Demand Response Management of a Residential Microgrid Using Chaotic Aquila Optimization

In this paper, Chaotic Aquila Optimization has been proposed for the solution of demand response program a grid-connected residential microgrid (GCRMG) system. Here, main objective is to optimize scheduling pattern connected appliances building such that overall user cost are minimized under dynamic price rate electricity. The GCRMG model considered analysis equipped with fuel cell, combined heat and power (CHP), battery storage It control schedule thermostatically controlled deferrable interruptible optimally. A multipowered system distinct load electricity makes function complex highly constrained in nature, which difficult solve efficiently. For optimization problem, both (CAO) (AO) algorithms implemented, their performance analyzed separately. Obtained simulation results terms optimal corresponding reveal better searching handling capability AO. addition, experimental show sinusoidal map significantly improves performances Comparison other reported methods also made, supports claim superiority approach.