An Online Fault Location Method for DC Distribution Networks Using Adaptive Kalman Filter

Accurate and timely fault location is a crucial technique in the DC distribution network for system stability and power restoration. In this paper, a double-ended fault location method based on parameter estimation using an adaptive Kalman filter is proposed. First, a DC line model considering both line-to-ground and line-to-line faults is established, from which the mathematical relation between line voltage, current and reactor voltage is derived. Then a fault location method based on adaptive Kalman filter algorithm is introduced to estimate the fault parameter. At last the effectiveness of the proposed method is verified in different fault scenarios in a multi-terminal DC distribution network with MATLAB/Simulink.