Younes Boujoudar

Younes Boujoudar
  • PhD. in Renewable Energies
  • Sidi Mohamed Ben Abdellah University

Looking for PostDoc Position in Microgrids

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26
Publications
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551
Citations
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Publications

Publications (26)
Article
Full-text available
The existing battery management systems perform many functions, such as simply monitoring the battery's voltage, current, and temperature for the most basic and compensating energy imbalances between battery cells for the most advanced systems. In this last example, the function balancing helps protect the battery from obtaining a better lifespan....
Article
This research describes an intelligent Energy Management System (EMS) for a microgrid application that employs a Nonlinear Autoregressive Moving Average Level 2 (NARMA-L2) artificial neural network (ANN). The hybrid energy resources (PV/WIND), a hybrid energy storage system (HESS) with batteries and supercapacitors (SC), and loads are all integrate...
Article
Full-text available
The growing focus on solar energy has led to an expansion of large solar energy projects in the world. Though the most widely adopted Total Cross Tie (TCT) interconnection patterns will reduce the loss of mismatch, the appearance of shades in large-scale photovoltaic arrays drastically decreases the output power as well as several peaks of power in...
Article
Full-text available
The growing focus on solar energy has led to an expansion of large solar energy projects globally. However, the appearance of shades in large-scale photovoltaic arrays drastically decreases the output power and several peaks of power in the P–V characteristics. The most commonly adopted total cross tie (TCT) interconnection patterns that effectivel...
Article
Full-text available
Introduction: The utilization of solar energy in large-scale photovoltaic arrays has gained immense popularity on a global scale. However, shadows in the array lead to significant reductions in power output and create multiple power peaks in the P-V characteristics. To address this issue, the Total Cross Tie (TCT) interconnection pattern is commonl...
Article
Full-text available
Microgrids are small-scale power networks that include renewable energy sources, load, energy storage systems, and energy management systems (EMS). Lithium-ion batteries are the most used battery for energy storage in microgrids due to their advantages over other types of batteries. However, to protect the battery from the explosion and to manage t...
Article
Full-text available
Microgrid (MG) technologies offer users attractive characteristics such as enhanced power quality, stability, sustainability, and environmentally friendly energy through a control and Energy Management System (EMS). Microgrids are enabled by integrating such distributed energy sources into the utility grid. The microgrid concept is proposed to crea...
Article
Full-text available
Accurate fault location is challenging due to the distribution network’s various branches, complicated topology, and the increasing penetration of distributed energy resources (DERs). The diagnostics for power system faults are based on fault localization, isolation, and smart power restoration. Adaptive multi-agent systems (MAS) can improve the re...
Article
Full-text available
This paper proposes efficient energy management in hybrid microgrid-comprising of photovoltaic (PV) and battery storage systems. The proposed technique. The hybrid system's power balance is based on smart control to meet the demands of isolated off-grid direct current (DC) loads as well as to stabilize the voltage to DC Bus. The Perturb and Observe...
Article
Rapid detection and efficient diagnosis of power outages can improve reliability, stability, and energy quality. Fault diagnosis is based on fault detection, location, isolation, and quick power restoration. An efficient solution for fault diagnosis could be artificial intelligent-based multi-agent systems. This paper proposed a new approach based...
Article
Full-text available
This paper proposes a multi-agent system for energy management in a microgrid for smart home applications, the microgrid comprises a photovoltaic source, battery energy storage, electrical loads, and an energy management system (EMS) based on smart agents. The microgrid can be connected to the grid or operating in island mode. All distributed sourc...
Article
Energy generation is currently evolving into a smart distribution system that incorporates several green energy resources at a distributed level, ensuring that clean energy is generated without releasing harmful gases, that operational procedures are consistent, and that energy management and supervision arrangements are improved. This paper propos...
Article
One of the main objectives of the Energy Management System (EMS) is to achieve a very high level of flexibility, stability, and the system must be able to adapt to most changes in the distribution network. This paper proposes a multi-agent system-based microgrid energy management to balance the energy supply and demand by feasibly integrating the e...
Article
Full-text available
With the advance in technology in driving vehicles, there is currently more emphasis on developing advanced control systems for better road handling stability and ride comfort. However, one of the challenging problems in the design and implementation of intelligent suspension systems is that there is currently no solution supporting the export of g...
Article
The integration of distributed generation (DG) units such as wind power into the distribution network are one of the most viable technique to meet the energy demand increases. But, the integration of these DG units into power systems can change the dynamic performances of the systems and create new challenges that are necessary to be taken care of...
Article
Full-text available
Microgrids are defined as an interconnection of several renewable energy sources in order to provide the load power demand at any time. Due to the intermittence of renewable energy sources, storage systems are necessary, and they are generally used as a backup system. Indeed, to manage the power flows along the entire microgrid, an energy managemen...
Article
Full-text available
In this paper, an intelligent control strategy for a microgrid system consisting of Photovoltaic panels, grid-connected, and Li-ion Battery Energy Storage systems proposed. The energy management based on the managing of battery charging and discharghing by integration of a smart controller for DC/DC bidirectional converter. The main novelty of this...
Article
Full-text available
span>In this paper, an intelligent control strategy for a microgrid system consisting of Photovoltaic panels, grid-connected, and li-ion battery energy storage systems proposed. The energy management based on the managing of battery charging and discharging by integration of a smart controller for DC/DC bidirectional converter. The main novelty of...
Chapter
Efficient detection of fault and location can increase the safety and Efficiency of electrical power systems. The fault in power systems can create other faults and outages in the network. Fault analysis includes fault detection, location, isolation of the faulted section from the network, and energy restoration as soon as possible. In this study,...
Article
Full-text available
Standalone Power Systems (SPS), formerly known as Micro Power Systems, is an off-grid electricity system for locations that are not fitted with an electricity generation. Typical SPS include one or more renewable electricity sources, energy storage, and regulation. In this paper,supervision of hybrid Photovoltaic system and battery storage is prese...
Conference Paper
This paper proposes a new multiagent system algorithm to increase the security and protection of power systems. The multi-agent system (MAS) proposed for fault location, distance estimation, and automatic power restoration in a distribution system with renewable Distributed Generation (DG). The smart agents proposed consisting of many nodes (agents...
Article
Full-text available
span class="fontstyle0">In This paper, we propose an effective and online technique for modeling nd State of Charge (SoC) estimation of Lithium-Ion (Li-Ion) batteries using Feed Forward Neural Networks(FFNN) and Nonlinear Auto Regressive model with eXogenous input(NARX). The both Artificial Neural Network (ANN) are rained using the data collected f...

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