Power distribution network switch state identification method based on probability graph model

Abstract

The invention provides a power distribution network switch state identification method based on a probability graph model, and the method comprises the steps: enabling a plurality of interconnected power distribution transformers to be equivalent to a load group, and obtaining a simplified circuit diagram of a physical model of a power distribution network; analyzing the dependency relationship between the voltage correlation between the load groups and the switch state in the power distribution network, and constructing a probability graph model taking the voltage correlation and the switch state as nodes; calculating the initial probability distribution of each node and the conditional probability distribution between the nodes based on the historical operation data of the power distribution network, and completing the learning of the probability graph model; analyzing influence propagation among the nodes in the probability graph model, and determining necessary observation variables, so that the states of the rest nodes in the network can be deduced through effective traces; under the condition that necessary observation variables can be observed, the switch state of the wholepower distribution network is obtained through a confidence coefficient propagation algorithm. According to the method, the operation state of the whole power distribution network can be deduced by utilizing an artificial intelligence algorithm under the condition that part of power distribution transformer data is difficult to obtain.

Description

technical field [0001] The invention belongs to the field of lean distribution network management, and in particular relates to a method for identifying the state of a distribution network switch. Background technique [0002] The distribution network has a wide range of points and flexible operating states. Operations such as power transfer and troubleshooting are often completed by switching the state of the tie switch or the section switch. There are indeed few records of the on-off of the distribution network switch, which makes it difficult to obtain the operating state topology of the distribution network. Accurate identification of distribution network topology in operating state is the basis for feeder load forecasting, voltage quality analysis, fault location and other upper-level services. The absence of operating state topology will bring many difficulties to the construction of "three types and two networks". Moreover, due to the large number of users on the low...

AI Technical Summary

Problems solved by technology

In the case that part of the distribution transformer data is difficult to obtain, how to infer the switching status of the distribution network based on the partially observable distribution network has become the bottleneck of the lean management of the smart grid

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