Execution of optimization technique in DC-DC converter to unswerving real and reactive power flow

The benefits of Landsman converter over not the same converters are decline in thorough symphonious twisting, yield power is high and has high effectiveness. A DC-DC Landsman converter make known to relate with framework tied inexhaustible framework is to give high addition and to control the reactive and active power. Artifical Intelligence have driven the advancement of firefly algorithm streamlining calculation is utilized for ideal tuning of PI regulators to manage the real and reactive power of a grid with distributed energy resources. The AI Techniques based MPPT regulator are worthwhile over perturb and Observe based MPPT calculation as it give appropriate yield power. The boost converter utilized in lattice incorporated framework has less voltage proportion. To defeat the downside Landsman converter is utilized for improved addition alongside MPPT regulator to control the power flow. The demerits of P& O method it will take only voltage parameter for optimization process which brings loss in power and poor in efficiency. The proposed strategy performs better than the existing optimization technologies for DC-DC Landsman Converter.