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State estimation method based on tensor method

A technology for state estimation and power acquisition, applied in the field of state estimation based on the tensor method, can solve the problem of the large amount of calculation of the Hessian matrix

Inactive Publication Date: 2013-09-04
HOHAI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When there is a greater requirement for the numerical stability of the algorithm, nonlinear state estimation will be considered, but the calculation of the Hessian matrix in nonlinear state estimation is huge

Method used

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  • State estimation method based on tensor method
  • State estimation method based on tensor method
  • State estimation method based on tensor method

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Embodiment Construction

[0030] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0031] Such as figure 1 As shown, the network parameters of the power system are first obtained, including: the branch number of the transmission line, the number of the first-end node and the end node, series resistance, series reactance, shunt susceptance, transformer ratio and leakage reactance.

[0032] Carry out program initialization, including: assign initial values ​​to state quantities and correction quantities, and form node admittance matrix.

[0033] Get the...

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Abstract

The invention discloses a state estimation method based on a tensor method. According to the state estimation method, through calculation of a tensor equation, then a nonlinear correction is obtained. Calculation and storage of a Hessian matrix are avoided. The calculating efficiency of nonlinear state estimating is better improved, and meanwhile, robustness and especially numerical stability of the estimation of the nonlinear state are kept.

Description

technical field [0001] The invention relates to a state estimation method based on a tensor method, and belongs to the technical field of power system operation and control. Background technique [0002] There are two directions for power system state estimation methods, one is the overall algorithm of Gaussian least squares, and the other is the Kalman successive algorithm. In the late 1960s, Xu Huaipi (F.C.Schweppe) proposed a Gaussian basic algorithm for power system state estimation - the weighted least squares algorithm. Since a large number of applications depend on the accurate state information calculated by power system state estimation, the state Estimator (State Estimator, ES) has become one of the important components of Energy Management System (Energy Manage System, EMS). , [0003] The state estimator has been widely used for decades, and a large number of scholars have proposed a large number of replacement and improvement methods for the state estimation m...

Claims

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Application Information

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IPC IPC(8): H02J3/00
Inventor 卫志农厉超周海峰孙国强沈凤杰孙永辉杨莹
Owner HOHAI UNIV
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