Effective utilisation of cascade H-bridge multi level inverter integrate social spider optimisation for reduced total harmonics distortion

Abstract

The significance intention of the proposed method is to eliminate total harmonics distortion (THD) in solar photovoltaic cells powered cascaded H-bridge multilevel inverter (CHMLI). This purpose incorporates Newton-Raphson (NR), particle swarm optimisation (PSO), artificial bee colony (ABC), genetic algorithm (GA), cuckoo search (CS) and social spider optimisation (SSO)-based selective harmonic elimination technique for solving a non-linear transcendental equation to obtain optimal switching angle to achieve minimise THD. The foremost goal to reduce THD value beyond IEEE standard allowable limit is to predict optimal switching angle. This prediction is done in offline then it utilises for online simulation process to achieve minimised THD. Amid, aforementioned techniques incorporate with CHMLI; SSO behaves literally better than all other comparative techniques to attain 3.6% of THD in line voltage from the modulation index of 0.95. This customised product development would enhance quality power flow in this power generation.

Motion comfort analysis of tight-fitting sportswear from multi-dimensions using intelligence systems

“…The is especially so for a single algorithm, because a single algorithm has inherent shortcomings; the hybrid algorithm, 31,32 which integrates two or more algorithms, is getting more and more applications, such as particle swarm optimization (PSO) combined with the cuckoo search (CS) to overcome its limitations. 33–40 PSO-CS has been widely used in many fields, but rarely in clothing comfort research. In addition, the existing researches studied many kinds of clothing, but there are very few researches on winter tight sportswear.…”