A Novel Economic Load Dispatch Method for Microgrid Considering Incentive-based Demand Response

摘要

Effective uncertainties management is required to realize stable operation for community microgrid consist of electricity loads, variable renewable energies (VREs), electric vehicles (EVs), and so on. The authors propose a robust energy management (REM) controller for optimizing system operation against the uncertainties. Useful solutions are provided to the microgrid system operator whereas if the power imbalances are occurred by unpredictable events. The functions of the proposed REM controller consist of loads/VREs forecasting algorithm using artificial intelligence techniques, day-ahead 24-hour unit commitment based on the prediction error, and intra-day 1-hour economic load dispatch (ELD) securing the feasible operation regions with controllable generators. This paper proposes a robust ELD method against the uncertainties, and the supply and demand mismatch at an unpredictable event time is effectively treated and resolved by using incentive-based demand response (IDR). The scheme of the IDR program based on genetic algorithm (GA) is offered from the system operator to the consumers in community microgrid. The feasible solutions are provided to the consumers as the incentive due to prevent the power imbalance problem.