Automatic differentiation based power system state estimation method

An automatic differential and power system technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as ignoring the nonlinearity of the model

Inactive Publication Date: 2011-09-14
HOHAI UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In state estimation, the measurement function is a nonlinear vector function of the state vector. In the past, the nonlinear function Taylor series was expanded and taken to a linear model, which ignored the nonlinear degree of the model.

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
  • Automatic differentiation based power system state estimation method
  • Automatic differentiation based power system state estimation method
  • Automatic differentiation based power system state estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0097] The present invention adopts the standard calculation examples of IEEE-14 nodes, IEEE-30 nodes, and IEEE-57 nodes shown in Figure 3, applies AD technology to linear state estimation, and performs a comparison with the linear state estimation method of manually writing differential codes For comparison, the simulation results are shown in the table below:

[0098] Table 1 Simulation results of AD technology applied in linear state estimation

[0099]

[0100] in, J = Σ i = 1 m [ z i - h i ( x ^ ) σ i ...

Embodiment 2

[0103] In nonlinear state estimation, the complexity of calculating Jacobian matrix and Hessian matrix is ​​obviously increased by manually writing differential codes. The present invention adopts the standard calculation examples of IEEE-14 nodes, IEEE-30 nodes, and IEEE-57 nodes shown in Figure 3, and applies AD technology to nonlinear state estimation. The simulation results are shown in the following table:

[0104] Table 2 Simulation results of AD technology applied in nonlinear state estimation

[0105]

[0106] The method of the present invention has the following advantages. On the one hand, as can be seen from the simulation results shown in Table 1, in the linear state estimation, compared with the manual method, the calculation speed of the method using AD technology is obviously accelerated, and the truncation error is avoided. The calculation accuracy has also been improved, and the estimation results are more in line with the actual state of the power system; ...

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 an automatic differentiation (AD) based power system state estimation method, which is characterized by applying the AD technology to linear state estimation and nonlinear state estimation respectively; first allocating memory for AD and declaring active variables; then storing the positions and numerical values of the invariant elements in the Jacobian matrix and the Hessian matrix into a linked list before iteration; and then starting iteration, using an AD tool to compute the variant elements in the Jacobian matrix and the Hessian matrix and simultaneously reading the invariant elements in the corresponding matrices to obtain the Jacobian matrix and the Hessian matrix required by state estimation. Thanks to using AD to compute the Jacobian matrix and the Hessianmatrix instead of the traditional differential codes written manually, the method effectively avoids the truncation errors, improves the computation efficiency and is convenient to realize on the existing state estimation software.

Description

technical field [0001] The invention relates to an automatic differential-based power system state estimation method, which belongs to the technical field of power system operation and control. Background technique [0002] Energy management system (energy management system, EMS) is a computer-based modern power dispatching automation system, the most fundamental change it brings is from traditional empirical dispatching to analytical dispatching, thus improving the safety of power system operation sex and economy. With the continuous expansion of the grid scale, the structure and operation mode of the power system are becoming more and more complex, and the automation level of the power system dispatching center also needs to gradually develop from low-level to high-level, so EMS has been widely used. State estimation software is the core software of EMS. It provides a reliable and complete power system real-time database for other advanced application software, and is kno...

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
Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00G06F17/10
Inventor 孙国强卫志农叶芳
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