Robust Control of Power System Stabilizer Using World Cup Optimization Algorithm

Authors

  • Ali Madadi Department of Electrical Engineering, University of Tafresh, Tafresh, Iran
  • Mehdi Ramezani 2Department of Mathematics, Tafresh University, Tafresh 39518 79611, Iran.
  • Navid Razmjooy Department of Electrical Engineering, University of Tafresh, Tafresh, Iran
Abstract:

In this paper, we propose a new optimized PID controller to stabilize the synchronous machine connected to an infinite bus. The model for the synchronous machine is 4-ordered linear Philips-Heffron synchronous machine. In this research, the parameters of the PID controller are optimally achieved by minimizing a definite fitness function to removes the unstable Eigen-value to the left side of imaginary axis. The considered parameters for the controller are achieved by employing a new defined, World Cup Optimization algorithm. After applying the proposed controller, it is compared by the particle swarm optimization as a popular and high performance algorithm. Here, controller is obtained for all operating points. Final results show that the using World Cup Optimization algorithm has a better performance toward the compared particle swarm optimization.  

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Decentralized Robust Power System Stabilizer Design

This paper suggests a method for designing PSS to damp multi-machine power system oscillations.  The method is based on robust control theory. First, the conventional method for designing robust controller in LMI framework is illustrated. Then, the suggested method is given, in which, a PID output feedback controller is tuned using the LMI approach. Mostly, the classical methods are used t...

full text

Robust Design of Power System Stabilizer using Harmony Search Algorithm

In this paper, a novel Harmony Search algorithm (HSA) based approach for robust and optimal design of PID controller connected to power system stabilizer (PSS) is proposed for damping low frequency power oscillations of a single machine infinite bus bar (SMIB) power system. This paper attempts to optimize the three parameters (Kp, Ki, Kd) of PID-PSS via a music-based metaheuristic optimization ...

full text

Robust Power System Stabilizer Design using Particle Swarm Optimization Technique

in the industry to damp out power system oscillations. In this paper, particle swarm optimization (PSO) technique is applied to design a robust power system stabilizer (PSS). The design problem of the proposed controller is formulated as an optimization problem and PSO is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the d...

full text

Optimization of Power System Stabilizer for Multi-Machine Power System using Invasive Weed Optimization Algorithm

In this paper, an evolutionary algorithm-Invasive Weed Optimization (IWO) based power system stabilizer (PSS) is proposed for multi-machine power system. IWO is a derivative-free real parameter optimization technique that mimics the ecological behavior of colonizing weeds. Owing to its superior performance in comparison with many other existing meta-heuristics, it has used to search for optimal...

full text

Design of Robust PID Power System Stabilizer for Multimachine Power System Using HS Algorithm

Abstract In this paper, the design of a proportional, derivative and integral (PID) based power system stabilizer (PSS) is carried out using a new Meta heuristic harmony search algorithm (HSA) to optimize the parameters. The design of proposed PID controller is considered with an objective function based on eigenvalue shifting to guarantee the stability of nonlinear plant for a wide range of co...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 5  issue 1

pages  519- 526

publication date 2016-02-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023