Two Stage Scheduling Optimization Model for Micro Energy Grid Considering the Uncertainty of Demand Response

As demand-side distributed renewable energy is rapidly expanding, micro energy grid is a new vehicle to drive the development of demand-side energy transformation in the future. Aiming at the uncertainty of wind power generation and demand response within the micro energy grid, this paper proposes a two-stage scheduling optimization model of micro energy grid considering the uncertainty of demand response. First, this paper analyzes the energy coupling relationship among micro gas turbine, electric boiler, electric-to-gas conversion, energy storage device and other equipment, and establishes the appropriate energy input/output model. Afterwards, the prediction error of wind power generation and load is analyzed, and then the impact of user demand response behavior on its prediction error is analyzed. Finally, in order to control the deviation of the day-ahead dispatching schedule, this paper constructs a two-stage day-ahead-intraday dispatching optimization model for micro energy grid. In this paper, we design examples to confirm the validity and applicability of all models.