All-scenario-feasible optimization method for coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources

The energy structure of China's power grids is under great changes. The participation of renewable energy and the construction of storable energy have brought new challenges to the operation of power grids. These make the scheduling of multiple power sources become very valuable to both system operators and researchers. Hence, this paper proposed an all-scenario-feasible (ASF) optimization method for the coordinated scheduling of security constrained power grids with uncertain renewable and storable energy sources. The method of this paper has a good performance in the accommodation of renewable energy. It is able to guarantee the nonanticipativity of storable energy while coping with the random fluctuation of renewable energy. Besides, this method is based on the mixed-integer linear programming (MILP) and it will be explained on the typical power grid in this paper, which has wind power, thermal power and pumped storage plants (PSPs). The conclusions of this method are also applicable to other similar sources and the optimization results obtained from the case study demonstrate that our method is effective and of good performance in dealing with uncertainty of renewable energy.