Centralized Demand Response Framework of an Aggregator under Uncertainty

This paper develops a centralized demand response (DR) framework to schedule the end user loads by the authority of aggregator. The aim of the aggregator is to schedule the customers' load demand and is formulated as a stochastic cost minimization optimization including phase unbalance and the peak-to-average ratio (PAR) as constraints. The optimization problem considerers the uncertainty in electricity price and solar PV generation. All the optimization formulations are modeled as a mixed integer linear program (MILP). The proposed framework is studied on secondary distribution feeder where 60 residential customers are connected in the system.