Optimum SHE for cascaded H-bridge multilevel inverters using: NR-GA-PSO, comparative study

Selective Harmonic Elimination (SHE) is very widely applied technique in the control of multilevel inverters that can be used to eliminate the low order dominant harmonics. This is considered a low frequency technique, in which the switching angles are predetermined based on solving a system of transcendental equations. Iterative techniques such as NR and Heuristic techniques such as GA and PSO have been used widely in literatures for the problem of SHE. This paper presents a detailed comparative study of these three techniques when applied for a 7-level CHB-MLI

Supervisory Power System Stability Control using Neuro-fuzzy system and particle swarm optimization algorithm

This paper describes the design and implementation of advanced Supervisory Power System Stability Controller (SPSSC) using Neuro-fuzzy system, and MATLAB S-function tool where the controller is taught from data generated by simulating the system for the optimal control regime. The controller is compared to a multi-band control system which is utilized to stabilize the system for different operating conditions. Simulation results show that the supervisory power system stability controller has produced better control action in stabilizing the system for conditions such as: normal, after disturbance in the electrical national grid as a result of changing of the plant capacity like renewable energy units, high load reduction or in the worst case of fault in operating the system, e.g. phase short circuit to ground. The new controller led to making the settling time and overshoot after disturbances proved to be lower which means that the system can reach to stability in the shortest time and with minimum disruption. Such behaviour will improve the quality of the provided power to the power grid

Empirical Analysis of High Voltage Battery Pack Cells for Electric Racing Vehicles

Copyright: © 2021 by the authors. This paper examines the specifications of lithium battery cells, which are considered one of the most vital sources for electrical energy storage units. The specifications have been covered to associate battery performance with its usage for electrically powered motor vehicles. With the motivation of rapid deployment of electric vehicles (EVs) around the world, the key contribution of this study is to provide a comparative investigation of well-known commercially available Li-ion battery cells used as a pack for electric race car. Five lithium cells from different manufacturers were analyzed for start voltage, end voltage, current, and the use of active cooling under different test conditions. Thermal imaging was used to provide more comprehensive analysis of tested battery packs. The outcomes of this experimental investigation are described in the sections below in the order in which the analyses were conducted. The key findings of this study are presented in the conclusion section.This research was funded by Taif University Researchers Supporting Project, grant number TURSP-2020/278, and the APC was funded by Mohammed Alqarni