Situation Forecasting Method for Distribution Network Based on Phasor Measurement Unit

摘要

With the development and application of Phasor Measurement Unit (PMU), it is possible to quickly obtain the real-time operation state and safety situation of the distribution network by using high-precision real-time measurement information. This paper proposes a PMU-based distribution network situation prediction method. Firstly, the minimum network layering model of the distribution network after PMU optimization is constructed. Secondly, the real-time operation state of the distribution network will be calculated by forward-backward sweep algorithm. Finally, the dynamic neural network(DNN) algorithm is used to predict the situation of the distribution network. The effectiveness of the algorithm was verified using IEEE33 nodes. The simulation results show that the method not only improves the speed and accuracy of real-time operation calculation of distribution network, but also further obtains the trend change of distribution network operation.