Energy Management Strategies in Micro Grid using Hybrid DEA,GA and BDC Theorem

Abstract

This paper evaluates hybrid differential evolution algorithmwith genetic algorithm and benders decomposition
theorem of IAMG is used to solvethe large scale mixed integer programming problems. Hybrid GA with DE algorithm and BDC
theorem is implemented in integer area Micro grids. IAMG synchronise with CAUGor as a separated system to the
consumerisolated from CAUG.IAMG includes various IAERs to produce consumer needed power and Geneticalgorithm to
selecthighest power with high benefit of precocious time. BDC theorem is implemented in the IA MG and CAUG maintain the
prediction value of power plants .Used in transformation theory, Differential evolution theory maintain the correct power in
IAMG and CAUG.So the load and power production is matching together. In the DE algorithm avoid the frequency disturbance
of the integer area micro grid and maintain the frequency in 50 Hz. DE algorithm identify the fluctuations of sine wave in the
integer area micro grid and regulate the fluctuating sine wave.Another one application of DE algorithm maintain the power
quality of city area utility grid.DE algorithm maintain the synchronization of IAMG andCAUG and correct the current variation,
voltage variationand energy variation.So the DE algorithm manage theenergy inIAMG and CAUG and avoid the loadshedding.