Enhancement The Dynamic Stability of The Iraq's Power Station Using PID Controller Optimized by FA and PSO Based on Different Objective Functions

• Published in: Elektrotehniski Vestnik Vol. 85; no. 1/2; pp. 42 - 48
• Main Authors: Salman, Ghassan Abdullah, Hussein, Husham Idan, Hasan, Mohammed Saadi
• Format: Journal Article
• Language: English
• Published: Ljubljana Elektrotehniski Vestnik 01.01.2018
• Subjects: Algorithms; Control stability; Dynamic stability; Generators; Heuristic methods; Optimization; Parameters; Particle swarm optimization; Performance indices; Proportional integral derivative; Iraq
• ISSN: 0013-5852; 2232-3236

The paper demonstrates how to improve the dynamic stability of a synchronous generator in combination with on excitation system by utilizing a Proportional Integral Derivate (PID) controller. It presents two methods of determining optimal the piD parameters to improve the power angle and terminal voltage of a synchronous generator: i.e. the Firefly Algorithm (FA) and Particle Swarm Optimization (PSO). These methods are used to determine the optimal PID controller parameters required to minimize various performance indices as objective functions. Two objective functions are considered for optimization: the Integral Absolute Error (IAE) and the Integral Error (ISE). The results obtained from conventional PID, FA-PID and PSO-PID, it shows that the FA-PID performed better than the conventional PID and PSO-PID. The result analysis demonstrates that FA-IAE better and more efficient by tune the PID parameters than FA-ISE, PSO-ТАЕ and PSO-ISE.