A Method and Device for Measuring the Consumption Volume of Green Electricity Purchased Online by Zero-Carbon Power Users

Abstract

The existing PFT method for applications will not be sufficient to support the measurement of the real-time dynamics of spot green electricity for zero-carbon electricity users in the spot market. The present invention discloses a method and device for measuring the consumption of green electricity purchased online by zero-carbon electricity users. The method includes two aspects: measurement at the main grid level and measurement at the distribution network level. By performing measurements at both the main grid level and the distribution network level and using a power flow tracing method based on power transmission and distribution factors for calculation, the present invention can provide multi-level and high-precision green electricity measurement basis for zero-carbon electricity users with different voltage levels and different load capacities, and fully consider the feasibility and practicality in actual applications.

Description

Technical Field

[0001] The present invention relates to power measurement technologies, and particularly to a method and device for measuring the consumption volume of green electricity purchased online by zero-carbon power users. Background Art

[0002] Currently, zero-carbon power users mainly rely on their own 100% green electricity consumption certification to achieve zero-carbon certification. There are mainly two types of certification methods: one is self-built green power sources such as rooftop photovoltaics. The consumption volume of this self-produced green electricity can be directly measured by the electricity meters installed by users and then certified; the other is the green electricity purchased by users from the power grid, that is, the green electricity purchased online. This part of the electricity usually cannot be directly distinguished and measured from the electricity purchased from the power grid, and it is necessary to carry out the certification of the green electricity consumption volume. At present, it is still difficult for zero-carbon power users to achieve self-sufficiency in clean energy and complete zero emissions, and they still need to interact with the power grid, generating corresponding power carbon emissions.

[0003] The zero-carbon certification method for zero-carbon power users needs to measure the power carbon emissions of this user. There is a problem in the domestic existing zero-carbon user evaluation system that the carbon emissions of electricity consumption are "unclear". The power carbon emissions of users are calculated according to the annual average carbon emission factor of the region, lacking timeliness, unable to reflect the spatio-temporal differences of carbon emission factors, unable to transmit sufficiently detailed power carbon emission information and real-time green electricity ratio signals to users, and not conducive to the promotion of zero-carbon power users. The existing research mainly focuses on the deficiencies of the current power carbon emission measurement method for users, and measures the power carbon emissions on the user side from the perspective of carbon emission factors. However, the research on combining the actual operation and settlement mechanism of the power market is not deep enough, and it needs to be improved and perfected in terms of engineering practicability. The current green electricity trading mainly targets the medium- and long-term market, that is, the green electricity in the medium- and long-term market can be traced and certified; but in the spot market link, the actual green electricity consumption volume of users cannot be traced and certified after the clearing result. There is an inconsistency in the certification of green electricity consumption between the medium- and long-term market and the spot market.

[0004] One of the difficulties in implementing green power consumption certification in the spot market is how to distinguish green power in the network power flow. After green power is fed into the grid, it is indistinguishable from traditional thermal power, so the spot market cannot accurately measure the actual green power consumption of users. To address the above issues, a practical solution is to use power flow tracing (PFT) technology to allocate the actual green power consumption of users. PFT was initially applied to the allocation of transmission costs and has been practically applied in the power markets of some countries. At the same time, with the continuous development of renewable energy, the application potential of PFT in a power system with a high proportion of renewable energy has also been recognized. Generally speaking, most of the existing methods perform power flow tracing on a simplified power network over a relatively long time scale, and there are mainly the following problems: 1) The simplified power network and DC power flow are more applied at the main grid level and are not suitable for power flow tracing and green power allocation at the distribution network level; 2) Green power flow tracing over a long time scale requires the network to be in a typical operating mode, which does not adapt to the real-time dynamic characteristics of the spot market. Therefore, the existing PFT methods that have been applied will not be sufficient to support the calculation of the real-time dynamic measurement of spot green power for zero-carbon power users in the spot market. Summary of the Invention

[0005] The object of the present invention is to overcome the deficiencies of the above-mentioned existing technologies and provide a method and device for calculating the consumption of online green power by zero-carbon power users, so as to achieve multi-level and high-precision calculation of the real-time consumption of green power by zero-carbon power users and provide technical support for the calculation of the real-time content of green power of users.

[0006] To achieve the above object, the technical solution of the present invention is:

[0007] In the first aspect, the present invention provides a method for calculating the consumption of online green power by zero-carbon power users, including:

[0008] Calculation at the main grid level, and the calculation at the main grid level includes:

[0009] S11. Obtain the clearing results of each period in the real-time spot market during the operating day and conduct power flow calculation;

[0010] S12. According to the collected power flow information, use the power flow tracing method based on the electric power transmission distribution factor to calculate the real-time green power distribution factor of each node in each period;

[0011] S13. Calculate the power source distribution matrix q of each node, that is, the proportion of the power provided by the power generation node j in the power consumption of node i;

[0012] S14. Calculate the real-time content of spot green power at the main grid node of zero-carbon power users;

[0013] Calculation at the distribution network level, and the calculation at the distribution network level includes:

[0014] S15. Take the nodes at the main grid level as the superior nodes. For the distribution network connected to the superior nodes, the superior nodes serve as the boundary nodes of the distribution network, and the injection power of these nodes is used as the power supply power at the distribution network level.

[0015] S16. According to the load of each node in the distribution network, the injection power of the boundary nodes, and the output of distributed power sources at each time period during real-time operation, use the power flow tracing method based on the power transfer distribution factor to calculate the power flow distribution of the distribution network.

[0016] S17. Repeat steps S12 - S16 to measure the real-time green power distribution factor of each node in the distribution network and the real-time content of spot green power at the nodes where zero-carbon power users are located.

[0017] In the second aspect, the present invention provides a device for measuring the consumption volume of green power purchased online by zero-carbon power users, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above method are implemented.

[0018] In the third aspect, the present invention provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0019] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0020] By measuring at both the main grid level and the distribution network level and using the power flow tracing method based on the power transfer distribution factor for calculation, the present invention can provide multi-level and high-precision green power measurement basis for zero-carbon power users with different voltage levels and different load capacities, fully considering the feasibility and practicality in actual applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a technical flow chart of the method for measuring the consumption volume of green power purchased online by zero-carbon power users provided in Embodiment 1 of the present invention.

[0022] Figure 2 It is an overall framework diagram for zero-carbon power users to participate in market unified settlement;

[0023] Figure 3 It is a composition schematic diagram of the device for measuring the consumption volume of green power purchased online by zero-carbon power users provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] The technical solutions of the present invention will be further described below with reference to the drawings and embodiments.

[0025] Embodiment 1:

[0026] Refer toFigure 1 As shown in Figure 1 , the method for calculating the consumption volume of green electricity purchased online by zero-carbon electricity users provided in this embodiment mainly includes the following steps:

[0027] Calculation at the main grid level, and the calculation at the main grid level includes:

[0028] S11. Obtain the clearing results of the 96 time periods in the real-time spot market during the operation day (including the power generation and load conditions of each node, and the line injection and outflow power of each node under the natural distribution of system power flow), and carry out power flow calculation;

[0029] S12. According to the collected power flow information, use the power flow tracing method based on the power transmission distribution factor to calculate the real-time green electricity distribution factor of each node at each time period;

[0030] S13. Calculate the power source distribution matrix q of each node, that is, the proportion of the electricity provided by the power generation node j in the electricity consumption of node i;

[0031] S14. Calculate the real-time content of spot green electricity at the main grid nodes of zero-carbon electricity users;

[0032] Calculation at the distribution network level, and the calculation at the distribution network level includes:

[0033] S15. Take the nodes at the main grid level as the upper-level nodes. For the distribution network connected to the upper-level nodes, the upper-level nodes are used as the boundary nodes of the distribution network, and the injection power of this node is used as the power source power at the distribution network level;

[0034] S16. According to the load of each node in the distribution network, the injection power of the boundary node, and the output of distributed power sources at each time period of real-time operation, use the power flow tracing method based on the power transmission distribution factor to calculate the power flow distribution of the distribution network;

[0035] S17. Repeat steps S12 - S16 of the calculation at the main grid level to calculate the real-time green electricity distribution factor of each node in the distribution network and the real-time content of spot green electricity at the node where the zero-carbon electricity user is located.

[0036] In this way, by performing calculations at both the main grid level and the distribution network level, and using the power flow tracing method based on the power transmission distribution factor for calculation, it can provide multi-level and high-precision green electricity calculation basis for zero-carbon electricity users with different voltage levels and different load capacities, and fully consider the feasibility and practicality in actual applications.

[0037] In a specific embodiment, the calculation model of the power flow tracing method based on the power transmission distribution factor is as follows:

[0038] The active power flow of the power system satisfies Kirchhoff's current law, and the power flow conservation through node n is:

[0039]

[0040] In the formula, and are respectively the injection power and the outflow power of the non-line of node n; and are respectively the line injection power and the line outflow power of node n; and there are:

[0041]

[0042]

[0043] In the formula, I n , X n are respectively the injection power and the outflow power outside the region.

[0044] For a large-scale power system, the injection power usually already includes several components. Therefore, an in-zone coefficient matrix is introduced to associate the injection power at node n with a set of components α (such as {1, 2, 3, 4…n, In1, In2,…}, the numbers represent nodes, I n represents the source of the injection power outside the zone):

[0045]

[0046] After considering the partition coefficient, Equation (1-1) can be rewritten as:

[0047]

[0048] Considering the PSP principle and combining the outflow power, it can be rewritten in the following matrix form:

[0049]

[0050] In the formula, q is the power source distribution matrix of each node; D is the line injection power proportion distribution matrix of each node; P in is the non-line injection power (including the injection power of local generators and the injection power of the external power grid); F is the total injection power of the node.

[0051] Through the above method, it is possible to provide a multi-level and high-precision green power measurement basis for zero-carbon power users with different voltage levels and different load capacities, and fully consider the feasibility and practicality in actual applications.

[0052] In a specific embodiment, the above step S12 includes: First, create a partition coefficient matrix according to the source composition of the node power supply and formulas (2) and (4) Create a proportion distribution matrix D of line injection power for each node according to the line injection power of the nodes; create a vector F of total injection power for the nodes according to the total injection power of the nodes; create a vector P of non-line injection power for the nodes according to the non-line injection power of the nodes in Specifically, the total injection power includes line injection, out-of-region power source injection and node generator injection power, and the non-line injection power includes out-of-region power source injection and node generator injection power

[0053] In a specific embodiment, in step S14, the calculation formula for the real-time content of spot green power at the main network nodes of zero-carbon power users is as follows:

[0054]

[0055] In the formula, is the real-time consumption of spot green power of zero-carbon power user i at time period T of the operating day; is the sub-period metered electricity of zero-carbon power user i at time period T of the operating day; is the proportion of real-time green power provided by green power generation unit j to zero-carbon power user i at time period T of the operating day.

[0056] Considering the different load capacities of zero-carbon power users, it is difficult to perform multi-level power flow tracking for small-capacity users at the main and distribution levels and it is easy to cause large errors. Therefore, in step S11, it also includes: defining the access capacity for zero-carbon power users to participate in multi-level green power flow tracking at the main and distribution levels.

[0057] For zero-carbon power users with a capacity smaller than this access value, the grid side does not provide a more refined calculation service for the real-time content of multi-level green power consumption at the main and distribution levels. Such zero-carbon power users calculate their consumption according to the real-time green power distribution factor of the 220 kV main network node where they are located; while for zero-carbon users with a capacity larger than the access value, the grid side can provide a more refined multi-level power flow tracking service at the distribution network level (10 - 110 kV) to further calculate the green power consumption of such users. For zero-carbon users who do not meet the access requirements, they can be aggregated by the zero-carbon load integrator of the 220 kV main network node where the zero-carbon users are located and then participate in the multi-level power flow tracking calculation uniformly. Specifically, the specific process of defining the access capacity for zero-carbon power users to participate in multi-level green power flow tracking is as follows:

[0058] 1) Obtain the day-ahead electricity energy clearing results of the spot market. Determine the unit commitment of the 96 time periods ahead according to the SCUC model and perform AC power flow verification. Let the nodes where zero-carbon power users are located be {n1, n2,..., n s}, and obtain the dynamic green power distribution factors {l1, l2,..., l s}, and calculate the average values {a1, a2,..., a s} of the green power distribution factors for two time periods. Then, for the main grid node n s in the region on the operation day, the capacity calculation formula for zero-carbon power users participating in the real-time measurement of green power consumption content is: s

[0059] Q s = a s × L s,max (8)

[0060] In the formula, Q s is the capacity of zero-carbon power users on the main grid node n s participating in the real-time measurement of green power consumption content on the operation day; a s is the average green power distribution factor of the main grid node n s on the operation day; L s,max is the installed capacity of zero-carbon power users on the main grid node n s .

[0061] 2) Calculate the dynamic access capacity of zero-carbon power users in the region participating in the multi-level green power flow tracking of the main and distribution networks during the actual operation day. The formula is:

[0062]

[0063] In the formula, Q req is the access capacity of zero-carbon power users participating in the real-time measurement of multi-level green power consumption content of the main and distribution networks during the operation day. Mathematically, it is equal to the truncated mean of the standard deviation of the capacities of all zero-carbon power users in the region participating in the real-time measurement of green power consumption content, where the number of truncated standard deviations n = 1; S′ is the set of zero-carbon power user nodes remaining after removing the extreme values by truncated standard deviation; K s is the number of zero-carbon power user nodes after removing the extreme values by truncated standard deviation.

[0064] In the spot market environment, the green power flow tracking results of the spot market with full power clearance are used as the real-time green power content ratio of zero-carbon power users during the operation day. For zero-carbon power users meeting the dynamic access capacity index, the multi-level power flow tracking of the main and distribution network nodes above 10 kV where they are located is carried out to obtain the real-time green power content ratio of each time period during the operation day, which is used as the basis for calculating the actual green power consumption of the user on that day; for zero-carbon power users not meeting the dynamic access capacity index, only the green power content ratio of each time period of the 220 kV main grid node where they are located is calculated as the basis for calculating the actual green power consumption of the user on that day. Then, the actual green power consumption of each time period of the user building on a certain operation day = the real-time green power content ratio of each time period × the actual power consumption of each time period. The specific calculation formula refers to Equation (7).

[0065] ​Based on the "green power medium- and long-term contract electricity price = electricity energy price + environmental premium" model set by the current green power trading, this paper divides the medium- and long-term settlement of zero-carbon users into two parts: electricity energy settlement and environmental benefit deviation settlement. The medium- and long-term market adopts a trading model of difference contracts. To achieve the connection between the spot market and the medium- and long-term market, the spot market settlement of zero-carbon power users is also based on electricity energy settlement and environmental benefit deviation settlement.

[0066] Due to the particularity of zero-carbon power users, it is necessary to use the power flow tracing technology to measure their actual green power consumption in the spot market trading. And the measured actual green power consumption will also affect the results of the green power medium- and long-term trading of zero-carbon power users. Since the results of green power flow tracing are related not only to the actual electricity consumption of the power generation and consumption parties but also to the system network topology, a certain compensation needs to be given to zero-carbon power users when conducting green power deviation settlement.

[0067] If a zero-carbon power user participates in the green power medium- and long-term trading, it is necessary to conduct an assessment of the environmental benefit deviation and settle according to the assessment results, giving corresponding penalties and compensations: If the actual green power consumption of the zero-carbon power user within the contract period is less than the contract electricity quantity (Q r <Q c ), then the deviation part of the electricity quantity ΔQ (ΔQ = Q c -Q r ) cannot be certified as the green power consumption of this zero-carbon user, and at the same time, a part of the green power trading loss caused by the network topology is compensated to this zero-carbon user. The calculation of the trading compensation cost for the deviation part of the electricity quantity is as follows:

[0068] R 补偿 =(1 - λ)×P 溢 ×ΔQ, ΔQ > 0 (10)

[0069] In the formula, R 补偿 is the trading compensation cost for the deviation part of the electricity quantity; P 溢The green power environmental premium is ΔP; the deviation power quantity of green power consumption is ΔQ; the deviation penalty coefficient is λ, where λ ∈ [0, 1], and the specific value is set by the power market management agency. The larger the deviation penalty coefficient, the greater the loss of zero-carbon power users due to the actual deviation of green power consumption. For zero-carbon power users with different electrical distances of green power participating in the medium- and long-term green power trading, the power market management agency can configure different deviation penalty coefficients for both trading parties to offset part of the impact of the green power sharing ratio caused by the system network topology: (1) When the electrical distance of green power is relatively close, it indicates that the zero-carbon power user has great potential for green power consumption, and a larger λ (tending to 1) can be configured to encourage it to consume green power as much as possible during the period when the green power generation of the power generator is high; (2) When the electrical distance of green power is relatively far, the actual proportion of green power of the zero-carbon power user is relatively low, which means that the zero-carbon power user may not be able to physically consume the green power quantity specified in the medium- and long-term contract due to the blocking constraints of the actual network during the actual operation of the power grid. At this time, the contract is more inclined to a conventional power quantity contract, and a smaller λ (tending to 0) can be configured to avoid large trading losses for users.

[0070] In summary, the main settlement items for the total electricity bill expenditure of zero-carbon power users mainly include: the settlement of electricity energy costs in the spot market, the settlement of the difference in electricity bills for medium- and long-term contracts, and the settlement of environmental benefit deviations. The calculation formula is as follows:

[0071] C 支出 =C 现货 +C 中长期 -R 补偿 (11)

[0072] In the formula, C 支出 is the total electricity bill expenditure of zero-carbon power users participating in the market; C 现货 is the electricity bill expenditure in the spot market; C 中长期 is the electricity bill expenditure in the medium- and long-term market; R 补偿 is the compensation cost for the deviation of green power consumption due to green power tracking when considering zero-carbon power users participating in medium- and long-term green power trading.

[0073] In this way, by introducing the deviation penalty coefficient, the medium- and long-term settlement of zero-carbon users is divided into two parts: electricity energy settlement and environmental benefit deviation settlement, realizing the connection of green power consumption certification for zero-carbon power users participating in the spot market and the medium- and long-term market, conducting unified settlement for zero-carbon power users, effectively guiding both power generation and consumption parties to trade nearby, encouraging zero-carbon power users to concentrate in distributed energy areas, and promoting the local consumption of new energy.

[0074] Example 2:

[0075] Refer to Figure 3As shown in the figure, the zero-carbon power user's online purchase of green power consumption measurement device provided in this embodiment includes a processor 31, a memory 32, and a computer program 33 stored in the memory 32 and executable on the processor 31, such as the zero-carbon power user's online purchase of green power consumption measurement program. When the processor 31 executes the computer program 33, it implements the steps of the above-mentioned Embodiment 1, such as Figure 1 the steps shown.

[0076] Exemplarily, the computer program 33 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 32 and executed by the processor 31 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 33 in the zero-carbon power user's online purchase of green power consumption measurement device.

[0077] The so-called processor 31 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor may also be any conventional processor, etc.

[0078] The memory 32 may be an internal storage element of the zero-carbon power user's online purchase of green power consumption measurement device, such as the hard disk or memory of the zero-carbon power user's online purchase of green power consumption measurement device. The memory 32 may also be an external storage device of the zero-carbon power user's online purchase of green power consumption measurement device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the zero-carbon power user's online purchase of green power consumption measurement device. Further, the memory 32 may also include both the internal storage unit and the external storage device of the zero-carbon power user's online purchase of green power consumption measurement device. The memory 32 is used to store the computer program and other programs and data required by the zero-carbon power user's online purchase of green power consumption measurement device. The memory 32 may also be used to temporarily store data that has been output or will be output.

[0079] Embodiment 3:

[0080] This embodiment provides a computer-readable storage medium storing a computer program, which when executed by a processor, implements the steps of the method described in Embodiment 1.

[0081] The computer-readable medium may be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection portion having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium may even be paper or other suitable medium on which the program can be printed, such as by optically scanning the paper or other medium, followed by editing, interpretation, or otherwise processing as appropriate and then obtaining the program electronically and storing it in a computer memory.

[0082] The above embodiments are only for illustrating the technical concept and features of the present invention, and the purpose is to enable those of ordinary skill in the art to understand the content of the present invention and implement it accordingly. However, the protection scope of the present invention cannot be limited thereby. Any equivalent changes or modifications made based on the essence of the content of the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for calculating the consumption volume of green electricity purchased online by zero-carbon power users, characterized in that, Including: Calculation at the main grid level, where the calculation at the main grid level includes: S11. Obtain the clearing results of each time period in the real-time spot market during the operating day and conduct power flow calculation; S12. According to the collected power flow information, use the power flow tracing method based on the power transfer distribution factor to calculate the real-time green power distribution factor of each node at each time period; S13. Calculate the power source distribution matrix q of each node, that is, the proportion of the power provided by the generating node j in the power consumption of node i; S14. Calculate the real-time content of spot green power at the main grid nodes of zero-carbon power users; And calculation at the distribution network level, where the calculation at the distribution network level includes: S15. Take the nodes at the main grid level as the upper-level nodes. For the distribution network connected to the upper-level nodes, the upper-level nodes are used as the boundary nodes of the distribution network, and the injection power of this node is used as the power source power at the distribution network level; S16. According to the load of each node in the distribution network, the injection power of the boundary node, and the output of distributed power sources at each time period of real-time operation, use the power flow tracing method based on the power transfer distribution factor to calculate the power flow distribution of the distribution network; S17. Repeat steps S12 - S16 to measure the real-time green power distribution factor of each node in the distribution network and the real-time content of spot green power at the node where the zero-carbon power user is located.

2. The method for calculating the consumption volume of green electricity purchased online by zero-carbon electricity users according to claim 1, characterized in that, The calculation model of the power flow tracing method based on the power transfer distribution factor is as follows: The active power flow of the power system satisfies Kirchhoff's current law, so the power flow conservation through node n is: Wherein, and are respectively the injection power and the outflow power of the non-line of node n; and are respectively the line injection power and the line outflow power of node n; and there is: where I n and X n are the injection power and the outflow power outside the region, respectively.

3. The method for measuring the consumption volume of green electricity purchased online by zero-carbon electricity users according to claim 2, wherein, Associate the injection power at node n with a set of components α: n represents a node, and I n represents the power injection source outside the area; After considering the partition coefficient, Equation (1) is rewritten as: Considering the PSP principle and combining the outgoing power, it is rewritten in the following matrix form: Among them, q is the power source distribution matrix of each node; D is the line injection power proportion distribution matrix of each node; F is the total injection power of the node; P in is the non-line injection power.

4. The method for calculating the consumption volume of green electricity purchased online by zero-carbon electricity users as described in claim 3, wherein, The step S12 includes: Create a partition coefficient matrix according to the source composition of the node power supply and formulas (2) and (4). Create a proportional distribution matrix D of the line injection power of each node according to the line injection power of the node; Create a vector F of the total injection power of the node according to the total injection power of the node; Create a non-line injection power vector P of nodes according to the non-line injection power of nodes in .

5. The method for calculating the consumption volume of green electricity purchased online by zero-carbon electricity users according to claim 3, wherein, In step S14, the calculation formula for the real-time content of spot green power at the main grid nodes of zero-carbon power users is: Wherein, is the real-time consumption of spot green electricity of zero-carbon electricity user i during operation day period T; is the time-of-use metered electricity of zero-carbon electricity user i during operation day period T; is the proportion of real-time green electricity provided by green power generator j to zero-carbon electricity user i during operation day period T.

6. The method for calculating the consumption volume of green electricity purchased online by zero-carbon electricity users according to claim 1, characterized in that, In step S11, the clearing results include the power generation and load conditions of each node, as well as the line injection and outgoing power of each node under the natural distribution of the system power flow.

7. The method for calculating the consumption volume of green electricity purchased online by zero-carbon electricity users according to claim 3, characterized in that, In step S12, the total injection power of the node includes line injection, external power grid injection, and node generator injection power; the non-line injection power includes external power grid injection and node local generator injection power outside the region.

8. A device for calculating the consumption volume of green electricity purchased online by zero-carbon power users, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 7.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method as described in any one of claims 1 to 7.

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