publication . Article . Other literature type . 2019

Power Factor Compensation Using Teaching Learning Based Optimization and Monitoring System by Cloud Data Logger.

Jesus C. Hernandez; Cano Ortega, Antonio; Sánchez-Sutil, Francisco;
Open Access English
  • Published: 10 May 2019 Journal: Sensors (Basel, Switzerland), volume 19, issue 9 (eissn: 1424-8220, Copyright policy)
  • Publisher: MDPI
Abstract
<jats:p>The main objective of this paper is to compensate power factor using teaching learning based optimization (TLBO), determine the capacitor bank optimization (CBO) algorithm, and monitor a system in real-time using cloud data logging (CDL). Implemented Power Factor Compensation and Monitoring System (PFCMS) calculates the optimal capacitor combination to improve power factor of the installation by measure of voltage, current, and active power. CBO algorithm determines the best solution of capacitor values to install, by applying TLBO in different phases of the algorithm. Electrical variables acquired by the sensors and the variables calculated are stored i...
Subjects
free text keywords: Article, Power factor compensation monitoring system PFCMS, power factor PF, Cloud data logger CDL, Teaching learning based optimization TLBO, capacitor bank optimization CBO, Chemical technology, TP1-1185, Electrical and Electronic Engineering, Analytical Chemistry, Atomic and Molecular Physics, and Optics, Biochemistry
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Article . 2019
Sensors
Article . 2019
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