High Hybrid Power Converter Performance Using Modern-Optimization-Methods-Based PWM Strategy

Recently, interest in DC networks and converters has increased due to the high number of applications renewable energy systems. Consequently, importance improving efficiency hybrid been highlighted. An optimal control strategy is a significant solution handle challenges controlling interleaved boost–Cuk converter. In this article, modern-optimization-methods-based PWM for power converter developed. order improve performance converter, four modern optimization algorithms—namely, Manta ray foraging (MRFO), Marine Predators Algorithm (MPA), Jellyfish Search Optimizer (JS), Equilibrium (EO)—are employed minimize input current ripple under different operation scenarios. The results proposed algorithms have shown more efficient balanced power-sharing compared with conventional strategies literature on such as Differential Evolution (DE) Particle Swarm Optimization (PSO). addition, all cases presenting successfully reduced at methods.