scholarly journals Application of Grade Algorithm Based Approach along with PV Analysis for Enhancement of Power System Performance

2016 ◽  
Vol 07 (10) ◽  
pp. 3354-3370
Author(s):  
G. Kannan ◽  
D. Padma Subramaniam ◽  
Solai Manokar
Keyword(s):  
Power System ◽  
System Performance ◽  
Power System Performance ◽  
Grade Algorithm

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

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Ons Zarrad ◽  
Mohamed Ali Hajjaji ◽  
Aymen Jemaa ◽  
Mohamed Nejib Mansouri
Keyword(s):  
Power System ◽  
System Performance ◽  
High Performance ◽  
Power Flow ◽  
Hardware Implementation ◽  
Atmospheric Conditions ◽  
Neural Network Controller ◽  
Power Point ◽  
Energy Instability ◽  
Power System Performance

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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