Enhanced Harmonics Reactive Power Control Strategy Based on Multilevel Inverter Using ML-FFNN for Dynamic Power Load Management in Microgrid

Abstract

The shift of the world in the past two decades towards renewable energy (RES), due to the continuously decreasing fossil fuel reserves and their bad impact on the environment, has attracted researchers all around the world to improve the efficiency of RES and eliminate problems that arise at the point of common coupling (PCC). Harmonics and un-balance in 3-phase voltages because of dynamic and nonlinear loads cause a lagging power factor due to inductive load, active power losses, and instability at the point of common coupling. This also happens due to a lack of system inertia in micro-grids. Passive filters are used to eliminate harmonics at both the electrical converter’s input and output sides and improve the system’s power factor. A Synchronous Reference Frame (SRF) control method is used to overcome the problem related to grid synchronization. The sine pulse width modulation (SPWM) technique provides gating signals to the switches of the multilevel inverter. A multi-layer feed forward neural network (ML-FFNN) is employed at the output of a system to minimize mean square error (MSE) by removing the errors between target voltages and reference voltages produced at the output of a trained model. Simulations were performed using MATLAB Simulink to highlight the significance of the proposed research study. The simulation results show that our proposed intelligent control scheme used for the suppression of harmonics compensated for reactive power more effectively than the SRF-based control methods. The simulation-based results confirm that the proposed ML-FFNN-based harmonic and reactive power control technique performs 0.752 better in terms of MAE, 0.52 for the case of MSE, and 0.222 when evaluating based on the RMSE.

Internet of Vehicles (IoV)-Based Task Scheduling Approach Using Fuzzy Logic Technique in Fog Computing Enables Vehicular Ad Hoc Network (VANET)

“…Task scheduling studies have been investigated for processing capabilities in collective fog and cloud environments. The authors in [21] propose a new heuristic-based task scheduling algorithm in fog computing to balance the cost and makespan time parameters. The MANET standards were adopted to access the routing-based task scheduling policies.…”

A Review of Smart Energy Management in Residential Buildings for Smart Cities

“…This research looks at the different approaches used in smart charging and highlights the benefits and drawbacks of both decentralized and centralized control systems. Furthermore, a great deal of research has been conducted in [79,80] to evaluate the effects of a large rise in EV adoption on real-world distribution areas and how it might affect energy prices. The distribution of heat generation is also taken into account in these investigations.…”

“…Conversely, district energy networks primarily deal with load management and energy efficiency enhancement. Demand response, the construction of energy-efficient buildings and districts, and communication difficulties are all addressed by a number of European infrastructure and facilities programs [75][76][77][78][79][80][81][82][83][84][85][86][87][88].…”

Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System

“…It follows a power-to-X-to-power concept, where renewable electricity is converted into hydrogen through electrolysis and later utilized to generate power in a gas turbine [20]. This work address challenges related to integrating renewable energy sources into the power grid, enhancing grid flexibility, improving energy storage capabilities, reducing carbon emissions, and promoting renewable energy integration [21].…”