JIANG Yuan, LI Qing, FENG Qian, et al. Fault Location and Protection Method for DC Power Grid Based on BP Neural Network[J]. High voltageapparatus, 2020, 56(8): 23-28.
JIANG Yuan, LI Qing, FENG Qian, et al. Fault Location and Protection Method for DC Power Grid Based on BP Neural Network[J]. High voltageapparatus, 2020, 56(8): 23-28. DOI: 10.13296/j.1001-1609.hva.2020.08.005.
Fault Location and Protection Method for DC Power Grid Based on BP Neural Network
Flexible AC/DC hybrid grid will become an important link in the future power grid. The fault location method and protection method are the basis to ensure safe
stable and reliable operation of power grid. However
the fault identification methods of DC power grid are not easy to determine the time and location of a fault
which makes it difficult to form a robust protection strategy. This paper analyses the influences of many kinds of faults widely existing in DC power grid
and proposes a real-time fault diagnosis method based on BP neural network model with current and current change rate characteristics. Then
the fault area is isolated by using inverse-time overcurrent protection strategy on hybrid bipolar DC circuit breaker. MATLAB/Simulink simulation verifies that the protection scheme can locate and isolate the fault area effectively
accurately and quickly
and is conducive to improving the reliability of DCpowergridoperation.