A Novel Intrinsic Power Transformation Algorithm Employed in Dual Active Bridge Converter for the Performance Improvement in Hybrid Microgrid

Abstract

The hybrid Renewable Power Generation System (RPG) has been developed in recent years because of its unique properties during the power extraction process, such as cleanness, noiselessness, and environmentally friendly nature. The micro grid idea presents the decrease of various transformations inside an individual A.C. or D.C. network. It encourages the association of sustainable variable A.C. and D.C. sources and loads in power frameworks. Here P.V. systems, wind turbine generators, and batteries are used for power management strategies are employed in this system. For the energy stabilization of the RPGS, the DC-DC converters are commonly used in a wide range of applications, and they offer significant benefits when used appropriately. The proposed design technique describes the circuit analysis of a Dual Active Bridge (DAC) converter that generates common waveforms based on the circuit behavior. The evaluation of a dual active bridge converter interacting with a Renewable Energy System (RES) tracked by a maximum power point tracking technique is then used to develop a RES system for the stable power generation of the proposed DAC. The proposed Intrinsic Power Transformation Algorithm (IPTA) method stabilizes on three-time scales. The first two sub-gate levels are executed. Finally, the system level is the executed power variation. Through these two facilitated control techniques, vacillations in power utilization are steady for the most part. On the third time scale, the steady-state error of the varying load system is analyzed and optimized using the IPTA. The proposed IPTA control scheme is verified through steady-state error (%), Total Harmonics Distortions (THD) %, and efficiency (%) of the system.