Robust state estimation method in electric power system based on exponential type objective function

A technology of robust state estimation and objective function, applied in information technology support systems, calculations, electrical components, etc., can solve problems such as complex calculations, objective functions that are not continuous and differentiable, and few practical applications

Inactive Publication Date: 2009-12-09
TSINGHUA UNIV
View PDF0 Cites 39 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] The biggest problem with the above method is that all objective functions are not continuously differentiable, and the measurement objective function needs to be adjusted in the iterative calculation, which is complicated to calculate and rarely used in practice

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
  • Robust state estimation method in electric power system based on exponential type objective function
  • Robust state estimation method in electric power system based on exponential type objective function
  • Robust state estimation method in electric power system based on exponential type objective function

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The robust state estimation method proposed by the present invention comprises the following steps:

[0045] (1) Establish a state estimation model based on an exponential objective function, the objective function of which is continuously differentiable. The one and two measurement objective function distributions are respectively as figure 1 with figure 2 As shown, when the measurement residual is greater than 2, the objective function is close to 0, so the measurement of bad data basically has no effect on the objective function. And when the measurement residual is small, its objective function is close to 1.

[0046] max J ( X ) = Σ i exp ( - 1 R ii ( z i ...

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 relates to a robust state estimation method in an electric power system based on exponential type objective function, belonging to the field of electric power system dispatching automation. The method comprises the following steps: building a new state estimation mathematical model of the exponential type objective function according to the electric network model of the actual electric network and real-time measuring data; estimating the busbar voltage and phase angle of the electric network, thus calculating the active power and reactive power of the circuit, a transformer, a generator, loads and other devices. The invention can automatically realize that the impact of measurement with big errors on the objective function tends to zero, while the impact of correct measurement on the objective function tends to one. Therefore, the state estimation algorithm proposed in the invention can process in the absence of bad data identification, thus the invention has convenient realization and high computing efficiency; furthermore, if the system is absent of bad data, the estimated performance in the invention is similar to the classical weighted least squares method.

Description

technical field [0001] The invention relates to a power system tolerance state estimation method based on an exponential objective function, and belongs to the technical field of power system scheduling automation and power grid simulation. Background technique [0002] State estimation is the basic function of the energy management system, which estimates the operating state of the power grid by using the actual measurement data and the parameters of the power grid model. The most widely used state estimation method is the weighted least squares method. When the measurement error distribution is a normal distribution without gross error, it can be proved that when the measurement weight of the weighted least squares method state estimation algorithm is the reciprocal of the measurement variance, the weighted least squares method state estimation is a maximum likelihood estimation. However, the least squares method is not resistant to error, that is, when bad data (gross er...

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 Applications(China)
IPC IPC(8): H02J3/00G01R31/08G06Q50/00G06Q50/06
CPCY04S10/50
Inventor 吴文传张伯明孙宏斌郭烨
Owner TSINGHUA 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