mini-grid contains at least one energy generator, energy storage system and load section. In the energy sources is a multiple and a variety of models exist, the power flow must be controlled for assuring...
The effectiveness of inductive power transfer (IPT) presents a serious challenge for improving the global recharge system performance. An electric vehicle (EVs) needs to be charged rapidly and have maximum power when it is charged with wireless technology. Based on various research, the performance of this recharge system is attached to several poi...
Presently, due to the establishment of a sensor network, residual buildings in urban areas are being converted into smart buildings. Many sensors are deployed in various buildings to perform different functions, such as water quality monitoring and temperature monitoring. However, the major concern faced in smart building Wireless Sensor Networks (...
An intelligent control strategy is proposed in this paper which suggests the Optimum Power Quality Enhancement (OPQE) of grid-connected hybrid power systems with solar photovoltaic, wind turbines, and battery storage. Unified Power Quality Conditioner with Active and Reactive power (UPQC-PQ) is designed with Atom Search Optimization (ASO) based Fra...
In this paper, a dual stator induction machine is studied. This nonlinear system is built on the Matlab Simulink tool to test the efficiency of the direct torque control loop for controlling this complicated system. It makes the speed and torque tracking more comfortable. On the other side, it is mandatory to assure the independence of the electric...
This paper introduces a novel control strategy of fractional order (FO) fuzzy (F) PID (FOFPID) controller optimized with the latest soft computing technique of seagull optimization algorithm (SOA) for power system frequency regulation. Initially, a simple and widely accepted power system of dual area photovoltaic (PV) and reheat thermal (RT) (PVRT)...
Hybrid Renewable energy sources (HRES) are rapidly increasingly compared to the traditional system since they are less effective to the environment and meet the huge demand required by the utilities. In the proposed paper the modelling, control and design analysis is implemented with PV, wind and battery as an energy storing device. The grid-interf...
Distributed generation (DG) is increasing in day to day life to meet the global energy consumption demand. One of the major problems with such DG is islanding. The islanding is caused in the grid connected system when a part of DG is disconnected from the main grid and continues to feed the load connected. As per the IEEE 1547 DG interconnection st...
This research focuses on a photovoltaic system that powers an Electric Vehicle when moving in realistic scenarios with partial shading conditions. The main goal is to find an efficient control scheme to allow the solar generator producing the maximum amount of power achievable. The first contribution of this paper is the mathematical modelling of t...
This paper presents a straightforward power management algorithm that supervises the contribution of more than one energy source for charging a vehicle, even if the car is in motion. The system is composed of a wireless charging system, photovoltaic (PV) generator, fuel cell (FC), and a battery system. It also contains a group of power converters a...
Recently, most transportation systems have used an integrated electrical machine in their traction scheme, resulting in a hybrid electrified vehicle. As a result, an energy source is required to provide the necessary electric power to this traction portion. However, this cannot be efficient without a reliable recharging method and a practical solut...
Electric vehicle seems largely based on electrical machines. Finding the best motor type seems be important for having more performances and a transport system robustness. In this work, we present an analytical model of the synchronous machine with variable reluctances in linear and saturated modes. The angular position of the rotor (θ) and the pha...
Grid Integration using Hybrid Renewable Energy Sources is rapidly growing its importance to meet the energy demand. This design creates mainly Power Quality issues (PQ) due to the existence of nonlinear loads. To solve the PQ problems and compensate for the issues this paper proposes Biogeography Based Optimization (BBO) controller with Unified Pow...
Shunt active power filter (SAPF) belongs to the class of custom power devices (CPDs) and offers compensation to harmonics originated owing to customer side nonlinear loads, reactive power and unbalance in the distribution power networks functioning in current control mode (CCM). The performance of a SAPF as a harmonic compensator entirely relies on...
This chapter deals with the problem of energy storage inside an electric vehicle. The main source of energy is based on a wireless system. This recharge tool regroups inside several components as the storage system, which consists of an ensemble of batteries and serving as the main power source, a special electronic converter that is based on the b...
The transportation systems have become more electrified, and the major countries of the world program using electric scooters, electric bicycles, electric trains, electric buses, and electric vehicles for their transport. The traditional energy resource stocks are still decreasing rapidly, which makes the world afraid about the future of the transp...
There has been a rapid adoption of electric vehicles (EVs), and the industry has been looking for the most enhanced traction system to improve performance and reliability. Such specifications are mostly dependent on the magnetic materials for brushless DC or AC machines, and typically EVs are manufactured with those machines. In the past two decade...
Electrical cars and hybrid electric vehicles are usually based on an electrical machine. It is widely used in the traction phase and in some particular applications during the recharging phase. Knowing the various forms and their advantages and disadvantages will enhance the transport infrastructure and improve global performance. This paper presen...