Dynamic carbon emission factor metering method and system considering power grid auxiliary service
By constructing a power grid topology and a dynamic carbon emission factor measurement method for the industrial park, the problem of the unaccounted impact of power grid ancillary services on carbon emissions has been solved, achieving accuracy and real-time carbon emission measurement, and supporting the low-carbon transformation and scientific decision-making of the industrial park.
Patent Information
- Application Number
- CN202511712334.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-20
- Publication Date
- 2026-03-03
AI Technical Summary
Existing technologies fail to fully consider the dynamic impact of grid ancillary services on carbon emissions in industrial parks, resulting in inaccurate carbon emission measurement and an inability to meet the needs of refined management. In particular, the measurement results show significant errors when the grid load changes rapidly or ancillary services are frequently invoked.
By employing a dynamic carbon emission factor measurement method, the impact of grid ancillary services on carbon flow is quantified by constructing the park's power grid topology and an equivalent lossless power node dynamic active power flux matrix. The real-time injection of carbon emission factors into nodes is calculated to achieve carbon emission flow tracking.
It improves the accuracy and real-time nature of carbon emission measurement, provides precise carbon emission data, supports the park's scientific decision-making and low-carbon transformation, and reduces energy waste and operating costs.
Smart Images
Figure CN121599285A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of carbon emission factor measurement technology, and specifically to a dynamic carbon emission factor measurement method and system that takes into account grid ancillary services. Background Technology
[0002] With the increasing severity of climate change, reducing carbon emissions has become a crucial task for all enterprises. Industrial parks, as the primary contributors to energy consumption and carbon emissions, rely heavily on accurate carbon emission measurement to achieve their reduction targets. Currently, carbon emission measurement in industrial parks primarily relies on static carbon emission factors, which are typically calculated based on historical data and average emission levels. However, this method ignores the real-time impact of grid ancillary services (such as frequency regulation and reserves) on carbon emissions, leading to inaccurate measurement. Furthermore, current methods mostly employ static carbon emission factors, which fail to reflect the dynamic changes in grid operation, resulting in significant discrepancies between measurement results and actual emissions. This problem becomes more pronounced with the large-scale integration of renewable energy, increased grid load fluctuations, and frequent ancillary services. For example, when grid frequency regulation services are activated, generator units may need to rapidly adjust their output, causing a momentary increase in carbon emissions, which static factors cannot capture.
[0003] In summary, existing methods lack a dynamic adjustment mechanism for grid ancillary services and cannot adjust carbon emission factors according to real-time grid operating conditions, resulting in insufficient metering accuracy and difficulty in meeting the needs of refined carbon emission reduction management in industrial parks. At the same time, static factors rely on historical data and average emission levels, resulting in poor data timeliness and inability to provide real-time carbon emission data, which is particularly evident when grid load changes rapidly or ancillary services are frequently invoked. Summary of the Invention
[0004] To address the aforementioned problems, this invention proposes a dynamic carbon emission factor measurement method and system that takes into account grid ancillary services. This method can dynamically reflect the impact of grid ancillary services and is of great significance for improving the accuracy, real-time performance, and practicality of carbon emission measurement in industrial parks.
[0005] According to some embodiments, the present invention adopts the following technical solution: A method for measuring dynamic carbon emission factors that takes into account grid ancillary services, comprising: Obtain electricity and carbon emission information for the target industrial park; Based on power information, construct a campus power grid topology that reflects the actual electrical connection relationships and power flow direction; Based on the aforementioned power grid topology, the additional carbon emissions generated by network losses are fairly distributed to each load side, and an equivalent lossless power node dynamic active power flux matrix is established. Based on the equivalent lossless power node dynamic active power flux matrix and carbon emission information, the real-time injected carbon emission factor of the node is calculated by quantifying the impact of grid ancillary services on grid carbon flow. Based on the equivalent lossless power node dynamic active flux matrix and the real-time injected carbon emission factor of the node, carbon emission flow tracking is performed to obtain the dynamic carbon emission factor of each node in the target park.
[0006] Furthermore, the specific steps for constructing the equivalent lossless dynamic active power flux matrix of power nodes are as follows: Based on the power grid topology of the park, the power loss of each power consumption node is calculated, and a power grid carbon flow calculation correction model is constructed. The additional carbon emissions generated by network losses are distributed to the load side, the lossy power network is transformed into a lossless power network, and an equivalent lossless power node dynamic active power flux matrix is established.
[0007] Furthermore, the equivalent lossless power node dynamic active power flux matrix is expressed by the formula:
[0008]
[0009] in, The dynamic distribution matrix of the injected power flow represents the active power injected into the network by k nodes with generator input at time t. This is an intermediate matrix used in the calculation process to establish an equivalent lossless dynamic active power flux matrix for power nodes. This is the equivalent lossless dynamic active power flux matrix for power nodes; It is an m+k order row vector.
[0010] Furthermore, the real-time injected carbon emission factor of the node is expressed by the formula:
[0011] in, E represents the carbon emission factor generated at node t, i.e., the carbon emission factor injected into the node in real time; Gi,t E represents the direct carbon emissions of the generator set connected to node i at time t. Oi,t Let t be the carbon emissions injected into node i by the external power grid at time t. Q represents the carbon emissions directly injected into node i when the energy storage device discharges at time t; Gi,t Q represents the power generation of the generator set connected to node i at time t, including renewable energy generation; Oi,t Let t be the net incoming power to node i from the external power grid at time t.
[0012] Furthermore, the carbon emissions directly injected into node i by the energy storage device at time t are as follows: Calculate the carbon emission factor of the power grid in the park at time t; Calculate the total cumulative carbon emissions stored by energy storage devices using the grid carbon emission factor; The average charging emission factor of energy storage devices is calculated by using the total accumulated carbon emissions. The equivalent carbon emission factor of energy storage device discharge is calculated using the average charging emission factor. Using the converted carbon emission factor, calculate the carbon emissions directly injected into node i by the energy storage device at time t.
[0013] Furthermore, the dynamic carbon emission factor of each node in the target industrial park is expressed by the formula:
[0014]
[0015] Among them, E E,t The real-time carbon emission factor vector is injected at time t, which is a column vector formed by the combination of the real-time injected carbon emission factors of each node; The power flow distribution matrix is injected to characterize the connection relationships between all generator units and nodes, as well as the corresponding power generation; E N,t Let be the dynamic carbon emission factor vector of the power grid at time t.
[0016] According to some embodiments, the present invention adopts the following technical solution: A dynamic carbon emission factor metering system that takes into account grid ancillary services includes: The information acquisition module is configured to acquire electricity and carbon emission information of the target park. The topology building module is configured to: build a campus power grid topology that reflects the actual electrical connections and power flow based on power information; The lossless equivalent module is configured to: fairly distribute the additional carbon emissions generated by network losses to each load side according to the topology of the park power grid, and establish an equivalent lossless power node dynamic active power flux matrix; The injection calculation module is configured to: calculate the real-time injection of carbon emission factors into the nodes based on the equivalent lossless power node dynamic active power flux matrix and carbon emission information, by quantifying the impact of grid ancillary services on grid carbon flow. The dynamic tracking module is configured to track carbon emission flows based on the equivalent lossless power node dynamic active flux matrix and the real-time injected carbon emission factor of the node, and obtain the dynamic carbon emission factor of each node in the target park.
[0017] Furthermore, the specific steps for constructing the equivalent lossless dynamic active power flux matrix of power nodes are as follows: Based on the power grid topology of the park, the power loss of each power consumption node is calculated, and a power grid carbon flow calculation correction model is constructed. The additional carbon emissions generated by network losses are distributed to the load side, the lossy power network is transformed into a lossless power network, and an equivalent lossless power node dynamic active power flux matrix is established.
[0018] Furthermore, the equivalent lossless power node dynamic active power flux matrix is expressed by the formula:
[0019]
[0020] in, The dynamic distribution matrix of the injected power flow represents the active power injected into the network by k nodes with generator input at time t. This is an intermediate matrix used in the calculation process to establish an equivalent lossless dynamic active power flux matrix for power nodes. This is the equivalent lossless dynamic active power flux matrix for power nodes; It is an m+k order row vector.
[0021] Furthermore, the real-time injected carbon emission factor of the node is expressed by the formula:
[0022] in, E represents the carbon emission factor generated at node t, i.e., the carbon emission factor injected into the node in real time; Gi,t E represents the direct carbon emissions of the generator set connected to node i at time t. Oi,t Let t be the carbon emissions injected into node i by the external power grid at time t. Q represents the carbon emissions directly injected into node i when the energy storage device discharges at time t; Gi,t Q represents the power generation of the generator set connected to node i at time t, including renewable energy generation; Oi,t Let t be the net incoming power to node i from the external power grid at time t.
[0023] Furthermore, the carbon emissions directly injected into node i by the energy storage device at time t are as follows: Calculate the carbon emission factor of the power grid in the park at time t; Calculate the total cumulative carbon emissions stored by energy storage devices using the grid carbon emission factor; The average charging emission factor of energy storage devices is calculated by using the total accumulated carbon emissions. The equivalent carbon emission factor of energy storage device discharge is calculated using the average charging emission factor. Using the converted carbon emission factor, calculate the carbon emissions directly injected into node i by the energy storage device at time t.
[0024] Furthermore, the dynamic carbon emission factor of each node in the target industrial park is expressed by the formula:
[0025]
[0026] Among them, E E,t The real-time carbon emission factor vector is injected at time t, which is a column vector formed by the combination of the real-time injected carbon emission factors of each node; The power flow distribution matrix is injected to characterize the connection relationships between all generator units and nodes, as well as the corresponding power generation; E N,t Let be the dynamic carbon emission factor vector of the power grid at time t.
[0027] According to some embodiments, the present invention adopts the following technical solution: A computer program product includes a computer program that, when executed by a processor, implements the dynamic carbon emission factor measurement method that takes into account grid ancillary services.
[0028] According to some embodiments, the present invention adopts the following technical solution: A non-transitory computer-readable storage medium is provided for storing computer instructions, which, when executed by a processor, implement the dynamic carbon emission factor measurement method that takes into account grid ancillary services.
[0029] According to some embodiments, the present invention adopts the following technical solution: An electronic device includes a processor, a memory, and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to implement the dynamic carbon emission factor measurement method that takes into account grid ancillary services.
[0030] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention is based on carbon emission flow theory and constructs a comprehensive carbon emission factor measurement method that takes into account grid ancillary services. It includes the impact of grid ancillary services on carbon emissions in industrial parks and eliminates carbon emission measurement bias caused by neglecting energy storage. By establishing a carbon flow model, it tracks the changes in electricity load in industrial parks and the dynamic information of grid operation status, such as the proportion of different power generation methods and the energy consumption of different equipment. Based on this real-time data, a dynamic carbon emission factor calculation model is established to adapt to the dynamic characteristics of energy consumption and carbon emissions. Attached Figure Description
[0031] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.
[0032] Figure 1 This is a flowchart of the method in Example 1. Figure 2 This is an example diagram of the power grid topology in Example 1. Detailed Implementation
[0033] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0034] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.
[0035] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.
[0036] Example 1 The existing technology has the following drawbacks: The impact of grid ancillary services has not been fully considered: Traditional metering methods do not take grid ancillary services into account, which makes it impossible to accurately reflect the actual carbon emissions of industrial parks in the process of participating in grid interaction, thus affecting the scientificity and effectiveness of energy conservation and emission reduction decisions made by the parks based on this.
[0037] Limitations of static carbon emission factors: Existing carbon emission measurement methods have limitations due to static factors, making it difficult to dynamically reflect the real-time impact of grid ancillary services. As demand and response change dynamically, static factors cannot accurately capture these changes, leading to accounting biases. Furthermore, static mechanisms experience increased errors when grid load fluctuates or ancillary service calls are frequent.
[0038] This embodiment addresses the shortcomings of existing technologies where static factors cannot reflect the real-time impact of grid ancillary services by introducing dynamic carbon emission factors and a real-time adjustment mechanism. It significantly improves the accuracy, real-time performance, and practicality of carbon emission measurement. It not only provides reliable data support for carbon emission reduction management in industrial parks but also offers new ideas and methods for optimizing grid ancillary services and promoting carbon emission reduction technologies, resulting in significant economic and environmental benefits.
[0039] This embodiment provides a method for measuring dynamic carbon emission factors that takes into account grid ancillary services, such as... Figure 1 As shown, it includes the following steps: Step S1: Obtain electricity and carbon emission information for the target park.
[0040] The power information includes the net incoming power of the target park, node information of each power consumption node, power data of each node, node power load, and power generation of the generator sets, wherein the power generation includes the power generation of new energy sources; the carbon emission information is the direct carbon emission of the generator sets.
[0041] Step S2: Based on the net incoming power of the park, the node information of each power-consuming node, the node's power load, the power data of each node's inflow and outflow, and the power generation of the generator sets, construct a park power grid topology that reflects the actual electrical connection relationship and power flow direction. Based on the node information of each power consumption node, the target park's power grid topology system is defined as having n nodes, of which m nodes have loads, k nodes have generator sets, and the s-th (s∈k) node is the access point for energy storage devices. Combining the park's net incoming power, generator set output, and power inflow and outflow data from each node, a system is constructed as follows: Figure 2 The diagram shows the campus power grid topology, including power flow direction.
[0042] Step S3: Based on the power grid topology of the park, the additional carbon emissions generated by the network loss are fairly distributed to each load side, and a relevant matrix for calculating the lossless carbon emission flow is generated, that is, an equivalent lossless power node dynamic active flux matrix is established. Specifically, based on the power grid topology of the park and the power flow data of each node, the power loss of each power-consuming node is calculated, i.e., the dynamic network loss distribution matrix of the branch. On this basis, an equivalent lossless power node dynamic active power flux matrix is constructed, which distributes the additional carbon emissions generated by network losses to the load side, thus transforming the lossy power network into a lossless power network. The dynamic network loss distribution matrix of the branch is expressed by the formula:
[0043] in, The dynamic network loss distribution matrix of the branch circuit represents the active power loss distribution of the power network at time t. The dynamic inflow power distribution matrix of the branch represents the inflow power distribution of the power grid at time t. The dynamic outflow power distribution matrix of the branch represents the outflow power distribution of the power grid at time t.
[0044] Equivalent lossless power node dynamic active flux matrix The calculation formula is as follows:
[0045]
[0046] in, The dynamic distribution matrix of the injected power flow represents the active power injected into the network by k nodes with generator input at time t. This is an intermediate matrix used in the calculation process to establish an equivalent lossless dynamic active power flux matrix for power nodes. The equivalent lossless dynamic active power flux matrix of the power node represents the absolute amount of active power flowing into the node at time t, considering the power flow direction. Let be an m+k order row vector, where all elements are 1.
[0047] Step S4: Taking into account the impact of grid ancillary services on grid carbon flow, calculate the real-time injection of carbon emission factors into the nodes; Specifically, based on the theory of lossless carbon emission flows, this study simulates a typical node system where energy storage devices are integrated into the power grid. By collecting real-time data on the power generation of generator sets in the park and the changes in electricity flow into and out of various nodes, the impact of ancillary services such as demand response and orderly electricity consumption is reflected. Based on the above data, the carbon emissions injected into nodes by external power and the carbon emissions directly injected into nodes by energy storage devices are first calculated. Then, the real-time carbon emission factor of nodes considering grid ancillary services is calculated. The calculation steps are as follows: Carbon emissions from external electrical injection at node i in time zone t The calculation method is as follows:
[0048] Among them, egrid is the carbon emission factor for purchased electricity. You can find the carbon dioxide emission factor for electricity published by the Ministry of Ecology and Environment according to your calculation needs. The carbon emissions from the energy storage device directly injected into node i at time t. The calculation steps are as follows: The method for calculating the carbon emission factor of the power grid in the park at time t is as follows:
[0049] The calculation of the total cumulative carbon emissions from energy storage devices includes:
[0050] Among them, t i,0 Indicates the start time of charging of the energy storage device during time period i; t i,1 Indicates the end time of charging of the energy storage device in time period i; E t P represents the carbon emission factor of the power grid in the park at time t; t This represents the energy storage charging power at time t.
[0051] Calculate the average charging emission factor of energy storage devices based on their cumulative carbon emissions.
[0052] Where n represents the number of times the energy storage device is charged.
[0053] Calculate the converted carbon emission factor of energy storage device discharge based on the average charging emission factor. :
[0054] Where η represents the energy storage charge-discharge conversion efficiency.
[0055] Based on the above calculation process, the carbon emissions from the direct injection of energy storage device into node i at time t are calculated as follows:
[0056] in, Let t be the amount of electricity that the energy storage device directly injects into node i at time t.
[0057] The method for calculating the real-time carbon emission factor injected into nodes, taking into account grid ancillary services, is as follows:
[0058] in, E represents the carbon emission factor generated at node t, i.e., the carbon emission factor injected into the node in real time; Gi,tE represents the direct carbon emissions of the generator set connected to node i at time t. Oi,t Let t be the carbon emissions injected into node i by the external power grid at time t. Q represents the carbon emissions directly injected into node i when the energy storage device discharges at time t; Gi,t Q represents the power generation of the generator set connected to node i at time t, including renewable energy generation; Oi,t Let t be the net incoming power to node i from the external power grid at time t.
[0059] Step S5: Based on the equivalent lossless power node dynamic active flux matrix and the real-time injected carbon emission factor of the node, perform carbon emission flow calculation to obtain the dynamic carbon emission factor of each node in the target park.
[0060] Specifically, the aforementioned steps establish the electrical carbon correlation relationship, namely the equivalent lossless power node dynamic active power flux matrix. Real-time injection of carbon emission factors at nodes To achieve lossless carbon emission flow tracking and calculate the dynamic electricity consumption carbon emission factor vector of industrial park nodes. The formula is:
[0061]
[0062] Among them, E E,t The real-time carbon emission factor vector is injected at time t, which is a column vector formed by the combination of the real-time injected carbon emission factors of each node; The power flow distribution matrix is injected to characterize the connection relationships between all generator units and nodes, as well as the corresponding power generation; E N,t Let t be the dynamic carbon emission factor vector of the power grid at time t, representing the dynamic carbon emission factor of electricity consumption at all nodes, i.e. how much carbon emission is generated by using one kilowatt-hour of electricity.
[0063] This embodiment provides a dynamic carbon emission factor measurement method that takes into account grid ancillary services. This method can dynamically reflect the impact of grid ancillary services and is of great significance for improving the accuracy, real-time performance, and practicality of carbon emission measurement in industrial parks. Specifically, it has the following advantages: (1) To support the green development of the park and achieve low-carbon transformation: The proposed carbon emission measurement algorithm comprehensively considers the interactions of multiple energy sources, constructing a complete multi-energy coupled carbon emission measurement system. This enables the industrial park to fully understand carbon emissions under different energy interaction scenarios, thereby optimizing its energy structure. It aligns with the current trend of green development, providing strong support for attracting more green investment and projects to the park, and promoting its transformation towards low-carbon and sustainable development.
[0064] (2) Improve the accuracy of carbon emission measurement and ensure the scientific nature of decision-making: The carbon emission factor measurement model constructed in this invention, which takes into account grid ancillary services, effectively quantifies the impact of grid ancillary services on the carbon emissions of industrial parks, providing accurate and dynamic electricity carbon factors for carbon measurement in the parks. This provides parks with accurate carbon emission data in the carbon trading market, avoiding economic losses or trading risks caused by measurement errors. Simultaneously, accurate data helps parks formulate more realistic emission reduction targets and strategies when developing energy conservation and emission reduction policies, ensuring rational resource allocation and improving the scientific nature and effectiveness of decision-making.
[0065] (3) Promote efficient energy use and reduce operating costs: By developing a dynamic data acquisition and analysis system and a dynamic carbon emission factor calculation model, the park has achieved real-time tracking of the dynamic characteristics of energy consumption and carbon emissions. This means that while meeting production needs, the park has reduced energy waste and lowered energy procurement costs. For example, it has reduced the use of high-priced electricity during peak hours and increased the consumption of low-priced electricity during off-peak hours, directly reducing electricity expenses and improving the park's economic efficiency.
[0066] Example 2 One embodiment of the present invention provides a dynamic carbon emission factor metering system that takes into account grid ancillary services, comprising: The information acquisition module is configured to acquire electricity and carbon emission information of the target park. The topology building module is configured to: build a campus power grid topology that reflects the actual electrical connection relationships and power flow based on the power consumption node information; The lossless equivalent module is configured to: fairly distribute the additional carbon emissions generated by network losses to each load side according to the topology of the park power grid, and establish an equivalent lossless power node dynamic active power flux matrix; The injection calculation module is configured to: calculate the real-time injection of carbon emission factors into the nodes based on the equivalent lossless power node dynamic active flux matrix and by quantifying the impact of grid ancillary services on grid carbon flow. The dynamic tracking module is configured to track carbon emission flows based on the equivalent lossless power node dynamic active flux matrix and the real-time injected carbon emission factor of the node, and obtain the dynamic carbon emission factor of each node in the target park.
[0067] Furthermore, the specific steps for constructing the equivalent lossless dynamic active power flux matrix of power nodes are as follows: Based on the power grid topology of the park, the power loss of each power consumption node is calculated, and a power grid carbon flow calculation correction model is constructed. The additional carbon emissions generated by network losses are distributed to the load side, the lossy power network is transformed into a lossless power network, and an equivalent lossless power node dynamic active power flux matrix is established.
[0068] Furthermore, the equivalent lossless power node dynamic active power flux matrix is expressed by the formula:
[0069]
[0070] in, The dynamic distribution matrix of the injected power flow represents the active power injected into the network by k nodes with generator input at time t. This is an intermediate matrix used in the calculation process to establish an equivalent lossless dynamic active power flux matrix for power nodes. This is the equivalent lossless dynamic active power flux matrix for power nodes; It is an m+k order row vector.
[0071] Furthermore, the real-time injected carbon emission factor of the node is expressed by the formula:
[0072] in, E represents the carbon emission factor generated at node t, i.e., the carbon emission factor injected into the node in real time; Gi,t E represents the direct carbon emissions of the generator set connected to node i at time t. Oi,t Let t be the carbon emissions injected into node i by the external power grid at time t. Q represents the carbon emissions directly injected into node i when the energy storage device discharges at time t; Gi,t Q represents the power generation of the generator set connected to node i at time t, including renewable energy generation; Oi,t Let t be the net incoming power to node i from the external power grid at time t.
[0073] Furthermore, the carbon emissions directly injected into node i by the energy storage device at time t are as follows: Calculate the carbon emission factor of the power grid in the park at time t; Calculate the total cumulative carbon emissions stored by energy storage devices using the grid carbon emission factor; The average charging emission factor of energy storage devices is calculated by using the total accumulated carbon emissions. The equivalent carbon emission factor of energy storage device discharge is calculated using the average charging emission factor. Using the converted carbon emission factor, calculate the carbon emissions directly injected into node i by the energy storage device at time t.
[0074] Furthermore, the dynamic carbon emission factor of each node in the target industrial park is expressed by the formula:
[0075]
[0076] Among them, E E,t The real-time carbon emission factor vector is injected at time t, which is a column vector formed by the combination of the real-time injected carbon emission factors of each node; The power flow distribution matrix is injected to characterize the connection relationships between all generator units and nodes, as well as the corresponding power generation; E N,t Let be the dynamic carbon emission factor vector of the power grid at time t.
[0077] Example 3 One embodiment of the present invention provides a computer program product, including a computer program that, when executed by a processor, implements the aforementioned dynamic carbon emission factor measurement method taking into account grid ancillary services.
[0078] Example 4 In one embodiment of the present invention, a non-transitory computer-readable storage medium is provided for storing computer instructions, which, when executed by a processor, implement the dynamic carbon emission factor measurement method taking into account grid ancillary services.
[0079] Example 5 One embodiment of the present invention provides an electronic device, including: a processor, a memory, and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to implement the dynamic carbon emission factor measurement method that takes into account grid ancillary services.
[0080] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0081] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0082] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.
Claims
1. A method for measuring dynamic carbon emission factors that takes into account grid ancillary services, characterized in that, include: Obtain electricity and carbon emission information for the target industrial park; Based on power information, construct a campus power grid topology that reflects the actual electrical connection relationships and power flow direction; Based on the aforementioned power grid topology, the additional carbon emissions generated by network losses are fairly distributed to each load side, and an equivalent lossless power node dynamic active power flux matrix is established. Based on the equivalent lossless power node dynamic active power flux matrix and carbon emission information, the real-time injected carbon emission factor of the node is calculated by quantifying the impact of grid ancillary services on grid carbon flow. Based on the equivalent lossless power node dynamic active flux matrix and the real-time injected carbon emission factor of the node, carbon emission flow tracking is performed to obtain the dynamic carbon emission factor of each node in the target park.
2. The method for measuring dynamic carbon emission factors taking into account grid ancillary services as described in claim 1, characterized in that, The specific steps for constructing the equivalent lossless dynamic active power flux matrix of power nodes are as follows: Based on the power grid topology of the park, the power loss of each power consumption node is calculated, and a power grid carbon flow calculation correction model is constructed. The additional carbon emissions generated by network losses are distributed to the load side, the lossy power network is transformed into a lossless power network, and an equivalent lossless power node dynamic active power flux matrix is established.
3. The method for measuring dynamic carbon emission factors taking into account grid ancillary services as described in claim 1, characterized in that, The equivalent lossless power node dynamic active power flux matrix is expressed by the formula: in, The dynamic distribution matrix of the injected power flow represents the active power injected into the network by k nodes with generator input at time t. This is an intermediate matrix used in the calculation process to establish an equivalent lossless dynamic active power flux matrix for power nodes. This is the equivalent lossless dynamic active power flux matrix for power nodes; It is an m+k order row vector.
4. The method for measuring dynamic carbon emission factors taking into account grid ancillary services as described in claim 1, characterized in that, The real-time injected carbon emission factor at the node is expressed by the formula: in, E represents the carbon emission factor generated at node t, i.e., the carbon emission factor injected into the node in real time; Gi,t E represents the direct carbon emissions of the generator set connected to node i at time t. Oi,t Let t be the carbon emissions injected into node i by the external power grid at time t. Q represents the carbon emissions directly injected into node i when the energy storage device discharges at time t; Gi,t Q represents the power generation of the generator unit connected to node i at time t, including renewable energy generation; Oi,t Let t be the net incoming power to node i from the external power grid at time t.
5. The method for measuring dynamic carbon emission factors taking into account grid ancillary services as described in claim 4, characterized in that, The carbon emissions directly injected into node i by the energy storage device at time t are as follows: Calculate the carbon emission factor of the power grid in the park at time t; Calculate the total cumulative carbon emissions stored by energy storage devices using the grid carbon emission factor; The average charging emission factor of energy storage devices is calculated by using the total accumulated carbon emissions. The equivalent carbon emission factor of energy storage device discharge is calculated using the average charging emission factor. Using the converted carbon emission factor, calculate the carbon emissions directly injected into node i by the energy storage device at time t.
6. The method for measuring dynamic carbon emission factors taking into account grid ancillary services as described in claim 1, characterized in that, The dynamic carbon emission factor of each node in the target industrial park is expressed by the formula: Among them, E E,t The real-time carbon emission factor vector is injected at time t, which is a column vector formed by the combination of the real-time injected carbon emission factors of each node; The power flow distribution matrix is injected to characterize the connection relationships between all generator units and nodes, as well as the corresponding power generation; E N,t Let be the dynamic carbon emission factor vector of the power grid at time t.
7. A dynamic carbon emission factor metering system that takes into account grid ancillary services, characterized in that, include: The information acquisition module is configured to acquire electricity and carbon emission information of the target park. The topology building module is configured to: build a campus power grid topology that reflects the actual electrical connections and power flow based on power information; The lossless equivalent module is configured to: fairly distribute the additional carbon emissions generated by network losses to each load side according to the topology of the park power grid, and establish an equivalent lossless power node dynamic active power flux matrix; The injection calculation module is configured to: calculate the real-time injection of carbon emission factors into the nodes based on the equivalent lossless power node dynamic active power flux matrix and carbon emission information, by quantifying the impact of grid ancillary services on grid carbon flow. The dynamic tracking module is configured to track carbon emission flows based on the equivalent lossless power node dynamic active flux matrix and the real-time injected carbon emission factor of the node, and obtain the dynamic carbon emission factor of each node in the target park.
8. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the dynamic carbon emission factor measurement method that takes into account grid ancillary services as described in any one of claims 1-6.
9. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium is used to store computer instructions, which, when executed by a processor, implement a dynamic carbon emission factor measurement method that takes into account grid ancillary services as described in any one of claims 1-6.
10. An electronic device, characterized in that, include: The device includes a processor, a memory, and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to perform a dynamic carbon emission factor measurement method that takes into account grid ancillary services as described in any one of claims 1-6.