Coal-electricity integrated enterprise production coal scheduling method and device, electronic equipment and computer readable storage medium

Abstract

The invention relates to a coal-electricity integrated enterprise production coal scheduling method and a coal-electricity integrated enterprise production coal scheduling device. The coal-electricity integrated enterprise production coal scheduling method comprises the following steps: calculating a coal quantity difference value between an initial supply quantity and an inventory quantity of coal in a next time period; and calculating the similarity between the coal quantity difference value and the historical coal quantity difference value sequence in the historical coal quantity difference value sequence-coal blending scheme data set, and determining the actual supply quantity of the next time period according to the relationship between the similarity and a threshold value. According to the method, an enterprise can better judge whether the initial coal supply amount needs to be adjusted in the current supply environment or not, supply decisions can be adjusted on the basis of previous experience, the scheduling process is more intelligent on the basis of data, uncertainty caused by human intervention is reduced, and excessive or insufficient supply caused by uncertain factors is avoided; the overall operation efficiency of a coal-electricity integrated enterprise is improved, and meanwhile reasonable utilization of energy and dynamic balance of supply and demand are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of coal distribution and scheduling, and particularly to a coal scheduling method and device for the production of coal-electricity integrated enterprises, an electronic device, and a computer-readable storage medium. Background Art

[0002] Coal-electricity integration refers to the process in which coal enterprises carry out the mining, washing and processing, transportation, and distribution of coal products along the industrial chain and supply them to downstream power generation enterprises; while power generation enterprises, for the purposes of cost reduction and resource supply maintenance, form a vertical integration relationship of mutual support, cooperation, and reliance with coal production enterprises. A coal-electricity integrated enterprise refers to an enterprise that has the ability to sell both coal and electricity products. The advantages of coal-electricity integration lie in the ability to achieve comprehensive resource utilization, cost control, and ensure raw material supply. Through coal-electricity integration, enterprises can achieve resource sharing and cost optimization in both the coal and electricity links, thereby improving the overall economic efficiency.

[0003] In the prior art, coal-electricity integrated enterprises lack intelligent analysis means for historical data in the production scheduling process, resulting in the difficulty for enterprises to make full use of past production experience for effective production adjustment. This defect makes it impossible for enterprises to respond accurately when facing changing electricity and coal demand, often leading to overproduction or insufficient supply. Due to the lack of intelligent analysis and regulation mechanisms, enterprises cannot judge whether the current production plan is reasonable based on historical data, thus increasing the risk of overproduction or underproduction and affecting the overall operation efficiency and the effectiveness of energy utilization. Summary of the Invention

[0004] Based on this, the purpose of the present invention is to provide a coal scheduling method for coal-electricity integrated enterprises, aiming to solve the problem in the prior art that coal-electricity integrated enterprises lack intelligent analysis and real-time adjustment based on historical data in coal production scheduling, resulting in overproduction or insufficient supply, affecting power generation operation efficiency and reducing energy utilization rate.

[0005] A coal scheduling method for coal-electricity integrated enterprises includes the following steps:

[0006] S10 Obtain the demand for various types of coal in the next time period at each coal-using end, and calculate the initial supply of various types of coal in the next time period;

[0007] S20 Obtain the inventory of various types of coal, calculate the coal quantity difference between the inventory and the initial supply of various types of coal in the next time period, and obtain a coal quantity difference sequence;

[0008] S30 Obtain a historical coal quantity difference sequence - coal blending plan data set, calculate the similarity between the coal quantity difference sequence and each group of historical coal quantity difference sequences, and obtain a similarity sequence;

[0009] S40 Determine whether the maximum similarity in the similarity sequence is greater than or equal to the similarity threshold:

[0010] If yes, use the historical coal quantity difference sequence corresponding to the maximum similarity - the actual supply quantity in the coal blending plan as the actual supply quantity for the next time period;

[0011] If no, collect the initial supply quantity and the final coal consumption quantity of each type of coal in the current time period, calculate the consumption rate of each type of coal, and correct the historical coal quantity difference sequence corresponding to the maximum similarity - the actual supply quantity in the coal blending plan according to the consumption rate, and use the corrected actual supply quantity as the actual supply quantity for the next time period.

[0012] Further, the initial supply quantity of each type of coal for the next time period satisfies:

[0013]

[0014] In the formula: represents the initial supply quantity of the i - th type of coal for the next time period, represents the quantity of the i - th type of coal required by the j - th coal - using end for the next time period, i ∈ (1, n), j ∈ (1, m), where n represents there are n types of coal in total, and j represents there are j user ends in total;

[0015] The coal quantity difference of each type of coal satisfies:

[0016]

[0017] In the formula: ΔN i represents the coal quantity difference of the i - th type of coal, represents the inventory of the i - th type of coal, represents the initial supply quantity of the i - th type of coal for the next time period.

[0018] Further, the similarity between the coal quantity difference sequence and each group of historical coal quantity difference sequences satisfies:

[0019] s k = 1 / (1 + d k )

[0020] where s k represents the similarity between the coal quantity difference sequence and the k - th group of historical coal quantity difference sequences, and d k represents the Euclidean distance between the coal quantity difference sequence and the k - th group of historical coal quantity difference sequences;

[0021] The similarity sequence s is expressed as: s = [s 1 , s 2 ,..., s k ,..., s M ,

[0022] Among them, k represents the k-th group in the historical coal quantity difference sequence - coal blending plan, and M represents the total number of groups in the historical coal quantity difference sequence - coal blending plan, which is M groups.

[0023] Furthermore, the coal quantity difference sequence ΔN is expressed as: ΔN = [ΔN 1 , ΔN 2 ,..., ΔN i ,..., ΔN n ;

[0024] The historical coal quantity difference sequence ΔD is expressed as:

[0025]

[0026] Among them, the k-th group of the historical coal quantity difference sequence ΔD k is expressed as:

[0027] ΔD k = [ΔD k-1 , ΔD k-2 ,..., ΔD k-i ,..., ΔD k-n ;

[0028] Then the Euclidean distance between the coal quantity difference sequence ΔN and the k-th group of the historical coal quantity difference sequence ΔD k satisfies:

[0029]

[0030] In the formula: ΔN i represents the coal quantity difference corresponding to the i-th type of coal in the coal quantity difference sequence ΔN, and ΔD k-i represents the coal quantity difference corresponding to the i-th type of coal in the k-th group of the historical coal quantity difference sequence.

[0031] Furthermore, the coal quantity difference sequence ΔN is expressed as: ΔN = [ΔN 1 , ΔN 2 ,..., ΔN i ,..., ΔN n ;

[0032] The historical coal quantity difference sequence ΔD is expressed as:

[0033]

[0034] Among them, the k-th group of the historical coal quantity difference sequence ΔD k is expressed as:

[0035] ΔD k = [ΔD k-1 , ΔD k-2 ,..., ΔD k-i,..., ΔD k-n ;

[0036] Then the Euclidean distance between the coal quantity difference sequence ΔN and the k-th group of historical coal quantity difference sequences ΔD k satisfies:

[0037]

[0038] In the formula: ΔN i represents the coal quantity difference corresponding to the i-th type of coal in the coal quantity difference sequence ΔN, and ΔD k-i represents the coal quantity difference corresponding to the i-th type of coal in the k-th group of historical coal quantity difference sequences, and ω i represents the weight coefficient corresponding to the i-th type of coal.

[0039] Furthermore, the consumption rates of various types of coal satisfy:

[0040]

[0041] In the formula, represents the consumption rate of the i-th type of coal, represents the initial supply quantity of the i-th type of coal at the current time period, represents the final coal consumption quantity of the i-th type of coal at the current time period.

[0042] Furthermore, the steps to correct the coal blending plan in the historical coal quantity difference sequence - coal blending plan corresponding to the maximum similarity according to the consumption rate are as follows:

[0043] Determine the consumption rates of various types of coal and their corresponding consumption rate intervals:

[0044] If then use the first adjustment coefficient α i-1 to correct the actual supply quantity of this type of coal in the historical coal quantity difference sequence - coal blending plan corresponding to the maximum similarity , and the corrected actual supply quantity of this type of coal satisfies:

[0045]

[0046] If then use the second adjustment coefficient α i-2 to correct the actual supply quantity of this type of coal in the historical coal quantity difference sequence - coal blending plan corresponding to the maximum similarity , and the corrected actual supply quantity of this type of coal satisfies:

[0047]

[0048] If then use the initial supply quantity at the current time period as the actual supply quantity for the next time period;

[0049] If then the second adjustment coefficient α i-2 is used to correct the historical coal quantity difference sequence corresponding to the maximum similarity value - the actual supply quantity of this type of coal in the coal blending plan The corrected actual supply quantity of this type of coal satisfies:

[0050]

[0051] If then the first adjustment coefficient α i-1 is used to correct the historical coal quantity difference sequence corresponding to the maximum similarity value - the actual supply quantity of this type of coal in the coal blending plan The corrected actual supply quantity of this type of coal satisfies:

[0052]

[0053] wherein, the first adjustment coefficient α i-1 > the second adjustment coefficient α i-2 ; ΔR i is the preset allowable consumption rate fluctuation value of the i-th type of coal.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] 1) By calculating the coal quantity difference between the initial supply quantity of the next time period of coal and the inventory, calculating the similarity between the coal quantity difference and the historical coal quantity difference sequence in the historical coal quantity difference sequence - coal blending plan dataset, and determining the actual supply quantity of the next time period through the relationship between the similarity and the threshold, it is convenient for enterprises to better judge whether it is necessary to adjust the initial coal supply quantity under the current supply environment. Enterprises can adjust the supply decision based on past experience, making the dispatching process more intelligent based on data, reducing the uncertainty brought by human intervention, and avoiding supply surplus or shortage caused by uncertain factors; improving the overall operation efficiency of coal-electricity integrated enterprises, and at the same time ensuring the reasonable utilization of energy and the dynamic balance of supply and demand;

[0056] 2) By considering the weights of various types of coal when calculating the Euclidean distance between the coal quantity differences of various types of coal and the historical coal quantity differences, it is more conducive to reasonably measuring the distance between the demand for various types of coal at the next time period of each coal consumption end and the historical samples, finding the most reasonable coal blending plan, further improving the scientificity of coal blending, and improving the overall operation efficiency of coal-electricity integrated enterprises and the effectiveness of energy utilization;

[0057] 3) Through the preset consumption rate intervals and different adjustment coefficients corresponding to each interval, flexible regulation can be carried out according to actual production needs, avoiding resource waste or insufficient supply. At the same time, the hierarchical adjustment mechanism can effectively balance the coal supply and demand, improve the production efficiency and resource utilization rate of enterprises, and reduce the operating costs.

[0058] Meanwhile, the present invention also provides a coal scheduling device for a coal-electricity integrated enterprise, including a coal initial supply quantity calculation unit, a coal quantity difference calculation unit, a coal quantity difference similarity calculation unit, and a coal actual supply quantity determination unit:

[0059] The coal initial supply quantity calculation unit is used to obtain the demand for various types of coal in the next time period at each coal-consuming end and calculate the initial supply quantity of various types of coal in the next time period;

[0060] The coal quantity difference calculation unit is used to obtain the inventory of various types of coal and calculate the coal quantity difference between the inventory and the initial supply quantity of various types of coal in the next time period, obtaining a coal quantity difference sequence;

[0061] The coal quantity difference similarity calculation unit obtains a historical coal quantity difference sequence - coal blending plan dataset, calculates the similarity between the coal quantity difference sequence and each group of historical coal quantity difference sequences, and obtains a similarity sequence;

[0062] The coal actual supply quantity determination unit is used to determine whether the maximum similarity in the similarity sequence is greater than or equal to the similarity threshold:

[0063] If so, the actual supply quantity in the historical coal quantity difference sequence - coal blending plan corresponding to the maximum similarity is used as the actual supply quantity in the next time period;

[0064] If not, the initial supply quantity and the final coal consumption quantity in the current time period of various types of coal are collected, the consumption rate of various types of coal is calculated, and the actual supply quantity in the historical coal quantity difference sequence - coal blending plan corresponding to the maximum similarity is corrected according to the consumption rate, and the corrected actual supply quantity is used as the actual supply quantity in the next time period.

[0065] The beneficial effects of the coal scheduling device for a coal-electricity integrated enterprise proposed by the present invention are the same as those of the above-mentioned coal scheduling method for a coal-electricity integrated enterprise, and will not be elaborated here.

[0066] Meanwhile, the present invention also provides an electronic device, including:

[0067] One or more processors;

[0068] A memory for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the coal scheduling method for a coal-electricity integrated enterprise described in any one of the above.

[0069] Meanwhile, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the coal scheduling method for the production of coal-electricity integrated enterprises described in any one of the above is implemented.

[0070] For better understanding and implementation, the present invention will be described in detail below with reference to the accompanying drawings. Description of the Drawings

[0071] Figure 1 It is a schematic diagram of the coal scheduling device for the production of coal-electricity integrated enterprises in the electronic device of the present invention;

[0072] Figure 2 It is a schematic flowchart of the coal scheduling method for the production of coal-electricity integrated enterprises of the present invention. Detailed Embodiments

[0073] Next, the technical solutions of the present invention will be clearly and completely described in conjunction with the drawings of the embodiments of the present invention.

[0074] To solve the existing problems, the present invention proposes a coal scheduling device for the production of coal-electricity integrated enterprises. The coal scheduling device for production includes a coal scheduling method for production. The coal scheduling method for production calculates the difference between the initial supply volume of coal in the next period and the inventory volume of coal, calculates the similarity between the difference in coal volume and the historical difference sequence of coal volume - the historical difference sequence of coal blending plan data set, and determines the actual supply volume in the next period based on the relationship between the similarity and the threshold, which is convenient for enterprises to better judge whether it is necessary to adjust the initial supply volume of coal under the current supply environment, and can adjust the supply decision based on past experience, making the scheduling process more intelligent based on data, reducing the uncertainty brought by human intervention, and avoiding supply surplus or shortage caused by uncertain factors; improving the overall operation efficiency of coal-electricity integrated enterprises, while ensuring the reasonable utilization of energy and the dynamic balance of supply and demand.

[0075] Specifically in implementation, the coal scheduling device for the production of coal-electricity integrated enterprises of the present application includes, but is not limited to: a coal initial supply volume calculation unit 10, a coal volume difference calculation unit 20, a coal volume difference similarity calculation unit 30, and a coal actual supply volume determination unit 40.

[0076] The coal initial supply volume calculation unit 10 is used to execute step S10: obtain the demand for various types of coal in the next period at each coal consumption end, and calculate the initial supply volume of various types of coal in the next period to obtain the initial supply volume sequence N of coal in the next period t+1 .

[0077] The initial supply volume of various types of coal in the next period satisfies:

[0078]

[0079] In the formula: represents the amount of the i-th type of coal required for the next time period at the j-th coal consumption end, where i ∈ (1, n) and j ∈ (1, m). Here, n represents the total number of n types of coal, and j represents the total number of j user ends.

[0080] The initial coal supply quantity sequence N for the next time period t+1 is expressed as:

[0081]

[0082] The coal consumption ends include, but are not limited to, each thermal power plant under a coal-electricity integration enterprise, and may also include other coal-consuming enterprises such as thermal power plants around the coal-electricity integration enterprise.

[0083] The classification of coal can be carried out according to GB / T 5751 "Classification of Chinese Coals", or according to the coal blending and co-firing plan within the coal-electricity integration enterprise, or according to the coal procurement categories within the coal-electricity integration enterprise, or according to the calorific value of coal. This application does not make any restrictions.

[0084] Example 1: If a coal-electricity integration enterprise has 3 thermal power plants under its jurisdiction, and the coal is classified into 3 types according to calorific value, including low-calorific value coal, medium-calorific value coal, and high-calorific value coal, then it is necessary to calculate the initial supply quantity of low-calorific value coal for the next time period for the 3 thermal power plants in total The initial supply quantity of medium-calorific value coal for the next time period and the initial supply quantity of high-calorific value coal for the next time period

[0085] The coal quantity difference calculation unit 20 is used to execute step S20: obtain the inventory quantity of each type of coal Calculate the inventory quantity and the initial supply quantity of each type of coal for the next time period to obtain the coal quantity difference ΔN i , and obtain the coal quantity difference sequence ΔN.

[0086] The coal quantity difference ΔN of each type of coal i satisfies:

[0087]

[0088] In the formula: represents the inventory quantity of the i-th type of coal, represents the initial supply quantity of the i-th type of coal for the next time period.

[0089] The coal quantity difference sequence ΔN is expressed as:

[0090] ΔN = [ΔN 1 , ΔN2 ,..., ΔN i ,..., ΔN n .

[0091] Where, ΔN i represents the coal quantity difference corresponding to the i-th type of coal.

[0092] The coal quantity difference similarity calculation unit 30 is used to execute step S30: obtain the historical coal quantity difference sequence - coal blending plan dataset Q(ΔD, A), and calculate the similarity s k between the coal quantity difference sequence ΔN and each group of historical coal quantity difference sequences ΔD k , and obtain the similarity sequence s.

[0093] Specifically, the historical coal quantity difference sequence ΔD includes M groups of sub-historical coal quantity difference sequences:

[0094]

[0095] Where, ΔD k-i represents the coal quantity difference corresponding to the i-th type of coal in the k-th group of historical coal quantity difference sequences, k ∈ (1, M).

[0096] Among them, the k-th group of historical coal quantity difference sequences ΔD k is expressed as: ΔD k = [ΔD k-1 , ΔD k-2 ,..., ΔD k-i ,..., ΔD k-n , and its corresponding coal blending plan is A k , A k = [A k-1 , A k-2 ,..., A k-i ,..., A k-n , A k-i represents the actual supply quantity of the i-th type of coal in the k-th group of historical coal quantity difference sequences.

[0097] Then the Euclidean distance d k between the coal quantity difference sequence ΔN and the k-th group of historical coal quantity difference sequences ΔD k satisfies:

[0098]

[0099] Where: ΔN i represents the coal quantity difference corresponding to the i-th type of coal, and ΔD k-i represents the coal quantity difference corresponding to the i-th type of coal in the k-th group of historical coal quantity difference sequences.

[0100] Then the coal quantity difference sequence ΔN and the k-th group of historical coal quantity difference sequences ΔD kSimilarity s k Satisfies:

[0101] s k = 1 / (1 + d k ).

[0102] Then the similarity sequence s of the coal quantity difference sequence ΔN and the historical coal quantity difference sequence ΔD satisfies:

[0103] s = [s 1 , s 2 ,..., s k ,..., s M .

[0104] Since different types of coal have different degrees of importance in the blending combustion, and also have different degrees of importance for the boilers of different power plants, therefore, when calculating the Euclidean distance between the coal quantity differences of various types of coal and the historical coal quantity differences, considering the weights of various types of coal is more conducive to reasonably measuring the distance between the demand for various types of coal in the next time period at each coal consumption end and the historical samples, finding the most reasonable coal blending plan, further improving the scientificity of coal blending, and improving the overall operation efficiency of the coal-electricity integrated enterprise and the effectiveness of energy utilization. For this reason, in one embodiment, different weight coefficients are configured for various types of coal, and the specific scheme is as follows.

[0105] The weights corresponding to various types of coal are expressed as:

[0106] ω = (ω 1 , ω 2 ,..., ω i ,..., ω n )

[0107] In the formula, ω i represents the weight coefficient corresponding to the i-th type of coal.

[0108] Then the Euclidean distance d k between the coal quantity difference sequence ΔN and the k-th group of historical coal quantity difference sequences ΔD k satisfies:

[0109]

[0110] In the formula: ω i represents the weight coefficient corresponding to the i-th type of coal, ΔN i represents the coal quantity difference corresponding to the i-th type of coal, and ΔD k-i represents the coal quantity difference corresponding to the i-th type of coal in the k-th group of historical coal quantity differences.

[0111] The coal actual supply quantity determination unit 4 is used to execute step S40: Determine whether the maximum similarity s max in the similarity sequence s is greater than or equal to the similarity threshold s target :

[0112] If it is yes, then use the maximum similarity value s max The corresponding historical coal quantity difference sequence - coal blending plan The actual supply quantity in it as the actual supply quantity for the next time period;

[0113] If it is no, then collect the initial supply quantity of each type of coal in the current time period And the final coal consumption quantity in the current time period Calculate the consumption rate of each type of coal According to the consumption rate For the maximum similarity value s max The corresponding historical coal quantity difference sequence - coal blending plan The actual supply quantity in it is corrected, and the corrected actual supply quantity is used as the actual supply quantity for the next time period.

[0114] Specifically, the consumption rate of each type of coal Satisfies:

[0115]

[0116] In the formula, Represents the initial supply quantity of the i-th type of coal in the current time period, Represents the final coal consumption quantity of the i-th type of coal in the current time period.

[0117] The maximum similarity value s max The corresponding historical coal quantity difference sequence - coal blending plan In Is expressed as:

[0118]

[0119] Represents the maximum similarity value s max The actual supply quantity of the i-th type of coal in the corresponding historical coal quantity difference sequence - coal blending plan.

[0120] When the similarity is relatively high, directly refer to the similar supply situation in history to avoid repeated debugging and waste of resources; when the similarity is relatively low, the system adjusts the supply of the closest historical data according to the coal consumption rate at the current moment to reduce errors.

[0121] According to the consumption rate For the maximum similarity value s max The corresponding historical coal quantity difference sequence - coal blending plan The coal blending plan A in k The steps for correction are as follows:

[0122] Determine the consumption rate of each type of coal The consumption rate interval to which it belongs:

[0123] If then the first adjustment coefficient α is adopted i-1 to correct the maximum similarity value s max for the corresponding historical coal quantity difference sequence - the actual supply quantity of this type of coal in the coal blending plan The corrected actual supply quantity of this type of coal satisfies:

[0124]

[0125] If then the second adjustment coefficient α is adopted i-2 to correct the maximum similarity value s max for the corresponding historical coal quantity difference sequence - the actual supply quantity of this type of coal in the coal blending plan The corrected actual supply quantity of this type of coal satisfies:

[0126]

[0127] If then the initial supply quantity in the current period is used as the actual supply quantity in the next period;

[0128] If then the second adjustment coefficient α is adopted i-2 to correct the maximum similarity value s max for the corresponding historical coal quantity difference sequence - the actual supply quantity of this type of coal in the coal blending plan The corrected actual supply quantity of this type of coal satisfies:

[0129]

[0130] If then the first adjustment coefficient α is adopted i-1 to correct the maximum similarity value s max for the corresponding historical coal quantity difference sequence - the actual supply quantity of this type of coal in the coal blending plan The corrected actual supply quantity of this type of coal satisfies:

[0131]

[0132] Among them, the first adjustment coefficient α i-1 > the second adjustment coefficient α i-2 ; ΔR i is the preset allowable consumption rate fluctuation value of the i-th type of coal.

[0133] By calculating the ratio of the final coal consumption quantity of each type of coal in the current period to the initial supply quantity in the current period the consumption rate is calculated It can effectively measure the supply efficiency and resource utilization in the current period. By determining which set consumption rate interval the calculated consumption rate belongs to, it can be judged which resource utilization state the consumption rate is in during the current period: for a consumption rate that is too small, it indicates insufficient resource utilization and a large deviation in the initial supply volume, and a large adjustment coefficient is required for production reduction scheduling; for a relatively small consumption rate, a small adjustment coefficient is required for production reduction scheduling; for a moderate consumption rate within the allowable fluctuation range affected by weather and equipment, it indicates sufficient resource utilization, and this coal blending plan is appropriate, and this coal blending plan can be used for coal blending in the next period to avoid repeated debugging and resource waste; for a relatively large consumption rate, it indicates that coal consumption is too fast and the initial supply volume cannot meet the actual demand, and a small adjustment coefficient is required for production increase scheduling; for a consumption rate that is too large, it indicates obvious insufficient coal consumption and a large deviation in the initial supply volume, and a large adjustment coefficient is required for production increase scheduling.

[0134] The coal-fired power integrated enterprise production coal scheduling device of the present application is set in an electronic device and is executed by the electronic device to realize the production coal scheduling of the coal-fired power integrated enterprise.

[0135] The electronic device includes, but is not limited to, a memory, a processor, and a network interface that can be communicatively connected to each other through a system bus.

[0136] The electronic device can be a computing device such as a rack server, a blade server, a tower server, or a cabinet server. The electronic device can be an independent server or a server cluster composed of multiple servers.

[0137] The memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disc, etc. The memory can be an internal storage unit of the electronic device, such as the hard disk or memory of the electronic device. The memory can also be an external storage device of the electronic device, such as a plug-in hard disk equipped on the electronic device, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. The memory can also include both the internal storage unit and the external storage device of the electronic device.

[0138] The processor may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips. The processor is generally used to control the overall operation of the electronic device, such as performing control and processing related to data interaction or communication with the electronic device. The processor is used to run the program code stored in the memory or process data, such as running the coal-electricity integrated enterprise production coal scheduling method described above.

[0139] The network interface may include a wireless network interface or a wired network interface, which is generally used to establish a communication connection between the electronic device and other electronic devices. For example, the network interface is used to connect the electronic device to an external data platform through a network, and establish a data transmission channel and a communication connection between the electronic device and the external data platform. The network may be a wireless or wired network such as an enterprise intranet (Intranet), the Internet, Global System of Mobile communication (GSM), Wideband Code Division Multiple Access (WCDMA), 4G network, 5G network, Bluetooth, Wi-Fi, etc.

[0140] The terms used in the embodiments of this application are only for the purpose of describing specific embodiments, and are not intended to limit the embodiments of this application. The singular forms "a", "the", and "said" used in the embodiments of this application and the claims are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that unless otherwise stated, "a plurality" and "several" refer to two or more; "and / or" means any or all possible combinations including one or more of the associated listed items; "first", "second", "third", etc. are only used for distinction and not for describing a specific order or sequence, nor can they be understood as indicating or implying relative importance. When the above description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. In the description of this application, for those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0141] The above-described embodiments only represent several implementation manners of the present invention, and the description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and the present invention also intends to include these modifications and improvements.

Claims

1. A method for dispatching coal for production in a coal-electricity integrated enterprise, characterized in that: The following steps are involved: S10 obtains the demand of each type of coal at each coal-using end in the next period, and calculates the initial supply of each type of coal in the next period; S20 obtains the inventory of each type of coal, calculates the difference between the inventory and the initial supply of each type of coal in the next period, and obtains a coal quantity difference sequence; S30: obtaining a historical coal quantity difference sequence-coal blending scheme data set, calculating the similarity between the coal quantity difference sequence and each group of historical coal quantity difference sequences, and obtaining a similarity sequence; S40 determines whether the maximum similarity value in the similarity sequence is greater than or equal to the similarity threshold value: If yes, the actual supply quantity in the coal blending scheme - the historical coal quantity difference sequence corresponding to the maximum similarity value is used as the actual supply quantity in the next period; If not, then collect the initial supply of each type of coal in the current period and the final coal consumption in the current period, calculate the consumption rate of each type of coal, and correct the actual supply in the coal blending plan based on the historical coal quantity difference sequence corresponding to the maximum similarity value according to the consumption rate, and use the corrected actual supply as the actual supply in the next period.

2. The method for dispatching coal for production in a coal-electricity integrated enterprise according to claim 1, characterized in that: The initial supply of each type of coal in the next period meets the following requirements: Where: represents the initial supply of the i-th type of coal in the next period, It represents the amount of the i-th type of coal required by the j-th coal user in the next period, i∈(1,n), j∈(1,m), where n represents the total number of n types of coal and j represents the total number of j user terminals; The difference in the amount of coal of each type satisfies: Where: ΔN i represents the difference in the amount of coal of the i-th type of coal, represents the inventory of the i-th type of coal, Represents the initial supply of the i-th type of coal in the next period.

3. The method for dispatching coal for production in a coal-electricity integrated enterprise according to claim 2, characterized in that: The similarity between the coal quantity difference sequence and each group of historical coal quantity difference sequences satisfies: s k =1 / (1+d k ) Among them, s k represents the similarity between the coal quantity difference sequence and the kth group of historical coal quantity difference sequence, d k It represents the Euclidean distance between the coal quantity difference sequence and the kth group of historical coal quantity difference sequence; The similarity sequence s is expressed as: s = [s1, s2, ..., s k ,...,s M ], Among them, k represents the kth group in the historical coal quantity difference sequence-coal blending plan, and M represents the total number of M groups of historical coal quantity difference sequence-coal blending plans.

4. The method for dispatching coal for production in a coal-electricity integrated enterprise according to claim 3, characterized in that: The coal quantity difference sequence ΔN is expressed as: ΔN=[ΔN1, ΔN2, ..., ΔN i ,...,ΔN n ]; The historical coal quantity difference sequence ΔD is expressed as: Among them, the kth group of historical coal quantity difference sequence ΔD k It is expressed as: ΔD k =[ΔD k-1 ,ΔD k-2 ,...,ΔD k-i ,...,ΔD k-n ]; Then the coal quantity difference sequence ΔN and the kth group of historical coal quantity difference sequence ΔD k The Euclidean distance satisfies: Where: ΔN i represents the coal quantity difference corresponding to the i-th type of coal in the coal quantity difference sequence ΔN, ΔD k-i It represents the coal quantity difference corresponding to the i-th type of coal in the k-th group of historical coal quantity difference sequence.

5. The method for dispatching coal for production in a coal-electricity integrated enterprise according to claim 3, characterized in that: The coal quantity difference sequence ΔN is expressed as: ΔN=[ΔN1, ΔN2, ..., ΔN i ,...,ΔN n ]; The historical coal quantity difference sequence ΔD is expressed as: Among them, the kth group of historical coal quantity difference sequence ΔD k It is expressed as: ΔD k =[ΔD k-1 ,ΔD k-2 ,...,ΔD k-i ,...,ΔD k-n ]; Then the coal quantity difference sequence ΔN and the kth group of historical coal quantity difference sequence ΔD k The Euclidean distance satisfies: Where: ΔN i represents the coal quantity difference corresponding to the i-th type of coal in the coal quantity difference sequence ΔN, ΔD k-i represents the coal quantity difference corresponding to the i-th type of coal in the k-th group of historical coal quantity difference sequence, ω i Represents the weight coefficient corresponding to the i-th type of coal.

6. The method for dispatching coal for production in a coal-electricity integrated enterprise according to claim 4 or 5, characterized in that: The consumption rates of the various types of coal satisfy: In the formula, represents the consumption rate of the i-th type of coal, represents the initial supply of the i-th type of coal in the current period, It represents the final coal consumption of the i-th type of coal in the current period.

7. The method for dispatching coal for production in a coal-electricity integrated enterprise according to claim 6, characterized in that: The steps for correcting the coal blending scheme in the historical coal quantity difference sequence corresponding to the maximum similarity value according to the consumption rate are as follows: Determine the consumption rate of each type of coal Consumption rate range: like The first adjustment coefficient α is used i-1 The actual supply of this type of coal in the coal blending scheme is calculated by comparing the historical coal quantity difference sequence corresponding to the maximum similarity value After correction, the actual supply of this type of coal meets the following requirements: like The second adjustment coefficient α is used i-2 The actual supply of this type of coal in the coal blending scheme is calculated by comparing the historical coal quantity difference sequence corresponding to the maximum similarity value After correction, the actual supply of this type of coal meets the following requirements: like Then the initial supply of the current period is used as the actual supply of the next period; like The second adjustment coefficient α is used i-2 The actual supply of this type of coal in the coal blending scheme is calculated by comparing the historical coal quantity difference sequence corresponding to the maximum similarity value After correction, the actual supply of this type of coal meets the following requirements: like The first adjustment coefficient α is used i-1 The actual supply of this type of coal in the coal blending scheme is calculated by comparing the historical coal quantity difference sequence corresponding to the maximum similarity value After correction, the actual supply of this type of coal meets the following requirements: Among them, the first adjustment coefficient α i-1 > Second adjustment coefficient α i-2 ; ΔR i It is the preset allowable consumption rate fluctuation value of the i-th type of coal.

8. A coal dispatching device for production of a coal-electricity integrated enterprise, characterized in that: include: Coal initial supply amount calculation unit, coal amount difference calculation unit, coal amount difference similarity calculation unit and coal actual supply amount determination unit: The coal initial supply quantity calculation unit is used to obtain the demand quantity of each type of coal at each coal-using end in the next period and calculate the initial supply quantity of each type of coal in the next period; The coal quantity difference calculation unit is used to obtain the inventory of each type of coal, calculate the coal quantity difference between the inventory and the initial supply of each type of coal in the next period, and obtain a coal quantity difference sequence; The coal quantity difference similarity calculation unit obtains a historical coal quantity difference sequence-coal blending scheme data set, calculates the similarity between the coal quantity difference sequence and each group of historical coal quantity difference sequences, and obtains a similarity sequence; The actual coal supply amount determination unit is used to determine whether the maximum similarity value in the similarity sequence is greater than or equal to the similarity threshold value: If yes, the actual supply quantity in the coal blending scheme - the historical coal quantity difference sequence corresponding to the maximum similarity value is used as the actual supply quantity in the next period; If not, then collect the initial supply of each type of coal in the current period and the final coal consumption in the current period, calculate the consumption rate of each type of coal, and correct the actual supply in the coal blending plan based on the historical coal quantity difference sequence corresponding to the maximum similarity value according to the consumption rate, and use the corrected actual supply as the actual supply in the next period.

9. An electronic device, characterized in that: include: one or more processors; A memory for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method for scheduling production coal for a coal-electricity integrated enterprise as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for scheduling production coal for a coal-electricity integrated enterprise as described in any one of claims 1 to 7 is implemented.

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