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

Joint optimization method and system for distributed planning and operation of electric-gas hybrid system

A joint optimization and distributed technology, applied in information technology support system, single network parallel feeding arrangement, data processing application, etc., can solve problems such as modeling and solving difficulties, and achieve the effect of reducing modeling difficulty and solving dimension

Active Publication Date: 2021-03-02
SHANDONG UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In terms of research methods, commonly used methods include dynamic programming, heuristic algorithms, etc., which are mainly centralized calculations, and they will face difficulties in modeling and solving problems when dealing with multi-scenario problems

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
  • Joint optimization method and system for distributed planning and operation of electric-gas hybrid system
  • Joint optimization method and system for distributed planning and operation of electric-gas hybrid system
  • Joint optimization method and system for distributed planning and operation of electric-gas hybrid system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] In one or more embodiments, a joint optimization method for distributed planning and operation of an electric-pneumatic hybrid system is disclosed, including the following steps:

[0035] Collect power purchase power, gas source point air intake and net load fluctuation power parameters at time t in different scenarios;

[0036] Establishing a capacity optimization problem model of the electric-gas hybrid system, the capacity optimization problem model of the electric-gas hybrid system includes a capacity configuration layer sub-problem model and a system operation layer sub-problem model;

[0037] Among them, the sub-problem model of the capacity configuration layer aims at the optimal economics of the configuration scheme, and takes the equipment capacity constraint as the constraint condition; the sub-problem model of the system operation layer takes the optimal operation economy and the operation flexibility of the distribution network Optimum is the goal, with the ...

Embodiment 2

[0106] In one or more embodiments, a joint optimization system for distributed planning and operation of an electric-pneumatic hybrid system is disclosed, including:

[0107] A device for collecting power purchases in different scenarios, air intake at gas source points, and net load fluctuation power parameters at time t;

[0108] A device for establishing a capacity optimization problem model of an electric-gas hybrid system, wherein the capacity optimization problem model of the electric-gas hybrid system includes a capacity configuration layer sub-problem model and a system operation layer sub-problem model;

[0109] Among them, the sub-problem model of the capacity configuration layer aims at the optimal economics of the configuration scheme, and takes the equipment capacity constraint as the constraint condition; the sub-problem model of the system operation layer takes the optimal operation economy and the operation flexibility of the distribution network Optimum is the...

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 joint optimization method and system for distributed planning and operation of an electric-gas hybrid system, including: collecting power purchased in different scenarios, air intake volume at a gas source point, and net load fluctuation power parameters at time t; The electric-pneumatic hybrid system capacity optimization problem model of the configuration layer sub-problem model and the system operation layer sub-problem model; using the alternating direction multiplier method with adaptive step size, the joint optimization problem of the planning and operation of the electric-pneumatic hybrid system is solved Coupling is the sub-problem of the configuration layer and the sub-problem of the operation layer in n scenarios, and iteratively solves it; the optimal configuration result and the operation strategy set of the electric-pneumatic hybrid system are obtained. The present invention evaluates the operating flexibility of the distribution network by using indicators such as net load fluctuation rate, considers the influence of flexibility in the optimization target, and effectively solves the problem of considering both economy and flexibility in the capacity optimization of the electric-gas hybrid system target optimization problem.

Description

technical field [0001] The invention relates to the technical field of optimization of an electric-pneumatic hybrid system, in particular to a joint optimization method and system for distributed planning and operation of an electric-pneumatic hybrid system. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] With the transformation of energy consumption structure and the rapid development of various conversion technologies, the proportion of natural gas in energy consumption has gradually increased, making the multi-energy system represented by electricity-gas more and more widely researched and applied. The access to the natural gas system not only increases the diversity of energy supply system options, but also improves the flexibility of power system operation accordingly. At the same time, the multi-energy system joint optimization cons...

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): H02J3/38H02J3/32G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06313G06Q50/06H02J3/32Y04S10/50
Inventor 陈健林咨良吴秋伟
Owner SHANDONG UNIV
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