A rational sustained overvoltage control strategy is an important part of the power system restoration plan. In order to overcome the limitations of the sustained overvoltage static control strategy

a dynamic multi-objective sustained overvoltage control model is proposed. With the restoration sequence as the optimization period

and restoration operation as the segmentation flag

the model proposed takes the whole process into consideration. According to the demand for restoration

the objective functions adapted to restoration are defined and the risk of restoration sequence

operation time of voltage control scheme and voltage deviation of energized buses are considered. An improved strength Pareto evolutionary algorithm (SPEA2) is used to get the Pareto frontier

and the lexicographic ordering method is used to get the optimal solution. The effectiveness of the proposed model is verified by comparing and analyzing the simulation results of dynamic and static optimization in different restoration scenarios in Shandong power grid. This work is supported by National Basic Research Program of China (973 Program) (No. 2012CB215101) and National Natural Science Foundation of China (No. 51177092).