Remote sensing error identification method and device

Abstract

The invention relates to a remote sensing error identification method and device. The method comprises the steps of obtaining suspicious measurement data sets of a current running section and a previous history section, analyzing bus power balance qualified rate change conditions of two suspicious measurement data sets, selecting sub-sets with the greatest bus power balance qualified rate changes separately, carrying out power flow comparison on included branches and obtaining power flow transfer variations of the branches; evaluating the branch with the greatest variation by fully utilizing the sensitivity of transferred power flow on a topological change and the rejection capability of weighted least absolute value state estimation on bad data according to predefined power flow analysis indexes; carrying out remote sensing error identification according to the evaluation result to improve the identification ability; and finally outputting a remote sensing error identification result. The problem of remote sensing error identification in power system analysis is solved; and the remote sensing error identification method and device can face the condition of a relatively small difference between current section power flow and ground state section power flow and is suitable for single bad remote sensing and multiple poor remote sensing error identification.

Description

technical field [0001] The invention belongs to the field of power system automation, and in particular relates to a remote measurement error identification method and device. Background technique [0002] With the rapid development of my country's economy, my country's UHV AC and DC transmission projects have been continuously put into production, and the requirements for the accuracy of online analysis and calculation results of power systems are also increasing. State estimation software is the basic module of power system analysis software, and the basis of state estimation calculation is to establish the correct identification of system telemetry state. When the remote measurement of the equipment does not match the actual measurement, there will be a telemetry error, which will affect the accuracy of the analysis and calculation results of the power grid. The entry of key telemetry data into the basic data section will also seriously affect the performance of state es...

AI Technical Summary

Problems solved by technology

When the telemetry of the equipment does not match the actual measurement, there will be a telemetry error, which will affect the accuracy of the power grid analysis and calculation results

The entry of key telemetry data into the basic data section will also seriously affect the performance of state estimation, greatly reducing the accuracy of estimation results, and even the iteration does not converge.

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