Abstract

In this paper, the marine predator algorithm (MPA) is proposed for solving transcendental nonlinear equations in a selective harmonic elimination technique using a multilevel inverter (MLI). It proved its suitability and supremacy over the other selective harmonic (SHE) techniques used in recent research as it has good precision, high probability of convergence, and improving quality of output voltage. The optimum values of switching angles from MPA are applied to control a three-phase 11-level MLI using cascaded H-bridge (CHB) topology to control the fundamental component and cancel the low order harmonics for all values of modulation index from 0 to 1. Analytical and simulation results demonstrate the robustness and consistency of the technique through the MATLAB simulation platform. The results obtained from simulation show that the MPA algorithm is more efficient and accurate than other algorithms such as teaching-learning-based optimization (TLBO), flower pollination algorithm (FPA), and hybrid particle swarm optimization with gray wolf optimization (PSOGWO). A prototype for a three-phase seven-level cascaded H-bridge inverter (7L-MLI-CHB) experimental setup is carried out. The output of this experimental test validated and supported the results obtained from the simulation analysis. The model of power loss of three-phase 7L-MLI-CHB using the silicon metal-oxide-semiconductor field-effect transistor (MOSFET) is obtained according to the modulation technique. Conduction and switching losses are calculated based on the experimental manufacturer data from the Si-MOSFET using the thermal model of Piecewise Linear Electrical Circuit Simulation (PLECS). Losses and output power are measured at different modulation index values based on the MPA algorithm. Finally, a design of heatsink volume is presented for this design at different temperatures.

Highlights

  • The multilevel inverter (MLI) structure is implemented as an alternative power range

  • Different sources of power, such as batteries, capacitors, fuel cells and PV solar panels can be used with multiple sources of DC inputs in some topology of MLI

  • During the last three decades, MLI research has gained a lot of attention as it has many advantages compared to the traditional two levels inverter using pulse width modulation (PWM)

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Summary

Introduction

The multilevel inverter (MLI) structure is implemented as an alternative power range. By assessing a particular fitness function (FF), one may exclude the intended lower-order harmonics In this respect, the generalized waveform of the staircase output voltage consideration of one switch per cycle as shown in Figure 2 of (2S + 1) levels inverter, can be given in terms of the Fourier series in Equation (1) [24]. The best solution for a predator is not to move at all This case happens in low iteration numbers (the first third of iterations); the mathematical model of this phase is as follows: stepsizei = RB ⊗ Elitei − RB ⊗ Preyi (12). Phase III: This phase is corresponding to the low velocity ratio It simulates in the remaining values of iterations, where that is the best strategy of predator is Lévy motion. FAD=0.2 P=0.5 Initialize of prey and top predator matrix (Preyi, Elittei) Equation (10,11) While (Iter≤Max_Iter) if (Iter≤Max_Iter/3) Update prey matrix Equation (12,13) else if (Max_Iter/3

Performance Evaluation of MPA in SHE-MLI
Vh λh V1
Comparison of Algorithms in 11-Level Inverter
Simulation Results for Seven-Level Inverter
Conduction Losses
Switching Losses
The Simulation Model for the Loss Estimation
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