Two-Stage Optimal Dispatching for Microgrid Considering Dynamic Incentive-Based Demand Response

Abstract

Aiming at the uncertainty of wind power, photovoltaic output and load size in microgrid, starting from the two stage of day-ahead and real-time, a two-stage optimal dispatching model of microgrid was established. In the day-ahead dispatching stage, an economic dispatching model based on the optimal total operation cost of microgrid is established; Based on the results of day ahead scheduling optimization, the real-time scheduling stage considers the output adjustment sequence of each power supply in real-time optimization scheduling, and proposes a real-time rolling optimization strategy with dynamic incentive-based demand response(IBDR) participation. The incentive price and user's participation capacity of the strategy presents dynamic changes with time scale moving forward, aiming to use price to guide users to increase their participation in demand response. Finally, a calculation example shows that dynamic incentive model demand response compared with traditional incentive model demand response can not only improve the tracking effect of the day-ahead tie line plan, but also better eliminate the day-ahead prediction error of the microgrid. It can significantly improve the user's income and effectively reduce the system operation cost, which provides a reference for the optimal operation of the market-oriented microgrid.