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

A verna-ga gasoline blending optimization scheduling method

A technology for optimizing scheduling and gasoline, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems that oil performance cannot directly meet the requirements of various oil quality

Active Publication Date: 2016-01-20
ZHEJIANG UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the comprehensive consideration of technology and economy, coupled with the limitations of the refinery process, the performance of the primary product oil produced by each refinery generally cannot directly meet the quality requirements of various oil products, such as gasoline, diesel, and lubricating oil. Require

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
  • A verna-ga gasoline blending optimization scheduling method
  • A verna-ga gasoline blending optimization scheduling method
  • A verna-ga gasoline blending optimization scheduling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The purpose and effects of the present invention will become more apparent by describing the present invention in detail according to the accompanying drawings and embodiments.

[0062] The idea of ​​virus co-evolution in the present invention: the virus individual is regarded as an individual with vitality, and the individual in the main population is sequentially infected with a certain probability. If the individual fitness value of the main population increases after infection, then the infection The final individual replaces the corresponding individual in the main population. According to the quality of the infection, the virus individual will perform replication or deletion operations to dynamically adjust the fitness and infection rate of the virus individual, and continue to infect and evolve the main population until it is satisfied. condition. Virus evolution includes three basic operations: infection operation, replication operation, and deletion operation. ...

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 VERNA-genetic algorithm (GA) gasoline concoction optimized dispatching method. The VERNA-GA gasoline concoction optimized dispatching method comprises that first of all, a gasoline concoction dispatching model aiming at profit and constraint satisfaction is constructed according to information of blending component oil, product oil and market supply and demand under conditions of a concoction model with high prediction accuracy and production dispatching constraint, then a VERNA-GA method is adopted, wherein a calculation structure of the VERNA-GA method comprises operations of selection, cross and mutation of a main group and operations of infection, copy and deletion of a virus group, parameter set and searching and optimization of formula are carried out according to an algorithm parameter value range provided in the VERNA-GA gasoline concoction optimized dispatching method, and gasoline concoction optimized dispatching production is carried out according to the formula. The VERNA-GA gasoline concoction optimized dispatching method provides concoction optimized dispatching schemes for gasoline of one day and a plurality of days, is in no need of formula experience, when the formula is randomly searched in the production constraint range, the formula which is reliable in quality and high in profit can be rapidly found out, and operation and expansion of optimized dispatching scale are easy.

Description

technical field [0001] The invention relates to the field of chemical process optimization, in particular to a gasoline blending optimization scheduling method of Viral Evolution based RNA Genetic Algorithm (VERNA-GA). Background technique [0002] With the development of society, the petroleum refining industry presents the characteristics of large-scale, modernized technology and diversified varieties, and its production capacity, product quality and varieties continue to grow steadily. Due to the comprehensive consideration of technology and economy, coupled with the limitations of the refinery process, the performance of the primary product oil produced by each refinery generally cannot directly meet the quality requirements of various oil products, such as gasoline, diesel, and lubricating oil. Require. Primary product oil is often referred to as semi-finished product oil or base oil. In order to reduce costs, save energy, improve efficiency, and optimize processes, i...

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): G06F19/00G06Q10/04G06Q50/00G06N3/12
Inventor 王宁许贤峰
Owner ZHEJIANG 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