CN-121389775-B - Method and device for generating energy configuration scheme of multi-energy system and electronic equipment

CN121389775BCN 121389775 BCN121389775 BCN 121389775BCN-121389775-B

Abstract

The invention provides a method and a device for generating an energy configuration scheme of a multi-energy system and electronic equipment, and relates to the technical field of computers, wherein the method comprises the steps of obtaining system operation parameters of the papermaking industry; the method comprises the steps of comprehensively modeling according to system operation parameters of the papermaking industry to obtain an energy system model, solving the energy system model based on an improved NSGA-II algorithm to obtain a plurality of initial optimal solutions, and sequencing all the initial optimal solutions based on a TOPSIS algorithm to obtain an energy configuration scheme of the papermaking industry. The invention realizes the improvement of the efficiency of energy configuration while ensuring the accuracy.

Inventors

ZHANG YUQI
LI YAN
ZHENG TAO
LIU ZHIYUAN
SUN YONG

Assignees

东北农业大学

Dates

Publication Date: 20260508
Application Date: 20251029

Claims (8)

1. The method for generating the energy configuration scheme of the multi-energy system is characterized by comprising the following steps of: Acquiring system operation parameters of the papermaking industry; Comprehensively modeling according to the system operation parameters of the papermaking industry to obtain an energy system model, wherein the energy system model comprises an energy objective function, an economical objective function and an environmental objective function; Based on an improved NSGA-II algorithm, solving the energy system model to obtain a plurality of initial optimal solutions, wherein the method comprises the following steps: Obtaining an initialized population according to the energy system model, wherein the initialized population comprises a plurality of individuals; Screening the initialized population to obtain an initial parent population; Selecting, crossing and mutating the initial parent population to obtain a new offspring population; Based on a self-adaptive random walk mechanism, obtaining a new parent population according to the initial parent population and the new child population, returning to the step of selecting, crossing and mutating the initial parent population to obtain a new child population, and repeating the steps until preset conditions are met to obtain a plurality of initial optimal solutions; the obtaining a new parent population according to the initial parent population and the new offspring population comprises the following steps: performing disturbance analysis on each individual of the new offspring population to obtain a processed offspring population; wherein the disturbance analysis comprises: , Wherein, the For the location of individual i of the treated offspring population, For the location of individual i of the new offspring population, As a step-size factor, For the historical direction of individual i of the new offspring population, The random disturbance is adopted, and N is the total number of the population; Combining the initial parent population with the processed offspring population to obtain the new parent population; and based on a TOPSIS algorithm, sequencing all the initial optimal solutions to obtain an energy configuration scheme in the papermaking industry.
2. The method for generating an energy configuration scheme for a multi-energy system according to claim 1, wherein said selecting, crossing and mutating said initial parent population to obtain a new offspring population comprises: Obtaining a screened parent population by carrying out non-dominant rapid sequencing and crowding distance calculation on the initial parent population; wherein, the crowding degree distance calculation includes: , Wherein, the For an individual i a crowded degree distance, Is the maximum value of the kth target dimension, Is the minimum of the kth target dimension, For the function value of individual i in the kth target dimension, The function value of the individual i-1 in the kth target dimension, The function value of the individual i+1 in the kth target dimension is given, and M is the total number of individuals; And performing crossover and mutation operations on the screened parent population to obtain the new offspring population.
3. The method for generating an energy configuration scheme of a multi-energy system according to claim 1, wherein the sorting all the initial optimal solutions to obtain an energy configuration scheme of a paper industry comprises: respectively obtaining corresponding positive ideal solution distance and negative ideal solution distance according to all the initial optimal solutions; wherein the positive ideal solution distance comprises: , Wherein, the For the positive ideal solution distance, For the normalized value of the signal, In order to be properly understood, the device has the advantages of, The number of the evaluation indexes is calculated; Wherein the negative ideal solution distance comprises: , Wherein, the For the negative ideal solution distance in question, Is a negative ideal solution; carrying out similarity scoring through the positive ideal solution distance and the negative ideal solution distance to obtain similarity scoring; Wherein the similarity score comprises: , Wherein, the Scoring the similarity; And sequencing the initial optimal solutions by using the corresponding similarity scores to obtain the energy configuration scheme of the papermaking industry.
4. The method for generating an energy configuration scheme of a multi-energy system according to claim 1, wherein the comprehensively modeling according to the system operation parameters of the paper industry to obtain an energy system model comprises: comprehensively modeling according to the system operation parameters of the papermaking industry to obtain the energy objective function, wherein the energy objective function is used for representing the papermaking consumption standard coal amount; wherein the energy objective function includes: , Wherein, the The standard coal consumption for the paper making is used for representing the standard coal consumption of unit paper, To sum the data for all energy types, L is the quantity of energy types for the consumption of energy at the time t, Is the low-order heating value of the energy source, Is the low-grade heating value of the standard coal, The paper yield is annual paper yield; Comprehensively modeling according to the system operation parameters of the papermaking industry to obtain the economic objective function, wherein the economic objective function is used for representing the total annual operation cost; Wherein the economic objective function includes: , Wherein, the For the total operating cost of the year in question, For the cost of purchasing energy at time t, For the operating and maintenance costs of the energy source at time t, Carbon trade cost at time t for energy; comprehensively modeling according to the system operation parameters of the papermaking industry to obtain the environmental objective function, wherein the environmental objective function is used for representing the total annual carbon emission; Wherein the environmental objective function includes: , Wherein, the For the total amount of carbon emissions in the year, Carbon emission factor as an energy source.
5. The method for generating an energy configuration scheme of a multi-energy system according to claim 1, further comprising, before said comprehensively modeling according to the system operation parameters of the paper industry, obtaining an energy system model: and obtaining steam supply and demand balance constraint conditions, power load constraint conditions and equipment operation constraint conditions according to the system operation parameters of the papermaking industry.
6. An energy allocation scheme generating device of a multi-energy system, comprising: the system operation parameter acquisition module is used for acquiring the system operation parameters of the paper making industry; The energy system model acquisition module is used for comprehensively modeling according to the system operation parameters of the papermaking industry to obtain an energy system model, wherein the energy system model comprises an energy objective function, an economical objective function and an environmental objective function; The initial optimal solution obtaining module is configured to solve the energy system model based on an improved NSGA-II algorithm to obtain a plurality of initial optimal solutions, and includes: Obtaining an initialized population according to the energy system model, wherein the initialized population comprises a plurality of individuals; Screening the initialized population to obtain an initial parent population; Selecting, crossing and mutating the initial parent population to obtain a new offspring population; Based on a self-adaptive random walk mechanism, obtaining a new parent population according to the initial parent population and the new child population, returning to the step of selecting, crossing and mutating the initial parent population to obtain a new child population, and repeating the steps until preset conditions are met to obtain a plurality of initial optimal solutions; the obtaining a new parent population according to the initial parent population and the new offspring population comprises the following steps: performing disturbance analysis on each individual of the new offspring population to obtain a processed offspring population; wherein the disturbance analysis comprises: , Wherein, the For the location of individual i of the treated offspring population, For the location of individual i of the new offspring population, As a step-size factor, For the historical direction of individual i of the new offspring population, The random disturbance is adopted, and N is the total number of the population; Combining the initial parent population with the processed offspring population to obtain the new parent population; and the energy allocation scheme acquisition module in the papermaking industry is used for sequencing all the initial optimal solutions based on a TOPSIS algorithm to obtain the energy allocation scheme in the papermaking industry.
7. An electronic device comprising a memory and a processor; The memory is used for storing a computer program; the processor is configured to implement the energy configuration scheme generation method of the multi-energy system according to any one of claims 1 to 5 when executing the computer program.
8. A computer-readable storage medium, wherein the storage medium has stored thereon a computer program which, when executed by a processor, implements the energy profile generation method of the multi-energy system according to any one of claims 1 to 5.

Description

Method and device for generating energy configuration scheme of multi-energy system and electronic equipment Technical Field The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for generating an energy configuration scheme of a multi-energy system, and an electronic device. Background The energy system in the paper industry generally covers various energy input and conversion modes, and relates to various energy forms such as a coal-fired boiler, a methane generator set, outsourcing power, outsourcing steam and the like. A multi-energy complementary system with complex structure and strong coupling is formed, and multi-level and multi-type decisions are needed to be made at the same time. For the problems of high dimension of the decision variable and complex nonlinear coupling relation, the traditional energy system decision method is easy to have the problems of low convergence speed, easy to be trapped into local optimum and uneven distribution of leading edge solutions, so that the energy configuration scheme in the paper industry cannot meet the comprehensiveness and efficiency of actual requirements. Disclosure of Invention The invention solves the problem of how to improve the efficiency of energy configuration while ensuring the accuracy. In order to solve the problems, the invention provides an energy configuration scheme generation method and device of a multi-energy system and electronic equipment. In a first aspect, the present invention provides a method for generating an energy configuration scheme of a multi-energy system, including: Acquiring system operation parameters of the papermaking industry; Comprehensively modeling according to the system operation parameters of the papermaking industry to obtain an energy system model, wherein the energy system model comprises an energy objective function, an economical objective function and an environmental objective function; Solving the energy system model based on an improved NSGA-II algorithm to obtain a plurality of initial optimal solutions; and based on a TOPSIS algorithm, sequencing all the initial optimal solutions to obtain an energy configuration scheme in the papermaking industry. Optionally, the solving the energy system model to obtain a plurality of initial optimal solutions includes: Obtaining an initialized population according to the energy system model, wherein the initialized population comprises a plurality of individuals; Screening the initialized population to obtain an initial parent population; Selecting, crossing and mutating the initial parent population to obtain a new offspring population; And based on a self-adaptive random walk mechanism, obtaining a new parent population according to the initial parent population and the new child population, returning to the step of selecting, crossing and mutating the initial parent population to obtain a new child population, and repeating the steps until preset conditions are met to obtain a plurality of initial optimal solutions. Optionally, the selecting, crossing and mutating the initial parent population to obtain a new offspring population includes: Obtaining a screened parent population by carrying out non-dominant rapid sequencing and crowding distance calculation on the initial parent population; wherein, the crowding degree distance calculation includes: , Wherein, the For an individual i a crowded degree distance,For the maximum value of the kth target dimension,Is the minimum value of the kth target dimension,For the function value of individual i in the kth target dimension,Is the function value of the individual i-1 in the kth target dimension,The function value of the individual i+1 in the kth target dimension is given, and M is the total number of individuals; And performing crossover and mutation operations on the screened parent population to obtain the new offspring population. Optionally, the obtaining a new parent population according to the initial parent population and the new offspring population includes: performing disturbance analysis on each individual of the new offspring population to obtain a processed offspring population; wherein the disturbance analysis comprises: , Wherein, the For the location of the ith individual of the treated offspring population,For the location of the ith individual of the new offspring population,As a step-size factor,For the historical direction of the ith individual of the new offspring population,The random disturbance is adopted, and N is the total number of the population; Combining the initial parent population and the treated offspring population to obtain the new parent population. Optionally, the sorting all the initial optimal solutions to obtain an energy configuration scheme of the paper industry includes: respectively obtaining corresponding positive ideal solution distance and negative ideal solution distance according to all the initial opt