Multi-objective optimization configuration method and system of wind-light-hydrogen storage system and storage medium

A multi-objective optimization and configuration method technology, applied in the field of optimal configuration of new energy power generation systems, to achieve the effects of optimizing calculation results, universal applicability, and improving computing speed

Pending Publication Date: 2022-03-25
CHINA ELECTRIC POWER RES INST
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the above-mentioned problems in the prior art, and provide a multi-objective optimization configuration method, system and storage medium of the wind-solar hydrogen storage system. For complex scene problems, it has more general applicability and can get more optimized calculation results

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
  • Multi-objective optimization configuration method and system of wind-light-hydrogen storage system and storage medium
  • Multi-objective optimization configuration method and system of wind-light-hydrogen storage system and storage medium
  • Multi-objective optimization configuration method and system of wind-light-hydrogen storage system and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0094] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and techniques are presented for a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0095] In addition, in the description of the specification and appended claims of the present application, the terms "first", "second", "third" and so on are only used to distinguish descriptions, and should not be understood as indicating or implying relative importance.

[0096] see image 3 , a multi-objective optimal configuration method for a wind-solar hydrogen storage system ...

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 multi-objective optimization configuration method and system for a wind-light-hydrogen storage system and a storage medium, and the method comprises the steps: constructing an objective function with the lowest total cost and the minimum system load power shortage rate, taking the power and capacity limitation of the system as constraint conditions, and taking the operation number of each device in the system as a decision variable; performing population initialization on the wind-light-hydrogen storage system model; performing non-dominated sorting on the initial population through a non-dominated genetic algorithm with an elitist strategy, and obtaining a first generation of offspring population through selection, crossover and mutation operations; from the second generation, combining the parent population with the child population, performing non-dominated sorting on the combined population, performing crowding degree calculation on individuals in each non-dominated layer, and selecting the individuals to form a new parent population according to a non-dominated relationship and the crowding degree of the individuals; performing selection, crossover and mutation operation on the new parent population; and outputting a capacity optimization configuration scheme when the maximum number of iterations is reached. According to the invention, the problem of optimal configuration in a complex scene can be solved.

Description

technical field [0001] The invention belongs to the technical field of optimal configuration of new energy power generation systems, and specifically relates to a multi-objective optimal configuration method, system and storage medium of a wind-solar hydrogen storage system. Background technique [0002] In the context of the "double carbon" requirements, my country is vigorously developing new energy power generation to achieve energy conservation and emission reduction in the power industry. However, the power generation of new energy sources such as wind and solar fluctuates greatly with seasons and environmental factors, so it is necessary to integrate energy storage equipment to build a coupling system with high stability, high economy, and low carbon emissions. [0003] Among various energy storage technologies, hydrogen energy storage has the advantages of large energy storage capacity, long storage time, cleanliness and pollution-free, and is more competitive in the ...

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): H02J3/38H02J3/46H02J3/28G06Q10/04G06Q10/06G06Q50/06G06N3/12
CPCH02J3/381H02J3/46H02J3/32H02J3/28G06Q10/04G06Q10/06313G06Q50/06G06N3/126H02J2203/20H02J2300/30H02J2300/28H02J2300/22H02J2300/40Y02E60/36Y02E70/30
Inventor 韩笑闫华光康建东万金明李俊辉
Owner CHINA ELECTRIC POWER RES INST
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