MODELLING AND TIME DOMAIN ANALYSIS OF SYNCHRONOUS MACHINE WITH FUZZY BASED AVR

ABSTRACT An Automatic Voltage Regulator (AVR) is crucial for maintaining the output voltage of generators within acceptable limits, ensuring the stability and efficiency of power systems. Traditional AVR systems often rely on linear control methods, which may not perform optimally under varying load conditions and nonlinearities. This paper explores the implementation of a Fuzzy Logic Controller (FLC) in an AVR system to enhance its performance and robustness. The FLC-based AVR aims to handle non-linearities and provide better transient and steady-state performance compared to conventional controllers. The Fuzzy Logic Controller is expected to demonstrate superior performance in handling nonlinearities and varying load conditions. Key improvements may include reduced overshoot, faster settling time, and improved voltage stability under transient conditions. In this paper, Performance of AVR is enhanced with FLC and compared with PI Controller. It is proven that fuzzy controller based synchronous generator works better than PID based system Key words: Synchronous machine, Modelling,Time domain analysis, FLC, AVR

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-16
DOI
https://doi.org/10.5281/zenodo.13768368
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
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article

MODELLING AND TIME DOMAIN ANALYSIS OF SYNCHRONOUS MACHINE WITH FUZZY BASED AVR

Zenodo (CERN European Organization for Nuclear Research)
Power System Optimization and Stability
article

MODELLING AND TIME DOMAIN ANALYSIS OF SYNCHRONOUS MACHINE WITH FUZZY BASED AVR

article en

Abstract

ABSTRACT An Automatic Voltage Regulator (AVR) is crucial for maintaining the output voltage of generators within acceptable limits, ensuring the stability and efficiency of power systems. Traditional AVR systems often rely on linear control methods, which may not perform optimally under varying load conditions and nonlinearities. This paper explores the implementation of a Fuzzy Logic Controller (FLC) in an AVR system to enhance its performance and robustness. The FLC-based AVR aims to handle non-linearities and provide better transient and steady-state performance compared to conventional controllers. The Fuzzy Logic Controller is expected to demonstrate superior performance in handling nonlinearities and varying load conditions. Key improvements may include reduced overshoot, faster settling time, and improved voltage stability under transient conditions. In this paper, Performance of AVR is enhanced with FLC and compared with PI Controller. It is proven that fuzzy controller based synchronous generator works better than PID based system Key words: Synchronous machine, Modelling,Time domain analysis, FLC, AVR

Zenodo (CERN European Organization for Nuclear Research)
Coimbatore Medical College and Hospital (IN), Sri Ramakrishna Institute of Paramedical Sciences (IN), Ramakrishna Mission Vidyalaya (IN), Government College of Science (PK)
Affordable and clean energy
Openalex Percentile: Top 67%
Power System Optimization and Stability
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MODELLING AND TIME DOMAIN ANALYSIS OF SYNCHRONOUS MACHINE WITH FUZZY BASED AVR · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS