Combination of renewable generation and flexible load aggregation for ancillary services provision

Liberalized markets provide opportunities for load aggregators to reduce their operating cost by participation in the wholesale electricity market. Reduction in operating cost result from shifting flexible loads based on the electricity price and also from incentives paid for ancillary service provision. Increased penetration of distributed renewable generation could help distribution system operators (DSO) reduce energy losses and increase network reliability. On the other hand, variability of renewable sources introduce additional challenges that need to be addressed in order to reduce their adverse effects on the power system. This work proposes an energy management system for aggregation of controllable loads in the distribution system. Local generation uncertainties are considered using model predictive control (MPC). The goal of the controller is to provide a schedule for the controllable loads while considering both local solar photovoltaic (PV) generation and provision of ancillary services. A case study based on the National Electricity Market of Singapore (NEMS) is presented to validate the proposed method.