UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 7
July-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2207462


Registration ID:
500062

Page Number

e496-e508

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Title

STABILITY IMPROVEMENT BY USING GA & FUZZY LOGIC CONTROLLER OF MULTI-AREA POWER SYSTEM

Abstract

Abstract: Variations in load bring about drifts in frequency and voltage which in turn leads to generation loss owing to the line tripping and also blackouts in the power system. These drifts might be reduced to the smallest possible value by automatic generation control (AGC) which constitutes of two sections by using load frequency control (LFC) along with automatic voltage regulation (AVR). Here simulation evaluation is done to know the working of LFC by building models in SIMULINK which helps us to comprehend the principle behind LFC including the challenges and problems. The three area system is considered in this article. Several important parameters of ALFC like integral controller gains (KIi), parameters for governor speed regulation (Ri) as well as parameters for frequency bias (Bi) are being optimized by using an optimization technique that is Bacteria Foraging Optimization Algorithm (BFOA) to solve the frequency deviation problem we use fuzzy logic control, GA-PI. Load Frequency Control (LFC) is used to regulate the generator’s output power within a specified area with respect to tie line power and change in the system frequency. In this paper Fuzzy Logic controller is used for load frequency control for multi area system & comparison between Fuzzy logic controller and Genetic algorithm for load frequency control. In power system the interconnected multi-area, as a power load demand varies randomly, in the case of any small load change suddenly in any of the areas, both tie line and frequency flow interchange also vary The main purpose of this paper is basically present an application of Fuzzy Logic Controller (FLC) based load frequency control in multi-area interconnected power system.

Key Words

Key words: automatic generation control (AGC), load frequency control (LFC), fuzzy logic controller (FLC), genetic algorithm (GA), proportional integral (PI).

Cite This Article

"STABILITY IMPROVEMENT BY USING GA & FUZZY LOGIC CONTROLLER OF MULTI-AREA POWER SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.e496-e508, July-2022, Available :http://www.jetir.org/papers/JETIR2207462.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"STABILITY IMPROVEMENT BY USING GA & FUZZY LOGIC CONTROLLER OF MULTI-AREA POWER SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppe496-e508, July-2022, Available at : http://www.jetir.org/papers/JETIR2207462.pdf

Publication Details

Published Paper ID: JETIR2207462
Registration ID: 500062
Published In: Volume 9 | Issue 7 | Year July-2022
DOI (Digital Object Identifier):
Page No: e496-e508
Country: Raipur, chhattisgarh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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