A two-stage stochastic programming method for optimal power scheduling with solar power integration

摘要

The traditional power grid is confronted with great challenges brought by the integration of renewable power sources (such as solar and wind) for their uncertain, volatile, and intermittent characteristics. This paper investigates the unit commitment problem with stochastic solar power integration and makes the following major contributions. First, the scheduling problem is formulated as a two-stage stochastic programming. In the first stage the unit commitment, economic dispatch, and solar power scheduling decisions are made based on the day-ahead solar power prediction and in the second stage the solar power is rescheduled with real-time solar power generation as each decision instant approaching. Second, in the rescheduling, cost for buying reserve and penalty for curtailing solar power are considered for higher penetration and better utilization of solar power. Third, the problem is reformulated as a stochastic mix-integer linear programming to facilitate computation and the influences of spinning reserve price, penalty for curtailing solar power, and solar power uncertainty are analyzed and discussed. The performance of the proposed method is compared with a deterministic programming, a robust programming, and a stochastic programming through a modified six-bus system and the results demonstrate that the proposed method can better accommodate the fluctuation of solar power.