Computer generating method for short-term load forecasting in summer in power consumer electricity-utilization information acquisition system

A technology for electricity consumption information and power users, which is applied in the field of computer data processing, and can solve problems such as affecting applications, complex models, and low prediction accuracy

Active Publication Date: 2012-06-27
STATE GRID CORP OF CHINA +1
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Short-term load forecasting, especially summer short-term load forecasting, is currently mainly for power system dispatching and planning departments to arrange power purchase plans and formulate operation modes, and adopts the user-based load forecasting met

Method used

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  • Computer generating method for short-term load forecasting in summer in power consumer electricity-utilization information acquisition system
  • Computer generating method for short-term load forecasting in summer in power consumer electricity-utilization information acquisition system
  • Computer generating method for short-term load forecasting in summer in power consumer electricity-utilization information acquisition system

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Embodiment Construction

[0025] Best practice:

[0026] The computer-generated method of short-term load forecasting in summer in the electricity consumption information collection system of power users is based on temperature and historical data modeling in the electricity consumption information collection system, and then considers the influence factors of the recent load on the forecasted load and other disturbance factors. Short-term data is used to predict, so as to achieve the purpose of effective monitoring of electricity consumption data.

[0027] Among them, the specific steps of establishing the prediction model are as follows (see figure 1 ):

[0028] 1) A computer preprocessing module is provided, which preprocesses the summer load and temperature data of the previous year, and the daily load is a record point of 15 minutes or 30 minutes; the calculated average value of the daily load is recorded as (the average load on the i-th day), the maximum temperature on the i-th day is recorded...

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Abstract

The invention relates to a computer data processing method, in particular to a method for restoring computer data of a power consumer electricity-utilization information acquisition system. The main points of the method are that: the method comprises the steps of: (1), pre-processing a history electricity-utilization load and a temperature data, (2), building models related to summer temperature and a power load, wherein m and n are parameters and v is a residual set,(3), calculating coefficients rho related to the summer temperature and the load, (4), considering dependence of the data to be predicted corresponding to numerical values in the last week according to the summer temperature data and relevance of the summer temperature data and the load, and obtaining a final load prediction value. The invention provides a short-term prediction method for electricity-utilization load in summer with high accuracy and strong practicability.

Description

technical field [0001] The invention relates to a computer data processing method, in particular to a computer generation method for summer short-term load forecasting in a power user information collection system. Background technique [0002] In the power system, the electricity consumption information collection system for power users is an important technical platform for implementing orderly power consumption management, and provides important technical support for ensuring that power rationing does not stop in the process of implementing orderly power consumption management. Power load forecasting is a newly developed and important function in the electricity consumption information collection system of power users, which provides an important basis for the formulation and implementation of orderly power consumption schemes. Accurate load forecasting can rationally formulate an orderly power consumption plan, optimize the allocation of power resources in response to th...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 钟小强李建新李学永夏桃芳林华邓伯发段武焕李春生董雨孙广中
Owner STATE GRID CORP OF CHINA
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