An Improved Dingo Optimization Algorithm Applied to SHE-PWM Modulation Strategy

This paper presents a modification to the dingo optimization algorithm (mDOA) solve non-linear set of equations selective harmonic elimination (SHE) control technique widely applied in multilevel inverters. In addition, said is conducted survival criteria by including local search provide better balance when replacing vectors (dingoes) with low rate. The proposed method also benchmarked some unimodal functions illustrate its exploitation capabilities. Finally, SHE results were calculated and compared three well-known state-of-the-art metaheuristics, where modified version showed very competitive results. significant difference between mDOA rest algorithms determined Wilcoxon rank-sum non-parametric statistical test 5% degree significance. p-values confirm meaningful advantage other bio-inspired for many modulation indexes. Experimentally, validated through implementation three-phase 11-level inverter.