New Control Strategies On PSS Optimization Improvement

Abstract:

The weighting matrices Q and R in the optimization process and PSS parameters are important components of the multimachine power system. To improve the performance of power system, this paper presents new strategies of control.

The strategy-1 tunes the optimal PSS parameters using the genetic algorithm (GA) calculation through LQ optimal control equation solution as an objective function. The strategy- develops strategy-1 through a modification of inverse-square method (ISM) to design the weighting matrices. The strategy-3 uses the special GA to handle the duty of ISM by using the modification of a mutation process. In the last strategy, the initial chromosomes are created from ISM. Using these strategies, the application of multi-PSS and a conventional PSS are applied in the multimachine power system as comparison study. In the fina;, the strategy-3 has shown the best effort for power system behaviors improvements. It shows that the convergences of GA has great improvement in their penalty evalution, in eigenvalues and settling time analyses.

Keywords:  power system dynamics and control, optimal control, inverse square method, genetic algorithm.

Imam Robandi

Department of Electrocal Engineering, FTI ITS

Jl. Arief Rahman Hakim Surabaya 

E-mail: robandi@ee.its.ac.id