Method for estimating dynamic state of generator based on adaptive H infinite cubature Kalman filter

A Kalman filter, generator dynamic technology, applied in the direction of single-grid parallel feeding arrangement, etc.

Pending Publication Date: 2019-08-09
HOHAI UNIV
View PDF6 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention designs a method based on adaptive H ∞

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for estimating dynamic state of generator based on adaptive H infinite cubature Kalman filter
  • Method for estimating dynamic state of generator based on adaptive H infinite cubature Kalman filter
  • Method for estimating dynamic state of generator based on adaptive H infinite cubature Kalman filter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0095] (a) Model building

[0096] According to the fourth-order dynamic equation of the generator, the state estimation equation of the generator is constructed as follows:

[0097]

[0098] In the formula: δ represents generator power angle, rad; ω and ω 0 Respectively, electrical angular velocity and synchronous rotational speed, pu; e' q and e' d respectively represent the transient electromotive force of the generator q-axis and d-axis; H represents the inertia constant of the generator, T m and T e represent the mechanical power and electromagnetic power of the generator, respectively, where T e =P e / ω;K D Indicates the damping factor, E fd is the stator excitation voltage; T’ d0 and T' q0 Indicates the open-circuit time constant of the generator in the d-q coordinate system; x d and x' d Respectively represent the d-axis synchronous reactance and transient reactance of the generator, x q and x' q are the generator q-axis synchronous reactance and transi...

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

PUM

No PUM Login to view more

Abstract

The invention discloses a method for estimating the dynamic state of a generator based on an adaptive H infinite cubature Kalman filter, and the method is used for enhancing the robustness of a dynamic state estimator under the condition of model parameter uncertainty, and the accurate estimation of the state of a power system generator is realized. According to the method, based on the H infinitecubature Kalman filter (HCKF), an adaptive H infinite cubature Kalman filter dynamic estimation method is established by introducing an adaptive method, the method can define the influence of systemmodel parameter uncertainty on a state estimation result and avoids the problem that a HCKF method has uncertain upper bound parameters and the selection is difficult. According to the method of the invention, the state estimation precision can be effectively improved, the robustness of a state estimator is enhanced, the realization process is clear, and the method has a high engineering application value.

Description

technical field [0001] The invention relates to an adaptive H ∞ The invention discloses a generator dynamic state estimation method based on a volumetric Kalman filter, which belongs to the field of electric power monitoring and control. Background technique [0002] In recent years, the synchrophasor measurement unit (PMU) of the wide area measurement system (WAMS) has been widely used. The PMU can provide high-frequency system information sampling values ​​with time scales, which can be applied to the process analysis and analysis of electromechanical transients in power systems. control. However, as a measurement system, WAMS will inevitably be affected by random interference and other factors during the measurement process, resulting in the pollution of measurement data. Therefore, the measurement information obtained by the PMU cannot be directly used for the electromechanical transient analysis of the power system. Dynamic state estimation can not only effectively f...

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

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H02J3/38
CPCH02J3/38H02J2203/20
Inventor 孙永辉王义胡银龙侯栋宸王森翟苏巍熊俊杰曹阳
Owner HOHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap