CN115577234A - Node power supply emission factor calculation method and system based on power flow distribution - Google Patents

Node power supply emission factor calculation method and system based on power flow distribution Download PDF

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CN115577234A
CN115577234A CN202211451495.0A CN202211451495A CN115577234A CN 115577234 A CN115577234 A CN 115577234A CN 202211451495 A CN202211451495 A CN 202211451495A CN 115577234 A CN115577234 A CN 115577234A
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李静
李庆
苗博
周勤勇
陈文静
刘超
马娜
姚国风
唐新忠
邢颖
赵大明
赵钊
李淑珍
于万水
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Abstract

The invention provides a node power supply emission factor calculation method and system based on power flow distribution, wherein the method determines the power flow distribution of a power grid in a time period t through power flow calculation based on a power grid topological structure and power grid scheduling operation data; calculating the electric quantity and carbon emission of the power system node determined based on the space scale in a time period t according to the power flow distribution; calculating a node initial power supply emission factor of the power system node in the time period t when green electricity is not considered according to the electric quantity and the carbon emission; when power consumers purchasing green electricity exist in the power grid, calculating final power supply emission factors of the nodes according to the set correction model; when no power consumer purchasing green electricity exists in the power grid, the node initial power supply emission factor is the node final power supply emission factor. The method and the system provide the power supply emission factor of the power grid with finer granularity, the uniqueness of the green power environment attribute is ensured by considering the influence of green power trade, and the calculation accuracy of the average emission factor of the power grid is improved.

Description

Node power supply emission factor calculation method and system based on power flow distribution
Technical Field
The invention relates to the technical field of low-carbon power, in particular to a node power supply emission factor calculation method and system based on power flow distribution.
Background
The power grid emission factor refers to the carbon dioxide emission amount corresponding to the purchased electricity consumption per unit, and is divided into two types according to different use scenes: the method comprises the following steps of firstly, calculating the average emission factor of a power grid, wherein the average emission factor is used for calculating the emission amount of greenhouse gases; and the second is a power grid baseline emission factor used for calculating the greenhouse gas emission reduction. The invention mainly provides an average emission factor of a power grid suitable for multiple space-time scales, namely a node power supply emission factor aiming at the average emission factor of the power grid. The average emission factor of the power grid is used for accounting the carbon dioxide emission hidden by power consumption of regions, industries, enterprises and other units, so that the carbon dioxide emission hidden by the power consumption can be accounted by the calculation node power supply emission factor, and the method is used for carbon emission trading in a carbon trading market. However, the node power supply factor calculation in the prior art has the following disadvantages:
firstly, the spatial scale is only divided into geographic spaces such as nationwide, regional and provincial, and the demand of the power grid emission factor with finer spatial scale cannot be met;
secondly, the updating frequency is low, the difference between the updating frequency and the actual operation data of the power grid is large, and the timeliness of the calculated data needs to be improved urgently;
thirdly, the influence of green electricity transaction is not considered.
Disclosure of Invention
The invention provides a method and a system for calculating a node power supply emission factor based on load flow distribution, and aims to solve the problems that in the prior art, when the node power supply emission factor is calculated, the space scale is large, the updating frequency is low, the timeliness of calculated data is low, and green electricity transaction is not considered.
According to an aspect of the present invention, the present invention provides a method for calculating a node power supply emission factor based on power flow distribution, the method including:
determining the load flow distribution of the power grid in a time period t through load flow calculation based on the power grid topological structure and power grid scheduling operation data;
calculating the electric quantity and carbon emission of the power system node determined based on the space scale in a time period t according to the power flow distribution;
calculating a node initial power supply emission factor of the power system node in the time period t when green electricity is not considered according to the electric quantity and the carbon emission;
when power consumers purchasing green power exist in the power grid, calculating a final power supply emission factor of the node according to the set correction model;
when no power consumer purchasing green electricity exists in the power grid, the node initial power supply emission factor is the node final power supply emission factor.
Optionally, the method further comprises:
when the power consumer purchasing the green power exists, calculating a green power consumer level emission factor according to the node initial power supply emission factor, the green power purchase amount and the power consumption amount of the power consumer purchasing the green power, wherein the calculation formula of the green power consumer level emission factor is as follows:
Figure DEST_PATH_IMAGE001
Figure 100002_DEST_PATH_IMAGE002
-emission factor, kgCO, of power consumer j buying green electricity during time period t 2 /kWh;
Figure DEST_PATH_IMAGE003
-initial power supply emission factor, kgCO, of node m supplying power to consumer j purchasing green power during time period t 2 /kWh;
Figure 100002_DEST_PATH_IMAGE004
-the total electricity consumption, MWh, of the electricity consumer j who purchased green electricity within time period t;
Figure DEST_PATH_IMAGE005
the green electricity quantity, MWh, purchased by the power consumer j who purchases green electricity in the time period t.
Optionally, calculating, according to the power flow distribution, an electric quantity and a carbon emission of the power system node determined based on the spatial scale in a time period t, includes:
determining nodes of the power system based on the space scale, wherein when the space scale is the minimum, the nodes of the power system are buses and transformers, and when the space scale is not the minimum, the nodes are determined according to the power grid regulation and control jurisdiction range;
calculating the electric quantity injected into each power system node in a time period t according to the power flow distribution, wherein the branch network loss electric quantity in the electric energy transmission process is reduced to a receiving end node, and the power flow distribution comprises the active power and the power flow direction of each branch in the power grid;
calculating a power supply emission factor of each source side unit according to the generated energy of the source side unit in the power grid and the carbon emission generated by power generation;
and calculating the carbon emission amount transferred to each power system node in the time period t according to the power source emission factor, the branch active power and the power flow direction based on a proportion sharing principle.
Optionally, a node initial power supply emission factor of the power system node in the time period t without considering green electricity is calculated according to the electric quantity and the carbon emission, wherein the calculation formula of the node initial power supply emission factor is as follows:
Figure 100002_DEST_PATH_IMAGE006
Figure 100002_DEST_PATH_IMAGE007
-initial power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure 100002_DEST_PATH_IMAGE008
-the amount of power flowing into node n, MWh, during time period t;
Figure DEST_PATH_IMAGE009
-indirect carbon emission, tCO, transferred to node n during time period t 2
Figure 100002_DEST_PATH_IMAGE010
-a time function of indirect carbon emissions transferred to node n;
Figure DEST_PATH_IMAGE011
-a function of time of the amount of power flowing into node n.
Optionally, when there is a power consumer purchasing green power in the power grid, calculating a node final power supply emission factor according to the set correction model, including:
and calculating a final power supply emission factor when the set correction model distributes the carbon emission to the nodes of the power system in proportion, wherein the calculation formula of the final power supply emission factor is as follows:
Figure DEST_PATH_IMAGE013
Figure 100002_DEST_PATH_IMAGE014
-final power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure 624981DEST_PATH_IMAGE009
-the amount of indirect carbon emissions, tCO, transferred to node n during time period t, irrespective of green electricity trade 2 ;
J-the total number of users of power users who purchase green electricity in the time period t;
n is the total number of nodes of the power system;
Figure DEST_PATH_IMAGE015
-node initial power supply emission factor, kgCO, of node m supplying power to power consumer j purchasing green power within time period t 2 /kWh;
Figure 932335DEST_PATH_IMAGE005
The green electricity quantity, MWh, purchased by the power consumer who purchases green electricity in the time period t;
when the set correction model naturally distributes carbon emission for the nodes of the power system according to the load flow, a final power supply emission factor is calculated, and the final power supply emission factor comprises the following steps:
removing the green electricity consumption of an electric power user purchasing green electricity in the power grid and the green electricity generation amount corresponding to a green electricity supplier of the electric power user, and re-determining a new electric power system node and an operation state based on a spatial scale;
determining the load flow distribution of the power grid in a time period t through load flow calculation based on the power grid topological structure and power grid scheduling operation data;
calculating the electric quantity and the carbon emission of the new power system node in a time period t according to the power flow distribution;
and calculating a final power supply emission factor of the new power system node in the time period t without considering green electricity according to the electric quantity and the carbon emission.
According to another aspect of the present invention, the present invention provides a node power supply emission factor calculation system based on power flow distribution, the system comprising:
the first calculation module is used for determining the load flow distribution of the power grid in a time period t through load flow calculation based on the power grid topological structure and power grid scheduling operation data;
the second calculation module is used for calculating the electric quantity and the carbon emission of the power system node determined based on the space scale in a time period t according to the power flow distribution;
the third calculation module is used for calculating a node initial power supply emission factor of the power system node in the time period t without considering green electricity according to the electric quantity and the carbon emission;
the first result module is used for calculating a final power supply emission factor of the node according to the set correction model when a power consumer purchasing green power exists in the power grid; and
and the second result module is used for enabling the node initial power supply emission factor to be the node final power supply emission factor when no power consumer purchasing green electricity exists in the power grid.
Optionally, the system further includes a third result module, configured to, when there is an electric power consumer purchasing green electricity, calculate a green electricity consumer-level emission factor according to the node initial power supply emission factor, a green electricity purchase amount and an electricity consumption amount of the electric power consumer purchasing green electricity, where the green electricity consumer-level emission factor is calculated by:
Figure 403417DEST_PATH_IMAGE001
Figure 64205DEST_PATH_IMAGE002
-emission factor, kgCO, of power consumer j purchasing green electricity during time period t 2 /kWh;
Figure 100002_DEST_PATH_IMAGE016
-initial power supply emission factor, kgCO, of node m supplying power to a consumer j purchasing green power during a time period t 2 /kWh;
Figure 3211DEST_PATH_IMAGE004
-the total electricity consumption, MWh, of the electricity consumers j buying green electricity in time period t;
Figure 28936DEST_PATH_IMAGE005
the green electricity quantity, MWh, purchased by the power consumer j who purchases green electricity in the time period t.
Optionally, the second calculation module comprises:
the node confirmation unit is used for confirming the nodes of the power system based on the space scale, wherein when the space scale is the minimum, the nodes of the power system are buses and transformers, and when the space scale is not the minimum, the nodes are confirmed according to the regulation and control jurisdiction range of a power grid;
the first calculation unit is used for calculating the electric quantity injected into each power system node in a time period t according to the power flow distribution, wherein the branch network loss electric quantity in the electric energy transmission process is reduced to a receiving end node, and the power flow distribution comprises the active power and the power flow direction of each branch in the power grid;
the second calculating unit is used for calculating a power supply emission factor of each source side unit according to the power generation amount of the source side unit in the power grid and the carbon emission amount generated by power generation;
and the third calculating unit is used for calculating the carbon emission amount transferred to each power system node in the time period t according to the power source emission factor, the branch active power and the power flow direction based on a proportion sharing principle.
Optionally, the third calculating module calculates a node initial power supply emission factor of the power system node in the time period t without considering green electricity according to the electric quantity and the carbon emission, wherein a calculation formula of the node initial power supply emission factor is as follows:
Figure 187647DEST_PATH_IMAGE006
Figure 589810DEST_PATH_IMAGE007
-initial power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure DEST_PATH_IMAGE017
-the amount of electrical energy, MWh, flowing into node n within time period t;
Figure 100002_DEST_PATH_IMAGE018
-indirect carbon emission, tCO, transferred to node n during time period t 2
Figure DEST_PATH_IMAGE019
-a time function of indirect carbon emissions transferred to node n;
Figure 100002_DEST_PATH_IMAGE020
-a function of time of the amount of power flowing into node n.
Optionally, the first result module comprises:
the first correction unit is used for calculating a final power supply emission factor when the set correction model is used for proportionally distributing carbon emission for the nodes of the power system, wherein the calculation formula of the final power supply emission factor is as follows:
Figure 100002_DEST_PATH_IMAGE012
Figure DEST_PATH_IMAGE021
-final power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure 100002_DEST_PATH_IMAGE022
-indirect carbon emissions, tCO, transferred to node n during time period t without regard to green electricity transactions 2 ;
J-the total number of users of the power users who purchase green electricity in the time period t;
n is the total number of nodes of the power system;
Figure 288382DEST_PATH_IMAGE016
-node initial power supply emission factor, kgCO, of node m supplying power to power consumer j purchasing green power for a period t 2 /kWh;
Figure DEST_PATH_IMAGE023
The green electricity quantity, MWh, purchased by the power consumer who purchases green electricity within the time period t;
the second correction unit is used for calculating a final power supply emission factor when the set correction model naturally distributes carbon emission for the power system nodes according to the power flow, and comprises the following steps:
removing the green electricity consumption of an electric power user purchasing green electricity in the power grid and the green electricity generation amount corresponding to a green electricity supplier of the electric power user, and re-determining a new electric power system node and an operation state based on a spatial scale;
determining the load flow distribution of the power grid in a time period t through load flow calculation based on the power grid topological structure and the power grid scheduling operation data;
calculating the electric quantity and the carbon emission of the new power system node in a time period t according to the power flow distribution;
and calculating a final power supply emission factor of the new power system node in the time period t without considering green electricity according to the electric quantity and the carbon emission.
The node power supply emission factor calculation method and system based on the power flow distribution provided by the technical scheme of the invention are based on a power grid topological structure and power grid scheduling operation data, and the power flow distribution of a power grid in a time period t is determined through power flow calculation; calculating the electric quantity and carbon emission of the power system node determined based on the space scale in a time period t according to the power flow distribution; calculating a node initial power supply emission factor of the power system node in the time period t when green electricity is not considered according to the electric quantity and the carbon emission; when power consumers purchasing green power exist in the power grid, calculating a final power supply emission factor of the node according to the set correction model; when no power consumer purchasing green electricity exists in the power grid, the node initial power supply emission factor is the node final power supply emission factor. The method and the system fully excavate the value of power generation, power transmission and power utilization data of the power grid, can realize power grid power supply emission factor calculation of multiple-time (year, month, day, hour and minute) and empty (area, provincial level, city, county, transformer power supply area and bus power supply area) scales according to needs by utilizing power grid scheduling data and a power grid topological structure, provide power grid power supply emission factors of finer granularity for different power purchase main bodies, ensure the uniqueness of green power environment attributes by considering the influence of green power trading, improve the calculation accuracy of the average emission factor of the power grid, and further provide technical support for carbon emission reduction work. Meanwhile, the node power supply emission factor can be used for calculating the carbon emission based on the electricity utilization information, and provides technical support for real-time measurement of the carbon emission of the electricity utilization main body.
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A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
fig. 1 is a flowchart of a node power supply emission factor calculation method based on power flow distribution according to a preferred embodiment of the present invention;
FIG. 2 is a flow diagram of an IEEE fourteen-node system in accordance with a preferred embodiment of the present invention;
FIG. 3 is a schematic flow diagram of power flow to a power system node according to a preferred embodiment of the present invention;
fig. 4 is a schematic structural diagram of a node power supply emission factor calculation system based on power flow distribution according to a preferred embodiment of the present invention.
Detailed Description
Example embodiments of the present invention will now be described with reference to the accompanying drawings, however, the invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, which are provided for a complete and complete disclosure of the invention and to fully convey the scope of the invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. In addition, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their context in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flowchart of a node power supply emission factor calculation method based on power flow distribution according to a preferred embodiment of the present invention. As shown in fig. 1, the node power supply emission factor calculation method based on power flow distribution according to the preferred embodiment starts from step 101.
In step 101, the power flow distribution of the power grid in a time period t is determined through power flow calculation based on the power grid topology and the power grid scheduling operation data.
Fig. 2 is a system flow diagram of an IEEE fourteen-node system in accordance with a preferred embodiment of the present invention. As shown in FIG. 2, assuming that the units G1, G2, G3 and G4 are thermal power units and G5 is a wind power unit, the coal consumption of power generation is 290G according to the thermal power standard, and about 2.66kg of carbon dioxide is discharged when 1kg of standard coal is combusted. When the minimum time interval of the clear electricity quantity, the scheduling plan compilation and the intelligent electric energy meter information acquisition according to the current electric power market is 15 minutes for cloud computing, the time interval t is integral multiple of 15 minutes, and the power grid load flow distribution of t/15 times needs to be computed according to the data acquisition frequency in the time interval t. Compared with the prior art that the time period t is a special value of 1 year when the average emission factor of the regional or provincial power grid is calculated, the preferred embodiment can take the year, month, day and minute of the time period t according to the requirement, so that the calculation accuracy of the power supply calculation factor is improved.
In step 102, the electric quantity and the carbon emission quantity of the power system nodes determined based on the space scale in the time period t are calculated according to the power flow distribution.
Preferably, calculating the electric quantity and the carbon emission quantity of the power system node determined based on the spatial scale in the time period t according to the power flow distribution comprises the following steps:
and determining nodes of the power system based on the space scale, wherein when the space scale is the minimum, the nodes of the power system are buses and transformers, and when the space scale is not the minimum, the nodes are determined according to the regulation and control jurisdiction range of the power grid.
In one embodiment, when the space scale is not the minimum, determining the node according to the power grid regulation jurisdiction may be to mark counties, cities, provinces and regions divided in the power grid regulation jurisdiction as power system nodes. The average emission factor of the regional and provincial grids is a special spatial scale, namely the node is the regional grid or the provincial grid. In the embodiment shown in fig. 2, the minimum spatial dimension is taken, that is, the power system computing node is taken as the power system node.
And calculating the electric quantity injected into each power system node in the time period t according to the power flow distribution, wherein the branch network loss electric quantity in the electric energy transmission process is reduced to the receiving end node, and the power flow distribution comprises the active power and the power flow direction of each branch in the power grid.
In the embodiment shown in fig. 2, based on the t/15 load flow calculation results, the electric quantity transmitted through each branch in the t time period is calculated in an accumulated manner, and then the electric quantity injected into each node is calculated in an accumulated manner, wherein the branch network loss electric quantity calculation follows the principle of who uses and undertakes, that is, indirect carbon emission generated by network loss in the electric energy transmission process is reduced to the receiving end node.
And calculating the power supply emission factor of each source side unit according to the generated energy of the source side unit in the power grid and the carbon emission generated by power generation.
The power supply emission factor of the source side unit is equal to the carbon emission generated by the generator divided by the corresponding generated energy, the type of the source side unit comprises thermal power, a combustion engine, hydroelectric power, a virtual machine, a phase modulator, nuclear power, a pumping storage, wind power and photovoltaic power, wherein the thermal power unit and the combustion engine have carbon emission, other units have no carbon emission and are collectively called as clean energy units, and the power supply emission factor of the clean energy units is 0. Therefore, in the embodiment shown in fig. 2, the power emission factor of the four thermal power unit nodes is 0.7714 kgCO 2 /kWh。
And calculating the carbon emission amount transferred to each power system node in the time period t according to the power source emission factor, the branch active power and the power flow direction based on a proportion sharing principle.
Due to the non-selectivity of the power flow distribution of the power system, the outgoing power at the same node has a component of each incoming power in any branch, and the proportion sharing principle is followed, so that the grid emission factor of all outgoing branches of the node is equal to the grid emission factor of the node.
Fig. 3 is a schematic flow diagram of power flow to a power system node according to a preferred embodiment of the invention. As shown in fig. 3, the flow direction of the power system node n is similar to the pool principle. Active power flows into a node n through a branch 1 and a branch 2, and flows out through a branch 3, a branch 4 and a branch 5 after the mixing of the node n according to the similar pool principle.
The sum of the powers flowing into node n is equal to the sum of the powers flowing out of node, as shown in equation (1):
Figure DEST_PATH_IMAGE024
(1)
the power composition of branch 3 is shown in formula (2) and formula (3):
Figure DEST_PATH_IMAGE025
(2)
Figure DEST_PATH_IMAGE026
(3)
in the formula:
P 1 、P 2 、P 3 、P 4 、P 5 -the active power, MW, of each branch;
P 3,1 、P 3,2 the power components supplied by branch 1 and branch 2 to branch 3, respectively, i.e.
Figure DEST_PATH_IMAGE027
,MW。
The carbon emission of the outflow branch is shown in formula (4) and formula (5):
Figure DEST_PATH_IMAGE028
(4)
Figure DEST_PATH_IMAGE029
(5)
in the formula:
Figure DEST_PATH_IMAGE030
indirect carbon emissions, tCO, due to the supply of electrical energy to branches 1, 2, 3, 4, 5, respectively 2
Based on the calculation formula, under the condition that the power source emission factor at the source side, the branch active power and the power flow direction are known, the carbon emission transferred to each power system node in the time period t can be calculated.
In step 103, calculating a node initial power supply emission factor of the power system node in the time period t without considering green electricity according to the electric quantity and the carbon emission.
Preferably, a node initial power supply emission factor of the power system node in the time period t without considering green electricity is calculated according to the electric quantity and the carbon emission, wherein the calculation formula of the node initial power supply emission factor is as follows:
Figure 379616DEST_PATH_IMAGE006
Figure 819431DEST_PATH_IMAGE007
-initial power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure 494126DEST_PATH_IMAGE017
-the amount of electrical energy, MWh, flowing into node n within time period t;
Figure DEST_PATH_IMAGE031
-indirect carbon emission, tCO, transferred to node n during time period t 2
Figure 735620DEST_PATH_IMAGE019
-a time function of indirect carbon emissions transferred to node n;
Figure 837569DEST_PATH_IMAGE020
-a function of time of the amount of power flowing into node n.
In the embodiment shown in fig. 2, the power supply emission factor of 14 nodes is shown in table 1 when the influence of green electricity transaction is not considered.
TABLE 1 Power supply emissions factor for each node of the IEEE14 System (green electricity trade not considered) (kgCO) 2 /kWh)
Node point Power supply discharge factor Node point Power supply discharge factor
1 0.7714 8 0
2 0.7714 9 0.4170
3 0.7714 10 0.5819
4 0.7714 11 0.7714
5 0.7714 12 0.7714
6 0.7714 13 0.7714
7 0.2961 14 0.5549
And step 104, when the power consumers purchasing green power exist in the power grid, calculating the final power supply emission factor of the node according to the set correction model.
When the power consumers purchasing green power exist in the power grid, calculating a final power supply emission factor of the node according to the set correction model, wherein the final power supply emission factor comprises the following steps:
and calculating a final power supply emission factor when the set correction model distributes the carbon emission to the nodes of the power system in proportion, wherein the calculation formula of the final power supply emission factor is as follows:
Figure DEST_PATH_IMAGE032
Figure DEST_PATH_IMAGE033
-final power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure DEST_PATH_IMAGE034
-the amount of indirect carbon emissions, tCO, transferred to node n during time period t, irrespective of green electricity trade 2 ;
J-the total number of users of the power users who purchase green electricity in the time period t;
n is the total number of nodes of the power system;
Figure DEST_PATH_IMAGE035
-node initial power supply emission factor, kgCO, of node m supplying power to power consumer j purchasing green power within time period t 2 /kWh;
Figure DEST_PATH_IMAGE036
The green electricity quantity, MWh, purchased by the power consumer who purchases green electricity in the time period t.
In the embodiment shown in fig. 2, the principle of "uniqueness of green power environment attribute" is followed, the green power consumer calculates the green power consumer-level emission factor after deducting the indirect carbon emission corresponding to the green power, so that the resulting unbalanced carbon emission of the whole network is distributed by the nodes of the whole network in proportion or in a natural distribution manner according to a load flow, and the node power supply emission factor is recalculated according to the carbon emission of the new distributed power system nodes. The green electricity user-level emission factor refers to the average emission factor of the power grid of power users purchasing green electricity, and if the green electricity users all use the green electricity, the power supply emission factor of the green electricity users in a time period t is 0; if the green electricity user part uses green electricity, the power supply emission factor in the t period of the user is reduced. When the set correction model proportionally distributes the carbon emission amount for the nodes of the power system, the unbalanced carbon emission amount is proportionally distributed by all the nodes except for the power users purchasing green electricity according to the injected electric quantity in the t time period.
When the set correction model naturally distributes carbon emission for the nodes of the power system according to the load flow, a final power supply emission factor is calculated, and the final power supply emission factor comprises the following steps:
removing the green electricity consumption of an electric power user purchasing green electricity in the power grid and the green electricity generation amount corresponding to a green electricity supplier of the electric power user, and re-determining a new electric power system node and an operation state based on a spatial scale;
determining the load flow distribution of the power grid in a time period t through load flow calculation based on the power grid topological structure and power grid scheduling operation data;
calculating the electric quantity and carbon emission of the new power system node in a time period t according to the power flow distribution;
and calculating a final power supply emission factor of the new power system node in the time period t without considering green electricity according to the electric quantity and the carbon emission.
In the embodiment shown in fig. 2, when the modified model is set, the carbon rows are naturally distributed to the nodes of the power system according to the power flowsDuring the discharging, after the green electricity power quantity on the internet and the green electricity power consumption on the load side where the power consumer purchasing the green electricity are located need to be deducted on the source side respectively, new power grid operation data are formed, the electric quantity and the carbon emission quantity of the new power system node in the time period t are recalculated based on the new power flow distribution situation, and the final power supply emission factor of the new power system node in the time period t without considering the green electricity is calculated according to the electric quantity and the carbon emission quantity. Thus, assuming that the load L3 at node 3 buys 10MW of green power to the unit G5, the load node L3 green power user level emission factor is 0.6895kgCO 2 The power supply emission factors of the nodes which are proportionally distributed and naturally distributed according to the power flow are corrected by the model shown in the table 2.
Table 2 power supply emission factor (considering green electricity trade) of each node of the ieee14 system (kgCO) 2 /kWh)
Figure DEST_PATH_IMAGE038
Comparing the table 1 and the table 2, it can be known that the grid-connected node of the generator set and the node power supply emission factor of the power supply node of the grid-connected node are the same as the emission factor of the generator set, and the node grid emission factor close to the wind turbine generator set is smaller, which accords with the actual operation condition. The influence of the green electricity transaction and the node power supply emission factor correction mode on the node power supply emission factor is obvious.
In step 105, when the power consumer purchasing green power does not exist in the power grid, the node initial power supply emission factor is the node final power supply emission factor.
Preferably, the method further comprises:
when the green electricity purchasing power consumers exist, calculating green electricity user-level emission factors according to the node initial power supply emission factors, green electricity purchasing quantity and electricity consumption quantity of the power consumers purchasing green electricity, wherein the green electricity user-level emission factors are calculated according to the following formula:
Figure DEST_PATH_IMAGE039
Figure DEST_PATH_IMAGE040
-emission factor, kgCO, of power consumer j buying green electricity during time period t 2 /kWh;
Figure DEST_PATH_IMAGE041
-initial power supply emission factor, kgCO, of node m supplying power to consumer j purchasing green power during time period t 2 /kWh;
Figure DEST_PATH_IMAGE042
-the total electricity consumption, MWh, of the electricity consumer j who purchased green electricity within time period t;
Figure 488648DEST_PATH_IMAGE036
the green electricity quantity, MWh, purchased by the power consumer j who purchases green electricity in the time period t.
The node power supply emission factor calculation method based on the power flow distribution according to the preferred embodiment makes full use of power grid scheduling data and a power grid topological structure, can realize power grid power supply emission factor calculation of multiple-hour (year, month, day, hour and minute) and empty (area, provincial level, city, county, transformer power supply area and bus power supply area) scales as required, and provides power grid power supply emission factors with finer granularity for different electricity purchasing main bodies; moreover, the power grid dispatching data are real-time collected data, the accuracy is high, and the accuracy of the power grid average emission factor based on the power grid dispatching data is also high; and finally, the node power supply emission factor obtained through calculation can be used for calculating the carbon emission according to the electricity utilization information, so that powerful technical support is provided for real-time measurement of the carbon emission of the electricity utilization main body.
Fig. 4 is a schematic structural diagram of a node power supply emission factor calculation system based on power flow distribution according to a preferred embodiment of the present invention. As shown in fig. 4, the node power supply emission factor calculation system based on power flow distribution according to the preferred embodiment includes:
the first calculation module 401 is configured to determine, based on the power grid topology and the power grid scheduling operation data, a power flow distribution of the power grid in a time period t through power flow calculation;
a second calculating module 402, configured to calculate, according to the power flow distribution, electric quantity and carbon emission of the power system node determined based on the spatial scale in a time period t;
a third calculating module 403, configured to calculate, according to the electric quantity and the carbon emission, a node initial power supply emission factor of the power system node in the time period t without considering green electricity;
a first result module 404, configured to calculate a node final power supply emission factor according to the set correction model when there is a power consumer purchasing green power in the power grid; and
and a second result module 405, configured to, when there is no power consumer purchasing green electricity in the power grid, obtain the node initial power supply emission factor and the node final power supply emission factor.
Preferably, the system further includes a third result module 406, configured to calculate a green electricity consumer-level emission factor according to the node initial power supply emission factor, a green electricity purchase quantity of an electricity consumer purchasing green electricity, and a power consumption quantity, when there is an electricity consumer purchasing green electricity, where the green electricity consumer-level emission factor is calculated by:
Figure 701455DEST_PATH_IMAGE039
Figure 797456DEST_PATH_IMAGE040
-emission factor, kgCO, of power consumer j buying green electricity during time period t 2 /kWh;
Figure 70305DEST_PATH_IMAGE041
-initial power supply emission factor, kgCO, of node m supplying power to consumer j purchasing green power during time period t 2 /kWh;
Figure 64806DEST_PATH_IMAGE042
-the total electricity consumption, MWh, of the electricity consumer j who purchased green electricity within time period t;
Figure 97615DEST_PATH_IMAGE036
the green electricity quantity, MWh, purchased by the power consumer j who purchases green electricity in the time period t.
Preferably, the second calculation module 402 comprises:
the node confirmation unit 421 is configured to determine a node of the power system based on a spatial scale, where the node of the power system is a bus or a transformer when the spatial scale is the minimum, and the node is determined according to a power grid regulation and control jurisdiction range when the spatial scale is not the minimum;
the first calculating unit 422 is configured to calculate, according to the power flow distribution, electric quantity injected into each power system node in a time period t, where a branch network loss electric quantity in an electric energy transmission process is reduced to a receiving end node, and the power flow distribution includes active power and a power flow direction of each branch in a power grid;
a second calculating unit 423 for calculating a power supply emission factor of each source-side unit according to the power generation amount of the source-side unit in the power grid and the carbon emission amount generated by power generation;
and a third calculating unit 424, configured to calculate, based on a proportional sharing principle, the carbon emission amount transferred to each power system node in the time period t according to the power source emission factor, the branch active power and the power flow direction.
Preferably, the third calculating module 403 calculates a node initial power supply emission factor of the power system node in the time period t without considering green electricity according to the electric quantity and the carbon emission, wherein the node initial power supply emission factor is calculated by the following formula:
Figure 533276DEST_PATH_IMAGE006
Figure 695136DEST_PATH_IMAGE007
-initial power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure DEST_PATH_IMAGE043
-the amount of electrical energy, MWh, flowing into node n within time period t;
Figure DEST_PATH_IMAGE044
indirect carbon emissions, tCO, transferred to node n during time t 2
Figure DEST_PATH_IMAGE045
-a time function of indirect carbon emissions transferred to node n;
Figure DEST_PATH_IMAGE046
-a function of time of the amount of power flowing into node n.
Preferably, the first result module 404 includes:
a first correcting unit 441, configured to calculate a final power supply emission factor when the set correction model proportionally allocates carbon emission for the power system node, where the final power supply emission factor is calculated by:
Figure 157295DEST_PATH_IMAGE012
Figure 197057DEST_PATH_IMAGE033
-final power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure 487224DEST_PATH_IMAGE044
-the amount of indirect carbon emissions, tCO, transferred to node n during time period t, irrespective of green electricity trade 2 ;
J-the total number of users of power users who purchase green electricity in the time period t;
n is the total number of nodes of the power system;
Figure 616723DEST_PATH_IMAGE041
-node initial power supply emission factor, kgCO, of node m supplying power to power consumer j purchasing green power for a period t 2 /kWh;
Figure 320237DEST_PATH_IMAGE036
The green electricity quantity, MWh, purchased by the power consumer who purchases green electricity in the time period t;
a second correcting unit 442, configured to calculate a final power supply emission factor when the set correction model naturally allocates carbon emission to the power system node according to the power flow, where the final power supply emission factor includes:
removing the green electricity consumption of an electric power user purchasing green electricity in the power grid and the green electricity generation amount corresponding to a green electricity supplier of the electric power user, and re-determining a new electric power system node and an operation state based on a spatial scale;
determining the load flow distribution of the power grid in a time period t through load flow calculation based on the power grid topological structure and the power grid scheduling operation data;
calculating the electric quantity and the carbon emission of the new power system node in a time period t according to the power flow distribution;
and calculating a final power supply emission factor of the new power system node in the time period t when the green electricity is not considered according to the electric quantity and the carbon emission.
The node power supply emission factor calculation system based on load flow distribution according to the preferred embodiment utilizes the power generation enterprise operation data, the power grid scheduling data and the power grid topology structure to realize the steps of calculating the node power supply emission factor of the power system, which are the same as the steps adopted by the node power supply emission factor calculation method based on load flow distribution according to the present invention, and the technical effects are also the same, and are not described herein again.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ means, component, etc ]" are to be interpreted openly as referring to at least one instance of said means, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (10)

1. A node power supply emission factor calculation method based on power flow distribution is characterized by comprising the following steps:
determining the load flow distribution of the power grid in a time period t through load flow calculation based on the power grid topological structure and power grid scheduling operation data;
calculating the electric quantity and the carbon emission of the power system node determined based on the space scale in a time period t according to the power flow distribution;
calculating a node initial power supply emission factor of the power system node in the time period t when green electricity is not considered according to the electric quantity and the carbon emission;
when power consumers purchasing green power exist in the power grid, calculating a final power supply emission factor of the node according to the set correction model;
when no power consumer purchasing green electricity exists in the power grid, the node initial power supply emission factor is the node final power supply emission factor.
2. The method of claim 1, further comprising:
when the power consumer purchasing the green power exists, calculating a green power consumer level emission factor according to the node initial power supply emission factor, the green power purchase amount and the power consumption amount of the power consumer purchasing the green power, wherein the calculation formula of the green power consumer level emission factor is as follows:
Figure 546353DEST_PATH_IMAGE001
Figure DEST_PATH_IMAGE002
-emission factor, kgCO, of power consumer j purchasing green electricity during time period t 2 /kWh;
Figure 525810DEST_PATH_IMAGE003
-initial power supply emission factor, kgCO, of node m supplying power to consumer j purchasing green power during time period t 2 /kWh;
Figure DEST_PATH_IMAGE004
-the total electricity consumption, MWh, of the electricity consumer j who purchased green electricity within time period t;
Figure 75521DEST_PATH_IMAGE005
the green electricity quantity, MWh, purchased by the power consumer j who purchased green electricity in the time period t.
3. The method of claim 1, wherein calculating power and carbon emissions for a power system node over a time period t determined based on spatial dimensions from the power flow distribution comprises:
determining nodes of the power system based on the space scale, wherein when the space scale is the minimum, the nodes of the power system are buses and transformers, and when the space scale is not the minimum, the nodes are determined according to the regulation and control jurisdiction range of a power grid;
calculating the electric quantity injected into each power system node in a time period t according to the power flow distribution, wherein the branch network loss electric quantity in the electric energy transmission process is reduced to a receiving end node, and the power flow distribution comprises the active power and the power flow direction of each branch in the power grid;
calculating a power supply emission factor of each source side unit according to the generated energy of the source side unit in the power grid and the carbon emission generated by power generation;
and calculating the carbon emission amount transferred to each power system node in the time period t according to the power source emission factor, the branch active power and the power flow direction based on a proportion sharing principle.
4. The method according to claim 1, wherein a node initial power supply emission factor of the power system node in the time period t without considering green electricity is calculated according to the electric quantity and the carbon emission, wherein the node initial power supply emission factor is calculated by the formula:
Figure DEST_PATH_IMAGE006
Figure DEST_PATH_IMAGE007
-initial power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure DEST_PATH_IMAGE008
-the amount of power flowing into node n, MWh, during time period t;
Figure 595364DEST_PATH_IMAGE009
-transfer within a time period tIndirect carbon emission to node n, tCO 2
Figure DEST_PATH_IMAGE010
-a time function of indirect carbon emissions transferred to node n;
Figure 737632DEST_PATH_IMAGE011
-a function of time of the amount of power flowing into node n.
5. The method of claim 4, wherein when there is a power consumer purchasing green electricity in the grid, calculating a node final power supply emission factor according to the set modified model, comprises:
and calculating a final power supply emission factor when the set correction model distributes the carbon emission to the nodes of the power system in proportion, wherein the calculation formula of the final power supply emission factor is as follows:
Figure DEST_PATH_IMAGE012
Figure 123876DEST_PATH_IMAGE013
-final power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure 984385DEST_PATH_IMAGE009
-the amount of indirect carbon emissions, tCO, transferred to node n during time period t, irrespective of green electricity trade 2 ;
J-the total number of users of power users who purchase green electricity in the time period t;
n is the total number of nodes of the power system;
Figure 980023DEST_PATH_IMAGE003
-node initial power supply emission factor, kgCO, of node m supplying power to power consumer j purchasing green power for a period t 2 /kWh;
Figure 914481DEST_PATH_IMAGE005
The green electricity quantity, MWh, purchased by the power consumer who purchases green electricity within the time period t;
and when the set correction model naturally distributes carbon emission to the nodes of the power system according to the load flow, calculating a final power supply emission factor, which comprises the following steps:
removing the green electricity consumption of power consumers who purchase green electricity in the power grid and the green electricity generation amount corresponding to green electricity suppliers of the power consumers, and then re-determining new power system nodes and operation states based on the space scale;
determining the load flow distribution of the power grid in a time period t through load flow calculation based on the power grid topological structure and power grid scheduling operation data;
calculating the electric quantity and carbon emission of the new power system node in a time period t according to the power flow distribution;
and calculating a final power supply emission factor of the new power system node in the time period t without considering green electricity according to the electric quantity and the carbon emission.
6. A system for calculating a node power supply emission factor based on power flow distribution is characterized by comprising:
the first calculation module is used for determining the power flow distribution of the power grid in a time period t through power flow calculation based on the power grid topological structure and power grid scheduling operation data;
the second calculation module is used for calculating the electric quantity and the carbon emission of the power system node determined based on the space scale in a time period t according to the power flow distribution;
the third calculation module is used for calculating a node initial power supply emission factor of the power system node in the time period t without considering green electricity according to the electric quantity and the carbon emission;
the first result module is used for calculating a final power supply emission factor of the node according to the set correction model when a power consumer purchasing green power exists in the power grid; and
and the second result module is used for determining the initial power supply emission factor of the node as the final power supply emission factor of the node when no power consumer purchasing green power exists in the power grid.
7. The system according to claim 6, further comprising a third result module, configured to calculate a green electricity consumer-level emission factor according to the node initial power supply emission factor, a green electricity purchase amount of an electricity consumer purchasing green electricity, and a power consumption amount when there is an electricity consumer purchasing green electricity, wherein the green electricity consumer-level emission factor is calculated by a formula:
Figure DEST_PATH_IMAGE014
Figure 173424DEST_PATH_IMAGE002
-emission factor, kgCO, of power consumer j purchasing green electricity during time period t 2 /kWh;
Figure 19764DEST_PATH_IMAGE003
-initial power supply emission factor, kgCO, of node m supplying power to a consumer j purchasing green power during a time period t 2 /kWh;
Figure 225617DEST_PATH_IMAGE004
-the total electricity consumption, MWh, of the electricity consumer j who purchased green electricity within time period t;
Figure 342478DEST_PATH_IMAGE005
-green purchased by a consumer j who purchases green electricity during a time period tElectric power, MWh.
8. The system of claim 6, wherein the second computing module comprises:
the node confirmation unit is used for confirming the nodes of the power system based on the space scale, wherein when the space scale is the minimum, the nodes of the power system are buses and transformers, and when the space scale is not the minimum, the nodes are confirmed according to the regulation and control jurisdiction range of a power grid;
the first calculation unit is used for calculating the electric quantity injected into each power system node in a time period t according to the power flow distribution, wherein the branch network loss electric quantity in the electric energy transmission process is reduced to a receiving end node, and the power flow distribution comprises the active power and the power flow direction of each branch in the power grid;
the second calculation unit is used for calculating a power supply emission factor of each source side unit according to the power generation amount of the source side unit in the power grid and the carbon emission amount generated by power generation;
and the third calculating unit is used for calculating the carbon emission amount transferred to each power system node in the time period t according to the power source emission factor, the branch active power and the power flow direction based on a proportion sharing principle.
9. The system of claim 6, wherein a third calculation module calculates a node initial power supply emission factor of the power system node in the time period t without considering green electricity according to the electric quantity and the carbon emission, wherein the node initial power supply emission factor is calculated by a formula:
Figure 241164DEST_PATH_IMAGE015
Figure 341844DEST_PATH_IMAGE007
-initial power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure DEST_PATH_IMAGE016
-the amount of electrical energy, MWh, flowing into node n within time period t;
Figure 679284DEST_PATH_IMAGE017
indirect carbon emissions, tCO, transferred to node n during time t 2
Figure DEST_PATH_IMAGE018
-a time function of indirect carbon emissions transferred to node n;
Figure 89799DEST_PATH_IMAGE019
-a function of time of the amount of power flowing into node n.
10. The system of claim 9, wherein the first result module comprises:
the first correction unit is used for calculating a final power supply emission factor when the set correction model is used for proportionally distributing carbon emission for the nodes of the power system, wherein the calculation formula of the final power supply emission factor is as follows:
Figure DEST_PATH_IMAGE020
Figure 752862DEST_PATH_IMAGE021
-final power supply emission factor, kgCO, of node n within time period t 2 /kWh;
Figure 75259DEST_PATH_IMAGE017
-indirect carbon emissions, tCO, transferred to node n during time period t without regard to green electricity transactions 2 ;
J-the total number of users of power users who purchase green electricity in the time period t;
n is the total number of nodes of the power system;
Figure 622915DEST_PATH_IMAGE003
-node initial power supply emission factor, kgCO, of node m supplying power to power consumer j purchasing green power within time period t 2 /kWh;
Figure DEST_PATH_IMAGE022
The green electricity quantity, MWh, purchased by the power consumer who purchases green electricity within the time period t;
the second correction unit is used for calculating a final power supply emission factor when the set correction model naturally distributes carbon emission for the power system nodes according to the power flow, and comprises the following steps:
removing the green electricity consumption of an electric power user purchasing green electricity in the power grid and the green electricity generation amount corresponding to a green electricity supplier of the electric power user, and re-determining a new electric power system node and an operation state based on a spatial scale;
determining the load flow distribution of the power grid in a time period t through load flow calculation based on the power grid topological structure and power grid scheduling operation data;
calculating the electric quantity and the carbon emission of the new power system node in a time period t according to the power flow distribution;
and calculating a final power supply emission factor of the new power system node in the time period t without considering green electricity according to the electric quantity and the carbon emission.
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CN115882456A (en) * 2023-03-03 2023-03-31 浙江浙能能源服务有限公司 Power control method and system based on large-scale power grid tide
CN116628410A (en) * 2023-05-29 2023-08-22 北京西清能源科技有限公司 Regional power system carbon emission accounting method and system
CN116628410B (en) * 2023-05-29 2024-04-02 北京西清能源科技有限公司 Regional power system carbon emission accounting method and system
CN116821621A (en) * 2023-06-28 2023-09-29 南方电网能源发展研究院有限责任公司 Green electricity transaction carbon emission accounting method, green electricity transaction carbon emission accounting device and computer equipment
CN116562512A (en) * 2023-07-11 2023-08-08 国网浙江省电力有限公司宁波供电公司 Carbon diagnosis method, device, equipment and storage medium for electric power system
CN116562512B (en) * 2023-07-11 2023-11-03 国网浙江省电力有限公司宁波供电公司 Carbon diagnosis method, device, equipment and storage medium for electric power system
CN117495216A (en) * 2023-12-29 2024-02-02 国网区块链科技(北京)有限公司 Accounting method, accounting device, electronic equipment and storage medium for electric power carbon emission factor
CN117495216B (en) * 2023-12-29 2024-04-12 国网区块链科技(北京)有限公司 Accounting method, accounting device, electronic equipment and storage medium for electric power carbon emission factor

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