Load adjustable capability evaluation method and system

Abstract

The invention provides a load adjustable capability assessment method and system. The method comprises the following steps: collecting load adjustable capability assessment related data of the papermaking industry; the load adjustable capability evaluation related data comprises enterprise basic data and adjustable capability indexes; carrying out aggregation calculation on the load adjustable capability evaluation related data to obtain a production line comprehensive index value corresponding to each type of production line; determining the weight value of each adjustable capability index by adopting an analytic hierarchy process, and calculating the adjustable capability score of each type of production line based on the production line comprehensive index value corresponding to each type of production line; and comprehensive evaluation is carried out on the load adjustable capability of the industry by combining the electricity utilization proportions of various production lines in the industry. According to the invention, the load adjustability of the papermaking industry is accurately evaluated, the accurate quantification of the load adjustment potential of the papermaking industry is realized, the participation efficiency of the load adjustment potential in the power demand response is improved, and reliable technical support is provided for the market development of a demand response mechanism.

Description

Technical Field

[0001] The present invention relates to the technical field of power dispatching operation, and specifically relates to a method and system for evaluating the load adjustable capacity. Background Art

[0002] The construction of a new power system characterized by more renewable energy access is accelerating. The intermittent and volatile characteristics of renewable energy pose higher requirements for the flexible regulation ability of the power system. As the most important adjustable resource on the power demand side, the accurate evaluation of the adjustable capacity of industrial loads has become a key technology to support the coordinated regulation of the power source, grid, load, and energy storage. Especially under the background of the accelerating marketization process of the demand response mechanism, scientifically quantifying the regulation potential of the industry is of great practical significance for improving the flexibility of power grid operation and promoting the consumption of new energy.

[0003] When evaluating the adjustable capacity of industrial loads, existing research often directly uses the adjustable characteristics of the main energy-consuming equipment to characterize the regulation potential of the entire industry. This simplified treatment fails to fully consider the heterogeneity characteristics of different production links. Especially for the paper industry, due to its relatively dispersed load distribution, relatively low correlation between process links, and certain production buffer space, different production lines (such as pulp making, papermaking, and paper product manufacturing) exhibit unique regulation characteristics and flexibility. Such complex industrial characteristics make it difficult to effectively apply traditional evaluation methods. Summary of the Invention

[0004] Therefore, the present invention provides a method and system for evaluating the load adjustable capacity, aiming to solve the technical problem of the limitation that the evaluation of the load adjustable capacity in the prior art does not fully consider the industry characteristics.

[0005] To achieve the above objectives, the present invention adopts the following technical solutions:

[0006] According to the first aspect of the present invention, a method for evaluating the load adjustable capacity is provided, and the method includes:

[0007] Collect data related to the evaluation of the load adjustable capacity of the paper industry; the data related to the evaluation of the load adjustable capacity includes enterprise basic data and adjustable capacity indicators;

[0008] Perform aggregation calculation on the data related to the evaluation of the load adjustable capacity to obtain the line comprehensive index value corresponding to each type of production line;

[0009] Use the analytic hierarchy process to determine the weight values of each adjustable capacity indicator, and calculate the adjustable capacity scores of each type of production line based on the line comprehensive index value corresponding to each type of production line;

[0010] Combine the electricity consumption proportion of each type of production line in the industry to comprehensively evaluate the load adjustable capacity of the industry.

[0011] Furthermore, the basic enterprise data includes at least one of the production process type, production line equipment composition, number of equipment, rated capacity, and annual power consumption of the production line.

[0012] and / or

[0013] The adjustable capacity indicators include the maximum adjustable load, advance notice time, longest continuous adjustment time, restoration operation duration, and response willingness.

[0014] Furthermore, aggregating and calculating the data related to the load adjustable capacity assessment to obtain a production line comprehensive index corresponding to each type of production line, including:

[0015] Performing a summation calculation on the maximum adjustable loads of all equipment of each type of production line within the enterprise to obtain the maximum adjustable load value of each type of production line within the enterprise. The formula is expressed as follows:

[0016]

[0017] where i represents the i-th enterprise; j represents the j-th type of production line; k represents the k-th equipment, represents that there are m pieces of equipment in total for production line j of enterprise i; represents the maximum adjustable load value of production line j of enterprise i; represents the maximum adjustable load of equipment k of production line j of enterprise i;

[0018] and

[0019] Based on the consistency characteristic that the same type of adjustable capacity indicators of all equipment on production line j of enterprise i are the same on the same production line, a unified value is adopted for the same type of adjustable capacity indicators, denoted as The same type of adjustable capacity indicators include the advance notice time, longest continuous adjustment time, restoration operation duration, and response willingness;

[0020] Performing an average value calculation on the adjustable capacity indicators of each type of production line of different enterprises in the industry to obtain the production line comprehensive index value corresponding to each type of production line. The formula is expressed as follows:

[0021]

[0022] where i represents the i-th enterprise; j represents the j-th type of production line; n represents the number of enterprises in the industry; x j represents the production line comprehensive index value of production line j in the industry; represents the adjustable capacity indicator value of production line j of enterprise i, including the maximum adjustable load value of production line j of enterprise i and the same type of adjustable capacity indicator value of production line j of enterprise i

[0023] Further, the method for determining the weight values of the adjustable ability indicators by using the analytic hierarchy process includes:

[0024] Step S1: Determine the relative importance of each adjustable ability indicator based on expert experience, and construct a judgment matrix of the criterion layer with respect to the target layer;

[0025] Step S2: Perform column normalization on the judgment matrix, and perform row arithmetic mean calculation on the normalized judgment matrix to obtain the weight vectors of the adjustable ability indicators;

[0026] Step S3: Perform consistency verification on the judgment matrix. If the judgment matrix does not meet the consistency requirement, readjust the judgment matrix, and repeat Steps S1 - S3 until the judgment matrix meets the consistency requirement.

[0027] Further, the judgment matrix is represented by the formula:

[0028]

[0029] where p st represents the importance of criterion B t relative to B s and satisfies the following conditions:

[0030]

[0031] The formula for the normalized judgment matrix is represented as:

[0032]

[0033] The formula for performing row arithmetic mean calculation on the normalized judgment matrix to obtain the weight vectors of the adjustable ability indicators is:

[0034]

[0035] where w1, w2, w3, w4, and w5 respectively represent the weight vectors of the adjustable ability indicators.

[0036] Further, the consistency verification of the judgment matrix includes:

[0037] Calculate the maximum eigenvalue λ max of the judgment matrix, and the formula is:

[0038]

[0039] where P represents the judgment matrix; w represents the weight vectors of the adjustable ability indicators; (Pw) s represents the s-th component of the vector obtained by multiplying P and w;

[0040] Calculate the consistency index CI, which is expressed by the formula:

[0041]

[0042] Introduce the random consistency index RI = 1.12, and calculate the consistency ratio CR, which is expressed by the formula:

[0043]

[0044] Use the consistency ratio CR to determine whether the judgment matrix meets the consistency requirement, which is expressed by the formula:

[0045]

[0046] Among them, Q represents the consistency ratio threshold.

[0047] Further, calculate the adjustable capacity scores of each type of production line based on the production line comprehensive index values corresponding to each type of production line, including:

[0048] Normalize the production line comprehensive index values corresponding to each type of production line to obtain the standard values of each load adjustable capacity index corresponding to each type of production line;

[0049] Based on the standard values of each load adjustable capacity index corresponding to each type of production line and the weight vectors of each adjustable capacity index, calculate the adjustable capacity scores of each type of production line. The formula is as follows:

[0050]

[0051] Among them, w l represents the weight vector of the l-th load adjustable capacity index; r jl represents the standard value of the l-th adjustable capacity index of production line j; S j represents the adjustable capacity score of production line j.

[0052] Further, normalize the production line comprehensive index values corresponding to each type of production line to obtain the standard values of each adjustable capacity index corresponding to each type of production line, including:

[0053] For the positive indicators among the adjustable capacity indicators that have a positive correlation with the load adjustable capacity, the processing formula is as follows:

[0054]

[0055] For the negative indicators among the adjustable capacity indicators that have a negative correlation with the load adjustable capacity, the processing formula is as follows:

[0056]

[0057] Among them, r jl represents the standard value of the l-th adjustable capacity index of production line j; x jl represents the production line comprehensive index value corresponding to the l-th adjustable capacity index of production line j; The positive indicators include the maximum adjustable load value, the longest continuous adjustment time, and the response time; The negative indicators include the advance notice time and the restoration operation duration.

[0058] Furthermore, combining the electricity consumption proportions of various production lines in the industry, comprehensively evaluate the load adjustable capacity of the industry, including:

[0059] Calculate the electricity consumption proportion of each type of production line in the industry using the annual electricity consumption of the production line, and the formula is as follows:

[0060]

[0061] Among them, α j represents the electricity consumption proportion of production line j in the industry; E j represents the annual electricity consumption of production line j corresponding to the production line; j = 1, 2, 3 represent three types of production lines: pulping, papermaking, and paper product manufacturing;

[0062] Based on the electricity consumption proportion and adjustable capacity score of each type of production line, calculate the load adjustable capacity score of the industry, and the formula is as follows:

[0063]

[0064] Among them, S j represents the adjustable capacity score of production line j; α j represents the electricity consumption proportion of production line j in the industry; S represents the load adjustable capacity score of the industry.

[0065] According to the second aspect of the present invention, a load adjustable capacity evaluation system is provided, and the system includes:

[0066] A data collection module, used to collect data related to the load adjustable capacity evaluation of the papermaking industry; The data related to the load adjustable capacity evaluation includes enterprise basic data and adjustable capacity indicators;

[0067] An intermediate calculation module, used to perform aggregation calculations on the data related to the load adjustable capacity evaluation to obtain the production line comprehensive index value corresponding to each type of production line;

[0068] A production line scoring module, used to determine the weight values of each adjustable capacity index by using the analytic hierarchy process, and calculate the adjustable capacity scores of various types of production lines based on the production line comprehensive index value corresponding to each type of production line;

[0069] An industry scoring module for comprehensively evaluating the load adjustable capacity of the industry by combining the electricity consumption ratios of various production lines in the industry.

[0070] The present invention adopts the above technical solutions and has at least the following beneficial effects:

[0071] Through the solution of the present invention, relevant data for evaluating the load adjustable capacity of the paper-making industry is collected; the relevant data for evaluating the load adjustable capacity includes enterprise basic data and adjustable capacity indicators; the relevant data for evaluating the load adjustable capacity is aggregated and calculated to obtain the production line comprehensive index value corresponding to each type of production line; the analytic hierarchy process is used to determine the weight values of each adjustable capacity indicator, and based on the production line comprehensive index value corresponding to each type of production line, the adjustable capacity score of each type of production line is calculated; the load adjustable capacity of the industry is comprehensively evaluated by combining the electricity consumption ratios of various production lines in the industry. Thus, the load adjustable capacity of the paper-making industry is accurately evaluated, the accurate quantification of the load adjustment potential of the paper-making industry is realized, the participation efficiency in the power demand response is improved, the coordinated control of the power source, grid, load and storage is promoted, and reliable technical support is provided for the market-oriented development of the demand response mechanism.

[0072] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0074] Figure 1 Shows a schematic flow chart of a load adjustable capacity evaluation method provided by an embodiment of the present invention;

[0075] Figure 2 Shows a schematic structural diagram of a load adjustable capacity evaluation system provided by an embodiment of the present invention;

[0076] Figure 3 Shows a schematic physical structure diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0077] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be completely conveyed to those skilled in the art.

[0078] It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, the elements defined by the statement "including..." do not exclude the existence of additional identical elements in the process, method, article or device including the said elements.

[0079] An embodiment of the present invention provides a method for evaluating the load adjustable capacity, as Figure 1 shown, may at least include the following steps S101 to S104:

[0080] Step S101, collect data related to the evaluation of the load adjustable capacity in the paper-making industry.

[0081] First of all, in the embodiment of the present invention, by collecting the basic enterprise data and adjustable capacity indicators in the paper-making industry, a complete evaluation index system is established. Among them, the basic enterprise data may include the production process type, the composition of production line equipment, the number of equipment, the rated capacity, and the annual electricity consumption of the production line; the adjustable capacity indicators may include the maximum adjustable load, the advance notice time, the longest continuous adjustment time, the restoration operation duration, and the response willingness. In actual operation, the above-mentioned data related to the evaluation of the load adjustable capacity can be obtained through enterprise investigation and formed into a standardized data collection form for subsequent calculation and processing.

[0082] Step S102, perform aggregation calculation on the data related to the evaluation of the load adjustable capacity to obtain the comprehensive index value corresponding to each type of production line.

[0083] This step aggregates the data related to the evaluation of the load adjustable capacity from the equipment level to the production line level. That is to say, considering the difference in the electricity consumption scale among enterprises, the weighted average method is used to determine the benchmark value of the industry production line index. For the equipment of the same production line, there are differences in the aggregation methods of different adjustable capacity indicators:

[0084] For the maximum adjustable load, sum up the maximum adjustable loads of all devices of each type of production line in the enterprise to obtain the maximum adjustable load values of various types of production lines in the enterprise. The formula is as follows:

[0085]

[0086] Among them, i represents the i-th enterprise; j represents the j-th type of production line; k represents the k-th device. represents that there are m devices in total for production line j of enterprise i; represents the maximum adjustable load value of production line j of enterprise i; represents the maximum adjustable load of device k on production line j of enterprise i.

[0087] At the same time, since all devices of each type of production line in the enterprise have consistency characteristics in the same production line in terms of advance notice time, longest continuous adjustment time, restoration operation duration, response willingness and other similar adjustable ability indicators, the unified value can be taken as the comprehensive indicator at the production line level, that is, the similar adjustable ability indicator value of production line j of enterprise i

[0088] Furthermore, in order to obtain typical values that can represent the characteristics of production lines in the paper-making industry, the embodiments of the present invention can calculate the average value of the adjustable ability indicators of each type of production line in the industry to obtain the production line comprehensive indicator values corresponding to various types of production lines. The formula is as follows:

[0089]

[0090] Among them, i represents the i-th enterprise; j represents the j-th type of production line; n represents the number of enterprises in the industry; x j represents the production line comprehensive indicator value corresponding to production line j in the industry; represents the adjustable ability indicator of production line j of enterprise i, that is, the maximum adjustable load of production line j of enterprise i and the similar adjustable ability indicator value of production line j of enterprise i

[0091] Based on the above (1)-(2), aggregate and calculate the data related to the evaluation of load adjustable ability to obtain the benchmark values of the adjustable ability indicators of various types of production lines in the industry, that is, the production line comprehensive indicator values.

[0092] Step S103: Use the analytic hierarchy process to determine the weight values of each adjustable ability indicator, and calculate the adjustable ability scores of various types of production lines based on the production line comprehensive indicator values corresponding to each type of production line.

[0093] In order to determine the relative importance among the adjustable ability indicators, the embodiments of the present invention use the analytic hierarchy process to determine the weight values of each adjustable ability indicator. The specific implementation steps can at least include S1-S3:

[0094] Step S1: Determine the relative importance of each adjustable ability index based on expert experience, and construct a judgment matrix of the criterion layer with respect to the target layer;

[0095] That is to say, for each adjustable ability index, expert scoring can be carried out first, and the relative weight of the criterion layer with respect to the target layer can be constructed based on the expert scoring to construct the judgment matrix P. The mathematical expression is as follows:

[0096]

[0097] Among them, p st represents the importance of criterion B t relative to target B s , and is assigned values using the 1-9 scale method:

[0098]

[0099] It can be understood that the criterion layer relative to the target layer satisfies the following conditions: p st >0; p st =1 / p ts ; p ss =1.

[0100] Step S2: Perform column normalization on the judgment matrix, and perform row arithmetic average calculation on the normalized judgment matrix to obtain the weight vector of each adjustable ability index.

[0101] The normalized judgment matrix P st ' is expressed by the formula:

[0102]

[0103] For each row element of the normalized judgment matrix p st ', calculate the arithmetic average, and the formula for obtaining the weight vector of each adjustable ability index is expressed as:

[0104]

[0105] Among them, w1, w2, w3, w4, and w5 respectively represent the weight vectors of each adjustable ability index.

[0106] Step S3: Perform consistency verification on the judgment matrix. If the judgment matrix does not meet the consistency requirements, readjust the judgment matrix and repeat steps S1 to S3 until the judgment matrix meets the consistency requirements.

[0107] To ensure the rationality of the judgment matrix and the weights of the criterion layer, the embodiments of the present invention also need to perform consistency verification on the judgment matrix, which specifically includes the following steps:

[0108] Calculate the maximum eigenvalue λ of the judgment matrixmax , which is expressed by the formula as:

[0109]

[0110] Among them, P represents the judgment matrix; w represents the weight vector of each adjustable ability index; Pw is the matrix multiplication; (Pw) s represents the s-th component of the vector obtained by multiplying P and w.

[0111] Calculate the consistency index CI, which is expressed by the formula as:

[0112]

[0113] Introduce the random consistency index RI. When the order of the judgment matrix is 5, RI = 1.12. Calculate the consistency ratio CR, which is expressed by the formula as:

[0114]

[0115] Use the consistency ratio CR to judge whether the judgment matrix meets the consistency requirement, which is expressed by the formula as:

[0116]

[0117] Among them, Q represents the consistency ratio threshold; preferably, Q = 0.1. That is, when CR < 0.1, it is considered that the consistency of the judgment matrix is acceptable; when CR ≥ 0.1, the judgment matrix needs to be readjusted until the consistency requirement is met.

[0118] Furthermore, based on the production line comprehensive index value corresponding to each type of production line, calculate the adjustable ability score of each type of production line. First, the production line comprehensive index value corresponding to each type of production line can be normalized to obtain the standard value of each load adjustable ability index corresponding to each type of production line; then, based on the standard value of each load adjustable ability index corresponding to each type of production line and the weight vector of each adjustable ability index, calculate the adjustable ability score of each type of production line.

[0119] Since different adjustable ability indexes have different dimensions and value ranges, it is necessary to standardize the production line comprehensive index value. Let the production line comprehensive index value corresponding to the l-th adjustable ability index of the j-th type of production line in the industry be x jl , and its normalized value r jl is calculated according to the following rules:

[0120] For the positive index among the adjustable ability indexes that is positively correlated with the load adjustable ability, such as the maximum adjustable load value, the longest continuous adjustment time, and the response time, the processing formula is expressed as follows:

[0121]

[0122] For the negative indicators in the adjustable ability indicators that are negatively correlated with the load adjustable ability, such as the advance notice time and the restoration operation duration, the processing formula is as follows:

[0123]

[0124] Based on the above formulas (10) - (11), the load characteristic matrix of the industry production line can be constructed, and the formula is as follows:

[0125] R = (r jl ) 3×5 (12)

[0126] Among them, the row vector j = 1, 2, 3 corresponds to three types of production lines: pulping, papermaking, and paper product manufacturing; the column vector l = 1, 2,..., 5 corresponds to 5 adjustable ability indicators.

[0127] Secondly, based on the standard value of each load adjustable ability indicator corresponding to each type of production line and the weight vector of each adjustable ability indicator, calculate the adjustable ability score of each type of production line. The formula is as follows:

[0128]

[0129] Among them, w l represents the weight vector of the l-th load adjustable ability indicator; r jl represents the standard value of the l-th adjustable ability indicator of production line j; S j represents the adjustable ability score of production line j.

[0130] By comparing the magnitudes of the adjustable ability scores of the production lines, the adjustable ability ranking of the three types of production lines, namely pulping, papermaking, and paper product manufacturing, can be obtained, providing a basis for the subsequent overall evaluation of the industry based on the electricity consumption ratio.

[0131] Step S104: Combine the electricity consumption proportions of various types of production lines in the industry to comprehensively evaluate the load adjustable ability of the industry.

[0132] In order to obtain the evaluation result of the overall load adjustable ability of the industry, the embodiments of the present invention need to consider the electricity consumption proportions of each production line in the industry.

[0133] Specifically, the electricity consumption proportion of each type of production line in the industry can be calculated using the annual electricity consumption of the production line. The formula is as follows:

[0134]

[0135] Among them, α j represents the electricity consumption proportion of production line j in the industry; E j represents the annual electricity consumption of production line j corresponding to production line j; j = 1, 2, 3 represents three types of production lines: pulping, papermaking, and paper product manufacturing.

[0136] Further, based on the electricity consumption proportion and adjustable capacity score of each type of production line, the load adjustable capacity score of the industry is calculated, and the formula is as follows:

[0137]

[0138] Among them, S j represents the adjustable capacity score of production line j; α j represents the electricity consumption proportion of production line j in the industry; S represents the load adjustable capacity score of the industry.

[0139] It can be understood that the load adjustable capacity score can be used as a quantitative index to measure the overall load adjustable capacity of the paper-making industry, providing a decision-making basis for the industry to participate in the electricity demand response. In practical applications, a reasonable load adjustable capacity evaluation method for the paper-making industry can accurately quantify the potential of the industry to participate in the demand response, give full play to the load flexibility of paper-making enterprises during peak electricity consumption periods, quickly respond to the grid regulation requirements, improve the demand-side response ability of the power system, and ensure the safe and stable operation of the power grid. In addition, the implementation of the load adjustable capacity evaluation helps to optimize the production plan of the production line. By reasonably arranging the interruptible load, the electricity demand of the enterprise during peak electricity price periods can be reduced, thereby reducing the electricity cost of the enterprise.

[0140] The embodiment of the present invention provides a load adjustable capacity evaluation method. In view of the characteristics of the paper-making industry with dispersed loads and low process correlation, an evaluation idea based on the production line level is innovatively proposed, breaking through the limitation of the traditional method of representing the whole by the characteristics of the main energy-consuming equipment; a multi-level evaluation framework of "equipment-production line-industry" is constructed to systematically evaluate the load adjustable capacity of the industry from micro to macro. Therefore, the present invention uses a standardized mathematical symbol system to define production line indicators, weight coefficients and evaluation parameters. By constructing a multi-dimensional evaluation index system, a systematic mapping mechanism from the equipment layer to the production line layer is established, realizing the analysis of the load characteristics of different production lines, and comprehensively and objectively reflecting the load adjustment potential of the paper-making industry. Through the present invention, through in-depth analysis of the characteristics of the paper-making industry and the design of the corresponding evaluation system, the accurate evaluation of the load adjustable capacity of the industry is realized, providing a reliable technical support and decision-making basis for industrial loads to participate in the electricity demand response, ensuring the effective participation of the industry in the electricity market, and promoting the standardized development of the demand response market.

[0141] Further, as a Figure 1 specific implementation, the embodiment of the present invention provides a load adjustable capacity evaluation system, as Figure 2 shown, the system may include: a data collection module 210, an intermediate calculation module 220, a production line scoring module 230, and an industry scoring module 240.

[0142] The data collection module 210 can be used to collect data related to the evaluation of the load adjustable capacity in the papermaking industry; the data related to the evaluation of the load adjustable capacity includes enterprise basic data and adjustable capacity indicators;

[0143] The intermediate calculation module 220 can be used to perform aggregation calculations on the data related to the evaluation of the load adjustable capacity to obtain the production line comprehensive index values corresponding to each type of production line;

[0144] The production line scoring module 230 can be used to determine the weight values of each adjustable capacity indicator by using the analytic hierarchy process, and calculate the adjustable capacity scores of each type of production line based on the production line comprehensive index values corresponding to each type of production line;

[0145] The industry scoring module 240 can be used to comprehensively evaluate the load adjustable capacity of the industry in combination with the electricity consumption ratios of each type of production line in the industry.

[0146] It should be noted that for other corresponding descriptions of each functional module involved in the load adjustable capacity evaluation system provided in the embodiments of the present invention, reference can be made to Figure 1 the corresponding description of the method shown, which will not be elaborated here.

[0147] Based on the above as Figure 1 shown in the method, correspondingly, the embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the load adjustable capacity evaluation method in any of the above embodiments are implemented.

[0148] Based on the above as Figure 1 shown in the method and the embodiments of the system as Figure 2 shown, the embodiments of the present invention also provide an entity structure diagram of a computer device, as Figure 3 shown, the computer device may include a communication bus, a processor, a memory, and a communication interface, and may also include an input / output interface and a display device. Among them, each functional unit can complete mutual communication through the bus. The memory stores a computer program, and the processor is used to execute the program stored on the memory and execute the steps of the load adjustable capacity evaluation method described in the above embodiments.

[0149] Those skilled in the art can clearly understand that the specific working processes of the above-described system, device, module, and unit can refer to the corresponding processes in the foregoing method embodiments. For the sake of brevity, they will not be elaborated here.

[0150] In addition, each functional unit in the various embodiments of the present invention may be physically independent of each other, or two or more functional units may be integrated together, or all functional units may be integrated in a processing unit. The above-mentioned integrated functional units may be implemented in the form of hardware, or in the form of software or firmware.

[0151] Those of ordinary skill in the art can understand that when the integrated functional unit is implemented in the form of software and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention essentially, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computing device (such as a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present invention when running the instructions. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, and other various media that can store program codes.

[0152] Alternatively, all or part of the steps of implementing the foregoing method embodiments can be completed by hardware related to program instructions (such as a computing device such as a personal computer, a server, or a network device). The program instructions can be stored in a computer-readable storage medium. When the program instructions are executed by the processor of the computing device, the computing device executes all or part of the steps of the method described in the various embodiments of the present invention.

[0153] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that within the spirit and principles of the present invention, it is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the corresponding technical solutions to deviate from the protection scope of the present invention.

Claims

1. A method for evaluating the load adjustable capacity, characterized in that The method includes: Collecting data related to the evaluation of the load adjustable capacity in the paper-making industry; the data related to the evaluation of the load adjustable capacity includes enterprise basic data and adjustable capacity indicators; Performing aggregation calculation on the data related to the evaluation of the load adjustable capacity to obtain the comprehensive index value of each type of production line; Determining the weight values of the adjustable capacity indicators by using the analytic hierarchy process, and calculating the adjustable capacity scores of each type of production line based on the comprehensive index value of each type of production line; Combining the electricity consumption ratios of each type of production line in the industry to comprehensively evaluate the load adjustable capacity of the industry.

2. The method according to claim 1, characterized in that The enterprise basic data includes at least one of the production process type, the composition of production line equipment, the number of equipment, the rated capacity, and the annual electricity consumption of the production line; And / or The adjustable capacity indicators include the maximum adjustable load, the advance notice time, the longest continuous adjustment time, the restoration operation duration, and the response willingness.

3. The method according to claim 2, characterized in that, The performing aggregation calculation on the data related to the evaluation of the load adjustable capacity to obtain the comprehensive index of each type of production line includes: Performing summation calculation on the maximum adjustable loads of all equipment of each type of production line in the enterprise to obtain the maximum adjustable load value of each type of production line in the enterprise, and the formula is expressed as follows: Among them, i represents the i-th enterprise; j represents the j-th type of production line; k represents the k-th device, represents that there are m devices in total on the production line j of enterprise i; represents the maximum adjustable load value of the production line j of enterprise i; represents the maximum adjustable load of the device k on the production line j of enterprise i; And Based on the consistency characteristics of the same type of adjustable ability indicators of all devices on production line j of enterprise i on the same production line, a unified value is adopted for the same type of adjustable ability indicators, denoted as The same type of adjustable ability indicators include advance notice time, longest continuous adjustment time, restoration operation duration, and response willingness; Performing average calculation on the adjustable capacity indicators of each type of production line of different enterprises in the industry to obtain the comprehensive index value of each type of production line, and the formula is expressed as follows: Among them, i represents the i-th enterprise; j represents the j-th type of production line; n represents the number of enterprises in the industry; x j represents the comprehensive production line index value of production line j in the industry; represents the adjustable capacity index value of production line j of enterprise i, including the maximum adjustable load value of production line j of enterprise i and the similar adjustable capacity index value of production line j of enterprise i 4. The method according to claim 3, wherein The determining the weight values of the adjustable capacity indicators by using the analytic hierarchy process includes: Step S1: Determining the relative importance of the adjustable capacity indicators based on expert experience, and constructing a judgment matrix of the criterion layer to the target layer; Step S2: Performing column normalization processing on the judgment matrix, and performing row arithmetic average calculation on the normalized judgment matrix to obtain the weight vector of each adjustable capacity indicator; Step S3: Performing consistency verification on the judgment matrix. If the judgment matrix does not meet the consistency requirement, then readjust the judgment matrix, and repeat to execute Steps S1 to S3 until the judgment matrix meets the consistency requirement.

5. The method according to claim 4, wherein The formula of the judgment matrix is expressed as: where p st represents the criterion B t relative to B s importance, satisfying the following conditions: p st > 0; p ss = 1; The formula of the normalized judgment matrix is expressed as: The performing row arithmetic average calculation on the normalized judgment matrix to obtain the weight vector of each adjustable capacity indicator, and the formula is expressed as: Wherein, w1, w2, w3, w4, and w5 respectively represent the weight vectors of the adjustable capacity indicators.

6. The method according to claim 5, wherein The performing consistency verification on the judgment matrix includes: Calculate the maximum eigenvalue λ of the judgment matrix max , which is expressed by the formula as follows: where P represents the judgment matrix; w represents the weight vector of each adjustable ability index; (Pw) s represents the s-th component of the vector obtained by multiplying P and w; Calculating the consistency index CI, and the formula is expressed as: Introducing the random consistency index RI = 1.12, and calculating the consistency ratio CR, and the formula is expressed as: Judging whether the judgment matrix meets the consistency requirement by using the consistency ratio CR, and the formula is expressed as: Wherein, Q represents the consistency ratio threshold.

7. The method according to claim 5, characterized in that The calculating the adjustable capacity scores of each type of production line based on the comprehensive index value of each type of production line includes: Performing normalization processing on the comprehensive index value of each type of production line to obtain the standard value of each load adjustable capacity indicator corresponding to each type of production line; Based on the standard values of each load adjustable capacity index corresponding to each type of production line and the weight vector of each adjustable capacity index, calculate the adjustable capacity score of each type of production line. The formula is as follows: Among them, w l represents the weight vector of the l-th load adjustable ability index; r jl represents the standard value of the l-th adjustable ability index of production line j; S j represents the adjustable ability score of production line j.

8. The method according to claim 7, wherein Normalize the production line comprehensive index value corresponding to each type of production line to obtain the standard values of each adjustable capacity index corresponding to each type of production line, including: For the positive index among the adjustable capacity indexes that has a positive correlation with the load adjustable capacity, the processing formula is as follows: For the negative index among the adjustable capacity indexes that has a negative correlation with the load adjustable capacity, the processing formula is as follows: Among them, r jl represents the standard value of the l-th adjustable capacity index of production line j; x jl represents the comprehensive production line index value corresponding to the l-th adjustable capacity index of production line j; the positive indicators include the maximum adjustable load value, the longest continuous adjustment time, and the response time; the negative indicators include the advance notice time and the restoration operation duration.

9. The method according to any one of claims 1 to 8, characterized in that, Combined with the electricity consumption proportion of each type of production line in the industry, comprehensively evaluate the load adjustable capacity of the industry, including: Calculate the electricity consumption proportion of each type of production line in the industry using the annual electricity consumption of the production line. The formula is as follows: Among them, α j represents the electricity consumption ratio of production line j in the industry; E j represents the annual electricity consumption of production line j; j = 1, 2, 3 represent three types of production lines: pulping, papermaking, and paper product manufacturing. Based on the electricity consumption proportion and adjustable capacity score of each type of production line, calculate the load adjustable capacity score of the industry. The formula is as follows: Among them, S j represents the adjustable capacity score of production line j; α j represents the electricity consumption proportion of production line j in the industry; S represents the load adjustable capacity score of the industry.

10. A load adjustable capacity evaluation system, characterized in that, The system includes: A data collection module for collecting data related to the evaluation of the load adjustable capacity of the paper-making industry; the data related to the evaluation of the load adjustable capacity includes enterprise basic data and adjustable capacity indexes; An intermediate calculation module for aggregating and calculating the data related to the evaluation of the load adjustable capacity to obtain the production line comprehensive index value corresponding to each type of production line; A production line scoring module for determining the weight values of each adjustable capacity index using the analytic hierarchy process and calculating the adjustable capacity scores of various types of production lines based on the production line comprehensive index value corresponding to each type of production line; An industry scoring module for comprehensively evaluating the load adjustable capacity of the industry in combination with the electricity consumption proportion of each type of production line in the industry.

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