Location of Quality Parameters in Small Smart Grid: Off-Grid Case Using Wavelet Transform

Author:

Rojas L.,Rojas C.,Pacheco C.,Caballero E.,Molina M.

Abstract

Abstract In the following work the analysis made to an electrical signal by means of wavelet toolbox will be shown. The analysis will be done contemplating the use of the Discrete Wavelet Transform (DWT). This will show the multilevel decomposition taking into account different orders of daubechies. Taking into account the different levels it is expected to show the variants in terms of energetic quality such as sag, swell and harmonic detection. The final work will link the work of digital signal processing with previous work where the construction of a prototype solar system will be explained to obtain the electrical signals of voltage, current and power consumed. In this introductory stage will show the step-by-step development that was taken into account to carry out the design and construction of smart grid scale prototype with AC and DC load control through the HMI interface with LabVIEW software. The design process of the off-grid solar system was carried out through 7 stages that framed the scale of the solar installation. Once the design of the sizing was finished, programming was carried out in Human Machine Interface (HMI) graphics environment with LabVIEW software for optimal control of AC and DC variable loads. This control was established through current relays from 5 volts to 110 volts AC and 5 volts to 12 volts DC. The control interface was made through an embedded board with NI-VISA communication. It is important to note that the smart grid control prototype “Smart Grid” shows optimal results in its operation; denoting this that from the optics of the programming done in the graphics environment, the control of loads dependent on control canter’s; act at disposition. Redundant this in improvements for the energy consumption derived from the storage system under the autonomy designed for three days.

Publisher

IOP Publishing

Subject

General Medicine

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