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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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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
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Improved Power System Stability Using Backtracking Search Algorithm for Coordination Design of PSS and TCSC Damping

Naz Niamul Islam1, M A Hannan1, Azah Mohamed1

  • 1Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bnagi, Selangor, Malaysia.

Plos One
|January 9, 2016
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Summary

The backtracking search algorithm (BSA) offers a robust solution for coordinating power system stabilizers (PSS) and thyristor-controlled series compensation (TCSC) controllers. This method significantly enhances power system stability by improving damping of oscillations.

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Optimization Techniques

Background:

  • Power system oscillations threaten multimachine power system stability.
  • Coordinated control of power system stabilizers (PSS) and thyristor-controlled series compensation (TCSC) is a common but complex damping technique.
  • Traditional tuning methods struggle with the multimodal optimization challenges of coordinated controller design.

Purpose of the Study:

  • To present an alternative technique for robust damping of power system oscillations using the backtracking search algorithm (BSA).
  • To evaluate the design efficiency of BSA on a 5-area, 16-machine benchmark power system.
  • To compare the performance of BSA with particle swarm optimization (PSO) for coordinated controller design.

Main Methods:

  • Formulating the coordinated controller design as a multi-objective function based on system eigenvalues.
  • Utilizing a linear time-invariant (LTI) model for the design process.
  • Employing nonlinear time-domain simulations to assess damping performance for local and inter-area oscillation modes.

Main Results:

  • The BSA-based design significantly improves multimachine power system stability.
  • Stability improvements reached up to 74.47% for inter-area modes and 79.93% for local modes of oscillation.
  • BSA demonstrated superior coordinated design efficiency compared to PSO.

Conclusions:

  • The proposed BSA technique provides a powerful and effective method for robust damping of power system oscillations.
  • This approach enhances overall power system stability and ensures secure operation.
  • BSA offers a promising solution for overcoming the limitations of traditional techniques in coordinated controller design.