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Performance Analysis of LFC of Two Area System using Intelligent Controllers

S.K. Rajarathna, Dr.R. Rajeswari

Abstract


The main aim of LFC in a power system is to maintain
the system frequency at its scheduled value during normal period and
whenever there is a change in load demand. Larger frequency
deviation for change in load will lead to system collapse. Thus a fast
and accurate controller is required to maintain the system at nominal
frequency. Various Intelligent Controllers are employed for
performing LFC in a power system for obtaining better dynamic
performance. This paper represents the analysis of Load Frequency
Control of Two Area Thermal-Thermal System using Intelligent
Controllers like Fuzzy Logic Controller (FLC), Artificial Neural
Network (ANN) and Adaptive Neuro- Fuzzy Inference System
(ANFIS).. The performances of the controllers are examined for 2GW
rated control areas interconnected by tie-lines for a step load change of
0.1p.u. Change in frequency and settling time is observed for various
controllers using MATLAB SIMULINK. The results obtained shows
that ANN gives faster dynamic performance than other controllers.


Keywords


Load Frequency Control (LFC), Area Control Error (ACE), Fuzzy Logic Controller (FLC), Adaptive Neuro Fuzzy based Inference System (ANFIS), Artificial Neural Network (ANN)

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DOI: http://dx.doi.org/10.36039/AA042012002

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