Robust estimation state estimating method based on maximum index absolute value target function

Abstract

The invention provides a robust estimation state estimating method based on a maximum index absolute value target function. The robust estimation state estimating method comprises the steps of: providing a robust state estimation basic model based on the maximum index absolute value target function; introducing an auxiliary variable into the robust state estimation basic model based on the maximum index absolute value target function to obtain a robust state estimation equivalent model based on the maximum index absolute value target function; and by using a primal-dual interior point algorithm, solving the robust state estimation equivalent model based on the maximum index absolute value target function. Proved through example analysis, the robust estimation state estimating method has the advantages of strong robustness and high computing efficiency, and better engineering application prospect.

Description

technical field [0001] The invention belongs to the field of electric power system scheduling automation, and in particular relates to a method for estimating a robust state based on an objective function of the maximum exponent absolute value. Background technique [0002] Power system state estimation is the foundation and core of energy management systems. Now almost every large dispatch center has installed a state estimator, and state estimation has become the cornerstone of the safe operation of the power grid. Since state estimation was first proposed by foreign scholars in 1970, people have studied and applied state estimation for more than 40 years, and various state estimation methods have emerged during this period. [0003] At present, the most widely used state estimation at home and abroad is the weighted least squares (WLS) method. The WLS model is simple and easy to solve, but its robustness is poor. In order to enhance the tolerance, there are generally t...

AI Technical Summary

Problems solved by technology

However, these robust state estimation methods generally have the characteristics of insufficient computational efficiency, which affects their application in practical systems to a certain extent.

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