%0 Journal Article
%T Hybrid Fuzzy Controller Based Frequency Regulation in Restructured Power System
%A P. Anitha
%A P. Subburaj
%J Circuits and Systems
%P 759-770
%@ 2153-1293
%D 2016
%I Scientific Research Publishing
%R 10.4236/cs.2016.76065
%X This paper discusses the
implementation of Load Frequency Control (LFC) in restructured power system
using Hybrid Fuzzy controller. The formulation of LFC in open energy market is
much more challenging; hence it needs an intelligent controller to adapt the
changes imposed by the dynamics of restructured bilateral contracts. Fuzzy
Logic Control deals well with uncertainty and indistinctness while Particle
Swarm Optimization (PSO) is a well-known optimization tool. Abovementioned
techniques are combined and called as Hybrid Fuzzy to improve the dynamic
performance of the system. Frequency control of restructured system has been
achieved by automatic Membership Function (MF) tuned fuzzy logic controller.
The parameters defining membership function has been tuned and updated from
time to time using Particle Swarm Optimization (PSO). The robustness of the
proposed hybrid fuzzy controller has been compared with conventional fuzzy
logic controller using performance measures like overshoot and settling time
following a step load perturbation. The motivation for using membership
function tuning using PSO is to show the behavior of the controller for a wide
range of system parameters and load changes. Error based analysis with
parametric uncertainties and load changes is tested on a two-area restructured
power system.
%K Fuzzy Logic Controller
%K Membership Function
%K Particle Swarm Optimization
%K Load Frequency Control
%K Bilateral Market
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=66463