TITLE:
Self-Adaptive DE Applied to Controller Design
AUTHORS:
K. A. Folly, T. Mulumba
KEYWORDS:
DE, Power System Stabilizer, Self-Adaptive DE, Small-Signal Stability
JOURNAL NAME:
Journal of Computer and Communications,
Vol.2 No.9,
July
11,
2014
ABSTRACT: Adequate damping is
necessary to maintain the security and the reliability of power systems. The
most-cost effective way to enhance the small-signal of a power system is to use
power system controllers known as power system stabilizers (PSSs). In
general, the parameters of these controllers are tuned using conventional
control techniques such as root locus, phase compensation techniques, etc.
However, with these methods, it is difficult to ensure adequate stability of
the system over a wide range of operating conditions. Recently, there have been
some attempts by researchers to use Evolutionary Algorithms (EAs) such as
Genetic Algorithms (GAs), Particle Swarm Optimization, Differential Evolution
(DE), etc., to optimally tune the parameters of the PSSs over a wide range of
operating conditions. In this paper, a self-adaptive Differential Evolution
(DE) is used to design a power system stabilizer for small-signal stability
enhancement of a power system. By using self-adaptive DE, the control
parameters of DE such as the mutation scale factor F and cross-over rate CR
are made adaptive as the population evolves. Simulation results are presented
to show the effectiveness of the proposed approach.