Carbon electricity potential adjusting method and device

Abstract

The invention provides a carbon electricity potential adjusting method and device, and relates to the technical field of energy scheduling optimization. The method comprises the steps that if it is determined that a carbon emission coefficient is larger than a carbon emission coefficient threshold value, carbon super-emission analysis is conducted on the carbon emission coefficient, and the carbon-electricity ratio in a target time period is obtained according to a carbon super-emission analysis result; according to the carbon-electricity ratio and the carbon emission coefficient in the corresponding time period, constructing a change curve reflecting the change of the carbon emission coefficient along with the carbon-electricity ratio and a linear model, and according to the change curve, carrying out linearization test on the linear model; and if it is determined that the linearization test is passed and it is determined that the carbon-electricity ratio affects carbon emission according to monotonicity of a linear model, determining an optimal carbon-electricity ratio according to the change curve and a carbon emission coefficient threshold, and optimizing the renewable electric energy generating capacity according to the optimal carbon-electricity ratio. The device executes the method. According to the method and the device provided by the embodiment of the invention, the carbon electricity potential is adjusted.

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 corporate parks is particularly important, and existing technologies have many limitations in carbon power potential analysis and optimization.

[0003] Traditional carbon emission management systems mainly focus on the measurement and statistics of energy consumption, and the analysis of carbon emissions is often based on simple estimation methods. This method ignores the differences in carbon emission characteristics of different energy sources and the dynamic changes in energy use. At the same time, in the process of adjusting the energy structure, there is a lack of effective decision-making basis to determine the optimal ratio of renewable energy and carbon emission energy. Summary of the invention

[0004] In view of the problems in the prior art, an embodiment of the present invention provides 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 adjusting carbon electricity potential, comprising:

[0006] 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;

[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 usage of carbon emission energy to the usage of renewable electric energy per unit time within the target period;

[0008] According to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio are constructed, and a linearization test of the linear model is performed according to the change curve;

[0009] If it is determined that the linearization test passes, and the carbon-to-electricity ratio is judged to affect 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 potential for regulating carbon-to-electricity.

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

[0011] Obtaining the time period and number of times that 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 value of the exceeding time, and the ratio of the mean value of the exceeding time to the corresponding time length 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 over-discharge ratio;

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

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

[0015] The excess mean difference is processed by ratio processing with the carbon emission coefficient threshold to obtain a degree ratio mean;

[0016] Calculate the carbon emission degree coefficient according to the excess time ratio, the excess discharge frequency ratio and the degree ratio average;

[0017] The carbon over-emission analysis result is determined according to a comparison result between the carbon emission degree coefficient and a carbon emission degree coefficient threshold.

[0018] Wherein, obtaining the carbon-to-electricity ratio within the target period according to the carbon excess emission analysis result 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 according to 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 according to whether each reference calculation point can be substituted into the linear model, wherein the type includes a substitutable point and an unsubstitutable 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] The linear model is subjected to a linearization test 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 comprises:

[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] Wherein, determining 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 according to 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 usage of carbon emission energy to the usage of renewable electric energy per unit time within the target period;

[0038] A testing 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 to perform a linearization test on the linear model according to the variation curve;

[0039] The optimization unit is used to determine the optimal carbon-to-electricity ratio according to 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 potential for regulating carbon-to-electricity.

[0040] In another aspect, an embodiment of the present invention provides an electronic device, including: 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 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;

[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 usage of carbon emission energy to the usage of renewable electric energy per unit time within the target period;

[0045] According to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio are constructed, and a linearization test of the linear model is performed according to the change curve;

[0046] If it is determined that the linearization test passes, and the carbon-to-electricity ratio is judged to affect 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 potential for regulating carbon-to-electricity.

[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 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;

[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 usage of carbon emission energy to the usage of renewable electric energy per unit time within the target period;

[0051] According to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio are constructed, and a linearization test of the linear model is performed according to the change curve;

[0052] If it is determined that the linearization test passes, and the carbon-to-electricity ratio is judged to affect 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 potential for regulating carbon-to-electricity.

[0053] The carbon-electricity potential adjustment method and device provided in the 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 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 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 adjustment of the 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 use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, 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 in one embodiment of the present invention.

[0056] Figure 2 It is a structural schematic diagram of a carbon electricity 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] In order to make the purpose, technical scheme and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with 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, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other arbitrarily.

[0059] Figure 1 is a flow chart of a carbon electricity potential adjustment method provided by an embodiment of the present invention, such as 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 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 to the usage of renewable electric energy per unit time within the target time period.

[0062] Step S2: construct 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 emission coefficient in the corresponding time period, and perform 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 the carbon-to-electricity ratio is judged to affect 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 potential for regulating carbon-to-electricity.

[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 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 within the target period. The device may be a computer device that executes the method, etc. The energy consumption data within the enterprise park may be obtained first, and then the carbon emission coefficient Pf may be calculated based on the energy consumption data. The carbon emission coefficient threshold Pfz may be set independently according to actual conditions.

[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 factor Pf based on the fuel consumption Ry and natural gas consumption Tr;

[0068] The carbon emission factor Pf is calculated by 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 of the carbon emission coefficient Pf in the company's park will be continuously monitored.

[0072] The carbon emission coefficient is subjected to carbon over-emission analysis, including:

[0073] The time period and number of times that the carbon emission coefficient exceeds the carbon emission coefficient threshold are obtained within the 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 time length 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 value to obtain an excess mean difference;

[0077] The excess mean difference is processed by ratio processing with the carbon emission coefficient threshold to obtain a degree ratio mean Cdb;

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

[0079]

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

[0081] According to the comparison result of the carbon emission degree coefficient and the carbon emission degree coefficient threshold, the carbon excess emission analysis result is determined, specifically including:

[0082] The carbon emission degree coefficient Cd is compared with the carbon emission degree coefficient threshold Yz; the carbon emission degree coefficient threshold can be independently set 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 according to the carbon over-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 according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, and performs a linearization test on the linear model according to 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 according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period includes:

[0086] Connect the two end points 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 straight lines to obtain a linear reference line, and obtain a 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 comprises:

[0090] A preset number of reference calculation points are selected on the change curve, and the type of each reference calculation point is determined according to whether each reference calculation point can be substituted into the linear model, and the type includes a point that can be substituted into and a point that cannot be substituted into; the preset number can be set independently according to actual conditions. Referring to the above Y=Kx+b, if the equation is satisfied, it means that the reference calculation point can be substituted into the linear model; if the equation is not satisfied, it means 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 linearization test of the linear model is performed according to the non-substitutable amount ratio and the non-substitutable value ratio. The linearization test of the linear model according to the non-substitutable amount ratio and the non-substitutable value ratio includes:

[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 based on 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, it is determined that the linearization test passes. 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 does not hold and the linearization test fails.

[0102] In the above step S3, if the device determines that the linearization test passes, and judges that the carbon-to-electricity ratio affects carbon emissions according to the monotonicity of the linear model, the optimal carbon-to-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-to-electricity ratio to achieve the potential of regulating carbon-to-electricity. 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 comprises:

[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 taken 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, accurately calculate carbon emission coefficients, and combine the analysis of carbon emissions in different time periods and energy structures, such as calculating the excess time ratio, the number of excess emissions ratio, and the degree ratio average, to 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 environmental and economic risks due to excessive carbon emissions;

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

[0111] The carbon-electricity potential adjustment method provided in 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; a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-electricity ratio are constructed according to the carbon-electricity ratio and the carbon emission coefficient within the corresponding time period, 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 adjustment of the 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; the description may refer 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 time length 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 over-discharge number ratio; 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 the exceeding time periods is calculated, and the average is taken to obtain the exceeding mean value; the above-mentioned embodiment can be referred to for description and will not be described in detail.

[0116] The excess mean value is subjected to difference processing with the carbon emission coefficient threshold value to obtain the excess mean difference; the description may refer to the above embodiment and will not be repeated here.

[0117] The excess mean difference is processed by ratio processing with the carbon emission coefficient threshold to obtain the degree ratio mean; the description can be made with reference to the above embodiment and will not be repeated here.

[0118] The carbon emission degree coefficient is calculated according to the exceeding time ratio, the exceeding discharge times 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 according to the comparison result between the carbon emission degree coefficient and the carbon emission degree coefficient threshold. The above description can be made with reference to the above embodiment and will not be repeated here.

[0120] Furthermore, obtaining the carbon-to-electricity ratio within the target period according to the carbon excess emission analysis result 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. The above-mentioned embodiment can be referred to for explanation and will not be described in detail.

[0122] Furthermore, the changing curve and the linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio are constructed according to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, including:

[0123] The two end points of the change 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. The above-mentioned embodiment can be referred to for explanation, and no further description is given.

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

[0125] A preset number of reference calculation points are selected on the change curve, and the type of each reference calculation point is determined according to whether each reference calculation point can be substituted into the linear model, and the type includes points that can be substituted into and points that cannot be substituted into. Please refer to the above embodiment for description and no further details will be given.

[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 described in detail.

[0127] 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. This can be described with reference to the above embodiments and will not be repeated here.

[0128] The linear value and the actual value are subjected to difference processing, and the absolute value of the difference is taken to obtain a substitution difference, and the substitution difference and the linear value are subjected to ratio processing to obtain a substitution deviation ratio of the non-substitutable point; the above-mentioned embodiment can be referred to for description and will not be repeated here.

[0129] The substitution deviation ratios of all non-substitutable points are summed and averaged to obtain the non-substitutable value ratio; the above-mentioned embodiment can be referred to for description and will not be described in detail.

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

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

[0132] The substitution performance value is calculated according to the non-substitutable amount ratio and the non-substitutable value ratio; the above-mentioned embodiment can be referred to for explanation and will not be described in detail.

[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. The above description can be referred to, and no further details are given.

[0134] Further, 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 value; the above-mentioned embodiment can be referred to for description 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. The above-mentioned embodiment can be referred to for explanation and will not be described in detail.

[0137] Figure 2 is a schematic diagram of the structure of a carbon electricity potential regulating device provided by an embodiment of the present invention, such as Figure 2 As shown, the carbon electricity potential adjustment device provided in 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-to-electricity ratio and 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 based on the monotonicity of the linear model, it is judged that the carbon-to-electricity ratio affects carbon emissions, and optimize the renewable electric energy generation based on the optimal carbon-to-electricity ratio to achieve the carbon-to-electricity potential regulation.

[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-to-electricity ratio and 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 based on the monotonicity of the linear model, it is judged that the carbon-to-electricity ratio affects carbon emissions, and optimize the renewable electric energy generation based on the optimal carbon-to-electricity ratio to achieve the carbon-to-electricity potential regulation.

[0140] The carbon-electricity potential regulating device provided in an embodiment of the present invention performs 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 obtains the carbon-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-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; a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-electricity ratio are constructed based on the carbon-electricity ratio and the carbon emission coefficient within the corresponding time period, 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 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 (processor) 301, a memory (memory) 302 and a bus 303;

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

[0144] The processor 301 is used 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 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;

[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 usage of carbon emission energy to the usage of renewable electric energy per unit time within the target period;

[0147] According to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio are constructed, and a linearization test of the linear model is performed according to the change curve;

[0148] If it is determined that the linearization test passes, and the carbon-to-electricity ratio is judged to affect 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 potential for regulating carbon-to-electricity.

[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 by the above 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 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;

[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 usage of carbon emission energy to the usage of renewable electric energy per unit time within the target period;

[0152] According to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio are constructed, and a linearization test of the linear model is performed according to the change curve;

[0153] If it is determined that the linearization test passes, and the carbon-to-electricity ratio is judged to affect 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 potential for regulating carbon-to-electricity.

[0154] This embodiment provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein the computer program enables the computer to execute the methods provided by 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 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;

[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 usage of carbon emission energy to the usage of renewable electric energy per unit time within the target period;

[0157] According to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio are constructed, and a linearization test of the linear model is performed according to the change curve;

[0158] If it is determined that the linearization test passes, and the carbon-to-electricity ratio is judged to affect 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 potential for regulating carbon-to-electricity.

[0159] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, 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 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 flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, 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 flowchart and / or block diagram. 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 capable of directing a computer or other programmable data processing device to operate 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 A 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 operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0163] In the description of this specification, the description with reference to the terms "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, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[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 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; 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; According to the carbon-to-electricity ratio and the carbon emission coefficient in the corresponding time period, a change curve and a linear model reflecting the change of the carbon emission coefficient with the carbon-to-electricity ratio are constructed, and a linearization test of the linear model is performed according to the change curve; If it is determined that the linearization test passes, and the carbon-to-electricity ratio is judged to affect 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 potential for regulating carbon-to-electricity.

2. The carbon electricity potential adjustment method according to claim 1, characterized in that: The carbon emission coefficient is subjected to carbon over-emission analysis, including: Obtaining the time period and number of times that 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 value of the exceeding time, and the ratio of the mean value of the exceeding time to the corresponding time length 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 over-discharge ratio; Calculate the sum of the carbon emission coefficients corresponding to all the exceeding periods and take the average to get the exceeding mean value; Performing difference processing on the excess mean value and the carbon emission coefficient threshold value to obtain an excess mean difference; The excess mean difference is processed by ratio processing with the carbon emission coefficient threshold to obtain a degree ratio mean; Calculate the carbon emission degree coefficient according to the excess time ratio, the excess discharge frequency ratio and the degree ratio average; The carbon over-emission analysis result is determined according to a comparison result between 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 according to the carbon over-emission analysis result 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 step of 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 includes: 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.

5. 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 change curve comprises: Selecting a preset number of reference calculation points on the change curve, and determining the type of each reference calculation point according to whether each reference calculation point can be substituted into the linear model, wherein the type includes a substitutable point and an unsubstitutable 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; The linear model is subjected to a linearization test according to the non-substitutable amount ratio and the non-substitutable value ratio.

6. The carbon electricity potential adjustment method according to claim 5, 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 comprises: 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.

7. The carbon electricity potential adjustment method according to any one of claims 1 to 6, characterized in that: The determining the optimal carbon-to-electricity ratio according to the change curve and the carbon emission coefficient threshold comprises: 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.

8. A carbon electricity potential regulating device, characterized in that: include: 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 according to the carbon over-emission analysis result; 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; A testing 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 to perform a linearization test on the linear model according to the variation curve; The optimization unit is used to determine the optimal carbon-to-electricity ratio according to 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 potential for regulating carbon-to-electricity.

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

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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