Implementation of ANN-Based Embedded Hybrid Power Filter Using HIL-Topology with Real-Time Data Visualization through Node-RED

Raffay Rizwan, Jehangir Arshad, Ahmad Almogren, Mujtaba Hussain Jaffery, Adnan Yousaf, Ayesha Khan, Ateeq Ur Rehman and Muhammad Shafiq
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Raffay Rizwan: Department of Electrical & Computer Engineering, Lahore Campus, COMSATS University Islamabad, Lahore 54000, Pakistan
Jehangir Arshad: Department of Electrical & Computer Engineering, Lahore Campus, COMSATS University Islamabad, Lahore 54000, Pakistan
Ahmad Almogren: Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia
Mujtaba Hussain Jaffery: Department of Electrical & Computer Engineering, Lahore Campus, COMSATS University Islamabad, Lahore 54000, Pakistan
Adnan Yousaf: Department of Electrical Engineering, Superior University, Lahore 54000, Pakistan
Ayesha Khan: Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences, Lahore 54000, Pakistan
Ateeq Ur Rehman: Department of Electrical Engineering, Government College University, Lahore 54000, Pakistan
Muhammad Shafiq: Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea

Energies, 2021, vol. 14, issue 21, 1-33

Abstract: Electrical power consumption and distribution and ensuring its quality are important for industries as the power sector mandates a clean and green process with the least possible carbon footprint and to avoid damage of expensive electrical components. The harmonics elimination has emerged as a topic of prime importance for researchers and industry to realize the maintenance of power quality in the light of the 7th Sustainable Development Goals (SDGs). This paper implements a Hybrid Shunt Active Harmonic Power Filter (HSAHPF) to reduce harmonic pollution. An ANN-based control algorithm has been used to implement Hardware in the Loop (HIL) configuration, and the network is trained on the model of pq0 theory. The HIL configuration is applied to integrate a physical processor with the designed filter. In this configuration, an external microprocessor (Raspberry PI 3B+) has been employed as a primary data server for the ANN-based algorithm to provide reference current signals for HSAHPF. The ANN model uses backpropagation and gradient descent to predict output based on seven received inputs, i.e., 3-phase source voltages, 3-phase applied load currents, and the compensated voltage across the DC-link capacitors of the designed filter. Moreover, a real-time data visualization has been provided through an Application Programming Interface (API) of a JAVA script called Node-RED. The Node-RED also performs data transmission between SIMULINK and external processors through serial socket TCP/IP data communication for real-time data transceiving. Furthermore, we have demonstrated a real-time Supervisory Control and Data Acquisition (SCADA) system for testing HSAHPF using the topology based on HIL topology that enables the control algorithms to run on an embedded microprocessor for a physical system. The presented results validate the proposed design of the filter and the implementation of real-time system visualization. The statistical values show a significant decrease in Total Harmonic Distortion (THD) from 35.76% to 3.75%. These values perfectly lie within the set range of IEEE standard with improved stability time while bearing the computational overheads of the microprocessor.

Keywords: ANN-based algorithm; backpropagation; gradient descent; hybrid shunt active harmonic power filter (HSAHPF); hardware in the loop (HIL); serial socket TCP/IP; Node-RED; total harmonic distortion (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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