Game optimization method for solving integrated smart energy system scheduling

A smart energy and optimization method technology, applied in resources, data processing applications, forecasting, etc., can solve problems such as complex energy scheduling optimization

Active Publication Date: 2020-11-24
STATE NUCLEAR ELECTRIC POWER PLANNING DESIGN & RES INST CO LTD
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention provides a game optimization method for solving the scheduling of the integrated smart energy system to solve the complex energy scheduling optimization problem of the integrated smart energy system

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
  • Game optimization method for solving integrated smart energy system scheduling
  • Game optimization method for solving integrated smart energy system scheduling
  • Game optimization method for solving integrated smart energy system scheduling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] In order to make the technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0059] The embodiment of the present invention provides a game optimization method for solving the scheduling of the integrated smart energy system, the flow chart of which is as follows figure 1 As shown, the method includes:

[0060] Step 101, according to the input and output data of the integrated smart energy system to be studied, establish an input and output coupling relationship model of the energy hub.

[0061] Due to the various forms of energy input and load of the energy hub and the many conversion devices, it is difficult to establish and solve the model of the energy hub, which seriously affects the optimization level of energy scheduling of the energy hub. The traditional model independently studies the input and output of various energ...

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 game optimization method for solving scheduling of a comprehensive smart energy system. The method comprises the steps: establishing an energy concentrator input and output coupling relation model according to input and output data of a to-be-studied comprehensive smart energy system, and obtaining a function of energy supply required by the input end of an energy concentrator about a scheduling factor and a storage factor after conversion and dimensionality reduction; Establishing an energy flow game model between the energy concentrators by taking a function of energy supply required by the input ends of the energy concentrators about a scheduling factor and a storage factor as a constraint condition, and further performing solving to obtain a scheduling optimization operation scheme between the energy concentrators; And establishing a double-layer game model of the energy supply and consumption layer, and substituting the scheduling optimization operation scheme between the energy concentrators into the double-layer game model of the energy supply and consumption layer to obtain the optimal economic scheduling benefit of the comprehensive smart energy system to be studied. The method can solve the complex energy scheduling optimization problem of a comprehensive smart energy system.

Description

technical field [0001] The invention relates to the technical field of optimization of integrated smart energy system scheduling, in particular to a game optimization method for solving integrated smart energy system scheduling. Background technique [0002] The integrated smart energy system refers to a solution that provides integrated energy such as electricity, heat, cold, and gas for users in the region. Compared with the existing model of traditional energy systems that are mutually independent, mutually restrictive, and difficult to coordinate, the comprehensive smart energy system has new models such as multi-energy interconnection and integration, complementary integration, etc. The comprehensive smart energy system is of great significance to improve the efficiency of social energy utilization, promote the large-scale development of renewable energy, improve the utilization rate of social infrastructure and energy supply security, and achieve the goal of energy con...

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): G06Q10/06G06Q10/04G06Q50/06G06N3/00
Inventor 郑亚锋魏振华高宇峰王春雨胡荣远谢丽萍刘华桑士杰
Owner STATE NUCLEAR ELECTRIC POWER PLANNING DESIGN & RES INST CO LTD
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