Tarek Bouktir | Universite Farehat Abes Setif (original) (raw)

Papers by Tarek Bouktir

The aim of this paper is to present a new fuzzy tracking strategy for a permanent magnet synchron... more The aim of this paper is to present a new fuzzy tracking strategy for a permanent magnet synchronous machine (PMSM) by using Takagi-Sugeno models (T-S). A feedback-based fuzzy control with H ∞ tracking performance and a concept of virtual reference model are combined to develop a fuzzy tracking controller capable to track a reference signal and ensure a minimum effect of disturbance on the PMSM system. First, a T-S fuzzy model is used to represent the PMSM nonlinear system with disturbance. Next, an integral 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. Finally, based on this concept, a two-stage design procedure is developed: i) determine the VDVs from the nonlinear system output equation and generalized kinematics constraints ii) calculate the feedback controller gains by solving a set of linear matrix inequalities (LMIs). Simulation results are provided to demonstrate the validity and the effectiveness of the proposed method.

Wind energy conversion systems are very different in nature from conventional generators. Therefo... more Wind energy conversion systems are very different in nature from conventional generators. Therefore dynamic studies must be addressed in order to integrate wind power into the power system. Angular stability assessment of wind power generator is one of main issues in power system security and operation. The angular stability for the wind power generator is determined by its corresponding Critical Clearing Time (CCT). In this paper, the effect of wind power on the transient fault behavior is investigated by replacing the power generated by two main types of wind turbine, increasing gradually a rate of wind power penetration and changing the location of wind resources. The simulation analysis was established on a 14 bus IEEE test system by PSAT/Matlab, which gives access to an extensive library of grid components, and relevant wind turbine model.

International Journal of Computational Intelligence Research, 2007

This paper reports on a particle swarm optimization (PSO) method for solving the optimal power fl... more This paper reports on a particle swarm optimization (PSO) method for solving the optimal power flow problem (OPF). 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 generator real and reactive power outputs, bus voltages, shunt capacitors/reactors and power flow of transmission lines. The proposed approach has been evaluated on an IEEE 30-bus test system. The results obtained with the proposed approach are presented and compared favorably with results of genetic algorithm technique.

Applied Soft Computing, 2008

This paper presents a fuzzy adaptive control suitable for motion control of multi-link robot mani... more This paper presents a fuzzy adaptive control suitable for motion control of multi-link robot manipulators with structured and unstructured uncertainties. When joint velocities are available, full state fuzzy adaptive feedback control is designed to ensure the stability of the closed loop dynamic. If the joint velocities are not measurable, an observer is introduced and an adaptive output feedback control is designed based on the estimated velocities. In the proposed control scheme, we need not derive the linear formulation of robot dynamic equation and tune the parameters. To reduce the number of fuzzy rules of the fuzzy controller, we consider the properties of robot dynamics and the decomposition of the uncertainties terms. The proposed controller is robust against uncertainties and external disturbance. Further, it is shown that required stability conditions, in both cases, can be formulated as LMI problems and solved using dedicated software. The validity of the control scheme is demonstrated by computer simulations on a two-link robot manipulator. #

In this paper a minimum-loss control algorithm MLCA is applied to improve high efficiency of an i... more In this paper a minimum-loss control algorithm MLCA is applied to improve high efficiency of an induction motor. The efficiency optimisation is done by adjusting the rotor flux level to an optimal value as a function of the operating conditions (such as torque and speed). Magnetic saturation and skin effect are taken into account and their influence is discussed. The application of the generalized predictive control GPC algorithm is based on the input-output linearised model. Simulation studies show the performance of the proposed algorithm.

This paper presents a fuzzy controlled parallel particle swarm optimization approach based decomp... more This paper presents a fuzzy controlled parallel particle swarm optimization approach based decomposed network (FCP-PSO) to solving the large economic power dispatch with non-smooth cost fuel functions. The proposed approach combines practical experience extracted from global database formulated in fuzzy rules, the adaptive PSO executed in parallel based in decomposed network procedure as a local search to enhance the search space around the global search. The robustness of the proposed modified PSO tested on 40 generating units with prohibited zones and compared with recent hybrid global optimization methods. The results show that the proposed approach can converge to the near solution and obtain a competitive solution at critical situation and with a reasonable time.

In this paper an hybrid Genetic Algorithm and Fuzzy Logic rules is proposed to minimize the gener... more In this paper an hybrid Genetic Algorithm and Fuzzy Logic rules is proposed to minimize the generator fuel cost with multi shunt Flexible AC Transmission Systems (FACTS). The problem is decomposed into, the optimal power generation subproblem that is searched by Genetic Algorithm and a simple practical reasoning fuzzy rules subproblem to control the reactive power exchanged with the network. The proposed method guarantees the near optimal solution and remarkably reduces the computation time. A global database generated based in reactive index sensitivity (RIS) as a flexible tool to choose economically the size of the shunt FACTS devices. This proposed approach is implemented with Matlab program with various case studies, and compared with conventional method and genetic algorithm (GA). The results show that the HGF can converge to optimum solution faster than other methods, and obtains the solution with high accuracy.

This paper presents solution of optimal power flow (OPF) problem of medium-sized power systems vi... more 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 generator real and reactive power outputs, bus voltages, shunt capacitors/reactors, transformers tapsetting and power flow of transmission lines. CPU times can be reduced by decomposing the optimization constraints of the power system to active constraints manipulated directly by the genetic algorithm, and passive constraints maintained in their soft limits using a conventional constraint load flow. Simulation results on the IEEE 30-bus network with 6 generators show that by this method, an optimum solution can be given quickly. Further analyses indicate that this method is effective for medium-scale power systems.

International Journal of Electrical Power & Energy Systems, 2010

This paper presents an efficient parallel GA (EPGA) for the solution of large scale OPF. The deco... more This paper presents an efficient parallel GA (EPGA) for the solution of large scale OPF. The decomposition procedure decomposes the original problem into several interacting sub problems that can be solved with smaller sub populations and coordinate the solution of these sub problems to achieve the solution of the whole problem, the length of the original chromosome is reduced successively based on the decomposition level and adapted with the topology of the new partition. Partial decomposed active power demand added as a new variable and searched within the active power generation variables of the new decomposed chromosome. The strategy of the OPF problem is decomposed in two sub-problems, the first sub-problem related to active power planning to minimize the fuel cost function, and the second sub-problem designed to make corrections to the voltage deviation and reactive power violation based in an efficient reactive power planning of multi Static Var Compensator (SVC). Numerical results on two test systems IEEE 30-bus and IEEE 118-bus are presented and compared with results of others competitive global approach. The results show that the approach proposed can converge to the optimum solution, and obtains the solution with high accuracy.

This paper presents solution of optimal power flow (OPF) problem of a power system via a genetic ... more 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/reactors, transformers tap-setting and power flow of transmission lines. Simulation results on the Algerian Electrical Network show that the genetic algorithm with real coding converges quickly to the global optimum.

The problem of finding out which positions are the most effective and how many flexible AC transm... more The problem of finding out which positions are the most effective and how many flexible AC transmission system (FACTS) devices have to be installed and controlled in a deregulated environment on economic basis is a question of great significance for the dispatcher. This paper presents a flexible approach based in practical reasoning rules from fuzzy logic theory capable of governing multiple static VAr compensator (SVC) and a group of static compensator (STATCOM) by a flexible adjustment of reactive power injected or absorbed from the network. The main purpose of the presented coordinated strategy is the improvement of index power quality. Reactive index sensitivity coordinated with an expert rules to form a global database as a flexible tool to make an efficient decision about reactive power dispatch and to choose the size of the shunt FACTS controllers. Simulation results show clearly the advantage of this approach to enhance the reactive power planning.

... Alternatively, the controller may be set to control one or of these parameters in any combina... more ... Alternatively, the controller may be set to control one or of these parameters in any combination [4]- [7]. The active power demanded by the series converter is drawn by the shunt converter from the AC Network and supplied to bus m through the DC link. ...

Electric Power Components and Systems, 2003

This paper presents the methodology used in the development of an object-oriented optimal power f... more This paper presents the methodology used in the development of an object-oriented optimal power flow program. The optimal power flow problem is modeled as a class inherited from a load flow class and has direct access to a main power system object class. Each power system component, such as generators, transformers, transmission lines, loads, and capacitor banks, is modeled as

This paper describes an efficient software platform for power system analysis. Making use of the ... more 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 of all electrical objects are defined using Power System Application Data Dictionary (PSADD). The objects interact and cooperate among themselves via ultimate messagepassing paradigms. All parts of the software (numerical methods, database, GUI…) have been built in terms of objects. Borland C++Builder 5 was used to develop this compact, flexible and easy-to-maintain program. This software may be used in educational purpose or in modeling, planning and analyzing of the power system.

ABSTRACT This paper presents a combined genetic algorithm and fuzzy logic rules to enhance the op... more ABSTRACT This paper presents a combined genetic algorithm and fuzzy logic rules to enhance the optimal power flow (OPF) with consideration of multi shunt flexible AC transmission systems (FACTS). The OPF problem is formulated as a nonlinear constrained objective optimization problem with both equality and inequality constraints. The problem is decomposed into, the optimal power generation subproblem that is searched by a flexible genetic algorithm which crossover and mutation adjusted by fuzzy expert rules and a simple practical reasoning fuzzy rules designed as a second subproblem to control the reactive power exchanged with the network. The proposed method guarantees the near optimal solution and remarkably reduces the computation time. This proposed approach is implemented with Matlab program and applied to the medium 59 bus of the Algerian network. The optimization results are compared to the solution given by the standard GA and ant colony method (ACO). This comparison confirms the efficiency of the proposed approach which makes it promising to solve the OPF with consideration of FACTS devices.

The problem of finding out which positions are the most effective and how many Flexible AC Transm... more The problem of finding out which positions are the most effective and how many Flexible AC Transmission System (FACTS) devices have to be installed and controlled in a deregulated environment on economic basis is a question of great significance for the Dispatcher. This paper presents a flexible approach based in practical reasoning rules from fuzzy logic theory capable of governing

The application of a global control based on the combination of the voltage, active and reactive ... more The application of a global control based on the combination of the voltage, active and reactive power to investigate and fully understand the control capabilities and the impact of the UPFC in power flow regulation is presented. The models are presented and analysed in details in this paper. The effectiveness and convergence of the method proposed is tested on the 30 bus IEEE system. The results prove that the application of UPFC in electric power system is intended for the control of power flow, improvement of stability, voltage profile management, power factor correction, and loss minimisation

This paper presents an improved parallel particle swarm optimization approach (IPPSO) based decom... more This paper presents an improved parallel particle swarm optimization approach (IPPSO) based decomposed network for economic power dispatch with consideration of practical generator constraints. The range of partial power demand corresponding to the partial output powers near the global optimal solution is determined by a flexible decomposed network strategy and then the final optimal solution is obtained by parallel particle

The aim of this paper is to present a new fuzzy tracking strategy for a permanent magnet synchron... more The aim of this paper is to present a new fuzzy tracking strategy for a permanent magnet synchronous machine (PMSM) by using Takagi-Sugeno models (T-S). A feedback-based fuzzy control with H ∞ tracking performance and a concept of virtual reference model are combined to develop a fuzzy tracking controller capable to track a reference signal and ensure a minimum effect of disturbance on the PMSM system. First, a T-S fuzzy model is used to represent the PMSM nonlinear system with disturbance. Next, an integral 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. Finally, based on this concept, a two-stage design procedure is developed: i) determine the VDVs from the nonlinear system output equation and generalized kinematics constraints ii) calculate the feedback controller gains by solving a set of linear matrix inequalities (LMIs). Simulation results are provided to demonstrate the validity and the effectiveness of the proposed method.

Wind energy conversion systems are very different in nature from conventional generators. Therefo... more Wind energy conversion systems are very different in nature from conventional generators. Therefore dynamic studies must be addressed in order to integrate wind power into the power system. Angular stability assessment of wind power generator is one of main issues in power system security and operation. The angular stability for the wind power generator is determined by its corresponding Critical Clearing Time (CCT). In this paper, the effect of wind power on the transient fault behavior is investigated by replacing the power generated by two main types of wind turbine, increasing gradually a rate of wind power penetration and changing the location of wind resources. The simulation analysis was established on a 14 bus IEEE test system by PSAT/Matlab, which gives access to an extensive library of grid components, and relevant wind turbine model.

International Journal of Computational Intelligence Research, 2007

This paper reports on a particle swarm optimization (PSO) method for solving the optimal power fl... more This paper reports on a particle swarm optimization (PSO) method for solving the optimal power flow problem (OPF). 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 generator real and reactive power outputs, bus voltages, shunt capacitors/reactors and power flow of transmission lines. The proposed approach has been evaluated on an IEEE 30-bus test system. The results obtained with the proposed approach are presented and compared favorably with results of genetic algorithm technique.

Applied Soft Computing, 2008

This paper presents a fuzzy adaptive control suitable for motion control of multi-link robot mani... more This paper presents a fuzzy adaptive control suitable for motion control of multi-link robot manipulators with structured and unstructured uncertainties. When joint velocities are available, full state fuzzy adaptive feedback control is designed to ensure the stability of the closed loop dynamic. If the joint velocities are not measurable, an observer is introduced and an adaptive output feedback control is designed based on the estimated velocities. In the proposed control scheme, we need not derive the linear formulation of robot dynamic equation and tune the parameters. To reduce the number of fuzzy rules of the fuzzy controller, we consider the properties of robot dynamics and the decomposition of the uncertainties terms. The proposed controller is robust against uncertainties and external disturbance. Further, it is shown that required stability conditions, in both cases, can be formulated as LMI problems and solved using dedicated software. The validity of the control scheme is demonstrated by computer simulations on a two-link robot manipulator. #

In this paper a minimum-loss control algorithm MLCA is applied to improve high efficiency of an i... more In this paper a minimum-loss control algorithm MLCA is applied to improve high efficiency of an induction motor. The efficiency optimisation is done by adjusting the rotor flux level to an optimal value as a function of the operating conditions (such as torque and speed). Magnetic saturation and skin effect are taken into account and their influence is discussed. The application of the generalized predictive control GPC algorithm is based on the input-output linearised model. Simulation studies show the performance of the proposed algorithm.

This paper presents a fuzzy controlled parallel particle swarm optimization approach based decomp... more This paper presents a fuzzy controlled parallel particle swarm optimization approach based decomposed network (FCP-PSO) to solving the large economic power dispatch with non-smooth cost fuel functions. The proposed approach combines practical experience extracted from global database formulated in fuzzy rules, the adaptive PSO executed in parallel based in decomposed network procedure as a local search to enhance the search space around the global search. The robustness of the proposed modified PSO tested on 40 generating units with prohibited zones and compared with recent hybrid global optimization methods. The results show that the proposed approach can converge to the near solution and obtain a competitive solution at critical situation and with a reasonable time.

In this paper an hybrid Genetic Algorithm and Fuzzy Logic rules is proposed to minimize the gener... more In this paper an hybrid Genetic Algorithm and Fuzzy Logic rules is proposed to minimize the generator fuel cost with multi shunt Flexible AC Transmission Systems (FACTS). The problem is decomposed into, the optimal power generation subproblem that is searched by Genetic Algorithm and a simple practical reasoning fuzzy rules subproblem to control the reactive power exchanged with the network. The proposed method guarantees the near optimal solution and remarkably reduces the computation time. A global database generated based in reactive index sensitivity (RIS) as a flexible tool to choose economically the size of the shunt FACTS devices. This proposed approach is implemented with Matlab program with various case studies, and compared with conventional method and genetic algorithm (GA). The results show that the HGF can converge to optimum solution faster than other methods, and obtains the solution with high accuracy.

This paper presents solution of optimal power flow (OPF) problem of medium-sized power systems vi... more 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 generator real and reactive power outputs, bus voltages, shunt capacitors/reactors, transformers tapsetting and power flow of transmission lines. CPU times can be reduced by decomposing the optimization constraints of the power system to active constraints manipulated directly by the genetic algorithm, and passive constraints maintained in their soft limits using a conventional constraint load flow. Simulation results on the IEEE 30-bus network with 6 generators show that by this method, an optimum solution can be given quickly. Further analyses indicate that this method is effective for medium-scale power systems.

International Journal of Electrical Power & Energy Systems, 2010

This paper presents an efficient parallel GA (EPGA) for the solution of large scale OPF. The deco... more This paper presents an efficient parallel GA (EPGA) for the solution of large scale OPF. The decomposition procedure decomposes the original problem into several interacting sub problems that can be solved with smaller sub populations and coordinate the solution of these sub problems to achieve the solution of the whole problem, the length of the original chromosome is reduced successively based on the decomposition level and adapted with the topology of the new partition. Partial decomposed active power demand added as a new variable and searched within the active power generation variables of the new decomposed chromosome. The strategy of the OPF problem is decomposed in two sub-problems, the first sub-problem related to active power planning to minimize the fuel cost function, and the second sub-problem designed to make corrections to the voltage deviation and reactive power violation based in an efficient reactive power planning of multi Static Var Compensator (SVC). Numerical results on two test systems IEEE 30-bus and IEEE 118-bus are presented and compared with results of others competitive global approach. The results show that the approach proposed can converge to the optimum solution, and obtains the solution with high accuracy.

This paper presents solution of optimal power flow (OPF) problem of a power system via a genetic ... more 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/reactors, transformers tap-setting and power flow of transmission lines. Simulation results on the Algerian Electrical Network show that the genetic algorithm with real coding converges quickly to the global optimum.

The problem of finding out which positions are the most effective and how many flexible AC transm... more The problem of finding out which positions are the most effective and how many flexible AC transmission system (FACTS) devices have to be installed and controlled in a deregulated environment on economic basis is a question of great significance for the dispatcher. This paper presents a flexible approach based in practical reasoning rules from fuzzy logic theory capable of governing multiple static VAr compensator (SVC) and a group of static compensator (STATCOM) by a flexible adjustment of reactive power injected or absorbed from the network. The main purpose of the presented coordinated strategy is the improvement of index power quality. Reactive index sensitivity coordinated with an expert rules to form a global database as a flexible tool to make an efficient decision about reactive power dispatch and to choose the size of the shunt FACTS controllers. Simulation results show clearly the advantage of this approach to enhance the reactive power planning.

... Alternatively, the controller may be set to control one or of these parameters in any combina... more ... Alternatively, the controller may be set to control one or of these parameters in any combination [4]- [7]. The active power demanded by the series converter is drawn by the shunt converter from the AC Network and supplied to bus m through the DC link. ...

Electric Power Components and Systems, 2003

This paper presents the methodology used in the development of an object-oriented optimal power f... more This paper presents the methodology used in the development of an object-oriented optimal power flow program. The optimal power flow problem is modeled as a class inherited from a load flow class and has direct access to a main power system object class. Each power system component, such as generators, transformers, transmission lines, loads, and capacitor banks, is modeled as

This paper describes an efficient software platform for power system analysis. Making use of the ... more 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 of all electrical objects are defined using Power System Application Data Dictionary (PSADD). The objects interact and cooperate among themselves via ultimate messagepassing paradigms. All parts of the software (numerical methods, database, GUI…) have been built in terms of objects. Borland C++Builder 5 was used to develop this compact, flexible and easy-to-maintain program. This software may be used in educational purpose or in modeling, planning and analyzing of the power system.

ABSTRACT This paper presents a combined genetic algorithm and fuzzy logic rules to enhance the op... more ABSTRACT This paper presents a combined genetic algorithm and fuzzy logic rules to enhance the optimal power flow (OPF) with consideration of multi shunt flexible AC transmission systems (FACTS). The OPF problem is formulated as a nonlinear constrained objective optimization problem with both equality and inequality constraints. The problem is decomposed into, the optimal power generation subproblem that is searched by a flexible genetic algorithm which crossover and mutation adjusted by fuzzy expert rules and a simple practical reasoning fuzzy rules designed as a second subproblem to control the reactive power exchanged with the network. The proposed method guarantees the near optimal solution and remarkably reduces the computation time. This proposed approach is implemented with Matlab program and applied to the medium 59 bus of the Algerian network. The optimization results are compared to the solution given by the standard GA and ant colony method (ACO). This comparison confirms the efficiency of the proposed approach which makes it promising to solve the OPF with consideration of FACTS devices.

The problem of finding out which positions are the most effective and how many Flexible AC Transm... more The problem of finding out which positions are the most effective and how many Flexible AC Transmission System (FACTS) devices have to be installed and controlled in a deregulated environment on economic basis is a question of great significance for the Dispatcher. This paper presents a flexible approach based in practical reasoning rules from fuzzy logic theory capable of governing

The application of a global control based on the combination of the voltage, active and reactive ... more The application of a global control based on the combination of the voltage, active and reactive power to investigate and fully understand the control capabilities and the impact of the UPFC in power flow regulation is presented. The models are presented and analysed in details in this paper. The effectiveness and convergence of the method proposed is tested on the 30 bus IEEE system. The results prove that the application of UPFC in electric power system is intended for the control of power flow, improvement of stability, voltage profile management, power factor correction, and loss minimisation

This paper presents an improved parallel particle swarm optimization approach (IPPSO) based decom... more This paper presents an improved parallel particle swarm optimization approach (IPPSO) based decomposed network for economic power dispatch with consideration of practical generator constraints. The range of partial power demand corresponding to the partial output powers near the global optimal solution is determined by a flexible decomposed network strategy and then the final optimal solution is obtained by parallel particle