Carbon emission response calculation method and device based on carbon emission flow

Abstract

The application discloses a carbon emission response calculation method and device based on carbon emission flow, wherein the method comprises the following steps: calculating the overall carbon flow rate of the power system by the carbon flow rate of each carbon table user, wherein the carbon flow rate is obtained according to the carbon emission flow of each carbon table user; judging whether the overall carbon flow rate is greater than the carbon emission response threshold value; and if the overall carbon flow rate is greater than the carbon emission response threshold value, calculating the target carbon emission reduction amount of one or more carbon table users in the carbon emission response period according to the target carbon emission response demand, and starting the carbon emission response according to the target carbon emission reduction amount. Thus, the problem that the related art cannot distinguish the actual energy carbon emission intensity of the demand side of the carbon table user, the power system cannot effectively adjust the carbon emission amount, the carbon emission regulation and control capability of the demand side response technology is low, and the low-carbon emission demand cannot be met is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of low carbon, in particular to a carbon emission response calculation method and device based on carbon emission flow. BACKGROUND

[0002] Demand side response is a key technology in smart grid technology. With the continuous rise of residential electricity demand, peak load is prone to occur during peak electricity consumption period, leading to mismatch between supply and demand of power grid, and bringing great challenges to the safe and stable operation of power system. Demand side response technology guides the energy consumption behavior of carbon table users to avoid peak power load, thereby reducing peak power load and ensuring the safe and stable operation of power system.

[0003] Under the background of climate change and sustainable development, low-carbon operation of energy demand side is an important emission reduction approach. Related technologies mainly adjust the electricity consumption of demand side from the perspective of power system power balance. However, since they cannot identify the actual energy consumption carbon intensity of demand side of carbon table users, they lack effective adjustment for carbon emissions, and the carbon emission regulation and control capability of demand side response technology is low, which needs to be improved. SUMMARY

[0004] The present application is made based on the inventor's understanding and discovery of the following problems:

[0005] Analysis and calculation of carbon emissions is a basic and key work for demand side carbon emission response, and carbon emission flow technology is an indirect energy consumption side carbon emission calculation method based on network flow analysis. Carbon emission flow technology applies power flow tracing method to carbon flow tracing, and reveals the basic characteristics and laws of virtual carbon emission flow in energy network. Related technologies propose a carbon emission flow calculation method by establishing a carbon emission flow model combined with the network structure and physical characteristics of power grid. This technology is a carbon emission flow technology for power system, which defines the physical meaning, calculation method and conversion relationship of indexes such as carbon emission intensity and carbon flow density of nodes, branches and other in power system.

[0006] In summary, in the field of low carbon technology, related technologies need to be improved on the basis of existing demand side response technology. It is necessary to propose a carbon emission response calculation method, process and system based on carbon emission flow, on the basis of existing demand side response technology, combined with carbon emission flow technology, propose carbon emission response technology, calculate the carbon dioxide emission reduction after demand side response, and propose a set of response process and system in carbon emission response.

[0007] The application provides a carbon emission response calculation method and device based on carbon emission flow, to solve the problem that related technologies cannot identify the actual energy consumption carbon emission intensity of the demand side of carbon table users, resulting in that the power system cannot effectively adjust the carbon emission, the carbon emission regulation and control capability of the demand side response technology is low, and the low-carbon emission demand cannot be met.

[0008] The first aspect embodiment of the application provides a carbon emission response calculation method based on carbon emission flow, including the following steps: calculating the overall carbon flow rate of the power system from the carbon flow rate of each carbon table user, wherein the carbon flow rate is obtained according to the carbon emission flow of each carbon table user; judging whether the overall carbon flow rate is greater than the carbon emission response threshold value; and if the overall carbon flow rate is greater than the carbon emission response threshold value, calculating the target carbon emission reduction amount of one or more carbon table users in the carbon emission response period according to the target carbon emission response demand, and starting the carbon emission response according to the target carbon emission reduction amount.

[0009] Optionally, in an embodiment of the application, the calculation of the overall carbon flow rate from the carbon flow rate of each carbon table user includes: calculating the carbon emission flow of each carbon table user according to the line flow of the power system, the output of each type of power source and the load of the carbon table user; obtaining the carbon emission intensity of each carbon table user corresponding node in the power system according to the carbon emission flow of each carbon table user, and determining the node carbon potential of each carbon table user in the current period; calculating the carbon flow rate of each carbon table user according to the node carbon potential of each carbon table user, and obtaining the overall carbon flow rate.

[0010] Optionally, in an embodiment of the application, the calculation formula of the carbon flow rate of each carbon table user is:

[0011]

[0012] Wherein, i is a node, e i is the carbon potential of the i(th) (i=1, 2, …, N) system node, N is the number of overall carbon table users, R i is the carbon flow rate of carbon table user i, defined as the carbon emission amount consumed by the carbon table user per unit time with energy consumption, with the unit of kgCO2 / h, P i is the power consumption of carbon table user i, with the unit of kW.

[0013] Optionally, in an embodiment of the application, the calculation formula of the target carbon emission reduction amount is:

[0014]

[0015] Wherein, ΔF i is the carbon emission reduction amount of carbon table user i in the carbon emission response period, with the unit of kgCO2, R i,tis the real-time carbon flow rate of the carbon table user, T is the current time.

[0016] Optionally, in an embodiment of the present application, before judging whether the total carbon flow rate is greater than the carbon emission response threshold, further comprising: determining the carbon emission response threshold based on the total installed capacity of thermal power of the power system and the average carbon emission intensity of thermal power.

[0017] The second aspect embodiment of the present application provides a carbon emission response calculation device based on carbon emission flow, comprising: a calculation module for calculating the total carbon flow rate of the power system from the carbon flow rate of each carbon table user, wherein the carbon flow rate is obtained according to the carbon emission flow of each carbon table user; a judgment module for judging whether the total carbon flow rate is greater than a carbon emission response threshold; and a response module for calculating the target carbon emission reduction amount of one or more carbon table users in the carbon emission response period according to the target carbon emission response demand if the total carbon flow rate is greater than the carbon emission response threshold, and starting the carbon emission response according to the target carbon emission reduction amount.

[0018] Optionally, in an embodiment of the present application, the calculation module comprises: a first calculation unit for calculating the carbon emission flow of each carbon table user according to the line flow of the power system, the output of each type of power source and the load of the carbon table user; an acquisition unit for acquiring the carbon emission intensity of each carbon table user corresponding node in the power system according to the carbon emission flow of each carbon table user, and determining the node carbon potential of each carbon table user in the current period; and a second calculation unit for calculating the carbon flow rate of each carbon table user according to the node carbon potential of each carbon table user, and obtaining the total carbon flow rate.

[0019] Optionally, in an embodiment of the present application, the calculation formula of the carbon flow rate of each carbon table user is:

[0020]

[0021] wherein i is a node, e i is the carbon potential of the i th (i = 1, 2, …, N) system node, N is the total number of carbon table users, R i is the carbon flow rate of the carbon table user i, defined as the carbon emission amount consumed by the carbon table user per unit time with energy, unit: kgCO2 / h, P i is the power consumption of the carbon table user i, unit: kW.

[0022] Optionally, in an embodiment of the present application, the calculation formula of the target carbon emission reduction amount is:

[0023]

[0024] wherein ΔF iR is the carbon emission amount reduced by the carbon table user i in the carbon emission response period, in kgCO2, R i,t R is the carbon emission amount reduced by the carbon table user i in the carbon emission response period, in kgCO2, R

[0025] Optionally, in an embodiment of the present application, the carbon emission response calculation device based on carbon emission flow further comprises a threshold determination module configured to determine the carbon emission response threshold based on the total installed capacity of the thermal power of the power system and the average carbon emission intensity of the thermal power.

[0026] The third aspect of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the carbon emission response calculation method based on carbon emission flow as described in the above embodiments.

[0027] The fourth aspect of the present application provides a computer readable storage medium having a computer program stored thereon, wherein the program is executed by a processor to implement the carbon emission response calculation method based on carbon emission flow as claimed in any one of claims 1-5.

[0028] The embodiments of the present application calculate the overall carbon flow rate of the power system, and start the carbon emission response according to the overall carbon flow rate of the power system and the target carbon emission response demand, so as to facilitate real-time acquisition of the energy indirect emission data of the carbon table user, and calculation of the carbon emission reduction amount after the response of the carbon table user, thereby effectively guiding the carbon table user to reduce the demand in the period of high energy carbon emission intensity, and providing a reasonable implementation scheme for the whole process of carbon emission response, so as to effectively reduce the overall carbon emission level of the power system. Thus, the problems that the related art cannot distinguish the actual energy carbon emission intensity of the demand side of the carbon table user, the power system cannot effectively adjust the carbon emission amount, the carbon emission regulation and control capability of the demand side response technology is low, and the low-carbon emission demand cannot be met are solved.

[0029] Additional aspects and advantages of the present application will be made apparent by the following description and the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0030] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description, taken in conjunction with the accompanying drawings, in which:

[0031] Figure 1 A flowchart of a carbon emission response calculation method based on carbon emission flow according to an embodiment of the present application;

[0032] Figure 2 A flowchart of a carbon emission response calculation method based on carbon emission flow according to an embodiment of the present application;

[0033] Figure 3 A schematic diagram of the principle of a carbon emission response calculation method based on carbon emission flow according to an embodiment of the present application;

[0034] Figure 4 A schematic diagram of the structure of a carbon emission response calculation device based on carbon emission flow provided according to an embodiment of the present application;

[0035] Figure 5 A schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0036] Embodiments of the present application are described in detail below with reference to the accompanying drawings, in which the same or similar numerals or characters represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application, and cannot be understood as limiting the present application.

[0037] A carbon emission response calculation method and device based on carbon emission flow according to an embodiment of the present application are described below with reference to the accompanying drawings. In view of the problem that the related art mentioned in the background art cannot identify the actual energy use carbon emission intensity of the carbon table user demand side, leading to the fact that the power system cannot effectively adjust the carbon emission amount, so that the carbon emission regulation and control capability of the demand side response technology is low, and the low carbon emission demand cannot be met, the present application provides a carbon emission response calculation method based on carbon emission flow. In this method, the overall carbon flow rate of the power system is calculated, and according to the overall carbon flow rate of the power system, the target carbon emission response demand is combined to start the carbon emission response, so as to facilitate real-time acquisition of the energy use indirect emission data of the carbon table user, and calculation of the carbon emission reduction amount after the carbon table user responds, and then effectively guide the carbon table user to reduce demand during the period of high energy use carbon emission intensity, and provide a reasonable implementation scheme for the whole process of carbon emission response, thereby effectively reducing the overall carbon emission level of the power system. Thus, the problem that the related art cannot identify the actual energy use carbon emission intensity of the carbon table user demand side, leading to the fact that the power system cannot effectively adjust the carbon emission amount, so that the carbon emission regulation and control capability of the demand side response technology is low, and the low carbon emission demand cannot be met, etc. is solved.

[0038] Specifically, Figure 1 A flowchart of a carbon emission response calculation method based on carbon emission flow provided by an embodiment of the present application.

[0039] As Figure 1 shown, the carbon emission response calculation method based on carbon emission flow includes the following steps:

[0040] In step S101, the overall carbon flow rate of the power system is calculated from the carbon flow rate of each carbon meter user, wherein the carbon flow rate is obtained from the carbon emission flow of each carbon meter user.

[0041] It can be understood that the carbon meter user in the embodiment of the present application refers to a single electricity load node equipped with a carbon meter and an energy management unit and having signed a contract in a specific area, or an electricity carbon meter user integrated load integrator in a certain area. The embodiment of the present application obtains the carbon flow rate according to the carbon emission flow of each carbon meter user, and calculates the overall carbon flow rate of the power system. Through the calculation of the overall carbon flow rate of the power system, the embodiment of the present application can obtain the actual energy carbon emission intensity of the demand side of the carbon meter user, which is beneficial to effectively adjusting the carbon emission of the power system, improving the carbon emission regulation and control capability of the demand side response technology, and meeting the low carbon emission demand.

[0042] Optionally, in an embodiment of the present application, the calculation of the overall carbon flow rate from the carbon flow rate of each carbon meter user comprises: calculating the carbon emission flow of each carbon meter user according to the line flow of the power system, the output of various power sources and the load of the carbon meter user; obtaining the carbon emission intensity of each carbon meter user corresponding node in the power system according to the carbon emission flow of each carbon meter user, and determining the node carbon potential of each carbon meter user in the current period; calculating the carbon flow rate of each carbon meter user according to the node carbon potential of each carbon meter user, and obtaining the overall carbon flow rate.

[0043] Specifically, the embodiment of the present application can obtain the carbon emission intensity of each carbon meter user corresponding node in the power system according to the line flow of the power system, the output of various power sources and the load of the carbon meter user, and through the central server, determine the node carbon potential of each carbon meter user in the current period, and calculate the carbon flow rate of each carbon meter user according to the node carbon potential of each carbon meter user, and obtain the overall carbon flow rate through the carbon emission flow calculation. The central server is a control server managed by the power grid dispatching center responsible for initiating the carbon emission response instruction. Through the calculation of the overall carbon flow rate of the power system, the embodiment of the present application can obtain the actual energy carbon emission intensity of the demand side of the carbon meter user, which is beneficial to effectively adjusting the carbon emission of the power system, improving the carbon emission regulation and control capability of the demand side response technology, and meeting the low carbon emission demand.

[0044] In the actual execution process, the calculation method of the carbon emission flow is as follows:

[0045] The branch flow distribution matrix is defined as:

[0046] The embodiment of the present application can use to represent the branch flow distribution matrix of the system.

[0047] where, if there is a branch connecting node i and node j (i, j = 1, 2, …, N) and the positive active power flowing into node i through the branch is p, then If the active power p flowing through the branch is a reverse power flow, then In other cases

[0048] It should be noted that, for all diagonal elements, there is

[0049] The unit injection distribution matrix of the system is defined as:

[0050] The unit injection distribution matrix of the system is defined as:

[0051] where, if the kth (k = 1, 2, …, K) generator is connected to node j and the active power p injected from the generator into node j, then Otherwise

[0052] The node active flow matrix is defined as:

[0053] The node active flow matrix of the system is defined as:

[0054] where, the node active flow is defined as the absolute value of the active power flowing into the node in the direction of the power flow. In the calculation of carbon emission flow, this concept will be used to describe the contribution of the generator to the node and the contribution of the node to the node carbon potential. For node i, there is:

[0055]

[0056] where, I + represents the set of branches with power flowing into node i, is the active power of branch s, is the active power output of the generator connected to node i (if there is no generator in the node or the generator output is 0, then ). All non-diagonal elements in the matrix are

[0057] The unit carbon emission intensity vector is defined as:

[0058] The unit carbon emission intensity of the generator is defined as the carbon emission value caused by the generator when generating one unit of electric energy, with the unit of kgCO2 / kWh.

[0059] where, the carbon emission intensity of the kth (k = 1, 2, …, K) generator is denoted as e Gk The unit carbon emission intensity vector is denoted as:​​

[0060] E G = [e G1 1, e G2 2, …, e GK N] T .

[0061] Define the node carbon potential vector:

[0062] Embodiments of the present application can define the node carbon potential as the equivalent carbon emission value of the power generation side caused by consuming a unit of electrical energy at the node, with units of kgCO2 / kWh.

[0063] Wherein, the carbon potential of the i(i=1, 2, …, N) system node is denoted as e i , the node carbon potential vector is expressed as:

[0064] E N = [e1, e2, …, e N N] T .

[0065] Node carbon potential calculation:

[0066] Embodiments of the present application calculate the carbon potential e i of the node i in the system by the following formula:

[0067]

[0068] Wherein, is an N-dimensional unit row vector, and the i-th element is 1.

[0069] The carbon potential vector calculation of the system nodes includes:

[0070] Node active power flux matrix definition:

[0071]

[0072] Combining the node carbon potential and the node active power flux matrix, we get:

[0073]

[0074] Expand the above formula to the full system dimension for the node carbon potential:

[0075]

[0076] Move the term E N to the left side and combine to get the formula for calculating the carbon potential vector of the system nodes:

[0077]

[0078] Optionally, in an embodiment of the present application, the formula for calculating the carbon flow rate of each carbon meter user is:

[0079]

[0080] wherein i is a node, e i is the carbon potential of the i th (i = 1, 2, …, N) system node, N is the total number of carbon meter users, R i is the carbon flow rate of the carbon meter user i, defined as the amount of carbon emissions consumed by the carbon meter user per unit of energy in unit time, in kgCO2 / h, P i is the power consumption of the carbon meter user i, in kW.

[0081] In some specific embodiments, each carbon meter on the carbon meter user side receives the node carbon potential data of the node where it is located, and obtains the carbon flow rate of the carbon meter user through the formula for calculating the carbon flow rate of each carbon meter user, and reports the carbon flow rate of the carbon meter user R i to the central server.

[0082] The central server can store the node carbon flow data of each carbon meter user, and further calculate the total carbon flow rate of the carbon meter users in the region, and the specific calculation method is as follows:

[0083] The total carbon flow rate is obtained by adding the carbon flow rates uploaded by each carbon meter user:

[0084]

[0085] wherein R total refers to the total carbon flow rate of the regional carbon meter users.

[0086] In step S102, it is judged whether the total carbon flow rate is greater than the carbon emission response threshold.

[0087] In actual execution process, the total carbon flow rate R total obtained through calculation can be compared with the carbon emission response threshold R thres , and specifically, if R total > R thres , step S103 is performed, otherwise, return to step S101 to calculate the total carbon flow rate R total of the update time period. Through comparison of the total carbon flow rate and the carbon emission response threshold, the response scheme can be further determined, which is beneficial to effective adjustment of carbon emissions by the power system, improves the carbon emission regulation and control capability of the demand side response technology, and meets the low carbon emission demand.

[0088] Wherein the carbon emission response threshold will be described in detail below.

[0089] Optionally, in an embodiment of the present application, before judging whether the overall carbon flow rate is greater than the carbon emission response threshold, further comprising: determining the carbon emission response threshold based on the total installed capacity of thermal power in the power system and the average carbon emission intensity of thermal power.

[0090] The carbon emission response threshold is described in detail here. Specifically, the carbon emission response threshold can be determined by the installed capacity structure of the power source in the region. In an embodiment of the present application, the carbon emission response threshold can be determined according to the total installed capacity of thermal power in the power system and the average carbon emission intensity of thermal power. For example, the carbon emission response threshold can be set to 80% of the product of the total installed capacity of thermal power and the average carbon emission intensity of thermal power. The specific value can be set by a person skilled in the art according to the actual situation, and is not specifically limited here.

[0091] In step S103, if the overall carbon flow rate is greater than the carbon emission response threshold, the target carbon emission reduction amount of the one or more carbon table users in the carbon emission response period is calculated according to the target carbon emission response demand, and the carbon emission response is started according to the target carbon emission reduction amount.

[0092] In an embodiment of the present application, the response demand can be issued according to the degree to which the current overall carbon flow rate exceeds a certain carbon emission response threshold, and the demand information can be transmitted to the energy management unit of the carbon table user side. The carbon response demand includes a response period and a carbon emission reduction demand. Specifically, the response demand is issued to the one or more carbon table users by calculating the target carbon emission reduction amount of the one or more carbon table users in the carbon emission response period, so that the carbon table user side reduces energy consumption and realizes carbon response. Specifically, the carbon table user side receives the carbon response demand information, reduces the power load of the carbon table user in the response period, and thus reduces the node carbon flow rate of the carbon table user. In an embodiment of the present application, the target carbon emission reduction amount is calculated, and the corresponding response demand is issued to the carbon table user, which is beneficial to effectively adjusting the carbon emission amount of the power system, improving the carbon emission regulation and control capability of the demand side response technology, and meeting the low-carbon emission demand.

[0093] Optionally, in an embodiment of the present application, the calculation formula of the target carbon emission reduction amount is:

[0094]

[0095] wherein, ΔF i is the carbon emission reduction amount of the carbon table user i in the carbon emission response period, the unit is kgCO2, R i,t is the real-time carbon flow rate of the carbon table user, and T is the current time.

[0096] Specifically, in an embodiment of the present application, the current time can be recorded as T, and the response period can be the time period from T time to T+1h time.

[0097] In this embodiment of the application, the carbon emission reduction demand, allocated according to the load ratio of each carbon meter user, can be defined as:

[0098]

[0099] Where N is the total number of carbon meter users, and k is the allocation multiplier, which is generally set to a number greater than 1. Here, k = 1.2 is selected.

[0100] This application embodiment can obtain the real-time carbon flow rate R of the carbon meter user through a carbon meter. i,t Calculate the real-time carbon emission reduction intensity for carbon meter users:

[0101] ΔR i,t =R i -R i,t ,

[0102] Among them, R i This refers to the carbon flow rate reported by carbon meter user i in the above steps.

[0103] The embodiments of this application can compare ΔR. i,t Carbon emission reduction needs of carbon meter users like The system will then feed back to the energy management unit, requesting an increase in load reduction. Otherwise, the energy management unit will maintain the current reduction level or appropriately increase the load on carbon meter users to achieve real-time dynamic carbon emission response for carbon meter users.

[0104] The carbon emission reductions for each carbon meter user during the carbon emission response period are as follows:

[0105]

[0106] Where, ΔF i This represents the amount of carbon emissions reduced by carbon meter user i during the carbon emission response period, expressed in kgCO2.

[0107] It is understandable that the ex-post emission reductions of carbon meter users can serve as a basis for providing emission reduction compensation for their subsequent response actions, thereby protecting the interests of carbon meter users. The following section will combine... Figure 2 and Figure 3 A specific embodiment of this application will be described in detail below.

[0108] like Figure 2 As shown:

[0109] Step S201: The central server calculates and transmits the node carbon potential of the user in the current period to the carbon meter user. In the embodiment of the present application, the carbon meter user refers to a single electricity load node in a specific region equipped with a carbon meter and an energy management unit, or a load aggregator integrated by electricity users in a certain region; the central server refers to a control server managed by the power grid dispatching center responsible for initiating carbon emission response instructions.

[0110] In the embodiment of the present application, the power grid dispatching center can obtain the carbon emission intensity of each node at present based on the line flow, power output of various types of power sources, and load of the carbon meter user of the system, and through carbon emission flow calculation. For each carbon meter user participating in carbon emission response, the central server can obtain the node position of the carbon meter user, and then send the node carbon potential data of the node to the carbon meter user. Through calculation of the overall carbon flow rate of the power system, the actual energy carbon emission intensity of the demand side of the carbon meter user can be obtained, which is beneficial to effective adjustment of carbon emission of the power system, improves the carbon emission regulation and control capability of the demand side response technology, and meets the low carbon emission demand.

[0111] The calculation method of the carbon emission flow is as follows:

[0112] The branch flow distribution matrix of the system is represented by

[0113] The branch flow distribution matrix of the system is represented by

[0114] If the active power flow p flowing through the branch is a reverse flow, then If the active power flow p flowing through the branch is a reverse flow, then Otherwise

[0115] It should be noted that for all diagonal elements, there is

[0116] The branch flow distribution matrix of the system is represented by

[0117] The branch flow distribution matrix of the system is represented by

[0118] If the active power flow p flowing through the branch is a reverse flow, then Otherwise

[0119] The branch flow distribution matrix of the system is represented by

[0120] The branch flow distribution matrix of the system is represented by​​ This represents the active flux matrix of the system nodes.

[0121] Here, nodal active flux is defined as the absolute value of the active power flow flowing into the node in the direction of the power flow. In carbon emission flow calculations, this concept is used to describe the contribution of generator units to nodes and the contribution of nodes to each other's carbon potential. For node i, we have:

[0122]

[0123] Among them, I + Let i represent the set of branches into which power flows into node i. The active power of branch s, The active power output of the unit connected to node i (if the node has no generator or the unit output is 0, then...). All off-diagonal elements in this matrix.

[0124] Define the unit's carbon emission intensity vector:

[0125] In this application embodiment, the carbon emission intensity of the generator set can be defined as the carbon emission value caused by the generator set generating a unit of electrical energy, with the unit being kgCO2 / kWh.

[0126] Let e ​​be the carbon emission intensity of the k-th (k=1,2,…,K) generator unit. Gk The carbon emission intensity vector of the unit is expressed as:

[0127] E G =[e G1 ,e G2 ,…,e GK ] T .

[0128] Define the nodal carbon potential vector:

[0129] In this application embodiment, the node carbon potential can be defined as the carbon emission value equivalent to that on the power generation side caused by consuming a unit of electrical energy at that node, with the unit being kgCO2 / kWh.

[0130] Here, the carbon potential of the i-th (i = 1, 2, ..., N) system node is denoted as e. i The nodal carbon potential vector is represented as:

[0131] E N =[e1,e2,…,e N ] T .

[0132] Calculation of nodal carbon potential:

[0133] In this embodiment of the application, the carbon potential e of node i in the system is calculated using the following formula.i :

[0134]

[0135] where, is an N-dimensional unit row vector with its i-th element being 1.

[0136] The carbon potential vector calculation of the whole system node includes:

[0137] The active power flux matrix of the node is defined as:

[0138]

[0139] Combining the node carbon potential and the active power flux matrix of the node, we get:

[0140]

[0141] The above formula is extended to the whole system dimension for the node carbon potential:

[0142]

[0143] E N The carbon potential vector calculation formula of the whole system node is obtained by moving and combining:

[0144]

[0145] Step S202: Each carbon table user calculates and uploads the real-time carbon flow rate.

[0146] Specifically, the carbon flow rate calculation formula of the carbon table user is:

[0147]

[0148] where, i is the node, e i is the carbon potential of the i-th (i = 1, 2, …, N) system node, N is the total number of carbon table users, R i is the carbon flow rate of the carbon table user i, defined as the carbon emission amount consumed by the carbon table user per unit time with energy consumption, with the unit of kgCO2 / h, P i is the power of the carbon table user i, with the unit of kW.

[0149] Step S203: The central server stores the node carbon flow data of each carbon table user and calculates the total carbon flow rate of the carbon table users in the region.

[0150] Specifically, the total carbon flow rate is obtained by adding the carbon flow rates uploaded by each carbon table user:

[0151]

[0152] where, Rtotal the total carbon flow rate of the carbon table users.

[0153] Step S204: judging whether the total carbon flow rate is greater than the carbon emission response threshold. The total carbon flow rate R total is judged whether it is greater than the preset carbon emission response threshold R thres , if R total > R thres , the next step is performed, otherwise, it returns to step S201. Wherein, the carbon emission response threshold should be determined by the installed capacity structure of the power source in the region, for example, it can be set as 80% of the total installed capacity of thermal power multiplied by the average carbon emission intensity of thermal power. Through comparison of the total carbon flow rate and the carbon emission response threshold, the embodiment of the present application can further determine the response scheme, which is beneficial to effectively adjust the carbon emission of the power system, improve the carbon emission regulation and control capability of the demand side response technology, and meet the low carbon emission demand.

[0154] Step S205: the center server issues the carbon emission response demand. According to the degree that the current total carbon flow rate exceeds the preset carbon emission response threshold, the embodiment of the present application can issue the carbon response demand and transmit the demand information to the user side energy management unit, wherein the carbon response demand includes the response period and the carbon emission reduction demand.

[0155] Specifically, the present application can record the current time as T, and the response period is the time period from T period to T+1h time period. In the embodiment of the present application, the carbon emission reduction demand is allocated according to the load proportion of each carbon table user, which can be defined as:

[0156]

[0157] Wherein, N is the total number of carbon table users, and k is the allocation multiple, which is generally set as a number greater than 1, and here k=1.2 is selected.

[0158] Step S206: the carbon table user side energy management unit controls the reduction of energy consumption to realize carbon response. The carbon table user side energy management unit receives the carbon response demand information, and in the response period, reduces the user's electricity load to reduce the user's node carbon flow rate.

[0159] The embodiment of the present application can obtain the real-time carbon flow rate R i,t of the carbon table user through the carbon table, and calculate the real-time carbon emission reduction intensity of the carbon table user:

[0160] ΔR i,t = R i - R i,t ,

[0161] Wherein, R i is the carbon flow rate reported by the carbon table user i in step S202.

[0162] The embodiment of the present application can compare ΔR i,t The carbon table user's carbon emission reduction demand If If, feedback to the energy management unit, requiring to increase the load reduction degree, otherwise, the energy management unit keeps the current reduction unchanged, or appropriately increases the carbon table user's load, realizes the real-time dynamic carbon emission response of the carbon table user, realizes the dynamic adjustment of carbon emission, and is more beneficial to low-carbon environmental protection. The embodiment of the present application calculates the target carbon emission reduction amount, and publishes the corresponding response demand to the carbon table user, which is beneficial to the effective adjustment of the carbon emission amount of the power system, improves the carbon emission regulation and control capability of the demand side response technology, and meets the low-carbon emission demand.

[0163] Step S207: uploading carbon table data on the carbon table user side.

[0164] Step S208: carbon response post-emission reduction amount settlement. The carbon emission reduction amount of each carbon table user in the carbon emission response period is as follows:

[0165]

[0166] Where, ΔF i is the carbon emission reduction amount of the carbon table user i in the carbon emission response period, and the unit is kgCO2.

[0167] In the embodiment of the present application, the post-emission reduction amount of the carbon table user can be used as the basis for providing emission reduction compensation for the subsequent response behavior of the carbon table user, and thus the interests of the carbon table user are protected.

[0168] According to the carbon emission response calculation method based on carbon emission flow provided by the embodiment of the present application, the overall carbon flow rate of the power system is calculated, and the carbon emission response is started according to the overall carbon flow rate of the power system in combination with the target carbon emission response demand, which is convenient for real-time acquisition of the energy indirect emission data of the carbon table user, calculation of the carbon emission reduction amount after the response of the carbon table user, and effective guidance of the carbon table user to reduce demand in the period of high energy carbon emission intensity. And a reasonable implementation scheme is provided for the whole process of carbon emission response, thereby effectively reducing the overall carbon emission level of the power system. Thus, the problems that the related art cannot distinguish the actual energy carbon emission intensity of the demand side of the carbon table user, the power system cannot effectively adjust the carbon emission amount, the carbon emission regulation and control capability of the demand side response technology is low, and the low-carbon emission demand cannot be met are solved.

[0169] Secondly, the carbon emission response calculation device based on carbon emission flow provided by the embodiment of the present application is described with reference to the accompanying drawings.

[0170] Figure 4 is the block schematic diagram of the carbon emission response calculation device based on carbon emission flow of the embodiment of the present application.

[0171] AsFigure 4 As shown, the carbon emission response calculation device 10 based on the carbon emission flow comprises a calculation module 100, a judgment module 200 and a response module 300.

[0172] Specifically, the calculation module 100 is configured to calculate an overall carbon flow rate of the power system from carbon flow rates of each carbon meter user, wherein the carbon flow rate is obtained according to the carbon emission flow of each carbon meter user.

[0173] The judgment module 200 is configured to judge whether the overall carbon flow rate is greater than a carbon emission response threshold value.

[0174] The response module 300 is configured to calculate target carbon emission reduction amounts of one or more carbon meter users in a carbon emission response period according to a target carbon emission response demand if the overall carbon flow rate is greater than the carbon emission response threshold value, and to start the carbon emission response according to the target carbon emission reduction amounts.

[0175] Optionally, in an embodiment of the present application, the calculation module 100 comprises a first calculation unit, an acquisition unit and a second calculation unit.

[0176] The first calculation unit is configured to calculate the carbon emission flow of each carbon meter user according to line flow of the power system, output of each type of power source and load of the carbon meter user.

[0177] The acquisition unit is configured to acquire carbon emission intensities of nodes corresponding to each carbon meter user in the power system according to the carbon emission flow of each carbon meter user, and to determine node carbon potentials of each carbon meter user in a current period.

[0178] The second calculation unit is configured to calculate the carbon flow rate of each carbon meter user according to the node carbon potential of each carbon meter user, and to obtain the overall carbon flow rate.

[0179] Optionally, in an embodiment of the present application, a calculation formula of the carbon flow rate of each carbon meter user is as follows:

[0180]

[0181] wherein i is a node, e i is a carbon potential of an i(th) (i=1, 2, …, N) system node, N is a total number of carbon meter users, R i is the carbon flow rate of the carbon meter user i, defined as a carbon emission amount consumed by the carbon meter user with energy in a unit time, with a unit of kgCO2 / h, P i is a power consumption of the carbon meter user i, with a unit of kW.

[0182] Optionally, in an embodiment of the present application, a calculation formula of the target carbon emission reduction amount is as follows:

[0183]

[0184] wherein, ΔF i is the carbon emission amount reduced by the carbon table user i during the carbon emission response period, in kgCO2, R i,t is the real-time carbon flow rate of the carbon table user, and T is the current time.

[0185] Optionally, in an embodiment of the present application, the carbon emission response calculation device 10 based on carbon emission flow further comprises a threshold determination module

[0186] The threshold determination module is configured to determine the carbon emission response threshold based on the total installed capacity of thermal power in the power system and the average carbon emission intensity of thermal power.

[0187] It should be noted that the foregoing explanation and description of the embodiment of the carbon emission response calculation method based on carbon emission flow also applies to the embodiment of the carbon emission response calculation device based on carbon emission flow, which will not be described here.

[0188] The carbon emission response calculation device based on carbon emission flow provided by the embodiment of the present application calculates the overall carbon flow rate of the power system, and starts the carbon emission response according to the overall carbon flow rate of the power system and the target carbon emission response demand, which facilitates real-time acquisition of the energy indirect emission data of the carbon table user and calculation of the carbon emission reduction amount after the response of the carbon table user, thereby effectively guiding the carbon table user to reduce demand during the period of high energy carbon emission intensity and providing a reasonable implementation scheme for the whole process of carbon emission response, so as to effectively reduce the overall carbon emission level of the power system. Thus, the problems that the related art cannot distinguish the actual energy carbon emission intensity of the demand side of the carbon table user, the power system cannot effectively adjust the carbon emission amount, the carbon emission regulation and control capability of the demand side response technology is low, and the low-carbon emission demand cannot be met are solved.

[0189] Figure 5 The electronic device provided by the embodiment of the present application is shown in the structural schematic diagram. The electronic device can include:

[0190] The memory 501, the processor 502, and the computer program stored in the memory 501 and executable on the processor 502.

[0191] The processor 502 implements the carbon emission response calculation method based on carbon emission flow provided in the above-described embodiments when executing the program.

[0192] Further, the electronic device further includes:

[0193] The communication interface 503 is configured to communicate between the memory 501 and the processor 502.

[0194] The memory 501 is configured to store the computer program executable on the processor 502.

[0195] The memory 501 can include a high-speed RAM memory, and can also include a non-volatile memory, for example, at least one disk memory.

[0196] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and complete communication between each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 5 In the figure, only one thick line is used to represent, but it does not mean that there is only one bus or one type of bus.

[0197] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can complete communication between each other through an internal interface.

[0198] The processor 502 can be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0199] The embodiment also provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the carbon emission response calculation method based on carbon emission flow as above.

[0200] In the description of the application, reference to "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that a particular feature, structure, material, or characteristic being described is included in at least one embodiment or example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment or example. Furthermore, the described specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples. In addition, the usage of "N" means at least two, for example two, three or the like, unless explicitly stated otherwise.

[0201] Furthermore, the terms "first", "second", or the like, are used merely as a designation of certain elements or features of the application, and do not imply or connote relative importance or a specific order of precedence. Thus, features defined with "first", "second", etc. can include at least one of the features, either explicitly or implicitly.

[0202] Any process or method descriptions or blocks in flow charts or otherwise described herein represent embodiments of modules, segments, or portions of code which include one or more executable instructions for implementing specific logic functions or steps, and alternate implementations are possible. In some embodiments, the processes or methods described in flow charts or otherwise described herein are not necessarily performed in the order shown or discussed, including, for example, as can be implicitly understood by those skilled in the art. Alternate implementations are within the scope of the preferred embodiments of the present application. Any process descriptions or blocks in flow charts or otherwise described herein represent embodiments of processes that can be understood by one of ordinary skill in the art and that can be implemented as computer executable instructions or code.

[0203] The logic and / or steps represented in the flowcharts and / or described herein, for example, can be considered as a sequence of executable instructions stored in a computer readable medium, which can be executed by an instruction execution system, apparatus or device, such as a computer-based system, processor- based system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions, or a combination thereof. For the purposes of this specification, a "computer readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer readable medium can specifically include the following, which are non-exhaustive list: electrical connection (electrical device having one or N-wire), portable computer diskette (magnetic device), Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read-Only Memory (EPROM or Flash memory), optical fiber device, and portable compact disc read-only memory (CD-ROM). Additionally, the computer readable medium can even be paper or other suitable medium upon which the program is printed, as the program can be electronically captured, for example, by optically scanning the paper or other suitable medium, then electronically converted into a form that can be edited, compiled, or interpreted, or otherwise processed in electronic form into another computer readable medium.

[0204] It should be understood that portions of the application can be implemented in hardware, software, firmware, or combinations thereof. In the above embodiments, the N-steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As such, if implemented in hardware, and in another embodiment, any of the following technologies, known in the art, or their combinations can be used: discrete logic circuitry having logic gates for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), and the like.

[0205] Those skilled in the art can understand that all or part of the steps carried out by the above-mentioned embodiment methods can be completed by programs instructing related hardware, and the programs can be stored in a computer readable storage medium. When the programs are executed, one or a combination of the steps of the method embodiments is included.

[0206] In addition, each of the functional units in the various embodiments of the present application can be integrated in one processing module, or each of the units can be physically present separately, or two or more units can be integrated in one module. The integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0207] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A carbon emission response calculation method based on carbon emission flow, characterized by, The method comprises the following steps: calculating the overall carbon flow rate of the power system from the carbon flow rate of each carbon meter user, wherein the carbon flow rate is obtained from the carbon emission flow of each carbon meter user; determining whether the overall carbon flow rate is greater than a carbon emission response threshold value; and if the overall carbon flow rate is greater than the carbon emission response threshold value, calculating the target carbon emission reduction amount of one or more carbon meter users in a carbon emission response period according to a target carbon emission response demand, and starting carbon emission response according to the target carbon emission reduction amount; the starting carbon emission response according to the target carbon emission reduction amount comprises: issuing a carbon response demand to the one or more carbon meter users according to the target carbon emission reduction amount, wherein the carbon response demand comprises a response period and a carbon emission reduction demand; based on the carbon response demand, controlling the power consumption load of the carbon meter user in the response period according to the carbon emission reduction demand.

2. The method of claim 1, wherein, the calculation of the overall carbon flow rate from the carbon flow rate of each carbon meter user comprises: calculating the carbon emission flow of each carbon meter user according to the line power flow, the output of various power sources and the load of the carbon meter user of the power system; obtaining the carbon emission intensity of the node corresponding to each carbon meter user in the power system from the carbon emission flow of each carbon meter user, and determining the node carbon potential of each carbon meter user in the current period; calculating the carbon flow rate of each carbon meter user according to the node carbon potential of each carbon meter user, and obtaining the overall carbon flow rate.

3. The method of claim 2, wherein, the calculation formula of the carbon flow rate of each carbon meter user is: ， in, i For nodes, For the first i ( i= 1, 2, … , N The carbon potential of each system node, N This represents the total number of carbon meter users. For carbon meter users i The carbon flow rate is defined as the amount of carbon emissions consumed by a carbon meter user per unit of energy consumption, expressed in kgCO2 / h. For carbon meter users i The power consumption is expressed in kW.

4. The method of claim 3, wherein, the calculation formula of the target carbon emission reduction amount is: ， wherein, carbon table user i carbon emission amount reduced during the carbon emission response period, unit is kgCO 2, carbon table user real-time carbon flow rate, T is the current time.

5. The method according to any one of claims 1 to 4, characterized in that, Before determining whether the overall carbon flow rate is greater than the carbon emission response threshold value, the method further comprises: determining the carbon emission response threshold value based on the total installed capacity of thermal power and the average carbon emission intensity of thermal power of the power system.

6. A carbon emission response computing apparatus based on carbon emission flow, characterized by, comprises: a calculation module for calculating the overall carbon flow rate of the power system from the carbon flow rate of each carbon meter user, wherein the carbon flow rate is obtained from the carbon emission flow of each carbon meter user; a determination module for determining whether the overall carbon flow rate is greater than a carbon emission response threshold value; and a response module for, if the overall carbon flow rate is greater than the carbon emission response threshold value, calculating the target carbon emission reduction amount of one or more carbon meter users in a carbon emission response period according to a target carbon emission response demand, and starting carbon emission response according to the target carbon emission reduction amount; the starting carbon emission response according to the target carbon emission reduction amount comprises: issuing a carbon response demand to the one or more carbon meter users according to the target carbon emission reduction amount, wherein the carbon response demand comprises a response period and a carbon emission reduction demand; based on the carbon response demand, controlling the power consumption load of the carbon meter user in the response period according to the carbon emission reduction demand.

7. The apparatus of claim 6, wherein, the calculation module comprises: a first calculation unit for calculating the carbon emission flow of each carbon meter user according to the line power flow, the output of various power sources and the load of the carbon meter user of the power system; an acquisition unit for obtaining the carbon emission intensity of the node corresponding to each carbon meter user in the power system from the carbon emission flow of each carbon meter user, and determining the node carbon potential of each carbon meter user in the current period; A second calculation unit is configured to calculate a carbon flow rate of each carbon table user according to a node carbon potential of the carbon table user, and obtain the overall carbon flow rate.

8. The apparatus of claim 7, wherein, The calculation formula of the carbon flow rate of each carbon table user is: ， in, i For nodes, For the first i ( i= 1, 2, … , N The carbon potential of each system node, N This represents the total number of carbon meter users. For carbon meter users i The carbon flow rate is defined as the amount of carbon emissions consumed by a carbon meter user per unit of energy consumption, expressed in kgCO2 / h. For carbon meter users i The power consumption is expressed in kW.

9. The apparatus of claim 8, wherein, The calculation formula of the target carbon emission reduction amount is: ， wherein, carbon table user i carbon emission amount reduced during the carbon emission response period, unit is kgCO 2, carbon table user real-time carbon flow rate, T is the current time.

10. The device of any one of claims 6-8, wherein, Further comprising: A threshold determination module is configured to determine the carbon emission response threshold based on a total installed capacity of thermal power of the power system and an average carbon emission intensity of thermal power.

11. An electronic device, comprising: Further comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the carbon emission response calculation method based on carbon emission flow according to any one of claims 1-5.

12. A computer readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the carbon emission response calculation method based on carbon emission flow according to any one of claims 1-5.

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