A method and apparatus for adjusting carbon electrical potential

Abstract

The application provides a carbon electricity potential adjusting method and device, and relates to the technical field of energy scheduling optimization. The method comprises the following steps: if it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold value, the carbon emission coefficient is subjected to carbon over-emission analysis, and the carbon electricity ratio in a target period is obtained according to the carbon over-emission analysis result; a change curve reflecting the change of the carbon emission coefficient with the carbon electricity ratio and a linear model are constructed according to the carbon electricity ratio and the carbon emission coefficient in the corresponding period, and the linear model is subjected to linearization test according to the change curve; if it is determined that the linearization test passes, and the carbon electricity ratio influences the carbon emission according to the monotonicity of the linear model, the optimal carbon electricity ratio is determined according to the change curve and the carbon emission coefficient threshold value, and the renewable electricity generation capacity is optimized according to the optimal carbon electricity ratio. The device executes the above method. The method and device provided in the application embodiment can realize the adjustment of the carbon electricity potential.

Description

Technical Field

[0001] The present invention relates to the technical field of energy scheduling optimization, and in particular to a carbon electricity potential regulation method and device. Background Art

[0002] Carbon emission management in enterprise parks is particularly important, and existing technologies have many limitations in carbon power potential analysis and optimization.

[0003] Traditional carbon emission management systems primarily focus on the measurement and statistics of energy consumption, often relying on simple estimation methods for carbon emission analysis. This approach ignores the differences in carbon emission characteristics among different energy sources and the dynamic changes in energy use. Furthermore, during energy structure adjustments, there is a lack of effective decision-making basis for determining the optimal balance between renewable energy and carbon-emitting energy. Summary of the Invention

[0004] In response to the problems in the prior art, embodiments of the present invention provide a carbon electricity potential adjustment method and device, which can at least partially solve the problems in the prior art.

[0005] In one aspect, the present invention provides a method for regulating carbon electricity potential, comprising:

[0006] If it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, a carbon excess emission analysis is performed on the carbon emission coefficient, and the carbon-to-electricity ratio within the target period is obtained based on the carbon excess emission analysis result;

[0007] The target period is the period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the amount of carbon emission energy used per unit time to the amount of renewable electric energy used during the target period;

[0008] Constructing a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, and performing a linearization test on the linear model according to the change curve;

[0009] If it is determined that the linearization test passes and it is judged that the carbon-to-electricity ratio affects carbon emissions based on the monotonicity of the linear model, the optimal carbon-to-electricity ratio is determined based on the change curve and the carbon emission coefficient threshold, and the renewable electricity generation is optimized based on the optimal carbon-to-electricity ratio to achieve the regulation of carbon-to-electricity potential.

[0010] Wherein, the carbon excess emission analysis of the carbon emission coefficient includes:

[0011] Obtaining the time period and number of times the carbon emission coefficient exceeds the carbon emission coefficient threshold within the monitoring period;

[0012] The ratio of the sum of the time periods to the number of times is taken as the mean of the exceeding time, and the ratio of the mean of the exceeding time to the corresponding duration of the monitoring period is taken as the exceeding time ratio; within the monitoring period, the ratio of the number of times to the number threshold is taken as the number of times of super-discharge;

[0013] Calculate the sum of the carbon emission coefficients corresponding to all exceeded periods and take the average to obtain the exceeded mean value;

[0014] Performing difference processing on the excess mean value and the carbon emission coefficient threshold to obtain an excess mean difference;

[0015] Ratio processing is performed on the excess mean difference and the carbon emission coefficient threshold to obtain a degree ratio mean;

[0016] Calculating a carbon emission degree coefficient according to the excess time ratio, the excess emission times ratio and the degree ratio average;

[0017] The carbon excess emission analysis result is determined based on a comparison result of the carbon emission degree coefficient and a carbon emission degree coefficient threshold.

[0018] The step of obtaining the carbon-to-electricity ratio within the target period based on the carbon excess emission analysis results includes:

[0019] If it is determined that the comparison result is that the carbon emission coefficient is greater than or equal to the carbon emission coefficient threshold, the carbon-to-electricity ratio within the target time period is obtained.

[0020] The step of constructing a curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio based on the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period includes:

[0021] The two end points of the variation curve are connected by straight lines to obtain a linear reference line, and the linear equation of the linear reference line is used as the linear model.

[0022] The performing of a linearization test on the linear model according to the change curve includes:

[0023] Selecting a preset number of reference calculation points on the change curve, and determining the type of each reference calculation point based on whether each reference calculation point can be substituted into the linear model, wherein the type includes a substitutable point and a non-substitutable point;

[0024] The ratio of the number of non-substitutable points to the number of reference calculation points is taken as the non-substitutable quantity ratio;

[0025] In the coordinates corresponding to the unsubstitutable points, the coordinate values ​​corresponding to the ordinates are marked as actual values, and the abscissas of the unsubstitutable points are substituted into the linear model to obtain the linear values ​​of the unsubstitutable points;

[0026] Performing difference processing on the linear value and the actual value, taking the absolute value of the difference to obtain a substitution difference, performing ratio processing on the substitution difference and the linear value to obtain a substitution deviation ratio of the non-substitutable point;

[0027] The substitution deviation ratios of all non-substitutable points are summed and averaged to obtain the non-substitutable value ratio;

[0028] A linearization test is performed on the linear model according to the non-substitutable amount ratio and the non-substitutable value ratio.

[0029] The performing of a linearization test on the linear model according to the non-substitutable amount ratio and the non-substitutable value ratio includes:

[0030] Calculate the substitution performance value according to the non-substitutable amount ratio and the non-substitutable value ratio;

[0031] If it is determined that the substituted performance value is greater than or equal to the substituted performance threshold, it is determined that the linearization test passes.

[0032] The determining of the optimal carbon-to-electricity ratio according to the change curve and the carbon emission coefficient threshold comprises:

[0033] Draw a horizontal straight line in the coordinate system representing the change curve so that the vertical distance from the coordinate origin to the horizontal straight line is equal to the carbon emission coefficient threshold;

[0034] The horizontal coordinate corresponding to the intersection of the horizontal straight line and the change curve is used as the optimal carbon-to-electricity ratio.

[0035] In one aspect, the present invention provides a carbon electricity potential regulating device, comprising:

[0036] an acquisition unit, configured to perform a carbon over-emission analysis on the carbon emission coefficient if it is determined that the carbon emission coefficient is greater than a carbon emission coefficient threshold, and acquire a carbon-to-electricity ratio within a target period based on the carbon over-emission analysis result;

[0037] The target period is the period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the amount of carbon emission energy used per unit time to the amount of renewable electric energy used during the target period;

[0038] a verification unit, configured to construct a variation curve reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio and a linear model according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, and perform a linearization test on the linear model according to the variation curve;

[0039] An optimization unit is used to determine the optimal carbon-to-electricity ratio based on the change curve and the carbon emission coefficient threshold if it is determined that the linearization test has passed and the carbon-to-electricity ratio affects carbon emissions based on the monotonicity of the linear model, and optimize the renewable electricity generation based on the optimal carbon-to-electricity ratio to achieve the regulation of carbon-to-electricity potential.

[0040] On the other hand, an embodiment of the present invention provides an electronic device, comprising: a processor, a memory, and a bus, wherein:

[0041] The processor and the memory communicate with each other via the bus;

[0042] The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the following method:

[0043] If it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, a carbon excess emission analysis is performed on the carbon emission coefficient, and the carbon-to-electricity ratio within the target period is obtained based on the carbon excess emission analysis result;

[0044] The target period is the period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the amount of carbon emission energy used per unit time to the amount of renewable electric energy used during the target period;

[0045] Constructing a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, and performing a linearization test on the linear model according to the change curve;

[0046] If it is determined that the linearization test passes and it is judged that the carbon-to-electricity ratio affects carbon emissions based on the monotonicity of the linear model, the optimal carbon-to-electricity ratio is determined based on the change curve and the carbon emission coefficient threshold, and the renewable electricity generation is optimized based on the optimal carbon-to-electricity ratio to achieve the regulation of carbon-to-electricity potential.

[0047] An embodiment of the present invention provides a non-transitory computer-readable storage medium, including:

[0048] The non-transitory computer-readable storage medium stores computer instructions, which cause the computer to execute the following method:

[0049] If it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, a carbon excess emission analysis is performed on the carbon emission coefficient, and the carbon-to-electricity ratio within the target period is obtained based on the carbon excess emission analysis result;

[0050] The target period is the period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the amount of carbon emission energy used per unit time to the amount of renewable electric energy used during the target period;

[0051] Constructing a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, and performing a linearization test on the linear model according to the change curve;

[0052] If it is determined that the linearization test passes and it is judged that the carbon-to-electricity ratio affects carbon emissions based on the monotonicity of the linear model, the optimal carbon-to-electricity ratio is determined based on the change curve and the carbon emission coefficient threshold, and the renewable electricity generation is optimized based on the optimal carbon-to-electricity ratio to achieve the regulation of carbon-to-electricity potential.

[0053] The carbon-electricity potential adjustment method and device provided by the embodiment of the present invention, if it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, then the carbon emission coefficient is subjected to a carbon over-emission analysis, and the carbon-electricity ratio within the target time period is obtained based on the carbon over-emission analysis result; wherein, the target time period is the time period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-electricity ratio is the ratio of the usage of carbon emission energy per unit time to the usage of renewable electric energy within the target time period; according to the carbon-electricity ratio and the carbon emission coefficient within the corresponding time period, a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-electricity ratio are constructed, and the linear model is linearized according to the change curve; if it is determined that the linearization test passes, and it is judged that the carbon-electricity ratio affects carbon emissions based on the monotonicity of the linear model, then the optimal carbon-electricity ratio is determined based on the change curve and the carbon emission coefficient threshold, and the renewable electric energy generation is optimized based on the optimal carbon-electricity ratio to achieve the adjustment of carbon-electricity potential. By optimizing and adjusting the carbon-electricity potential, it is helpful for enterprises to take targeted measures to regulate carbon emissions in a reasonable and timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0055] Figure 1 It is a flow chart of a carbon electricity potential adjustment method provided by one embodiment of the present invention.

[0056] Figure 2 It is a structural schematic diagram of a carbon electric potential regulating device provided in one embodiment of the present invention.

[0057] Figure 3 A schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0058] To make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of this application can be combined with each other in any manner.

[0059] Figure 1 This is a flow chart of a carbon electricity potential adjustment method provided by an embodiment of the present invention. Figure 1 As shown, the carbon electricity potential adjustment method provided by the embodiment of the present invention includes:

[0060] Step S1: If it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, a carbon over-emission analysis is performed on the carbon emission coefficient, and the carbon-to-electricity ratio within the target period is obtained according to the carbon over-emission analysis result;

[0061] Among them, the target period is the period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the usage of carbon emission energy to the usage of renewable electric energy per unit time within the target period.

[0062] Step S2: constructing a variation curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, and performing a linearization test on the linear model according to the variation curve.

[0063] Step S3: If it is determined that the linearization test passes, and it is judged that the carbon-to-electricity ratio affects carbon emissions based on the monotonicity of the linear model, the optimal carbon-to-electricity ratio is determined based on the change curve and the carbon emission coefficient threshold, and the renewable electricity generation is optimized based on the optimal carbon-to-electricity ratio to achieve the regulation of carbon-to-electricity potential.

[0064] In the above step S1, if the device determines that the carbon emission coefficient is greater than the carbon emission coefficient threshold, it performs a carbon over-emission analysis on the carbon emission coefficient and obtains the carbon-to-electricity ratio within the target period according to the carbon over-emission analysis result;

[0065] The target period is the period corresponding to when the carbon emission coefficient exceeds the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of carbon emission energy usage to renewable electricity usage per unit time within the target period. The device may be a computer device, etc., that executes the method. Energy consumption data within the enterprise park may be obtained first, and then the carbon emission coefficient Pf may be calculated based on this energy consumption data. The carbon emission coefficient threshold Pfz may be set based on actual circumstances.

[0066] Energy consumption data include fuel consumption Ry and natural gas consumption Tr of transportation vehicles within the enterprise park;

[0067] Calculate the carbon emission coefficient Pf based on fuel consumption Ry and natural gas consumption Tr;

[0068] The carbon emission coefficient Pf is calculated using the formula: Pf = ax Ry + bx Tr, where a and b are the equivalent standard coal coefficients of fuel oil and natural gas, respectively;

[0069] Compare the carbon emission coefficient Pf with the carbon emission coefficient threshold Pfz;

[0070] If the carbon emission coefficient Pf ≥ the carbon emission coefficient threshold Pfz, then continue to perform the step of performing carbon over-emission analysis on the carbon emission coefficient;

[0071] If the carbon emission coefficient Pf is less than the carbon emission coefficient threshold Pfz, the changes in the carbon emission coefficient Pf within the company's park will be continuously monitored.

[0072] The performing carbon excess emission analysis on the carbon emission coefficient includes:

[0073] The time period and number of times that the carbon emission coefficient exceeds the carbon emission coefficient threshold are obtained within a monitoring period; the monitoring period is a time period that can be customized according to actual conditions.

[0074] The ratio of the sum of the time periods to the number of times is taken as the mean of the exceeding time, and the ratio of the mean of the exceeding time to the corresponding duration of the monitoring period is taken as the exceeding time ratio Sj; within the monitoring period, the ratio of the number of times to the number threshold is taken as the over-discharge number ratio Cp; the number threshold can be set independently according to actual conditions.

[0075] Calculate the sum of the carbon emission coefficients corresponding to all time periods and take the average to get the excess mean;

[0076] Performing difference processing on the excess mean value and the carbon emission coefficient threshold to obtain an excess mean difference;

[0077] Ratio processing is performed on the excess mean difference and the carbon emission coefficient threshold to obtain a degree ratio mean Cdb;

[0078] The carbon emission degree coefficient Cd is calculated based on the exceeding time ratio, the exceeding number ratio and the degree ratio average, and the expression is as follows:

[0079]

[0080] Among them, b1, b2, and b3 are preset proportional coefficients.

[0081] Determining the carbon excess emission analysis result based on a comparison result of the carbon emission degree coefficient and the carbon emission degree coefficient threshold value specifically includes:

[0082] The carbon emission coefficient Cd is compared with the carbon emission coefficient threshold Yz; the carbon emission coefficient threshold can be set independently according to actual conditions.

[0083] If the carbon emission degree coefficient Cd ≥ the carbon emission degree coefficient threshold Yz, it indicates that the carbon emission peak lasts longer and occurs more frequently, resulting in a higher degree of carbon emissions exceeding the threshold. The subsequent steps of obtaining the carbon-to-electricity ratio within the target period based on the carbon excess emission analysis results are continued;

[0084] If the carbon emission degree coefficient Cd is less than the carbon emission degree coefficient Yz, it means that the duration of the carbon emission peak and the number of occurrences of the carbon emission peak are within a reasonable range, and the changes in the carbon emission degree coefficient Cd should be continuously monitored.

[0085] In the above step S2, the device constructs a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio based on the carbon emission coefficient in the corresponding time period, and performs a linearization test on the linear model based on the change curve. The construction of a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio based on the carbon emission coefficient in the corresponding time period includes:

[0086] Connect the two endpoints of the change curve with a straight line to obtain a linear reference line, and use the linear equation of the linear reference line as the linear model. With the carbon-to-electricity ratio as the X-axis and the carbon emission coefficient as the Y-axis, construct a change curve of the carbon-to-electricity ratio Td-carbon emission coefficient Pf;

[0087] Connect the endpoints of the change curve of the carbon-to-electricity ratio Td-carbon emission coefficient Pf with a straight line to obtain a linear reference line, and obtain the linear equation of the linear reference line as a linear model;

[0088] The linear model is Y=Kx+b; where Y represents the carbon emission coefficient, K represents the slope, x represents the carbon-to-electricity ratio, and b represents the intercept of the linear reference line.

[0089] The performing a linearization test on the linear model according to the change curve includes:

[0090] A preset number of reference calculation points are selected on the variation curve, and the type of each reference calculation point is determined based on whether it can be substituted into the linear model. The types include substitutable points and non-substitutable points. The preset number can be set based on actual conditions. Referring to the above Y=Kx+b, if the equation is satisfied, it indicates that the reference calculation point can be substituted into the linear model; if the equation is not satisfied, it indicates that the reference calculation point cannot be substituted into the linear model.

[0091] The ratio of the number of non-substitutable points to the number of reference calculation points is taken as the non-substitutable quantity ratio BD;

[0092] In the coordinates corresponding to the unsubstitutable points, the coordinate values ​​corresponding to the ordinates are marked as actual values, and the abscissas of the unsubstitutable points are substituted into the linear model to obtain the linear values ​​of the unsubstitutable points;

[0093] Performing difference processing on the linear value and the actual value, taking the absolute value of the difference to obtain a substitution difference, performing ratio processing on the substitution difference and the linear value to obtain a substitution deviation ratio of the non-substitutable point;

[0094] Sum and average the substitution deviation ratios of all non-substitutable points to obtain the non-substitutable value ratio ZB;

[0095] The linear model is tested for linearity based on the non-substitutable amount ratio and the non-substitutable value ratio. The linear model is tested for linearity based on the non-substitutable amount ratio and the non-substitutable value ratio, including:

[0096] The substitution performance value Xc is calculated based on the non-substitutable amount ratio and the non-substitutable value ratio; it can be calculated according to the following expression:

[0097]

[0098] Among them, c1 and c2 are preset proportional coefficients.

[0099] If it is determined that the substituted performance value is greater than or equal to the substituted performance threshold, then it is determined that the linearization test has passed. The substituted performance threshold can be set independently according to actual conditions.

[0100] If the substituted performance value Xc ≥ the substituted performance threshold, it means that the linear model is established, that is, the linearization test passes.

[0101] If the substituted performance value Xc is less than the substituted performance threshold, it means that the linear model is not valid and the linearization test fails.

[0102] In step S3 above, if the device determines that the linearization test passes and determines that the carbon-to-electricity ratio affects carbon emissions based on the monotonicity of the linear model, the device determines the optimal carbon-to-electricity ratio based on the change curve and the carbon emission coefficient threshold, and optimizes the renewable energy generation based on the optimal carbon-to-electricity ratio to achieve the carbon-to-electricity potential. Obtain the slope K of the linear model;

[0103] If the slope k>0, the linear model is monotonically increasing, which means that the carbon-to-electricity ratio affects carbon emissions, and the subsequent steps are continued.

[0104] If the slope k is less than 0, the linear model is monotonically decreasing and is no longer used. A machine learning algorithm can be used to build a prediction model to obtain the optimal carbon-to-electricity ratio.

[0105] The determining the optimal carbon-to-electricity ratio according to the change curve and the carbon emission coefficient threshold includes:

[0106] Draw a horizontal straight line in the coordinate system representing the change curve so that the vertical distance from the coordinate origin to the horizontal straight line is equal to the carbon emission coefficient threshold;

[0107] The horizontal coordinate corresponding to the intersection of the horizontal straight line and the change curve is used as the optimal carbon-to-electricity ratio. The optimal carbon-to-electricity ratio is the carbon-to-electricity ratio limit value. The subsequent carbon-based energy use of the enterprise park is limited according to the carbon-to-electricity ratio limit value.

[0108] The carbon electricity potential adjustment method provided by the embodiment of the present invention has the following beneficial technical effects:

[0109] (1) Analyze energy consumption data and renewable electricity data to accurately calculate the carbon emission coefficient. Combined with the analysis of carbon emissions in different time periods and energy structures, such as the calculation of the excess time ratio, the number of excess emissions ratio, and the degree ratio average, it can accurately determine whether carbon emissions exceed the standard and the degree of excess. This enables enterprises to take targeted measures to regulate carbon emissions in a timely manner and effectively avoid the environmental and economic risks faced by excessive carbon emissions;

[0110] (2) Obtain the carbon-to-electricity ratio Td during the exceeded period, and construct a carbon-to-electricity ratio Td-carbon emission coefficient Pf change curve and a linear model in combination with the carbon emission coefficient Pf during the exceeded period. Based on the carbon-to-electricity ratio Td-carbon emission coefficient Pf change curve and the linear model, the non-substitutable quantity ratio BD and the non-substitutable value ratio ZB are processed and analyzed to obtain the substitution performance value. The substitution performance value is compared with the threshold to determine whether the linear model is valid. If so, the monotonicity of the linear model is used to determine whether the carbon-to-electricity ratio affects carbon emissions. The carbon-to-electricity ratio limit value is used to limit the subsequent carbon-fixed energy use of the enterprise park to achieve energy structure optimization.

[0111] The carbon-electricity potential adjustment method provided by an embodiment of the present invention, if it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, then a carbon over-emission analysis is performed on the carbon emission coefficient, and the carbon-electricity ratio within the target time period is obtained based on the carbon over-emission analysis result; wherein, the target time period is the time period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-electricity ratio is the ratio of the usage of carbon emission energy per unit time within the target time period to the usage of renewable electric energy; according to the carbon-electricity ratio and the carbon emission coefficient within the corresponding time period, a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-electricity ratio are constructed, and a linearization test is performed on the linear model based on the change curve; if it is determined that the linearization test passes, and it is judged that the carbon-electricity ratio affects carbon emissions based on the monotonicity of the linear model, then the optimal carbon-electricity ratio is determined based on the change curve and the carbon emission coefficient threshold, and the renewable electric energy generation is optimized based on the optimal carbon-electricity ratio to achieve the adjustment of carbon-electricity potential. By optimizing and adjusting the carbon-electricity potential, it is helpful for enterprises to take targeted measures to regulate carbon emissions in a reasonable and timely manner.

[0112] Furthermore, the carbon emission coefficient is subjected to carbon over-emission analysis, including:

[0113] The time period and number of times that the carbon emission coefficient exceeds the carbon emission coefficient threshold are obtained within the monitoring period. This can be described with reference to the above embodiment and will not be repeated here.

[0114] The ratio of the sum of the time periods to the number of times is taken as the mean of the exceeding time, and the ratio of the mean of the exceeding time to the corresponding duration of the monitoring period is taken as the exceeding time ratio; within the monitoring period, the ratio of the number of times to the number threshold is taken as the ratio of the number of times of over-discharge; the above-mentioned embodiment can be referred to for explanation and will not be repeated here.

[0115] The sum of the carbon emission coefficients corresponding to all exceeding time periods is calculated, and the average is taken to obtain the exceeding mean value; this can be described with reference to the above embodiment and will not be repeated here.

[0116] The difference between the excess mean value and the carbon emission coefficient threshold is processed to obtain the excess mean difference; the above embodiment can be referred to for description and will not be repeated here.

[0117] The excess mean difference is compared with the carbon emission coefficient threshold to obtain a degree ratio mean; the above embodiment can be referred to for description and will not be repeated here.

[0118] The carbon emission degree coefficient is calculated based on the exceeding time ratio, the exceeding number ratio and the degree ratio average; the above-mentioned embodiment can be referred to for explanation and will not be described in detail.

[0119] The carbon excess emission analysis result is determined based on the comparison result of the carbon emission degree coefficient and the carbon emission degree coefficient threshold.

[0120] Furthermore, obtaining the carbon-to-electricity ratio within the target period according to the carbon excess emission analysis results includes:

[0121] If it is determined that the comparison result is that the carbon emission coefficient is greater than or equal to the carbon emission coefficient threshold, the carbon-to-electricity ratio within the target period is obtained.

[0122] Furthermore, the step of constructing a curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio based on the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period includes:

[0123] Connecting the two end points of the change curve with straight lines to obtain a linear reference line, and using the linear equation of the linear reference line as the linear model.

[0124] Furthermore, performing a linearization test on the linear model according to the change curve includes:

[0125] A preset number of reference calculation points are selected on the change curve, and the type of each reference calculation point is determined based on whether each reference calculation point can be substituted into the linear model. The types include substitutable points and non-substitutable points. Please refer to the above embodiment for description and will not repeat them here.

[0126] The ratio of the number of non-substitutable points to the number of reference calculation points is taken as the non-substitutable quantity ratio; this can be described with reference to the above embodiment and will not be repeated here.

[0127] In the coordinates corresponding to the non-substitutable points, the coordinate values ​​corresponding to the vertical coordinates are marked as actual values, and the horizontal coordinates of the non-substitutable points are substituted into the linear model to obtain the linear values ​​of the non-substitutable points. This can be described with reference to the above embodiments and will not be repeated here.

[0128] Perform difference processing on the linear value and the actual value, and take the absolute value of the difference to obtain the substitution difference, perform ratio processing on the substitution difference and the linear value to obtain the substitution deviation ratio of the non-substitutable point; refer to the above embodiment for description and no further details will be given.

[0129] The substitution deviation ratios of all non-substitutable points are summed and averaged to obtain the non-substitutable value ratio; the above description can be referred to and will not be repeated here.

[0130] The linear model is subjected to a linearization test based on the non-substitutable amount ratio and the non-substitutable value ratio.

[0131] Furthermore, performing a linearization test on the linear model according to the non-substitutable amount ratio and the non-substitutable value ratio includes:

[0132] The substitution performance value is calculated based on the non-substitutable amount ratio and the non-substitutable value ratio; the above description can be referred to, and will not be repeated here.

[0133] If it is determined that the substituted performance value is greater than or equal to the substituted performance threshold, it is determined that the linearization test passes.

[0134] Furthermore, determining the optimal carbon-to-electricity ratio according to the change curve and the carbon emission coefficient threshold includes:

[0135] A horizontal straight line is drawn in the coordinate system representing the change curve so that the vertical distance from the coordinate origin to the horizontal straight line is equal to the carbon emission coefficient threshold; this can be described with reference to the above embodiment and will not be repeated here.

[0136] The horizontal coordinate corresponding to the intersection of the horizontal straight line and the change curve is used as the optimal carbon-to-electricity ratio.

[0137] Figure 2 This is a schematic diagram of the structure of a carbon electricity potential regulating device provided by an embodiment of the present invention. Figure 2 As shown, the carbon electricity potential adjustment device provided by the embodiment of the present invention includes an acquisition unit 201, a verification unit 202 and an optimization unit 203, wherein:

[0138] The acquisition unit 201 is used to perform a carbon over-emission analysis on the carbon emission coefficient if it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, and obtain the carbon-to-electricity ratio within the target time period based on the carbon over-emission analysis result; wherein, the target time period is the time period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the usage of carbon emission energy per unit time to the usage of renewable electric energy within the target time period; the verification unit 202 is used to construct a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio based on the carbon emission coefficient within the corresponding time period, and perform a linearization test on the linear model based on the change curve; the optimization unit 203 is used to determine the optimal carbon-to-electricity ratio based on the change curve and the carbon emission coefficient threshold if it is determined that the linearization test passes, and it is judged that the carbon-to-electricity ratio affects carbon emissions based on the monotonicity of the linear model, and optimize the renewable electric energy generation based on the optimal carbon-to-electricity ratio to achieve the regulation of carbon-electricity potential.

[0139] Specifically, the acquisition unit 201 in the device is used to perform a carbon over-emission analysis on the carbon emission coefficient if it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, and obtain the carbon-to-electricity ratio within the target time period based on the carbon over-emission analysis result; wherein, the target time period is the time period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the usage of carbon emission energy per unit time to the usage of renewable electric energy within the target time period; the verification unit 202 is used to construct a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio based on the carbon emission coefficient in the corresponding time period, and perform a linearization test on the linear model based on the change curve; the optimization unit 203 is used to determine the optimal carbon-to-electricity ratio based on the change curve and the carbon emission coefficient threshold if it is determined that the linearization test passes, and it is judged that the carbon-to-electricity ratio affects carbon emissions based on the monotonicity of the linear model, and optimize the renewable electric energy generation based on the optimal carbon-to-electricity ratio to achieve the regulation of carbon-electricity potential.

[0140] The carbon-electricity potential regulating device provided by an embodiment of the present invention, if it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, then a carbon over-emission analysis is performed on the carbon emission coefficient, and the carbon-electricity ratio within the target time period is obtained according to the carbon over-emission analysis result; wherein, the target time period is the time period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-electricity ratio is the ratio of the usage of carbon emission energy per unit time within the target time period to the usage of renewable electric energy; according to the carbon-electricity ratio and the carbon emission coefficient within the corresponding time period, a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-electricity ratio are constructed, and a linearization test is performed on the linear model according to the change curve; if it is determined that the linearization test passes, and it is judged that the carbon-electricity ratio affects carbon emissions according to the monotonicity of the linear model, then the optimal carbon-electricity ratio is determined according to the change curve and the carbon emission coefficient threshold, and the renewable electric energy generation is optimized according to the optimal carbon-electricity ratio to achieve the regulation of carbon-electricity potential. By optimizing and regulating the carbon-electricity potential, it is helpful for enterprises to take targeted measures to regulate carbon emissions in a reasonable and timely manner.

[0141] The embodiments of the present invention provide an embodiment of a carbon electric potential regulating device which can be specifically used to execute the processing flow of the above-mentioned method embodiments. Its functions will not be described in detail here, and reference can be made to the detailed description of the above-mentioned method embodiments.

[0142] Figure 3 A schematic diagram of the physical structure of an electronic device provided in an embodiment of the present invention, such as Figure 3 As shown, the electronic device includes: a processor 301, a memory 302 and a bus 303;

[0143] The processor 301 and the memory 302 communicate with each other via the bus 303.

[0144] The processor 301 is configured to call the program instructions in the memory 302 to execute the methods provided by the above method embodiments, for example, including:

[0145] If it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, a carbon excess emission analysis is performed on the carbon emission coefficient, and the carbon-to-electricity ratio within the target period is obtained based on the carbon excess emission analysis result;

[0146] The target period is the period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the amount of carbon emission energy used per unit time to the amount of renewable electric energy used during the target period;

[0147] Constructing a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, and performing a linearization test on the linear model according to the change curve;

[0148] If it is determined that the linearization test passes and it is judged that the carbon-to-electricity ratio affects carbon emissions based on the monotonicity of the linear model, the optimal carbon-to-electricity ratio is determined based on the change curve and the carbon emission coefficient threshold, and the renewable electricity generation is optimized based on the optimal carbon-to-electricity ratio to achieve the regulation of carbon-to-electricity potential.

[0149] This embodiment discloses a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can perform the methods provided in the above-mentioned method embodiments, for example, including:

[0150] If it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, a carbon excess emission analysis is performed on the carbon emission coefficient, and the carbon-to-electricity ratio within the target period is obtained based on the carbon excess emission analysis result;

[0151] The target period is the period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the amount of carbon emission energy used per unit time to the amount of renewable electric energy used during the target period;

[0152] Constructing a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, and performing a linearization test on the linear model according to the change curve;

[0153] If it is determined that the linearization test passes and it is judged that the carbon-to-electricity ratio affects carbon emissions based on the monotonicity of the linear model, the optimal carbon-to-electricity ratio is determined based on the change curve and the carbon emission coefficient threshold, and the renewable electricity generation is optimized based on the optimal carbon-to-electricity ratio to achieve the regulation of carbon-to-electricity potential.

[0154] This embodiment provides a computer-readable storage medium storing a computer program. The computer program enables the computer to execute the methods provided in the above method embodiments, for example, including:

[0155] If it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, a carbon excess emission analysis is performed on the carbon emission coefficient, and the carbon-to-electricity ratio within the target period is obtained based on the carbon excess emission analysis result;

[0156] The target period is the period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the amount of carbon emission energy used per unit time to the amount of renewable electric energy used during the target period;

[0157] Constructing a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, and performing a linearization test on the linear model according to the change curve;

[0158] If it is determined that the linearization test passes and it is judged that the carbon-to-electricity ratio affects carbon emissions based on the monotonicity of the linear model, the optimal carbon-to-electricity ratio is determined based on the change curve and the carbon emission coefficient threshold, and the renewable electricity generation is optimized based on the optimal carbon-to-electricity ratio to achieve the regulation of carbon-to-electricity potential.

[0159] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0160] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0161] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0162] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0163] Throughout this specification, reference to terms such as "one embodiment," "a specific embodiment," "some embodiments," "for example," "example," "specific example," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0164] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for regulating carbon electricity potential, characterized in that: include: If it is determined that the carbon emission coefficient is greater than the carbon emission coefficient threshold, a carbon excess emission analysis is performed on the carbon emission coefficient, and the carbon-to-electricity ratio within the target period is obtained based on the carbon excess emission analysis result; the carbon-to-electricity ratio is the ratio of the amount of carbon emission energy used per unit time to the amount of renewable electric energy used within the target period; The target period is the period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the amount of carbon emission energy used per unit time to the amount of renewable electric energy used during the target period; Constructing a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, and performing a linearization test on the linear model according to the change curve; If it is determined that the linearization test passes, and it is determined based on the monotonicity of the linear model that the carbon-to-electricity ratio affects carbon emissions, then determining an optimal carbon-to-electricity ratio based on the change curve and the carbon emission coefficient threshold, and optimizing renewable electricity generation based on the optimal carbon-to-electricity ratio to achieve carbon-to-electricity potential adjustment; The step of constructing a curve and a linear model reflecting changes in the carbon emission coefficient as the carbon emission coefficient changes with the carbon emission coefficient according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period includes: Connecting both end points of the variation curve with a straight line to obtain a linear reference line, and using a linear equation of the linear reference line as the linear model; The performing a linearization test on the linear model according to the change curve includes: Selecting a preset number of reference calculation points on the change curve, and determining the type of each reference calculation point based on whether each reference calculation point can be substituted into the linear model, wherein the type includes a substitutable point and a non-substitutable point; The ratio of the number of non-substitutable points to the number of reference calculation points is taken as the non-substitutable quantity ratio; In the coordinates corresponding to the unsubstitutable points, the coordinate values ​​corresponding to the ordinates are marked as actual values, and the abscissas of the unsubstitutable points are substituted into the linear model to obtain the linear values ​​of the unsubstitutable points; Performing difference processing on the linear value and the actual value, taking the absolute value of the difference to obtain a substitution difference, performing ratio processing on the substitution difference and the linear value to obtain a substitution deviation ratio of the non-substitutable point; The substitution deviation ratios of all non-substitutable points are summed and averaged to obtain the non-substitutable value ratio; A linearization test is performed on the linear model according to the non-substitutable amount ratio and the non-substitutable value ratio.

2. The carbon electricity potential adjustment method according to claim 1, characterized in that: The performing carbon excess emission analysis on the carbon emission coefficient includes: Obtaining the time period and number of times the carbon emission coefficient exceeds the carbon emission coefficient threshold within the monitoring period; The ratio of the sum of the time periods to the number of times is taken as the mean of the exceeding time, and the ratio of the mean of the exceeding time to the corresponding duration of the monitoring period is taken as the exceeding time ratio; within the monitoring period, the ratio of the number of times to the number threshold is taken as the number of times of super-discharge; Calculate the sum of the carbon emission coefficients corresponding to all exceeded periods and take the average to obtain the exceeded mean value; Performing difference processing on the excess mean value and the carbon emission coefficient threshold to obtain an excess mean difference; Ratio processing is performed on the excess mean difference and the carbon emission coefficient threshold to obtain a degree ratio mean; Calculating a carbon emission degree coefficient according to the excess time ratio, the excess emission times ratio and the degree ratio average; The carbon excess emission analysis result is determined based on a comparison result of the carbon emission degree coefficient and a carbon emission degree coefficient threshold.

3. The carbon electricity potential adjustment method according to claim 2, characterized in that: The step of obtaining the carbon-to-electricity ratio within the target period based on the carbon excess emission analysis results includes: If it is determined that the comparison result is that the carbon emission coefficient is greater than or equal to the carbon emission coefficient threshold, the carbon-to-electricity ratio within the target time period is obtained.

4. The carbon electricity potential adjustment method according to claim 1, characterized in that: The performing a linearization test on the linear model according to the non-substitutable amount ratio and the non-substitutable value ratio includes: Calculate the substitution performance value according to the non-substitutable amount ratio and the non-substitutable value ratio; If it is determined that the substituted performance value is greater than or equal to the substituted performance threshold, it is determined that the linearization test passes.

5. The carbon electricity potential adjustment method according to any one of claims 1 to 4, characterized in that: The determining the optimal carbon-to-electricity ratio according to the change curve and the carbon emission coefficient threshold includes: Draw a horizontal straight line in the coordinate system representing the change curve so that the vertical distance from the coordinate origin to the horizontal straight line is equal to the carbon emission coefficient threshold; The horizontal coordinate corresponding to the intersection of the horizontal straight line and the change curve is used as the optimal carbon-to-electricity ratio.

6. A carbon electricity potential regulating device, characterized in that: include: an acquisition unit, configured to, if it is determined that the carbon emission coefficient is greater than a carbon emission coefficient threshold, perform a carbon over-emission analysis on the carbon emission coefficient, and acquire a carbon-to-electricity ratio within a target period based on the carbon over-emission analysis result; the carbon-to-electricity ratio being the ratio of the amount of carbon emission energy used per unit time within the target period to the amount of renewable electric energy used; The target period is the period corresponding to when the carbon emission coefficient is greater than the carbon emission coefficient threshold, and the carbon-to-electricity ratio is the ratio of the amount of carbon emission energy used per unit time to the amount of renewable electric energy used during the target period; a verification unit, configured to construct a variation curve reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio and a linear model according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, and perform a linearization test on the linear model according to the variation curve; an optimization unit, configured to, if it is determined that the linearization test passes and it is determined based on the monotonicity of the linear model that the carbon-to-electricity ratio affects carbon emissions, determine an optimal carbon-to-electricity ratio based on the variation curve and the carbon emission coefficient threshold, and optimize renewable electric energy generation based on the optimal carbon-to-electricity ratio to achieve carbon-to-electricity potential regulation; The inspection unit is specifically used for: Connecting both end points of the variation curve with a straight line to obtain a linear reference line, and using a linear equation of the linear reference line as the linear model; The inspection unit is specifically used for: Selecting a preset number of reference calculation points on the change curve, and determining the type of each reference calculation point based on whether each reference calculation point can be substituted into the linear model, wherein the type includes a substitutable point and a non-substitutable point; The ratio of the number of non-substitutable points to the number of reference calculation points is taken as the non-substitutable quantity ratio; In the coordinates corresponding to the unsubstitutable points, the coordinate values ​​corresponding to the ordinates are marked as actual values, and the abscissas of the unsubstitutable points are substituted into the linear model to obtain the linear values ​​of the unsubstitutable points; Performing difference processing on the linear value and the actual value, taking the absolute value of the difference to obtain a substitution difference, performing ratio processing on the substitution difference and the linear value to obtain a substitution deviation ratio of the non-substitutable point; The substitution deviation ratios of all non-substitutable points are summed and averaged to obtain the non-substitutable value ratio; A linearization test is performed on the linear model according to the non-substitutable amount ratio and the non-substitutable value ratio.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. 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 5 are implemented.

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