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Control Performance Standard based Load Frequency Control of a two area Reheat Interconnected Power System considering Governor Dead Band nonlinearity using Fuzzy Neural Network

by R.francis, I.a.chidambaram
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 15
Year of Publication: 2012
Authors: R.francis, I.a.chidambaram
10.5120/6988-9584

R.francis, I.a.chidambaram . Control Performance Standard based Load Frequency Control of a two area Reheat Interconnected Power System considering Governor Dead Band nonlinearity using Fuzzy Neural Network. International Journal of Computer Applications. 46, 15 ( May 2012), 41-48. DOI=10.5120/6988-9584

@article{ 10.5120/6988-9584,
author = { R.francis, I.a.chidambaram },
title = { Control Performance Standard based Load Frequency Control of a two area Reheat Interconnected Power System considering Governor Dead Band nonlinearity using Fuzzy Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 15 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 41-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number15/6988-9584/ },
doi = { 10.5120/6988-9584 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:50.930847+05:30
%A R.francis
%A I.a.chidambaram
%T Control Performance Standard based Load Frequency Control of a two area Reheat Interconnected Power System considering Governor Dead Band nonlinearity using Fuzzy Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 15
%P 41-48
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The frequency control of reheat interconnected two area power systems are mainly characterized by non-linearity and uncertainty. A hybrid neural network and fuzzy control is proposed for load frequency control in the power systems considering governor dead band (GDB) non-linearity. Fuzzy with neural network is employed to forecast the control input requirement and system's future output, based on the current Area Control Error (ACE) and the predicted change-of-ACE. The Control Performance Standard (CPS) criterion is adopted to the fuzzy controller design, thus improves the dynamic quality of system. The system was simulated and the output responses of frequency deviations in area 1 and area 2 and tie-line power deviations for 1% step-load disturbance in area 1 were obtained. The comparison of frequency deviations and tie-line power deviations for the two area interconnected thermal power system considering GDB nonlinearity with Redox Flow Batteries (RFB) reveals that the system with hybrid fuzzy neural controller enhances a better stability than that of system with integral controller.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Automatic Generation Control Governor Dead Band Control Performance Standards Redox Flow Batteries.

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