Ismail Marouani

• National Engineering School of Sfax

This study introduces an innovative method for addressing the bearing fault detection problem in rotating machinery. The proposed approach integrates multi-feature extraction, advanced feature selection, and state-of-the-art classification techniques using convolutional neural network (CNN) models. Leveraging the comprehensive Fault Bearing Dataset...

The use of standalone photovoltaic power systems (PVPS) as a viable solution for rural electrification has gained significant momentum. Electricity for essential home requirements is now commonly available thanks to these systems. Typically, PVPS incorporate devices for storing energy, predominantly Lead-acid (LA) batteries, to address the supply-d...

Induction motors, known for their reliability and efficiency, are widely used in various industrial applications. However, their susceptibility to failure, particularly in harsh environments, poses significant operational challenges. Early detection of faults is essential to avoid unplanned downtime and costly repairs. In this study, we propose a n...

The energy derived from fossil fuels significantly contributes to global warming (GW), accounting for over 75% of global greenhouse gas emissions and approximately 90% of all carbon dioxide emissions. It is crucial to rely on alternative energy from renewable energy (RE) to mitigate carbon emissions in the energy sector. Renewable energy sources ha...

化石能源的使用是全球变暖（global warming，GW）的重要原因，占全球温室气体排放量的75%以上，约占所有二氧化碳排放量的90%。依靠可再生能源（renewable energy，RE）替代化石能源来减轻能源部门的碳排放至关重要。到2050年，可再生能源有可能消除发电行业中90%的碳排放，大大减少碳排放有助于减轻GW的影响。通过强调零排放的概念，可再生能源的未来变得充满希望，有可能取代化石燃料，到2050年将全球气温上升限制在1.5 ℃以内。本文探讨了可再生能源技术及其在多个领域的应用对减轻GW的作用，研究了支持可再生能源政策的趋势和成功案例，并探索了减轻气候变化影响和实现清洁能源未来的可用选项。此外，可再生能源为化石燃料提供了一种清洁和可持续的替代品，减少了对化石燃料的依赖并最大...

This paper proposes an improved biogeography-based optimization (BBO) algorithm to effectively solve the economic and environmental dispatch (EED) problem in power systems. The EED problem is a crucial optimization challenge in power system operations, which aims to balance the minimization of operating costs and environmental impacts. Various meta...

In this paper, an optimal design approach for a permanent magnet synchronous machine (PMSM), as an electric vehicle (EV) traction machine is proposed in such a way that a high power density machine can be achieved. A surface mounted PMSM is selected for its high efficiency and torque density. The machine parameters and the design constraints are es...

Technological advancements and ongoing scientific research have significantly contributed to addressing challenges within electrical networks. The emergence of FACTS (Flexible AC Transmission Systems) devices has introduced new opportunities for enhancing the safety and efficiency of these networks. A key focus for researchers in this domain has be...

There is a growing interest in green hydrogen, with researchers, institutions, and countries focusing on its development, efficiency improvement, and cost reduction. This paper explores the concept of green hydrogen and its production process using renewable energy sources in several leading countries, including Australia, the European Union, India...

The use of FACTS devices in power systems has become increasingly popular in recent years, as they offer a number of benefits, including improved voltage profile, reduced power losses, and increased system reliability and safety. However, determining the optimal type, location, and size of FACTS devices can be a challenging optimization problem, as...

Secure power system operation relies extensively on the analysis of transient stability and control. The dynamics involved in power system control are often complex and nonlinear. Most of the currently existing works approach these frequent problems with nonlinear control techniques, leading to a requirement for specific controller parameter adjust...

Secure power system operation relies extensively on the analysis of transient stability and control. The dynamics involved in power system control are often complex and nonlinear. Most of the currently existing works approach these frequent problems with nonlinear control techniques, leading to a requirement for specific controller parameter adjust...

Using flexible AC transmission system (FACTS) devices in power systems while adhering to some equality and inequality constraints, researchers around the world sought to address this issue with the objectives of improving the voltage profile, reducing power losses in transmission lines, and increasing system reliability and safety. The recent devel...

Advances in PV technology have given rise to the increasing integration of PV-based distributed generation (PVDG) systems into distribution systems to mitigate the dependence on one power source and alleviate the global warming caused by traditional power plants. However, high power output coming from intermittent PVDG can create reverse power flow...

Combined economic emission dispatch (CEED) problems are among the most crucial problems in electrical power systems. The purpose of the CEED is to plan the outputs of all production units available in the electrical power system in such a way that the cost of fuel and polluted emissions are minimized while respecting the equality and inequality con...

In this paper,an improved Artificial Bee Colony algorithm applied to the Environmental/Economic Dispatch (EED) optimization problem is presented. It consists to find the optimal solution taking into account the characteristics and constraints on the system. This problem is formulated as a multi-objective problem and which aims to minimize certain o...

In an electrical power system, the optimal distribution of power generation is a primary option for efficient planning of power plant generation to meet load demand while minimizing operating costs of generation. This paper presents a resolution of the Unit commitment problem (UCP) by the development of a mathematical model allowing to have the che...

This paper focuses on economic emission dispatch, this dispatching is able to determine the optimum operating strategy to minimize energy costs, enable reduced emissions, and better utilization of renewable energy resources such as wind and solar power. Many countries have made great efforts to save energy and make efficient use, by the development...

In this paper, a new approach for the economic environmental dispatch (EED) problem with both wind turbines and thermal generators is presented. The here-and-now (HN) strategy is used in the problem formulation by incorporating the stochastic characteristic of the wind power (WP) in the system constraints. Weibull probability distribution function...

One of the most effective approaches to reduce carbon emissions is the integration of renewable energy sources into electrical power networks. Currently, wind turbines are the fastest growing among all renewable sources. With the integration of wind farms into electrical grids, the economic emission dispatch (EED) problem is becoming more complicat...

The purpose in this present work, consists to use the multi-objective ant lion optimizer (MOALO) algorithm to solve dynamic economic environmental dispatch problems with and without ramp rate. The proposed method repository in first used to search for optimal solutions of the generated powers and then calculate the cost, emission functions. The dyn...

The purpose in this present work presents the application of Dynamic Programming optimization (DPO) algorithm for solving Unit commitment problem with wind and solar energy considering emission reduction. The proposed approach is especially oriented to search optimal solutions of thermal units, wind and PV solar generation scheduling powers and cal...

Scientific researches and technological developments, although they seek to solve the problems related to the reduction of the cost of generation and the emissions, are in the course of finding the best solutions. It is in this context that our paper is located and which focuses on the problem of dynamic economic environmental dispatch (DEED) using...

With the electricity market deregulation, the number of unplanned power exchanges increases. If these exchanges are not controlled, some lines may become overloaded. Network contingencies often contribute to overloading of branches, violation of voltages and also leading to problem security. This paper presents a procedure based on the contingency...

In this paper, a multiobjective evolutionary algorithm (MOEA) to solve optimal reactive power (VAR) dispatch problem with flexible AC transmission system (FACTS) devices is presented. This nonlinear multiobjective problem (MOP) consists to minimize simultaneously real power loss in transmission lines and voltage deviation at load buses, by tuning p...

Because their capability to change the network parameters with a rapid response and enhanced flexibility, flexible AC transmission system (FACTS) devices have taken more attention in power systems operations as improvement of voltage profile and minimizing system losses. In this way, this paper presents a multi-objective evolutionary algorithm (MOE...

Heuristic approaches are traditionally applied to find the optimal location of flexible AC transmission system (FACTS) in a small power system. This paper shows the application of an elitist multi-objective evolutionary algorithm (MOEA) based on non-dominated sorting genetic algorithm II (NSGAII) for optimal placement of unified power flow controll...

In an electric power systems, the transmission system become increasingly subject several constraints and difficulties to operate. In this paper, a Multi-Objective Evolutionary Algorithm (MOEA) to solve optimal reactive power (VAR) dispatch problem with Flexible AC Transmission System (FACTS) devices is presented, because their rapid response and e...