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

A Pseudo-Measurement Generation Method for Distribution Network State Estimation

A pseudo-measurement and network status technology, which is applied in the field of power system dispatch automation and power grid simulation, and can solve problems such as low accuracy and poor real-time performance.

Active Publication Date: 2016-08-17
FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID +1
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The common feature of these data is poor real-time
Using these data to obtain pseudo load measurement, the accuracy is not high

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
  • A Pseudo-Measurement Generation Method for Distribution Network State Estimation
  • A Pseudo-Measurement Generation Method for Distribution Network State Estimation
  • A Pseudo-Measurement Generation Method for Distribution Network State Estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The pseudo-measurement generation method for distribution network state estimation proposed by the present invention, its flow chart is as follows figure 1 shown, including the following steps:

[0055] (1) Select the load that needs to be predicted in the distribution network, and obtain the historical load data of n days before the forecast date from the distribution network metering system, and record the load data of each day in the historical load data as the historical daily load data, and put n days are divided into working days (Monday to Friday) and holidays (weekends and holidays); (the historical load data is about one month before the forecast date, and the sampling interval of historical load data is 15 minutes. If the forecast date is a holiday, Then obtain the historical load data of the load corresponding to the holiday and the historical load data of 1-2 days before the forecast date, and at the same time obtain the load data every 15 minutes on the for...

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 pseudo-measurement generation method applied to estimating the condition of a distribution network and belongs to the technical field of electric power system dispatching automation and power network simulation. Firstly, load data collected by a power metering system are taken as a load to be measured; ultra-short term load forecasting is performed by utilizing a holt-winter model; initial data and a predominant value in the distribution network are subjected to cubic spline interpolation to obtain a pseudo-measurement to make up the deficiency of a measurement device of the distribution network. The pseudo-measurement generation method provided by the invention fully utilizes the load data in the metering system of the distribution network, is simple to implement, high in computing speed and accurate in result, and can enable the accuracy of pseudo-measurement load at a non-measurement point to reach or approach the actual measurement value, thereby improving the accuracy in estimating the condition of the distribution network.

Description

technical field [0001] The invention relates to a pseudo-measurement generating method for distribution network state estimation, which uses a holt-winter model ultra-short-term load forecasting method and a cubic spline interpolation function method to obtain pseudo-measurement, and belongs to power system scheduling automation and power grid simulation technology field. Background technique [0002] Distribution network state estimation is one of the most basic and important functions of the distribution network management system. Due to the extremely limited configuration of distribution network measurement devices, it is difficult to perform state estimation only by real-time measurement, and pseudo-measurement is usually required. It is very important to generate pseudo measurements based on user-side data information, including bill information, power outage information, and energy meter data, to ensure the observability of the distribution network. Currently, there a...

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): G06F19/00
Inventor 吴文传张伯明张哲军孙宏斌王永才郭庆来吴越强
Owner FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID
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