PROJECT TITLE :

Optimizing Load Control in a Collaborative Residential Microgrid Environment

ABSTRACT:

This paper develops an analytical model for a residential microgrid (RMG) beneath a collaborative atmosphere. The model assumes that the RMG community is below a social agreement referred to as Collaborative Consumption. The model includes a framework for RMGs employing a unique method of demand response primarily based on the actual characteristics of residential masses. Residential hundreds are categorized into three types primarily based on their necessity and reschedulable ability. Shoppers assign priority to their appliances. Then, the microgrid informs consumers about their real-time consumption and economic advantages related to their participation in collaborative consumption. Accordingly, consumers can evaluate prompt alternatives prior to using appliances and consequentially make higher choices. Finally, the effects of model parameters on profit maximization are studied. The results of this paper estimate the economic benefits among a collaborative environment.