Day-Ahead Optimal Scheduling of a Multisource System with Wind Dynamic Frequency Response and Forecast Error Bounds
xiaokang geng, yuanxiang luo, xinmeng panIntroduction:
Forecast uncertainties in wind power and load can drive system frequency beyond permissible limits.
Methods:
First, a modeling method is proposed for a dynamic frequency-regulation coefficient that accounts for the wind power output margin, thereby capturing wind turbines’ dynamic frequency response capability more accurately. Second, wind and load forecast errors are represented as interval variables to more reasonably characterize their impact on system frequency. Finally, considering the frequency response characteristics of thermal units and pumped-storage units, an optimization model for multisource joint scheduling with explicit frequency constraints is formulated.
Results:
Simulations on a modified IEEE 39-bus test system show that the proposed model effectively reduces total operating cost and wind curtailment, while significantly improving system frequency performance indices.
Discussion:
The simulation results indicate that embedding dynamic wind frequency support and interval-based forecast-error modeling into the scheduling framework strengthens the robustness of frequency security constraints and enables more rational coordination among thermal, wind, and pumped-storage resources under high wind penetration
Conclusion:
Incorporating wind dynamic frequency response and interval-based forecast-error modeling into day-ahead multisource scheduling enables coordinated enhancement of economic efficiency and frequency security, offering practical value for power systems with high wind penetration.