Neural Network Controlled Solar PV Battery Powered Unified Power Quality Conditioner for Grid Connected Operation

The Unified Power Quality Conditioner (UPQC) is a technology that has successfully addressed power quality issues. In this paper, a photovoltaic system with battery storage powered Unified Power Quality Conditioner is presented. Total harmonic distortion of the grid current during extreme voltage sa...

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Bibliographic Details
Published in:Energies (Basel) 2022-09, Vol.15 (18), p.6825
Main Authors: Okwako, Okech Emmanuel, Lin, Zhang-Hui, Xin, Mali, Premkumar, Kamaraj, Rodgers, Alukaka James
Format: Article
Language:English
Subjects:
Alternative energy
Artificial intelligence
Control algorithms
Controllers
Design
Electricity distribution
Energy storage
Harmonic distortion
Neural networks
Photovoltaics
Power supply
Reactive power
renewable energy system
Renewable resources
shunt converter
Solar energy industry
Systems stability
total harmonic distortion
unified power quality conditioner
Voltage
Voltage sags
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Summary:The Unified Power Quality Conditioner (UPQC) is a technology that has successfully addressed power quality issues. In this paper, a photovoltaic system with battery storage powered Unified Power Quality Conditioner is presented. Total harmonic distortion of the grid current during extreme voltage sag and swell conditions is more than 5% when UPQC is controlled with synchronous reference frame theory (SRF) and instantaneous reactive power theory (PQ) control. The shunt active filter of the UPQC is controlled by the artificial neural network to overcome the above problem. The proposed artificial neural network controller helps to simplify the control complexity and mitigate power quality issues effectively. This study aims to use a neural network to control a shunt active filter of the UPQC to maximise the supply of active power loads and grid and also used to mitigate the harmonic problem due to non-linear loads in the grid. The performance of the model is tested under various case scenarios, including non-linear load conditions, unbalanced load conditions, and voltage sag and voltage swell conditions. The simulations were performed in MATLAB/Simulink software. The results showed excellent performance of the proposed approach and were compared with PQ and SRF control. The percent total harmonic distortion (%THD) of the grid current was measured and discussed for all cases. The results show that the %THD is within the acceptable limits of IEEE-519 (less than 5%) in all test case scenarios by the proposed controller.
ISSN:1996-1073
1996-1073
DOI:10.3390/en15186825