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A method for predicting daily load characteristics of electric power

A technology of characteristic indicators and prediction methods, applied in the direction of load prediction, electrical components, circuit devices, etc. in the AC network, can solve the problem that the prediction accuracy and reliability are difficult to meet the needs of power market analysis, and improve the operation economy and efficiency. Reliability, improve science, reduce idle effect

Active Publication Date: 2017-12-15
CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the prediction accuracy and reliability of the existing power system load characteristic prediction method cannot meet the needs of power market analysis, and to provide a method for predicting the daily load characteristic index of electric power

Method used

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Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment 1

[0027] The method for predicting electric power daily load characteristic indicators involved in this embodiment is characterized in that: select or set some industries as typical industries, select or set some residential users as typical users; collect the typical industries and The typical user's electricity load data, by summarizing and sorting out the daily load characteristic indicators of typical industries and typical users, and drawing the daily load curve; According to the daily load curve, the change trend of electricity consumption of typical industries and residents is obtained, and the predicted value of daily load rate and daily minimum load rate is obtained.

[0028] In this example:

[0029] Further, the method for predicting the daily load characteristic index of electric power is characterized in that it includes the following steps:

[0030] 1) Establish a database module to collect data and information on electricity loads in various regions, including va...

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Abstract

The invention relates to a power daily load characteristic indicator prediction method. The method includes: selecting or setting certain industries as typical industries, and selecting or setting certain residential users as typical users; regularly or irregularly collecting power consumption load data of the typical industries and the typical users for a plurality of times, acquiring power consumption daily load characteristic indicators of the typical industries and the typical users of each time by induction and reorganization, and drawing a daily load curve; building a prediction model of departmental load characteristic indicators and whole-system load characteristic indicators, acquiring changing tendency of household power consumption of the typical industries and the residential users according to the daily load curve to acquire predication values of daily load rate and minimum daily load rate. By the power daily load characteristic indicator prediction method, load characteristic changing rule and tendency can be accurately known, scientificity and accuracy in power market analysis prediction are improved, and strength in supporting work like power grid programming, planning and production running.

Description

technical field [0001] The invention relates to a method for predicting electric daily load characteristic indexes, which is applicable to the prediction of electric daily load characteristic indexes in the planning, planning, production and operation of Zhuhai Power Grid, and can be used in many fields such as urban power grid planning and design, power grid operation, market operation decision-making, etc. Provide information and evidence. It belongs to the field of power system design. Background technique [0002] The research on the load characteristics of the power system is an important basis for the planning, planning, production and operation of the power grid. The characteristics of the power load have complex relationships with the adjustment of the regional industrial structure, the transformation of the economic growth mode, and factors such as energy conservation and emission reduction, and climate temperature. By analyzing the influence of these factors on th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J3/003
Inventor 钟杰峰郭知非袁康龙何向刚
Owner CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD