Study of Advanced Power Load Management Based on the Low-Cost Internet of Things and Synchronous Photovoltaic Systems

Autor: Pei-Qiang Li, Abdalaziz Altayeb Ibrahim Omer, Yu-Wen Zhou, Elias Turatsinze, Cheng-Kuo Chang, Kuo-Chi Chang, Kai-Chun Chu
Rok vydání: 2020
Předmět:
Zdroj: Advances in Intelligent Systems and Computing ISBN: 9783030586683
AISI
DOI: 10.1007/978-3-030-58669-0_49
Popis: The main problem with today’s power consumption is to determine which load is consuming much power so that it can be disconnected to reduce high electrical bills. The main concern of today’s researches is to find an alternative way of installing a grid-connected PV system or other renewable resources free of harmful gases so that they add up to the electrical grids to provide enough power. This study presents how to synchronize a photovoltaic system with a grid to save money and electrical load management based on IoT technology. However, current sensing is used to sense the current when loads are connected and send the instantaneous value of current to the Arduino Uno which is programmed to find the total power consumed and then ESP 8266 WiFi module uploads the data to the Thingspeak for analysis and monitoring where utility company or users can access the information about the usage of electricity since many PV systems are in remote areas. A simulation of an inverter with PLL circuit for generating the desired signal waveform and frequency is done in MATLAB/Simulink and the objective was successfully achieved which showed that the output voltage is a sinusoidal waveform of the same frequency and same phase angle and a current sensor can be installed at the output of the inverter to sense the power generated for analysis and monitoring of the proposed PV system.
Databáze: OpenAIRE