A Grey Wolf Optimized 15-Level Inverter Design with Confined Switching Components

Multilevel inverters are a new class of dc-ac converters designed for high-power medium voltage and power applications as they work at high switching frequencies in renewable by avoiding stresses like dv/dt has low harmonic distortion their output voltage. In variable speed drives generation systems, the use multilevel is obligatory. To estimate positions inverter configuration with value, fast sequential optimization algorithm been established. For reduction design, hybrid technique combining Firefly Genetic was used. several real-time systems solving complex engineering problems, approaches gaining popularity. Based on Grey Wolf Optimization (GWO), this research paper proposes novel architecture. The GWO based natural leadership hierarchy hunting mechanism grey wolves (Canis lupus). Optimizer (GWO) used to find best angles cascaded order eliminate some harmonics while sustaining desired fundamental proposed 15 stages, circuit’s unique feature includes limited device. This method comprises, MOSFET-based switches well three DC sources main circuit. parameters topology tuned using methodology. THD value system reduced 6.629% compared that Inverter Algorithm, standalone supply, assisted APSO algorithm, regulation FPGA. A few simulation studies have included affirm capability topologies various condition parameters, dynamic changes, modulation indexes.