Abstract:

Existing distribution network fault recovery strategy tends to be inefficient and locally convergent for high penetrated distributed photovoltaic grid connection. Hence in this paper, a distribution network fault recovery strategy is proposed based on quantum firefly algorithm . The objective function is constructed in terms of a master-slave dual objective optimization to minimize both the load loss and network losses, and corresponding fault recovery model with distributed photovoltaic grid connection is established by taking into account of the constraints. To overcome the drawbacks of the standard firefly algorithm, quantum encoding and quantum rotation gates were applied to enhance the optimization efficiency and global search capability of the firefly algorithm such that the total solution time can be greatly shortened. Next from the fault recovery model solved after proposed algorithm, by controlling the on-off status of the circuit breakers in the distribution network system, the lost load can be restored as much as possible to ensure the restoration of power supply to critical loads, while minimizing network losses. Finally, case studies were conducted on the IEEE 33 bus system to verify the feasibility and advantages of the proposed method.

Key words: distribution network, fault restoration, distributed photovoltaic, quantum rotation gate, quantum firefly algorithm