Method for identifying operation topology of distribution network based on multi-source data fusion

Abstract

The invention discloses a method for identifying the operation topology of a distribution network based on multi-source data fusion, which comprises the steps of installing a DSCADA measurement devicein the distribution network, and installing a [mu]PMU measurement device at nodes at two ends of a tie switch and multi-branch nodes with the degree being greater than 2; measuring the voltage phaseof the installation nodes by the [mu]PMU, and constructing a topology change time identification model so as to determine the topology change time; constructing a topology change trend criterion basedon voltage changes of the nodes before and after the topology change so as to determine the branch range in which the operation state changes, and enumerating all possible topology cases after the reconstruction; and integrating DSACAD and [mu]PMU remote measurement data, constructing a distribution network state estimation model, and carrying out state estimation on all possible topologies; andconstructing a topology similarity identification model to identify the actual topology, thereby improving the reliability of distribution network topology identification. The method has good applicability in the cases of single tie switch operation and multiple tie switch operation.

Description

technical field [0001] The invention belongs to the technical field of power grid operation topology, and in particular relates to a distribution network operation topology identification method based on multi-source data fusion. Background technique [0002] With the acceleration of smart grid construction, the structure of the distribution network system is becoming more and more complex, and the operating topology changes more frequently. The distribution network collects remote signaling data in real time, grasps the network topology changes in time, and updates the operation topology. However, the remote signaling data of the distribution network DSCADA often has misreporting and non-reporting situations during the collection, and the data source is relatively single, and the correctness of the generated network topology has great uncertainty. Not very reliable. Most domestic researches on power grid topology identification focus on the analysis of the main grid, and ...

AI Technical Summary

Problems solved by technology

However, the remote signaling data of the distribution network DSCADA often has misreporting and non-reporting situations during the collection, and the data source is relatively single, and the correctness of the generated network topology has great uncertainty. low reliability

Most of the domestic power grid topology identification researches focus on the analysis of the main grid, and there are few researches on the distribution network topology identification with complex structure.

However, the topology identification of the distribution network in foreign countries is based on the new μPMU measurement device, which does not combine the domestic distribution automation installation situation. At present, there is no topology identification research method suitable for the domestic distribution network with DSCADA installed.

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