Simulation and Hardware Implementation of FPGA Based Controller for Hybrid Power System

Nagaraj, R.; Panigrahi, B. K.

doi:10.12720/ijoee.3.2.86-93

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…These interconnections can be done with different possible topologies divided into two classes: feedforward and feedback networks. Multi Layer Perceptron (MLP) ANNs are the most known and utilized feedforward neural networks which have only one condition: the direction of the transmitted information must be from inputs to outputs without back-loops (Nagaraj & Panigrahi, 2015).…”

Section: Neural Network Controllermentioning

confidence: 99%

Hardware Implementation of Hybrid Wind-Solar Energy System for Pumping Water Based on Artificial Neural Network Controller

Zarrad¹,

Hajjaji²,

Mansouri³

2019

STUD INFORM CONTROL

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Solar energy and wind energy are being used more and more as a renewable source by various countries for different purposes. These energies offer many advantages and have a unique limitation due to the instability of energy. The aim of this paper is to command and synchronize the power flow of one hybrid system using two sources of energy (solar and wind). The first contribution of the present work is represented by the utilization of an Artificial Neural Network controller to command the maximum power point at fixed atmospheric conditions. The second contribution is represented by the optimization of the system respecting real-time constraints in order to increase the generating system performance. For this, the simulation and hardware implementation of the proposed algorithm are accomplished using MATLAB/SIMULINK and a Xilinx System Generator. The simulation results confirm that the considered system presents acceptable execution real time performance and precision. The proposed designed model and its control strategy give the opportunity to optimize the hybrid power system performance, which is utilized in rural pumping applications.

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Section: Neural Network Controllermentioning

confidence: 99%

Hardware Implementation of Hybrid Wind-Solar Energy System for Pumping Water Based on Artificial Neural Network Controller

Zarrad¹,

Hajjaji²,

Mansouri³

2019

STUD INFORM CONTROL

View full text Add to dashboard Cite

show abstract

“…These interconnections can be done with different possible topologies divided into two classes: feedforward and feedback networks. Multilayer Perceptron (MLP) ANNs are very known and utilized feedforward neural networks which have only one condition: direction of the transmitted information must be from inputs to outputs without backloops [31,32]. The architecture of a neural network with two hidden layers of the wind system consists of using MLP networks which include input, hidden and output layers with respected weight, and transfer functions (Figure 9).…”

Section: International Journal Of Photoenergymentioning

confidence: 99%

Sizing Control and Hardware Implementation of a Hybrid Wind-Solar Power System, Based on an ANN Approach, for Pumping Water

Zarrad

Hajjaji

Aymen

et al. 2019

International Journal of Photoenergy

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In our day, solar energy and wind energy are becoming more and more used as renewable sources by various countries for different uses such as in an isolated home. These energies admit a unique limitation related to the characteristic of energy instability. For this, the objective of this manuscript is to command and synchronize the power flow of a hybrid system using two sources of energy (solar and wind). The first contribution of our work is the utilization of an artificial neural network controller to command, at fixed atmospheric conditions, the maximum power point. The second contribution is the optimization of the system respecting real-time constraints to increase a generating system performance. As a matter of fact, the proposed system and the controller are modeled using MATLAB/Simulink and a Xilinx System Generator is utilized for hardware implementation. The simulation results, compared with other works in the literature, present high performance, efficiency, and precision. The suggested system and its control strategy give the opportunity of optimizing the hybrid power system performance, which is utilized in rural pumping or other smart house applications.

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“…In a second step, by using the test-error approach, we try to reduce the width of the data while keeping the performance and the synchronization between blocks. The utilized general fixed-point format is 24 bits [25,26] which guarantees the same performance as MATLAB.…”

Section: Implementation On Fpgamentioning

confidence: 99%

Hardware Implementation of a Fuzzy Logic Controller for a Hybrid Wind-Solar System in an Isolated Site

Aymen

Zarrad

Hajjaji

et al. 2018

International Journal of Photoenergy

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In this paper, two main contributions are presented to manage the power flow between a wind turbine and a solar power system. The first one is to use the fuzzy logic controller as an objective to find the maximum power point tracking, applied to a hybrid wind-solar system, at fixed atmospheric conditions. The second one is to respond to real-time control system constraints and to improve the generating system performance. For this, a hardware implementation of the proposed algorithm is performed using the Xilinx System Generator. The experimental simulation results show that the suggested system presents high accuracy and acceptable execution time performances. The proposed model and its control strategy offer a proper tool for optimizing the hybrid power system performance which we can use in smart house applications.

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Simulation and Hardware Implementation of FPGA Based Controller for Hybrid Power System

Cited by 6 publications

References 12 publications

Hardware Implementation of Hybrid Wind-Solar Energy System for Pumping Water Based on Artificial Neural Network Controller

Hardware Implementation of Hybrid Wind-Solar Energy System for Pumping Water Based on Artificial Neural Network Controller

Sizing Control and Hardware Implementation of a Hybrid Wind-Solar Power System, Based on an ANN Approach, for Pumping Water

Hardware Implementation of a Fuzzy Logic Controller for a Hybrid Wind-Solar System in an Isolated Site

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