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Performance Analysis of ANFIS-PSO based STATCOM in an Isolated Renewable Energy based Micro-Grid

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Title Performance Analysis of ANFIS-PSO based STATCOM in an Isolated Renewable Energy based Micro-Grid
 
Creator M, Lavanya
R, Shivakumar
 
Subject Harmonic reduction
Photo-voltaic
Power quality
Power factor improvement
Reactive power compensation
Wind energy
 
Description 180-187
In recent times, the micro-grids have gained more importance owing to the increased need for providing reliable and
quality power to the users at remote locations. This work proposes a novel application of Adaptive Neuro-Fuzzy Inference
System (ANFIS) in conjunction with Particle Swarm Optimization (PSO)-based controller for static synchronous
compensator to improve the performance of a hybrid renewable energy based isolated micro grid environment. Adaptive and
robust ANFIS controller combines the features of artificial neural network and fuzzy inference system. The proposed
controller provides reactive power compensation and maintains the stability of the system. The functionality of the system is
tested in MATLAB/Simulink under varying conditions and results show improvement in power factor and reduction in
harmonics. Also, the performance of PSO-ANFIS is superior to conventional PI and ANFIS controller in terms error
components.
 
Date 2022-02-04T11:30:36Z
2022-02-04T11:30:36Z
2022-02
 
Type Article
 
Identifier 0975-1084 (Online); 0022-4456 (Print)
http://nopr.niscair.res.in/handle/123456789/59080
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.81(02) [Feburary 2022]