Meta-Heuristic Algorithm Based Asymmetric Multilevel Inverter for Addressing Power Quality Issues

In power electronics, multilevel inverters are essential for increasing power quality, boosting efficiency, and lowering harmonic distortion. This paper presents a new method for generating pulse patterns in multilevel inverters by using the Northern Goshawk Optimization Algorithm (NGOA). The 125-level Asymmetric Multi-Level Inverter is designed and employed to address power quality concerns like sag and swell. The Northern Goshawk Optimization Algorithm is utilized to develop pulse patterns in multilevel inverter systems with the goal of attaining enhanced performance, drawing inspiration from the hunting techniques of goshawks. The primary device in the Custom power devices, the DSTATCOM, utilizes power electronic elements to control power flow and improve power quality in power grids. This study aims to uphold voltage stability within the power system by fine-tuning reactive power through the design and application of a DSTATCOM (Distributed Static Synchronous Compensator) based on a 125- level Asymmetric Multi-Level Inverter, employing the Goshawk Optimization Algorithm.