Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Energy Balance and Scheduling Method Based on Improved Mixed Multipopulation Evolutionary Algorithm

An evolutionary algorithm, energy balance technology, applied in the energy industry, resources, computing and other directions, can solve the problem of lack of comprehensive dynamic balance and optimal scheduling method of multi-energy medium, to improve the comprehensive utilization efficiency of energy, large economic benefits, optimization effect of assignment

Active Publication Date: 2018-03-13
WISDRI ENG & RES INC LTD
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide an energy balance and scheduling method based on an improved hybrid multi-population evolutionary algorithm to solve the problem that the prior art lacks a comprehensive dynamic balance and optimal scheduling method for iron and steel enterprises with multiple energy media

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
  • Energy Balance and Scheduling Method Based on Improved Mixed Multipopulation Evolutionary Algorithm
  • Energy Balance and Scheduling Method Based on Improved Mixed Multipopulation Evolutionary Algorithm
  • Energy Balance and Scheduling Method Based on Improved Mixed Multipopulation Evolutionary Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Embodiment 1 provided by the present invention is a preferred embodiment of an energy balance and scheduling method based on an improved mixed multi-population evolutionary algorithm.

[0040] In the embodiment of the present invention, the process of obtaining the network topology structure of the iron and steel enterprise energy system in step 1 includes: inputting the types and quantities of various energy medium pipe networks, and the physical attributes of the energy medium pipe networks; the physical attributes of the energy medium pipe networks include : Medium form, upper / lower pressure limit, calorific value, etc. of the gas pipeline network, upper / lower pressure limit, upper / lower temperature limit, enthalpy value, etc. of the steam pipeline network, parameters such as the main transformer capacity, maximum load, and voltage level of the internal grid.

[0041] The process of obtaining unit equipment information in the gas, steam and electric subsystem in step ...

Embodiment 2

[0125] Embodiment 2 provided by the present invention is a specific application example of the energy balance and scheduling method based on the improved mixed multi-population evolutionary algorithm. In order to verify the effectiveness of the improved mixed multi-population evolutionary algorithm, three classic standards are selected. The test function evaluates the algorithm, where, f 1 is the Rosenbrock function, f 2 is the Colville function, f 3 are Benchmark functions, and they are all minimum problems. It should be noted that f 1 There is only one global minimum value 0, even so, its value changes slowly near the global minimum value, so it is an ill-conditioned function; and f 1 different f 2 There are infinitely many local extremum points, and it is a multimodal function, so it is difficult for the general algorithm to converge to the global optimum point 0; similarly, f 3 It also has multiple local extreme points. In addition, it is a high-dimensional function w...

Embodiment 3

[0134] The third embodiment provided by the present invention is another specific application embodiment of the energy balance and scheduling method based on the improved hybrid multi-population evolutionary algorithm, taking a large-scale full-process iron and steel complex as an example. image 3 It is the topological structure diagram of the gas subsystem of a typical iron and steel enterprise, Figure 4 It is a topology diagram of the steam and power subsystem of a typical iron and steel enterprise. Depend on image 3 It can be seen that the main by-product gases of iron and steel enterprises are blast furnace gas (BFG), coke oven gas (COG) and converter gas (LDG), which are produced by blast furnace, coke oven and converter respectively. The main network of various gas media is equipped with corresponding gas cabinets and release towers, and the main production process users, such as ironworks, steelworks and wide and heavy plate factories, are also connected to differen...

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 present invention is applicable to the field of energy dynamic balance and optimal dispatching in iron and steel enterprises, and provides an energy balance and dispatching method based on an improved hybrid multi-population evolutionary algorithm, including: obtaining the network topology of the iron and steel enterprise energy system and the gas, steam and electric substations Equipment information of each unit in the system; obtain supply and demand forecast data of various energy media, production maintenance plans and other setting information; establish a mathematical model of energy dynamic balance and optimal scheduling in iron and steel enterprises, determine the optimization variables of the optimal scheduling model; determine optimal scheduling The objective function and constraints of the model; the improved mixed multi-population evolutionary algorithm is called to solve; the penalty function method is used to deal with multiple constraints in the mathematical model during the solution process, and the degree of individual violation of the constraints is determined by the penalty function. A penalty item is added to the function to construct a new individual fitness value; from the perspective of comprehensive scheduling and global optimization, the technical scheme of multi-energy medium dynamic balance and optimal scheduling is given, which has clear guiding significance for specific practice.

Description

technical field [0001] The invention belongs to the field of energy dynamic balance and optimal scheduling in iron and steel enterprises, and in particular relates to an energy balancing and scheduling method based on an improved mixed multi-population evolutionary algorithm. Background technique [0002] The iron and steel industry is the basic pillar industry of the national economy, and it is also a resource- and energy-intensive industry. Energy consumption is an important factor that determines the production cost and profit of the iron and steel industry, and it is also the main reason that affects the environmental load. On the one hand, iron and steel enterprises have a long production process with various procedures and equipment, and each process is connected with each other, and each process and equipment is associated with multiple energy media; on the other hand, iron and steel enterprises need to use more than 20 types of energy. These energy media not only ha...

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): G06Q10/06
CPCY02P80/10
Inventor 曾亮叶理德欧燕
Owner WISDRI ENG & RES INC 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
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com