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.
CN103400201AInactive Publication Date: 2013-11-20TSINGHUA UNIV +1
2 Cites 8 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
TSINGHUA UNIV
Publication Date
2013-11-20
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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 ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More