Planning operation joint optimization method and system for electricity-gas hybrid system based on distributed multiple scenes

A system planning and joint optimization technology, applied in information technology support systems, single-network parallel feeding arrangements, data processing applications, etc., can solve problems such as modeling and solving difficulties, and achieve the effect of reducing modeling difficulty and solving dimensions

Active Publication Date: 2019-12-27
SHANDONG UNIV
View PDF7 Cites 12 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
  • Planning operation joint optimization method and system for electricity-gas hybrid system based on distributed multiple scenes
  • Planning operation joint optimization method and system for electricity-gas hybrid system based on distributed multiple scenes
  • Planning operation joint optimization method and system for electricity-gas hybrid system based on distributed multiple scenes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] In one or more embodiments, a distributed multi-scenario-based joint optimization method for the 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 Optim...

Embodiment 2

[0106] In one or more embodiments, a distributed multi-scenario-based joint optimization system for planning and operation of electric-pneumatic hybrid systems 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 netw...

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 planning operation joint optimization method and system for an electricity-gas hybrid system based on distributed multiple scenes. The method comprises the steps: collectingelectricity purchasing power, gas source point gas inflow and t-moment net load fluctuation power parameters in different scenes; establishing an electricity-gas hybrid system capacity optimization problem model comprising a capacity configuration layer sub-problem model and a system operation layer sub-problem model; decoupling an electricity-gas hybrid system planning operation joint optimization problem into a configuration layer sub-problem and operation layer sub-problems in n scenes by adopting an alternating direction multiplier method with an adaptive step length, and carrying out iterative solution; and obtaining an optimal configuration result and an operation strategy set of the electricity-gas hybrid system. According to the method, indexes such as the net load fluctuation ratio are adopted to evaluate the operation flexibility of the power distribution network, the flexibility influence is considered in the optimization target, and the multi-target optimization problem ofconsidering both economy and flexibility in the capacity optimization of the electricity-gas hybrid system is effectively solved.

Description

technical field [0001] The present invention relates to the technical field of electric-pneumatic hybrid system optimization, in particular to a distributed multi-scenario based electric-pneumatic hybrid system planning and operation joint optimization method and 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 opti...

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): 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 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