微电网配电网恢复中并网点暂态电压预测

Yuze Ji, Dahai Zhang, Chuanjian Wu, Hao Sun
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引用次数: 0

摘要

当微网为配电网的恢复供电时,电压的稳定性将影响到微网的整合。传统的电压验证方法只适用于大容量供电系统,而忽略了系统内部参数的波动。本文研究了微网在停电状态下接入配电网时电压的暂态特性,并提出了一种有效的预测方法。该方法采用基于完全微分方程的Thevenin等效参数跟踪算法求解微电网的等效电路参数,并以微电网的Thevenin等效参数作为主要输入特征变量,建立基于BP神经网络的电压预测模型。最后,通过一个典型的低压微电网实例验证了该电压预测方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transient Voltage Prediction for the Grid-connected Point in Restoration of Distribution Network with Microgrid
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.
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