Medium voltage distribution network parameter identification method based on unscented Kalman filter method

The invention relates to a medium-voltage power distribution network parameter identification method based on an unscented Kalman filter method. The method comprises the following steps: acquiring a node voltage amplitude, injected active power and reactive power of a power distribution network through a measuring device; under the condition that the topology of the power distribution network is known, according to the active power and the reactive power of a measurement node, forward derivation is carried out from a tail node by utilizing a Dijkstra algorithm to obtain the total power of a head node of the power distribution network; performing backward derivation from the head node by using a breadth-first search algorithm to obtain branch power of each branch in the power distribution network; obtaining an approximate parameter identification result by using a voltage loss calculation formula and a linear regression algorithm through the obtained branch power; and finally, establishing a state equation and