Integrated energy system supply and demand double-side integration optimization method considering user behavior analysis

A technology for comprehensive energy system and behavior analysis, which is applied in the field of comprehensive optimization of both supply and demand sides of the comprehensive energy system, and can solve problems such as not considering the two-way interaction between the demand side and the supply side

Inactive Publication Date: 2017-11-24
WUHAN UNIV
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing research mainly focuses on the stability and economic optimization of the supply side of the multi-energy collaborative energy system, and does not consider the two-way interaction between the demand side and the supply side.

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
  • Integrated energy system supply and demand double-side integration optimization method considering user behavior analysis
  • Integrated energy system supply and demand double-side integration optimization method considering user behavior analysis
  • Integrated energy system supply and demand double-side integration optimization method considering user behavior analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0177] Embodiment 1. A comprehensive optimization method for supply and demand sides of an integrated energy system that takes into account user behavior analysis, such as figure 1 As shown, the method includes the following steps;

[0178] 1. Analysis of user behavior on the demand side of the multi-energy collaborative system

[0179] 1.1 Premises for user selection decisions

[0180] The following assumptions can be made when discussing the user's choice of heating method:

[0181] (1) In the case of heating in winter, for user i, there is an optimum temperature A i , when the temperature is higher than A i When , the comfort level of user i is equal and the highest. It is assumed that the utility brought by the comfortable temperature is the highest and is 0, and the lower the temperature is, the smaller the utility is and is negative.

[0182] (2) When user i chooses any heating method, each heating method will heat the room to the optimum temperature A for user i i...

Embodiment 2

[0297] Embodiment 2. Taking a part of a certain district of a certain city in a certain province as a reference, the heat source is a natural gas supply station and a combined heat and power plant. The total length of the energy supply network is 13,307 meters, and the total residential area is 14.412 million square meters. Assuming that each household has an area of ​​120 square meters, a total of 120,000 households, the effective area is 40 square meters when using air-conditioning and natural gas heating. Suppose the unit cubic meter price of natural gas is C ug , the heating fee per square meter per month is C uh . The electricity price pricing is converted to monthly with reference to the existing ladder electricity price standard in the region. For the weather conditions, the weather data from the end of 2016 to the beginning of 2017 is predicted according to the historical temperature conditions of the place, and the daily minimum temperature is taken to obtain the st...

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 present invention relates to comprehensive energy system planning technology, and specifically relates to a comprehensive optimization method for both supply and demand sides of an integrated energy system that takes into account user behavior analysis, including the following steps: Step 1, analyzing user heating behavior on the demand side; Model; step 3, establish a dual-objective model and solve it. This method combines the utility function to analyze the heating behavior of users on the demand side, and establishes the supply-side economic model and the demand-side economic model according to the heating characteristics and mechanisms of different energy sources. The dual-objective optimization is carried out with the goal of the lowest electricity cost, realizing the comprehensive optimization of the comprehensive energy system considering both sides of supply and demand. Its advantages are: user behavior analysis is performed for the first time in the economic modeling of the supply side, and the two-way effect of the demand side and the supply side is considered for the first time in the optimization process, which improves the rationality and effectiveness of optimization.

Description

technical field [0001] The invention belongs to the technical field of comprehensive energy system planning, and in particular relates to a supply-demand double-sided comprehensive optimization method of an integrated energy system considering user behavior analysis. Background technique [0002] The utility function represents the function of the quantitative relationship between the utility obtained by consumers in consumption and the combination of commodities consumed. It is used to measure the degree of satisfaction consumers get from consuming a given combination of goods. The utility function can be used to analyze the composite situation of multi-type users and multi-type consumption. [0003] In order to effectively utilize clean energy, improve the security of energy supply and sustainable development capabilities, my country's "13th Five-Year Plan" for electric power has raised the coordinated and efficient use of diversified energy to a very important level. In...

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 Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0639G06Q50/06
Inventor 吴军王琪鑫刘涤尘陈懿陈炜徐雨田殷巧玲周仕豪
Owner WUHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products