Multi-objective Optimization Method for Energy Internet

A technology of energy Internet and multi-objective optimization, applied in the field of energy dispatching, to alleviate the load pressure of the power grid, improve the local consumption capacity, and promote the effect of peak shaving and valley filling

Inactive Publication Date: 2019-01-29
STATE GRID JIBEI ENERGY SAVING SERVICE +1
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In summary, the optimal dispatch of the Energy Internet still faces severe challenges

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
  • Multi-objective Optimization Method for Energy Internet
  • Multi-objective Optimization Method for Energy Internet
  • Multi-objective Optimization Method for Energy Internet

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention will be described below in conjunction with the accompanying drawings and specific embodiments.

[0038] First, the energy internet is modeled:

[0039] Energy Internet System Modeling

[0040] The energy Internet embedded in power grid, gas grid and distributed DHCs such as figure 1 shown. The system includes electric power supply system, electric power transmission system, electric load, natural gas supply system, natural gas transmission system, gas turbine, natural gas load, and cooling and heating load. The power grid and the gas grid are closely connected through gas turbines and distributed DHCs. Gas turbines can convert natural gas into electricity for the grid, while distributed DHCs consume both electricity and natural gas to supply their cooling and heating loads.

[0041] The implementation period of the energy Internet scheduling problem studied in the present invention is set to one hour. To coordinate the competing interests amon...

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

Disclosed is a method for multi-objective optimization of energy Internet including a grid unit, a gas network unit and a distributed thermal power system embedded energy Internet DHCs unit. The method comprises: under the set control strategy, taking energy use, environmental impact and economic performance as multi-objective functions, the constraint conditions include power balance constraint,generation output power limit constraint and consumption balance operation constraint. The power network, gas network and the energy internet embedded in the distributed cooling / thermoelectric systemare modeled, and many objective optimization models are established for their optimal coordinated dispatching. The objective reduction method is used. The ACL algorithm is used to obtain the Pareto optimal frontier, and then the target set with the smallest number of targets is obtained step by step based on the Pareto optimal frontier. Compared with the traditional dispatching method, the invention not only promotes the peak clipping and valley filling of the external electric network, but also alleviates the load pressure of the electric network, improves the local absorption capacity of theregional new energy, and improves the energy use efficiency.

Description

technical field [0001] The invention relates to the technical field of energy dispatching, in particular to a multi-objective optimization method for energy internet. Background technique [0002] With the rapid development of the world economy and society, the global energy consumption structure is constantly changing, and the main body of energy consumption is gradually transitioning from fossil energy to renewable energy. With the large-scale development and use of clean energy, the proportion of electric energy in the energy consumption structure is increasing, and the world is showing a continuous trend of electrification. Therefore, the construction of intercontinental power grids is of great significance to the optimal allocation of global energy. By using the power grid to replace some traditional sea and land transportation methods for energy transmission and trade between continents, it is beneficial to reduce the economic cost of energy transmission. [0003] The...

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): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 贺惠民杨正何守龙
Owner STATE GRID JIBEI ENERGY SAVING SERVICE
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap