Optimization Method of Spinning Reserve Capacity for Day-ahead Generation Scheduling Under the Constraints of Carbon Emission Limits

Abstract

In the context of power system with high proportion of wind power, the adjustable capacity of AGC units should be reserved to ensure real-time power balance when making day-ahead generation scheduling. In the framework with multi-power regulate segment, an analytical model of quantitative causality is presented for the problem how to reasonably arrange the upward reserve capacity and downward reserve capacity of AGC units in the day-ahead stage under the constraints of carbon emission limits. That regulating capacity not only ensures that the AGC unit can suppress the fluctuation of wind power and load, but also makes power system have a partial regulating margin, and robust optimization method is used for achieving the absolute security of these two aspects. Moreover, a new modeling method considering the fluctuation of wind power and load with upward reserve capacity and downward reserve capacity of AGC units is proposed, which reduces the number of constraints with random parameters and the complexity of the model. The simulation is carried out in modified IEEE 30-bus system with high proportion of wind power, which verifies the validity of the model.