CN113609713A - User side electric carbon information quantitative calculation method, system and computer storage medium - Google Patents

User side electric carbon information quantitative calculation method, system and computer storage medium Download PDF

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CN113609713A
CN113609713A CN202111168473.9A CN202111168473A CN113609713A CN 113609713 A CN113609713 A CN 113609713A CN 202111168473 A CN202111168473 A CN 202111168473A CN 113609713 A CN113609713 A CN 113609713A
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章锐
汤奕
邰伟
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Nanjing Dongbo Intelligent Energy Research Institute Co ltd
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Abstract

The invention relates to a user side carbon electricity information quantitative calculation method, a system and a computer storage medium, wherein corresponding communication modes are dynamically matched according to different requirements of different services on communication at different time periods; constructing a user-side comprehensive cleaning electric ratio calculation model; constructing a calculation model of a user-side comprehensive carbon emission coefficient; constructing a user side carbon emission calculation model; and calculating the active adjustment amount and the reactive adjustment amount of the self-running according to the issued carbon emission target, thereby effectively controlling the carbon emission amount of the user side. According to the invention, the active and reactive carbon emission quantification calculation is carried out on the load flow information of the user side, and the carbon emission and the coefficient of each region and user can be clearly determined through model calculation; the carbon emission of the user side without the user can be mastered, the carbon emission situation of the user side is mastered, the low-carbon regulation and control of the power grid under the carbon constraint are realized, and the carbon emission of the power grid is reduced.

Description

User side electric carbon information quantitative calculation method, system and computer storage medium
Technical Field
The invention relates to the technical field of electric power and electric power system calculation control, in particular to a user side electric carbon information quantitative calculation method, a user side electric carbon information quantitative calculation system and a computer storage medium.
Background
With the continuous concern of all countries around the world on the climate problem and the environmental pollution problem, the total carbon emission is reduced, and the control and the management of the environmental pollution become the key concern of all countries. The concept of carbon peak reaching and carbon neutralization gradually deepens into life and production, and the term "carbon peak reaching" means that the emission of carbon dioxide reaches a peak value at a certain time point, does not increase any more and then gradually falls back. The carbon neutralization means that enterprises, groups or individuals measure and calculate the total amount of greenhouse gas emission generated directly or indirectly within a certain time, and the carbon dioxide emission amount generated by the enterprises, the groups or the individuals is offset through the forms of afforestation, energy conservation, emission reduction and the like, so that the zero emission of the carbon dioxide is realized. The action scheme of carbon peak reaching and carbon neutralization aims at promoting the carbon emission reduction of a power grid, and in the activity of carbon emission reduction of the power grid, the carbon emission amount of the power grid at the power supply side is required to be quantitatively calculated, and the carbon emission situation at the power supply side of the power grid is mastered; it is also necessary to quantitatively calculate the load-side carbon emission amount and grasp the load-side carbon emission situation.
At present, in the process of calculating the carbon emission of the power grid, due to the influence of reactive power, two users consuming the same amount of active power do not necessarily have the same carbon emission, and the reactive carbon consumed by the two users does not necessarily have the same amount, so that the carbon emission amounts of the two users are not necessarily the same. Due to the lack of quantitative calculation and control technology of carbon emission of power grid users or garden users, quantitative calculation of carbon emission of users is difficult to carry out at present, carbon emission at user sides is not clear, carbon emission at each user side is difficult to effectively control, and implementation and realization of carbon peak reaching and carbon neutralization are not facilitated.
Disclosure of Invention
The invention aims to provide a method, a system and a computer storage medium for quantitatively calculating user-side electric carbon information, which can quantitatively calculate user carbon emission so as to control carbon emission.
In order to achieve the purpose, the invention provides the following technical scheme:
the user side electric carbon information quantitative calculation method comprises the following steps:
s1, monitoring the communication requirement of the service in real time, and matching the corresponding communication mode according to the communication bandwidth and the communication time delay of the service;
s2, collecting tide information input by a power grid side, a clean electricity occupancy of the power grid side, a carbon emission coefficient of the power grid side, tide information injected into a garden, a clean electricity occupancy of the garden, a clean electricity carbon emission coefficient of the garden and power load information of users of the garden;
s3, the user-side comprehensive clean power ratio comprises the idle clean power ratio of the power grid injection park
Figure 925568DEST_PATH_IMAGE001
Is in proportion to active cleaning electricity
Figure 146465DEST_PATH_IMAGE002
Building a user-side comprehensive clean electric ratio calculation model, and respectively calculating the comprehensive active clean electric ratio on line
Figure 218195DEST_PATH_IMAGE003
And comprehensive reactive clean power
Figure 422911DEST_PATH_IMAGE004
S4, the user-side comprehensive carbon emission coefficient comprises an active carbon emission coefficient in a power grid injection park
Figure 44648DEST_PATH_IMAGE005
And coefficient of reactive carbon emission
Figure 182368DEST_PATH_IMAGE006
Building a calculation model of the user-side comprehensive carbon emission coefficient, and respectively calculating the comprehensive active carbon emission coefficient on line
Figure 378994DEST_PATH_IMAGE007
And integrated reactive carbon emission coefficient
Figure 54695DEST_PATH_IMAGE008
S5, constructing a user side carbon emission calculation model, and calculating the active carbon emission of the user side on line
Figure 526128DEST_PATH_IMAGE009
And the idle carbon emission of the user side
Figure 734999DEST_PATH_IMAGE010
S6, calculating the active adjustment amount of the self-running according to the carbon emission target issued by the power grid
Figure 836947DEST_PATH_IMAGE011
And self-running reactive power adjustment
Figure 547414DEST_PATH_IMAGE012
And is used for controlling the carbon emission.
In step S1, the types of the service include: the method comprises the following steps of user photovoltaic detection, distributed energy storage monitoring, intelligent home service, power consumption information acquisition, energy station comprehensive monitoring, video monitoring, intelligent buildings, electric vehicle charging piles or intelligent voice;
the communication mode comprises 4G communication, 5G communication, WiFi communication, Bluetooth communication, ZigBee communication, PLC communication, NB-IOT communication or LoRa communication.
In step S2, the power flow information input by the grid side includes active power
Figure 275067DEST_PATH_IMAGE013
Reactive power
Figure 590642DEST_PATH_IMAGE014
The power grid side clean electricity proportion information comprises active clean electricity proportion
Figure 410962DEST_PATH_IMAGE015
Reactive clean power ratio
Figure 811987DEST_PATH_IMAGE016
The grid side carbon emission coefficient comprises an active carbon emission coefficient
Figure 77752DEST_PATH_IMAGE005
Reactive carbon emission coefficient
Figure 310151DEST_PATH_IMAGE006
The power flow information injected into the park comprises active power
Figure 753901DEST_PATH_IMAGE017
Reactive power
Figure 390026DEST_PATH_IMAGE018
The clean electricity proportion information in the park comprises active clean electricity proportion information
Figure 6952DEST_PATH_IMAGE019
Idle clean power percentage information
Figure 280807DEST_PATH_IMAGE020
The coefficient of carbon emission of the clean electricity in the park comprises the coefficient of carbon emission of active power
Figure 161039DEST_PATH_IMAGE021
Reactive carbon emission coefficient
Figure 333394DEST_PATH_IMAGE022
The electric load information of the users in the park comprises active power
Figure 176847DEST_PATH_IMAGE023
Reactive power
Figure 587100DEST_PATH_IMAGE024
In step S3, the reactive clean power ratio
Figure 418659DEST_PATH_IMAGE025
Comprises a reactive power compensation device in a park;
the active power cleaning power ratio
Figure 15993DEST_PATH_IMAGE026
The system comprises distributed photovoltaic power, distributed wind power and an energy storage power supply;
model construction is carried out to obtain comprehensive active clean electricity ratio
Figure 974722DEST_PATH_IMAGE027
And comprehensive reactive clean power
Figure 987284DEST_PATH_IMAGE028
The constructed model is shown in formulas (1) and (2):
Figure 943739DEST_PATH_IMAGE029
(1)
Figure 543216DEST_PATH_IMAGE030
(2)。
in step S4, the reactive carbon emission coefficient
Figure 40056DEST_PATH_IMAGE006
Comprises a reactive power compensation device in a park;
the active carbon emission coefficient
Figure 644475DEST_PATH_IMAGE005
The system comprises distributed photovoltaic power, distributed wind power and an energy storage power supply;
model construction is carried out to obtain the comprehensive active carbon emission coefficient of the user
Figure 834148DEST_PATH_IMAGE007
And integrated reactive carbon emission coefficient
Figure 671654DEST_PATH_IMAGE008
The constructed model is shown in formulas (3) and (4):
Figure 159136DEST_PATH_IMAGE031
(3)
Figure 929646DEST_PATH_IMAGE032
(4)。
in step S5, the ratio of the total active power to the clean power is determined according to the user
Figure 241285DEST_PATH_IMAGE033
Comprehensive idle clean power proportion in users
Figure 300508DEST_PATH_IMAGE034
And the integrated active carbon emission coefficient in the user
Figure 139151DEST_PATH_IMAGE035
Comprehensive reactive carbon emission coefficient in user
Figure 216698DEST_PATH_IMAGE036
And constructing the user side carbon emission calculation model to obtain the user side active carbon emission
Figure 951435DEST_PATH_IMAGE009
And the idle carbon emission of the user side
Figure 248687DEST_PATH_IMAGE037
The constructed model is shown in formulas (5) and (6):
Figure 156600DEST_PATH_IMAGE038
(5)
Figure 354232DEST_PATH_IMAGE039
(6)
calculating the total carbon emission of the user according to the formula (5) and the formula (6)
Figure 994292DEST_PATH_IMAGE040
The model constructed is shown in formula (7):
Figure 824845DEST_PATH_IMAGE041
(7)。
the specific method of step S6 is as follows:
according to the active carbon emission and reactive carbon emission targets issued by the power grid
Figure 956355DEST_PATH_IMAGE042
And reactive carbon emission target of reactive carbon emission
Figure 759226DEST_PATH_IMAGE043
(ii) a Calculating the active adjustment quantity of the self-operation according to the formula (8) and the formula (9)
Figure 881772DEST_PATH_IMAGE044
And operation reactive power adjustment
Figure 402883DEST_PATH_IMAGE045
For controlling the carbon emission;
Figure 75435DEST_PATH_IMAGE046
(8)
Figure 795129DEST_PATH_IMAGE047
(9)。
a user-side electric carbon information quantification calculation system is characterized by comprising: a network interface, a memory, and a processor; wherein the content of the first and second substances,
the network interface is used for receiving and sending signals in the process of receiving and sending information with other external network elements;
the memory for storing a computer program operable on the processor;
the processor, when executing the computer program, executing any of claims 1 to 7
And the step of the user side electric carbon information quantitative calculation method.
A computer storage medium, wherein the computer storage medium stores a user-side electrical carbon information quantization calculation program, and the user-side electrical carbon information quantization calculation program, when executed by at least one processor, implements the steps of the user-side electrical carbon information quantization calculation method.
Compared with the prior art, the invention has the beneficial effects that:
1) according to the invention, the active and reactive carbon emission quantification calculation is carried out on the load flow information of the user side, the carbon emission and the coefficient of each region and user can be clearly determined through model calculation, the carbon emission of the user side without the user can be mastered, and the carbon emission situation of the user side can be mastered;
2) meanwhile, a carbon emission target of each user is formulated at the cloud end through a user carbon emission control technology of the cloud-edge cooperative system and issued to each user based on a multi-communication technology, and each user calculates a useful and reactive adjustment amount based on a carbon emission model, so that the carbon emission of each user is effectively controlled, and the carbon emission control requirement is met. The method has important significance for regulating and controlling the low carbon of the power grid under the carbon constraint, reducing the carbon emission of the power grid and assisting the power grid to realize the targets of carbon peak reaching and carbon neutralization early;
3) the invention can stably and quickly calculate the carbon emission data of the active carbon and the reactive carbon, correspondingly control the carbon emission data, and ensure that the calculation process of the active carbon and the reactive carbon is simple, the calculated data amount is comprehensive, the meaning of the intermediate result in the calculation process is clear, the practicability of the calculation method is strong, and the method is suitable for use and popularization of active carbon and reactive carbon emission calculation.
Drawings
FIG. 1 is a block diagram of a workflow of a method for quantitatively calculating user-side electrical carbon information according to the present invention;
FIG. 2 is a block diagram of adaptation analysis of user-side services and various communication schemes;
fig. 3 is a block diagram of the operation of the carbon emission control step according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the method for quantitatively calculating the electrical carbon information at the user side includes the following steps:
s1, monitoring the communication requirement of the service in real time, and matching the corresponding communication mode according to the communication bandwidth and the communication time delay of the service;
referring to fig. 2, further, in the step S1, the communication requirement of the service is monitored in real time, and the corresponding communication mode is matched according to the communication bandwidth and the communication delay of the service; the specific service types include: the method comprises the following steps of user photovoltaic detection, distributed energy storage monitoring, intelligent home service, power consumption information acquisition, energy station comprehensive monitoring, video monitoring, intelligent buildings, electric vehicle charging piles or intelligent voice; the communication mode comprises 4G communication, 5G communication, WiFi communication, Bluetooth communication, ZigBee communication, PLC communication, NB-IOT communication or LoRa communication.
Based on the above, different services of the user side can monitor the communication requirements of the services in real time at different time periods, and can dynamically match corresponding communication technologies according to different requirements of communication, the communication technologies include wide ranges, can be suitable for the vast number of service requirements on the market, and adopt a user side multi-communication mode transmission technology matching different service characteristics, thereby improving the communication transmission efficiency of different services. It should be noted that: the adaptable and preferentially adaptable mode of the dynamic service matching mode can be combined with the representation of the adaptable and preferentially adaptable mode in fig. 2, and the adaptable and preferentially adaptable connection mode meets different services and communication requirements.
S2, collecting tide information input by a power grid side, a clean electricity occupancy of the power grid side, a carbon emission coefficient of the power grid side, tide information injected into a garden, a clean electricity occupancy of the garden, a clean electricity carbon emission coefficient of the garden and power load information of users of the garden;
specifically, the tidal current information input by the power grid side mainly comprises active power
Figure 42571DEST_PATH_IMAGE013
Reactive power
Figure 34667DEST_PATH_IMAGE014
The power grid side clean electricity ratio mainly comprises an active clean electricity ratio
Figure 822494DEST_PATH_IMAGE015
Reactive clean power ratio
Figure 82181DEST_PATH_IMAGE016
The carbon emission coefficient of the power grid side mainly comprises an active carbon emission coefficient
Figure 500524DEST_PATH_IMAGE005
Reactive carbon emission coefficient
Figure 527386DEST_PATH_IMAGE006
(ii) a Correspondingly, the tidal current information injected into the park mainly comprises active power
Figure 305855DEST_PATH_IMAGE017
Reactive power
Figure 937824DEST_PATH_IMAGE018
(ii) a The clean electricity in the garden mainly comprises the active clean electricity
Figure 74539DEST_PATH_IMAGE019
Reactive clean power ratio
Figure 57538DEST_PATH_IMAGE020
(ii) a The coefficient of carbon emission of clean electricity in the garden mainly comprises the coefficient of active carbon emission
Figure 374119DEST_PATH_IMAGE021
Reactive carbon emission coefficient
Figure 860595DEST_PATH_IMAGE022
(ii) a Based on step S2, the method further includes power load information of the campus user i, where the power load information of the user i mainly includes active power
Figure 683058DEST_PATH_IMAGE023
Reactive power
Figure 635577DEST_PATH_IMAGE024
Based on the above, step S2 may acquire power flow information input from the grid side, a clean power ratio of the grid side, and a carbon emission coefficient of the grid side; injecting tide information into the garden, the percentage of clean electricity in the garden and the carbon emission coefficient of the clean electricity in the garden; the electricity load information of users in the garden; and the electrical load information of the users in the garden; the data for collecting the associated carbon emission is abundant. The method comprises the following steps of constructing the following models based on collected information, constructing a user-side comprehensive clean electricity ratio calculation model at S3, constructing a user-side comprehensive carbon emission coefficient calculation model at S4 and constructing a user-side user carbon emission calculation model at S5, and realizing quantitative calculation of active and reactive carbon emission of a user at a user side, wherein the following steps are specifically carried out:
and S3, constructing a user side comprehensive clean electricity proportion calculation model, and respectively calculating the comprehensive active clean electricity proportion and the comprehensive reactive clean electricity proportion on line. In step S3, the user-side comprehensive clean electricity proportion calculation model is constructed, including the proportion of the reactive clean electricity in the grid injection park
Figure 241002DEST_PATH_IMAGE025
Is in proportion to active cleaning electricity
Figure 893569DEST_PATH_IMAGE026
(ii) a The proportion of the reactive clean electricity
Figure 824616DEST_PATH_IMAGE025
Including none in the campusA work compensation device; the active power cleaning power ratio
Figure 1781DEST_PATH_IMAGE026
The method comprises the steps of carrying out model construction on distributed photovoltaic, distributed wind power and energy storage power to obtain the comprehensive active clean power ratio in users
Figure 738793DEST_PATH_IMAGE027
And comprehensive reactive clean power in user
Figure 934282DEST_PATH_IMAGE028
The constructed model is shown in formulas (1) and (2):
Figure 285498DEST_PATH_IMAGE029
(1) and
Figure 261544DEST_PATH_IMAGE030
(2). Based on the above, the comprehensive active and reactive clean power occupation ratio can be calculated.
And S4, constructing a user-side comprehensive carbon emission coefficient calculation model, and respectively calculating a comprehensive active carbon emission coefficient and a comprehensive reactive carbon emission coefficient on line. In step S4, the user-side integrated carbon emission coefficient is constructed by including an active carbon emission coefficient per unit in the grid injection park
Figure 245591DEST_PATH_IMAGE005
And coefficient of reactive carbon emission
Figure 561166DEST_PATH_IMAGE006
(ii) a The reactive carbon emission coefficient
Figure 896332DEST_PATH_IMAGE006
Comprises a reactive power compensation device in a park; the active carbon emission coefficient
Figure 281046DEST_PATH_IMAGE005
The method comprises the steps of carrying out model construction on distributed photovoltaic, distributed wind power and energy storage power supplies to obtain the comprehensive active carbon emission of a userCoefficient of expansion
Figure 563123DEST_PATH_IMAGE007
And integrated reactive carbon emission coefficient
Figure 546254DEST_PATH_IMAGE008
The constructed model is shown in formulas (3) and (4):
Figure 724425DEST_PATH_IMAGE031
(3) and
Figure 127594DEST_PATH_IMAGE032
(4). Based on the above, the comprehensive carbon emission coefficient and the comprehensive reactive carbon emission coefficient can be calculated.
And S5, constructing a user carbon emission calculation model on the user side, and calculating the active carbon emission and the reactive carbon emission on the user side on line. In step S5, the user side carbon emission calculation model is constructed according to the ratio of the comprehensive active clean electricity in the user
Figure 744520DEST_PATH_IMAGE033
Comprehensive idle clean power proportion in users
Figure 769108DEST_PATH_IMAGE034
And the integrated active carbon emission coefficient in the user
Figure 131562DEST_PATH_IMAGE035
Comprehensive reactive carbon emission coefficient in user
Figure 303918DEST_PATH_IMAGE036
And carrying out model construction to obtain the active carbon emission of the user side
Figure 177065DEST_PATH_IMAGE009
And the idle carbon emission of the user side
Figure 56159DEST_PATH_IMAGE037
The constructed model is shown in formulas (5) and (6):
Figure 858024DEST_PATH_IMAGE038
(5) and
Figure 517675DEST_PATH_IMAGE039
(6). Calculating the total carbon emission of the user according to the formula (5) and the formula (6)
Figure 414087DEST_PATH_IMAGE040
The constructed model is shown in formula (7):
Figure 724852DEST_PATH_IMAGE041
(7). Based on the above, the comprehensive active and reactive carbon emission of the user and the total carbon emission of the user can be calculated.
S6, calculating the active power adjustment amount of the self-running according to the carbon emission target issued by the power grid
Figure 681306DEST_PATH_IMAGE044
And self-running reactive power adjustment
Figure 513740DEST_PATH_IMAGE045
And is used for controlling the carbon emission.
Preferably, the reactive carbon emission target of the active carbon emission issued by the power grid
Figure 276160DEST_PATH_IMAGE042
And reactive carbon emission target of reactive carbon emission
Figure 129846DEST_PATH_IMAGE043
(ii) a Calculating the active adjustment quantity of the self-operation according to the formula (8) and the formula (9)
Figure 772049DEST_PATH_IMAGE044
And operation reactive power adjustment
Figure 406292DEST_PATH_IMAGE045
For controlling the carbon emission;
Figure 395239DEST_PATH_IMAGE046
(8) and
Figure 165749DEST_PATH_IMAGE047
(9)。
referring to fig. 3, the method for targeting carbon emission delivered by the power grid specifically includes the following steps:
step one, the cloud control server sets a total active carbon emission target and a total reactive carbon emission target within preset time and a reactive carbon emission target according to a carbon emission requirement issued by a power grid
Figure 729586DEST_PATH_IMAGE042
And reactive carbon emission target of reactive carbon emission
Figure 38076DEST_PATH_IMAGE043
Step two, issuing active and reactive carbon emission targets to users of all subsystems at a user side;
step three, the receiving end of the target user calculates and adjusts the self-running active adjustment amount and the running reactive adjustment amount according to the issued carbon emission target and the model; and calculating the active adjustment amount of the self-operation according to the formula (8) and the formula (9)
Figure 79982DEST_PATH_IMAGE044
And operation reactive power adjustment
Figure 718380DEST_PATH_IMAGE045
For controlling the carbon emission;
and fourthly, responding to the cloud carbon emission control requirement by the target user side. Thereby realizing effective control of carbon emission of users.
According to the carbon information quantitative calculation method, active and reactive carbon emission quantitative calculation can be performed on the load flow information of the user side, and carbon emission and coefficients of each region and user can be clearly defined through model calculation; the invention can stably and quickly calculate the carbon emission data of the active carbon and the reactive carbon, correspondingly control the carbon emission data, and ensure that the calculation process of the active carbon and the reactive carbon is simple, the calculated data amount is comprehensive, the meaning of the intermediate result in the calculation process is clear, the practicability of the calculation method is strong, and the method is suitable for use and popularization of active carbon and reactive carbon emission calculation.
According to an embodiment of the disclosure, a system for quantifying electrical carbon information at a user side is further provided, where the system for quantifying electrical carbon information at the user side includes: a network interface, a memory, and a processor; wherein the content of the first and second substances,
the network interface is used for receiving and sending signals in the process of receiving and sending information with other external network elements;
a memory arranged as a data storable carrier for storing a computer program capable of running on the processor;
a processor for executing the calculation steps of the user-side electric carbon information quantification calculation method and constructing a user-side comprehensive clean electric ratio calculation model when the computer program is run, and calculating the comprehensive active clean electric ratio on line respectively
Figure 187539DEST_PATH_IMAGE027
And comprehensive reactive clean power
Figure 530795DEST_PATH_IMAGE028
(ii) a Constructing a calculation model of the comprehensive carbon emission coefficient at the user side, and respectively calculating the comprehensive active carbon emission coefficient on line
Figure 625659DEST_PATH_IMAGE007
And integrated reactive carbon emission coefficient
Figure 308444DEST_PATH_IMAGE008
(ii) a Constructing a user side carbon emission calculation model, and calculating the active carbon emission of the user side on line
Figure 761553DEST_PATH_IMAGE009
And the idle carbon emission of the user side
Figure 529789DEST_PATH_IMAGE037
(ii) a Calculating the active adjustment amount of the self-running according to the carbon emission target issued by the power grid
Figure 428344DEST_PATH_IMAGE044
And self-running reactive power adjustment
Figure 293532DEST_PATH_IMAGE045
And is used for controlling the carbon emission.
It should be understood that the user side electric carbon information quantification and calculation system can be used for communicating with all subsystems of the user side through the cloud side cooperation main system, such as user photovoltaic detection, distributed energy storage monitoring, intelligent home service, electricity utilization information acquisition, energy station comprehensive monitoring, video monitoring, intelligent buildings, electric vehicle charging piles or intelligent voice; corresponding parameters are obtained to facilitate the implementation of control over carbon emission.
Based on the above, in this embodiment, since the carbon emission amount of each user is different, a user-side electrical carbon information quantification calculation system needs to be installed at the carbon emission end of each user; based on the step method of the user side electric carbon information quantitative calculation method, the computer controls a user side electric carbon information quantitative calculation system to calculate the data of carbon emission and carbon emission of each user side, and the quantitative control of the carbon emission is carried out. And further, the quantitative calculation of active carbon emission and reactive carbon emission of the user side is realized, the carbon emission of each user side is favorably and effectively controlled, and the carbon emission of the user side reaches the standard.
The embodiment of the application also provides a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and the computer program is used for a processor to execute the user side electric carbon information quantitative calculation and carbon emission control method and is applied to the user side carbon emission collection calculation control system.
For example, the computer program may be divided into one or more modules/units, the one or more modules/units are stored in a memory of the user-side electrical carbon information quantification calculation system and executed by a processor to complete the user-side electrical carbon information quantification calculation of the present application, and the one or more modules/units may be a series of computer program segments capable of performing specific functions, and the program segments are used for describing the execution process of the computer program in the user-side carbon emission amount calculation acquisition system.
It should be noted that the integrated unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, when the present application implements all or part of the processes in the methods of the embodiments, a computer program that can be executed by a computer program to instruct related hardware can be stored in a computer readable storage medium, and when the computer program is executed by a processor, the steps of the embodiments of the methods can be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, Read-Only Memory (ROM), random-access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc.
In summary, the method and system for quantitatively calculating the carbon emission information of the user side and the computer program stored in the computer readable storage medium can stably and rapidly calculate the carbon emission data of the user side and the idle carbon emission data, and correspondingly control the carbon emission data.
The flow information of the user side can be further calculated in an active and reactive carbon emission quantification mode, the carbon emission and the coefficient of each area and user can be clearly defined through model calculation, the carbon emission of the user side without the user can be mastered, and the carbon emission situation of the user side can be mastered; and formulating a carbon emission target of each user at the cloud end through a user carbon emission control technology of the cloud-edge cooperative system, issuing the target to each user based on a multi-communication technology, calculating useful and reactive adjustment quantities by each user based on a carbon emission model, realizing effective control of the carbon emission quantity of each user, and meeting the carbon emission control requirement. The method has important significance for regulating and controlling the low carbon of the power grid under the carbon constraint, reducing the carbon emission of the power grid and assisting the power grid to achieve the targets of carbon peak reaching and carbon neutralization early.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting the protection scope thereof, and although the present invention has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that after reading the present invention, they can make various changes, modifications or equivalents to the specific embodiments of the present invention, but these changes, modifications or equivalents are within the protection scope of the appended claims.

Claims (9)

1. The user side electric carbon information quantitative calculation method is characterized by comprising the following steps: the method comprises the following steps:
s1, monitoring the communication requirement of the service in real time, and matching the corresponding communication mode according to the communication bandwidth and the communication time delay of the service;
s2, collecting tide information input by a power grid side, a clean electricity occupancy of the power grid side, a carbon emission coefficient of the power grid side, tide information injected into a garden, a clean electricity occupancy of the garden, a clean electricity carbon emission coefficient of the garden and power load information of users of the garden;
s3, the user-side comprehensive clean power ratio comprises the idle clean power ratio of the power grid injection park
Figure 314251DEST_PATH_IMAGE001
Is in proportion to active cleaning electricity
Figure 28129DEST_PATH_IMAGE002
Building a user-side comprehensive clean electric ratio calculation model, and respectively calculating the comprehensive active clean electric ratio on line
Figure DEST_PATH_IMAGE003
And comprehensive reactive cleaningElectric proportion
Figure 620916DEST_PATH_IMAGE004
S4, the user-side comprehensive carbon emission coefficient comprises an active carbon emission coefficient in a power grid injection park
Figure 547283DEST_PATH_IMAGE005
And coefficient of reactive carbon emission
Figure 909126DEST_PATH_IMAGE006
Building a calculation model of the user-side comprehensive carbon emission coefficient, and respectively calculating the comprehensive active carbon emission coefficient on line
Figure 262747DEST_PATH_IMAGE007
And integrated reactive carbon emission coefficient
Figure DEST_PATH_IMAGE008
S5, constructing a user side carbon emission calculation model, and calculating the active carbon emission of the user side on line
Figure 857676DEST_PATH_IMAGE009
And the idle carbon emission of the user side
Figure 338467DEST_PATH_IMAGE010
S6, calculating the active adjustment amount of the self-running according to the carbon emission target issued by the power grid
Figure 538504DEST_PATH_IMAGE011
And self-running reactive power adjustment
Figure 63027DEST_PATH_IMAGE012
And is used for controlling the carbon emission.
2. The method for quantitatively calculating the user-side electrical carbon information according to claim 1, wherein: in step S1, the types of the service include: the method comprises the following steps of user photovoltaic detection, distributed energy storage monitoring, intelligent home service, power consumption information acquisition, energy station comprehensive monitoring, video monitoring, intelligent buildings, electric vehicle charging piles or intelligent voice;
the communication mode comprises 4G communication, 5G communication, WiFi communication, Bluetooth communication, ZigBee communication, PLC communication, NB-IOT communication or LoRa communication.
3. The method for quantitatively calculating the user-side electrical carbon information according to claim 1, wherein: in step S2, the power flow information input by the grid side includes active power
Figure 364826DEST_PATH_IMAGE013
Reactive power
Figure 632996DEST_PATH_IMAGE014
The power grid side clean electricity proportion information comprises active clean electricity proportion
Figure 687540DEST_PATH_IMAGE015
Reactive clean power ratio
Figure 648543DEST_PATH_IMAGE016
The grid side carbon emission coefficient comprises an active carbon emission coefficient
Figure 431779DEST_PATH_IMAGE005
Reactive carbon emission coefficient
Figure 238061DEST_PATH_IMAGE006
The power flow information injected into the park comprises active power
Figure 412690DEST_PATH_IMAGE017
Reactive power
Figure 279015DEST_PATH_IMAGE018
The clean electricity proportion information in the park comprises active clean electricity proportion information
Figure 555407DEST_PATH_IMAGE019
Idle clean power percentage information
Figure 165380DEST_PATH_IMAGE020
The coefficient of carbon emission of the clean electricity in the park comprises the coefficient of carbon emission of active power
Figure 460095DEST_PATH_IMAGE021
Reactive carbon emission coefficient
Figure 513633DEST_PATH_IMAGE022
The electric load information of the users in the park comprises active power
Figure 261009DEST_PATH_IMAGE023
Reactive power
Figure 674673DEST_PATH_IMAGE024
4. The method for quantitatively calculating the user-side electrical carbon information according to claim 3, wherein: in step S3, the reactive clean power ratio
Figure 309047DEST_PATH_IMAGE025
Comprises a reactive power compensation device in a park;
the active power cleaning power ratio
Figure 782754DEST_PATH_IMAGE026
Including distributed photovoltaics, sub-systemsDistributed wind power and energy storage power;
model construction is carried out to obtain comprehensive active clean electricity ratio
Figure 751847DEST_PATH_IMAGE027
And comprehensive reactive clean power
Figure 969202DEST_PATH_IMAGE028
The constructed model is shown in formulas (1) and (2):
Figure 723662DEST_PATH_IMAGE029
(1)
Figure 368270DEST_PATH_IMAGE030
(2)。
5. the method for quantitatively calculating the user-side electrical carbon information according to claim 4, wherein: in step S4, the reactive carbon emission coefficient
Figure 90239DEST_PATH_IMAGE006
Comprises a reactive power compensation device in a park;
the active carbon emission coefficient
Figure 596437DEST_PATH_IMAGE005
The system comprises distributed photovoltaic power, distributed wind power and an energy storage power supply;
model construction is carried out to obtain the comprehensive active carbon emission coefficient of the user
Figure 189093DEST_PATH_IMAGE031
And integrated reactive carbon emission coefficient
Figure 4602DEST_PATH_IMAGE008
The constructed model is shown in formulas (3) and (4):
Figure 213867DEST_PATH_IMAGE032
(3)
Figure 523756DEST_PATH_IMAGE033
(4)。
6. the method for quantitatively calculating the user-side electrical carbon information according to claim 4, wherein: in step S5, the ratio of the total active power to the clean power is determined according to the user
Figure DEST_PATH_IMAGE034
Comprehensive idle clean power proportion in users
Figure 767656DEST_PATH_IMAGE035
And the integrated active carbon emission coefficient in the user
Figure DEST_PATH_IMAGE036
Comprehensive reactive carbon emission coefficient in user
Figure 35957DEST_PATH_IMAGE037
And constructing the user side carbon emission calculation model to obtain the user side active carbon emission
Figure 466939DEST_PATH_IMAGE009
And the idle carbon emission of the user side
Figure DEST_PATH_IMAGE038
The constructed model is shown in formulas (5) and (6):
Figure 105818DEST_PATH_IMAGE039
(5)
Figure DEST_PATH_IMAGE040
(6)
calculating the total carbon emission of the user according to the formula (5) and the formula (6)
Figure 469804DEST_PATH_IMAGE041
The model constructed is shown in formula (7):
Figure DEST_PATH_IMAGE042
(7)。
7. the method for quantitatively calculating the user-side electrical carbon information according to claim 1, wherein: the specific method of step S6 is as follows:
according to the active carbon emission and reactive carbon emission targets issued by the power grid
Figure 909006DEST_PATH_IMAGE043
And reactive carbon emission target of reactive carbon emission
Figure DEST_PATH_IMAGE044
(ii) a Calculating the active adjustment quantity of the self-operation according to the formula (8) and the formula (9)
Figure 358442DEST_PATH_IMAGE045
And operation reactive power adjustment
Figure DEST_PATH_IMAGE046
For controlling the carbon emission;
Figure 806872DEST_PATH_IMAGE047
(8)
Figure DEST_PATH_IMAGE048
(9)。
8. a user-side electric carbon information quantification calculation system is characterized by comprising: a network interface, a memory, and a processor; wherein the content of the first and second substances,
the network interface is used for receiving and sending signals in the process of receiving and sending information with other external network elements;
the memory for storing a computer program operable on the processor;
the processor, when executing the computer program, executing any of claims 1 to 7
And the step of the user side electric carbon information quantitative calculation method.
9. A computer storage medium storing a program for user-side electrical carbon information quantification calculation, the program for user-side electrical carbon information quantification calculation implementing the steps of the user-side electrical carbon information quantification calculation method according to any one of claims 1 to 7 when executed by at least one processor.
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