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Aymen Flah

Bio: Aymen Flah is an academic researcher from University of Gabès. The author has contributed to research in topics: Computer science & Microgrid. The author has an hindex of 8, co-authored 14 publications receiving 147 citations.

Papers
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Proceedings ArticleDOI
01 Nov 2014
TL;DR: In this article, a review of state-of-the-art on electric vehicle concept giving description for each sub-category, and then details power management strategies and charging techniques highlighting main problems and solutions.
Abstract: Power management in electric Vehicle has been revolutionized since the old power structure introduced with first EVs. Today, it can be powered either by a single or a combination of multiple sources and driven by a single or a combination of multiple algorithms. This enhancement contributes in significantly better results. This paper reviews state-of-art on electric vehicle concept giving description for each sub-category, and then details power management strategies and charging techniques highlighting main problems and solutions. Finally, power management structure and future research direction are also discussed [1].

50 citations

Journal ArticleDOI
TL;DR: In this article , the authors proposed a concept of establishing a renewable-energy-based microgrid cluster by integrating various buildings located in an urban community, and a "fuzzy space vector pulse width modulation" (FSV-PWM) technique is proposed to control the inverter, which improves the power supply quality.
Abstract: An increased electricity demand and dynamic load changes are creating a huge burden on the modern utility grid, thereby affecting supply reliability and quality. It is thus crucial for modern power system researchers to focus on these aspects to reduce grid outages. High-quality power is always desired to run various businesses smoothly, but power-electronic-converter-based renewable energy integrated into the utility grid is the major source of power quality issues. Many solutions are constantly being invented, yet a continuous effort and new optimized solutions are encouraged to address these issues by adhering to various global standards (IEC, IEEE, EN, etc.). This paper therefore proposes a concept of establishing a renewable-energy-based microgrid cluster by integrating various buildings located in an urban community. This enhances power supply reliability by managing the available energy in the cluster without depending on the utility grid. Further, a “fuzzy space vector pulse width modulation” (FSV-PWM) technique is proposed to control the inverter, which improves the power supply quality. This work uniquely optimized the dq reference currents using fuzzy logic theory, which were used to plot the space vectors with effective sector selection to generate accurate PWM signals for inverter control. The modeling/simulation of the microgrid cluster involving the FSV-PWM-based inverter was carried out using MATLAB/Simulink®. The efficacy of the proposed FSV-PWM over the conventional ST-PWM was verified by plotting voltage, frequency, real/reactive power, and harmonic distortion characteristics. Various power quality indices were calculated under different disturbance conditions. The results showed that the use of the proposed FSV-PWM-based inverter adhered to all the key standard requirements, while the conventional system failed in most of the indices.

29 citations

Journal ArticleDOI
TL;DR: In this paper, a PV system topology incorporating maximum power point tracking controller (MPPT) is studied and applied and applied in this work, a special interest was focused on the well-known P&O algorithm.
Abstract: This paper presents an intelligent approach for improved the PV control performances. A PV system topology incorporating maximum power point tracking controller (MPPT) is studied and applied in this work. In order to perform this goal a special interest was focused on the well-known P&O algorithm. A comparative study between the P&O algorithm and the Artificial Neural Networks (ANN) controller is performed. This paper presents a detailed study of the MPPT controller to insure a high PV system performance which can be selected for practical implementation issue. A simulation work dealing with MPPT controller, a DC/DC Boost converter feeding resistive load is achieved. Significant extracted results are given to prove the validity of the proposed overall PV system control scheme.

21 citations

Journal ArticleDOI
TL;DR: Two configurations of electrical machine control for EVs are shown, the pros and cons are discussed, and corresponding mathematical models have been developed in order to enhance a Field Oriented Control (FOC) strategy, which has been analyzed and studied through MATLAB based simulations.

20 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined and compared two control techniques for extracting full power from the solar energy system, namely the classical perturbation and observation (P&O) method and the intelligent solution particle swarm optimization (PSO).
Abstract: A photovoltaic-powered electric vehicle is a complex system that necessitates the use of a high-performance control algorithm. This paper aims to boost the performance of a photovoltaic system by employing a suitable algorithm to control the power interface. The main goal is to find an effective and optimal control law that will enable the photovoltaic generator (GPV) to generate the maximum amount of power possible. The main facts dealt with in this article are the mathematical simulation of the photovoltaic system, its function, and its characteristics, considering the synthesis of the step-up converter and the analysis of the maximum power point tracking algorithm. This study examines and compares two control techniques for extracting full power from the solar energy system. These two techniques are the classical “perturbation and observation” (P&O) method and the intelligent solution “particle swarm optimization (PSO) method.” The PSO solution is tested for two versions: the online PSO version and the table PSO version. The Simulink/MATLAB tool is used for simulation and comparative experiments based on the performance metrics provided. The study revealed that smart technology delivers improved efficiency than the classic edition.

18 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, a photovoltaic (PV) system with a maximum power point tracking (MPPT) facility is presented, which is modeled and tested under MATLAB/SIMULINK environment.

98 citations

Journal ArticleDOI
TL;DR: Results demonstrate that the proposed SSA management strategy performed best compared with all other used strategies in terms of hydrogen fuel economy and overall efficiency.

95 citations

Journal ArticleDOI
TL;DR: In this paper, a comprehensive review of the current technologies, future trends and enabling technologies that will make possible next generation hybrid and full electric vehicle (HEV/EV) drive systems is presented.
Abstract: In recent decades, several factors such as environmental protection, fossil fuel scarcity, climate change and pollution have driven the research and development of a more clean and sustainable transport. In this context, several agencies and associations, such as the European Union H2020, the United States Council for Automotive Research (USCAR) and the United Nations Economic and Social Commission for Asia (UN ESCAP) have defined a set of quantitative and qualitative goals in terms of efficiency, reliability, power losses, power density and economical costs to be met by next generation hybrid and full electric vehicle (HEV/EV) drive systems. As a consequence, the automotive electric drives (which consists of the electric machine, power converter and their cooling systems) of future vehicles have to overcome a number of technological challenges in order to comply with the aforementioned technical objectives. In this context, this paper presents, for each component of the electric drive, a comprehensive review of the state of the art, current technologies, future trends and enabling technologies that will make possible next generation HEV/EVs.

86 citations

Journal ArticleDOI
TL;DR: In this article, a three-phase two-stage grid tied SPV (solar photo-voltaic) system is proposed, where the first stage is a boost converter, which serves the purpose of MPPT (maximum power point tracking) and feeding the extracted solar energy to the DC link of the PV inverter.
Abstract: This paper deals with a three-phase two-stage grid tied SPV (solar photo-voltaic) system. The first stage is a boost converter, which serves the purpose of MPPT (maximum power point tracking) and feeding the extracted solar energy to the DC link of the PV inverter, whereas the second stage is a two-level VSC (voltage source converter) serving as PV inverter which feeds power from a boost converter into the grid. The proposed system uses an adaptive DC link voltage which is made adaptive by adjusting reference DC link voltage according to CPI (common point of interconnection) voltage. The adaptive DC link voltage control helps in the reduction of switching power losses. A feed forward term for solar contribution is used to improve the dynamic response. The system is tested considering realistic grid voltage variations for under voltage and over voltage. The performance improvement is verified experimentally. The proposed system is advantageous not only in cases of frequent and sustained under voltage (as in the cases of far radial ends of Indian grid) but also in case of normal voltages at CPI. The THD (total harmonics distortion) of grid current has been found well under the limit of an IEEE-519 standard.

79 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed a new digital maximum power point tracking control scheme for a standalone photovoltaic (PV) system based on a single input fuzzy-logic (SIFLC), and based on the constant voltage algorithm.
Abstract: This paper presents a new digital maximum power point tracking control scheme for a standalone photovoltaic (PV) system. It is built up on a single input fuzzy-logic (SIFLC), and based on the constant voltage algorithm. The SIFLC generates a duty cycle (D) signal which is the control one for the DC–DC Boost converter. The proposed SIFLC performances will be compared to these of the well-known P&O algorithm. A stability study for the Mamdani SIFLC controllers is performed and proposed. The Lyapunov method is considered for the stability analysis of the proposed control systems. This MPPT algorithm is then experimentally implemented all around a DSP1104 for a real-time driving. The obtained results show that the proposed SIFLC-MPPT clearly succeeds to track the maximum power point and shows a higher performance than regular MPPTs such as the P&O algorithm. Results of the experimental tests also prove the validity and robustness of the proposed overall PV system control scheme.

67 citations