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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Ennajih, Elmehdi
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Control & Systems Engineering Electrical & Electronics Engineering

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The implementation of an optimized neural network in a hybrid system for energy management Jarmouni, Ezzitouni; Mouhsen, Ahmed; Lamhamdi, Mohamed; Ennajih, Elmehdi; Ennaoui, Ilias; Krari, Ayoub
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp815-823

Abstract

In the face of increasing global energy demand and volatile energy prices, many countries are searching for solutions to ensure their energy independence. One of the most popular solutions is to incorporate renewable energy sources in their energy systems. While there are many advantages to integrating renewable energy sources, it is important to note that their intermittent operation can present challenges. Energy storage and smart grid management systems are key solutions to overcome these challenges and ensure sustainable, reliable use of renewable energy sources. In this article, we present an intelligent electrical energy management system for hybrid energy systems. This management system is based on a multi-layer neural network that has undergone an architecture optimization phase to improve the accuracy of real-time energy management and simplify its implementation. The management model that was built demonstrated highly good performance across a range of test circumstances.
Comparing fuzzy logic and backstepping control for a buck boost converter in electric vehicles Ennajih, Elmehdi; Allali, Hakim; Jarmouni, Ezzitouni; Ennaoui, Ilias
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp883-891

Abstract

Significant advances have been made in the control of DC/DC converters, owing to the effective combination of linear and nonlinear approaches. The above-mentioned approaches have greatly improved the efficiency as well as stability of the converter, even when faced with changing conditions. Nevertheless, the emergence of artificial intelligence has introduced new perspectives in the domain. The objective of the article is to examine two separate methodologies for controlling a boost-buck converter: using a nonlinear approach, especially backstepping, and utilizing artificial intelligence through fuzzy logic. The main aim of this work is to illustrate the inherent stability and robustness of fuzzy logic controllers compared to backstepping control in managing effectively various variations and challenges encountered in converter control.
DSP implementation and discretization of phase locked loop methods in presence of grid imperfections En-Naoui, Ilias; Radouane, Abdelhadi; Mouhsen, Azeddine; Jarmouni, Ezzitouni; Ennajih, Elmehdi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1490-1498

Abstract

The fluctuation of grid variables affects the performance of the phase-locked loop, considerably reducing the efficiency of grid energy injection or compensation currents generation during active filtering. The phase locked loop is the main tool for grid synchronization, offering continuous, real-time extraction of grid variables. As these techniques are implemented on digital computers, their discretization and analysis of resource requirements is an important step. This work represents a discretization and implementation on a digital signal processing (DSP) board of two distinct phase-locked loop (PLL) techniques as well as a comparative study of the latter. Our study covers various aspects, including the discretization of the PLLs to be studied, an assessment of the hardware resources required, their implementation on a DSP board, and their effectiveness in quickly identifying grid variables in the presence of imbalance and harmonics, which represent the most frequent grid imperfections.
Co-Authors Allali, Hakim En-Naoui, Ilias Ennaoui, Ilias Jarmouni, Ezzitouni Krari, Ayoub Lamhamdi, Mohamed Mouhsen, Ahmed Mouhsen, Azeddine Radouane, Abdelhadi