Inverter revenue distribution method, device and equipment, readable storage medium and program product

Abstract

The invention relates to an inverter revenue distribution method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a plurality of processing combinations in which a target inverter participates, wherein each inverter in each processing combination is used for performing power quality processing on a target harmonic source; based on the plurality of processing combinations, determining an initial income distribution value of the target inverter, and obtaining a plurality of important indexes influencing income distribution of the target inverter; and according to the target index value of each important index and the combined income value of each processing combination, correcting the initial income distribution value to obtain a target income distribution value of the target inverter. Therefore, the income of the inverter can be reasonably distributed, and the effectiveness of income distribution of the inverter is improved.

Description

Technical Field

[0001] The present application relates to the technical field of inverters, and particularly to a method, device, computer device, computer-readable storage medium, and computer program product for income distribution of an inverter. Background Art

[0002] With the rapid development of modern industry and science and technology, the number of electrical equipment and power electronic equipment in the power system is increasing continuously. At the same time, this brings a large number of harmonics to the power system. Since harmonics will have an adverse impact on detection equipment and power equipment, problems such as an increase in the operating temperature of the equipment, a decrease in the equipment efficiency, and a shortening of the service life will occur.

[0003] In the related art, an inverter is usually used to control the power quality of harmonics, and then, according to the situation of the inverter's participation in the control, income distribution is carried out for the inverter. However, when carrying out income distribution, the differences of each inverter itself, that is, individual differences, are not considered, resulting in unreasonable income distribution of the inverter. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide a method, device, computer device, computer-readable storage medium, and computer program product for income distribution of an inverter that can reasonably distribute the income of the inverter and improve the effectiveness of the income distribution of the inverter.

[0005] In a first aspect, the present application provides a method for income distribution of an inverter, including:

[0006] Obtain a plurality of processing combinations participated by a target inverter, and each inverter in each processing combination is used to perform power quality processing on a target harmonic source;

[0007] Based on the plurality of processing combinations, determine an initial income distribution value of the target inverter, and obtain a plurality of important indicators affecting the income distribution of the target inverter;

[0008] According to the target index values of each important indicator and the combined income value of each processing combination, correct the initial income distribution value to obtain a target income distribution value of the target inverter.

[0009] In a second aspect, the present application further provides an income distribution device for an inverter, including:

[0010] A first acquisition module, configured to obtain a plurality of processing combinations participated by a target inverter, and each inverter in each processing combination is used to perform power quality processing on a target harmonic source;

[0011] A second acquisition module, configured to determine an initial revenue allocation value of the target inverter based on a plurality of processing combinations, and acquire a plurality of important metrics that affect the revenue allocation of the target inverter;

[0012] A correction module, configured to correct the initial revenue allocation value according to the target metric value of each important metric and the combined revenue value of each processing combination, so as to obtain a target revenue allocation value of the target inverter.

[0013] In a third aspect, the present application further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0014] Acquire a plurality of processing combinations participated by the target inverter, where each inverter in each processing combination is used to perform power quality processing on the target harmonic source;

[0015] Based on the plurality of processing combinations, determine an initial revenue allocation value of the target inverter, and acquire a plurality of important metrics that affect the revenue allocation of the target inverter;

[0016] According to the target metric value of each important metric and the combined revenue value of each processing combination, correct the initial revenue allocation value to obtain a target revenue allocation value of the target inverter.

[0017] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0018] Acquire a plurality of processing combinations participated by the target inverter, where each inverter in each processing combination is used to perform power quality processing on the target harmonic source;

[0019] Based on the plurality of processing combinations, determine an initial revenue allocation value of the target inverter, and acquire a plurality of important metrics that affect the revenue allocation of the target inverter;

[0020] According to the target metric value of each important metric and the combined revenue value of each processing combination, correct the initial revenue allocation value to obtain a target revenue allocation value of the target inverter.

[0021] In a fifth aspect, the present application further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0022] Acquire a plurality of processing combinations participated by the target inverter, where each inverter in each processing combination is used to perform power quality processing on the target harmonic source;

[0023] Based on multiple processing combinations, determine the initial revenue allocation value of the target inverter, and obtain multiple important indicators that affect the revenue allocation of the target inverter;

[0024] According to the target index values of each important indicator and the combined revenue values of each processing combination, correct the initial revenue allocation value to obtain the target revenue allocation value of the target inverter.

[0025] The above-mentioned inverter revenue allocation method, device, computer device, computer-readable storage medium, and computer program product initially determine the initial revenue allocation value of the target inverter by obtaining multiple processing combinations participated by the target inverter, where each inverter in each processing combination is used to perform power quality processing on the target harmonic source. In this way, the initial revenue can be initially allocated to the target inverter according to the power quality situation participated by the target inverter. Then, obtain multiple important indicators that affect the revenue allocation of the target inverter to consider from the target inverter itself which important indicators are closely related to the revenue of the target inverter, facilitating subsequent correction of the initial revenue allocation value from the individual differences of the inverter itself. Then, according to the target index values of each important indicator and the combined revenue values of each processing combination, the initial revenue allocation value can be accurately corrected from two perspectives: the target inverter itself and the revenue obtained from each processing combination, to obtain the target revenue allocation value of the target inverter. In this way, the revenue of the inverter can be reasonably allocated, and the effectiveness of the inverter revenue allocation can be improved. Description of the Drawings

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0027] Figure 1 It is an application environment diagram of the inverter revenue allocation method in an embodiment;

[0028] Figure 2 It is a flowchart of the inverter revenue allocation method in an embodiment;

[0029] Figure 3 It is a flowchart of the initial revenue allocation value determination step in an embodiment;

[0030] Figure 4 It is a structural block diagram of the inverter revenue allocation device in an embodiment;

[0031] Figure 5It is the internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0032] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0033] The method for allocating the benefits of the inverter provided by the embodiment of the present application can be applied to an application environment as Figure 1 shown. Among them, the terminal 102 communicates with the server 104 through a network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or can be placed in the cloud or other network servers. The method for allocating the benefits of the inverter provided by the embodiment of the present application can be executed independently by the terminal 102 or the server 104, or can be executed jointly by the terminal 102 and the server 104, and specific limitations are not made.

[0034] In one embodiment, the server 104 obtains a plurality of processing combinations participated by the target inverter, and each inverter in each processing combination is used to perform power quality processing on the target harmonic source; the server 104 determines an initial benefit allocation value of the target inverter based on the plurality of processing combinations, and obtains a plurality of important indicators that affect the benefit allocation of the target inverter; the server 104 corrects the initial benefit allocation value according to the target indicator values of each important indicator and the combined benefit value of each processing combination to obtain the target benefit allocation value of the target inverter.

[0035] In one embodiment, the server 104 determines a plurality of inverters that are allowed to process the target harmonic source, and each inverter can be used as the target inverter to execute the above embodiment, thereby determining the target benefit allocation value of each inverter. The server 104 sends the target benefit allocation value of each inverter to the terminal 102 to instruct the terminal 102 to display the target benefit allocation value of each inverter for the reviewer to review and confirm.

[0036] Among them, the terminal 102 can be, but is not limited to, various personal computers, laptop computers, smart phones, tablet computers, Internet of Things devices, and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, projection devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The head-mounted device can be a virtual reality (VR) device, an augmented reality (AR) device, smart glasses, etc. The server 104 can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0037] In an exemplary embodiment, as Figure 2 shown, a method for profit distribution of an inverter is provided. Taking this method applied to a computer device (which can be Figure 1 the terminal 102 or Figure 1 the server 104) as an example for illustration, it includes the following steps 202 to 206. Among them:

[0038] Step 202, obtain multiple processing combinations participated by the target inverter. In each processing combination, each inverter is used to perform power quality processing on the target harmonic source.

[0039] Among them, the target harmonic source is a harmonic source that has an adverse impact on detection devices and power equipment. The adverse impact can be causing the device operating temperature to rise, the device efficiency to decrease, the service life to shorten, etc. Power quality processing is to reduce the content of harmonics generated by the target harmonic source. For example, power quality processing can be to reduce the proportion of harmonics generated by the target harmonic source in the current. The processing combination is composed of at least one inverter. Each processing combination includes the target inverter, and the processing combination can be regarded as a processing scheme for power quality processing. Therefore, the processing combination can be regarded as an inverter combination participating in the governance of the target harmonic source. For example, there are currently processing combination 1 and processing combination 2. Processing combination 1: Inverter 1; Processing combination 2: Inverter 1 and Inverter 2.

[0040] Optionally, the computer device determines the target harmonic source, and screens out multiple inverters corresponding to the target harmonic source from multiple candidate inverters. The multiple screened-out inverters include the target inverter. The computer device determines multiple candidate processing combinations based on the multiple screened-out inverters, and screens out the multiple processing combinations participated by the target inverter from the multiple candidate processing combinations. Among them, the candidate processing combination may or may not include the target inverter.

[0041] Exemplarily, the computer device determines the distance between each candidate inverter and the target harmonic source respectively, and uses the candidate inverters with the distance less than or equal to the distance threshold as the inverters corresponding to the target harmonic source that are screened out.

[0042] Exemplarily, each candidate inverter exists in the corresponding power plant. According to the power quality processing qualification of the power plant and the distance between the candidate inverter in the power plant and the target harmonic source, multiple inverters corresponding to the target harmonic source are screened out from multiple candidate inverters. For example, if the power quality processing qualification of the power plant indicates qualified and the distance between the candidate inverter in the power plant and the target harmonic source is less than or equal to the distance threshold, then the candidate inverter is used as the inverter corresponding to the target harmonic source that is screened out; if the power quality processing qualification indicates unqualified, or the distance between the candidate inverter in the power plant and the target harmonic source is greater than the distance threshold, then the candidate inverter is not used as the inverter corresponding to the target harmonic source that is screened out.

[0043] Step 204: Based on multiple processing combinations, determine the initial income allocation value of the target inverter and obtain multiple important indicators that affect the income allocation of the target inverter.

[0044] Among them, the initial income allocation value of the target inverter refers to the initial income value allocated to the target inverter after the target inverter participates in power quality processing (that is, the initial income value that the target inverter can obtain). The important indicators can be understood as the key influencing factors that affect the income allocation of the inverter. Exemplarily, the important indicators can be one or more of the remaining capacity cost of the inverter, the risk level, the sustainable development degree of the power plant, the spatial distance, and the inverter technology level. It should be noted that for different inverters, there are differences in the remaining capacity cost, risk level, sustainable development degree of the power plant, spatial distance, and inverter technology level. Therefore, the important indicators can reflect the individual differences of the inverters.

[0045] Among them, the remaining capacity input represents the capacity of the inverter used for power quality processing. It should be noted that the remaining capacity input is equivalent to the investment cost for power quality and can directly affect the income allocation of jointly treating the target harmonic source. Exemplarily, the more the remaining capacity input of the target inverter, the higher the allocated target income allocation value.

[0046] The risk level reflects the degree of risk generated by the inverter for the power plant it belongs to after power quality processing. It should be noted that the risk levels of different inverters are different, that is, the risks borne by their respective power plants after power quality are different. Exemplarily, the higher the risk level of the target inverter, the higher the target income allocation value allocated to the target inverter.

[0047] The sustainable development level of a power plant reflects the sustainable development situation of the power plant to which the inverter belongs. The sustainable development level of the power plant can be characterized by a score. The sustainable development level of the power plant is obtained by comprehensively evaluating the environmental friendliness (reflecting the degree of positive impact of the power plant on the environment), economic friendliness (reflecting the degree of revenue growth of the power plant), and improvement of the power system of the power plant to which the inverter belongs. It can be understood that the higher the sustainable development level of the power plant of the target inverter, the greater the responsibility of the corresponding power plant to participate in the governance of power quality, and the higher the target revenue allocation value allocated to the corresponding target inverter.

[0048] The spatial distance refers to the distance between the inverter and the target harmonic source, and this spatial distance can be less than or equal to the distance threshold. It should be noted that the greater the spatial distance of the target inverter, that is, the greater the distance from the target inverter to the target harmonic source, then the greater the difficulty for the target inverter to participate in the governance of the power quality of the target harmonic source, and the higher the target revenue allocation value allocated to the target inverter.

[0049] The inverter technology level reflects the ability of the inverter to process power quality, that is, it reflects the technical level. It should be noted that there are certain technical differences between different inverters, that is, the technical levels are inconsistent. The higher the inverter technology level, the more perfect the functions of the inverter and the more investment in the inverter. Therefore, the inverter technology level can be determined by at least one of the amount spent on inverter upgrade and the amount spent on the personnel managing the inverter. It should be noted that the higher the inverter technology level of the target inverter, the more investment in the target inverter, and therefore, the higher the target revenue allocation value allocated to the target inverter.

[0050] Optionally, for each processing combination, the computer device statistics the marginal contribution of the target inverter in this processing combination. Based on the marginal contributions of the target inverter in each processing combination respectively, using the Shapley value allocation algorithm, calculate the initial revenue allocation value of the target inverter. The computer device obtains a plurality of preset important indicators, and obtains a plurality of important indicators that affect the revenue allocation of the target inverter from the plurality of preset important indicators.

[0051] Exemplarily, the above-mentioned marginal contribution refers to the revenue value created by the inverter (which can also be understood as the additional revenue brought to the processing combination) after the inverter participates in a certain processing combination (which can be regarded as a coalition) for power quality processing (power quality management). The Shapley value allocation algorithm is an algorithm used to solve the revenue allocation problem in cooperative games.

[0052] Exemplarily, based on the attribute information of the target inverter, the computer device filters out at least one important indicator that affects the revenue allocation of the target inverter from the remaining capacity cost, risk level, power plant sustainable development degree, spatial distance, and inverter technology level. It should be noted that the important indicators corresponding to different inverters can be the same or different.

[0053] Exemplarily, the computer device can use the remaining capacity cost, risk level, power plant sustainable development degree, spatial distance, and inverter technology level as at least one important indicator that affects the revenue allocation of the target inverter.

[0054] Step 206: Modify the initial revenue allocation value according to the target indicator values of each important indicator and the combined revenue values of each processing combination to obtain the target revenue allocation value of the target inverter.

[0055] Among them, in the case where multiple inverters are allowed to perform power quality processing on the target harmonic source, for the target inverter, the target indicator value of the important indicator reflects the contribution degree of the target inverter in this important indicator. The combined revenue value is the total revenue value that the corresponding processing combination can obtain after completing the power quality processing of the target harmonic source.

[0056] Optionally, for each important indicator, the computer device uses the corresponding indicator information and obtains the target indicator value of this important indicator according to the corresponding statistical method. Determine the correction amount according to the target indicator values of each important indicator and the combined revenue values of each combination, and modify the initial revenue allocation value according to this correction amount to obtain the target revenue allocation value of the target inverter.

[0057] In the above revenue allocation of the inverter, by obtaining multiple processing combinations participated by the target inverter, the initial revenue allocation value of the target inverter is initially determined. Among them, each inverter in each processing combination is used to perform power quality processing on the target harmonic source. In this way, the initial revenue can be initially allocated to the target inverter according to the situation of the target inverter participating in the power quality. Then, obtain multiple important indicators that affect the revenue allocation of the target inverter to consider from the target inverter itself which important indicators are closely related to the revenue of the target inverter, which is convenient for subsequent modification of the initial revenue allocation value from the individual differences of the inverter itself. Then, according to the target indicator values of each important indicator and the combined revenue values of each processing combination, the initial revenue allocation value can be accurately modified from two perspectives: the target inverter itself and the revenue obtained by each processing combination, to obtain the target revenue allocation value of the target inverter. In this way, the revenue of the inverter can be reasonably allocated, and the effectiveness of the inverter revenue allocation can be improved.

[0058] In one embodiment, as Figure 3As shown, it is a schematic flowchart of the steps for determining the initial revenue allocation value in an embodiment. Based on multiple processing combinations, determining the initial revenue allocation value of the target inverter includes:

[0059] Step 302, for each processing combination, count the marginal contribution corresponding to the target inverter, where each marginal contribution is used to indicate the revenue value created by the target inverter participating in the corresponding processing combination.

[0060] Exemplarily, for each processing combination, the computer device determines the first revenue value obtained by the processing combination before the target inverter joins the processing combination, and determines the second revenue value obtained by the processing combination after the target inverter joins the processing combination. Based on the difference between the second revenue value and the first revenue value, the marginal contribution corresponding to the target inverter is obtained.

[0061] Step 304, determine the total number of inverters, where the total number of inverters is the total number of inverters for power quality processing of the target harmonic source.

[0062] Exemplarily, the computer device filters out multiple inverters corresponding to the target harmonic source from multiple candidate inverters, and the number of the filtered multiple inverters is the total number of inverters. For example, the distance between each candidate inverter and the target harmonic source is determined respectively, and the candidate inverters with a distance less than or equal to the preset distance are filtered out as the inverters corresponding to the target harmonic source.

[0063] Step 306, determine the initial revenue allocation value of the target inverter according to each marginal contribution, the total number of inverters, and the number of inverters in each processing combination.

[0064] Exemplarily, refer to the following formula (1) to calculate the initial revenue allocation value U(i) of the target inverter i:

[0065] (1)

[0066] Where S is the processing combination, is the number of inverters in the corresponding processing combination. p is the total number of inverters, B(S) is the second revenue value obtained by the processing combination S after the target inverter joins the processing combination S, and B(S-{i}) is the first revenue value obtained by the processing combination S before the target inverter joins the processing combination S. The above formula (1) is the Shapley value method mentioned above. Where, 、 .

[0067] In this embodiment, by using the marginal contribution of the target inverter in each processing combination respectively, the initial revenue allocation value of the target inverter can be quickly and accurately initially counted. That is, considering the revenue that the target inverter should obtain from the dimension of the processing combinations participating in power quality management.

[0068] In one embodiment, the step of determining the target index value for each important index includes: for each important index, according to the index information corresponding to the important index, and in accordance with the corresponding statistical method, determining the initial index value corresponding to the important index; obtaining a correction factor weight matrix, and based on the correction factor weight matrix, weighting the initial index values of each important index to obtain the target index value corresponding to each important index.

[0069] Exemplarily, if the important indexes include remaining capacity input, risk level, power plant sustainable development degree, spatial distance, and inverter technology level, then the initial index value of each important index is determined as follows:

[0070] For the remaining capacity input, the corresponding index information is the remaining capacity input I(i) of the target inverter and the total remaining capacity input. The following formula (2) is used as the statistical method to calculate the initial index value of the remaining capacity input :

[0071] (2)

[0072] where is the contribution degree of the target inverter i to the remaining capacity input I(i), which is obtained by calculating the proportion of the remaining capacity input I(i) of the target inverter in the total remaining capacity input. The larger the proportion, the greater the contribution degree of the target inverter i to the remaining capacity input. is the total remaining capacity input, that is, the sum of the remaining capacity inputs of multiple inverters corresponding to the target harmonic source.

[0073] For the risk level, the corresponding index information is the risk level mapping table. The specific statistical method is: the computer device can obtain the risk level mapping table and query the value corresponding to the target harmonic source and the target inverter i from the risk level mapping table. The queried value is the initial index value of the target inverter for the risk level . Among them, the larger the value, the greater the contribution degree of the target inverter i to the risk level, that is, the greater the risk brought by the target inverter i after participating in power quality processing.

[0074] For the power plant sustainable development degree, the corresponding index information is the sustainable development mapping table. The specific statistical method is: the computer device can obtain the sustainable development mapping table and query the score corresponding to the power plant where the target inverter i is located from the sustainable development mapping table. The queried score is the initial index value of the target inverter for the power plant sustainable development degree . The larger the score, the greater the contribution degree of the target inverter i to the power plant sustainable development degree.

[0075] For the spatial distance, the corresponding index information is the spatial distance of the target inverter and the total spatial distance. The initial index value of the spatial distance is calculated using the statistical method of the following formula (3). :

[0076] (3)

[0077] Wherein, is the contribution degree of the target inverter i in the spatial distance D(i), which is obtained by calculating the proportion of the spatial distance D(i) of the target inverter in the total spatial distance. The larger the proportion, the greater the contribution degree of the target inverter i in the spatial distance. is the total spatial distance, that is, the sum value of the spatial distances of multiple inverters corresponding to the target harmonic source.

[0078] For the inverter technical level, the corresponding index information is the amount corresponding to the target inverter and the total amount. The initial index value of the inverter technical level is calculated using the statistical method of the following formula (4). :

[0079] (4)

[0080] Wherein, is the contribution degree of the target inverter i in the inverter technical level M(i), which is obtained by calculating the proportion of the amount M(i) corresponding to the target inverter i in the total amount. The larger the proportion, the more the amount invested in the target inverter i, and the higher the technical level of the target inverter i, that is, the higher the inverter technical level. is the total amount, that is, the sum value of the amounts corresponding to multiple inverters corresponding to the target harmonic source respectively.

[0081] After determining the initial index values of each important index, the following is the determination step of the correction factor weight matrix:

[0082] The first step is to calculate the first weight matrix using the analytic hierarchy process: First, calculate the initial weight of AHP using the root value method , and calculate the weight matrix by combining the influence degree and the influenced degree of each important index, and take the diagonal element relationship of the matrix to form the influence degree vector, that is, use the following formulas (5)-(6):

[0083] (5)

[0084] (6)

[0085] Wherein, is the influence degree of the important index corresponding to the target inverter is the influence degree corresponding to the target inverter. After normalizing the influence degree vector obtained from formula (6), the product of the vector obtained by the normalization process and is used as the first weight matrix;

[0086] Step 2: Calculate the second weight matrix using the entropy weight method: Construct an evaluation matrix and perform normalization processing. After solving the standard information entropy, obtain the weight set, as follows:

[0087] Construct the initial data evaluation matrix as follows:

[0088] (7)

[0089] wherein, in the formula, is the evaluation value of the inverter i under the standard j.

[0090] Use the linear transformation method to perform normalization processing on the initial data matrix to obtain the normalized matrix Q, and divide the standard results into positive-term standards and negative-term standards, as follows:

[0091] (8)

[0092] (9)

[0093] Then calculate the proportion of the evaluation value of the i-th item under the j-th standard in this standard :

[0094] (10)

[0095] Calculate the standard information entropy and standard weights according to the obtained positive and negative term standards, and then calculate the standard information entropy :

[0096] (11)

[0097] Calculate the weights of each standard :

[0098] (12)

[0099] Therefore, based on the obtained weights of each standard, determine the second weight matrix. After summing the first weight matrix and the second weight and taking the average, obtain the correction factor weight matrix.

[0100] Next, based on the correction factor weight matrix, weight the initial index values of each important index to obtain the target index values corresponding to each important index.

[0101] In some embodiments, to ensure the efficiency of revenue distribution determination, the method further includes: directly using the initial indicator values of each important indicator as the target indicator values.

[0102] In this embodiment, the initial indicator values are pre-calculated through the respective statistical methods corresponding to each important indicator, and subsequently, weights are assigned to the initial indicator values according to the correction factor weight matrix to achieve the correction of the initial indicator values and ensure the effectiveness of subsequent revenue distribution.

[0103] In one embodiment, according to the target indicator values of each important indicator and the combined revenue values of each processing combination, the initial revenue distribution value is corrected to obtain the target revenue distribution value of the target inverter, including: determining the correction amount based on the target indicator values of each important indicator and the combined revenue values of each processing combination; fusing the correction amount and the initial revenue distribution value to obtain the target revenue distribution value of the target inverter.

[0104] Exemplarily, after obtaining the correction amount, the computer device superimposes the correction amount and the initial revenue distribution value, and uses the superimposed value as the target revenue distribution value of the target inverter.

[0105] In this embodiment, the target indicator values of the important indicators and the combined revenue values of the processing combinations are used to comprehensively determine the correction amount from two perspectives: the revenue obtained by the target inverter itself and each processing combination. Therefore, the initial revenue distribution value is corrected based on the correction amount, ensuring the effectiveness of the inverter revenue distribution.

[0106] In one embodiment, based on the target indicator values of each important indicator and the combined revenue values of each processing combination, determining the correction amount includes: determining the correction coefficient according to the target indicator values of each important indicator; statistically calculating the sum value of the combined revenue values of each processing combination, and using the product of the sum value and the correction coefficient as the correction amount.

[0107] Exemplarily, after the computer device determines the target indicator values of each important indicator, it obtains the influence degree of each important indicator on revenue distribution, and determines the correction coefficient based on the target indicator values of each important indicator and the influence degree.

[0108] In this embodiment, the target indicator values are used to determine the correction coefficient, and the correction amount is accurately estimated based on the sum value of the combined revenue values of each processing combination and the correction coefficient.

[0109] In one embodiment, a correction coefficient is determined according to the target index values of respective important indexes, including: obtaining the influence degree of each important index on the revenue distribution; for each important index, calculating the product of the corresponding target index value and the influence degree, and adding up the products corresponding to respective influence degrees to obtain the comprehensive influence degree corresponding to the target inverter; calculating the reciprocal of the total number of inverters, and taking the difference between the comprehensive influence degree and the reciprocal as the correction coefficient.

[0110] Exemplarily, the computer device determines the target index values of respective important indexes of the target inverter i , the influence degrees of the respective important indexes , and the total number p of inverters, and then successively executes the following formulas (13) and (14) to obtain the correction coefficient △C:

[0111] C0 = (13)

[0112] △C = C0 - 1 / p (14)

[0113] In this embodiment, based on the target index values and influence degrees of respective important indexes, as well as the total number of inverters, the correction coefficient can be accurately evaluated to ensure the effectiveness of subsequent correction.

[0114] In a specific embodiment, the specific steps are as follows:

[0115] First step: The computer device obtains multiple processing combinations participated by the target inverter, and in each processing combination, each inverter is used for power quality processing of the target harmonic source.

[0116] Second step: For each processing combination, the computer device counts the marginal contribution corresponding to the target inverter, and each marginal contribution is used to indicate the revenue value created by the target inverter participating in the corresponding processing combination; determines the total number of inverters, where the total number of inverters is the total number of inverters for power quality processing of the target harmonic source; and determines the initial revenue distribution value of the target inverter according to the respective marginal contributions, the total number of inverters, and the number of inverters in each processing combination.

[0117] Third step: The computer device obtains multiple important indexes affecting the revenue distribution of the target inverter, and for each important index, determines the initial index value corresponding to the important index according to the index information corresponding to the important index and in accordance with the corresponding statistical method; obtains the correction factor weight matrix, and based on the correction factor weight matrix, weights the initial index values of the respective important indexes to obtain the target index values corresponding to the respective important indexes.

[0118] Step 4: The computer device obtains the influence degree of each important indicator on the income distribution respectively; for each important indicator, calculate the product of the corresponding target indicator value and the influence degree, and superimpose the products corresponding to the respective influence degrees to obtain the comprehensive influence degree corresponding to the target inverter; calculate the reciprocal of the total number of inverters, and use the difference between the comprehensive influence degree and the reciprocal as the correction coefficient; count the sum value of the combined income values of each processing combination, and use the product of the sum value and the correction coefficient as the correction amount; fuse the correction amount and the initial income distribution value to obtain the target income distribution value of the target inverter.

[0119] In this embodiment, by obtaining multiple processing combinations participated by the target inverter, the initial income distribution value of the target inverter is initially determined. Among them, each inverter in each processing combination is used to perform power quality processing on the target harmonic source. In this way, the initial income can be initially allocated to the target inverter according to the power quality situation participated by the target inverter. Then, obtain multiple important indicators that affect the income distribution of the target inverter to consider from the target inverter itself which important indicators are closely related to the income of the target inverter, facilitating subsequent correction of the initial income distribution value from the individual differences of the inverter itself. Then, according to the target indicator values of each important indicator and the combined income values of each processing combination, the initial income distribution value can be accurately corrected from two perspectives: the target inverter itself and the income obtained from each processing combination, to obtain the target income distribution value of the target inverter. In this way, the income of the inverter can be reasonably allocated, and the effectiveness of the inverter income distribution can be improved.

[0120] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are shown in sequence according to the arrows, these steps do not necessarily have to be executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages do not necessarily have to be executed at the same time, but can be executed at different times. The execution order of these steps or stages does not necessarily have to be sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0121] Based on the same inventive concept, the embodiment of the present application also provides an inverter income distribution device for implementing the above-mentioned inverter income distribution method. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more of the following embodiments of the inverter income distribution device can refer to the limitations on the inverter income distribution method in the above text, and will not be repeated here.

[0122] In an exemplary embodiment, as Figure 4 shown, a revenue distribution device 400 for an inverter is provided, including: a first acquisition module 402, a second acquisition module 404, and a correction module 406, where:

[0123] The first acquisition module 402 is configured to acquire a plurality of processing combinations participated by the target inverter, and each inverter in each processing combination is used to perform power quality processing on the target harmonic source;

[0124] The second acquisition module 404 is configured to determine an initial revenue distribution value of the target inverter based on the plurality of processing combinations, and acquire a plurality of important indicators affecting the revenue distribution of the target inverter;

[0125] The correction module 406 is configured to correct the initial revenue distribution value according to the target index value of each important indicator and the combined revenue value of each processing combination, so as to obtain the target revenue distribution value of the target inverter.

[0126] In one embodiment, the second acquisition module 404 is configured to, for each processing combination, count the marginal contribution corresponding to the target inverter, and each marginal contribution is used to indicate the revenue value created by the target inverter participating in the corresponding processing combination; determine the total number of inverters, where the total number of inverters is the total number of inverters performing power quality processing on the target harmonic source; and determine the initial revenue distribution value of the target inverter according to each marginal contribution, the total number of inverters, and the number of inverters in each processing combination.

[0127] In one embodiment, the correction module 406 is configured to determine a correction amount based on the target index value of each important indicator and the combined revenue value of each processing combination; and fuse the correction amount and the initial revenue distribution value to obtain the target revenue distribution value of the target inverter.

[0128] In one embodiment, the correction module 406 is configured to determine a correction coefficient according to the target index value of each important indicator; count the sum value of the combined revenue values of each processing combination, and use the product of the sum value and the correction coefficient as the correction amount.

[0129] In one embodiment, the correction module 406 is configured to obtain the influence degree of each important indicator on the revenue distribution respectively; for each important indicator, calculate the product of the corresponding target index value and the influence degree, and superimpose the products corresponding to each influence degree to obtain the comprehensive influence degree corresponding to the target inverter; calculate the reciprocal of the total number of inverters, and use the difference between the comprehensive influence degree and the reciprocal as the correction coefficient.

[0130] In one embodiment, the device further includes a determination module, which is configured to, for each important metric, determine an initial metric value corresponding to the important metric according to the metric information corresponding to the important metric and in accordance with the corresponding statistical method; obtain a correction factor weight matrix, and based on the correction factor weight matrix, assign weights to the initial metric values of the respective important metrics to obtain target metric values corresponding to the respective important metrics.

[0131] Each module in the above-mentioned inverter revenue distribution device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules can be embedded in the processor of the computer device in hardware form or be independent of it, or can be stored in the memory of the computer device in software form, so as to facilitate the processor to call and execute the operations corresponding to the above respective modules.

[0132] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal, and its internal structure diagram can be as Figure 5 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements an inverter revenue distribution method.

[0133] Those skilled in the art can understand that Figure 5 the structure shown in

[0134] is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0135] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, it implements the steps in the above-mentioned method embodiments.

[0136] In one embodiment, a computer program product is provided, including a computer program which, when executed by a processor, implements the steps in the foregoing method embodiments.

[0137] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0138] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0139] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope recorded in this application.

[0140] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation to the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A profit distribution method for an inverter, characterized in that: The method comprises: Acquire multiple processing combinations in which the target inverter participates, each inverter in each processing combination being used to perform power quality processing on the target harmonic source; Based on multiple processing combinations, determine the initial profit distribution value of the target inverter, and obtain multiple important indicators that affect the profit distribution of the target inverter; According to the target indicator value of each important indicator and the combined benefit value of each processing combination, the initial benefit allocation value is corrected to obtain the target benefit allocation value of the target inverter.

2. The method according to claim 1, characterized in that The determining the initial profit distribution value of the target inverter based on the multiple processing combinations includes: For each processing combination, the marginal contribution corresponding to the target inverter is counted, and each marginal contribution is used to indicate the profit value created by the target inverter participating in the corresponding processing combination; Determining a total number of inverters, where the total number of inverters is the total number of inverters that perform power quality processing on the target harmonic source; The initial profit distribution value of the target inverter is determined according to each marginal contribution, the total number of inverters, and the number of inverters in each processing combination.

3. The method according to claim 1, characterized in that The method of correcting the initial profit allocation value according to the target indicator value of each important indicator and the combined profit value of each processing combination to obtain the target profit allocation value of the target inverter includes: Determine the correction amount based on the target indicator value of each important indicator and the combined benefit value of each treatment combination; The correction amount and the initial profit allocation value are integrated to obtain a target profit allocation value of the target inverter.

4. The method according to claim 3, characterized in that The step of determining the correction amount based on the target indicator value of each important indicator and the combined benefit value of each processing combination includes: Determine the correction coefficient according to the target indicator value of each important indicator; The sum of the combined benefit values ​​of each processing combination is counted, and the product of the sum and the correction coefficient is used as the correction amount.

5. The method according to claim 4, characterized in that Determining the correction coefficient according to the target indicator value of each important indicator includes: Obtain the impact of each important indicator on the distribution of benefits; For each important indicator, the product of the corresponding target indicator value and the impact degree is calculated, and the products corresponding to each impact degree are superimposed to obtain the comprehensive impact degree corresponding to the target inverter; The reciprocal of the total number of inverters is calculated, and the difference between the comprehensive impact degree and the reciprocal is used as a correction coefficient.

6. The method according to claim 1, characterized in that The step of determining the target indicator value of each important indicator comprises: For each important indicator, according to the indicator information corresponding to the important indicator, according to the corresponding statistical method, determine the initial indicator value corresponding to the important indicator; A correction factor weight matrix is ​​obtained, and based on the correction factor weight matrix, the initial indicator value of each important indicator is weighted to obtain the target indicator value corresponding to each important indicator.

7. A profit distribution device for an inverter, characterized in that: The device comprises: A first acquisition module is used to acquire multiple processing combinations in which the target inverter participates, and each inverter in each processing combination is used to perform power quality processing on the target harmonic source; A second acquisition module, configured to determine an initial profit distribution value of the target inverter based on a plurality of processing combinations, and to acquire a plurality of important indicators affecting profit distribution of the target inverter; The correction module is used to correct the initial profit allocation value according to the target indicator value of each important indicator and the combined profit value of each processing combination to obtain the target profit allocation value of the target inverter.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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