Dragonfly Algorithm-Based Optimization for Selective Harmonics Elimination in Cascaded H-Bridge Multilevel Inverters with Statistical Comparison

Abstract

Harmonics worsen the quality of electrical signals, hence, there is a need to eliminate them. The test objects under discussion are single-phase versions of cascaded H-bridge (CHB) multilevel inverters (MLIs) whose switching angles are optimized to eliminate specific harmonics. The Dragonfly Algorithm (DA) is used to eradicate low-order harmonics, and its statistical performance is compared to that of many other optimization techniques, including Particle Swarm Optimization (PSO), Accelerated Particle Swarm Optimization (APSO), Differential Evolution (DE), and Grey Wolf Optimization (GWO). Various scenarios of the algorithms’ search agent population for inverters with seven, nine, and eleven levels of output voltages are comprehensively addressed in this research. No algorithm shows total dominance in every scenario. The DA is least impacted by the change in dimensions of the narrated problem.

A grey wolf optimization-based modified SPWM control scheme for a three-phase half bridge cascaded multilevel inverter

“…The optimization process in GWO involves three main phases: encircling prey, hunting, and updating positions. Initially, the positions of the wolves, which represent potential solutions, are randomly initialized 45 . The encircling prey phase involves adjusting the positions of the wolves to surround the most promising solutions.…”

Comparative assessment of differently randomized accelerated particle swarm optimization and squirrel search algorithms for selective harmonics elimination problem

“…The quarter-wave symmetry of the narrated inverters aids in simplifying the discussed problem. As more voltage output levels are introduced in the inverter, more orders of harmonics can be eliminated from the system, but the structure and control become complex 6 . As far as the optimization is concerned, a greater number of voltage output levels correspond to more variables to be calculated and hence causing an increment in the dimension of the problem 6 .…”

“…As more voltage output levels are introduced in the inverter, more orders of harmonics can be eliminated from the system, but the structure and control become complex 6 . As far as the optimization is concerned, a greater number of voltage output levels correspond to more variables to be calculated and hence causing an increment in the dimension of the problem 6 . The variables involved in the optimization problem are enveloped in the positions of the search particles constituting the algorithm.…”

“…Different parameters or functions related to the distributions can be used to ensure that the impact of randomization lies within the specified limits 13 . The accelerated Particle Swarm Optimization (APSO) algorithm has been deployed to solve various problems, including SHE 6 . APSO uses the position and velocity of the search particles along with the randomization to perform optimization 14 .…”

Optimization of Leaky-ESN parameters based on dragonfly and whale algorithm

“…In [12], The numerical optimization of fourcolor maps with fewer than 100 regions is further addressed using an improved discrete DA that alternates between global and local discrete search strategies. In [13], DA is used to eliminate low-order harmonics, which helps some inverter algorithms with output voltage levels to search for groups of agents.…”