LFSR optimization model based on the adaptive coefficients method for ERNC reconfigurable systems

Abstract

In this research, an optimization model for renewable energy systems is presented, considering the hybrid configuration of conversion, storage stages, and feedback scheme, based on adaptive coefficients of the LFSR (Linear Feedback Shift Register) architecture. The correlation method between the conversion modules for bifacial and wind photovoltaic technology comprises the neural model and an analysis of the component structures to establish descriptive equations. The results include the characterization of the modules for a concatenated scheme, simplification of the level of abstraction, and correspondence between the hybrid feedback system models. The conclusion is that the reconfigurable model with selective feedback meets the criteria for regenerative energy recovery and reusable components, supporting the adaptation of technologies to sustainable development models.