Advanced Technologies in Power Grids Optimization using IoT and AI: Energy efficiency using the Internet of Things and the Artificial Intelligence - Softcover

Kitmo; Mibaile, Justin; Djongyang, Noël

 
9786208456733: Advanced Technologies in Power Grids Optimization using IoT and AI: Energy efficiency using the Internet of Things and the Artificial Intelligence
Softcover
ISBN 10: 6208456738 ISBN 13: 9786208456733
Verlag: LAP LAMBERT Academic Publishing, 2025

Inhaltsangabe

This work presents a method for optimizing the performance of energy systems using the Internet of Things and artificial intelligence. The method automatically detects voltage dips. Fault correction is performed automatically in real time by reconfiguring and automatically recombining switches across the entire system. This technique provides an easy way to supervise power networks using SCADA devices. Adaptive particle swarm optimization (APSO) algorithms are proposed to evaluate power losses and voltage dips (PLVD) on the radial distribution system (RDS). The IEEE 33 bus standard test is used to study the power quality of the proposed system. Three suitable locations for the injection of photovoltaic distributed sources (PDS) are determined based on the reduction in power loss and the voltage index. The system rectifies faults such as power factor deviation (PFD) or partial shading of solar cells by reconfiguring and automatically recombining the 33-bus radial system branches. An Adaptive particle swarm optimization (APSO) has enabled the power profile to be improved and demonstrated the reliability of the proposed method.

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Über die Autorin bzw. den Autor

KITMO received a B.E. degree in 2014 and an M.E. degree in 2014, in Electronics, Electrical Engineering and Automation (EEA) from University of Ngaoundere, Cameroon. He is an Assistant professor with the Department of Renewable Energy, National Advanced School of Engineering of Maroua, University of Maroua, P.O. Box 58 Maroua, Cameroon.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
6208456738
ISBN 13 
9786208456733
Einband
Taschenbuch
Anzahl der Seiten
72
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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