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

Abstract

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 in CDL using Google Sheets (GS) to monitor and analyse the installation by means of a TLBO algorithm implemented in PFCMS, that optimizes the compensation power factor of installation and determining which capacitors are connected in real time. Moreover, the optimization of the power factor in facilities means economic and energy savings, as well as the improvement of the quality of the operation of the installation.

Performance Optimization LoRa Network by Artificial Bee Colony Algorithm to Determination of the Load Profiles in Dwellings

“…A modified ABC algorithm for constrained optimization problems was presented by Karaboga et al [3] for a set of constrained test problems. Other evolutionary algorithms, such as TLBO, were studied for the optimization of the power factor (PF) in [4].…”

“…A modified ABC algorithm for constrained optimization problems was presented by Karaboga et al [3] for a set of constrained test problems. Other evolutionary algorithms, such as TLBO, were studied for the optimization of the power factor (PF) in [4].The ABC algorithm has been used for the determination of optimal location and sizing of DG units using the multi objective performance index for enhancing the voltage stability of the radial distribution system in [5].Other algorithms together with ABC have been used, such as the hybrid algorithm ACO-ABC-HS, which combines the framework of ant colony optimization (ACO), artificial bee colony (ABC) and harmonic systems (HS) for solving the problem of economic dispatch for a multi-generator system in [6]. In this sense, Gaidhane et al [7] developed the grey wolf optimizer and ABC algorithm to inherit their advantages and overcome their drawbacks.Also, the ABC algorithm is used to find the optimum PID controller parameters.…”

Design of power factor meter using internet of things for power factor improvement, remote monitoring and data logging

“…Figure 2(b) illustrates this example. The required capacitor in can then be calculated using (8) [18,19].…”

Development and Calibration of an Open Source, Low-Cost Power Smart Meter Prototype for PV Household-Prosumers

“…This section assesses the state of the art regarding prototypes of power smart meters for households. Depending on the support platform, these prototypes can be classified as follows: (i) Arduino open-source platform [3,7,14,[43][44][45][46][47][48][49][50][51][52][53][54][55][56][57], (ii) field-programmable gate array (FPGA) technology [4,41], (iii) Lopy [5], and (iv) others [6,8,51,52].…”