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<p>Performance Analysis of ANFIS-PSO based STATCOM in an Isolated Renewable Energy based Micro-Grid</p>

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Title Statement <p>Performance Analysis of ANFIS-PSO based STATCOM in an Isolated Renewable Energy based Micro-Grid</p>
 
Added Entry - Uncontrolled Name Lavanya, M ; Department of EEE, Sona College of Technology, Salem, India
Shivakumar, R ; Department of EEE, Sona College of Technology, Salem, India
 
Uncontrolled Index Term Harmonic reduction, Photo-voltaic, Power quality, Power factor improvement, Reactive power compensation, Wind energy
 
Summary, etc. <p class="IETAbstractText">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.</p>
 
Publication, Distribution, Etc. Journal of Scientific & Industrial Research
2022-03-14 19:43:40
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/37754
 
Data Source Entry Journal of Scientific & Industrial Research; ##issue.vol## 81, ##issue.no## 02 (2022): Journal of Scientific and Industrial Research
 
Language Note en