Electric Vehicles (EVs) is found to be a capable method to enhance the transport systems. Nevertheless, higher supply of EVs leads to higher demand of electricity. An effectual technique to decrease this impact is to combine renewable energy sources (RESs) with charging infrastructure. This research aims to set up a dispatch policy using optimization theory for enhancing the economy of microgrid (MG) systems. The most significant intention is to lessen the functional cost of system while meeting system load requirements. Accordingly, the output constraints related to distributed power supply are optimized using Grasshopper Optimization with Genetic Algorithm (GOAGA). Further, the superiority of GOAGA is authenticated over existing works regarding wide-ranging measures. From the examination, the GOAGA model reveals a minimum cost value for C1, C2 and total cost over other techniques, therefore ensuring the superior economy of MG.