Abdelhakim Saim

Abdelhakim Saim

Université de Nantes

H-index: 12

Europe-France

Abdelhakim Saim Information

University

Université de Nantes

Position

PhD

Citations(all)

462

Citations(since 2020)

444

Cited By

132

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Université de Nantes

Abdelhakim Saim Skills & Research Interests

Microgrid

Distributed Generation

Stability

Control

Top articles of Abdelhakim Saim

Design of fractional MOIF and MOPIF controller using PSO algorithm for the stabilization of an inverted pendulum‐cart system

The topic of this paper is the design of two fractional order schemes, based on a state feedback for linear integer order system. In the first one of the state feedback is associated with a fractional order integral (Iα$ I^{\alpha }$) controller. In the second structure the state feedback is associated with a fractional order proportional integral (PIα$ PI^{\alpha }$) controller. With such controllers, the closed loop system with state feedback described by the state equations splits in n‐subsystems with different fractional orders derivatives of the state variable. In order to find the optimal parameters value of both controllers (Iα$ I^{\alpha }$) and (PIα$ PI^{\alpha }$), a multi‐objective particle swarm optimization algorithm is used, with the integral of absolute error, the overshoot Mp$ M_{p}$, the Buslowicz stability criterion are considered as objective functions. The multi‐objective integral fractional order controller and the multi …

Authors

Fatima Cheballah,Rabah Mellah,Abdelhakim Saim

Journal

IET Control Theory & Applications

Published Date

2024/4/4

Optimal Operation of Distribution Networks Considering Renewable Energy Sources Integration and Demand Side Response

This paper demonstrates the effectiveness of Demand Side Response (DSR) with renewable integration by solving the stochastic optimal operation problem (OOP) in the IEEE 118-bus distribution system over 24 h. An Improved Walrus Optimization Algorithm (I-WaOA) is proposed to minimize costs, reduce voltage deviations, and enhance stability under uncertain loads, generation, and pricing. The proposed I-WaOA utilizes three strategies: the fitness-distance balance method, quasi-opposite-based learning, and Cauchy mutation. The I-WaOA optimally locates and sizes photovoltaic (PV) ratings and wind turbine (WT) capacities and determines the optimal power factor of WT with DSR. Using Monte Carlo simulations (MCS) and probability density functions (PDF), the uncertainties in renewable energy generation, load demand, and energy costs are represented. The results show that the proposed I-WaOA approach can significantly reduce costs, improve voltage stability, and mitigate voltage deviations. The total annual costs are reduced by 91%, from 3.8377 × 107 USD to 3.4737 × 106 USD. Voltage deviations are decreased by 63%, from 98.6633 per unit (p.u.) to 36.0990 p.u., and the system stability index is increased by 11%, from 2.444 × 103 p.u. to 2.7245 × 103 p.u., when contrasted with traditional methods.

Authors

Ahmed T Hachemi,Fares Sadaoui,Abdelhakim Saim,Mohamed Ebeed,Hossam EA Abbou,Salem Arif

Journal

Sustainability

Published Date

2023/12/10

A Novel Modified Reptile Search Algorithm for Optimal Planning of a Real Algerian Distribution Grid with Renewable Energy Resources Considering Uncertainties of System

The increasing demand for energy, coupled with concerns about the environment and finite resources, has made the use of renewable energy sources (RESs) crucial. Although wind and solar energy are one of the most promising sources of renewable energy, their random and uncertain nature poses a challenge for energy management systems. The integration of RESs into distribution networks (DNs) is a challenging task that requires optimizing DN planning. This involves incorporating distributed generation (DG) systems such as wind turbines (WTs) and photovoltaics (PVs) into the distribution networks, which can be optimized to reduce costs, additionally, the resulting configuration can noticeably improve stability by enhancing the voltage stability index and reducing voltage deviation. In this paper, a novel Modified Reptile Search Algorithm (MRSA) is proposed for the optimal planning problem (OPP) of the DN under uncertainties such as solar irradiance, wind speed, load, temperature, and energy prices. The proposed MRSA is based on two strategies, including the fitness-distance balance method and the Levy flight motion, to boost the searching ability of the standard RSA and avoid local optima. The suggested MRSA algorithm has been evaluated on typical benchmark functions and a real 112-bus Algerian distribution network.

Authors

Fares Sadaoui,Salem Arif,Abdelhakim Saim,Mohamed Ebeed,Salah Kamel,Francisco Jurado,Emad Mohamed

Published Date

2023/5/4

Modified reptile search algorithm for optimal integration of renewable energy sources in distribution networks

This paper introduces a Modified Reptile Search Algorithm (MRSA) designed to optimize the operation of distribution networks (DNs) considering the growing integration of renewable energy sources (RESs). The integration of RESs‐based Distributed Generation (DG) systems, such as wind turbines (WTs) and photovoltaics (PVs), presents a complex challenge due to its significant impact on DN operations and planning, particularly considering uncertainties related to solar irradiance, temperature, wind speed, consumption, and energy prices. The primary objective is cost reduction, encompassing electricity acquisition, PV and WTs unit costs, and annual energy losses. The proposed MRSA incorporates two strategies: the fitness‐distance balance method and Levy flight motion, enhancing its searching capabilities beyond standard Reptile Search Algorithm and mitigating local optima issues. The uncertainties in …

Authors

Ahmed T Hachemi,Fares Sadaoui,Salem Arif,Abdelhakim Saim,Mohamed Ebeed,Salah Kamel,Francisco Jurado,Emad A Mohamed

Journal

Energy Science & Engineering

Published Date

2023/12

Power Sharing in Three-Level NPC Inverter Based Three-Phase Four-Wire Islanding Microgrids With Unbalanced Loads

The droop-based control schemes are widely used for power-sharing and control of the isolated microgrids. The conventional droop control scheme with inner current and voltage controllers can work effectively under ideal voltage. However, the existence of unbalance tends its performance to worsen. This paper aims to propose an enhanced droop control method to improve the power-sharing, and maintain the distributed generators’ (DGs) terminal voltages and the system frequency under the balanced as well as unbalanced loads. The enhancements of the proposed control scheme include the droop controller, inner current and voltage controller, and virtual impedance loop. The proposed virtual impedance deals with the accurate sharing of powers in the case of unequal line impedance and the control of zero sequence current. Moreover, to enable the proposed control to compensate for the unbalance, three …

Authors

Binod Sharma,Prabhat Kumar Pankaj,Yacine Terriche,Abdelhakim Saim,Ashish Shrestha,Chun-Lien Su,Josep M Guerrero

Journal

IEEE Access

Published Date

2023/2/28

An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives

This paper presents an advanced strategy combining fuzzy logic and artificial neural networks (ANNs) for direct torque control (DTC) and broken-bar fault diagnosis in induction motors. More specifically, a fuzzy-based controller is used to simultaneously minimize the stator flux and the electromagnetic torque ripples. A neural switching table is then proposed to achieve the interface inverter control. Besides, a closed-loop broken-bar fault detection strategy based on the Hilbert technique (HT) with the discrete wavelet transform (DWT) and ANNs is proposed. The fault detection is performed by analyzing the induction motor’s stator current by using the combined techniques HT-DWT. The effect of a broken-bar fault on the machine varies according to the number and position of the broken bars. The neural detector was used in order to identify the number of broken bars through only one current measurement. The effectiveness of the developed control has been verified using MATLAB/Simulink and real-time simulation in OPAL-RT 4510. Obtained results show improved performances in terms of torque ripple minimization and stator current quality, evaluated, respectively, at 43.75% and 41.26% as well as a rigorous motor health monitoring.

Authors

Oualid Aissa,Abderrahim Reffas,Hicham Talhaoui,Djamel Ziane,Abdelhakim Saim

Journal

International Transactions on Electrical Energy Systems

Published Date

2023/10/26

Integral backstepping-ILC controller for suppressing circulating currents in parallel-connected photovoltaic inverters

In big solar plants where the use of a single inverter is neither economically or technically feasible, parallel linked photovoltaic inverters are necessary. For parallel-connected operation, the most significant issue is that even a slight variation in the output voltages of particular inverters results flow of circulating currents. A high level of circulation current causes inverter power losses to increase, which lowers the system's overall performance by decreasing its efficiency. In this paper, a novel simple and effective controller for parallel-connected inverters is proposed to ovoid the circulating currents among the inverters. Convergence efficiency and low computational cost of the suggested controller based on integral backstepping method are the primary motivations of this work. The simulation and experimental findings show that the suggested control system achieves the required power quality and reduces circulation …

Authors

Soumia Kerrouche,Ali Djerioui,Samir Zeghlache,Azeddine Houari,Abdelhakim Saim,Hegazy Rezk,Mohamed Fouad Benkhoris

Journal

Simulation Modelling Practice and Theory

Published Date

2023/2/1

Optimal Control Strategy for Floating Offshore Wind Turbines Based on Grey Wolf Optimizer

Due to the present trend in the wind industry to operate in deep seas, floating offshore wind turbines (FOWTs) are an area of study that is expanding. FOWT platforms cause increased structural movement, which can reduce the turbine’s power production and increase structural stress. New FOWT control strategies are now required as a result. The gain-scheduled proportional-integral (GSPI) controller, one of the most used control strategies, modifies the pitch angle of the blades in the above-rated zone. However, this method necessitates considerable mathematical approximations to calculate the control advantages. This study offers an improved GSPI controller (OGSPI) that uses the grey wolf optimizer (GWO) optimization method to reduce platform motion while preserving rated power output. The GWO chooses the controller’s ideal settings. The optimization objective function incorporates decreasing the platform pitch movements, and the resulting value is used to update the solutions. The effectiveness of the GWO in locating the best solutions has been evaluated using new optimization methods. These algorithms include the COOT optimization algorithm, the sine cosine algorithm (SCA), the African vultures optimization algorithm (AVOA), the Harris hawks optimization (HHO), and the whale optimization algorithm (WOA). The final findings show that, compared to those caused by the conventional GSPI, the suggested OGSPI may successfully minimize platform motion by 50.48%.

Authors

Seydali Ferahtia,Azeddine Houari,Mohamed Machmoum,Mourad Ait-Ahmed,Abdelhakim Saim

Journal

Applied Sciences

Published Date

2023/10/23

A review on mode transition strategies between grid-connected and standalone operation of voltage source inverters-based microgrids

Microgrids technologies are seen as a cost effective and reliable solution to handle numerous challenges, mainly related to climate change and power demand increase. This is mainly due to their potential for integrating available on-site renewable energy sources and their flexibility and scalability. The particularity of microgrids is related to their capacity to operate in synchronization with the main grid or in islanded mode to secure the power supply of nearby end-users after a grid failure thanks to storage solutions and an intelligent control system. The most critical operating case occurs when a sudden transition from grid-connected (GC) to stand-alone operation (SA) happens. During the transition, the system experiences abrupt changes that can result in a malfunction of the control system and a possible failure of the power system. The transition issue attracted considerable attention from researchers. Indeed, many research works are proposed to address this issue by proposing detection and transition techniques that ensure a smooth transition at the islanding time. Although there are several approaches to dealing with this issue, a categorization of the proposed methods in the literature and their differences is useful to assist engineers and researchers working on this topic. Thus, this study proposes a comprehensive review to summarize these approaches and point out their advantages and limitations.

Authors

Jihed Hmad,Azeddine Houari,Allal El Moubarek Bouzid,Abdelhakim Saim,Hafedh Trabelsi

Published Date

2023/6/29

Design, Modeling, and Validation of Grid-Forming Inverters for Frequency Synchronization and Restoration

This paper focuses on the modeling, analysis, and design of grid-forming (GFM) inverter-based microgrids (MGs). It starts with the development of a mathematical model for three-phase voltage source inverters (VSI). The voltage and current controllers consist of two feedback loops: an outer feedback loop of the capacitance-voltage and an inner feedback loop of the output inductance current. The outer voltage loop is employed to enhance the controller’s response time. The inner current loop is used to provide active damping for the resonance created by the LCL filter. A two-layer control scheme is adopted for the GFM inverter control. The primary decentralized control uses droop control and virtual impedance loops to share active and reactive power. Simultaneously, the centralized secondary control addresses frequency and amplitude deviations induced by the droop control. Additionally, a synchronization loop is proposed for seamless reconnection of GFM inverters to the MG and to connect the GFM-controlled MG to the main grid. It has the advantage that the inverter operates in GFM mode even after the synchronization has occurred. The simulation results have shown that the voltage controller ensures a 0.005 s settling time and maintains the steady-state error at its minimum value of 0.1 V. Similarly, the current controller ensures a 0.006 s settling time with a 10−5 steady-state error. The system with the designed controller has a low total harmonic distortion (THD) of 1.46% and improved power quality of the output voltage. Furthermore, a quick restoration time is observed during load steps and tripping events, with a restoration time of 1 s with …

Authors

Ilyas Bennia,Elhoussin Elbouchikhi,Abdelghani Harrag,Yacine Daili,Abdelhakim Saim,Allal El Moubarek Bouzid,Badreddine Kanouni

Journal

Energies

Published Date

2023/12/21

Optimization of PI Controller Parameters by GWO Algorithm for Five-Phase Asynchronous Motor

Operation at low speed and high torque can lead to the generation of strong ripples in the speed, which can deteriorate the system. To reduce the speed oscillations when operating a five-phase asynchronous motor at low speed, in this article, we propose a control method based on Gray Wolf optimization (GWO) algorithms to adjust the parameters of proportional–integral (PI) controllers. Proportional–integral controllers are commonly used in control systems to regulate the speed and current of a motor. The controller parameters, such as the integral gain and proportional gain, can be adjusted to improve the control performance. Specifically, reducing the integral gain can help reduce the oscillations at low speeds. The proportional–integral controller is insensitive to parametric variations; however, when we employ a GWO optimization strategy based on PI controller parameters, and when we choose gains wisely, the system becomes more reliable. The obtained results show that the hybrid control of the five-phase induction motor (IM) offers high performance in the permanent and transient states. In addition, with this proposed strategy controller, disturbances do not affect motor performance.

Authors

Malika Fodil,Ali Djerioui,Mohamed Ladjal,Abdelhakim Saim,Fouad Berrabah,Hemza Mekki,Samir Zeghlache,Azeddine Houari,Mohamed Fouad Benkhoris

Journal

Energies

Published Date

2023/5/22

Power management strategy with SoCs balancing of a battery powered shipboard DC Microgrid

In this paper, an advanced power management and control strategy is proposed to manage the operation of a short-route all electric battery powered ferry. The objective of this strategy is to maintain reliable power supply for both propulsion and ferry service loads under all operations and achieve suitable exploitation of the batteries-based energy storage systems (BESSs). For this aim, and in order to achieve these objectives a hierarchical control strategy. This strategy includes an inner voltage-current control level to maintain the desired DC voltage at the onboard DC bus and a V/P droop-based power sharing control level to accurately share the power between BESSs. Additionally, an external power management level is implemented in order to define the power participation amount of each BESSs according to the ferry load power demand and to their state of charge (SOC). This power management strategy …

Authors

Abdelhakim Saim,Azeddine Houari,Manuel A Barrios,Mourad Ait-Ahmed,Mohamed Machmoum,Josep M Guerrero

Published Date

2022/10/26

Active resonance damping and harmonics compensation in distributed generation based islanded microgrids

The development of distributed generation based microgrids with high penetration of electronically interfaced systems shows great interest in various applications. These systems commonly use LC-L filters with inherent resonance characteristics, which increases the risk of resonance amplification and propagation in microgrids. These resonances lead to current and voltage harmonics amplifications resulting in major power quality and stability issues. For this aim, an effective active resonance damping method is proposed to dampen out the undesired resonance amplifications. The proposed method uses a filter-based approach with inherent stability characteristics to reconstruct and compensate for the undesired resonance harmonics. This method uses an external control level that prevents control bandwidth limitation as it directly superposes the harmonic compensating signal to the control signal. This method …

Authors

Abdelhakim Saim,Azeddine Houari,Mourad Ait-Ahmed,Mohamed Machmoum,Josep M Guerrero

Journal

Electric Power Systems Research

Published Date

2021/2/1

Improving Auto-Encoders' self-supervised image classification using pseudo-labelling via data augmentation and the perceptual loss

In this paper, we introduce a novel method to pseudo-label unlabelled images and train an Auto-Encoder to classify them in a self-supervised manner that allows for a high accuracy and consistency across several datasets. The proposed method consists of first applying a randomly sampled set of data augmentation transformations to each training image. As a result, each initial image can be considered as a pseudo-label to its corresponding augmented ones. Then, an Auto-Encoder is used to learn the mapping between each set of the augmented images and its corresponding pseudo-label. Furthermore, the perceptual loss is employed to take into consideration the existing dependencies between the pixels in the same neighbourhood of an image. This combination encourages the encoder to output richer encodings that are highly informative of the input's class. Consequently, the Auto-Encoder's performance on unsupervised image classification is improved both in termes of stability and accuracy becoming more uniform and more consistent across all tested datasets. Previous state-of-the-art accuracy on the MNIST, CIFAR-10 and SVHN datasets is improved by 0.3%, 3.11% and 9.21% respectively.

Authors

Aymene Mohammed Bouayed,Karim Atif,Rachid Deriche,Abdelhakim Saim

Published Date

2020/12/8

A Pseudo-labelling Auto-Encoder for unsupervised image classification

In this paper, we introduce a unique variant of the denoising Auto-Encoder and combine it with the perceptual loss to classify images in an unsupervised manner. The proposed method, called Pseudo Labelling, consists of first applying a randomly sampled set of data augmentation transformations to each training image. As a result, each initial image can be considered as a pseudo-label to its corresponding augmented ones. Then, an Auto-Encoder is used to learn the mapping between each set of the augmented images and its corresponding pseudo-label. Furthermore, the perceptual loss is employed to take into consideration the existing dependencies between the pixels in the same neighbourhood of an image. This combination encourages the encoder to output richer encodings that are highly informative of the input's class. Consequently, the Auto-Encoder's performance on unsupervised image classification is improved in terms of stability, accuracy and consistency across all tested datasets. Previous state-of-the-art accuracy on the MNIST, CIFAR-10 and SVHN datasets is improved by 0.3\%, 3.11\% and 9.21\% respectively.

Authors

Aymene Mohammed Bouayed,Karim Atif,Rachid Deriche,Abdelhakim Saim

Journal

arXiv preprint arXiv:2012.03322

Published Date

2020/12/6

Generalized IDA-PBC control using enhanced decoupled power sharing for parallel distributed generators in standalone microgrids

The development of an advanced modular control strategy for distributed generation-based islanded MicroGrids (MGs) is proposed in this article. This control strategy aims at achieving robust performances and accurate load power sharing in spite of system architecture. This strategy is based on the interconnection and damping assignment passivity-based control (IDA-PBC), which provides sufficient conditions to ensure the system modularity and stability. The design methodology of the proposed method is declined into three important steps. The whole system is modeled using the port-controlled Hamiltonian (PCH) formalism, the Hamiltonian function is minimized to synthesize the corresponding control laws, and finally, the stability of the synthesized control laws is verified. In this work, the Hamiltonian function is augmented with an enhanced decoupled droop (E2D) control in order to guarantee the stability of the …

Authors

Nidhal Khefifi,Azeddine Houari,Mohamed Machmoum,Abdelhakim Saim,Malek Ghanes

Journal

IEEE Journal of Emerging and Selected Topics in Power Electronics

Published Date

2020/10/28

Differential flatness for smooth transition between grid-connected and standalone mode of three-phase inverter

In this paper, the use of flatness based control to achieve smooth transition between Grid Connected (GC) and Stand-Alone (SA) is investigated. The idea is to exploit the flatness proprieties to ensure smooth transition between GC and SA modes. The flatness control uses planned flat outputs to calculate the inverter controls that achieve disturbances rejection. The design of the proposed control is detailed and its effectiveness is evaluated.

Authors

Abdelhakim Saim,Azeddine Houari,Mourad Ait-Ahmed,Mohamed Machmoum,Josep M Guerrero

Published Date

2020/9/7

Adaptive reference trajectory for power quality enhancement in three-phase four-wire standalone power supply systems with nonlinear and unbalanced loads

This article presents an advanced control strategy for power quality enhancement in standalone power supply systems (PSSs) with grid forming four-leg voltage source inverters (FL-VSIs). Indeed, an online adaptive reference generator (ARG) with a gray wolf optimizer (GWO) is proposed to sustain the control performances of a feedback linearization control (FLC) strategy and improve its robustness against load-side disturbances and system parameters' uncertainties. The key purpose of the proposed GWO-based ARG is to compensate for load and phase disturbances through smooth reference adjustments, in order to improve the voltage waveforms' quality and symmetry and conform to the existing power quality standards and metrics. The design methodology of the proposed control approach is thoroughly detailed, and its effectiveness is asserted through simulation and experimental tests, demonstrating its …

Authors

Abdelhakim Saim,Azeddine Houari,Mourad Aït Ahmed,Ali Djerioui,Mohamed Machmoum,Josep M Guerrero

Journal

IEEE Journal of Emerging and Selected Topics in Power Electronics

Published Date

2020/1/15

Abdelhakim Saim FAQs

What is Abdelhakim Saim's h-index at Université de Nantes?

The h-index of Abdelhakim Saim has been 11 since 2020 and 12 in total.

What are Abdelhakim Saim's top articles?

The articles with the titles of

Design of fractional MOIF and MOPIF controller using PSO algorithm for the stabilization of an inverted pendulum‐cart system

Optimal Operation of Distribution Networks Considering Renewable Energy Sources Integration and Demand Side Response

A Novel Modified Reptile Search Algorithm for Optimal Planning of a Real Algerian Distribution Grid with Renewable Energy Resources Considering Uncertainties of System

Modified reptile search algorithm for optimal integration of renewable energy sources in distribution networks

Power Sharing in Three-Level NPC Inverter Based Three-Phase Four-Wire Islanding Microgrids With Unbalanced Loads

An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives

Integral backstepping-ILC controller for suppressing circulating currents in parallel-connected photovoltaic inverters

Optimal Control Strategy for Floating Offshore Wind Turbines Based on Grey Wolf Optimizer

...

are the top articles of Abdelhakim Saim at Université de Nantes.

What are Abdelhakim Saim's research interests?

The research interests of Abdelhakim Saim are: Microgrid, Distributed Generation, Stability, Control

What is Abdelhakim Saim's total number of citations?

Abdelhakim Saim has 462 citations in total.

What are the co-authors of Abdelhakim Saim?

The co-authors of Abdelhakim Saim are Josep M. Guerrero, pierfederici serge, Azeddine HOUARI, Malek GHANES.

    Co-Authors

    H-index: 147
    Josep M. Guerrero

    Josep M. Guerrero

    Aalborg Universitet

    H-index: 44
    pierfederici serge

    pierfederici serge

    Université de Lorraine

    H-index: 28
    Azeddine HOUARI

    Azeddine HOUARI

    Université de Nantes

    H-index: 26
    Malek GHANES

    Malek GHANES

    École Centrale de Nantes

    academic-engine

    Useful Links