Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Power system dynamic state estimation method considering zero-injection constraint

A dynamic state estimation, power system technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve problems such as inaccurate estimation results

Inactive Publication Date: 2015-09-09
STATE GRID ZHEJIANG ELECTRIC POWER +2
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a dynamic state estimation method of power system considering zero injection constraints to overcome the problem of inaccurate estimation results caused by the lack of consideration of zero injection constraints in existing power system dynamic state estimation

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
  • Power system dynamic state estimation method considering zero-injection constraint
  • Power system dynamic state estimation method considering zero-injection constraint
  • Power system dynamic state estimation method considering zero-injection constraint

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The power system dynamic state estimation method considering the zero injection constraint proposed by the present invention is described in detail as follows in conjunction with the accompanying drawings and the implementation method:

[0044] The overall flow of the power system dynamic state estimation method considering the zero injection constraint proposed by the present invention is as follows figure 1 As shown, the present invention solves the power system state estimation model considering the zero-injection constraint based on the Projected Unscented Kalman Filter (PUKF) algorithm, that is, obtains the estimated value of the state quantity satisfying the zero-injection constraint of the power system,

[0045] Specific steps are as follows:

[0046] 1) Input the traditional power system dynamic state estimation model, including the state transition equation and measurement equation of the estimation model:

[0047] The input state transition equation is shown ...

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 present invention, belonging to the technical field of dispatching automation of a power system, discloses a power system dynamic state estimation method considering zero-injection constraint. The power system dynamic state estimation method is characterized by solving a power system dynamic state estimation model considering zero-injection constraint by using projection unscented Kalman filtering-based method. According to the power system dynamic state estimation method, zero-injection constraint conditions of the power system are added into a conventional power system dynamic state estimation, comprising a state transition equation and a measurement equation of the estimation model. State prediction, state filtering and state projection are carried out by using a projection unscented Kalman filtering-based algorithm, and finally a state quantity estimated value which meets the zero-injection constraint of the power system is obtained. According to the power system dynamic state estimation method, the problem of inaccurate estimation results caused by no consideration on the zero-injection constraint in the dynamic state estimation process of a conventional power system can be solved, and the obtained state quantity estimated value further accords with a true value, thereby ensuring effectiveness of subsequent analysis and control.

Description

technical field [0001] The invention belongs to the technical field of power system scheduling automation, and in particular relates to a method for estimating the dynamic state of a power system considering zero-injection constraints. Background technique [0002] Power system state estimation is the process of estimating the state quantities of the power system through the measurement of power system quantities. These state quantities cannot be directly measured, but they are very important for the analysis and control of the power system. Power system state estimation has always been an important but complex problem in power system research. Existing research has made a lot of simplifications to the model of this problem. These simplifications reduce the complexity of state estimation but correspondingly lead to a decrease in accuracy, which is not conducive to the application of state quantities. One of the outstanding problems is that the estimation result does not sa...

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): G06F19/00
Inventor 胡伟闵勇徐飞陈磊
Owner STATE GRID ZHEJIANG ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products