Name: Advanced Technologies in Power Grids Optimization using IoT and AI (en Inglés)
SKU: 66207151
Price: 62.06 USD
Availability: InStock
Author: Kitmo; Mibaile, Justin; Djongyang, Noël

portada Advanced Technologies in Power Grids Optimization using IoT and AI (en Inglés)

Advanced Technologies in Power Grids Optimization using IoT and AI (en Inglés)

Formato

Libro Físico

Editorial

LAP Lambert Academic Publishing

Autor

Kitmo; Mibaile, Justin; Djongyang, Noël

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.4 cm

ISBN13

9786208456733

Advanced Technologies in Power Grids Optimization using IoT and AI (en Inglés)

Kitmo; Mibaile, Justin; Djongyang, Noël (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Advanced Technologies in Power Grids Optimization using IoT and AI (en Inglés)"

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.