Integrated energy system operation scheduling method suitable for multi-target optimization scene

A comprehensive energy system, multi-objective optimization technology, applied in resources, data processing applications, instruments, etc., can solve problems such as inability to obtain Pareto optimal solutions, difficulty in integration, and insufficient diversity

Inactive Publication Date: 2018-05-18
NANJING INST OF TECH
View PDF5 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the intelligent multi-objective algorithm is used to solve the problem, the solution process is usually lengthy and difficult to integrate into practical engineering applications; while the algorit...

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 operation scheduling method suitable for multi-target optimization scene
  • Integrated energy system operation scheduling method suitable for multi-target optimization scene
  • Integrated energy system operation scheduling method suitable for multi-target optimization scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0099] The present invention will be further described below in conjunction with the accompanying drawings.

[0100] In practical applications, in order to realize the operation scheduling of the integrated cooling, heating and power energy system under the multi-objective optimization scenario, the following three aspects need to be paid attention to: (1) Whether the calculation results of the algorithm can search for a relatively uniform Pareto boundary in a certain scenario ; (2) Whether the calculation speed of the algorithm can meet the needs of practical applications; (3) Whether the calculation results can be directly used for dispatching to the dispatching system for execution.

[0101] In order to be able to answer the above three questions, a typical energy supply structure of a cooling, heating and power integrated energy system is used as an example scenario, in which the main equipment in the cooling, heating and power integrated energy system includes micro gas tu...

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 an integrated energy system operation scheduling method suitable for a multi-target optimization scene. According to the method, an optimal operation model of a cooling-heating-power integrated energy system under multiple targets is established according to the operation mode of the cooling-heating-power integrated energy system; a multi-target hierarchical progressive parallel algorithm based on an improved NSGA-II is proposed according to model characteristics; a target achieving method is introduced through a non-dominating layer ordering algorithm by changing a convergence judgment condition to improve accelerated convergence; and a parallel calculation scheme is designed according to algorithm characteristics. In this way, on the premise of considering the diversity of an algorithm search solution, the convergence speed of model solving is increased, an obtained scheduling strategy solution set can provide a basis for a user to decide selection of an optimal operation scheme according to different demands, and a thought and a method for realizing multi-target united optimal operation of the cooling-heating-power integrated energy system are provided.

Description

technical field [0001] The invention relates to an operation scheduling technology for a cold, heating, and electricity integrated energy system, and in particular to an integrated energy system operation scheduling method applicable to multi-objective optimization scenarios. Background technique [0002] Under the new situation that the country is promoting energy production and consumption revolution, increasing energy conservation and emission reduction, and preventing and controlling smog, it has become the consensus of the government, enterprises and the public to improve energy utilization efficiency and reduce pollutant emissions. The cold, heat and power integrated energy system includes four energy forms of cold, heat, electricity and gas. It uses Internet of Things technology and information technology to uniformly integrate and dispatch all energy supply equipment in the region, so as to optimize the supply of regional cold, heat and power loads. can improve the e...

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
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06315G06Q50/06
Inventor 曾艾东郝思鹏孟高军陈光宇董亮刘思亦周宇黄堃吴清蔡欣灵张前刘磊
Owner NANJING INST OF TECH
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