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

Whole-network load prediction method based on local load predicted value comprehensive evaluation

A technology for load forecasting and comprehensive evaluation, applied in instruments, data processing applications, computing, etc., can solve problems such as different forecasting difficulties and unsatisfactory effects of load forecasting of the whole network system.

Active Publication Date: 2014-03-05
STATE GRID CORP OF CHINA +1
View PDF3 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Since this method needs to predict each regional subnetwork, and for short-term load forecasting, due to the different load stability in each region, the difficulty of forecasting is very different. At the same time, the plant power consumption and network loss data also need to be predicted, so , when using the forecasted load of all areas for subnet accumulation, the accuracy of the system load forecast of the whole network may not be ideal

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
  • Whole-network load prediction method based on local load predicted value comprehensive evaluation
  • Whole-network load prediction method based on local load predicted value comprehensive evaluation
  • Whole-network load prediction method based on local load predicted value comprehensive evaluation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0083] see figure 2 , in this embodiment, the load forecasting method of the whole network based on the comprehensive evaluation of regional load forecasting value is carried out according to the following steps:

[0084] (1) Obtain the historical data within a recent sample period as the historical data sample space, and the historical data is the actual load and predicted load of the entire network and N regions within the entire network;

[0085] (2), calculate the average proportional coefficient of each region in the sample space of the historical data at time t Use the exponential smoothing method to dynamically predict the scale coefficient of each area at the same time point t on the day to be predicted, and obtain the scale coefficient matrix C of the N areas at the time point t t , then there are:

[0086] C t ‾ = ( C ...

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 whole-network load prediction method based on local load predicted value comprehensive evaluation. The whole-network load prediction method is characterized in that historical data in a recent sample period are obtained and used as a historical data sample space, then the average proportionality coefficient of each region at a time point t in the historical data sample space is calculated, the proportionality coefficient of each region at the same time point t on a to-be-predicted day is predicted, a multi-index evaluation system of the time point t is built, a comprehensive evaluation index of the time point t is built according to the multi-index evaluation system, q regions with higher priorities at the time point t are selected by means of the comprehensive evaluation index, the selected q regions are used for predicting whole-network system loads at the time point t respectively, the optimal comprehensive models of q different predicted values at the time point t are built, final predicted results of the whole-network system loads are obtained by conducting solving, the optimal comprehensive models are built for whole-day T time points of the to-be-predicted day respectively, and a whole-day load prediction sequence is obtained. The whole-network load prediction method can improve the accuracy of short-term load prediction of a power system.

Description

technical field [0001] The invention relates to a large power grid load forecasting method based on comprehensive evaluation of regional load forecast values, which is used for short-term load forecasting of power systems and belongs to the technical field of power system load forecasting. Background technique [0002] In order to ensure the dynamic balance between power generation power and load power in the power system, it is necessary to make a scientific forecast of the power system load. Load forecasting is an important task of dispatching centers and power grid development planning departments. The results of load forecasting have important guiding value for power grid operation, control, dispatch, planning, construction, etc. It is the basis for scientific development and scientific dispatch of power grids. [0003] Improving the level of load forecasting technology is conducive to planning power consumption management, rationally arranging power grid operation mode ...

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): G06Q50/06
Inventor 谢毓广郭力罗亚桥郑国强桂国亮高博戴申华
Owner STATE GRID CORP OF CHINA
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