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

A Load Interval Forecasting Method Considering Intelligent Power Consumption Behavior

A technology for intelligent electricity consumption and load forecasting, which is applied in the direction of load forecasting, electrical components, and circuit devices in AC networks. Accurate results

Active Publication Date: 2018-12-21
STATE GRID JIANGSU ECONOMIC RES INST +3
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: In order to solve the problem that the power load forecasting method in the prior art cannot reflect the user's power consumption behavior, provide a load interval forecasting method that considers intelligent power consumption behavior, and consider the load forecasting of a variety of intelligent power consumption equipment connected to the grid, Can more realistically reflect the power load situation

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
  • A Load Interval Forecasting Method Considering Intelligent Power Consumption Behavior
  • A Load Interval Forecasting Method Considering Intelligent Power Consumption Behavior
  • A Load Interval Forecasting Method Considering Intelligent Power Consumption Behavior

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The present invention will be further described in detail below in conjunction with the examples, which are not intended to limit the present invention.

[0016] In the present embodiment, the data of 1990-2002 provided by a certain provincial electric power company is an example, as shown in table 1, with the data of 1990 to 2000 as a sample, utilize the method of the present invention to the province in 2001 and 2002 The electricity consumption is predicted, and the prediction result is compared with the actual value to verify the accuracy of the method of the present invention.

[0017] Table 1 Annual sample data of a province

[0018]

[0019]

[0020] In this embodiment, the province is used as the prediction area, such as figure 1 As shown, the corresponding load interval forecasting method considering intelligent power consumption behavior includes the following steps:

[0021] Step 1: Calculate the electricity consumption of various types of smart electr...

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 load interval prediction method considering intelligent power consumption behavior, using the start time and end use time of intelligent power consumption equipment to reflect user behavior, fully considering the impact of intelligent power consumption behavior on load forecasting, and the current Compared with load forecasting that only considers factors such as climate, the present invention conforms to the development trend of the current smart grid, increases the influence of human users' subjective behavior in the original load forecasting, and provides load forecasting for power companies after carrying out smart power projects. Provide decision-making reference.

Description

technical field [0001] The invention relates to a load interval prediction method considering intelligent power consumption behavior, which belongs to the field of power system load prediction and planning. Background technique [0002] Electricity is the basic energy for social development and the core element of the entire national energy strategy. Load forecasting is one of the essential supporting technologies in power system research, planning and operation and maintenance, and it is also an important direction of long-term research in the field of power systems. Power load forecasting is an important basis for power system planning and operation decision-making, and its forecasting accuracy directly affects the safety and economy of system operation. [0003] Traditional forecasting methods mainly use probability method and fuzzy set method in simulating uncertain factors affecting load, which have limitations. For this reason, it is necessary to explore new and more...

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 Patents(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J3/003
Inventor 黄俊辉陈昕儒牛文娟周晓薇朱磊葛毅李琥史静胡晓燕谈健龙禹胡蔚
Owner STATE GRID JIANGSU ECONOMIC RES INST
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com