Owing to the effect of uncertainties of load restoration on the power system security in the restoration process

it is necessary to consider the uncertainties during restoration. Afraid it's hardly practical to obtain an accurate model of load uncertainty distribution

a network load restoring robust optimization method based on the information gap decision theory(IGDT)is proposed. This will enable the load restoring scheme to always meet the requirements within the range of fluctuation without prior knowledge of load uncertainty distribution. According to IGDT

the deterministic optimization model is reformed to a robust model

which can always achieve the minimum restoration object in the range of load fluctuation. Meanwhile

the maximum capacity of load restoration constraints

the maximum capacity of load restoration at each time step

power flow constraint and other constraints are taken into account comprehensively. The artificial bee colony(ABC)algorithm is also used to solve the optimization problem. Finally

numerical tests on a New England system and on Jiangsu power grid are used to demonstrate the effectiveness of the proposed method.