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

Micro-energy network capacity optimization planning method based on economy-environment and energy dynamic pricing double-layer game

A capacity optimization, micro-energy technology, applied in resources, market forecasting, marketing, etc.

Pending Publication Date: 2020-08-07
NORTHEAST DIANLI UNIVERSITY
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the complexity of multiple conflicting relationships in the existing micro-energy network capacity optimization planning, and provide a scientific and reasonable, strong applicability, good effect, which can take into account the conflicting relationship between economic benefits and environmental benefits in planning problems , while considering the dynamic characteristics of energy prices, balancing the conflicting interests between micro-energy network operators and users, and improving planning efficiency and economy, a micro-energy network capacity optimization planning method based on the economy-environment and energy dynamic pricing double-layer game

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
  • Micro-energy network capacity optimization planning method based on economy-environment and energy dynamic pricing double-layer game
  • Micro-energy network capacity optimization planning method based on economy-environment and energy dynamic pricing double-layer game
  • Micro-energy network capacity optimization planning method based on economy-environment and energy dynamic pricing double-layer game

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] refer to image 3 , taking the micro-energy grid system structure as an example to analyze the micro-energy grid capacity optimization planning method based on the economy-environment and energy dynamic pricing double-layer game, the components to be planned include: power production components photovoltaic power supply, electricity, heat and cold energy conversion Components cogeneration units, gas boilers, electric refrigerators, lithium bromide absorption refrigerators, and energy storage components energy storage battery systems and heat storage systems.

[0061] refer to figure 1 with figure 2 , a kind of micro-energy network capacity optimization planning method based on economy-environment and energy dynamic pricing double-layer game of the present invention, comprises the following steps:

[0062] 1) The framework design of the micro-energy network capacity optimization planning method for the economy-environment and energy dynamic pricing double-layer game: ...

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 micro-energy network capacity optimization planning method based on an economy-environment and energy dynamic pricing double-layer game. The method comprises the following steps: designing a framework of the economy-environment and energy dynamic pricing double-layer game micro-energy network capacity optimization planning method, establishing an upper-layer environment-economy evolutionary game planning model, establishing a lower-layer energy dynamic pricing strategy master-slave game model, establishing a multi-energy conversion coupling hub model and the like. Theconflict relation between economic benefits and environmental benefits in the planning problem can be considered, meanwhile, the energy price dynamic characteristics are considered, the conflict benefits between a micro-energy network operator and a user are balanced, and the planning efficiency and economy are improved. The planning total cost can be effectively reduced, the user load peak-valley difference is balanced, the energy utilization efficiency is improved, meanwhile, emission of greenhouse gas CO2 and air pollutant NOx is reduced, and the environmental value is achieved. The methodhas the advantages of scientificity, reasonability, high applicability, good effect and the like.

Description

technical field [0001] The present invention relates to the field of micro energy grid (Micro Energy Grid, MEG) capacity optimization planning, which is a micro energy grid capacity optimization planning method based on economy-environment and energy dynamic pricing double-layer game, which is applied to the micro energy grid distribution of multi-energy coupling Joint planning of distributed power supply (Distribution Generation, DG), multi-energy conversion components, energy storage system (ESS) and thermal storage system (TSS). Background technique [0002] With the increase of global energy demand and the pressure brought by environmental protection demand, the energy pattern is constantly developing from traditional fossil energy to a new energy pattern of balanced development and complementary utilization of renewable energy. As a small integrated energy supply system integrating energy interconnection, conversion, coupling, storage and other functions, micro energy n...

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): G06Q10/04G06Q10/06G06Q30/02G06Q50/06
CPCG06Q10/04G06Q10/0637G06Q30/0206G06Q50/06
Inventor 黄南天包佳瑞琦蔡国伟王文婷杨冬锋孔令国吴银银杨学航张祎祺张良王燕涛黄大为
Owner NORTHEAST DIANLI UNIVERSITY
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