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A flexible load adjustable interval prediction method and device

A technology of flexible load and forecasting method, which is applied to load forecasting, circuit devices, and AC network circuits in AC networks, and can solve problems such as the lack of research on big data and the limited utilization of power big data.

Active Publication Date: 2021-06-15
武汉龙德控制科技有限公司
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

At present, my country's utilization of electric power big data is limited. Most of the application scenarios of electric power big data are to predict the occurrence of faults and provide guidance strategies in marketing, while there are few studies on big data in response to user demand.

Method used

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  • A flexible load adjustable interval prediction method and device
  • A flexible load adjustable interval prediction method and device
  • A flexible load adjustable interval prediction method and device

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Experimental program
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Embodiment

[0037] A flexible load adjustable interval prediction method, comprising the following steps:

[0038] Step 1. Identify the start-stop state of the flexible load. Among the residential loads, the main component of the flexible load is the air conditioner. Therefore, the air conditioner is used as a typical flexible load representative to identify the start-stop state of the air-conditioning load in the home. The specific operation method is as follows:

[0039] Step 1.1, install the measuring device at the entrance. The measuring device can collect the total power, total voltage, total current and other electrical quantities at the household end, such as figure 2shown. The present invention utilizes a database provided by UCI (University of California Irvine), which provides electricity consumption information of a French family from 2006 to 2010. There are four smart meters installed in this family. The No. 1 and No. 2 meters respectively record the electricity consumption...

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Abstract

The present invention involves a flexible load adjustable interval prediction method and device. This method is based on the analysis of non -invasive load decomposition technology and user energy behavior analysis.Using non -electricity information to predict the adjustable interval of flexible load in the statistically sense, and then consider the actual situation of the flexible load only when it is turned on.Combined with the adjustable interval in the statistical sense, the flexible load adjustable interval with practical significance can be predicted.It has the following advantages: 1. Flexible load prediction interval update speed is fast, which can help the dispatching department to achieve minutes of control; 2. The monitoring of flexible load does not require additional installation and detection equipment.Material and financial resources; 3. Fast operation speed and can realize online applications.

Description

technical field [0001] The invention relates to a flexible load adjustable interval prediction method and device. The method is proposed based on non-invasive load decomposition technology and user energy consumption behavior analysis. Background technique [0002] The large-scale access of new energy and the comprehensive development of electric power informatization have provided new ideas and challenges for the development of the electric power industry. At present, the large-scale access of new energy to the power grid will bring many problems, such as power fluctuations and affecting the stability of the power grid. Taking wind power as an example, in 2013 Jilin and Gansu had a wind curtailment rate as high as 20%. Wind power grid integration and consumption has always been a worldwide problem restricting the development of wind power. In my country, the problem of wind power grid integration and consumption is particularly prominent. Real-time optimal scheduling on th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J3/003H02J2203/20
Inventor 柯德平张震张喆刘博徐箭廖思阳孙元章
Owner 武汉龙德控制科技有限公司
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