Power system comprehensive state estimation method and system

Abstract

The invention provides a power system comprehensive state estimation method and system, and the method comprises the steps: determining a power system state estimation basic model based on the measurement data of a power system; determining a suspicious branch region set in a power system network based on the power system basic model, wherein at least three of the residual errors corresponding to the head end voltage, the tail end current, the branch forward current and the branch reverse current related to the suspicious branch exceed corresponding preset threshold values; relaxing the line parameters of all the suspicious branches to state variables, and determining a comprehensive state estimation model of the power system, wherein the line parameters comprise resistance, reactance and susceptance; and based on the suspicious branch region set, solving the power system comprehensive state estimation model, and determining target power system comprehensive state estimation. Comprehensive estimation of the state value, topology and parameters of the power system can be carried out at the same time, and the effectiveness and real-time performance of state estimation of the power system are improved.

Description

technical field [0001] The present invention relates to the technical field of power systems, in particular to a method and system for estimating the comprehensive state of a power system. Background technique [0002] In order to achieve complete and accurate real-time estimation and perception of the power grid, state estimation algorithms, network topology analysis, and parameter identification are important components of state estimation and state perception. There are also many research and application results, but they are usually regarded as relatively independent For application and research topics, the existing state estimation algorithms for power systems all assume correct topology and correct parameters, and there are also many researches that deal with parameter identification, topology analysis and bad data identification independently. [0003] However, in the process of power system state estimation, the system state of the power grid, model parameters, and n...

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Problems solved by technology

[0002] In order to achieve complete and accurate real-time estimation and perception of the power grid, state estimation algorithms, network topology analysis, and parameter identification are important components of state estimation and state perception. There are also many research and application results, but they are usually regarded as relatively independent Application and research topics, the existing state estimation algorithms of the power system all assume that the topology is correct and the parameters are correct, and there are also many studies that separately deal with parameter identification, topology analysis and bad data identification

[0003] However, in the process of power system state estimation, the system state of the power grid, model parameters, and network topology are interdependent and tightly coupled, and the state estimation may face multiple and different types of errors. These error data may be independent or independent. may be related

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