Energy scheduling for residential distributed energy resources with uncertainties using model-based predictive control

This paper proposes a reliable energy scheduling framework for distributed resources (DER) of residential area to achieve an appropriate daily electricity consumption with the maximum affordable demand response. Renewable and non-renewable are available respond customers’ demands using different methods manage energy. The optimal operation problem is mixed-integer-linear-programming (MILP) investigated model-based predictive control (MPC) determine which dispatchable unit should be operated at what time power level while satisfying practical constraints. sources (RES), particularly solar wind energies, have recently expanded their electric systems role. Although they environment friendly accessible, there challenging issues regarding performance, such as dealing variability uncertainties concerned them. research investigates management these in three complementary scenarios. first second scenarios respectively suitable market constant inconstant price. Additionally, third scenario proposed consider role RES, it designed recompense shortage resources. validity explored 24 h, results thoroughly demonstrate competence approach decreasing cost.