This paper investigates the effective control of power system stabilizers (PSSs) for damping power system oscillations in case of intra-area and inter-area oscillations. The PSSs provide an effective supplementary control as an auxiliary control action to the excitation system of the generators to improve the overall efficiency in this direction. However, to be robust in performance, the optimum parameter setting of the PSS design parameters is indispensible to handle various disturbances and abnormal conditions. Even though lot of research has been successfully undertaken, yet this issue still requires an optimal strategy to address the design and operation of multiple PSS in the power system. To be more effective and robust in performance, a modified invasive weed optimization (IWO) technique is proposed for optimal tuning of PSS parameters. Comparative result analysis indicates a superior result in comparison with conventional techniques. Different case studies with respect to various types of disturbances are tested for justifying a better performance of the proposed approach. The stability and transient analysis in terms of time domain simulations are presented.
[1]
Caro Lucas,et al.
A novel numerical optimization algorithm inspired from weed colonization
,
2006,
Ecol. Informatics.
[2]
H. H. Happ,et al.
Power System Control and Stability
,
1979,
IEEE Transactions on Systems, Man, and Cybernetics.
[3]
Peter W. Sauer,et al.
Power System Dynamics and Stability
,
1997
.
[4]
James Kennedy,et al.
The particle swarm: social adaptation of knowledge
,
1997,
Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[5]
Russell C. Eberhart,et al.
Parameter Selection in Particle Swarm Optimization
,
1998,
Evolutionary Programming.
[6]
E. Larsen,et al.
IEEE Transactions on Power Apparatus and Systems, Vol. PAS-100, No. 6 June 1981 APPLYING POWER SYSTEM STABILIZERS PART I: GENERAL CONCEPTS
,
2006
.
[7]
M. A. Abido,et al.
A novel approach to conventional power system stabilizer design using tabu search
,
1999
.