Neural Network and Fuzzy Control Based 11-Level Cascaded Inverter Operation
نویسندگان
چکیده
This paper presents a combined control and modulation technique to enhance the power quality (PQ) reliability (PR) of hybrid energy system (HES) through single-phase 11-level cascaded H-bridge inverter (11-CHBI). The controller specifically regulate HES meet load demand. To track optimum power, Modified Perturb Observe (MP&O) is used for HES. Ultra-capacitor (UCAP) based storage device novel current strategy are proposed provide additional active support during both voltage sag swell conditions. For an improved PQ PR, two-way such as main (MC) auxiliary (AC) suggested 11-CHBI operation. MC component fuzzy (FC), AC dc-link CHBI neural network-based PI (ANN-PI). By tracking reference signals from AC, pulse width (HPWM) justify analyze MATLAB/Simulink software-based designed model, robust performance tested numerous steady-state dynamic state case studies.
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ژورنال
عنوان ژورنال: Computers, materials & continua
سال: 2022
ISSN: ['1546-2218', '1546-2226']
DOI: https://doi.org/10.32604/cmc.2022.019559