Capacity optimization for power storage systems in smart grids

The power storage systems in smart grids can continually supply electric power to avoid large area blackouts during fault repair periods. However, the costs of power storage systems are proportional to their capacity. In this paper, the models of power transmission systems are constructed by using finite capacity Petri nets. A scheme for computing the minimum capacity of power storage systems is proposed by analyzing the property of power transmission system models. This scheme can avoid large area blackouts caused by the incompatibility of system parameters. Moreover, it also proposes a constraint for large area blackout avoidance during fault repair periods. Finally, a case study is presented to verify the proposed scheme. The results show that the scheme can avoid large area blackouts and that the capacity of power storage systems are optimized.