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Load restoration is important for reducing outage time and loss of smart grid after a blackout. Load recovery strategy of network reconfiguration is maximizing load amount during system restoration without considering the startup characteristic of thermal plants, which may result in the time-delay of hot-start generators and decrease the efficiency of power system restoration. In order to increase the restoration efficient of network reconfiguration stage, this paper proposes a load restoration strategy considering the recovery state of power plants based on logical preference description language (LPDL). Firstly, the load selection constraint determined by the recovery state of power plants in each time step is formulated by LPDL. Then, a non-linear optimization model for load restoration during network reconfiguration is established with the load selection constraint. Artificial Bee Colony algorithm (ABC) is employed to obtain the optimal load restoration scheme. Finally, the New England power system is employed to demonstrate the validation of the proposed method.

Load restoration strategy considering the recovery state of power plants in system restoration stage