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High Hybrid Power Converter Performance Using Modern‐Optimization‐Methods‐Based Pwm Strategy, Khaled Nusair, Feras Alasali, William Holderbaum, Arangarajan Vinayagam, Asma Aziz
High Hybrid Power Converter Performance Using Modern‐Optimization‐Methods‐Based Pwm Strategy, Khaled Nusair, Feras Alasali, William Holderbaum, Arangarajan Vinayagam, Asma Aziz
Research outputs 2022 to 2026
Recently, interest in DC networks and converters has increased due to the high number of applications in renewable energy systems. Consequently, the importance of improving the efficiency of the hybrid converters has been highlighted. An optimal control strategy is a significant solution to handle the challenges of controlling the hybrid interleaved boost–Cuk converter. In this article, a modern‐optimization‐methods‐based PWM strategy for a hybrid power converter is developed. In order to improve the performance of the hybrid converter, four modern optimization algorithms—namely, Manta ray foraging optimization (MRFO), Marine Predators Algorithm (MPA), Jellyfish Search Optimizer (JS), and Equilibrium Optimizer (EO)—are employed to …