Abstract
In this paper, a distribution network topology identification algorithm based on mutual information Bayesian network is proposed. In this algorithm, the Bayesian model is mainly used to fit the nonlinear relationship among various variables such as photovoltaic, load, measured voltage, and distribution network topology. Then, the mutual information network is used to effectively divide the measurement continuous stage intervals of variables, thus improving the identification and analysis accuracy of the distribution network topology by Bayesian network, and solving the problems existing in traditional Bayesian network applications, such as difficult continuous data processing, poor adaptability of many continuous deformations, etc.
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