Implementation of a Structural Algorithm for Hybrid Shunt Active Harmonic Power Filter using ANN based on a Micro Processing Unit

Abstract

Electrical power consumption and distribution along with ensuring its quality is important for industries as the power sector mandates a clean and green process with the least possible carbon footprints and avoid damage of expensive electrical equipments. 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). These harmonics reduce the equipment life and degrades the overall electric power quality due to excessive use of non-linear load in industries. In this research, a Hybrid Shunt Active Harmonic Power Filter (HSAHPF) has been implemented 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 for harmonic elimination. 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 for the prediction of output based on received 7 inputs i.e., 3-phase source voltage, 3-phase applied load current and the compensated voltage across the DC-link capacitors of the designed filter. Moreover, a real-time data visualization platform has been provided through an Application Programming Interface (API) of a JAVA script called Node-RED. Additionally, the Node-RED also performs data transmission between SIMULINK and external processors through serial socket TCP/IP data communication for real-time data transceiving. It also develops a realtime Supervisory Control and Data Acquisition (SCADA) system to monitor and control the data flow within the two HIL platforms. Furthermore, we have demonstrated real-time testing of 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 showing a significant decrease in Total Harmonic Distortion (THD) from 35.76% to 3.56% for conventional Pq0 thoery that perfectly lies within the set range of IEEE standard. On the basis of this result an ANN model of tensor flow is trained upto the 99.9% efficiency. The trained model is then applied in the SIMULINK environment which gives 3.75% THD on the source current. In further, the ANN-based algorithm provides negligible THD with improved stability time while bearing the computational overheads of the microprocessor. The implemented HIL approach along with experimental verification confirms significant mitigation of harmonics by the acquisition of quality power with power factor closer to unity.