Multi-objective function for system modeling and optimal management of Micro grid: A hybrid technique

Abstract

A hybrid technique is suggested for optimal management of the Micro grid (MG) system in this paper. The suggested technique is the mixture of Cuckoo Search (CS) and Bat algorithm. Now, the multi objective function is employed to get the optimal operation and management of MG. Using the fuel cost with the operating and maintenance cost of the MG sources like Fuel Cell (FC), Micro Turbine (MT) and Diesel Generator (DG) the multi-objective function is improved. The suggested technique optimizes the MG source combinations with cheap cost, while pleasing the load demand. The suggested technique is used to determine the optimal combination of the MG source and their minimum costs, in order to please the load demand. In the MATLAB/SIMULINK platform the suggested method is executed and the performance assessment is performed by comparing the suggested technique with the presented techniques. The outcome, attained exposes the advantage of the suggested method and it is very much improved than that of other techniques.