ABDELGHANI EL OUGLI

ABDELGHANI EL OUGLI

Université Sidi Mohamed Ben Abdellah

H-index: 12

Africa-Morocco

ABDELGHANI EL OUGLI Information

University

Université Sidi Mohamed Ben Abdellah

Position

Faculty of Sciences Dhar Mahraz Fez Morocco

Citations(all)

364

Citations(since 2020)

264

Cited By

150

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

17

i10Index(since 2020)

11

Email

University Profile Page

Université Sidi Mohamed Ben Abdellah

ABDELGHANI EL OUGLI Skills & Research Interests

Fuzzy control systems

Robust control

Linear and non-linear systems

Renewable energy and applications

Artificial neural networks and embedded systems in renewable energy systems applications.

Top articles of ABDELGHANI EL OUGLI

Improved design and performance of the global rectenna system for wireless power transmission applications around 2.45 GHz

This work proposes a new conception of the global microstrip rectenna system operating around 2.45 GHz. This improved rectenna system associates a receiving antenna with a rectifier circuit. This rectenna is printed on an FR4 substrate. The proposed antenna is a 1× 4 microstrip antenna patch array with pentagonal patches using the defective ground structure method and operates with circular polarization. To show the effectiveness of this array, the results obtained by the computer simulation technology microwave studio (CST MWS) software prove that this array is good in terms of high gain, high directivity, high efficiency, wideband, small volume, and well-adaptation, and all these results are confirmed by another solver high-frequency structure simulator (HFSS). The improved rectifier is a microstrip rectifier that uses an HSMS2852 Schottky diode by using a series topology. The effectiveness of this rectifier is proved by the simulation results using advanced design system (ADS) software in terms of well-matching input impedance, high efficiency, and important output direct current (DC) voltage value. The proposed rectenna system is more efficient compared with the existing works and is very appropriate for several applications of wireless power transmission to power supply electronic instruments in various fields cleanly on our planet.

Authors

Walid En-Naghma,Hanan Halaq,Abdelghani El Ougli

Journal

International Journal of Electrical and Computer Engineering (IJECE)

Published Date

2024/4

Actuator fault estimation in wind turbine using a modified sliding mode observer based on Linear Matrix Inequality approach

This paper presents a fault detection and isolation (FDI) method applied to a wind turbine system. The approach utilizes a nonlinear sliding mode observer (SMO) to effectively reconstruct faults in both the hydraulic pitch actuator and generator torque actuator of the wind turbine. A Linear Matrix Inequality (LMI) optimization approach is employed for the design. The blade pitch angle and generator torque in the wind turbine have significantly different orders of magnitudes, rendering them vulnerable to faults of different magnitudes. This discrepancy poses a challenge for the simultaneous reconstruction of faults. To resolve this challenge, a modification is made to the observer. To examine the effectiveness of the modified SMO, two fault scenarios were considered for the hydraulic pitch actuator and generator torque actuator. In the first case, faults are introduced separately, while in the second case, faults occur simultaneously. Simulation results demonstrate accurate detection, isolation, and reconstruction of these faults, whether in the case of separate or simultaneous fault occurrences.

Authors

Mohammed Taouil,Abdelghani El Ougli,Belkassem Tidhaf

Journal

Diagnostyka

Published Date

2024/4/23

A robust fuzzy logic PI controller for solar system battery charging

This article discusses a design of a photovoltaic (PV) system that allow charging a battery under variable climatic circumstances. The system under study is composed of two DC-DC converters a boost and Buck converter. The first one is used to extract the maximum power from the PV array through a novel variable step size P&O based MPPT offering a high tracking accuracy compared to classical approaches such PO and INC. The second converters aim at regulating the output voltage and current that feeds the battery using a robust optimal PI (O-PI) which has a faster time response and high accuracy compared to classical PI and PID controllers. The overall system and the control strategies are tested and validated in MATLAB/Simulink environment. The simulations results show the effectiveness and the robustness of the system.

Authors

Mohammed Zerouali,Abdelghani El Ougli,Belkassem Tidhaf

Journal

International Journal of Power Electronics and Drive Systems (IJPEDS)

Published Date

2023/3/1

Design of a New Strategy Based on Machine Learning to Improve the Energy Efficiency of Buildings

Traditional tactics are not a feasible option for smart buildings’ more advanced features, such as predictive and adaptive control systems. The ideas of smart buildings and socially resilient cities, in which building automation technologies are used to regulate and control energy generation, consumption, and storage, have been presented. As a contribution to a building’s efficiency enhancement, we built a strategy that will help regulators adopt better policies for new construction based on the level of efficiency. After choosing a reliable dataset and getting it ready to use, a decision tree (DT) model was trained to predict the heating load (HL) and cooling load (CL) of a new building based on its structural design and features. The evaluation of the model revealed an accuracy of 99.6% for HL predictions and 95.6% for CL predictions. In an improvement scenario, we discussed a possible energy savings of 179 GWh after …

Authors

Kaoutar Talbi,Abdelghani El Ougli,Tidhaf Belkassem

Published Date

2023/1/27

Novel broadband circularly polarized pentagonal printed antenna design for wireless power transmission applications

This paper provides a new conception for a microstrip patch antenna array that operates in a circularly polarized manner for wireless power transmission (WPT) at 2.45 GHz. The proposed conception combines four pentagonal patches and the defected ground structure (DGS) method. The antenna array with a dielectric constant of 4.4 and a tangential loss of 0.025 is printed on a FR4 where its thickness is about 1.58 mm. The developed design aims to optimize the antenna array performance. The main contribution, to the telecommunications and WPT fields, is to achieve a maximum energy transfer with low losses, while also ensuring adequate adaptation to the excitation port. To prove the effectiveness of this design, simulation results were obtained using computer simulation technology microwave studio (CST MWS) software and validated by another solver high-frequency structure simulator (HFSS). Simulation results are presented and compared with those obtained using existing conceptions in the literature. The proposed design has proven to be very effective in achieving the intended objectives, which makes this design very good for radiofrequency (RF) energy collection and its various applications to power a variety of devices without harming our planet.

Authors

Walid En-Naghma,Hanan Halaq,Abdelghani El Ougli

Journal

Indonesian Journal of Electrical Engineering and Computer Science

Published Date

2023/12

The Generation of Power from a Solar System Using a Variable Step Size P&O (VSS P&O) and Comparing It to a Grey Wolf Metaheuristic Algorithm (GWO)

In order to arrive at a maximum power point, this paper compares a Grey wolf optimizer (GWO) meta-heuristic method against a Variable step size P&O algorithm based on fuzzy logic (VSS P&O).The design, implementation, and comparison of the two algorithms are the key goals of this research. The PV system consists of a PV panel, a DC-DC boost converter, and a load. The Matlab Simulink platform is used for all modeling and simulation operations. The simulation results demonstrate the limitations and performance of each approach as well as the superiority of the Grey Wolf Optimizer (GWO) over the variable step P&O. The findings show that while the VSS P&O can more precisely discover the global optimum, the GWO has greater search capability and converge speed.

Authors

Mohammed Zerouali,Abdelghani El Ougli,Belkassem Tidhaf

Published Date

2023/1/27

Sensor fault reconstruction for wind turbine benchmark model using a modified sliding mode observer.

This paper proposes a fault diagnosis scheme applied to a wind turbine system. The technique used is based on a modified sliding mode observer (SMO), which permits the reconstruction of actuator and sensor faults. A wind turbine benchmark with a real sequence of wind speed is exploited to validate the proposed fault detection and diagnosis scheme. Rotor speed, generator speed, blade pitch angle, and generator torque have different orders of magnitude. As a result, the dedicated sensors are susceptible to faults of quite varying magnitudes, and estimating simultaneous sensor faults with accuracy using a classical SMO is difficult. To address this issue, some modifications are made to the classic SMO. In order to test the efficiency of the modified SMO, several sensor fault scenarios have been simulated, first in the case of separate faults and then in the case of simultaneous faults. The simulation results show …

Authors

Mohammed Taouil,Abdelghani El Ougli,Belkassem Tidhaf,Hafida Zrourim

Journal

International Journal of Electrical & Computer Engineering (2088-8708)

Published Date

2023/10/1

New circularly polarized microstrip patch antenna array design for energy harvesting applications

This paper gives an essential contribution to the energy engineering topic, especially the energy harvesting field. Wireless power transmission (WPT) is one of the most widely used methods in this field recently to generate electricity in a clean way for the environment like the rectenna systems. The main component of the rectenna systems is the microstrip patch antenna (MPA). This is the main reason why this article proposes a novel conception of 1×4 circular polarized MPA array to operate in the industrial, scientific, and medical (ISM) band at the resonant frequency of 2.45 GHz for radio frequency energy harvesting (RFEH) systems. The basic MPA element is a square antenna using a center slot and V-slits at the four corners combined with a defected ground structure (DGS) method. This proposed conception is developed in order to improve the antenna’s performance to integrate with a rectifier circuit for the …

Authors

Walid En-Naghma,Hanan Halaq,Abdelghani El Ougli

Journal

E3S Web of Conferences

Published Date

2023

New conception of 3× 4 circularly polarized antenna patch network for radio frequency energy harvesting at 2.45 GHz

This paper presents a developed design of a 3× 4 circular polarization microstrip antenna patch array who’s its resonance frequency is 2.45 GHz in the industrial, scientific, and medical (ISM) band. This array is printed on a FR4 substrate of 1.58 mm thickness with a dielectric permittivity of 4.4. The basic antenna patch is a square shape inserted by a rectangular slot inclined positioned diagonally at the center to achieve circular polarization. In addition, a triangular-shaped slit is added at each of the four corners of the patch. The antenna array performance is tested numerically using two different software packages, CST MWS and HFSS. The antenna’s array size is compacted to a 22.7× 13.5 cm. The simulated results give good performance results in terms of return loss and gain; directivity is found to be 9.66 dBi at 2.45 GHz; the axial ratio value is 1.69 dB; and total efficiency is about 95.55% at 2.45 GHz. Then, the simulated results obtained by these two programs are in good agreement, which makes this proposed array design very suitable for radio frequency energy harvesting and its various applications to power supply different devices in a clean way for our environment.

Authors

Walid En-Naghma,Hanan Halaq,Abdelghani El Ougli

Journal

Indonesian Journal of Electrical Engineering and Computer Science

Published Date

2023/9

Low-cost real-time internet of things-based monitoring system for power grid transformers

The internet of things (IoT) is a fast-increasing technology that links everything and enables effective communication between the linked “things”. The IoT, also known as the internet of objects, refers to a remote system connecting objects; often, the system will be remote and self-designing, such as family unit machines [1]. The phrase “Internet of Things” has evolved to refer to several technologies and study fields that allow the internet to extend out into the physical world of tangible items. Traffic monitoring, healthcare, security, transportation and logistics, and daily living are the top five IoT applications. In this paper, we are going to take advantage of these IoT technologies to improve one of the functional prospects of a power grid.A traditional power grid consists of a large number of loosely connected synchronous alternating current (AC) networks. It fulfills three main functions: generation, transmission, and distribution of electrical energy. Each network is centrally controlled and monitored in order to ensure that the power plants generate electrical energy as required within the framework of the electricity network [2]. Power grids also face a

Authors

Kaoutar Talbi,Abdelghani El Ougli,Belkassem Tidhaf,Hafida Zrouri

Journal

International Journal of Electrical and Computer Engineering (IJECE)

Published Date

2023/6

Implementation and Validation of Maximum Power Point Tracking (MPPT) of the Photovoltaic System on Arduino Microcontroller

In this research paper, we introduce real-time implementation, using Matlab and Simulink environments. The purpose is to study our proposed system, consisting of a photovoltaic, boost converter, and Arduino mega board. The latter communicates with the physical environment from the current and voltage sensors and executes the proposed MPPT commands (perturb-and-observe, short circuit current, incremental conductance, and open circuit voltage), varying the duty cycle of the signal PWM (Pulse Width Modulation) static converter.

Authors

Salaheddine Zouirech,Abdelghani El Ougli,Belkassem Tidhaf

Journal

WSEAS Transactions on Systems and Control

Published Date

2022

A New Maximum Power Point Tracking Based on Neural Networks and Incremental Conductance for Wind Energy Conversion System

This work presents a new Maximum Power Point Tracking (MPPT) for the connection of the wind turbine system (WT) to the synchronous permanent magnet generator (PMSG). To search the maximum power of the wind turbine, we have proposed a new MPPT which combines two techniques: Artificial Neural Network (ANN) and incremental conductance (IncCond) method. The advantage of ANN-based WT model method is the fast MPP approximation base on the ability of ANN according the parameters of WT that used. The advantage of IncCond method is the ability to search the exactly MPP based on the feedback voltage. In our case the ANN is employed to predict the maximum voltage of the WT, under different values of wind speed, and the control of DC–DC boost converter operation is executed by applying incremental conductance (IncCond) technique. The proposed system includes a wind turbine …

Authors

H El Aissaoui,A El Ougli,B. Tidhaf

Journal

E3S Web of Conferences

Published Date

2022

MPPT using PSO Technique Comparing to Fuzzy Logic and P&O Algorithms for Wind Energy Conversion System

This paper proposes a new maximum power point tracking (MPPT) technique for wind turbine Connection to a permanent magnet synchronous generator (PMSG), based on the Particle Swarm Optimization (PSO) algorithm. The PSO technique aims to control the boost converter by calculating the duty cycle value based on the voltage and current values. The Wind Energy Conversion System (WECS) includes a wind turbine, a PMSG, rectifier and a DC/DC boost converter that is connected to a load. To verify the performance of the suggested algorithm PSO, The results of the simulation are compared with those of fuzzy logic and (Perturb and Observe) P&O techniques, under step wind variations, using MATLAB/SIMULINK. The results of the simulation show that the proposed PSO technique ensures a good tracking of the maximum power point as the results obtained are more stable and the oscillations are eliminated.

Authors

Hayat El Aissaoui,Abdelghani El Ougli,Belkassem Tidhaf

Journal

WSEAS Transactions on Systems and Control

Published Date

2022

IoT technologies in service of the home energy efficiency and smart grid

Energy efficiency has become more useful to reduce energy demand growth. Industrial companies are trying to push down their energy bill by implementing different kinds of projects, and still not enough. To control the energy consumption of individuals, which presents an important part of the energy consumed. Companies are producing low consumption appliances, this allows us to meet user needs and governments requirement.Nowadays, governments are looking for developing smart grids, but they are still far from it. Most researches are focused on developing systems that allowed the user to manage some home appliances, switch lights on/off, control the fan of the air conditioner. On the other hand, few of them make a point on home energy efficiency and try to link it to the smart grid system.In this research paper, we are proposing an intelligent home management terminal, which used IoT technology to …

Authors

Mouhcine Arich,Abdelghani El Ougli,Belkassem Tidhaf

Published Date

2022/1/28

Single-phase photovoltaic grid-connected inverter based on fuzzy Variable Step Size P&O control

The production of electrical energy from renewable energies has become a hot topic. This work proposes a new MPPT for a photovoltaic system based on the fuzzy logic approach. The studied system consists of a PV generator, a DCDC Boost converter, a full H-bridge single-phase inverter, (RL) filter and the grid. To extract the maximum power from the PV generator we have used a new proposed MPPT based on Variable Step Size P & O and compared it with a classical Perturb and observe (P & O). In addition, the complete inverter topology of the H-bridge as well as two control loops; a voltage control loop and a current control loop are used as a link between the system and the grid. To reduce parasites in the form of voltage and current, a low pass filter with a resistor inductance (RL) has been designed. The various simulation results have shown the efficiency of the system.

Authors

Mohammed Zerouali,Abdelghani El Ougli,Belkassem Tidhaf

Published Date

2021/10/20

Neural networks and fuzzy logic based maximum power point tracking control for wind energy conversion system

In grid connected wind turbine (WT) systems, the maximum power point tracking (MPPT) approach has a crucial role in optimizing the wind energy efficiency. To search for the maximum power value of the wind turbine, this contribution proposes a new Maximum Power Point Tracking System (MPPT) for wind turbine related to a permanent magnet synchronous generator (PMSG)). The new proposed MPPT combines two techniques: Artificial Neural Network (ANN) and Fuzzy Logic (FL). The ANN is employed to estimate the maximum voltage of the WT, for various values of wind speed, while the control of DC–DC boost converter operation is executed by applying Fuzzy Logic technique. The comparison of our proposed algorithm to P&O technique has shown that it ensures more efficiency, and we used for that a simulation under Matlab/Simulink.

Authors

HE Aissaoui,AE Ougli,Belkassem Tidhaf

Journal

Adv. Sci. Technol. Eng. Syst. J

Published Date

2021/3

Fuzzy logic MPPT and battery charging control for photovoltaic system under real weather conditions

This paper proposes the control of a PV system charging a battery in real weather conditions. The structure of the studied system contains two stages of converters: a DC-DC Boost and a DC-DC Buck converter. To achieve the maximum power point (MPP) of the PV panel a Fuzzy logic (FL) is used. The output voltage and current which powers the battery are regulated by two controllers: a PID controller and a proposed Optimal PI, this latter controller get better response then track correctly the desired reference voltage. The studied system and control strategies are implemented in MATLAB-Simulink. Simulation results prove the high performance of the considered system.

Authors

Mohammed Zerouali,Abdelghani El Ougli,Belkassem Tidhaf,Hafida Zrouri

Published Date

2020/12/2

MPPT algorithm based on fuzzy logic and artificial neural network (ANN) for a hybrid solar/wind power generation system

In this paper we have studied a hybrid system that combines two photovoltaic and wind energy system. For the purpose of improving the performance of this system, we have proposed a new Maximum Power point tracking MPPT. The proposed algorithm is based on fuzzy logic (FL) and ANN artificial neural network. For the photovoltaic system (PV), ANN is used to estimate the maximum output voltage of the photovoltaic generator (PVG) under different environmental conditions (Temperature and Solar irradiance). The fuzzy logic is used to control the DC-DC boost converter. For the wind turbine system (WT), the ANN is employed to estimate the maximum output voltage for different wind speed values and the Fuzzy Logic Controller (FLC) is used to control the DC-DC boost converter. To verify the effectiveness of the proposed MPPT, the simulation is done under MATLAB/SIMULINK.

Authors

Hayat Elaissaoui,Mohammed Zerouali,Abdelghani El Ougli,Belkassem Tidhaf

Published Date

2020/10/21

Maximum Power Extraction from a Wind Turbine Energy Source Based on Fuzzy and Conventional Techniques for Integration in Micro-Grid

This paper presents a wind conversion chain supplying a DC micro grid. The studied system consists a wind turbine (WT), synchronous permanent magnet generator (PMSG), rectifier, DC-DC buck converter supply the micro grid. To extract the maximum power from the wind turbine, we used two techniques perturb & observe and the fuzzy logic. The results show the performance of the studied system to control the output voltage supply the DC Micro-grid. All modelization and simulations are performed under Matlab/Simulink environment.

Authors

Salaheddine Zouirech,Mohammed Zerouali,Abdelghani El Ougli,Belkassem Tidhaf

Published Date

2020/4/13

ABDELGHANI EL OUGLI FAQs

What is ABDELGHANI EL OUGLI's h-index at Université Sidi Mohamed Ben Abdellah?

The h-index of ABDELGHANI EL OUGLI has been 11 since 2020 and 12 in total.

What are ABDELGHANI EL OUGLI's top articles?

The articles with the titles of

Improved design and performance of the global rectenna system for wireless power transmission applications around 2.45 GHz

Actuator fault estimation in wind turbine using a modified sliding mode observer based on Linear Matrix Inequality approach

A robust fuzzy logic PI controller for solar system battery charging

Design of a New Strategy Based on Machine Learning to Improve the Energy Efficiency of Buildings

Novel broadband circularly polarized pentagonal printed antenna design for wireless power transmission applications

The Generation of Power from a Solar System Using a Variable Step Size P&O (VSS P&O) and Comparing It to a Grey Wolf Metaheuristic Algorithm (GWO)

Sensor fault reconstruction for wind turbine benchmark model using a modified sliding mode observer.

New circularly polarized microstrip patch antenna array design for energy harvesting applications

...

are the top articles of ABDELGHANI EL OUGLI at Université Sidi Mohamed Ben Abdellah.

What are ABDELGHANI EL OUGLI's research interests?

The research interests of ABDELGHANI EL OUGLI are: Fuzzy control systems, Robust control, Linear and non-linear systems, Renewable energy and applications, Artificial neural networks and embedded systems in renewable energy systems applications.

What is ABDELGHANI EL OUGLI's total number of citations?

ABDELGHANI EL OUGLI has 364 citations in total.

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