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    Red deer algorithm based harmonic mitigation for asymmetric cascaded multilevel inverters
    (Institute of Electrical and Electronics Engineers Inc., 2022) Bektaş, Yasin; Karaca, Hulusi
    This study aims to find the optimum switching angles in an asymmetric cascaded H-bridge multilevel inverter (CHB-MLI) powered by photovoltaic (PV) panels. Red Deer Algorithm (RDA), a newly developed algorithm, has been applied to solve the selective harmonic elimination (SHE) equations. The calculated switching angles are used to obtain a 19-level output voltage using only 3 different amplitude DC sources and 3 H-bridge modules in Matlab/Simulink. The simulation results show that the RDA can accurately and quickly suppress selected harmonics while controlling the fundamental voltage with less than 0.06% error in the modulation index range of 0.2 to 1.0. The proposed RDA optimization has eliminated the selected harmonics without complex analytical calculations and reduced the total harmonic distortion.
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    Red deer algorithm based selective harmonic elimination for renewable energy application with unequal DC sources
    (Elsevier Ltd, 2022) Bektaş, Yasin; Karaca, Hulusi
    This study aims to find the optimal switching angles in a cascaded H-bridge multilevel inverter (CHB-MLI) fed by photovoltaic (PV) panels, keeping the output voltage constant regardless of the panel voltage change and eliminating low-order harmonics. For this purpose, Red Deer Algorithm (RDA), a newly developed algorithm, has been applied to solve selective harmonic elimination (SHE) equations. Calculated switching angles are simulated by applying three-phase 7-level CHB-MLI in Matlab/Simulink environment. RDA optimization has been compared in performance to evolutionary algorithms such as particle swarm optimization (PSO), genetic algorithm (GA) and pigeon inspired optimization (PIO). The results show that in the case of unequal DC voltage, RDA can suppress selected harmonics accurately and quickly while controlling the fundamental voltage with a 0.02% error. The proposed RDA optimization can be used for multilevel inverters fed by any number of variable input voltages to eliminate selected harmonics and reduce total harmonic distortion (THD) without complex analytical calculations.
  • Küçük Resim
    Öğe
    Red deer algorithm-based selective harmonic elimination technique for multilevel inverters
    (Institute of Advanced Engineering and Science, 2023) Bektaş, Yasin; Karaca, Hulusi; Taha, Taha A.; Zaynal, Hussein I.
    This paper proposed a red deer algorithm (RDA)-based selective harmonic elimination (SHE) method for multilevel inverters (MLIs). To eliminate the desired harmonic orders, the optimum switching angles of the MLI have been calculated using the proposed RDA. The calculated switching angles have been applied to the 3-phase cascaded H-bridged 11-level inverter. In addition, the performance of the proposed RDA method was compared with the results of methods such as the Newton-Raphson (NR) method, LSHADE/EpSin technique (LSHADE), whale optimization algorithm (WOA), and particle swarm optimization (PSO) used for the SHE problem in the literature. The results obtained prove that the proposed RDA optimization solves the SHE problems more effectively than other methods. It has also been observed that RDA produces good solutions in different modulation indexes.