CN117764798A - Method and system for checking carbon meter measurement data of user - Google Patents

Abstract

The invention provides a method and system for verifying user carbon meter measurement data. The method includes: obtaining the carbon emission measurement values of the current update cycle of all user carbon meters in the current regional power grid; constructing a set of carbon emission measurement values for each group; and targeting each group of carbon emissions. The set of emission measurement values corresponds to a set of equations, and the intermediate quantities of each group are solved through each set of equations; it is judged whether the intermediate quantities of each group are out of tolerance. If so, the set of carbon emission measurement values corresponding to the out-of-tolerance intermediate quantities is calculated. Correction, so as to achieve the purpose of checking the measurement results of user carbon meters, so as to be able to identify and correct the out-of-tolerance results in the carbon emissions of user carbon meters caused by network, communication, delay, etc., making up for the current user carbon meter carbon emissions. There is a gap in the lack of verification methods for emissions.

Description

A verification method and system for user carbon meter measurement data

Technical field

The present invention relates to the technical field of carbon emission measurement, and in particular to a verification method and system for user carbon meter measurement data.

Background technique

Accurate measurement of carbon emissions is an important basis for understanding the emission contributions of each participant in the energy system and clarifying emissions reduction responsibilities. With the development of carbon flow theory, by obtaining the carbon emission intensity of the power supply, the carbon emission factors of each node in the entire network can be calculated. This can be combined with the user's electric energy meter to form a carbon meter, which can measure the carbon emissions generated by the user's energy consumption. Emissions are measured.

The measurement of carbon emissions by the user carbon meter requires obtaining the carbon emission factor of the current access node. This factor can be the annual average published by the relevant organization, or it can be a dynamic area issued by the station area or dispatch center and updated in real time. average value. However, due to the influence of network, communication, delay and other aspects, the carbon emission factor value used when updating the carbon emission results of the carbon table may have coding errors, bad data, failure to update in time, etc., which will lead to the output carbon emissions. The measurement results are wrong.

The current accounting and verification of carbon emissions is mainly aimed at coal power companies using flow meters or weighing methods to determine emissions. The verification mainly determines whether the emissions of coal power companies are within the allowable range. There is a lack of analysis based on carbon flow theory. The method used to check the measurement results of carbon meters may lead to inaccurate calculation results of users’ carbon emissions.

The calculation and acquisition of carbon emissions are currently mainly divided into two categories. One is to calculate the emissions of coal power enterprises, including weighing pulverized coal and measuring combustion emissions with flow meters to calculate emissions; Based on this, the carbon emissions from the power generation part are allocated to users through the carbon flow theory. The carbon meter uses node carbon emission factors and user electricity consumption to calculate the user's carbon emissions. It can understand the emission contribution of each user and clarify the responsibility for emission reduction.

The accounting and verification of carbon emissions in the existing technology are mainly aimed at the accounting of coal power enterprise emissions and verification of whether they exceed standards, and there is a lack of verification methods for user carbon meter measurement results.

Contents of the invention

The technical problem to be solved by the present invention is to provide a method and system for calibrating user carbon meter measurement data, which calculates the intermediate value through the carbon emissions of each user and verifies whether an out-of-tolerance occurs. If an out-of-tolerance occurs, a new carbon value is calculated. emissions to correct the original results to verify the measurement results of the user's carbon meter.

In a first aspect, the present invention provides a method for verifying user carbon meter measurement data, which includes the following steps:

S101. Obtain the carbon emission measurement values C _i of all users' carbon tables in the current regional power grid for a total of n current update cycles , i =1,2,...,n;

S102. Construct n -3 m +1 sets of carbon emission measurement value sets Z _{p, ,} p=1,2,…, n -3 m +1, m is the number of power sources that produce carbon emissions in the current regional power grid, m<<n, that is, the 1st to 3m carbon emission measurement values are selected as the first group Set Z ₁ of carbon emission measurement values, and select the 2nd to 3m+1, 3~3m+2,…, n -3 m +1~ n carbon emission measurement values as the 2nd, 3rd,…, n − 3 m +1 set of carbon emission measurement values Z ₂ , Z ₃ ,..., Z _{n -3m+1} ;

S103. For each set of carbon emission measurement values Z _p , a set of equations Θ _p is formed, p =1,2,…, n- 3 m +1; ;

in:

C _{p + j -1} is the carbon emission measurement value of the p + j -1th user;

T is the carbon emission factor update cycle;

K itself has no meaning and is only a symbol for simplified expressions. The superscripts p and j represent the variables in the j-th equation in the system of equations Θp. The 3m variables are summarized into the following 4 Ks: ,/> , ;

G _{p + j -1} and B _{p + j -1} are the equivalent conductance and susceptance of the p + j -1th user respectively, which are calculated through the regional grid impedance matrix. The regional grid impedance matrix is obtained from the grid dispatch center;

They are the equivalent resistance and equivalent reactance between the p + j -1th user and the kth power supply respectively, which are calculated by eliminating passive nodes by reducing the order of the regional grid impedance matrix Kron;

The carbon emission intensity of the kth power source that produces carbon emissions calculated for the equation system Θ _p ;

are the d -axis and q -axis components of the k -th power supply output current calculated by the equation group Θ _p ;

S104. Solve the p -th group of intermediate quantities X _p through each system of equations Θ _p :

;

The middle amount of each group X _p is , /> and/> There are a total of 3m variables (k=1,2,…m) and 3m equations, and the unique solution can be found through numerical methods or least squares methods;

S105 _{. Determine whether each intermediate quantity X p is out of tolerance. If so, correct the set of carbon emission measurement values Z s} corresponding to _the out _- of - tolerance intermediate _quantity s∈p

In a second aspect, the present invention provides a verification system for user carbon meter measurement data, including:

The acquisition module is used to obtain the carbon emission measurement values C _i of all users' carbon tables in the current regional power grid for a total of n current update cycles , i =1,2,...,n;

Set building module, used to build n -3 m +1 sets of carbon emission measurement value sets Z _p , , p=1,2,…, n -3 m +1, m is the number of power sources that produce carbon emissions in the current regional power grid, m<<n, that is, the 1st to 3m carbon emission measurement values are selected as the first group Set Z ₁ of carbon emission measurement values, and select the 2nd to 3m+1, 3~3m+2,..., n- 3 m +1~ n carbon emission measurement values as the 2nd, 3rd,..., n- 3 m +1 set of carbon emission measurement values Z ₂ , Z ₃ ,..., Z _{n -3m+1} ;

The equation system building module is used to form an equation system Θ _p for each set of carbon emission measurement values Z _p , p =1,2,…, n- 3 m +1;

;

in:

C _{p + j -1} is the carbon emission measurement value of the p + j -1th user;

T is the carbon emission factor update cycle;

K itself has no meaning and is only a symbol for simplified expressions. The superscripts p and j represent the variables in the j-th equation in the system of equations Θp; the 3m variables are summarized into the following 4 Ks: ,/> , ,/> ;

G _{p + j -1} and B _{p + j -1} are the equivalent conductance and susceptance of the p + j -1th user respectively, which are calculated through the regional grid impedance matrix. The regional grid impedance matrix is obtained from the grid dispatch center;

They are the equivalent resistance and equivalent reactance between the p+j -1th user and the kth power supply respectively, which are calculated by eliminating passive nodes by reducing the order of the regional grid impedance matrix Kron;

The carbon emission intensity of the kth power source that produces carbon emissions calculated for the equation system Θ _p ;

are respectively the d and q -axis components of the k -th power supply output current calculated by the equation system Θ _p ;

Solving module for solving the p -th group of intermediate quantities X _p through each system of equations Θ _p :

;

The middle amount of each group X _p is , /> and/> There are a total of 3m variables (k=1,2,…m) and 3m equations, and the unique solution can be found through numerical methods or least squares methods;

Correction module, _used to determine _whether each intermediate quantity X _p is out of tolerance. If so , correct the carbon emission measurement value set Z _s corresponding to the out-of-tolerance intermediate quantity Intermediate quantity, s∈p.

One or more technical solutions provided in the embodiments of the present invention at least have the following technical effects or advantages: collect the carbon emissions of each user to calculate the intermediate value through carbon flow theory, and use a support vector machine to check whether an out-of-tolerance occurs. For out-of-tolerance calculations, new carbon emissions are calculated to correct the original results. It has the advantages of easy implementation and high sensitivity. It can identify and correct out-of-tolerance results in the carbon emissions of user carbon meters caused by network, communication, delay factors, etc. , which fills the gap of the current lack of verification methods for carbon emissions in user carbon meters.

The above description is only an overview of the technical solution of the present invention. In order to have a clearer understanding of the technical means of the present invention, it can be implemented according to the content of the description, and in order to make the above and other objects, features and advantages of the present invention more obvious and understandable. , the specific embodiments of the present invention are listed below.

Description of the drawings

The present invention will be further described below with reference to the accompanying drawings and embodiments.

Figure 1 is a schematic framework diagram of the system of the present invention;

Figure 2 is a flow chart of the method in Embodiment 1 of the present invention;

Figure 3 is a schematic structural diagram of the system in Embodiment 2 of the present invention.

Detailed ways

The embodiment of the present application provides a method and system for verifying user carbon meter measurement data, calculating the intermediate value through the carbon emissions of each user and verifying whether there is an out-of-tolerance. If an out-of-tolerance occurs, a new carbon emission amount is calculated to correct it. The original results can be used to verify the user's carbon meter measurement results.

The general idea of the technical solution in the embodiment of this application is as follows: collect the intermediate value of each user's carbon emission calculation and check whether there is an out-of-tolerance. If there is an out-of-tolerance, calculate a new carbon emission to correct the original result, so as to realize the user's Calibration of carbon meter measurement results, so that out-of-tolerance results in user carbon meter carbon emissions caused by network, communication, delays, etc. can be identified and corrected, filling the gap of the current lack of calibration methods for user carbon meter carbon emissions. . Among them, collecting the carbon emissions of each user to calculate the intermediate values and verifying whether there is an out-of-tolerance means: using network parameters and the carbon emissions of each user in a cycle to back-calculate multiple sets of intermediate quantities (including the emissions of each emission power source) based on carbon flow theory. Carbon emission intensity, current values of d-axis and q-axis); if there are abnormal emission measurement values, it will lead to abnormal calculation results of some groups of intermediate quantities, so that there will be some normal values (or very close to normal values) of the intermediate quantities. ) and a part of the intermediate quantity outliers (a bunch of intermediate quantities far away from the normal value), the calculation results of the intermediate quantity are used as multi-dimensional feature parameters, and the support vector machine can be used to separate the classes of normal values of the intermediate quantity from the outliers, and use the intermediate quantity The average of the normal values corrects the abnormal values, thereby correcting the abnormal user carbon emissions.

Before introducing specific embodiments, first introduce the system framework corresponding to the method of the embodiment of this application. As shown in Figure 1, the system is roughly divided into the following two parts:

The user carbon meter is used to measure the user's carbon emissions. Due to the influence of network, communication, delay and other aspects, the carbon emission factor value used when the carbon meter updates the carbon emission results may have coding errors or corruption. The data is not updated in a timely manner, which leads to incorrect output carbon emission results;

The verification system of user carbon meter measurement data calculates the intermediate value through the carbon emissions of each user and checks whether there is an excess. If an excess occurs, new carbon emissions are calculated to correct the original results and realize user carbon meter measurement. Calibration of results.

Embodiment 1

As shown in Figure 2, this embodiment provides a method for verifying user carbon meter measurement data, which includes the following steps:

S101. Obtain the carbon emission measurement values C _i of all users' carbon tables in the current regional power grid for a total of n current update cycles , i =1,2,...,n;

Among them, the current regional power grid is an area that technology users are concerned about, which can be as large as a certain province or a certain city, or as small as a certain community or a certain unit. Since the entire power grid is interconnected, theoretically a user's carbon emission factor is related to thermal power plants across the country. This will lead to excessive calculations. Therefore, it is necessary to limit the regional power grid. At the point where the current regional power grid is connected to other regional power grids or The tie lines are equalized to obtain the carbon emission intensity of the equivalent power supply.

S102. Construct n −3 m +1 sets of carbon emission measurement value sets Z _{p, ,} p=1,2,…, n -3 m +1, m is the number of power sources that produce carbon emissions in the current regional power grid, m<<n, that is, the 1st to 3m carbon emission measurement values are selected as the first group Set Z ₁ of carbon emission measurement values, and select the 2nd to 3m+1, 3~3m+2,…, n -3 m +1~ n carbon emission measurement values as the 2nd, 3rd,…, n − 3 m +1 set of carbon emission measurement values Z ₂ , Z ₃ ,..., Z _{n -3m+1} ;

S103. For each set of carbon emission measurement values Z _p , a set of equations Θ _p is formed, p =1,2,…, n -3 m +1;

;

in:

C _{p + j -1} is the carbon emission measurement value of the p + j -1th user;

T is the carbon emission factor update cycle;

K itself has no meaning and is only a symbol for simplified expressions. The superscripts p and j represent the variables in the j-th equation in the system of equations Θp; in the derivation of the formula, the 3m variables can be summarized into the following 4 Ks: , ,/> ,/> ;

G _{p + j -1} and B _{p + j -1} are the equivalent conductance and susceptance of the p + j -1th user respectively, which are calculated through the regional grid impedance matrix. The regional grid impedance matrix is obtained from the grid dispatch center;

They are the equivalent resistance and equivalent reactance between the p+j -1th user and the kth power supply respectively, which are calculated by eliminating passive nodes by reducing the order of the regional grid impedance matrix Kron;

The carbon emission intensity of the kth power source that produces carbon emissions calculated for the equation system Θ _p ;

are respectively the d and q -axis components of the k -th power supply output current calculated by the equation system Θ _p ;

S104. Solve the p -th group of intermediate quantities X _p through each system of equations Θ _p :

;

The middle amount of each group X _p is , /> and/> There are a total of 3m variables (k=1,2,…m) and 3m equations, and the unique solution can be found through numerical methods or least squares methods;

S105 _{. Determine whether each intermediate quantity X p is out of tolerance. If so, correct the set of carbon emission measurement values Z s} corresponding to _the out _- of - tolerance intermediate _quantity s∈p.

The so-called out-of-tolerance refers to an abnormal emission measurement value. Whether the emission measurement value is abnormal depends on the error requirements. For example, for a carbon meter with an error of 1%, the calculation result deviates from the normal mean value of the emission measurement value by 1%. % (or set a certain margin, such as 1.1%) is considered abnormal.

Take m=3 as an example. If m=3, then each set of carbon emission measurement values includes 9 carbon emission measurement values, and a total of n -3 m +1 = n-8 sets of carbon emission measurement values can be constructed. Finally, A set of carbon emission measurement values can be recorded as Z _{n -8} ; and each equation set consists of 9 equations.

Then in step S102, the 1st to 9th carbon emission measurement values are selected as the first set of carbon emission measurement values Z ₁ , and the 2nd to 10th carbon emission measurement values are selected as the second set of carbon emission measurement values Z ₂ , The 3rd to 11th carbon emission measurement values are used as the third group of carbon emission measurement value set Z ₃ , and the n-8 to nth carbon emission measurement values are used as the n-8th group of carbon emission measurement value set Z _n-8 , then: ;/> ;/> ;/> ;

In the step S103, the first set of equations _Θ1 is composed of:

;

The second system of equations Θ ₂ is composed of: ;

The third system of equations Θ ₃ is composed of: ;

The n -3m+1 equation system Θ _{n -3m+1} is composed of:

;

in, ,/> ,/> , ,/> ,/> , ,/> ;

In the step S104, the intermediate quantities X ₁ , X ₂ , X ₃ ,..., X _{n -3m+1} are respectively: ;/> ; ;/> .

Further, the step S105 is specifically:

Use support vector machine to train the sample set { X _p }, p =1,2,…, n -3 m +1;

After _training , the classification function f (

Determine whether there is an out _- of _- tolerance _variable Corrected to/> ,in: ;

,/> ,/> , ;

;/> ;/> ; ;

In the formula, The carbon emission intensity of the k -th power source that produces carbon emissions calculated for the equation system Θ _j ;/> ,/> They are the d and q -axis components of the output current of the k -th power supply calculated by the equation set Θ _j respectively;/> ,/> ,/> are the mean of all normal values after excluding outliers,/> Represents the middle quantity of the mean of each element of all normal values after excluding outliers.

Based on the same inventive concept, this application also provides a system corresponding to the method in Embodiment 1. Please refer to Embodiment 2 for details.

Embodiment 2

As shown in Figure 3, this embodiment provides a verification system for user carbon meter measurement data, including:

The acquisition module is used to obtain the carbon emission measurement values C _i of all users' carbon tables in the current regional power grid for a total of n current update cycles , i =1,2,...,n;

Set building module, used to build n -3 m +1 sets of carbon emission measurement value sets Z _p , , p=1,2,…, n -3 m +1, m is the number of power sources that produce carbon emissions in the current regional power grid, m<<n, that is, the 1st to 3m carbon emission measurement values are selected as the first group Set Z ₁ of carbon emission measurement values, and select the 2nd to 3m+1, 3~3m+2,..., n -3 m +1~ n carbon emission measurement values as the 2nd, 3rd,..., n - 3 m +1 set of carbon emission measurement values Z ₂ , Z ₃ ,..., Z _{n -3m+1} ;

The equation system building module is used to form an equation system Θ _p for each set of carbon emission measurement values Z _p , p =1,2,…, n -3 m +1; ;

in:

C _{p + j -1} is the carbon emission measurement value of the p + j -1th user;

T is the carbon emission factor update cycle;

K itself has no meaning and is only a symbol for simplified expressions. The superscripts p and j represent the variables in the j-th equation in the system of equations Θp; in the derivation of the formula, the 3m variables can be summarized into the following 4 Ks: , ,/> ,/> ;

G _{p + j -1} and B _{p + j -1} are the equivalent conductance and susceptance of the p + j -1th user respectively, which are calculated through the regional grid impedance matrix. The regional grid impedance matrix is obtained from the grid dispatch center;

They are the equivalent resistance and equivalent reactance between the p+j -1th user and the kth power supply respectively, which are calculated by eliminating passive nodes by reducing the order of the regional grid impedance matrix Kron;

The carbon emission intensity of the kth power source that produces carbon emissions calculated for the equation system Θ _p ;

are respectively the d and q -axis components of the k -th power supply output current calculated by the equation system Θ _p ;

Solving module for solving the p -th group of intermediate quantities X _p through each system of equations Θ _p :

;

Each group _of intermediate _{quantities ​} ​ _​

Correction module, _used to determine _whether each intermediate quantity X _p is out of tolerance. If so , correct the carbon emission measurement value set Z _s corresponding to the out-of-tolerance intermediate quantity Intermediate quantity, s∈p.

Further, the correction module specifically performs the following process:

Use support vector machine to train the sample set { X _p }, p =1,2,…, n -3 m +1;

After _training , the classification function f (

Determine whether there is an out _- of _- tolerance _variable Corrected to/> ,in: ;

,/> ,/> , ,/> ;/> ; ;/> ;

In the formula, The carbon emission intensity of the k -th power source that produces carbon emissions calculated for the equation system Θ _j ;/> ,/> They are the d and q -axis components of the output current of the k -th power supply calculated by the equation set Θ _j respectively;/> ,/> ,/> are the mean of all normal values after excluding outliers,/> Represents the middle quantity of the mean of each element of all normal values after excluding outliers.

Since the system introduced in Embodiment 2 of the present invention is a device used to implement the method in Embodiment 1 of the present invention, those skilled in the art can understand the specific structure and modifications of the device based on the method introduced in Embodiment 1 of the present invention. , so we won’t go into details here. All devices used in the method of Embodiment 1 of the present invention fall within the scope of protection of the present invention.

The technical solutions provided in the embodiments of this application at least have the following technical effects or advantages: collect the carbon emissions of each user to calculate the intermediate value and verify whether there is an out-of-tolerance; if an out-of-tolerance occurs, calculate a new carbon emission to correct the original As a result, out-of-tolerance results in carbon emissions of user carbon meters caused by network, communication, delay factors, etc. can be identified and corrected, filling the gap of the current lack of verification methods for carbon emissions of user carbon meters.

Although the specific embodiments of the present invention have been described above, those skilled in the art should understand that the specific embodiments we have described are only illustrative and are not used to limit the scope of the present invention. Those skilled in the art Equivalent modifications and changes made by skilled persons in accordance with the spirit of the present invention shall be covered by the scope of protection of the claims of the present invention.

Claims (4)

1. A checking method of user carbon meter measurement data is characterized in that: comprising the following steps:

s101, acquiring carbon emission metering values of all user carbon tables of a current regional power grid in n current update periodsC _i ，i=1,2,…,n；

s102, constructionn-3m+1 group of carbon emission measurement value setsZ _{p， ，} p=1,2,…,n-3m+1, m is the number of power supplies generating carbon emission in the current regional power grid, m < < n >, i.e. the 1 st to 3m carbon emission measurement values are selected as the 1 st group carbon emission measurement value setZ ₁Sequentially selecting the 2-3m+1, 3-3m+2, …,n-3m+1~nCarbon emission measurement values were defined as 2, 3, … …,n-3m+1 group of carbon emission measurement value setsZ ₂、Z ₃、……、Z _n-3m+1；

S103, for each group of carbon emission measurement value setsZ _p corresponding constitutionA first partthe equation set theta _p ，p=1,2,…,n-3m+1；

；

Wherein:C _p+j-1Is the firstp+j-carbon emission measurement values of 1 user;

t is the carbon emission factor update period;

K itself is not meant, but simply the sign of the simplified expression, the superscript p, j represents the variable in the j-th equation in the set of equations Θp, and 3m variables are generalized to 4K as follows:

，/>，/>，；

G _p+j-1AndB _p+j-1respectively the firstp+j-1 user's equivalent conductance and susceptance, calculated by a regional grid impedance matrix obtained from a grid dispatching centre;

respectively the firstp+j-1 user and a third userkThe equivalent resistance and the equivalent reactance between the power supplies are obtained through calculation of the region power grid impedance matrix Kron reduced order elimination passive nodes;

For equation set theta _p Calculated firstkthe carbon emission intensity of the individual carbon emission generating power sources;

respectively the equation set theta _p Calculated firstkthe power supply outputs currentd、qan axis component;

s104, passing through each equation set Θ _p solving for the firstpGroup intermediate quantityX _p ：；

Intermediate quantity per groupX _p Has the following components 、/>A total of 3m variables (k=1, 2, … m), and 3m equations, and find each equation set Θ _p is a unique solution to (a);

s105, judging each intermediate quantityX _p If the out-of-tolerance occurs, the out-of-tolerance intermediate quantity is calculatedX _s Corresponding carbon emission measurement value setModified as/>The method comprises the steps of carrying out a first treatment on the surface of the Wherein s is the s-th out-of-tolerance intermediate quantity, s epsilon p.

2. The method for checking the metering data of the carbon gauge of the user according to claim 1, wherein the method comprises the following steps: the step S105 specifically includes:

the support vector machine is adopted to { sample set }X _p The training is performed and the training is performed,p=1,2,…,n-3m+1；

Classification function after trainingf(X _s )<0，sÎ Ω, where Ω is the set of out-of-tolerance variables and the number of elements isr；

judging whether an out-of-tolerance variable existsX _s If yes, judging the correspondingZ _s Out of toleranceZ _s 'And willCorrected to/>Wherein: /(I)；

，/>，/>，，/>；/>；；/>；

In the method, in the process of the invention,For equation set theta _j Calculated firstkthe carbon emission intensity of the individual carbon emission generating power sources; /(I)、/>respectively the equation set theta _j Calculated firstkthe power supply outputs currentd、qAn axis component; /(I)、/>、/>Mean value of all normal values after excluding abnormal values,/>, respectivelyRepresents the intermediate quantity of the mean value of each element of all normal values after the exception value is removed.

3. A checking system of user carbon meter measurement data is characterized in that: comprising the following steps:

The acquisition module is used for acquiring the carbon emission metering values of all the user carbon tables of the current regional power grid for n current updating periodsC _i ，i=1,2,…,n；

A set construction module for constructingn-3m+1 group of carbon emission measurement value setsZ _p ， ，p=1,2,…,n-3m+1, m is the number of power supplies generating carbon emission in the current regional power grid, m < < n >, i.e. the 1 st to 3m carbon emission measurement values are selected as the 1 st group carbon emission measurement value setZ ₁Sequentially selecting the 2-3m+1, 3-3m+2, …,n-3m+1~nCarbon emission measurement values were defined as 2, 3, … …,n-3m+1 group of carbon emission measurement value setsZ ₂、Z ₃、……、Z _n-3m+1；

an equation set construction module for measuring a set of values for each set of carbon emissionsZ _p corresponding constitutionA first partthe equation set theta _p ，p=1,2,…,n-3m+1；；

Wherein:

C _p+j-1Is the firstp+j-carbon emission measurement values of 1 user;

t is the carbon emission factor update period;

K itself is not meant, but simply the sign of the simplified expression, the superscript p, j represents the variable in the j-th equation in the set of equations Θp, and 3m variables are generalized to 4K as follows:，/>，，/>；

G _p+j-1AndB _p+j-1respectively the firstp+j-1 user's equivalent conductance and susceptance, calculated by a regional grid impedance matrix obtained from a grid dispatching centre;

respectively the firstp+j-1 user and a third userkThe equivalent resistance and the equivalent reactance between the power supplies are obtained through calculation of the region power grid impedance matrix Kron reduced order elimination passive nodes;

For equation set theta _p Calculated firstkthe carbon emission intensity of the individual carbon emission generating power sources;

respectively the equation set theta _p Calculated firstkthe power supply outputs currentd、qan axis component;

a solving module for passing each equation set theta _p solving for the firstpGroup intermediate quantityX _p ：；

Intermediate quantity per groupX _p Has the following components 、/>And/>A total of 3m variables (k=1, 2, … m), and 3m equations, and find each equation set Θ _p is a unique solution to (a);

Correction module for judging each intermediate quantityX _p If the out-of-tolerance occurs, the out-of-tolerance intermediate quantity is calculatedX _s Corresponding carbon emission measurement value setZ _s Corrected toZ _s '。

4. a system for checking the metering data of a user's carbon meter according to claim 3, wherein: the correction module specifically executes the following processes:

the support vector machine is adopted to { sample set }X _p The training is performed and the training is performed,p=1,2,…,n-3m+1；

Classification function after trainingf(X _s )<0，sÎ Ω, where Ω is the set of out-of-tolerance variables and the number of elements isr；

judging whether an out-of-tolerance variable existsX _s If yes, judging the correspondingZ _s Out of toleranceZ _s 'And willCorrected to/>Wherein: /(I)；

，/>，/>，，/>；/>；；/>；

In the method, in the process of the invention,For equation set theta _j Calculated firstkthe carbon emission intensity of the individual carbon emission generating power sources; /(I)、/>respectively the equation set theta _j Calculated firstkthe power supply outputs currentd、qAn axis component; /(I)、/>、/>Mean value of all normal values after excluding abnormal values,/>, respectivelyRepresents the intermediate quantity of the mean value of each element of all normal values after the exception value is removed.