SLDB controller based 31 level MLI for grid-connected hybrid renewable energy sources

In the recent decade, multilevel inverters (MLI) are in favour of academia as well as industry for high power and medium voltage applications. MLI can synthesize switched waveforms with low harmonic distortions than two level converter. The MLI are commonly deployed in grid connected renewable energy sources (RES) to providing better reliability and reducing the harmonics. This paper uses 31 level MLI with reduced switch topology for minimizing Total Harmonic Distortion (THD). This inverter performance is completely tuned by SLDB controller. The SLDB controller is the combination of Deep Belief Network (DBN) and Sea Lion Optimization algorithm (SLnO). The procedure of DBN is optimized by SLnO which is utilized to handle the switching angle of MLI easily and also it generate low harmonic voltage and get better THD. The SLnO algorithm is very competitive because SLnO was conducted on 23 mathematical optimization problems for analyse the exploitation, exploration phases and suggested methods convergence behaviours. This is the most suitable reason for selecting the SLnO algorithm to optimize the DBN. MATLAB/Simulink platform is used to design the work and some parameters like inverter voltage, inverter current, grid voltage, grid current and the analysis of THD, power loss and efficiency are taken and which is compared with other existing algorithms. The proposed THD is 0.1%, efficiency is 99.2% and the power loss is 0.005 (pu), the proposed method gives better performance than existing works.