Chebyshev Functional Expansion Based Artificial Neural Network Controller for Shunt Compensation

Three-phase four-wire (TPFW) distribution systems are prone to various power quality (PQ) issues, such as voltage fluctuations, poor power factor, unbalanced load conditions, and the presence of harmonics in current. Mitigation of these PQ problems using appropriate shunt compensator requires advanc...

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Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 14; H. 9; S. 3792 - 3800
Hauptverfasser:	Chittora, Prakash, Singh, Alka, Singh, Madhusudan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.09.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive control Algorithm design and analysis Algorithms Approximation algorithms Artificial neural networks Chebyshev approximation Chebyshev polynomial (<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> ChP </tex-math> </inline-formula> </named-content>) Compensation Control algorithms Converters Electric potential Informatics Neural networks nonlinear systems Power factor Power quality power quality (PQ) Reactive power shunt compensation Variations Wire
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
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