A method, system, device and storage medium for dynamically recommending coal consumption for power supply

Abstract

The present invention discloses a method, system, device and storage medium for dynamically recommending power supply coal consumption, and relates to the technical field of thermal power unit operation optimization, including: processing actual data of monthly power supply coal consumption in the previous n years respectively, and obtaining the minimum value, maximum value and average value of each month's power supply coal consumption; obtaining multiple groups of solutions that meet the annual plan of power supply coal consumption in this year through the first iterative calculation; selecting the optimal solution from multiple groups of solutions that meet the annual plan of power supply coal consumption in this year through the first variance calculation, and obtaining the recommended value of the monthly plan of power supply coal consumption; when the actual value of power supply and power supply coal consumption in the past months of this year deviates from the planned value, the recommended value of the power supply coal consumption plan for the remaining months is automatically adjusted through the second iterative calculation and the second variance calculation, until all operations in the months of this year are completed. The present invention automatically performs monthly plan decomposition and recommendation according to the annual plan, and assists energy-saving specialists in formulating monthly plans.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal power unit operation optimization, and in particular to a method, system, device and storage medium for dynamically recommending power supply coal consumption. Background Art

[0002] When formulating a monthly power supply coal consumption plan, the energy conservation specialists of power plants often roughly set the plans for each month in local spreadsheet software (such as Excel) based on their previous work experience, and then calculate the annual plan. According to the deviation between this plan and the annual plan issued by the group, they manually adjust the plans for each month until the annual plan calculated and summarized is consistent with the annual plan issued by the group or the deviation is very small, and then determine the power supply coal consumption plan for each month. This method relies heavily on the experience of energy conservation specialists, and at the same time, it is necessary to combine production data for auxiliary analysis and continuously adjust the monthly plan to meet the annual plan. The workload is large, and for specialists with less work experience, the accuracy of the monthly plan is difficult to guarantee; after completing the 12-month plan at the beginning of the year, at the end of each month, it is necessary to re-decompose the planned values ​​for subsequent months based on the completion of the actual monthly power supply coal consumption to meet the annual plan, and the workload of manual calculation is large. Summary of the invention

[0003] In view of the above existing problems, the present invention is proposed.

[0004] Therefore, the present invention provides a method, system, device and storage medium for dynamically recommending power supply coal consumption to solve the problem of large manual workload in existing monthly plan formulation methods.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, the present invention provides a method for dynamically recommending power supply coal consumption, comprising:

[0007] Obtain the annual power supply plan, power supply coal consumption plan, monthly power supply plan, and actual data of monthly power supply and monthly power supply coal consumption in the previous n years;

[0008] The actual data of monthly power supply coal consumption in the previous n years are processed respectively to obtain the minimum, maximum and average values ​​of each month's power supply coal consumption;

[0009] Based on the minimum, maximum and average values ​​of coal consumption for power supply in each month, multiple sets of solutions that meet the annual plan for coal consumption for power supply in this year are obtained through the first iteration calculation;

[0010] Through the first variance calculation, the optimal solution is selected from multiple solutions that meet the annual power supply coal consumption plan for this year, and the recommended value of the monthly power supply coal consumption plan is obtained;

[0011] Based on the monthly planned recommended values ​​of power supply coal consumption, when the actual values ​​of power supply and power supply coal consumption in the past months of this year deviate from the planned values, the second iterative calculation and the second variance calculation will be used to automatically adjust the planned recommended values ​​of power supply coal consumption for the remaining months until all operations in this month are completed.

[0012] As a preferred solution of the method for dynamically recommending power supply coal consumption according to the present invention, wherein:

[0013] The first iteration calculation includes establishing constraint conditions and establishing an objective function;

[0014] The constraint conditions include that the monthly planned recommended value of power supply coal consumption this year is within the range defined by historical data;

[0015] The objective function includes the annual planned value of coal consumption for power supply this year It is equal to the result of weighted calculation of the monthly power supply coal consumption plan according to the monthly power supply plan;

[0016] The first iterative calculation also includes taking the average monthly power supply coal consumption from January to December of the previous n years as a starting point, using an iterative algorithm with an iteration step of 0.1 to solve the objective function and obtain m groups of solutions that meet the annual power supply coal consumption plan.

[0017] As a preferred solution of the method for dynamically recommending power supply coal consumption according to the present invention, wherein:

[0018] The first variance calculation comprises the following steps:

[0019] In the m groups of solutions that meet the annual planned value constraint of power supply coal consumption this year, the variances of the m groups of solutions and the average monthly power supply coal consumption from January to December of the previous n years are calculated;

[0020] Compare all initial calculated variances The solution with the smallest variance is selected as the recommended value for the monthly plan of coal consumption for power supply this year.

[0021] As a preferred solution of the method for dynamically recommending power supply coal consumption according to the present invention, wherein:

[0022] The second iteration calculation comprises the following steps:

[0023] Set new constraints for the adjusted planned coal consumption for power supply this year;

[0024] Reconstruct a new objective function, and match the adjusted power supply coal consumption plan value of this year with the actual power supply value of the months that have occurred this year and the adjusted power supply plan value of the remaining months;

[0025] Taking the average monthly coal consumption of power supply corresponding to the remaining months of the previous n years as the starting point, the iterative algorithm is used to solve the new objective function and find p groups of solutions that meet the new constraints.

[0026] As a preferred solution of the method for dynamically recommending power supply coal consumption according to the present invention, wherein:

[0027] The second variance calculation comprises the following steps:

[0028] In the adjusted p-group solution, the variance is calculated by comparing the p-group solution with the average monthly power supply coal consumption of the corresponding remaining months in the previous n years;

[0029] Compare the variances calculated for all adjustment periods The solution with the smallest variance is selected as the recommended value for the adjusted monthly plan of power supply coal consumption.

[0030] As a preferred solution of the method for dynamically recommending power supply coal consumption according to the present invention, wherein:

[0031] The first iterative calculation includes constraints of the first iterative calculation and an objective function of the first iterative calculation;

[0032] The constraint condition of the first iteration calculation is expressed as:

[0033] ,

[0034] in, and Indicates the minimum and maximum coal consumption for power supply in January of the previous n years; and Indicates the minimum and maximum coal consumption for power supply in February of the previous n years, and Indicates the minimum and maximum coal consumption for power supply in December of the previous n years; They represent the recommended coal consumption plan for power supply from January to December of this year;

[0035] The objective function of the first iteration calculation is expressed as:

[0036] ,

[0037] in, It represents the annual plan of power supply of the power plant this year, It represents the annual plan for coal consumption for power supply this year. They represent the power supply plan from January to December of this year respectively;

[0038] As a preferred solution of the method for dynamically recommending power supply coal consumption according to the present invention, wherein:

[0039] The The variance of the group solution and the average monthly coal consumption for power supply from January to December of the previous n years is expressed as:

[0040] ,

[0041] in, represents the total variance of the mth group solution and the average monthly coal consumption for power supply from January to December of the previous n years, They represent the recommended coal consumption plan values ​​for power supply from January to December in the mth group of solutions, They represent the average monthly coal consumption for power supply from January to December of the previous n years.

[0042] As a preferred solution of the method for dynamically recommending power supply coal consumption according to the present invention, wherein:

[0043] The second iterative calculation includes a second iterative calculation of new constraints and a second iterative calculation of a new objective function;

[0044] The second iteration calculates the new objective function as follows:

[0045] ,

[0046] in, and Indicates the minimum and maximum coal consumption for power supply in month y of the previous n years; and Indicates the minimum and maximum coal consumption for power supply in month y+1 of the previous n years, They represent the recommended coal consumption plan for power supply in the current month y of this year and the remaining months thereafter;

[0047] The second iteration calculates the new objective function as follows:

[0048] ,

[0049] in, Respectively represent the current year The power supply in the month before the month, Respectively represent the current year Coal consumption for power supply in the months before the month, Respectively represent the current year The adjusted power supply plan for January and the following months;

[0050] As a preferred solution of the method for dynamically recommending power supply coal consumption according to the present invention, wherein:

[0051] The solution of group p is compared with the previous n years The variance of the average monthly power supply coal consumption from January to December is expressed as:

[0052] ,

[0053] in, Indicates Group solution and previous n years The total variance of the average monthly coal consumption for power supply from January to December, They represent the average monthly coal consumption for power supply from month y to December in the previous n years, Respectively represent This year Recommended values ​​for monthly power supply coal consumption plan from January to December.

[0054] In a second aspect, the present invention provides a power supply coal consumption dynamic recommendation system, comprising:

[0055] The acquisition module is used to obtain the annual power supply plan, power supply coal consumption plan, monthly power supply plan of the power plant this year, and the actual data of monthly power supply and monthly power supply coal consumption in the previous n years;

[0056] The processing module is used to process the actual data of monthly power supply coal consumption in the previous n years to obtain the minimum, maximum and average values ​​of each month's power supply coal consumption;

[0057] An iterative calculation module is used to obtain multiple sets of solutions that meet the annual plan for power supply coal consumption based on the minimum, maximum and average values ​​of the power supply coal consumption of each month through the first iterative calculation;

[0058] The variance calculation module is used to select the optimal solution from multiple solutions that meet the annual power supply coal consumption plan of this year through the first variance calculation, and obtain the recommended value of the monthly power supply coal consumption plan;

[0059] The automatic adjustment module is used to automatically adjust the recommended values ​​of the monthly power supply coal consumption plan based on the recommended values ​​of the power supply coal consumption in the past months of this year through the second iterative calculation and the second variance calculation, when there is a deviation between the actual values ​​and the planned values ​​of the power supply coal consumption in the past months of this year, until all the operations in the months of this year are completed.

[0060] In a third aspect, the present invention provides a computing device, comprising:

[0061] Memory, used to store programs;

[0062] A processor is used to execute the computer executable instructions, which, when executed by the processor, implement the steps of the method for dynamically recommending power supply coal consumption.

[0063] In a fourth aspect, the present invention provides a computer-readable storage medium, comprising: when the program is executed by a processor, the steps of implementing the method for dynamically recommending power supply coal consumption are implemented.

[0064] Beneficial effects of the invention: This patent proposes a method for dynamically recommending power supply coal consumption, which automatically decomposes and recommends monthly plans based on the annual plan, assists energy-saving specialists in formulating monthly plans, and has multiple solutions to meet the requirements when calculating the recommended value of the monthly plan for power supply coal consumption. The optimal solution is obtained by calculating the variance, so that the recommended value of the monthly plan is more in line with the actual operation of the power plant, avoiding the situation where the recommended value is inconsistent with the actual value trend of the power plant in previous years. As the months increase, the subsequent monthly plan values ​​need to be continuously adjusted. The above method is integrated into the system, and the adjustment calculation of the recommended value of the monthly plan is automatically performed without human intervention. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0066] Figure 1 A basic flow chart of a method for dynamically recommending coal consumption for power supply provided by an embodiment of the present invention;

[0067] Figure 2 A power supply coal consumption monthly plan recommended value diagram of a power supply coal consumption dynamic recommendation method provided by an embodiment of the present invention;

[0068] Figure 3 A schematic diagram of a model of a method for dynamically recommending coal consumption for power supply provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0069] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0070] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0071] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0072] Example 1, reference Figure 1 and Figure 3 , is an embodiment of the present invention, which provides a method for dynamically recommending power supply coal consumption, such as Figure 1 As shown, the following steps are included:

[0073] S1: Obtain the annual power supply plan, power supply coal consumption plan, monthly power supply plan of the power plant this year, and the actual data of monthly power supply and monthly power supply coal consumption in the previous n years;

[0074] In the embodiment of the present invention, the annual plans of power supply and power supply coal consumption of the power plant are obtained from the annual plan of economic indicators issued by the group, which are respectively , ; From the power supply plan table submitted by the power plant to the group, obtain the power supply plan for January to December, which are .

[0075] In the embodiment of the present invention, monthly historical data of economic indicators for the most recent n years (n≥3, excluding the current year) are obtained from the plant-level monitoring information system (SIS) of the power plant, including power supply and power supply coal consumption.

[0076] S2: Process the actual data of monthly power supply coal consumption in the previous n years to obtain the minimum, maximum and average value of each month's power supply coal consumption;

[0077] In the embodiment of the present invention, the data of power supply coal consumption from January to December of the previous n years are arranged in ascending order by month. The power supply coal consumption from January to December is arranged in ascending order respectively, and the minimum and maximum values ​​of power supply coal consumption are obtained in each month. The minimum and maximum values ​​of power supply coal consumption in January are , The minimum and maximum coal consumption for power supply in February are , , and so on, the minimum and maximum coal consumption for power supply in December are , .

[0078] In the embodiment of the present invention, the average monthly coal consumption for power supply from January to December of the previous n years is calculated, and the average coal consumption for power supply from January to December of the previous n years is obtained. .

[0079] S3: Based on the minimum, maximum and average values ​​of coal consumption for power supply in each month, multiple solutions that meet the annual plan for coal consumption for power supply in this year are obtained through the first iterative calculation;

[0080] In the embodiment of the present invention, it is assumed that the recommended values ​​of the power supply coal consumption plan from January to December of the current year are , the constraints of the first iteration calculation are expressed as:

[0081] ,

[0082] In the embodiment of the present invention, the objective function of the first iterative calculation is expressed as:

[0083] ,

[0084] In the embodiment of the present invention, the above equation is solved by iterative calculation (iteration step size is 0.1). m (m≥1) groups of solutions satisfying this equation can be obtained: (b g1x 、b g1x … b g1x )=(b g11 、b g21 … b g121 ) or (b g12 、b g22 … b g122 ) or ... or (b g1m 、b g2m … b g12m ).

[0085] S4: Through the first variance calculation, the optimal solution is selected from multiple solutions that meet the annual power supply coal consumption plan for this year, and the recommended value of the monthly power supply coal consumption plan is obtained;

[0086] In the embodiment of the present invention, the variances of the m groups of solutions and the average value of the power supply coal consumption are calculated respectively:

[0087] ,get , , compare the sizes of all variances, and the solution with the smallest variance is the recommended value of the power supply coal consumption plan from January to December. The energy conservation specialist formulates the planned value of power supply coal consumption from January to December based on the recommended value.

[0088] It should be noted that the first variance calculation is performed at the beginning of the year planning stage. The purpose is to select the solution with the smallest deviation from the historical average power supply coal consumption value from multiple solutions that meet the annual power supply coal consumption plan constraints for this year as the preliminary monthly plan recommendation value. At this time, all 12-month plan values ​​( to ) are taken into account, so the variance calculation covers the data of all months.

[0089] S5: Based on the monthly planned recommended values ​​of power supply coal consumption, when the actual values ​​of power supply and power supply coal consumption in the past months of this year deviate from the planned values, the second iterative calculation and the second variance calculation are used to automatically adjust the recommended values ​​of power supply coal consumption in the remaining months until all the months of this year are completed.

[0090] In an embodiment of the present invention, in any month y (1<y<12) of the year, when there is a deviation between the actual values ​​of power supply and power supply coal consumption in the months before month y and the planned values, in order to complete the power supply coal consumption plan for the whole year, the planned power supply coal consumption values ​​for subsequent months need to be adjusted.

[0091] In the embodiment of the present invention, the monthly historical data of economic indicators before month y of this year are obtained through the SIS of the power plant, including power supply, power supply coal consumption, and the adjusted power supply plan value of month y and the following months. The power supply of the months before month y of this year is W gs1 … W gs(y-1) , the coal consumption for power supply is b gs1 … b gs(y-1) The adjusted power supply plans for month y and the following months are W gpy , W gp(y+1) …W gp12 .

[0092] In the embodiment of the present invention, it is assumed that the planned coal consumption values ​​for power supply in month y and the following months are b gy , b g(y+1) …b g12 , the second iteration calculates the new constraints as:

[0093] ,

[0094] ,

[0095] In the embodiment of the present invention, the second iteration calculates the new objective function as follows:

[0096] ,

[0097] In the embodiment of the present invention, iterative calculation (iteration step size is 0.1) is used to solve the power supply coal consumption plan value b for month y and the following months in the above equation: gy , b g(y+1) … b g12 . We can obtain p (p ≥ 1) groups of solutions that satisfy this equation: (b gy , b g(y+1) … b g12 )=(b y1、b (y+1)1 … b 121 ) or (b y2 、b (y+1)2 … b 122 ) or ... or (b yp 、b (y+1)p … b 12p ).

[0098] In the embodiment of the present invention, the variances of the p group solutions and the average value of the coal consumption for power supply from month y to December in the previous n years are calculated respectively:

[0099] ,

[0100] get , , , , compare the sizes of all variances, and the solution corresponding to the smallest variance is the recommended value of the updated power supply coal consumption plan for month y and subsequent months.

[0101] In the embodiment of the present invention, the second variance calculation occurs in the adjustment stage of the current year. At this time, the actual data of power supply coal consumption for the past months of the current year are available, and there may be deviations from the original plan. The focus of the second variance calculation is to adjust the remaining months ( to ) to ensure the realization of the annual plan goals. Although the variance calculation formula structure is the same, since the adjustment stage only involves the months that have not occurred, in the actual calculation, only the deviation of the planned values ​​of month y and later months from the corresponding monthly averages of the previous n years is considered, thus determining the optimization direction of the subsequent plan.

[0102] In the embodiment of the present invention, as the months of the year increase, it is necessary to continuously adjust the planned power supply coal consumption values ​​of subsequent months, and repeat S1-S5 until December.

[0103] It should be noted that the first iteration is at the beginning of the year planning stage, the goal is to develop a preliminary monthly plan based on historical data to ensure the achievement of the annual plan goals. The second iteration occurs during the year, at which time there are actual data on power supply coal consumption and power supply for the months that have passed, and there may be deviations from the original plan. Therefore, the objective function of the second iteration needs to take these actual deviations into account and adjust the planned values ​​for the remaining months to ensure that the annual plan goals can still be achieved.

[0104] It should be noted that the first iteration focused more on forecasts based on historical data, while the second iteration focused on dynamically adjusting the plan based on actual operating conditions, ensuring the flexibility and adaptability of the plan while still achieving the annual goals. This dynamic adjustment strategy ensures the continuity and effectiveness of the plan, and maintains the robustness of the plan and the consistency of goals even in the face of uncertainty.

[0105] This embodiment also provides a power supply coal consumption dynamic recommendation system, such as Figure 3 As shown, including:

[0106] The acquisition module 100 is used to obtain the annual power supply plan, the annual power supply coal consumption plan, the monthly power supply plan, and the actual data of the monthly power supply and monthly power supply coal consumption in the previous n years;

[0107] The processing module 200 is used to process the actual data of monthly power supply coal consumption in the previous n years to obtain the minimum value, maximum value and average value of each monthly power supply coal consumption;

[0108] Iterative calculation module 300, used for obtaining multiple groups of solutions that meet the annual plan of power supply coal consumption for this year through the first iterative calculation based on the minimum value, maximum value and average value of power supply coal consumption in each month;

[0109] The variance calculation module 400 is used to select the optimal solution from multiple solutions that meet the annual power supply coal consumption plan of this year through the first variance calculation, and obtain the recommended value of the monthly power supply coal consumption plan;

[0110] The automatic adjustment module 500 is used to automatically adjust the recommended values ​​of the monthly power supply coal consumption plan for the remaining months through the second iterative calculation and the second variance calculation based on the recommended values ​​of the monthly power supply coal consumption plan, when there is a deviation between the actual values ​​of the power supply and power supply coal consumption in the past months of this year and the planned values, until all the operations in the months of this year are completed.

[0111] Furthermore, it also includes:

[0112] Memory, used to store programs;

[0113] A processor is used to load the program to execute the method for dynamically recommending power supply coal consumption.

[0114] This embodiment also provides a computer-readable storage medium storing a program, which, when executed by a processor, implements the method for dynamically recommending coal consumption for power supply.

[0115] The storage medium proposed in this embodiment and the method for dynamically recommending power supply coal consumption proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0116] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ReadOnly, Memory, ROM), random access memory (RandomAccess Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various embodiments of the present invention.

[0117] Example 2, see Table 1-Table 8 and Figure 2 , which is an embodiment of the present invention, provides a method for dynamically recommending coal consumption for power supply. In order to verify its beneficial effects, scientific demonstration is carried out through specific implementation methods and implementation effects.

[0118] The specific embodiments are as follows:

[0119] Taking a power plant with 2×300MW subcritical heating units in operation as an example, the group issued the annual power supply and coal consumption plan for the plant in 2024, as well as the power supply plan for January to December reported by the power plant, as shown in Table 1:

[0120] Table 1 Power supply and power supply coal consumption plan data table

[0121] ,

[0122] The actual monthly data of power supply and power supply coal consumption of the power plant in the past three years are obtained through the SIS system, as shown in Table 2:

[0123] Table 2 Monthly data of power supply and coal consumption

[0124] ,

[0125] The monthly data of power supply coal consumption for three years were processed to obtain the minimum, maximum and average values ​​for each month, as shown in Table 3:

[0126] Table 3 Monthly data of coal consumption in different dimensions for power supply

[0127] ,

[0128] By iteratively calculating according to the method of the present invention, multiple groups of solutions that meet the annual plan of power supply coal consumption can be obtained, as shown in Table 4:

[0129] Table 4 Monthly coal consumption recommended values ​​for power supply

[0130] ,

[0131] According to the method of the present invention, the variance is calculated to obtain the recommended value of power supply coal consumption from January to December with the minimum variance, as shown in Table 5 and Figure 2 As shown:

[0132] Table 5 Recommended values ​​for monthly power supply coal consumption plan

[0133] ,

[0134] By July 2024, the actual values ​​of power supply and coal consumption from January to June 2024, as well as the adjusted power supply plan values ​​from July to December 2024, are obtained from SIS, as shown in Table 6:

[0135] Table 6 Actual power supply and coal consumption from January to June and the adjusted power supply plan from July to December

[0136] ,

[0137] According to the method described in the present invention, the planned power supply coal consumption values ​​from July to December are iteratively calculated again, and multiple groups of solutions that meet the conditions can be obtained, as shown in Table 7:

[0138] Table 7 Recommended values ​​for coal consumption for power supply from July to December

[0139] ,

[0140] According to the method described in the present invention, the variance is calculated to obtain the recommended value of power supply coal consumption from July to December with the minimum variance, as shown in Table 8:

[0141] Table 8 Recommended coal consumption plan for power supply from July to December

[0142] ,

[0143] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for dynamically recommending coal consumption for power supply, characterized in that: include: Obtain the annual power supply plan, power supply coal consumption plan, monthly power supply plan of the power plant this year, and the actual data of monthly power supply and monthly power supply coal consumption in the previous n years; The actual data of monthly power supply coal consumption in the previous n years are processed respectively to obtain the minimum, maximum and average values ​​of each month's power supply coal consumption; Based on the minimum, maximum and average values ​​of coal consumption for power supply in each month, multiple sets of solutions that meet the annual plan for coal consumption for power supply in this year are obtained through the first iteration calculation; Through the first variance calculation, the optimal solution is selected from multiple solutions that meet the annual power supply coal consumption plan for this year, and the recommended value of the monthly power supply coal consumption plan is obtained; Based on the monthly planned recommended value of power supply coal consumption, when the actual values ​​of power supply and power supply coal consumption in the past months of this year deviate from the planned values, the second iterative calculation and the second variance calculation are used to automatically adjust the planned recommended value of power supply coal consumption in the remaining months until all operations in the months of this year are completed; The first iterative calculation includes constraints of the first iterative calculation and an objective function of the first iterative calculation; The constraint condition of the first iteration calculation is expressed as: b g1min -2≤b g1x ≤b g1max ,b g2min -2≤b g2x ≤b g2max ,…,b g12min -2≤b g12x ≤b g12max Among them, b g1min and b g1max represents the minimum and maximum coal consumption for power supply in January of the previous n years; b g2min and b g2max represents the minimum and maximum coal consumption for power supply in February of the previous n years, b g12min and b g12max represents the minimum and maximum coal consumption for power supply in December of the previous n years; b g1x ,b g2x ,…,b g12x They represent the recommended coal consumption plan for power supply from January to December of this year; The objective function of the first iteration calculation is expressed as: IN g年 ×b g年 =In g1 ×b g1x +W g2 ×b g2x +,…,+In g12 ×b g12x Among them, W g年 represents the annual plan for the power supply of the power plant this year, b g年 represents the annual plan for power supply coal consumption this year, W g1 ,W g2 ,…,W g12 They respectively represent the power supply plans from January to December of this year.

2. The method for dynamically recommending coal consumption for power supply according to claim 1, characterized in that: The first iteration calculation includes establishing constraint conditions and establishing an objective function; The constraint conditions include that the monthly planned recommended value of power supply coal consumption this year is within the range defined by historical data; The objective function includes the annual planned value b of power supply coal consumption for this year g年 It is equal to the result of weighted calculation of the monthly power supply coal consumption plan according to the monthly power supply plan; The first iterative calculation also includes taking the average monthly power supply coal consumption from January to December of the previous n years as a starting point, using an iterative algorithm with an iteration step of 0.1 to solve the objective function and obtain m groups of solutions that meet the annual power supply coal consumption plan.

3. The method for dynamically recommending coal consumption for power supply according to claim 1 or 2, characterized in that: The first variance calculation comprises the following steps: In the m groups of solutions that meet the annual planned value constraint of power supply coal consumption this year, the variances of the m groups of solutions and the average monthly power supply coal consumption from January to December of the previous n years are calculated; Compare all initial calculated variances The solution with the smallest variance is selected as the recommended value for the monthly plan of coal consumption for power supply this year.

4. The method for dynamically recommending coal consumption for power supply according to claim 3, characterized in that: The second iteration calculation comprises the following steps: Set new constraints for the adjusted planned coal consumption for power supply this year; Reconstruct a new objective function, and match the adjusted power supply coal consumption plan value of this year with the actual power supply value of the months that have occurred this year and the adjusted power supply plan value of the remaining months; Taking the average monthly coal consumption of power supply corresponding to the remaining months of the previous n years as the starting point, the iterative algorithm is used to solve the new objective function and find p groups of solutions that meet the new constraints.

5. The method for dynamically recommending coal consumption for power supply according to claim 4, characterized in that: The second variance calculation comprises the following steps: In the adjusted p-group solution, the variance is calculated by comparing the p-group solution with the average monthly power supply coal consumption of the corresponding remaining months in the previous n years; Compare the variances calculated for all adjustment periods The solution with the smallest variance is selected as the recommended value for the adjusted monthly plan of power supply coal consumption.

6. The method for dynamically recommending coal consumption for power supply according to claim 5, characterized in that: The variance calculated by combining the m-group solution with the average monthly coal consumption for power supply from January to December of the previous n years is expressed as: in, represents the total variance of the mth group solution and the average monthly coal consumption for power supply from January to December of the previous n years, b g1m ,b g2m ,…,b g12m They represent the recommended coal consumption plan values ​​for power supply from January to December in the mth group of solutions, They represent the average monthly coal consumption for power supply from January to December of the previous n years.

7. The method for dynamically recommending coal consumption for power supply according to claim 6, characterized in that: The second iterative calculation includes a second iterative calculation of new constraints and a second iterative calculation of a new objective function; The second iteration calculates the new constraint condition as follows: b gymin -2≤b gy ≤b gymax ,b g(y+1)min -2≤b g(y+1) ≤b g(y+1)max ,…, b g12min -2≤b g12 ≤b g12max Among them, b gymin and b gymax Indicates the minimum and maximum coal consumption for power supply in month y of the previous n years; b g(y+1)min and b g(y+1)max represents the minimum and maximum coal consumption for power supply in month y+1 of the previous n years, b gy ,b g(y+1) ,…,b g12 They represent the recommended coal consumption plan for power supply in the current month y of this year and the remaining months thereafter; The second iteration calculates the new objective function as follows: IN g年 ×b g年 =In gs1 ×b gs1 +,…,+In gs(y-1) ×b gs(y-1) +W gpy ×b gy +W gp(y+1) ×b g(y+1) +,…,+In gp12 ×b g12 Among them, W gs1 ,…,W gs(y-1) They represent the power supply in the months before the current month y of this year, and b gs1 ,…,b gs(y-1) They represent the coal consumption for power supply in the months before the current month y of this year, W gpy ,…,W gp(y+1) ,W gp12 They respectively represent the adjusted power supply plans for the current month y of this year and the following months.

8. The method for dynamically recommending coal consumption for power supply according to claim 7, characterized in that: The variance calculated by combining the solution of group p with the average monthly coal consumption for power supply from month y to December of the previous n years is expressed as: in, represents the total variance of the solution of group p and the average monthly coal consumption for power supply from month y to December in the previous n years, They represent the average monthly coal consumption for power supply from month y to December in the previous n years, and b yp ,b (y+1)p ,…,b 12p They respectively represent the recommended values ​​of monthly power supply coal consumption plan from month y to December of this year in the solution of the pth group.

9. A system using the method for dynamically recommending power supply coal consumption according to claim 1, characterized in that: The acquisition module (100) is used to obtain the annual power supply plan, the annual power supply coal consumption plan, the monthly power supply plan, and the actual data of the monthly power supply and monthly power supply coal consumption in the previous n years; A processing module (200) is used to process actual data of monthly power supply coal consumption in the previous n years to obtain the minimum value, maximum value and average value of each monthly power supply coal consumption; An iterative calculation module (300) is used to obtain multiple groups of solutions that meet the annual plan of power supply coal consumption for this year through a first iterative calculation based on the minimum value, maximum value and average value of the power supply coal consumption in each month; A variance calculation module (400) is used to select the optimal solution from multiple solutions that meet the annual power supply coal consumption plan for this year through a first variance calculation, and obtain a recommended value for the monthly power supply coal consumption plan; and The automatic adjustment module (500) is used to automatically adjust the power supply coal consumption recommended value for the remaining months based on the monthly power supply coal consumption plan recommendation value, when the actual value of the power supply amount and power supply coal consumption for the past months of this year deviates from the planned value, through the second iteration calculation and the second variance calculation, until all the operations for the months of this year are completed; A monthly power supply coal consumption optimization module, used for the first iterative calculation, including constraints of the first iterative calculation and an objective function of the first iterative calculation; The constraint condition of the first iteration calculation is expressed as: b g1min -2≤b g1x ≤b g1max ,b g2min -2≤b g2x ≤b g2max ,…,b g12min -2≤b g12x ≤b g12max Among them, b g1min and b g1max represents the minimum and maximum coal consumption for power supply in January of the previous n years; b g2min and b g2max represents the minimum and maximum coal consumption for power supply in February of the previous n years, b g12min and b g12max represents the minimum and maximum coal consumption for power supply in December of the previous n years; b g1x ,b g2x ,…,b g12x They represent the recommended coal consumption plan for power supply from January to December of this year; The objective function of the first iteration calculation is expressed as: IN g年 ×b g年 =In g1 ×b g1x +W g2 ×b g2x +,…,+In g12 ×b g12x Among them, W g年 represents the annual plan for the power supply of the power plant this year, b g年 represents the annual plan for power supply coal consumption this year, W g1 ,W g2 ,…,W g12 They respectively represent the power supply plans from January to December of this year.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method for dynamically recommending power supply coal consumption as described in any one of claims 1 to 8 are implemented.

11. A computer-readable storage medium storing a program, characterized in that: When the program is executed by the processor, the steps of the method for dynamically recommending coal consumption for power supply as described in any one of claims 1 to 8 are implemented.

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