Abstract: Disclosed is a method for identifying fragile lines in power grid based on electrical betweenness, which comprises the following steps: constructing the power grid into a network diagram, sequentially removing lines in the network diagram, and sorting the electrical betweenness of each line from large to small; constructing a nonlinear model of complex network cascade failure considering overload and weighted edges, and respectively performing two ways of removing lines for sorted electrical betweenness, namely sequentially removing preset proportion lines and sequentially removing all lines until no new lines are removed in the network diagram; obtaining a change of generator-load power before and after each line removal, and evaluating a severity of power grid failure based on the change of generator-load power, thus completing an identification of power grid fragile lines.

Abstract: Disclosed is a method for identifying fragile lines in power grid based on electrical betweenness, which comprises the following steps: constructing the power grid into a network diagram, sequentially removing lines in the network diagram, and sorting the electrical betweenness of each line from large to small; constructing a nonlinear model of complex network cascade failure considering overload and weighted edges, and respectively performing two ways of removing lines for sorted electrical betweenness, namely sequentially removing preset proportion lines and sequentially removing all lines until no new lines are removed in the network diagram; obtaining a change of generator-load power before and after each line removal, and evaluating a severity of power grid failure based on the change of generator-load power, thus completing an identification of power grid fragile lines.

Abstract: A method for intelligent fault detection and location of a power distribution network is provided, which includes: constructing a network topology of the power distribution network, updating the network topology in real time to obtain an updated network topology, performing a fault identification based on the updated network topology, performing a fault locating based on the updated network topology to determine a fault node, and identifying a fault type based on a fault recorded signal of the fault node. With this method, fault locations and fault types of the power distribution network can be accurately detected in real time.

Abstract: A method for intelligent fault detection and location of a power distribution network is provided, which includes: constructing a network topology of the power distribution network, updating the network topology in real time to obtain an updated network topology, performing a fault identification based on the updated network topology, performing a fault locating based on the updated network topology to determine a fault node, and identifying a fault type based on a fault recorded signal of the fault node. With this method, fault locations and fault types of the power distribution network can be accurately detected in real time.