International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

International Journal of Engineering Research in Electrical and Electronic Engineering

Volume4 ,September 2017.

Volume4,September 2017,

Topic : Voltage Regulation of Transmission Line through Adaptive Neuro Fuzzy Inference System (ANFIS) Control of STATCOM

Authors:D.Nagamani || B.Narasimha Reddy

Abstract:STATCOM will contribute quick and valuable reactive power support to continue voltage stability. Voltage instability results to uncontrollable decline in voltage. This can be adjusted to desired limits by injection of reactive power. So, STATCOM with an adaptive PI controller is proposed. Several conventional controls of STATCOM are not promising the effective performance with change in system. The existing system regulates the performance by selfadjustment of control gains in PI controller and gets matches to a desired response. In extension to that the proposed system got an advantage of adaptive Neuro Fuzzy Inference System (ANFIS) which improves the dynamic response accuracy under various disturbances and promises a secure and reliable power system. This paper has the intention to a brand new controller model supported associate degree Adaptive Neuro Fuzzy Inference System(ANFIS) to tune the criterion of STATCOM controller for dominant the reactive power require to steady the voltage variation, like totally different change of transmission network, successive disturbances, a harsh disturbance and totally distinct load levels. A simulink form of associate degree ANFIS STATCOM controller has been taken for the analysis victimization simulation in MATLAB computer code..

Keywords: Adaptive PI controller, ANFIS controller, Reactive Power Compensation, STATCOM, Voltage Stability

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DOI: 01.1617/vol4/iss9/pid92758


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Editor-in-Chief

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Editor-in-Chief
Dr.Krzysztof Chwastek
Associate Professor,
Czestochowa University of Technology, Polland.


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IMPACT FACTOR: 3.784

ISSN(Online): 2395-2717

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJEREEE
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Impact Factor : 3.784
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