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Coati Optimization Based PID Controller for Stability Analysis of Micro Grid with Photo Voltaic Distributed Generator
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This study investigated system stability in a multi-source micro grid incorporating photo voltaic energy sources. The primary objective was to maintain system parameters for sustainable power supply. A Proportional Integral Derivative (PID) controller was implemented as a secondary controller to regulate micro grid parameters during grid connected mode operations. The performance index used was the integral of squared error (ISE). To enhance the optimization process for nonlinear controller design, coati Optimization algorithm (COA), an advanced Optimization method, was employed. The micro grid under test included distributed generation units such as two photovoltaic systems. Results demonstrated that the proposed controller effectively performed during various operating conditions, achieving desired responses swiftly while enhancing stability and reducing oscillations compared to conventional methods. Coati optimization based PID controller shows a significant advancement in ensuring efficient stability approach in micro grids with multiple renewable energy sources, thereby contributing to improved system reliability and performance. The proposed techniques quickly damped out the oscillations as compared to conventional controllers.
Science Research Society
Title: Coati Optimization Based PID Controller for Stability Analysis of Micro Grid with Photo Voltaic Distributed Generator
Description:
This study investigated system stability in a multi-source micro grid incorporating photo voltaic energy sources.
The primary objective was to maintain system parameters for sustainable power supply.
A Proportional Integral Derivative (PID) controller was implemented as a secondary controller to regulate micro grid parameters during grid connected mode operations.
The performance index used was the integral of squared error (ISE).
To enhance the optimization process for nonlinear controller design, coati Optimization algorithm (COA), an advanced Optimization method, was employed.
The micro grid under test included distributed generation units such as two photovoltaic systems.
Results demonstrated that the proposed controller effectively performed during various operating conditions, achieving desired responses swiftly while enhancing stability and reducing oscillations compared to conventional methods.
Coati optimization based PID controller shows a significant advancement in ensuring efficient stability approach in micro grids with multiple renewable energy sources, thereby contributing to improved system reliability and performance.
The proposed techniques quickly damped out the oscillations as compared to conventional controllers.
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