Tarek Bouktir

University Ferhat Abbas of Setif · Department of Electrical Engineering

optimal insertion of intermittent renewable sources in intelligent power grid (smart grid)

With arrival of advanced technologies, automated appliances in residential sector are still in unlimited growth. Therefore, the design of new management schemes becomes necessary to be achieved for the electricity demand in an effort to ensure safety of domestic installations. To this end, the Demand Side Management (DSM) is one of suggested soluti...

Optimization of reactive power dispatch (ORPD) problem is a key factor for stable and secure operation of the electric power systems. In this paper, a newly explored nature-inspired optimization through artificial ecosystem optimization (AEO) algorithm is proposed to cope with ORPD problem in large-scale and practical power systems. ORPD is a well-...

Due to the rapidly developing of electric power system across the world in response to technical, economic and environmental developments, modern power systems often operate proximate to their maximal limits, engendering voltage instability risks in electric grid. On the other hand, excessive penetration of renewable energy sources into electrical...

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 is the issue 4 of the Volume 16 (2020) of Journal of Electrical Systems. In this issue there is 10 papers. The JES journal publishes original papers of permanent reference value in all fields of electrical systems. All papers are blind peer-reviewed by at least three referees.

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 is the issue 3 of the Volume 16 (2020) of Journal of Electrical Systems. In this issue there is 10 papers. The JES journal publishes original papers of permanent reference value in all fields of electrical systems. All papers are blind peer-reviewed by at least three referees.

The techniques and theories used for identification and control of uncertain dynamic systems based on the universal approximators are diverse, but can mainly be divided into two categories, some are basic universal approximators as fuzzy systems (FS), neural networks (NN) and wavelet neural networks (WNN). And other hybrid approximators which are c...

Purpose. In recent years, the problem of allocation of distributed generation and capacitors banks has received special attention from many utilities and researchers. The present paper deals with single and simultaneous placement of dispersed generation and capacitors banks in radial distribution network with different load levels: light, medium an...

This paper describes a new approach to adaptive control of uncertain nonlinear systems. A fuzzy logic controller is used to combine both direct and indirect methods. Based on the fuzzy neural networks, the plant unknown nonlinear functions are estimated, and then combined to form the indirect control law. In parallel, another fuzzy neural network a...

The transient stability of the 12-bus Algerian southeast power system is studied in this paper. This electrical system has abundant reactive power due to the long transmission lines and generators' voltage. This capacitive power increases bus voltage which leads to network instability. The use of conventional compensators does not provide adequate...

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...

This is the issue 2 of the Volume 16 (2020) of Journal of Electrical Systems. In this issue there is 10 papers. The JES journal publishes original papers of permanent reference value in all fields of electrical systems. All papers are blind peer-reviewed by at least three referees.

As wind power and load characteristic of the distribution system varies over time, the network topology also changes from one hour to another. The methodology addressed in this study consists of alternating distribution network switches following hourly variation in load consumption and wind power output, two scenarios are investigated, in order to...

This is the issue 1 of the Volume 16 (2020) of Journal of Electrical Systems. In this issue, there is 10 papers. The JES journal publishes original papers of permanent reference value in all fields of electrical systems. All papers are blind peer-reviewed by at least three referees.

Installation of distributed generations (DGs) could be an effective solution to the problem of shortage of the electric energy especially in populated areas. Installation of DG in non-suitable places can result in more energy losses and voltage instability which leads to higher operating cost. DGs should be placed optimally in the network to get ma...

Following the experience gained in organizing the 1st, the 2nd and 3rd International Conference on Recent Advances in Electrical Systems in the last three years, it was decided to hold the 4th version of ICRAES from 23 to 25 December 2019 at the prestigious Medina Solaria & Thalasso 5-Star Hotel Yasmine Hammamet, Hammamet; Tunisia. The purpose of t...

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...

Au cours de ces dernières années, la demande en énergie électrique a continué de croître, amenant les réseaux électriques modernes à fonctionner au-delà de leur limite de stabilité, ce qui augmente le niveau probable de risque d'instabilité de la tension. Dans une telle situation, une évaluation rapide et précise de la stabilité de tension est néce...

Généralement, l'intégration directe de sources d'énergie renouvelables dans les réseaux électriques existants peut créer de nouveaux défis, dus principalement à la variabilité et à l'incertitude de ces sources d'énergie, À cette fin, l’introduction du concept de réseau intelligent a permis de relever ces défis en permettant l’intégration économique...

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 recent years, due to the economic and environmental issues, modern power systems often operate proximately to the technical restraints enlarging the probable level of instability risks. Hence, efficient methods for voltage instability prevention are of great importance to power system companies to avoid the risk of large blackouts. In this paper...

During the last decade, wind energy gained much importance as an energy source in power systems. DFIG energy is one of the most widely accepted types of renewable energy generation because of its several benefits. This paper presents a comparative study on the performance of different control strategies for DFIG wind turbines: proportional-integral...

Supply chain is a hard business area, where you need to have a perfect balance between demand and supply, day in and day out, by an intricate system that sits underneath it all. Achieving such a system by meeting the ambitious targets of the agreement on climate change can only be achieved through an effective combination of energy efficiency and r...

In this work, we consider the application of an Intelligent Petri Type 2 Fuzzy Direct Adaptive Control for a class of single input single output nonlinear systems. Within this scheme, the Petri Type 2 Fuzzy Neural Networks (PT2FNN) are employed to approximate an unknown ideal controller, that can achieve control objectives in the presence of extern...

In recent years, the problem of voltage instability has received special attention from many utilities and researchers. The present paper deals with the on-line evaluation of voltage stability in power system using Adaptive Neuro-Fuzzy Inference System (ANFIS). The developed ANFIS model takes the voltage magnitudes and their phases obtained from th...

With the increase in fossil fuel prices, power system operators were facing a challenge to reduce the operational cost since it is directly related to the consumer electricity price. To counter the issue, the optimal power output of generation units were obtained by solving economic dispatch problem. In past years, various researchers have attempte...

In this paper, an efficient Grey Wolf Optimizer (GWO) search algorithm is presented for solving the optimal power flow problem in a power system, enhanced by wind power plant. The GWO algorithm is based on meta-heuristic method, and it has been proven to give very competitive results in different optimization problems. First, by using the proposed...

The penetration of wind power energy systems has been increasing rapidly all over the world during the last few decades. Because of her important role as permanent clean energy source, it is the subject of future energy projects in many countries. In this paper, we present a general view of the penetration of wind power all over the world. The diff...

In recent years, due to the economic and environmental issues, modern power systems often operate proximate to the technical restraints enlarging the probable level of voltage instability risks. Hence, fast and efficient methods to assess and enhance power system voltage stability are of great importance to experts and industries in order to avoid...

The high penetration of wind power systems in the electrical network has introduced new issues in the stability and transient operation of the grid. This paper provides an assessment of wind power effects on the transient stability of a power system. The wind generators considered are the squirrel cage induction generator (SCIG), which is a fixed s...

Purpose – In the vast majority of published papers, the optimal reactive power dispatch (ORPD) problem is dealt as a single-objective optimization; however, optimization with a single objective is insuf fi cient to achieve better operation performance of power systems. Multi-objective ORPD (MOORPD) aims to minimize simultaneously either the active...

_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...

Les travaux de cette thèse, portent sur la commande tolérante aux défauts (perturbations) d'une classe de systèmes non linéaires décrits par des modèles flous de Takagi--Sugeno (T-S). En premier lieu, nous présentons les résultats les plus couramment utilisés pour l'analyse des modèles flous T--S et leurs structures ainsi que la façon de leur obten...

In this paper, an efficient approach based on the combination of dragonfly optimization (DFO) algorithm and support vector regression (SVR) has been proposed for online voltage stability assessment. As the performance of the SVR model extremely depends on careful selection of its parameters, the DFO algorithm involves SVR parameters setting, which...

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...

This paper presents the application of support vector regression (SVR) and adaptive neuro-fuzzy inference system (ANFIS) models that are amalgamated with synchronized phasor measurements for on-line voltage stability assessment. As the performance of SVR model extremely depends on the good selection of its parameters, the recently developed ant lio...

Due to the ever-increasing energy demand, power system operators have attempted to cope with these demands while keeping the power system remain operable. Economic constraints have forced the power system operator to abandon their effort in expanding the power system. The increased load demand can cause the power system to suffer from voltage insta...

Abstract: In this paper, we developed a novel universal approximator by the integration of Petri networks into type 2 fuzzy neural networks. Type 2 fuzzy neural networks involves large number of rules which results in heavy computational burden and great computation time. By incorporating Petri layers to optimize the number of rules; these two draw...

This paper presents the use of a recent developed algorithm inspired by the hunting mechanism of antlions in nature, called ant lion optimizer (ALO) algorithm for solving optimal reactive power dispatch (ORPD) problem considering a large-scale power system. The ORPD is formulated as a complex combinatorial optimization problem with nonlinear charac...

This paper proposes a new Takagi–Sugeno (T–S) fuzzy model-based maximum power tracking controller to draw the maximum power from a solar photovoltaic (PV) system. A DC–DC boost converter is used to control the output power from the PV panel. Based on the T–S fuzzy model, the fuzzy maximum power point tracking controller is designed by constructing...

Abstract: The main aim of this paper is to propose an efficient and reliable algorithm to solve the economic dispatch (ED) problem with non-convex cost functions in power systems, using artificial bee colony (ABC) algorithm. For techno-economic reasons along with the high computation time, the ED problem has undergone a significant amount of re...

The main aim of this paper is to propose an efficient and reliable algorithm to solve the economic dispatch (ED) problem with non-convex cost functions in power systems, using artificial bee colony (ABC) algorithm. For techno-economic reasons along with the high computation time, the ED problem has undergone a significant amount of research over th...

During the past few years, the installed world wind power capacity has increased massively. The wind turbine should be integrated efficiently in electrical network because of their uncertain and difficult prediction of production. Offshore Wind turbines are often located in far-off regions where grid access is relatively weak. This paper focuses on...

The purpose of this paper is to enhance voltage stability, as well as loadability of power system, in order to control the instability problem that occurs when the system supply a heavy load, or when there is a sudden increasing level of active or reactive power, leading to voltage collapse, and therefore the system become heavily stressed, for thi...

This paper presents an application of a new meta-heuristic optimization technique, namely Ant Lion Optimizer (ALO) for solving Optimal Power Flow (OPF) problem. The presented method is inspired from the hunting behaviors of antilions in the nature to catch pries. It is inspected and tested on the well known IEEE 30 bus test system considering vario...

In this paper we are interested to study the effect of transient stability of generations kind, such as, fixed speed wind turbine (CSIG), variable speed wind turbine (DEIG), synchronous generator (SG) and assigning a fault in the presence of FACTS system. So to increase the transient stability of a power system. The STATCOM is one of the proper ele...

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 develops a new fuzzy tracking control method using Takagi-Sugeno (T-S) fuzzy models and virtual reference model integrating disturbance estimation, with an application to permanent magnet synchronous machine (PMSM). The major contribution of the proposed method is to consider the load disturbance as a part of the reference model to compe...

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...

The reconfiguration of the distribution system is used to minimize total power loss by providing good voltage profile. It is performed based on a metaheuristic optimization method, called firefly algorithm (FA). First, the algorithm was applied to the IEEE33-bus test system to find a new optimum configuration of the network by opening and closing t...

_ 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...

This paper exposes an Optimal Power Flow (OPF) problem resolution using a recent developed meta-heuristic algorithm called Artificial Bee Colony (ABC) algorithm based Grenade Explosion Method (GEM). From many previous researches, the ABC algorithm has proved its goodness at exploration process in the search space for better solutions, but it is wea...

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 presents a fuzzy tracking control strategy for wind energy conversion system (WECS) using a Permanent Magnet Synchronous Generator based variable speed Wind Turbine (PMSG-WT). The main contribution is to develop a new Takagi-Sugeno (T-S) fuzzy tracking controller capable to drive the PMSG-WT system for capturing maximum wind energy over...

This paper presents a fuzzy tracking control strategy for wind energy conversion system (WECS) using a Permanent Magnet Synchronous Generator based variable speed Wind Turbine (PMSG-WT). The main contribution is to develop a new Takagi-Sugeno (T-S) fuzzy tracking controller capable to drive the PMSG-WT system for capturing maximum wind energy ov...

Les multiples coupures d’électricité recensées au cours de ces dernières années ont révélé que le réseau algérien de transport d’électricité fonctionne à la limite de sa stabilité. Outre, les niveaux de chaleurs sans précédents observés durant la même période ont soulevé le besoin impérieux de réduire les émissions de gaz à effet de serre et ceci e...

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...

The aim of this paper is to present a new fuzzy tracking control for a wind energy conversion system (WECS), which consists of a permanent magnet synchronous generator based variable speed wind turbine (WT). First, a fuzzy TakagiSugeno (T-S) model is used to represent the PMSG-WT nonlinear system. Next, a fuzzy tracking control based on the concept...

This paper presents a new output fuzzy tracking control for a class of nonlinear systems subject to external disturbances using Takagi-Sugeno (T-S) model. The objective is to design an observer-based fuzzy controller capable to track a virtual reference model and rejecting the effect of disturbance on the nonlinear system. First, a T-S fuzzy model...