Linda Slimani

Ferhat Abbas University of Setif · Department of Electrical Engineering

Through the integration of distributed generation into the distribution network, several benefits can be achieved, including minimization of system losses, enhancement of voltage profiles, and improvement of network reliability and security. One of the best ways to maximize the benefits of distributed generation units is to optimize the location an...

Purpose. This paper proposes the application procedure of a new metaheuristic technique in a practical electrical power system to solve optimal power flow problems, this technique namely the slime mould algorithm (SMA) which is inspired by the swarming behavior and morphology of slime mould in nature. This study aims to test and verify the effectiv...

This paper presents a new nature-inspired metaheuristic technique namely Slime Mould Algorithm (SMA) which is inspired from the swarming behavior and morphology of slime mould in nature to solve a practical optimal power flow (OPF) problem. OPF is a highly non-linear complex optimization problem in the power system. SLM algorithm is used to determi...

The progression towards smart grids, integrating renewable energy resources, has increased the integration of distributed generators (DGs) into power distribution networks. However, several economic and technical challenges can result from the unsuitable incorporation of DGs in existing distribution networks. Therefore, optimal placement and sizing...

This paper presents a study of the optimal power flow (OPF) for a large scale power system. A metaheuristic search method based on the Ant Lion Optimizer (ALO) algorithm is presented and has been confirmed in the real and larger scale Algerian 114-bus system for the OPF problem with and without static VAR compensator (SVC) devices. To get the highe...

Purpose. The most common methods to design a multiclass classification consist to determine a set of binary classifiers and to combine them. In this paper support vector machine with Error-Correcting Output Codes (ECOC-SVM) classifier is proposed to classify and characterize the power quality disturbances such as harmonic distortion, voltage sag, a...

La contribution principale de cette thèse est l’amélioration de fonctionnement des réseaux électriques modernes par l’optimisation de l’intégration des multi-FACTS en utilisant des méthodes d’optimisation métaheuristiques hybrides. Donc l’objectif est de résoudre le problème de l’écoulement de puissance optimal mono, bi et multi-objectif en optimis...

_In this study, a multiobjective optimization is applied to Optimal Power Flow Problem (OPF). To effectively achieve this goal, a Multiobjective Ant Lion algorithm (MOALO) is proposed to find the Pareto optimal front for the multiobjective OPF. The aim of this work is to reach good solutions of Active and Reactive OPF problem by optimizing 4-confli...

This paper studies the impact of incorporating wind power generation WPG on the power system on prsence of voltage source converter based high voltage DC (VSC-HVDC). A new meta-heuristic optimization technique are use for solving of the optimal power flow (OPF) problem, this technique optimization namely Ant Lion Optimizer (ALO). The optimization m...

This paper presents a Multi-Objective dragon fly (MODA) algorithm for the multi-objective optimal power flow (MOOPF) problem. The objective of this paper is to minimize multiple objectives functions such as the total fuel cost of generation, total real power loss, total emission and voltage deviation. Multi objective Dragonfly Algorithm is a new po...

In this paper, the optimal power flow (OPF) of a meshed AC/DC power transmission network with voltage source converter based multi-terminal DC (VSC-MTDC) networks has used to minimize the cost and the transmission losses. Furthermore, we have used the optimal power flow (OPF) in presence of VSC-MTDC with large integration of wind farm using the dif...

This paper proposes the application of the firefly algorithm (FA) for optimal sizing and placement of Multiple Distributed Generation (DGs) in the radial distribution networks considering uncertainty in the variation of loads in order to minimize power losses and to improve the voltage profile. Uncertainty in the variation of loads is linearly chan...

This paper describes the solution of the optimal power flow (OPF) problem with wind penetration using a Differential Evolution optimization technique. In order to make OPF become more reasonable, the cost of wind power generation is added into the objective function. This paper presents the enhancement of different performance parameters of power s...

_ This paper present the solution of optimal power flow problems using a Differential Evolution algorithm (DE) with consideration of unified power flow controller (UPFC). Differential Evolution method is one of the best evolutionary algorithms for global optimization, it using three basic operations, namely: mutation, crossover, and selection opera...

The objective of this paper is to determine the optimal placement of the Static Var Compensators (SVC) and High Voltage Direct Current (HVDC) lines in order to minimize the transmission losses and the overloads of the network, and improves the voltage profile for a best balance between the energy production and its consumption. In this paper we wil...

The objective of this paper is to determine the optimal placement of the High Voltage Direct Current (HVDC) lines in order to minimize the transmission losses and the overloads of the network for a best balance between the energy production and its consumption. Furthermore, we will consider in detail the study of the optimal power flow (OPF) in pre...

The use of Equipment is more sensitive to disturbances, the power quality of the system and within the customer facilities, and harmonics is one of these factors that affect this quality. Harmonics are caused by variable speed drives, rectifier (charger), data processing load or fluorescent lighting, over-voltages by capacitor switching, under-volt...

This paper proposes a new hybrid metaheuristique algorithm based on the hybridization of Biogeography-based optimization with the Differential Evolution for solving the optimal power flow problem with emission control. The biogeography-based optimization (BBO) algorithm is strongly influenced by equilibrium theory of island biogeography, mainly thr...

This paper proposes the application of the fuzzy arithmetic algorithm (FAA) in the analysis of radial distribution system power flow in the presence of uncertainties. FAA takes care of the uncertainty in the input parameters and provides strict bounds for the solution of the problem. The sources of uncertainties of the electric quantities of the di...

This paper presents the use of a novel evolutionary algorithm called Biogeography-based optimization (BBO) for the solution of the optimal power flow problem. The objective is to minimize the total fuel cost of generation and environmental pollution caused by fossil based thermal generating units and also maintain an acceptable system performance i...

This paper presents solution of optimal power flow (OPF) problem of a power system via a simple particle swarm optimization (PSO) algorithm. The objective is to minimize the fuel cost and keep the power outputs of generators, bus voltages, shunt capacitors/reactors and transformers tap-setting in their secure limits. The effectiveness of PSO was co...

This paper presents the use of a meta-heuristic nature-inspired algorithm, called firefly algorithm for the solution of the optimal power flow problem. The objective is to minimize the total fuel cost of generation and environmental pollution caused by fossil based thermal generating units and also maintain an acceptable system performance in terms...

This paper presents a solution for the emission-controlled economic dispatch (ECED) problem of medium sized power systems via an artificial bee colony algorithm. The ECED problem, which accounts for the minimization of both the fuel cost and the emission, is a multiple objective function problem. The objective is to minimize the total fuel cost of...

This paper presents solution of optimal power flow (OPF) problem of a power system via differential evolution (DE) algorithm. The purpose of an electric power system is to deliver real power to the greatest number of users at the lowest possible cost all the time. So the objective is to minimize the total fuel cost of the generating units and also...

In order to efficiently extract the focused regions from the source images and improve the quality of the fused image, this paper presents a novel image fusion scheme with non-negative matrix factorization (NMF). The source images are fused by NMF to construct temporary fused image, whose region homogeneityis used to split the source images into re...

Wind farm at windy locations is today economically competitive to conventional power generation sources. The Optimal Power Flow (OPF) problem with High Wind Penetration using Differential Evolution was explored and exploited in this paper. In order to make OPF become more reasonable, the cost of wind power generation is added into the objective fun...

This paper presents solution of optimal power flow (OPF) problem of practical power system via an Artificial Bee Colony (ABC) algorithm. The objective is to minimize the total fuel cost of generation and environmental pollution caused by fossil based thermal generating units and also maintaining an acceptable system performance in terms of limits o...

This thesis presents the methodology used in the development of an Optimal Power Flow (OPF) program using three metaheuristic methods (Particle Swarm Optimisation (PSO) Ant Colony Optimisation (ACO), & Genetic Algorithm (GA)). The objective is to minimise the fuel cost and keep the power outputs of generators, bus voltages, shunt capacitors/reactor...

La contribution principale de cette thèse est l'Application de trois techniques métaheuristiques : l’optimisation par Essaims de Particules (PSO), les algorithmes de colonies de fourmis (ACO) et les algorithmes génétiques (AG) pour résoudre le problème d’optimisation de l’écoulement de puissance dans un environnement régulé ou dérégulé. Différentes...

This paper presents solution of optimal power flow (OPF) problem of large distribution systems via two stochastic search algorithms. A simple genetic algorithm (GA) and evolutionary programming (EP) are used to minimize the fuel cost and keep the power outputs of generators, bus voltages, shunt capacitors/reactors and transformers tap-setting in th...

This paper presents solution of optimal power flow (OPF) problem of a power system via a simple particle swarm optimization (PSO) algorithm. The objective is to minimize the fuel cost and keep the power outputs of generators, bus voltages, shunt capacitors/reactors and transformers tap-setting in their secure limits.The effectiveness of PSO was com...

This paper presents solution of optimal power flow (OPF) problem of a power system via an Ant Colony Optimization Meta-heuristic method. The objective is to minimize the total fuel cost of thermal generating units and also conserve an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, shunt...

This paper presents solution of optimal power flow (OPF) problem of electrical power system via a genetic algorithm of real type. The objective is to minimize the total fuel cost of generation and environmental pollution caused by fossil based thermal generating units and also maintain an acceptable system performance in terms of limits on generato...

Real ants are capable of finding the shortest path from their nest to a food source without visual sensing. They are also able to adapt to changes in the environment. Ant Colony Algorithms try to make use of these real ant abilities to solve various optimization problems. This paper presents solution of optimal power flow (OPF) problem of a power s...

This paper presents solution of optimal power flow problem of large distribution systems via a simple genetic algorithm. The objective is to minimize the fuel cost and keep the power outputs of generators, bus voltages, shunt capacitors/reactors and transformers tap-setting in their secure limits. CPU times can be reduced by decomposing the optimiz...

This paper presents solution of optimal power flow (OPF) problem of a power system via a genetic algorithm of real type. The objective is to minimize the total fuel cost of thermal generating units and also conserve an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, shunt capacitors/react...

This paper presents solution of optimal power flow (OPF) problem of medium-sized power systems via a genetic algorithm of real type. The objective is to minimize the total fuel cost of generation and environmental pollution caused by fossil based thermal generating units and also maintain an acceptable system performance in terms of limits on gener...

This paper describes an efficient software platform for power system analysis. Making use of the object-oriented methodology advantages, the power system is modeled as an aggregate of linked objects and structured in class hierarchy. Each class describes an object and encapsulates both its data structure and behavior (operating methods). Attributes...