Renewable Energy for Smart and Sustainable Cities, 2018
In this paper, a combined fuzzy-IC variable step size MPPT controller has been proposed. The prop... more In this paper, a combined fuzzy-IC variable step size MPPT controller has been proposed. The proposed MPPT uses the classical IC algorithm where the step size is drived using a fuzzy logic controller. The MPPT controller has been tested and validated under Matlab/Simulink environment where the model of the system including a Solarex MSX-60W module fed by DC-DC boost converter drived using the proposed combined fuzzy-IC controller has been implemented. The simulation results prove the performance of the proposed algorithm to reduce the steady state oscillation leading to the reduction of energy losses between 23.08% and 93.15%. In addition, the proposed MPPT controller improves the dynamic performances by reduction the response time between 54.39% and 82.64% as well as a reducing the overshoot between 10.47% and 33.53% which will reduce effectively the energy losses.
With the world’s fastest growing rate and the prominent part of installed renewable energy source... more With the world’s fastest growing rate and the prominent part of installed renewable energy sources, it is clear that wind is now a mainstream source of energy supply that will play a leading role in the proclaimed fight against climate change. But becoming mainstream means also assuming new responsibilities, including ensuring the reliable and cost-effective functioning of the overall energy system. In this context, this paper deals with the problem of extracting the wind turbine maximum power, power that depends on the random nature of wind speed and the nonlinear characteristic P = f(w) making it more difficult to extract. For this task, we propose a variable step size fuzzy maximum power point tracking controller. The proposed controller is tested on wind turbine based on a doubly-fed induction generator controlled by a field-oriented control implemented using Matlab/Simulink environment. Simulation results are presented showing a net improvement using the proposed MPPT to conver...
Electrical power play a very important rule in 21 century, but nonconventional sources scale down... more Electrical power play a very important rule in 21 century, but nonconventional sources scale down day by day. Not only that concern for the environmental pollution around the world, so now a day’s photovoltaic (PV) power systems are getting more and more widespread with the increase in the energy demand. This paper proposed a Single-Phase nine level inverter with voltage control method using semi conductor power devices for photovoltaic systems. The proposed inverter system gives better voltage regulation, smooth results and efficiency compared to multi-level inverters. The inverter is capable of producing nine levels of output voltage levels (Vpv, 3Vpv/4,Vpv/2, Vpv/4, 0, -Vpv/4, -Vpv/2, -3Vpv/4, -Vpv). The proposed inverter was verified by using simulation of Matlab / Simulink software. Résumé L’énergie électrique joue un rôle très important au 21 siècle, mais on observe une réduction progressive des ressources non conventionnelles. De nos jours, les systèmes photovoltaïques (PV) s...
In this paper, a new modified variable step PO however, failing and inefficiency especially in ca... more In this paper, a new modified variable step PO however, failing and inefficiency especially in case of rapidly changing atmospheric conditions, as well as oscillation around the maximum power point decreasing by the way the convergence speed are the main drawbacks. To solve these drawbacks, a new variable step P&O algorithm using Particle Swarm Optimization based Proportional-Integral- Derivative controller is presented. A theoretical analysis of the proposed algorithm has been provided using a boost converter connected to a Solarex MSX-60 model. Analysis and comparison between the classical fixed step P&O and that developed Particle Swarm Optimization variable step are presented. The efficiency and improvements of the proposed algorithm in transient, steady-state and dynamic responses, related to ripple, overshoot and response time, especially under rapidly changing atmospheric conditions have been demonstrated.
In this paper, we propose a new technique based on genetic algorithm for the extraction of electr... more In this paper, we propose a new technique based on genetic algorithm for the extraction of electrical parameters (the saturation current, the serial resistance, the parallel resistance and the ideality factor). The models with five, seven and nine parameters respectively are considered. The genetic algorithm is used as a tool for optimization to increase the probability of reaching the global minimum solutions in a short time with a very good accuracy based on the minimization of the quadratic error between experimental and theoretical characteristics. The simulation results show that the accuracy of the heuristic approach is effective for modeling in the case of solar modules. The values of squared errors are around zero (5.8297 × 10, 3.0751 × 10 and 1.7243 ×10 for the five, seven and nine parameters models, respectively). On the other hand, the results were obtained after only seven generations which can be considered very fast for a nonlinear optimization problem with many physic...
In this paper, an indirect hybrid fuzzy-P&O variable step size MPPT controller has been proposed.... more In this paper, an indirect hybrid fuzzy-P&O variable step size MPPT controller has been proposed. The classical fixed step P&O MPPT algorithm is the most widely used due to its simplicity and easy implementation. However, this algorithm presents several low performance and steady state oscillation around the MPP affecting the convergence speed and prone to failure especially in fast changing atmospheric conditions. To overcome these drawbacks, the proposed MPPT controller uses the conventional P&O MPPT algorithm where the step size is drived using a fuzzy logic controller. The proposed controller is tested and validated under Matlab/Simulink environment where the entire model of the PV system including a Solarex MSX-60W module fed by DC-DC boost converter drived using the proposed hybrid fuzzy-PO MPPT controller is implemented. Result are presented showing a good improvement of the MPPT performances in dynamic and steady state responses. Résumé Dans cet article, nous proposons un co...
Journal of New Materials for Electrochemical Systems, 2020
Although the great advance in power system production and operation, storage energy technologies ... more Although the great advance in power system production and operation, storage energy technologies and its control techniques can be considered as one of the most important and critical topics of power companies , government and consumers, especially when the power system containing renewable source and storage system simultaneously. In this paper, a novel electrical grid structure including photovoltaic system and storage system based on Superconducting Magnetic Energy Storage (SMES) has been proposed and investigated. The SMES produced power is injected in power system during specific time or when it required. Two control strategies for exchanged power Grid- SMES have been proposed and analyzed, the first uses sliding mode and the second uses field oriented control based on PI controller, also the injected SMES power is controlled by PID controller. In addition, the photovoltaic system operates at the MPP employing PID MPPT method. The proposed control strategies have been tested su...
Mathematical Modelling of Engineering Problems, 2021
This paper proposes a new controller for stability and voltage improvement of power networks equi... more This paper proposes a new controller for stability and voltage improvement of power networks equipped by wind turbine which optimize the dynamical response of power systems performances (voltage and transient stability) after fault. The proposed control algorithm based on new Adaptive Neuro-Fuzzy Inference System (ANFIS) controller to enhance the mechanical power of the synchronous machine into power system. The efficiency of developed control strategy has been tested using IEEE 9 Bus. Simulation results have showed that the proposed method perform better performances over wide range of disturbances for three considered scenarios studied.
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), 2019
This paper concerns the development of a single sensor neural network MPPT controller used to tra... more This paper concerns the development of a single sensor neural network MPPT controller used to track the maximum power of PV generator system. The proposed MPPT controller has been developed in two steps: firstly, the proposed single sensor NN MPPT is trained in offline mode for testing different set of neural network parameters and architectures; secondly, the developed single sensor NN MPPT has been used in online mode to track the output power of the PV system composed of Solarex MSX-60W PV panel powering a resistive load via a DC-DC boost converter controlled using the proposed MPPT. The single sensor NN MPPT has been implemented and compared to the classical single sensor MPPT using Matlab/Simulink. Simulation results show that the proposed single sensor NN MPPT outperforms the classical single sensor MPPT in dynamic as well in static performances. In addition, the proposed single sensor NN MPPT controller can effectively track the maximum power using only one sensor compared to the classical MPPTs using two sensors reducing by the way the cost and the complexity of the PV MPPT controller.
In this paper, a new MPPT controller based on variable step size fuzzy controller have been propo... more In this paper, a new MPPT controller based on variable step size fuzzy controller have been proposed and investigated. The performance of the proposed algorithm are analyzed under different atmospheric conditions using Matlab/Simulink environment using boost DC-DC converter connected to Solarex MSX-60 panel. The results have demonstrated the high performances of the proposed technique showing good improvements of the proposed algorithm to track effectively the maximum power point with low oscillation, low ripple, low overshoot and good rapidity in slow or fast changing atmospheric conditions.
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2019
This paper proposes an innovative technique for designing sliding mode maximum power point tracki... more This paper proposes an innovative technique for designing sliding mode maximum power point tracking (MPPT) controller for photovoltaic (PV) systems under fast changing atmospheric conditions. The particle swarm optimization (PSO) algorithm is used to find the optimal sliding mode controller (SMC) gains used to drive the variable step of the conventional perturb and observe (P&O) algorithm. The system operates in two modes: offline mode required for testing different set of SMC gains leading to optimum values; and online mode where the SMC optimum gains were used to drive the variable step of the P&O MPPT. The effectiveness of the proposed MPPT has been studied successfully using a Solarex MSX‐60 module connected to a boost DC‐DC converter powering a resistive load. Comparison study of the proposed MPPT with the classical fixed step P&O is presented showing a good efficiency and improvements of the proposed algorithm in transient, steady‐state, and dynamic responses, especially under fast changing atmospheric conditions. Besides using PSO to tune the SMC parameters, our main contribution consists of improving the performance of proposed algorithm to track effectively the maximum power point (MPP) with low oscillation, low ripple, low overshoot, and good rapidity in slow and fast changing atmospheric conditions compared with conventional P&O.
The International Journal of Advanced Manufacturing Technology, 2018
In this paper, a novel maximum power point tracking (MPPT) strategy of photovoltaic system has be... more In this paper, a novel maximum power point tracking (MPPT) strategy of photovoltaic system has been proposed and investigated. The suggested method is based on modified variable step-size perturbation and observation P&O strategy, which it can overcome several drawbacks and limitations of previous developed MPPT methods especially oscillations around the MPP, accuracy, and the convergence speed under rapidly changing atmospheric conditions. To demonstrate the efficiency of the proposed method, both simulation model and experimental prototype have been developed and tested effectively using photovoltaic system based on Solarex MSX-60 panel and forward converter controlled by dsPIC30F2010 controller. Obtained results demonstrate that the proposed adaptive step-length perturbation and observation P&O strategy can offer many benefits compared to conventional P&O MPPT method and other methods developed previously in terms of low ripple, low overshoot, and low response time. The proposed adaptive step-size MPPT improves drastically the performances in static mode (oscillation reduction ratio around 75.00%) as well as in dynamic mode (convergence time reduction ratio around 91.67%) improving by the way the transferred available power.
Renewable Energy for Smart and Sustainable Cities, 2018
In this paper, a combined fuzzy-IC variable step size MPPT controller has been proposed. The prop... more In this paper, a combined fuzzy-IC variable step size MPPT controller has been proposed. The proposed MPPT uses the classical IC algorithm where the step size is drived using a fuzzy logic controller. The MPPT controller has been tested and validated under Matlab/Simulink environment where the model of the system including a Solarex MSX-60W module fed by DC-DC boost converter drived using the proposed combined fuzzy-IC controller has been implemented. The simulation results prove the performance of the proposed algorithm to reduce the steady state oscillation leading to the reduction of energy losses between 23.08% and 93.15%. In addition, the proposed MPPT controller improves the dynamic performances by reduction the response time between 54.39% and 82.64% as well as a reducing the overshoot between 10.47% and 33.53% which will reduce effectively the energy losses.
With the world’s fastest growing rate and the prominent part of installed renewable energy source... more With the world’s fastest growing rate and the prominent part of installed renewable energy sources, it is clear that wind is now a mainstream source of energy supply that will play a leading role in the proclaimed fight against climate change. But becoming mainstream means also assuming new responsibilities, including ensuring the reliable and cost-effective functioning of the overall energy system. In this context, this paper deals with the problem of extracting the wind turbine maximum power, power that depends on the random nature of wind speed and the nonlinear characteristic P = f(w) making it more difficult to extract. For this task, we propose a variable step size fuzzy maximum power point tracking controller. The proposed controller is tested on wind turbine based on a doubly-fed induction generator controlled by a field-oriented control implemented using Matlab/Simulink environment. Simulation results are presented showing a net improvement using the proposed MPPT to conver...
Electrical power play a very important rule in 21 century, but nonconventional sources scale down... more Electrical power play a very important rule in 21 century, but nonconventional sources scale down day by day. Not only that concern for the environmental pollution around the world, so now a day’s photovoltaic (PV) power systems are getting more and more widespread with the increase in the energy demand. This paper proposed a Single-Phase nine level inverter with voltage control method using semi conductor power devices for photovoltaic systems. The proposed inverter system gives better voltage regulation, smooth results and efficiency compared to multi-level inverters. The inverter is capable of producing nine levels of output voltage levels (Vpv, 3Vpv/4,Vpv/2, Vpv/4, 0, -Vpv/4, -Vpv/2, -3Vpv/4, -Vpv). The proposed inverter was verified by using simulation of Matlab / Simulink software. Résumé L’énergie électrique joue un rôle très important au 21 siècle, mais on observe une réduction progressive des ressources non conventionnelles. De nos jours, les systèmes photovoltaïques (PV) s...
In this paper, a new modified variable step PO however, failing and inefficiency especially in ca... more In this paper, a new modified variable step PO however, failing and inefficiency especially in case of rapidly changing atmospheric conditions, as well as oscillation around the maximum power point decreasing by the way the convergence speed are the main drawbacks. To solve these drawbacks, a new variable step P&O algorithm using Particle Swarm Optimization based Proportional-Integral- Derivative controller is presented. A theoretical analysis of the proposed algorithm has been provided using a boost converter connected to a Solarex MSX-60 model. Analysis and comparison between the classical fixed step P&O and that developed Particle Swarm Optimization variable step are presented. The efficiency and improvements of the proposed algorithm in transient, steady-state and dynamic responses, related to ripple, overshoot and response time, especially under rapidly changing atmospheric conditions have been demonstrated.
In this paper, we propose a new technique based on genetic algorithm for the extraction of electr... more In this paper, we propose a new technique based on genetic algorithm for the extraction of electrical parameters (the saturation current, the serial resistance, the parallel resistance and the ideality factor). The models with five, seven and nine parameters respectively are considered. The genetic algorithm is used as a tool for optimization to increase the probability of reaching the global minimum solutions in a short time with a very good accuracy based on the minimization of the quadratic error between experimental and theoretical characteristics. The simulation results show that the accuracy of the heuristic approach is effective for modeling in the case of solar modules. The values of squared errors are around zero (5.8297 × 10, 3.0751 × 10 and 1.7243 ×10 for the five, seven and nine parameters models, respectively). On the other hand, the results were obtained after only seven generations which can be considered very fast for a nonlinear optimization problem with many physic...
In this paper, an indirect hybrid fuzzy-P&O variable step size MPPT controller has been proposed.... more In this paper, an indirect hybrid fuzzy-P&O variable step size MPPT controller has been proposed. The classical fixed step P&O MPPT algorithm is the most widely used due to its simplicity and easy implementation. However, this algorithm presents several low performance and steady state oscillation around the MPP affecting the convergence speed and prone to failure especially in fast changing atmospheric conditions. To overcome these drawbacks, the proposed MPPT controller uses the conventional P&O MPPT algorithm where the step size is drived using a fuzzy logic controller. The proposed controller is tested and validated under Matlab/Simulink environment where the entire model of the PV system including a Solarex MSX-60W module fed by DC-DC boost converter drived using the proposed hybrid fuzzy-PO MPPT controller is implemented. Result are presented showing a good improvement of the MPPT performances in dynamic and steady state responses. Résumé Dans cet article, nous proposons un co...
Journal of New Materials for Electrochemical Systems, 2020
Although the great advance in power system production and operation, storage energy technologies ... more Although the great advance in power system production and operation, storage energy technologies and its control techniques can be considered as one of the most important and critical topics of power companies , government and consumers, especially when the power system containing renewable source and storage system simultaneously. In this paper, a novel electrical grid structure including photovoltaic system and storage system based on Superconducting Magnetic Energy Storage (SMES) has been proposed and investigated. The SMES produced power is injected in power system during specific time or when it required. Two control strategies for exchanged power Grid- SMES have been proposed and analyzed, the first uses sliding mode and the second uses field oriented control based on PI controller, also the injected SMES power is controlled by PID controller. In addition, the photovoltaic system operates at the MPP employing PID MPPT method. The proposed control strategies have been tested su...
Mathematical Modelling of Engineering Problems, 2021
This paper proposes a new controller for stability and voltage improvement of power networks equi... more This paper proposes a new controller for stability and voltage improvement of power networks equipped by wind turbine which optimize the dynamical response of power systems performances (voltage and transient stability) after fault. The proposed control algorithm based on new Adaptive Neuro-Fuzzy Inference System (ANFIS) controller to enhance the mechanical power of the synchronous machine into power system. The efficiency of developed control strategy has been tested using IEEE 9 Bus. Simulation results have showed that the proposed method perform better performances over wide range of disturbances for three considered scenarios studied.
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), 2019
This paper concerns the development of a single sensor neural network MPPT controller used to tra... more This paper concerns the development of a single sensor neural network MPPT controller used to track the maximum power of PV generator system. The proposed MPPT controller has been developed in two steps: firstly, the proposed single sensor NN MPPT is trained in offline mode for testing different set of neural network parameters and architectures; secondly, the developed single sensor NN MPPT has been used in online mode to track the output power of the PV system composed of Solarex MSX-60W PV panel powering a resistive load via a DC-DC boost converter controlled using the proposed MPPT. The single sensor NN MPPT has been implemented and compared to the classical single sensor MPPT using Matlab/Simulink. Simulation results show that the proposed single sensor NN MPPT outperforms the classical single sensor MPPT in dynamic as well in static performances. In addition, the proposed single sensor NN MPPT controller can effectively track the maximum power using only one sensor compared to the classical MPPTs using two sensors reducing by the way the cost and the complexity of the PV MPPT controller.
In this paper, a new MPPT controller based on variable step size fuzzy controller have been propo... more In this paper, a new MPPT controller based on variable step size fuzzy controller have been proposed and investigated. The performance of the proposed algorithm are analyzed under different atmospheric conditions using Matlab/Simulink environment using boost DC-DC converter connected to Solarex MSX-60 panel. The results have demonstrated the high performances of the proposed technique showing good improvements of the proposed algorithm to track effectively the maximum power point with low oscillation, low ripple, low overshoot and good rapidity in slow or fast changing atmospheric conditions.
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2019
This paper proposes an innovative technique for designing sliding mode maximum power point tracki... more This paper proposes an innovative technique for designing sliding mode maximum power point tracking (MPPT) controller for photovoltaic (PV) systems under fast changing atmospheric conditions. The particle swarm optimization (PSO) algorithm is used to find the optimal sliding mode controller (SMC) gains used to drive the variable step of the conventional perturb and observe (P&O) algorithm. The system operates in two modes: offline mode required for testing different set of SMC gains leading to optimum values; and online mode where the SMC optimum gains were used to drive the variable step of the P&O MPPT. The effectiveness of the proposed MPPT has been studied successfully using a Solarex MSX‐60 module connected to a boost DC‐DC converter powering a resistive load. Comparison study of the proposed MPPT with the classical fixed step P&O is presented showing a good efficiency and improvements of the proposed algorithm in transient, steady‐state, and dynamic responses, especially under fast changing atmospheric conditions. Besides using PSO to tune the SMC parameters, our main contribution consists of improving the performance of proposed algorithm to track effectively the maximum power point (MPP) with low oscillation, low ripple, low overshoot, and good rapidity in slow and fast changing atmospheric conditions compared with conventional P&O.
The International Journal of Advanced Manufacturing Technology, 2018
In this paper, a novel maximum power point tracking (MPPT) strategy of photovoltaic system has be... more In this paper, a novel maximum power point tracking (MPPT) strategy of photovoltaic system has been proposed and investigated. The suggested method is based on modified variable step-size perturbation and observation P&O strategy, which it can overcome several drawbacks and limitations of previous developed MPPT methods especially oscillations around the MPP, accuracy, and the convergence speed under rapidly changing atmospheric conditions. To demonstrate the efficiency of the proposed method, both simulation model and experimental prototype have been developed and tested effectively using photovoltaic system based on Solarex MSX-60 panel and forward converter controlled by dsPIC30F2010 controller. Obtained results demonstrate that the proposed adaptive step-length perturbation and observation P&O strategy can offer many benefits compared to conventional P&O MPPT method and other methods developed previously in terms of low ripple, low overshoot, and low response time. The proposed adaptive step-size MPPT improves drastically the performances in static mode (oscillation reduction ratio around 75.00%) as well as in dynamic mode (convergence time reduction ratio around 91.67%) improving by the way the transferred available power.
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