Abstract

This research presents the modeling and prediction of the harmonic behavior of current in an electric power supply grid with the integration of photovoltaic power by inverters using artificial neural networks to determine if the use of the proposed neural network is capable of capturing the harmonic behavior of the photovoltaic energy integrated into the user’s electrical grids. The methodology used was based on the use of recurrent artificial neural networks of the nonlinear autoregressive with external input type. Work data were obtained from experimental sources through the use of a test bench, measurement, acquisition, and monitoring equipment. The input–output parameters for the neural network were the current values in the inverter and the supply grid, respectively. The results showed that the neural network can capture the dynamics of the analyzed system. The generated model presented flexibility in data handling, allowing to represent and predict the behavior of the harmonic phenomenon. The obtained algorithm can be transferred to physical or virtual systems for the control or reduction of harmonic distortion.

Highlights

  • Renewable energies are considered clean, abundant, and increasingly competitive energies

  • Due to the imminent growth in the use of Photovoltaic solar (PV) systems interconnected to power grids, which have led to an increase in energy quality problems [8], those caused by harmonic distortion, it is necessary to characterize and model harmonic behavior due to the integration of the PV power in order to control and/or suppress the content of harmonic distortion at the common coupling point (CCP), as well as in the power supply grid

  • For the modeling and behavior prediction of current in the 220 V, 60 Hz power supply grid, at the CCP, where the powers of the grid and a PV system are integrated through electronic inverters, a test bench consisting of 6 monocrystalline solar panels of 250 W each was used in an arrangement of 1500 W

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Summary

Introduction

Renewable energies are considered clean, abundant, and increasingly competitive energies. PV generation systems are classified into two large groups: isolated and interconnected [3] In the former, the generation is not connected in any way to the electric supply grid, while in the latter, the energy generated is integrated into the grid by the use of electronic power inverters. Inverters used in interconnected PV systems have the main function of converting direct waveform power (DC) parameters into sinusoidal alternating waveform (AC) parameters [4]. These devices generate various power quality problems, due to the nonlinear behavior of their components and their operational characteristics [5,6], among which are transients and voltage variations, flickering, harmonic, and interharmonics. Due to the imminent growth in the use of PV systems interconnected to power grids, which have led to an increase in energy quality problems [8], those caused by harmonic distortion, it is necessary to characterize and model harmonic behavior due to the integration of the PV power in order to control and/or suppress the content of harmonic distortion at the common coupling point (CCP), as well as in the power supply grid

Related Works
Scope and Contribution
Experimental Setup
Data Acquisition
Supply grid feeder With input of current by the inverter and charging at CCP
Findings
Conclusions and Future Works

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