Method for solving state estimation problem taking maximum normal rate of measurement point as target

A technology of state estimation and normal rate, which is applied in the field of solving the state estimation problem with the goal of maximizing the normal rate of measuring points, can solve the problem that the global optimal solution cannot be obtained, the online application of large-scale power systems cannot be satisfied, and the normality of measuring points cannot be obtained. rate estimation results, etc.

Inactive Publication Date: 2013-11-20
TSINGHUA UNIV +1
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Problems solved by technology

To solve this problem directly, on the one hand, the global optimal solution cannot be obtained, that is, the estimated result of the maximum normal rate of the measuring point cannot be obtained, but only the approximat

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  • Method for solving state estimation problem taking maximum normal rate of measurement point as target
  • Method for solving state estimation problem taking maximum normal rate of measurement point as target
  • Method for solving state estimation problem taking maximum normal rate of measurement point as target

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Embodiment Construction

[0040] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0041] The invention aims at proposing a method for solving the state estimation problem aiming at the maximum normal rate of measuring points. This method can obtain a higher and more accurate estimation result of the normal rate of the measuring point, effectively improve the tolerance and accuracy of the estimation result, and the increased calculation amount can meet the application requirements. like figure 1 As shown, the method includes the following steps:

[0042] Step (1) approximate optimization

[0043] Step (1.1) ...

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Abstract

The invention discloses a method for solving a state estimation problem taking a maximum normal rate of a measurement point as a target. The method comprises the following steps of performing approximate optimization, namely serializing an evaluation function of the normal rate of the measurement point to build a non-linear continuous variable optimization model of the problem and perform solving, thus obtaining an approximately optimal estimation state of the measurement point normal rate; checking the compatibility of an abnormal measurement point, namely analyzing an uncertainty region of the current abnormal measurement point according to a system state corresponding to the approximately optimal result, judging whether a state that enables the abnormal measurement point to be compatible with the current normal measurement point exists, if the state exists, determining that the measurement point is a normal measurement point in the state and the normal rate of the measurement point corresponding to the state is higher, repeating the execution to obtain a system state with higher normal rate of the measurement point; and performing filtration on the normal measurement point, namely performing least square estimation on the system state under the condition that an existing normal measurement point set is not changed. The method has the advantages of high tolerance resistance performance, high precision and small calculation gain.

Description

technical field [0001] The invention belongs to the field of power system analysis and control, and in particular relates to a method for solving a state estimation problem whose goal is to maximize the normal rate of measuring points. Background technique [0002] Power system state estimation provides real-time and credible state information for power system analysis and control, and is an important part of energy management systems. At present, the most widely used state estimation method is weighted least squares (WLS) estimation, which has the disadvantage of poor robustness, and the estimation results are easily affected by bad measurement points. To solve this problem, many scholars have proposed a series of robust estimation methods, such as weighted least absolute value (WLAV) estimation, quadratic linear (QL) estimation, quadratic constant (QC) estimation, etc. These methods all start from the concept of residuals and have certain limitations. [0003] In recent ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 常乃超何光宇王彬
Owner TSINGHUA UNIV
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