CN117764798B - Method and system for checking carbon meter measurement data of user - Google Patents

Method and system for checking carbon meter measurement data of user Download PDF

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CN117764798B
CN117764798B CN202410194801.XA CN202410194801A CN117764798B CN 117764798 B CN117764798 B CN 117764798B CN 202410194801 A CN202410194801 A CN 202410194801A CN 117764798 B CN117764798 B CN 117764798B
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carbon emission
user
carbon
tolerance
power grid
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CN117764798A (en
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张煌辉
董小龙
方杰
董琪琪
郑迪
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Fujian Metrology Institute
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Fujian Metrology Institute
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Abstract

The invention provides a method and a system for checking measurement data of a user carbon table, wherein the method comprises the following steps: acquiring carbon emission measurement values of a current updating period of all user carbon tables of a current regional power grid; constructing a set of carbon emission measurement values of each group; correspondingly forming an equation set aiming at each group of carbon emission measurement value sets, and solving the intermediate quantity of each group through each equation set; and judging whether the intermediate quantity of each group is out of tolerance, if so, correcting a carbon emission metering value set corresponding to the out of tolerance intermediate quantity, thereby realizing the purpose of checking the metering result of the carbon table of the user, identifying the out of tolerance result in the carbon emission quantity of the carbon table of the user caused by network, communication, time delay and the like, correcting the out of tolerance result, and making up for the blank of the lack of a checking method for the carbon emission quantity of the carbon table of the current user.

Description

Method and system for checking carbon meter measurement data of user
Technical Field
The invention relates to the technical field of carbon emission measurement, in particular to a method and a system for checking carbon meter measurement data of a user.
Background
Accurate measurement of carbon emission is an important basis for grasping emission contribution and clear emission reduction responsibility of each participant in an energy system. Along with the development of a carbon flow theory, the carbon emission factors of all nodes of the whole network can be calculated by obtaining the carbon emission intensity of a power supply, so that the carbon emission factors can be combined with an electric energy meter of a user to form a carbon meter, and the carbon emission amount generated by the energy consumption of the user is measured.
The carbon emission measurement of the user carbon table needs to obtain the carbon emission factor of the current access node, and the factor can be an annual average published by related organizations, or a dynamic area average issued and updated in real time by a platform area or a dispatching center. However, due to the influence of various aspects such as network, communication and time delay, the carbon emission factor value adopted when the carbon table updates the carbon emission result may have the conditions of coding error, bad data, untimely updating and the like, thereby further causing the output carbon emission result error.
At present, the calculation and the check of the carbon emission are mainly aimed at determining the emission by a coal and electricity enterprise in a flowmeter or weighing mode, and the check is mainly used for judging whether the emission of the coal and electricity enterprise is in an allowable range or not, and the lack of a method for checking a carbon meter measurement result based on a carbon flow theory may lead to inaccurate carbon emission calculation result of a user.
The calculation and the acquisition of the carbon emission are mainly divided into two types at present, one type is to calculate the emission of coal-electricity enterprises, and the two types comprise weighing coal powder and detecting and calculating the emission by a flowmeter for combustion emission; one is to distribute the carbon emission of the power generation part to the user by the carbon flow theory. The carbon meter calculates the carbon emission of the user by using the node carbon emission factor and the user electricity consumption, so that the emission contribution of each user can be mastered, and the emission reduction responsibility can be definitely realized.
In the prior art, the calculation and the check of the carbon emission are mainly aimed at the calculation of the emission of coal and electricity enterprises and the check of whether the emission exceeds the standard, and a check method for the measurement result of a carbon meter of a user is lacked.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method and a system for checking the metering data of a user carbon meter, wherein the method and the system calculate an intermediate value through the carbon emission of each user and check whether the carbon emission exceeds the standard, and calculate a new carbon emission to correct the original result if the carbon emission exceeds the standard so as to check the metering result of the user carbon meter.
In a first aspect, the present invention provides a method for checking measurement data of a user carbon table, including the following steps:
S101, acquiring carbon emission measurement values C i, i=1, 2, … and n of all user carbon tables of a current regional power grid in n current update periods;
S102, constructing a set Z of n-3m+1 groups of carbon emission measurement values 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 a1 st group carbon emission measurement value set Z 1, and the 2 nd to 3m+1, 3 rd to 3m+2, …, n-3m+1-n carbon emission measurement values are sequentially selected as a 2 nd, 3 rd, … … th, n-3m+1 th group carbon emission measurement value set Z 2、Z3、……、Zn-3m+1;
S103, correspondingly forming an equation set theta p, p=1, 2, … and n-3m+1 for each group of carbon emission measurement value sets Z p;
Wherein:
C p+j-1 is the carbon emission measurement value of the p+j-1 th user;
t is the carbon emission factor update period;
K itself is not meant, but simply the sign of the reduced expression, and the superscript p, j represents a variable in the j-th equation in the set of equations Θp; the 3m variables are generalized to 4K as follows:
,/>
G p+j-1 and B p+j-1 are respectively equivalent conductance and susceptance of the (p+j) -1 th user, and are obtained through calculation of a regional power grid impedance matrix, wherein the regional power grid impedance matrix is obtained from a power grid dispatching center;
And/> The equivalent resistance and the equivalent reactance between the (p+j-1) th user and the kth power supply are obtained through calculation of a region power grid impedance matrix Kron reduced order elimination passive node;
the carbon emission intensity of the kth power supply is calculated for the equation set theta p;
And/> D and q axis components of the kth power supply output current calculated by the equation set Θ p respectively;
S104, solving a p-th group intermediate quantity X p through each equation set Θ p:
each group of intermediate quantity X p has 、/>And/>A total of 3m variables (k=1, 2, … m), and 3m equations, the unique solution can be found by numerical or least squares methods;
S105, judging whether the intermediate quantities X p are out of tolerance, if so, correcting a carbon emission metering value set Z s corresponding to the out of tolerance intermediate quantity X s to be Z s'; wherein X s is the s-th out-of-tolerance intermediate quantity.
In a second aspect, the present invention provides a system for checking measurement data of a carbon table of a user, including:
The acquisition module is used for acquiring carbon emission measurement values C i, i=1, 2, … and n of all user carbon tables of the current regional power grid in n current update periods;
A set construction module for constructing a set Z p of n-3m+1 groups of carbon emission measurement values, P=1, 2, …, n-3m+1, m is the number of power supplies generating carbon emission in the current regional power grid, m < < n, namely, the 1 st to 3m carbon emission measurement values are selected as a 1 st group carbon emission measurement value set Z 1, and the 2 nd to 3m+1, 3 rd to 3m+2, …, n-3m+1-n carbon emission measurement values are sequentially selected as a 2 nd, 3 rd, … … th and n-3m+1 th group carbon emission measurement value set Z 2、Z3、……、Zn-3m+1;
The equation set construction module is used for correspondingly forming an equation set theta p, p=1, 2, … and n-3m+1 for each set of carbon emission measurement value sets Z p;
Wherein:
C p+j-1 is the carbon emission measurement value of the p+j-1 th user;
t is the carbon emission factor update period;
K itself is not meant, but simply the sign of the reduced expression, and the superscript p, j represents a variable in the j-th equation in the set of equations Θp; the 3m variables are generalized to 4K as follows:
,/>
G p+j-1 and B p+j-1 are respectively equivalent conductance and susceptance of the (p+j) -1 th user, and are obtained through calculation of a regional power grid impedance matrix, wherein the regional power grid impedance matrix is obtained from a power grid dispatching center;
And/> The equivalent resistance and the equivalent reactance between the (p+j-1) th user and the kth power supply are obtained through calculation of a region power grid impedance matrix Kron reduced order elimination passive node;
the carbon emission intensity of the kth power supply is calculated for the equation set theta p;
And/> D and q axis components of the kth power supply output current calculated by the equation set Θ p respectively;
a solving module for solving the p-th group intermediate quantity X p by each equation set Θ p:
each group of intermediate quantity X p has 、/>And/>A total of 3m variables (k=1, 2, … m), and 3m equations, the unique solution can be found by numerical or least squares methods;
The correction module is used for judging whether the intermediate quantity X p is out of tolerance, if so, correcting a carbon emission metering value set Z s corresponding to the out of tolerance intermediate quantity X s to be Z s'; wherein X s is the s-th out-of-tolerance intermediate quantity.
One or more technical solutions provided in the embodiments of the present invention at least have the following technical effects or advantages: the method has the advantages of being convenient to implement, high in sensitivity and the like, can identify and correct out-of-tolerance results in the carbon emission of the user carbon table caused by network, communication, delay factors and the like, and makes up for the blank of the lack of a checking method for the carbon emission of the current user carbon table.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
The invention will be further described with reference to examples of embodiments with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a frame of a system of the present invention;
FIG. 2 is a flow chart of a method according to a first embodiment of the invention;
fig. 3 is a schematic structural diagram of a system in a second embodiment of the present invention.
Detailed Description
The embodiment of the application provides a method and a system for checking the metering data of a user carbon meter, wherein the method and the system calculate the intermediate value through the carbon emission of each user and check whether the out-of-tolerance occurs, and calculate the new carbon emission to correct the original result if the out-of-tolerance occurs, so as to check the metering result of the user carbon meter.
The technical scheme in the embodiment of the application has the following overall thought: and collecting the middle value of the carbon emission amount calculation of each user and checking whether the deviation occurs, if so, calculating the new carbon emission amount to correct the original result, and checking the carbon meter calculation result of the user, so that the deviation result in the carbon emission amount of the user caused by network, communication, time delay and the like can be identified and corrected, and the blank of the current carbon emission amount lack checking method of the user carbon meter is made up. Wherein, collecting the intermediate value of the carbon emission amount calculation of each user and checking whether the out-of-tolerance occurs means that: reversely calculating a plurality of groups of intermediate quantities (comprising carbon emission intensity of each emission power supply, current values of d axis and q axis) according to a carbon flow theory by using network parameters and carbon emission quantity of each user in one period; if the abnormal emission quantity value exists, abnormal intermediate quantity calculation results are caused, so that a part of intermediate quantity normal values (or a pile of intermediate quantity far away from the normal values) and a part of intermediate quantity abnormal values exist, the intermediate quantity calculation results are used as multidimensional characteristic parameters, the class of the intermediate quantity normal values and the abnormal values can be separated by adopting a support vector machine, the abnormal values are corrected by adopting the average value of the intermediate quantity normal values, and the abnormal carbon emission quantity of users is corrected.
Before describing a specific embodiment, a system framework corresponding to the method of the embodiment of the present application is described, as shown in fig. 1, the system is roughly divided into two parts:
The user carbon table is used for metering the carbon emission of the user, and due to the influences of various aspects such as network, communication and time delay, the carbon emission factor value adopted when the carbon table updates the carbon emission result can have the conditions of coding error, bad data, untimely updating and the like, so that the output carbon emission result is wrong;
And the checking system of the user carbon meter measurement data calculates the intermediate value through the carbon emission of each user and checks whether the deviation occurs, if so, calculates the new carbon emission to correct the original result, and realizes the checking of the user carbon meter measurement result.
Example 1
As shown in fig. 2, the present embodiment provides a method for checking the measurement data of the carbon table of the user, which includes the following steps:
S101, acquiring carbon emission measurement values C i, i=1, 2, … and n of all user carbon tables of a current regional power grid in n current update periods;
the current regional power grid is a region of interest to a technical application, and is as large as a certain province or a certain city, or as small as a certain community or a certain unit, and the like. Because the whole power grids are interconnected, the carbon emission factor of one user is related to the thermal power plants in the whole country theoretically, and the calculated amount is overlarge, the regional power grids need to be limited, and the equivalent is carried out on the points or connecting lines of the current regional power grids and other regional power grids, so that the carbon emission intensity of the equivalent power source is obtained.
S102, constructing a set Z of n-3m+1 groups of carbon emission measurement values 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 a1 st group carbon emission measurement value set Z 1, and the 2 nd to 3m+1, 3 rd to 3m+2, …, n-3m+1-n carbon emission measurement values are sequentially selected as a 2 nd, 3 rd, … … th, n-3m+1 th group carbon emission measurement value set Z 2、Z3、……、Zn-3m+1;
S103, correspondingly forming an equation set theta p, p=1, 2, … and n-3m+1 for each group of carbon emission measurement value sets Z p;
Wherein:
C p+j-1 is the carbon emission measurement value of the p+j-1 th user;
t is the carbon emission factor update period;
K itself is not meant, but simply the sign of the reduced expression, and the superscript p, j represents a variable in the j-th equation in the set of equations Θp; the 3m variables can be generalized to 4K in the derivation of the formula:
,/>
G p+j-1 and B p+j-1 are respectively equivalent conductance and susceptance of the (p+j) -1 th user, and are obtained through calculation of a regional power grid impedance matrix, wherein the regional power grid impedance matrix is obtained from a power grid dispatching center;
And/> The equivalent resistance and the equivalent reactance between the (p+j-1) th user and the kth power supply are obtained through calculation of a region power grid impedance matrix Kron reduced order elimination passive node;
the carbon emission intensity of the kth power supply is calculated for the equation set theta p;
And/> D and q axis components of the kth power supply output current calculated by the equation set Θ p respectively;
S104, solving a p-th group intermediate quantity X p through each equation set Θ p:
each group of intermediate quantity X p has 、/>And/>A total of 3m variables (k=1, 2, … m), and 3m equations, the unique solution can be found by numerical or least squares methods;
S105, judging whether the intermediate quantities X p are out of tolerance, if so, correcting a carbon emission metering value set Z s corresponding to the out of tolerance intermediate quantity X s to be Z s'; wherein X s is the s-th out-of-tolerance intermediate quantity.
By out-of-tolerance is meant an abnormal emission measurement, and whether or not the emission measurement is abnormal depends on the requirement of the error, such as for a carbon table with an error of 1%, calculating a result 1% (or setting a certain margin, such as 1.1%) from the average value of the normal values of the emission measurement even if the emission measurement is abnormal.
Taking m=3 as an example, if m=3, each set of carbon emission measurement values includes 9 carbon emission measurement values, then a total of n-3m+1=n-8 sets of carbon emission measurement values may be constructed, and the last set of sets of carbon emission measurement values may be denoted as Z n-8; and each system of equations consists of 9 equations.
In the step S102, the 1 st to 9 th carbon emission measurement values are selected as the 1 st group carbon emission measurement value set Z 1, the 2 nd to 10 th carbon emission measurement values are selected as the 2 nd group carbon emission measurement value set Z 2, the 3 rd to 11 th carbon emission measurement values are selected as the 3 rd group carbon emission measurement value set Z 3, and the n-8~n th carbon emission measurement values are selected as the n-8 th group carbon emission measurement value set Z n-8, then:;/>;/>
in the step S103, the 1 st equation set Θ 1 is configured as:
Equation set Θ 2 of FIG. 2 is constructed as:
equation set Θ 3 is constructed as:
The n-3m+1 th equation set Θ n-3m+1 is constructed as:
wherein, ,/>,/>
,/>
In the step S104, the intermediate amounts X 1、X2、X3、……、Xn-3m+1 are respectively:
further, the step S105 specifically includes:
training the sample set { X p } by using a support vector machine, wherein p=1, 2, …, n-3m+1;
After training, the classification function f (X s) <0, s epsilon omega, wherein omega is an out-of-tolerance variable set, and the number of elements is r;
Judging whether an out-of-tolerance variable X s exists or not, if so, judging that the corresponding Z s exceeds the out-of-tolerance Z s', and determining that Corrected to/>Wherein:
,/>,/>
;/>;/>
In the method, in the process of the invention, The carbon emission intensity of the kth power supply is calculated for the equation set theta j; /(I)、/>D and q axis components of the kth power supply output current calculated by the equation set Θ j respectively; /(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.
Based on the same inventive concept, the application also provides a system corresponding to the method in the first embodiment, and the details of the second embodiment are described in detail.
Example two
As shown in fig. 3, in this embodiment, a system for checking the measurement data of the carbon table of the user is provided, which includes:
The acquisition module is used for acquiring carbon emission measurement values C i, i=1, 2, … and n of all user carbon tables of the current regional power grid in n current update periods;
A set construction module for constructing a set Z p of n-3m+1 groups of carbon emission measurement values, P=1, 2, …, n-3m+1, m is the number of power supplies generating carbon emission in the current regional power grid, m < < n, namely, the 1 st to 3m carbon emission measurement values are selected as a 1 st group carbon emission measurement value set Z 1, and the 2 nd to 3m+1, 3 rd to 3m+2, …, n-3m+1-n carbon emission measurement values are sequentially selected as a 2 nd, 3 rd, … … th and n-3m+1 th group carbon emission measurement value set Z 2、Z3、……、Zn-3m+1;
The equation set construction module is used for correspondingly forming an equation set theta p, p=1, 2, … and n-3m+1 for each set of carbon emission measurement value sets Z p;
Wherein:
C p+j-1 is the carbon emission measurement value of the p+j-1 th user;
t is the carbon emission factor update period;
K itself is not meant, but simply the sign of the reduced expression, and the superscript p, j represents a variable in the j-th equation in the set of equations Θp; the 3m variables are generalized to 4K as follows:
,/>
G p+j-1 and B p+j-1 are respectively equivalent conductance and susceptance of the (p+j) -1 th user, and are obtained through calculation of a regional power grid impedance matrix, wherein the regional power grid impedance matrix is obtained from a power grid dispatching center;
And/> The equivalent resistance and the equivalent reactance between the (p+j-1) th user and the kth power supply are obtained through calculation of a region power grid impedance matrix Kron reduced order elimination passive node;
the carbon emission intensity of the kth power supply is calculated for the equation set theta p;
And/> D and q axis components of the kth power supply output current calculated by the equation set Θ p respectively;
a solving module for solving the p-th group intermediate quantity X p by each equation set Θ p:
each group of intermediate quantity X p has 、/>And/>A total of 3m variables (k=1, 2, … m), and 3m equations, the unique solution can be found by numerical or least squares methods;
The correction module is used for judging whether the intermediate quantity X p is out of tolerance, if so, correcting a carbon emission metering value set Z s corresponding to the out of tolerance intermediate quantity X s to be Z s'; wherein X s is the s-th out-of-tolerance intermediate quantity.
Further, the correction module specifically performs the following process:
training the sample set { X p } by using a support vector machine, wherein p=1, 2, …, n-3m+1;
After training, the classification function f (X s) <0, s epsilon omega, wherein omega is an out-of-tolerance variable set, and the number of elements is r;
Judging whether an out-of-tolerance variable X s exists or not, if so, judging that the corresponding Z s exceeds the out-of-tolerance Z s', and determining that Corrected to/>Wherein:
,/>,/>
;/>;/>
In the method, in the process of the invention, The carbon emission intensity of the kth power supply is calculated for the equation set theta j; /(I)、/>D and q axis components of the kth power supply output current calculated by the equation set Θ j respectively; /(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.
Since the system described in the second embodiment of the present invention is a device for implementing the method described in the first embodiment of the present invention, based on the method described in the first embodiment of the present invention, a person skilled in the art can understand the specific structure and the modification of the device, and therefore, the description thereof is omitted herein. All devices used in the method according to the first embodiment of the present invention are within the scope of the present invention.
The technical scheme provided by the embodiment of the application has at least the following technical effects or advantages: and acquiring the middle value of the carbon emission amount calculation of each user, checking whether the middle value is out of tolerance, and calculating new carbon emission amount to correct the original result if the middle value is out of tolerance, so that the out-of-tolerance result in the carbon emission amount of the user carbon table caused by network, communication, delay factors and the like can be identified and corrected, and the blank of the lack of a checking method for the carbon emission amount of the current user carbon table is made up.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that the specific embodiments described are illustrative only and not intended to limit the scope of the invention, and that equivalent modifications and variations of the invention in light of the spirit of the invention will be covered by the claims of the present invention.

Claims (2)

1. A checking method of user carbon meter measurement data is characterized in that: comprising the following steps:
S101, acquiring carbon emission measurement values C i, i=1, 2, … and n of all user carbon tables of a current regional power grid in n current update periods;
S102, constructing a set Z of n-3m+1 groups of carbon emission measurement values 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 a1 st group carbon emission measurement value set Z 1, and the 2 nd to 3m+1, 3 rd to 3m+2, …, n-3m+1-n carbon emission measurement values are sequentially selected as a 2 nd, 3 rd, … … th, n-3m+1 th group carbon emission measurement value set Z 2、Z3、……、Zn-3m+1;
S103, correspondingly forming an equation set theta p, p=1, 2, … and n-3m+1 for each group of carbon emission measurement value sets Z p;
Wherein:
C p+j-1 is the carbon emission measurement value of the p+j-1 th 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-1 and B p+j-1 are respectively equivalent conductance and susceptance of the (p+j) -1 th user, and are obtained through calculation of a regional power grid impedance matrix, wherein the regional power grid impedance matrix is obtained from a power grid dispatching center;
And/> The equivalent resistance and the equivalent reactance between the (p+j-1) th user and the kth power supply are obtained through calculation of a region power grid impedance matrix Kron reduced order elimination passive node;
the carbon emission intensity of the kth power supply is calculated for the equation set theta p;
And/> D and q axis components of the kth power supply output current calculated by the equation set Θ p respectively;
S104, solving a p-th group intermediate quantity X p through each equation set Θ p:
each group of intermediate quantity X p has 、/>And/>A total of 3m variables (k=1, 2, … m), and 3m equations, and a unique solution for each equation set Θ p is found;
S105, judging whether the intermediate quantities X p are out of tolerance, if yes, collecting carbon emission metering values corresponding to the out of tolerance intermediate quantity X s Modified as/>
Wherein X s is the s-th out-of-tolerance intermediate quantity;
the step S105 specifically includes:
training the sample set { X p } by using a support vector machine, wherein p=1, 2, …, n-3m+1;
After training, the classification function f (X s) <0, s epsilon omega, wherein omega is an out-of-tolerance variable set, and the number of elements is r;
Judging whether the out-of-tolerance variable intermediate quantity X s exists or not, if so, judging that the corresponding Z s is out-of-tolerance Z s', and determining that Corrected to/>Wherein:
,/>,/>
;/>;/>
In the method, in the process of the invention, The carbon emission intensity of the kth power supply is calculated for the equation set theta j; /(I)、/>D and q axis components of the kth power supply output current calculated by the equation set Θ j respectively; /(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.
2.A checking system of user carbon meter measurement data is characterized in that: comprising the following steps:
The acquisition module is used for acquiring carbon emission measurement values C i, i=1, 2, … and n of all user carbon tables of the current regional power grid in n current update periods;
A set construction module for constructing a set Z p of n-3m+1 groups of carbon emission measurement values, P=1, 2, …, n-3m+1, m is the number of power supplies generating carbon emission in the current regional power grid, m < < n, namely, the 1 st to 3m carbon emission measurement values are selected as a 1 st group carbon emission measurement value set Z 1, and the 2 nd to 3m+1, 3 rd to 3m+2, …, n-3m+1-n carbon emission measurement values are sequentially selected as a 2 nd, 3 rd, … … th and n-3m+1 th group carbon emission measurement value set Z 2、Z3、……、Zn-3m+1;
The equation set construction module is used for correspondingly forming an equation set theta p, p=1, 2, … and n-3m+1 for each set of carbon emission measurement value sets Z p;
Wherein:
C p+j-1 is the carbon emission measurement value of the p+j-1 th user;
t is the carbon emission factor update period;
K itself is not meant, but simply the sign of the reduced expression, and the superscript p, j represents a variable in the j-th equation in the set of equations Θp; the 3m variables are generalized to 4K as follows:
,/>,/>
G p+j-1 and B p+j-1 are respectively equivalent conductance and susceptance of the (p+j) -1 th user, and are obtained through calculation of a regional power grid impedance matrix, wherein the regional power grid impedance matrix is obtained from a power grid dispatching center;
And/> The equivalent resistance and the equivalent reactance between the (p+j-1) th user and the kth power supply are obtained through calculation of a region power grid impedance matrix Kron reduced order elimination passive node;
the carbon emission intensity of the kth power supply is calculated for the equation set theta p;
And/> D and q axis components of the kth power supply output current calculated by the equation set Θ p respectively;
a solving module for solving the p-th group intermediate quantity X p by each equation set Θ p:
each group of intermediate quantity X p has 、/>And/>A total of 3m variables (k=1, 2, … m), and 3m equations, and a unique solution for each equation set Θ p is found;
The correction module is used for judging whether the intermediate quantities X p are out of tolerance, if so, correcting a carbon emission metering value set Z s corresponding to the out of tolerance intermediate quantity X s to be Z s', wherein X s is the s-th out of tolerance intermediate quantity;
The correction module specifically executes the following processes:
training the sample set { X p } by using a support vector machine, wherein p=1, 2, …, n-3m+1;
After training, the classification function f (X s) <0, s epsilon omega, wherein omega is an out-of-tolerance variable set, and the number of elements is r;
Judging whether the out-of-tolerance intermediate quantity X s exists or not, if so, judging that the corresponding Z s is out-of-tolerance Z s', and Corrected to/>Wherein:
,/>,/>
;/>
In the method, in the process of the invention, The carbon emission intensity of the kth power supply is calculated for the equation set theta j; /(I)、/>D and q axis components of the kth power supply output current calculated by the equation set Θ j respectively; /(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.
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