Tarek Bouktir

Improvement of transient stability of Algerian power system network with wind farm

Although Algeria is ranks fourteenth country in proven petroleum reserves, Algeria is Conscious of the need to face its environmental problems and anxious to take part in the fight against the climatic change. It is in this optic that the Algerian government creates Funds earmarked for a renewable energy supplied from 0.5% of petroleum rental. While solar energy remains the main focus of efforts to boost production from renewable energy, Algeria is looking at wind power by several projects, which will be integrated in the Algerian network. The main objective of this research work is to investigate the power quality issue to the transient stability problem caused by the wind power connection and consequently the enhancement of the rate of the wind power penetration limit without overloaded line and with an acceptable voltage level ensured by integration of flexible AC transmission system (FACTS) device such as Static Synchronous Compensator (STATCOM). Furthermore, in order to choose the adequate type of wind turbine, a comparative study between several types is established. It must be noted that all simulations are carried out on PSAT/Simulink. Finally, some meaningful conclusions and comments are given in this paper.

Tracking control for permanent magnet synchronous machine based on Takagi-Sugeno fuzzy models

This paper deals with the synthesis of fuzzy state feedback controller of permanent magnet synchronous machine (PMSM). First, the T-S fuzzy output tracking control will be presented, the concept of virtual desired variables and, in turn the so-called generalized kinematics are introduced to simplify the design procedure. The gains of fuzzy control are obtained by solving a set of Linear Matrix Inequality (LMI). Next, the Takagi-Sugeno (T-S) fuzzy model is employed to approximate a non linear system in d - q frame. Finally, simulation results are given to demonstrate the controllers effectiveness.This paper deals with the synthesis of fuzzy state feedback controller of permanent magnet synchronous machine (PMSM). First, the T-S fuzzy output tracking control will be presented, the concept of virtual desired variables and, in turn the so-called generalized kinematics are introduced to simplify the design procedure. The gains of fuzzy control are obtained by solving a set of Linear Matrix Inequality (LMI). Next, the Takagi-Sugeno (T-S) fuzzy model is employed to approximate a non linear system in d - q frame. Finally, simulation results are given to demonstrate the controllers effectiveness.

Maximum loading point in distribution system with renewable resources penetration

In the recent years a large power oscillation have being seen in the distribution power system as a result of the integration of distributed generation resources (DGs). So a static and dynamic modeling of this system must be understood in order to ensure the reliable operation of the distribution system. The purpose of this paper is to study the effect of various small scale DG types on the voltage stability and the overall system loadability. The study has been carried out using the IEEE 33-Bus radial distribution system. Continuous power flow method is used to test the increasing loadability margin and it is found that the type of DG units significantly decreases or increases the loadability margin of the power distribution system.

TVAC based PSO for solving Economic and Environmental Dispatch considering security constraint

This paper presents Multi Objective Optimization for Economic and Environmental Dispatch (EED) problem considering security constraint described by Voltage Profile Index (VPI). The fuzzy set theory is used for the modeling of uncertainties about objective functions in the practical environment of poorly defined data. In the beginning, each objective function is optimized independently with an extraction of minimal and maximal values for each one. The membership functions are defined, fuzzy set theory is used to formulate the new standard nonlinear problem and max-min operator for maximizing the Degree of Satisfaction (DS) of all membership functions and to get Pareto solution. Conventional Particle Swarm Optimization (PSO) and Time Varying Acceleration Coefficients (TVAC) based PSO methods are used to solve the problem and demonstrating the effectiveness and capability of the second method over the first one. For both algorithms, IEEE 30 bus test system is applied to verify objectives cited above.

Optimal sizing and placement of renewable energy source in large scale power system using ABC technique in presence of UPFC

This paper presents an effective method for optimal sizing and placement of renewable energy source in a standard IEEE 30 bus system by using Artificial Bee Colony method. The total generation cost as well as the total loss of the entire system can be reduced by proper allocation of more clean sources. Artificial Bee Colony ABC is employed for optimization purposes. For more improved performances of the power system Unified Power Flow Controller (UPFC) installed in a waked line [11], in addition to wind farm optimal placement are considered in this paper. Results for optimization of total cost with and without installation of wind farms as well as UPFC location and sizing are investigated in this paper.

Resolution of Economic Dispatch problem considering wind power penetration planning

This paper presents a new resolution approach of Economic Dispatch (ED) problem considering wind power penetration planning with specified wind farm locations. Firstly, the total fuel cost of conventional generating units is optimized with a wind power contribution. When the optimal wind power penetration for each wind farm location is specified, a planning process is performed to get the total number and the total cost of wind generators. Three levels of the total wind power penetration are examined, which are 25%, 30% and 35%. The Wind Power Planning (WPP) is effected based on the practical weather report for each wind farm location. The ED problem is solved taking in the account the valve point effects of thermal generating units and using Time Varying Acceleration Coefficients (TVAC) based Particle Swarm Optimization method (PSO) due to its effectiveness overcoming the conventional PSO. The model is applied on the well known IEEE 30 bus test system.

A fuzzy tracking control design strategy for wind energy conversion system

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 Takagi-Sugeno (T-S) model is used to represent the PMSG-WT nonlinear system. Next, a fuzzy tracking control based on the concept of virtual desired variables (VDVs) is formulated to simplify the design of the virtual reference model and the control law. Using this concept, a two-stage design procedure is developed: i) determine the VDVs from the output equation of the nonlinear system and the generalized kinematics constraints ii) find the feedback controller gains by solving a set of linear matrix inequalities (LMIs). Finally, simulation results are provided to demonstrate the validity and the effectiveness of the proposed method.