Transient Voltage Prediction for the Grid-connected Point in Restoration of Distribution Network with Microgrid

Abstract

When the microgrid provides power for the restoration of the distribution network, the stability of the voltage will affect the integration of the microgrid. The traditional voltage verification method is only suitable for large-capacity power supply systems, and ignores the fluctuation of the internal parameters of the system. This paper studies the transient characteristics of voltage when the microgrid is connected to the distribution network in an outage state, and proposes an effective prediction method. This method uses a tracing algorithm for Thevenin Equivalent Parameters based on complete differential equation to solve the equivalent circuit parameters of the microgrid, and uses the Thevenin equivalent parameters of the microgrid as the main input characteristic variables, and establishes a voltage prediction model based on the BP neural network. Finally, a typical low-voltage microgrid example is used to verify the effectiveness of the voltage prediction method.