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Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
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Modified PID controller for automatic generation control of multi-source interconnected power system using fitness

Amil Daraz1, Suheel Abdullah Malik1, Ihsan Ul Haq1

  • 1Department of Electrical Engineering, Faculty of Engineering and Technology, International Islamic University, Islamabad, Pakistan.

Plos One
|November 20, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an Integral-Proportional Derivative (I-PD) controller optimized using the Fitness Dependent Optimizer (FDO) algorithm for enhanced Automatic Generation Control (AGC) in interconnected power systems. The FDO-I-PD controller significantly improves system stability by reducing overshoot and settling time.

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Area of Science:

  • Electrical Engineering
  • Control Systems Engineering
  • Optimization Algorithms

Background:

  • Automatic Generation Control (AGC) is crucial for maintaining grid stability in interconnected power systems (IPS).
  • Traditional Proportional Integral Derivative (PID) controllers face challenges in optimizing performance across diverse power system configurations.
  • Multi-source power systems with varying generation units (gas, hydro, thermal) require advanced control strategies for reliable operation.

Purpose of the Study:

  • To develop and optimize a modified Integral-Proportional Derivative (I-PD) controller for AGC in a two-area multi-source IPS.
  • To employ the Fitness Dependent Optimizer (FDO) algorithm for tuning the I-PD controller parameters based on multiple performance indices.
  • To evaluate the proposed controller's effectiveness and robustness against existing methods and system variations.

Main Methods:

  • A novel Integral-Proportional Derivative (I-PD) controller structure was proposed.
  • The Fitness Dependent Optimizer (FDO) algorithm was utilized to optimize controller parameters, minimizing Integral of Absolute Error (IAE), Integral of Time multiplied Absolute Error (ITAE), Integral of Time multiplied Square Error (ITSE), and Integral Square Error (ISE).
  • Simulations were conducted on a two-area IPS with individual and combined gas, hydro, and reheat thermal units, comparing performance against Differential Evolution (DE-PID) and Teaching Learning Based Optimization (TLBO) hybridized controllers (LUS-PID).

Main Results:

  • The proposed FDO-optimized I-PD controller (FDO-I-PD) demonstrated superior performance compared to other controllers.
  • Significant improvements were observed in reducing Overshoot (Osh), Settling time (Ts), and Undershoot (Ush).
  • The controller's robustness was validated through system parameter variations and load changes.

Conclusions:

  • The developed FDO-I-PD controller offers a significant advancement for AGC in multi-source interconnected power systems.
  • The FDO algorithm effectively optimizes the I-PD controller for improved transient response and stability.
  • The proposed control strategy provides a robust and efficient solution for modern power grid management.