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User participation degree prediction method for interruptible load project

A prediction method and user technology, applied in the field of power system and its automation technology, can solve the problems of uncertainty of user participation in interruptible load projects, etc.

Inactive Publication Date: 2016-10-26
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

The traditional research on interruptible load projects often does not involve the participation of power users. However, during the implementation of interruptible load projects, due to different users' acceptance of economic subsidies, rules and regulations, and publicity and guidance, users have different opinions on Participation in interruptible load projects is often subject to greater uncertainty

Method used

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  • User participation degree prediction method for interruptible load project
  • User participation degree prediction method for interruptible load project
  • User participation degree prediction method for interruptible load project

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Embodiment Construction

[0058] The present invention will be further described below in conjunction with the accompanying drawings.

[0059] like figure 1 Shown is a method for predicting user participation in an interruptible load project, and the entire implementation process will be described in detail below.

[0060] Step 1: Based on the integrated information technology acceptance and use model, analyze the influencing factors of user participation in the interruptible load project, and establish a user participation model for the interruptible load project.

[0061] The influencing factors of user participation include expected utility PE, effort expectation EE and social impact SI. The established user participation model is expressed as:

[0062] B=f(PE,EE,SI) (1)

[0063] Among them: Expected utility PE represents the degree of profit (saving electricity or some other favorable outcome) expected by users participating in the interruptible load project, effort expectation EE represents the ...

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Abstract

The invention discloses a user participation degree prediction method for an interruptible load project. The user participation degree prediction method comprises the steps of: (1) analyzing user participation degree influencing factors in the interruptible load project based on a unified theory of acceptance and use of technology model, and establishing a user participation model of the interruptible load project; (2) carrying out quantification processing on the user participation degree influencing factors; (3) and establishing a user participation degree prediction model based on a support vector machine. The user participation degree prediction method provided by the invention establishes the user participation model of the interruptible load project, carries out quantification processing on influencing factors of the user participation model based on the user participation degree influencing factors of the interruptible load project, adopts the support vector machine for predicting user participation degrees, and provides a basis for efficient implementation of the interruptible load project.

Description

technical field [0001] The invention relates to a method for predicting user participation of an interruptible load project, belonging to a power system and its automation technology. Background technique [0002] In recent years, electricity consumption has maintained rapid growth, the peak-to-valley difference in electricity consumption has increased, and seasonal power shortages have occurred from time to time. Demand response technology provides many flexible solutions to solve this problem. The relatively low-cost demand response technology can be used to achieve load reduction from the perspective of the user side to ensure a balance between supply and demand. [0003] As an important method of demand response, interruptible loads can effectively alleviate the contradiction between power supply and demand during peak periods of power consumption, which has strong practical and long-term significance. Traditional research on interruptible load projects often does not i...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 高赐威孙玲玲
Owner SOUTHEAST UNIV
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