Multi-clock source time synchronization realizes high-precision time synchronization and guarantees the stable operation of distribution power system by integrating time synchronization information from multi-clock sources. However

multi-clock source time synchronization still faces challenges such as the difficulty of optimizing clock source weight and the decrease of time synchronization accuracy caused by random factors. To address the above challenges

firstly

we construct a multi-clock source time synchronization error model to minimize the relative time synchronization error. Secondly

we propose an multi-clock source time synchronization method for distribution power system based on improved Kalman filter. This method calculates the weights of multi-clock source using dynamic scoring analytic hierarchy process to optimize the weighted sum of time synchronization errors. Furthermore

it reduces the relative time synchronization error by minimizing the impact of the measurement noise and the process noise through improved Kalman filter. Finally

we verify the effectiveness of the proposed algorithm through simulation. The simulation results show that the proposed algorithm can effectively reduce the relative time synchronization error and realize the high-precision time synchronization for distribution power system.