Green electricity tracking result determination method, apparatus and device

Abstract

The application relates to a green electricity tracking result determination method, device and equipment, wherein the method comprises the following steps: acquiring the boundary exchange power of each public connection point in a power distribution network in real time; in the case that the running state of the public connection point is determined to be reverse power feeding based on the boundary exchange power, the public connection point is reconstructed as an equivalent load node in the initially generated initial power distribution network topology, and a power distribution network topology is obtained; the power transmission proportion between each power generation node and the equivalent load node in the power distribution network is determined according to the power generation power of each power generation node, the load power of each load node and the power distribution network topology; the contribution power of each power generation node to the virtual load demand is determined according to the virtual load demand and the power transmission proportion; and the green electricity tracking result of the public connection point is determined based on the contribution power of each power generation node to the virtual load demand. In this way, the accuracy of the finally obtained green electricity tracking result can be improved.

Description

Technical Field

[0001] This application relates to the field of power distribution network technology, and in particular to a method, apparatus and equipment for determining green electricity tracking results. Background Technology

[0002] With the large-scale integration of distributed energy resources into the distribution network, the distribution network is transforming from a unidirectional power receiving network into an active network with bidirectional power flow. During peak photovoltaic power generation periods, the power generation within the distribution network may exceed its load, causing power to be fed back to the transmission network through the Point of Common Coupling (PCC). Therefore, accurately quantifying the source and proportion of clean energy in this reverse power flow—i.e., green electricity—is crucial for green electricity trading, carbon emission accounting, and grid dispatch.

[0003] In related technologies, when reverse power flow occurs at the point of common junction (PCG), i.e., power backflow, existing green electricity tracking algorithms are typically used to determine the tracking results of green electricity. These results include the source and proportion of green electricity. However, the green electricity tracking algorithms in these technologies cannot guarantee the accuracy of the green electricity tracking results. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, and equipment for determining green electricity tracking results to address the aforementioned technical problems.

[0005] Firstly, this application provides a method for determining green electricity tracking results, the method comprising:

[0006] For each point of common coupling in the distribution network, the boundary switching power of the point of common coupling is acquired in real time, and the operating status of the point of common coupling is determined based on the boundary switching power;

[0007] When the common coupling point is operating in a reverse power feeding state, the common coupling point is reconstructed into an equivalent load node in the pre-generated initial distribution network topology to obtain the distribution network topology; the virtual load demand of the equivalent load node corresponding to the common coupling point is the absolute value of the boundary exchange power.

[0008] The power generation capacity of each generating node and the load capacity of each load node in the distribution network are obtained. Based on the power generation capacity, the load capacity, and the distribution network topology, the power transmission ratio between each generating node and the equivalent load node is determined. The load node includes the equivalent load node.

[0009] The contribution power of each power generation node to the virtual load demand is determined based on the virtual load demand and the power transmission ratio between each power generation node and the equivalent load node.

[0010] Based on the contribution power of each power generation node to the virtual load demand, the green electricity tracking result of the point of common coupling is determined.

[0011] In one embodiment, determining the power transmission ratio between each generating node and its equivalent load node based on the generating capacity, load capacity, and distribution network topology includes:

[0012] Based on the power generation capacity, the load capacity, and the distribution network topology, power flow calculations are performed to obtain the power distribution information set of each branch in the distribution network topology.

[0013] Based on the power distribution information set of each branch, the total inflow power of each node in the distribution network topology is determined; the total inflow power of the equivalent load node is the virtual load demand.

[0014] For each node, the power transmission ratio from the upstream node to the node is determined based on the total inflow power of the node and the outflow power of the adjacent upstream node.

[0015] The power transmission ratio between each power generation node and its equivalent load node is determined based on the power transmission ratio from the upstream node to the node.

[0016] In one embodiment, the power transmission ratio between each generating node and its equivalent load node is determined based on the power transmission ratio from the upstream node to the node, including:

[0017] An upstream distribution matrix is ​​constructed based on the power transmission ratio from upstream nodes to nodes of each node; each first element in the upstream distribution matrix represents the proportion of the total power of the downstream node corresponding to the first element that comes directly from the upstream node corresponding to the first element.

[0018] Based on the upstream distribution matrix, a network-wide source tracing matrix is ​​constructed; each second element in the network-wide source tracing matrix represents the proportion of power consumed per unit of power by the downstream node corresponding to the second element from the upstream node corresponding to the second element.

[0019] Extract the row vectors corresponding to the equivalent load nodes from the network-wide source tracing matrix; each element in the row vector represents the proportion of the total power transmission from the upstream node to the equivalent load node in the corresponding column.

[0020] The element values ​​corresponding to each power generation node in the row vector are determined as the power transmission ratio between each power generation node and the equivalent load node.

[0021] In one embodiment, the power generation nodes include green electricity nodes and non-green electricity nodes; the contribution power of each power generation node to the virtual load demand is determined based on the virtual load demand and the power transmission ratio between each power generation node and the equivalent load node, including:

[0022] From the power transmission ratio between each power generation node and the equivalent load node, the power transmission ratio corresponding to the green electricity node is selected.

[0023] For each green electricity node, the product of the power transmission ratio corresponding to the green electricity node and the virtual load demand is determined as the contribution power of the green electricity node to the virtual load demand.

[0024] In one embodiment, the green electricity tracking result of the point of common coupling is determined based on the contribution power of each generation node to the virtual load demand, including:

[0025] The total green power contribution is determined based on the contribution power of each green power node to the virtual load demand.

[0026] The proportion of green electricity is determined based on the ratio of the total green electricity contribution to the virtual load demand.

[0027] Based on the proportion of green electricity, determine the green electricity tracking results of common connection points.

[0028] In one embodiment, after determining the green electricity tracking result of the common junction point, the method further includes:

[0029] Based on the green electricity tracking results, determine the current green electricity level at the point of common connection;

[0030] The amount of green electricity is accumulated into a preset points buffer pool;

[0031] When the accumulated power in the points buffer pool reaches a preset power threshold, an on-chain asset minting instruction is generated based on the ratio of the accumulated power to the preset power threshold.

[0032] In one embodiment, an on-chain asset minting instruction is generated based on the ratio of accumulated power to a preset power threshold, including:

[0033] The ratio of accumulated power consumption to a preset power consumption threshold is rounded down to obtain the number of integer units that can be processed.

[0034] Generate on-chain asset minting instructions of a corresponding number of times based on the integer unit quantity.

[0035] In one embodiment, after generating the corresponding number of on-chain asset minting instructions, the method further includes:

[0036] The on-chain asset minting instruction is sent to the cross-domain interaction gateway, which then constructs a blockchain transaction based on the instruction, digitally signs the transaction, and broadcasts the signed transaction to the blockchain network. The smart contract in the blockchain network responds to the signed transaction by generating the same number of green electricity certifications as the integer unit quantity.

[0037] Secondly, this application also provides a green electricity tracking result determination device, the device comprising:

[0038] The operation status determination module is used to acquire the boundary switching power of each common connection point in the distribution network in real time, and determine the operation status of the common connection point based on the boundary switching power.

[0039] The distribution network reconfiguration module is used to reconfigure the point of common coupling (PCC) into an equivalent load node in a pre-generated distribution network topology when the PCC is operating in a reverse power feeding state, thus obtaining the distribution network topology. The virtual load demand of the equivalent load node corresponding to the PCC is the absolute value of the boundary exchange power.

[0040] The power transmission ratio determination module is used to obtain the power generation power of each power generation node and the load power of each load node in the distribution network, and determine the power transmission ratio between each power generation node and the equivalent load node based on the power generation power, the load power and the distribution network topology; the load node includes the equivalent load node.

[0041] The contribution power determination module is used to determine the contribution power of each power generation node to the virtual load demand based on the virtual load demand and the power transmission ratio between each power generation node and the equivalent load node.

[0042] The tracking result determination module is used to determine the green electricity tracking result of the point of common coupling based on the contribution power of each power generation node to the virtual load demand.

[0043] Thirdly, this application also provides a computer device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0044] For each point of common coupling in the distribution network, the boundary switching power of the point of common coupling is acquired in real time, and the operating status of the point of common coupling is determined based on the boundary switching power;

[0045] When the common coupling point is operating in a reverse power feeding state, the common coupling point is reconstructed into an equivalent load node in the pre-generated initial distribution network topology to obtain the distribution network topology; the virtual load demand of the equivalent load node corresponding to the common coupling point is the absolute value of the boundary exchange power.

[0046] The power generation capacity of each generating node and the load capacity of each load node in the distribution network are obtained. Based on the power generation capacity, the load capacity, and the distribution network topology, the power transmission ratio between each generating node and the equivalent load node is determined. The load node includes the equivalent load node.

[0047] The contribution power of each power generation node to the virtual load demand is determined based on the virtual load demand and the power transmission ratio between each power generation node and the equivalent load node.

[0048] Based on the contribution power of each power generation node to the virtual load demand, the green electricity tracking result of the point of common coupling is determined.

[0049] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0050] For each point of common coupling in the distribution network, the boundary switching power of the point of common coupling is acquired in real time, and the operating status of the point of common coupling is determined based on the boundary switching power;

[0051] When the common coupling point is operating in a reverse power feeding state, the common coupling point is reconstructed into an equivalent load node in the pre-generated initial distribution network topology to obtain the distribution network topology; the virtual load demand of the equivalent load node corresponding to the common coupling point is the absolute value of the boundary exchange power.

[0052] The power generation capacity of each generating node and the load capacity of each load node in the distribution network are obtained. Based on the power generation capacity, the load capacity, and the distribution network topology, the power transmission ratio between each generating node and the equivalent load node is determined. The load node includes the equivalent load node.

[0053] The contribution power of each power generation node to the virtual load demand is determined based on the virtual load demand and the power transmission ratio between each power generation node and the equivalent load node.

[0054] Based on the contribution power of each power generation node to the virtual load demand, the green electricity tracking result of the point of common coupling is determined.

[0055] Fifthly, this application also provides a computer program product comprising a computer program that, when executed by a processor, performs the following steps:

[0056] For each point of common coupling in the distribution network, the boundary switching power of the point of common coupling is acquired in real time, and the operating status of the point of common coupling is determined based on the boundary switching power;

[0057] When the common coupling point is operating in a reverse power feeding state, the common coupling point is reconstructed into an equivalent load node in the pre-generated initial distribution network topology to obtain the distribution network topology; the virtual load demand of the equivalent load node corresponding to the common coupling point is the absolute value of the boundary exchange power.

[0058] The power generation capacity of each generating node and the load capacity of each load node in the distribution network are obtained. Based on the power generation capacity, the load capacity, and the distribution network topology, the power transmission ratio between each generating node and the equivalent load node is determined. The load node includes the equivalent load node.

[0059] The contribution power of each power generation node to the virtual load demand is determined based on the virtual load demand and the power transmission ratio between each power generation node and the equivalent load node.

[0060] Based on the contribution power of each power generation node to the virtual load demand, the green electricity tracking result of the point of common coupling is determined.

[0061] The aforementioned method, apparatus, and equipment for determining green electricity tracking results acquire the boundary exchange power of each point of common coupling (PCC) in the distribution network in real time, and determine the operating status of the PCC based on the boundary exchange power. When the operating status of the PCC is reverse power feeding, the PCC is reconstructed into an equivalent load node in a pre-generated initial distribution network topology, resulting in the distribution network topology. The virtual load demand of the equivalent load node corresponding to the PCC is the absolute value of the boundary exchange power. The generation power of each generation node and the load power of each load node in the distribution network are acquired, and the power transmission ratio between each generation node and the equivalent load node is determined based on the generation power, load power, and distribution network topology. Load nodes include equivalent load nodes. The contribution power of each generation node to the virtual load demand is determined based on the virtual load demand and the power transmission ratio between each generation node and the equivalent load node. The green electricity tracking result of the PCC is determined based on the contribution power of each generation node to the virtual load demand. This application employs the aforementioned method, which monitors the boundary exchange power of each common coupling point (CCP) in real time. When reverse power feed is detected at a CCP, the CCP is reconstructed as an equivalent load node, and the virtual load demand of the equivalent load node is set to the absolute value of the boundary exchange power. This transforms the reverse power flow scenario, which was originally impossible to perform power flow tracing due to the lack of load definition at the CCP, into a mathematically solvable closed-loop power distribution problem. Furthermore, based on this, the power transmission ratio between each generating node and the equivalent load node is first determined according to the distribution network topology, and then the green electricity tracing result is determined according to the contribution power of each generating node. This enables accurate quantification of the green electricity component in the reverse power feed in reverse power flow scenarios, thereby solving the technical problem in related technologies where the CCP cannot participate in green electricity tracing calculations as an effective load node when reverse power feeds. This improves the accuracy and reliability of the final green electricity tracing result. Attached Figure Description

[0062] Figure 1Flowcharts illustrating the green electricity tracking result determination method provided in some embodiments of this application;

[0063] Figure 2 A flowchart for determining the power delivery ratio is provided for some embodiments of this application;

[0064] Figure 3 A flowchart for determining the power delivery ratio is provided for some embodiments of this application;

[0065] Figure 4 A flowchart for determining the contribution power of green electricity nodes provided for some embodiments of this application;

[0066] Figure 5 A flowchart for determining green electricity tracking results provided in some embodiments of this application;

[0067] Figure 6 A flowchart for generating on-chain asset minting instructions is provided for some embodiments of this application;

[0068] Figure 7 A flowchart for generating on-chain asset minting instructions is provided for other embodiments of this application;

[0069] Figure 8 Structural block diagram of the green electricity tracking result determination device provided in some embodiments of this application;

[0070] Figure 9 This is an internal structural diagram of a computer device provided in some embodiments of this application. Detailed Implementation

[0071] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0072] The green electricity tracking result determination method provided in this application can be applied to the dispatch management system, energy management platform, or edge computing gateway of the distribution network as a core algorithm module for green electricity tracking and carbon emission accounting. For example, the green electricity tracking result determination method provided in this application can be applied to a control terminal with certain computing capabilities in the distribution network, including but not limited to industrial control computers and cloud computing platforms. The control terminal can connect to various electrical nodes in the distribution network through a communication network to obtain real-time power data and topology information of various electrical nodes such as generation nodes, load nodes, and points of common coupling.

[0073] When the control terminal executes the green electricity tracking result determination method provided in this application embodiment, it first acquires the boundary exchange power of each common connection point in the distribution network in real time, and determines the operating status of the common connection point based on the boundary exchange power; then, when the operating status of the common connection point is reverse power feeding, the common connection point is reconstructed into an equivalent load node in the pre-generated initial distribution network topology to obtain the distribution network topology; the virtual load demand of the equivalent load node corresponding to the common connection point is the absolute value of the boundary exchange power; then, the power generation of each generation node and the load power of each load node in the distribution network are acquired, and the power transmission ratio between each generation node and the equivalent load node is determined according to each generation power, each load power and the distribution network topology; the load node includes the equivalent load node; then, the contribution power of each generation node to the virtual load demand is determined according to the virtual load demand and the power transmission ratio between each generation node and the equivalent load node; finally, the green electricity tracking result of the common connection point is determined based on the contribution power of each generation node to the virtual load demand.

[0074] Thus, by monitoring the boundary exchange power of each common connection point in real time and reconstructing it into an equivalent load node when reverse power is detected, and setting the virtual load demand of this equivalent load node to the absolute value of the boundary exchange power, the reverse power flow scenario, which was originally impossible to perform power flow tracing due to the lack of load definition at the common connection point, can be successfully transformed into a mathematically solvable closed-loop power distribution problem. Furthermore, based on this, the power transmission ratio between each generation node and the equivalent load node is first determined according to the distribution network topology, and then the green electricity tracing result is determined according to the contribution power of each generation node. This enables accurate quantification of the green electricity component in the reverse power flow scenario, thereby solving the technical problem in related technologies where the common connection point cannot participate in green electricity tracing calculation as an effective load node when reverse power is fed back, resulting in inaccurate tracing results. This improves the accuracy and reliability of the final green electricity tracing result.

[0075] In one embodiment, such as Figure 1 As shown, the method is applied to the aforementioned control terminal as an example for illustration. In this embodiment, the method includes the following steps:

[0076] Step 102: For each point of common coupling in the distribution network, obtain the boundary switching power of the point of common coupling in real time, and determine the operating status of the point of common coupling based on the boundary switching power.

[0077] The point of common coupling (PCC) is the electrical boundary between the distribution network and the upstream transmission network, serving as a power exchange gateway. The distribution network connects to the main grid through the PCC, which is also a crucial location for monitoring power flow. The boundary exchange power at the PCC is the actual active power flowing at the PCC, measured in MW. The sign of the boundary exchange power reflects the physical direction of power flow. When the boundary exchange power is greater than 0, it indicates that power is flowing from the main grid to the distribution network, and the PCC operates in a forward power receiving state. When the boundary exchange power is less than 0, it indicates that power is flowing from the distribution network to the main grid, and the PCC operates in a reverse power feeding state. When the boundary exchange power is equal to 0, it indicates that there is no power exchange at the PCC, and the PCC operates in a zero-power state.

[0078] Optionally, for each common coupling point in the distribution network, the active power data of the common coupling point can be collected in real time by a power measurement device pre-installed at the common coupling point, or the real-time power measurement value of the common coupling point can be read from the distribution network data acquisition and monitoring system as the boundary exchange power value of the common coupling point, and the power flow direction status can be determined according to the positive or negative sign of the value.

[0079] Step 104: When the common connection point is in the state of reverse power feeding, the common connection point is reconstructed into an equivalent load node in the pre-generated initial distribution network topology to obtain the distribution network topology.

[0080] Specifically, when the total generating power of all distributed power sources within the distribution network exceeds the total demand of all loads within the distribution network, the net surplus power is fed back to the upper-level main network through the point of common coupling (PCC). At this time, the boundary exchange power is negative, and the PCC operates in a reverse power feeding state. The pre-generated initial distribution network topology is a network model pre-established based on the physical connection relationships of the distribution network, including each node in the distribution network (generator nodes, load nodes, bus nodes, and PCC, etc.) and the branch connection relationships between them.

[0081] An equivalent load node is a virtual node obtained by reconstructing the node attributes of the point of common coupling from a power source node to a load node when power is fed back in the opposite direction. Equivalent load nodes do not consume physical power, but they play the role of load nodes in the mathematical model, thus forming a closed-loop structure of "power source → load" for the entire distribution network, satisfying the requirements of traditional power flow tracing algorithms for the "source-load" path.

[0082] The distribution network topology is an updated network model obtained by equivalent modeling and reconstruction of the initial distribution network topology after detecting reverse backfeed power. In this distribution network topology, the node attributes of the point of common connection are reconstructed from power source nodes to equivalent load nodes, and the absolute value of the boundary exchange power is used as the virtual load demand of the equivalent load node. The distribution network topology can be used to perform green electricity tracking calculations.

[0083] Optionally, when a negative boundary exchange power value is detected at the point of common connection, the node type identifier of the point of common connection is changed from "power node" to "load node" in the pre-generated initial distribution network topology, that is, it is reconstructed as an equivalent load node, and the absolute value of the boundary exchange power is used as the virtual load demand of the newly created equivalent load node to obtain the distribution network topology.

[0084] Step 106: Obtain the power generation of each power generation node and the load power of each load node in the distribution network, and determine the power transmission ratio between each power generation node and the equivalent load node based on the power generation, load power and distribution network topology.

[0085] In a power distribution network, power generation nodes are categorized into green electricity nodes and non-green electricity nodes. Green electricity nodes generate electricity using renewable energy sources, resulting in lower carbon emissions; these include photovoltaic (PV), wind, and hydroelectric power nodes. Non-green electricity nodes generate electricity using fossil fuels or other non-renewable energy sources, resulting in higher carbon emissions; these include thermal power and nuclear power nodes.

[0086] Load nodes include equivalent load nodes. The power transmission ratio between each generating node and the equivalent load node refers to the share that each generating node needs to bear for every unit of power consumed by the equivalent load node. The value is between 0 and 1, and the sum of the power transmission ratios of all generating nodes to a certain equivalent load node is 1.

[0087] Optionally, based on the distribution network topology, the power distribution of the distribution network can be solved by using the power generation of each generating node as the injection and the load power of each load node (including the virtual load demand of the equivalent load node) as the outflow, to obtain the power value of each branch; then, the total inflow power of each node can be calculated based on the power value of each branch; then, the power distribution ratio between adjacent nodes can be calculated based on the total inflow power of each node; finally, the power transmission ratio between each generating node and the equivalent load node can be obtained based on the power distribution ratio between adjacent nodes.

[0088] Step 108: Determine the contribution power of each power generation node to the virtual load demand based on the virtual load demand and the power transmission ratio between each power generation node and the equivalent load node.

[0089] The contribution power is the actual contribution power of the power generation node to the virtual load demand, and the unit is MW. It can be determined by the product of the power transmission ratio and the virtual load demand.

[0090] Optionally, the power transmission ratio between each power generation node and the equivalent load node can be multiplied by the virtual load demand to obtain the power contribution value of each power generation node to the virtual load demand.

[0091] Step 110: Determine the green electricity tracking result of the common connection point based on the contribution power of each power generation node to the virtual load demand.

[0092] The green electricity tracking results include details of the power contribution of each renewable energy generation node, the total power contribution of each green electricity node, and the proportion of green electricity.

[0093] Optionally, based on the type identifier of each power generation node (1 for green power nodes and 0 for non-green power nodes), the contribution power of green power nodes can be filtered out from the contribution power of each power generation node and accumulated to obtain the total green power contribution; then, the total green power contribution is divided by the virtual load demand to calculate the green power purity index, i.e., the green power ratio; finally, the green power tracking results, which include the contribution power details of each green power node, the total contribution power of green power nodes, and the green power ratio, are output.

[0094] The aforementioned method for determining green electricity tracking results monitors the boundary exchange power of each common coupling point (CCP) in real time. When reverse power flow is detected at a CCP, the CCP is reconstructed as an equivalent load node, and the virtual load demand of the equivalent load node is set to the absolute value of the boundary exchange power. This transforms the reverse power flow scenario, which was originally impossible to track due to the lack of load definition at the CCP, into a mathematically solvable closed-loop power distribution problem. Furthermore, based on this, the power transmission ratio between each generating node and the equivalent load node is first determined according to the distribution network topology, and then the green electricity tracking result is determined based on the contribution power of each generating node. This enables accurate quantification of the green electricity component in the reverse power flow scenario, thereby solving the technical problem in related technologies where the CCP cannot participate in green electricity tracking calculations as an effective load node when reverse power flow occurs. This improves the accuracy and reliability of the final green electricity tracking results.

[0095] In one embodiment, such as Figure 2 As shown, based on the power generation capacity, the load capacity, and the distribution network topology, the power transmission ratio between each power generation node and the equivalent load node is determined, including:

[0096] Step 202: Based on the power generation capacity, the load capacity, and the distribution network topology, perform power flow calculations to obtain the power distribution information set of each branch in the distribution network topology.

[0097] The power distribution information set of the branch includes branch identifier, starting node, ending node, active power at the starting end, reactive power at the starting end, active power at the ending end, reactive power at the ending end, and power direction.

[0098] Optionally, the power generation of each power generation node can be used as the injection amount and the load power of each load node as the outflow amount. Combined with the branch parameters in the distribution network topology, the power flow calculation method can be used to solve for the distribution results of active and reactive power of each branch, i.e., the power distribution information set.

[0099] Step 204: Determine the total inflow power to each node in the distribution network topology based on the power distribution information set of each branch.

[0100] In this context, the total inflow power to the equivalent load node represents the virtual load demand. Nodes in the distribution network topology include generating nodes, load nodes, intermediate nodes, and PCC nodes. Load nodes are power-consuming nodes, while intermediate nodes neither generate nor carry loads, serving only as aggregation and distribution points for power transmission, such as busbars. The total inflow power to a node is the sum of all active power flowing into that node from upstream branches within the distribution network topology.

[0101] Optionally, for each node in the distribution network topology, all branches with that node as the terminal node can be found from the power distribution information set of the branches obtained in step 202. The active power values ​​of these branches are added together to obtain the total inflow power of that node. In this case, the equivalent load node does not obtain its total inflow power through the branches, but directly uses the virtual load demand as its total inflow power.

[0102] Step 206: For each node, determine the power transmission ratio from the upstream node to the node based on the total inflow power of the node and the outflow power of the upstream node adjacent to the node.

[0103] Optionally, for each node, the power transmission ratio from the upstream node to the node can be determined based on the ratio of the outflow power of the adjacent upstream node to the total inflow power of the node.

[0104] Step 208: Determine the power transmission ratio between each power generation node and the equivalent load node based on the power transmission ratio of each node's upstream node to the node.

[0105] Optionally, a matrix describing the power transmission relationship between adjacent nodes can be constructed based on the power transmission ratio between all adjacent nodes obtained in step 206; then, the matrix can be transformed to obtain a network-wide tracing matrix describing the full path relationship between any nodes; finally, data corresponding to the equivalent load nodes can be extracted from the network-wide tracing matrix to obtain the power transmission ratio between each power generation node and the equivalent load node.

[0106] In this embodiment, power flow calculation is first performed based on the power distribution network topology to obtain the power distribution of each branch, and the total inflow power of each node is determined based on the power distribution of each branch. Then, the power transmission ratio between adjacent nodes is calculated, and finally the power transmission ratio between each power generation node and the equivalent load node is determined, which can realize the accurate quantification of the contribution ratio of each power generation node to the backfeed power.

[0107] In one embodiment, such as Figure 3 As shown, based on the power transmission ratio from upstream nodes to nodes, the power transmission ratio between each generating node and its equivalent load node is determined, including:

[0108] Step 302: Construct an upstream distribution matrix based on the power transmission ratio of each node's upstream nodes to the node.

[0109] The upstream distribution matrix is ​​an N*N matrix, where N is the total number of nodes in the distribution network. Each first element in the upstream distribution matrix represents the proportion of the total power of the downstream node corresponding to the first element that comes directly from the upstream node corresponding to the first element.

[0110] Optionally, an initial matrix with a dimension equal to the total number of distribution network nodes N can be constructed based on the power transmission ratio between adjacent nodes, i.e., the upstream distribution matrix.

[0111] Step 304: Construct a network-wide source tracing matrix based on the upstream distribution matrix.

[0112] Among them, the whole network traceability matrix is ​​an N*N type matrix obtained by transforming the upstream distribution matrix. Each second element in the whole network traceability matrix represents the proportion of the downstream node corresponding to the second element to the upstream node corresponding to the second element in each unit of power consumed.

[0113] Optionally, you can first obtain an identity matrix with the same dimension as the upstream distribution matrix, calculate the difference matrix between the identity matrix and the upstream distribution matrix, and then perform an inversion operation on the difference matrix to obtain the whole network source tracing matrix.

[0114] Step 306: Extract the row vectors corresponding to the equivalent load nodes from the whole network source tracing matrix.

[0115] In this row vector, each element represents the proportion of total power transmitted from the upstream node to the equivalent load node in the corresponding column.

[0116] Optionally, in the network-wide source tracing matrix, based on the row index of the equivalent load node in the matrix, the element values ​​of all columns in that row are extracted to form a row vector; each element in the row vector corresponds to the unit power contribution ratio of an upstream node to the equivalent load node.

[0117] Step 308: Determine the element values ​​in the row vector corresponding to each power generation node as the power transmission ratio between each power generation node and the equivalent load node.

[0118] Optionally, based on the pre-stored type identifiers of each node, the element values ​​corresponding to the power generation nodes can be filtered from the row vectors extracted in step 306, and these element values ​​can be determined as the power transmission ratio between each power generation node and the equivalent load node.

[0119] In this embodiment, by constructing an upstream distribution matrix describing the direct power transmission relationship between adjacent nodes, and performing mathematical transformations on the matrix to obtain a full-network tracing matrix describing all power transmission paths between any nodes, the row vectors corresponding to the equivalent load nodes can be extracted from the matrix to obtain the unit power contribution ratio of each upstream node to the equivalent load node, thereby improving the accuracy of the final green electricity tracking results.

[0120] In one embodiment, such as Figure 4 As shown, based on the virtual load demand and the power transmission ratio between each generation node and the equivalent load node, the contribution power of each generation node to the virtual load demand is determined, including:

[0121] Step 402: Select the power transmission ratio corresponding to the green electricity node from the power transmission ratio between each power generation node and the equivalent load node.

[0122] Optionally, the power transmission ratio corresponding to green electricity nodes can be filtered according to the type identifier of each power generation node. For example, the type identifier of green electricity nodes is 1, and the type identifier of non-green electricity nodes is 0.

[0123] Step 404: For each green electricity node, the product of the power transmission ratio corresponding to the green electricity node and the virtual load demand is determined as the contribution power of the green electricity node to the virtual load demand.

[0124] Optionally, for each green power node, its corresponding power transmission ratio can be multiplied by the virtual load demand of the equivalent load node to obtain the contribution power of the green power node to the virtual load demand.

[0125] In this embodiment, the proportion corresponding to the green electricity node is selected from the power transmission ratio of each power generation node according to the type identifier of the green electricity node. Then, the power transmission ratio of each green electricity node is multiplied by the virtual load demand to obtain the actual contribution power value of each green electricity node to the backfeed power. This can separate and quantify the components from different green electricity nodes in the mixed backfeed power, thereby obtaining the individual contribution details of each green electricity node, providing an accurate data basis for determining the final green electricity tracking result.

[0126] In one embodiment, such as Figure 5 As shown, based on the contribution power of each generation node to the virtual load demand, the green electricity tracking results of the point of common coupling are determined, including:

[0127] Step 502: Determine the total green power contribution based on the contribution power of each green power node to the virtual load demand.

[0128] Optionally, the contribution power of each green electricity node to the virtual load demand can be summed to obtain the total contribution power of green electricity.

[0129] Step 504: Determine the proportion of green electricity based on the ratio of the total green electricity contribution to the virtual load demand.

[0130] Optionally, the ratio of the total green electricity contribution to the virtual load demand can be determined as the green electricity proportion.

[0131] Step 506: Determine the green electricity tracking results for the common connection point based on the green electricity ratio.

[0132] Optionally, the contribution power and green electricity ratio of each green electricity node can be combined as the output of the green electricity tracking result of the common connection point.

[0133] In this embodiment, the total green electricity contribution power is obtained by summing the contribution power of all green electricity nodes. Then, the ratio of the total green electricity contribution power to the virtual load demand is calculated to obtain the green electricity proportion. Based on the green electricity proportion, the green electricity tracking result, which includes the green electricity proportion and the individual contribution power of each green electricity node, is determined, which can provide a reliable basis for subsequent green electricity traceability.

[0134] In one embodiment, such as Figure 6 As shown, after determining the green electricity tracking results at the point of common junction, the method further includes:

[0135] Step 602: Based on the green electricity tracking results, determine the current green electricity level at the common connection point.

[0136] Optionally, the duration of the current statistical period can be obtained first, and the green electricity ratio determined in step 504 can be multiplied by the total exchange power integral value within the current statistical period, or the total green electricity contribution power determined in step 502 can be multiplied by the duration of the statistical period to obtain the green electricity amount for the current period.

[0137] Step 604: Accumulate the green electricity amount into the preset integration buffer pool.

[0138] The integration buffer pool is a temporary data storage structure maintained in the physical simulation layer, such as MATLAB's memory. It is used to continuously accumulate the green electricity at each moment to solve the granularity mismatch between physical power sampling and blockchain asset issuance standards. The integration buffer pool can record scattered green electricity that has not yet reached the issuance threshold, ensuring that every unit of green electricity is counted and is not discarded due to insufficient quantity to form a minimum issuance unit.

[0139] Optionally, the current period's green electricity can be accumulated into a pre-established integral buffer pool variable in the physical simulation layer's memory. This variable can continuously store historically accumulated green electricity that has not triggered asset forging, and its value is updated after each accumulation.

[0140] Step 606: When the accumulated power in the points buffer pool reaches the preset power threshold, generate an on-chain asset minting instruction based on the ratio of the accumulated power to the preset power threshold.

[0141] The preset power threshold is the minimum power unit required for a single on-chain asset minting, pre-defined by the system; it represents the minimum green electricity required to trigger a green certificate issuance. The preset power threshold can be flexibly configured according to the application scenario. For example, the preset power threshold could be 0.1 MWh. The on-chain asset minting instruction is a call command issued by the physical simulation layer to the cross-domain interaction gateway to trigger the blockchain smart contract to execute the minting operation. The on-chain asset minting instruction can include parameters such as the minting quantity, the target account address, and metadata.

[0142] Optionally, after each update of the points buffer pool, it is determined whether the current accumulated power of the buffer pool has reached the preset power threshold. If it has not reached the threshold, the buffer pool state is maintained and the accumulation continues in the next cycle. If it has reached or exceeded the threshold, an on-chain asset minting instruction corresponding to the integer value of the ratio between the accumulated power and the preset power threshold is generated.

[0143] In this embodiment, the current amount of green electricity is determined based on the green electricity tracking results and accumulated into the integration buffer pool. On-chain asset minting instructions are only generated when the accumulated amount in the buffer pool reaches a preset amount threshold. This allows continuous and small increments of green electricity to be aggregated into discrete transaction units that meet the blockchain asset issuance standards. This solves the technical problems in related technologies, such as the serious lag in green electricity ownership confirmation caused by settlement on a fixed period and the inability to timely assetize fragmented green electricity, thereby improving the efficiency and timeliness of green electricity ownership confirmation.

[0144] In one embodiment, such as Figure 7 As shown, based on the ratio of accumulated power to a preset power threshold, an on-chain asset minting instruction is generated, including:

[0145] Step 702: Round down the ratio of the accumulated power to the preset power threshold to obtain the number of processable integer units.

[0146] Optionally, the ratio of accumulated electricity to a preset electricity threshold can be rounded down, i.e., the decimal part is discarded and only the integer part is retained. This integer part is used as the number of integer units that can be processed in this instance. This number represents the number of green electricity certificates that can be fully constructed from the current accumulated electricity to meet the minimum issuance unit requirement.

[0147] Step 704: Generate on-chain asset minting instructions of the corresponding number of times based on the integer unit quantity.

[0148] Optionally, based on the integer unit quantity obtained in step 702, a corresponding number of on-chain asset minting instructions are generated. Each instruction corresponds to the minting of one green electricity certified asset, so that the smart contract in the blockchain network responds to each instruction and executes a minting operation to generate the corresponding number of green electricity certifications. At the same time, the accumulated electricity in the points buffer pool is reduced by the electricity corresponding to the minted portion, which is the product of the integer unit quantity and the preset electricity threshold, and the remaining electricity below the threshold continues to participate in subsequent accumulation.

[0149] In this embodiment, the ratio of accumulated power to a preset power threshold is rounded down to obtain the number of processable integer units. This ensures that the power portion that reaches the minimum issuance unit can be minted into on-chain assets in a timely manner, while the remaining power that has not reached the threshold can be retained in the buffer pool to continue participating in subsequent accumulation, thereby achieving continuous accumulation of physical power without loss during the accumulation process.

[0150] In one embodiment, after generating the corresponding number of on-chain asset minting instructions, the method further includes: sending the on-chain asset minting instructions to a cross-domain interaction gateway, so that the cross-domain interaction gateway constructs a blockchain transaction according to the on-chain asset minting instructions, digitally signs the blockchain transaction, and broadcasts the signed blockchain transaction to the blockchain network.

[0151] In this context, smart contracts in the blockchain network respond to signed blockchain transactions by generating the same number of green electricity certifications as the integer units.

[0152] Optionally, after generating the corresponding number of on-chain asset minting instructions, the physical simulation layer sends the minting instructions, which include parameters such as the target account address, minting quantity, and source of green electricity, to the cross-domain interaction gateway via system calls or inter-process communication. After receiving the instructions, the cross-domain interaction gateway calls the blockchain to construct an unsigned blockchain transaction, digitally signs the transaction using a pre-configured private key, and then broadcasts the signed transaction data to the blockchain network. After verifying the legality of the transaction signature, the smart contract in the blockchain network automatically executes the minting function to generate the same number of green electricity certifications as the integer unit quantity, such as NFTs (Non-Fungible Tokens). Each certification corresponds to a unique digital identifier and records metadata such as the source of green electricity, electricity value, and timestamp, which is associated with the target account address, thereby completing the mapping and confirmation of rights from physical electricity to on-chain digital assets.

[0153] In this embodiment, the on-chain asset minting instruction is sent to the cross-domain interaction gateway. The cross-domain interaction gateway then constructs a blockchain transaction based on the minting instruction, performs digital signing, and broadcasts it to the blockchain network. This enables the smart contract in the blockchain network to respond to the transaction and generate a corresponding amount of green electricity certification. This allows for a reliable and secure mapping of physical simulation layer calculation results to blockchain digital assets. Furthermore, digital signatures ensure the legitimacy of the transaction source, and the automatic execution of smart contracts ensures the transparency and immutability of asset generation. This transforms the green electricity contribution of distributed power sources into traceable and tradable on-chain digital assets, providing reliable data for the subsequent circulation, write-off, and carbon emission accounting of green electricity.

[0154] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0155] Based on the same inventive concept, this application also provides a green electricity tracking result determination device for implementing the green electricity tracking result determination method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the green electricity tracking result determination device provided below can be found in the limitations of the green electricity tracking result determination method described above, and will not be repeated here.

[0156] In one embodiment, such as Figure 8 As shown, a green electricity tracking result determination device is provided, including: an operating status determination module 802, a distribution network reconfiguration module 804, a transmission ratio determination module 806, a contribution power determination module 808, and a tracking result determination module 810, wherein:

[0157] The operating status determination module 802 is used to acquire the boundary switching power of each common connection point in the distribution network in real time, and determine the operating status of the common connection point based on the boundary switching power.

[0158] The distribution network reconfiguration module 804 is used to reconfigure the point of common coupling (PCC) into an equivalent load node in a pre-generated distribution network topology when the PCC is in a reverse power feeding state, thus obtaining the distribution network topology; the virtual load demand of the equivalent load node corresponding to the PCC is the absolute value of the boundary exchange power.

[0159] The transmission ratio determination module 806 is used to obtain the power generation of each power generation node and the load power of each load node in the distribution network, and determine the power transmission ratio between each power generation node and the equivalent load node based on the power generation, the load power and the distribution network topology; the load node includes the equivalent load node.

[0160] The contribution power determination module 808 is used to determine the contribution power of each power generation node to the virtual load demand based on the virtual load demand and the power transmission ratio between each power generation node and the equivalent load node.

[0161] The tracking result determination module 810 is used to determine the green electricity tracking result of the point of common coupling based on the contribution power of each power generation node to the virtual load demand.

[0162] In one embodiment, the transmission ratio determination module 806 is further configured to perform power flow calculations based on the power generation capacity, the load capacity, and the distribution network topology to obtain the power distribution information set of each branch in the distribution network topology; determine the total inflow power of each node in the distribution network topology based on the power distribution information set of each branch; the total inflow power of the equivalent load node is the virtual load demand; for each node, determine the power transmission ratio from upstream node to node based on the total inflow power of the node and the outflow power of the upstream node adjacent to the node; and determine the power transmission ratio between each power generation node and the equivalent load node based on the power transmission ratio from upstream node to node of each node.

[0163] In one embodiment, the transmission ratio determination module 806 is further configured to construct an upstream distribution matrix based on the power transmission ratio of each node's upstream node to the node; each first element in the upstream distribution matrix represents the proportion of the total power of the downstream node corresponding to the first element that comes directly from the upstream node corresponding to the first element; construct a network-wide source tracing matrix based on the upstream distribution matrix; each second element in the network-wide source tracing matrix represents the proportion of the unit power consumed by the downstream node corresponding to the second element that comes from the upstream node corresponding to the second element; extract row vectors corresponding to equivalent load nodes from the network-wide source tracing matrix; each element in the row vector represents the total power transmission ratio of the upstream node to the equivalent load node in the corresponding column; and determine the element values ​​in the row vector corresponding to each power generation node as the power transmission ratio between each power generation node and the equivalent load node.

[0164] In one embodiment, the contribution power determination module 808 is further configured to select the power transmission ratio corresponding to the green electricity node from the power transmission ratio between each power generation node and the equivalent load node; and for each green electricity node, determine the product of the power transmission ratio corresponding to the green electricity node and the virtual load demand as the contribution power of the green electricity node to the virtual load demand.

[0165] In one embodiment, the contribution power determination module 808 is further configured to determine the total green power contribution based on the contribution power of each green power node to the virtual load demand; determine the green power proportion based on the ratio of the total green power contribution to the virtual load demand; and determine the green power tracking result of the common connection point based on the green power proportion.

[0166] In one embodiment, the device further includes an on-chain management module, which is used to determine the current green electricity level of the public connection point based on the green electricity tracking results; accumulate the green electricity level to a preset integration buffer pool; and generate an on-chain asset minting instruction based on the ratio of the accumulated electricity level to the preset electricity threshold when the accumulated electricity level in the integration buffer pool reaches a preset electricity threshold.

[0167] In one embodiment, the on-chain management module is further configured to round down the ratio of the accumulated power to a preset power threshold to obtain a number of processable integer units; and generate on-chain asset minting instructions of the corresponding number of integer units.

[0168] In one embodiment, the on-chain management module is further configured to send on-chain asset minting instructions to the cross-domain interaction gateway, so that the cross-domain interaction gateway constructs a blockchain transaction according to the on-chain asset minting instructions, digitally signs the blockchain transaction, and broadcasts the signed blockchain transaction to the blockchain network; the smart contract in the blockchain network responds to the signed blockchain transaction and generates the same number of green electricity certifications as the integer unit quantity.

[0169] The various modules in the aforementioned green electricity tracking result determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0170] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 9 As shown. The computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a method for determining green electricity tracking results. The display screen can be an LCD screen or an e-ink display screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device casing, or an external keyboard, touchpad, or mouse.

[0171] Those skilled in the art will understand that Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0172] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0173] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0174] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0175] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0176] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0177] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0178] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for determining green electricity tracking results, characterized in that, The method includes: For each point of common coupling in the distribution network, the boundary switching power of the point of common coupling is acquired in real time, and the operating status of the point of common coupling is determined based on the boundary switching power. When the common connection point is operating in a reverse power feeding state, the common connection point is reconstructed as an equivalent load node in the pre-generated initial distribution network topology to obtain the distribution network topology; the virtual load demand of the equivalent load node corresponding to the common connection point is the absolute value of the boundary exchange power; The generation power of each generation node and the load power of each load node in the distribution network are obtained, and the power transmission ratio between each generation node and the equivalent load node is determined based on the generation power, the load power and the distribution network topology; the load node includes the equivalent load node. Based on the virtual load demand and the power transmission ratio between each power generation node and the equivalent load node, the contribution power of each power generation node to the virtual load demand is determined. Based on the contribution power of each of the power generation nodes to the virtual load demand, the green electricity tracking result of the common connection point is determined.

2. The method according to claim 1, characterized in that, The step of determining the power transmission ratio between each power generation node and the equivalent load node based on each power generation capacity, each load capacity, and the distribution network topology includes: Based on the power generation capacity, the load capacity, and the distribution network topology, power flow calculation is performed to obtain the power distribution information set of each branch in the distribution network topology. Based on the power distribution information set of each branch, the total inflow power of each node in the distribution network topology is determined; the total inflow power of the equivalent load node is the virtual load demand. For each node, the power transmission ratio from the upstream node to the node is determined based on the total inflow power of the node and the outflow power of the upstream node adjacent to the node. The power transmission ratio between each power generation node and the equivalent load node is determined based on the power transmission ratio from the upstream node to the node.

3. The method according to claim 2, characterized in that, Determining the power transmission ratio between each power generation node and the equivalent load node based on the power transmission ratio from the upstream node to the node includes: An upstream distribution matrix is ​​constructed based on the power transmission ratio of each upstream node to the node; each first element in the upstream distribution matrix represents the proportion of the total power of the downstream node corresponding to the first element that directly comes from the upstream node corresponding to the first element. Based on the upstream distribution matrix, a network-wide source tracing matrix is ​​constructed; each second element in the network-wide source tracing matrix represents the proportion of power consumed per unit of power by the downstream node corresponding to the second element from the upstream node corresponding to the second element; Extract the row vectors corresponding to the equivalent load nodes from the network-wide source tracing matrix; each element in the row vector represents the proportion of total power transmission from the upstream node in the corresponding column to the equivalent load node; The element values ​​in the row vector corresponding to each of the power generation nodes are determined as the power transmission ratio between each power generation node and the equivalent load node.

4. The method according to claim 1, characterized in that, The power generation nodes include green power nodes and non-green power nodes; determining the contribution power of each power generation node to the virtual load demand based on the virtual load demand and the power transmission ratio between each power generation node and the equivalent load node includes: From the power transmission ratios between each of the power generation nodes and the equivalent load nodes, the power transmission ratio corresponding to the green electricity node is selected. For each green power node, the product of the power transmission ratio corresponding to the green power node and the virtual load demand is determined as the contribution power of the green power node to the virtual load demand.

5. The method according to claim 4, characterized in that, The determination of the green electricity tracking result of the point of common coupling based on the contribution power of each of the power generation nodes to the virtual load demand includes: The total green power contribution is determined based on the contribution power of each green power node to the virtual load demand. The proportion of green electricity is determined based on the ratio of the total green electricity contribution to the virtual load demand. Based on the green electricity ratio, the green electricity tracking result of the common connection point is determined.

6. The method according to claim 1, characterized in that, After determining the green electricity tracking result of the common junction point, the method further includes: Based on the green electricity tracking results, the current green electricity level of the common connection point is determined; The amount of green electricity is accumulated into a preset integration buffer pool; When the accumulated power in the integral buffer pool reaches a preset power threshold, an on-chain asset minting instruction is generated based on the ratio of the accumulated power to the preset power threshold.

7. The method according to claim 6, characterized in that, The step of generating on-chain asset minting instructions based on the ratio of the accumulated power to the preset power threshold includes: The ratio of the accumulated power to the preset power threshold is rounded down to obtain the number of processable integer units. Based on the integer unit quantity, generate the corresponding number of on-chain asset minting instructions.

8. The method according to claim 7, characterized in that, After generating the corresponding number of on-chain asset minting instructions, the method further includes: The on-chain asset minting instruction is sent to the cross-domain interaction gateway, so that the cross-domain interaction gateway constructs a blockchain transaction according to the on-chain asset minting instruction, digitally signs the blockchain transaction, and broadcasts the signed blockchain transaction to the blockchain network; the smart contract in the blockchain network responds to the signed blockchain transaction and generates the same number of green electricity certifications as the integer unit quantity.

9. A device for determining green electricity tracking results, characterized in that, The device includes: The operating status determination module is used to acquire the boundary switching power of each common connection point in the distribution network in real time, and determine the operating status of the common connection point based on the boundary switching power. The distribution network reconfiguration module is used to reconfigure the point of common connection (PCC) into an equivalent load node in a pre-generated distribution network topology when the PCC's operating state is reverse power feeding, thereby obtaining the distribution network topology; the virtual load demand of the equivalent load node corresponding to the PCC is the absolute value of the boundary exchange power. The power transmission ratio determination module is used to obtain the power generation power of each power generation node and the load power of each load node in the distribution network, and determine the power transmission ratio between each power generation node and the equivalent load node based on the power generation power, the load power and the distribution network topology; the load node includes the equivalent load node; The contribution power determination module is used to determine the contribution power of each power generation node to the virtual load demand based on the virtual load demand and the power transmission ratio between each power generation node and the equivalent load node. The tracking result determination module is used to determine the green electricity tracking result of the common connection point based on the contribution power of each of the power generation nodes to the virtual load demand.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 8.

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