Self‐adaptive learning based controller to mitigate PQ issues in internet of things devices

Abstract

The Internet of Things (IoT) systems elicit high speed, precise control and remote access to devices in public and industrial applications. The ease of remote access revokes the issue of system ambiguities due to the presence of hybrid load characteristics. The high-performance power electronics-based converters and non-linear loads pulled out several undesirable power quality issues. Among various performance pursuits, harmonic distortion analysis is at high priority in smart electronic devices. This work analyses the attributes of hybrid load system in smart IoT based devices to observe power quality issues and successful implementation of a smart self-adaptive learning technique to minimize the harmonic distortions. The model explains the risk analysis and identifies the architectural complexities of the Power Management Unit (PMU) in IoT devices. Hysteresis current control is applied for the generation of reference current to actuate the Shunt Active Power Filter (SAPF) for mitigation of harmonics distortions in distribution supply. Based on real time nonlinear load analysis parameters, ANFIS is trained to compensate the harmonic distortion. The experimental setup validates the error deviation data set for the neural network training and the adaptive control strategy. The analysed empirical weight of the neuron is adopted through various learning layers and minimizes the total harmonic distortion (THD) to a remarkable value from 72.8% to 0.81% at non-linear load. This validates the high feasibility of the control strategy in various real time smart IoT applications in accordance of IEEE 519 standards.

Secure Transmission Method of Power Quality Data in Power Internet of Things Based on the Encryption Algorithm

“…The information stored in thing speak is voltage, current and power. Goswami G et al (2021) explained that IoT solutions provide rapid, precise access from afar equipment in commercial and public settings. With remote access, it's much less of a problem when there are hybrid loads, which previously caused system ambiguities.…”

Design of Multi-Objective-Based Artificial Intelligence Controller for Wind/Battery-Connected Shunt Active Power Filter

“…The Internet of Things (IoT)-based power management unit to identify the PQ issues and the implementation of an ANN-based controller was designed for SHAPF to reduce THD [22]. The modern AC-DC microgrid with the intelligent FL-PI and FL-PID controller was designed with the view of minimizing PQ issues and improving voltage stability.…”

“…Here 2 k is the constant gain whose value is chosen as 20 and 2 c f is the cut-off frequency rating equal to system frequency 50 Hz. The HC in αβ -0 coordinates are obtained by Equation (22).…”

Analysis of the Movement Characteristics of the Pump Valve of the Mine Emulsion Pump Based on the Internet of Things and Cellular Automata

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