Abstract
With the increase in wind power integration in power systems, wind power uncertainty can no longer be neglected in the determination of the day-ahead power generation schedules. Aiming to achieve the best economy of power generation of the system, this study proposes a unit commitment (UC) optimal model for thermal plants, considering the fuel costs required for compensating for the wind power below schedule. The AC power flow equations are included as constraints based on the second-order cone programming (SOCP) method. SOCP is further improved here by considering line loss as constraint to guarantee the validity of its solution. Research shows that generators with lower minimum-output and fuel-cost rates are preferred to be online and that reasonable wind curtailment is beneficial for reducing the generation cost. Finally, AC power flow verification is carried out and the results suggest that the improved SOCP method could model the AC power flow equations correctly. The proposed methodology can be effective in making UC decisions for power grids with high wind power penetration.
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