Carbon emission factor calculation method, system and equipment based on time-sharing carbon flow and medium

Abstract

The invention relates to the technical field of carbon emission factor calculation, and discloses a time-sharing carbon flow-based carbon emission factor calculation method, system, device and medium, and the method comprises the steps: obtaining the total load power consumption of a user side according to the power data; obtaining the total clean energy consumption electric quantity of the user side according to the power generation side input electric quantity and the residual power on-grid output electric quantity, and obtaining the total power consumption of the load node according to the time sequence load node data; according to the total electricity consumption of the load node, the total clean energy consumption electricity of the user side and the total load electricity consumption of the user side, the clean energy consumption electricity of the load node is obtained, and according to the total electricity consumption of the load node and the clean energy consumption electricity of the load node, the carbon emission of the load node is obtained; and obtaining a dynamic carbon emission factor of the load node in the to-be-monitored time period according to the carbon emission of the load node and the total power consumption of the load node. According to the carbon emission factor calculation method of the time-sharing carbon flow, the accuracy and timeliness of carbon emission calculation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission factor calculation, and in particular to a carbon emission factor calculation method, system, device and medium based on time-sharing carbon flow. Background Art

[0002] With the increasing global attention to carbon emissions, accurate calculation of emission factors is crucial for assessing and controlling carbon emissions. In existing technologies, traditional emission factor calculation methods are often based on static models. Emission factors are determined based on long-term average data according to fixed energy consumption types and production processes. This method is feasible in a relatively stable industrial production environment. It collects a large amount of historical data, conducts statistical analysis on carbon emissions in a specific production process or energy use process, and then obtains a relatively fixed emission factor value for subsequent carbon emission estimates.

[0003] However, this traditional static emission factor calculation method has obvious shortcomings. First, it cannot adapt to the complex and changeable working conditions in actual production. Since factors such as production plans, energy supply types and quality, and equipment operating status often change in modern industrial production processes, these changes will lead to dynamic fluctuations in carbon emissions. For example, in the industrial production process, the types of energy used in different periods are different, and the static emission factor calculation will produce large errors. Secondly, it cannot accurately reflect the impact of time-sharing characteristics on carbon emissions. At different times of the day or month, energy consumption and production loads are different, and carbon emissions are also different, but the static method ignores this time-sharing difference, thereby reducing the accuracy of carbon emission calculations, which is not conducive to accurate carbon management and emission reduction strategy formulation. In the new power system of source-grid-load-storage-charge, the addition of energy storage increases the volatility of energy sources used in different time periods. The traditional static carbon emission factor calculation method can no longer meet the requirements of the new power system. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a method, system, equipment and medium for calculating carbon emission factors based on time-sharing carbon flow. By introducing the time-sharing carbon flow calculation method, the timeliness and accuracy requirements of carbon emission calculations of enterprises in a dynamic environment under the new power system can be met, thereby achieving the technical effect of accurately and efficiently calculating the carbon emission factors.

[0005] In a first aspect, the present invention provides a method for calculating a carbon emission factor based on a time-sharing carbon flow, the method comprising:

[0006] Collect power data of power production enterprises in real time, and extract power data of corresponding time periods from the power data according to the time period to be monitored to obtain time series power data, wherein the time series power data includes time series city power data, time series power generation data, time series energy storage data and time series load node data;

[0007] Processing the time series power data to obtain power data in the monitoring period, and obtaining the total load power consumption of the user side according to the power data, wherein the power data includes the mains input power, the surplus power output power, the power input of the power generation side, the energy storage system discharge power, the energy storage system storage power and the line loss power;

[0008] According to the power input on the power generation side and the power output of the surplus power to the grid, the total clean energy consumption on the user side is obtained, and according to the time series load node data, the total power consumption of the load node is obtained;

[0009] According to the total power consumption of the load node, the total clean energy consumption power of the user side and the total load power consumption of the user side, the clean energy consumption power of the load node is obtained, and according to the total power consumption of the load node and the clean energy consumption power of the load node, the carbon emissions of the load node are obtained;

[0010] According to the carbon emission of the load node and the total electricity consumption of the load node, a dynamic carbon emission factor of the load node in the monitoring period is obtained.

[0011] Furthermore, the step of processing the time series power data to obtain power data in the monitoring period, and obtaining the total load power consumption at the user side according to the power data includes:

[0012] According to the time-series mains power data, the mains power input quantity and the surplus power output quantity are obtained;

[0013] According to the time-series power generation data, the input power of the power generation side is obtained;

[0014] According to the time series energy storage data, the discharge amount of the energy storage system and the stored amount of the energy storage system are obtained;

[0015] According to the time series load node data, the line loss power on the power load side is obtained;

[0016] The total load power consumption on the user side is obtained according to the mains input power, the surplus power output to the grid, the power input on the generating side, the discharge of the energy storage system, the storage power of the energy storage system and the line power loss on the power load side.

[0017] Furthermore, the following formula is used to represent the mains input power:

[0018]

[0019] In the formula, represents the total positive active energy reading of the ith mains electricity meter at time t1, represents the total positive active energy reading of the ith mains electricity meter at time t0, △t represents the monitoring period, represents the transformer multiplier of the ith mains electricity meter, and N represents the total number of mains electricity meters;

[0020] The following formula is used to express the surplus power output quantity:

[0021]

[0022] In the formula, represents the total reverse active energy reading of the i-th mains electricity meter at time t1, represents the total reverse active energy reading of the i-th mains electricity meter at time t0;

[0023] The following formula is used to express the power input on the power generation side:

[0024]

[0025] In the formula, Represents the total positive active energy of the jth power generation meter at time t1

[0026] reading, represents the total positive active energy reading of the jth power generation meter at time t0, represents the transformer multiplier of the jth power generation meter, and M represents the total number of power generation meters;

[0027] The following formula is used to express the discharge capacity of the energy storage system:

[0028]

[0029] In the formula, represents the total positive active energy reading of the kth energy storage meter at time t1, represents the total positive active energy reading of the kth energy storage meter at time t0, represents the transformer multiplier of the kth energy storage meter, and O represents the total number of energy storage meters;

[0030] The following formula is used to express the amount of energy stored in the energy storage system:

[0031]

[0032] In the formula, represents the total reverse active energy reading of the kth energy storage meter at time t1, represents the total reverse active energy reading of the kth energy storage meter at time t0;

[0033] The following formula is used to express the line power loss on the power load side:

[0034]

[0035] In the formula, It represents the total positive active energy reading of the meter at the mth load node of the lth level line at time t1, represents the total positive active energy reading of the meter at the mth load node of the lth level line at time t0, β l，m represents the transformer multiplier of the meter of the mth load node of the lth level line, Q represents the total number of load nodes in the lth level line, and P represents the total number of power lines;

[0036] The following formula is used to express the total load power consumption on the user side:

[0037]

[0038] In the formula, Indicates the total load power consumption on the user side during the △t period.

[0039] Furthermore, the following formula is used to represent the total clean energy consumption at the user side:

[0040]

[0041] The total power consumption of the load node is expressed by the following formula:

[0042]

[0043] In the formula, Represents the total positive active energy reading of the meter at the nth load node at time t1, Represents the total positive active energy reading of the meter at the nth load node at time t0;

[0044] The following formula is used to express the clean energy consumption of the load node:

[0045]

[0046] The carbon emissions of the load node are expressed by the following formula:

[0047]

[0048] Where, EFS represents the carbon emission factor of the mains electricity consumption of the nth load node, EF C represents the clean energy carbon emission factor of the nth load node;

[0049] The dynamic carbon emission factor of the load node during the monitoring period is expressed by the following formula:

[0050]

[0051] In the formula, Represents the dynamic carbon emission factor of the nth load node in the △t period.

[0052] Furthermore, after the step of obtaining the time series power data, the method further includes:

[0053] According to the time to be monitored, extract the power data at the corresponding time from the time series power data to obtain the power data at the time, wherein the power data at the time includes the city power data at the time, the power generation data at the time, the energy storage data at the time and the load node data at the time;

[0054] Processing the power data at the time to obtain power data at the time to be monitored, and obtaining the instantaneous total load on the user side according to the power data, wherein the power data includes the total input power of the mains, the total input power of the power generation side and the total power of the energy storage system;

[0055] Obtaining the clean energy consumption load of the load node according to the load node data at the moment, the total input power of the power generation side and the instantaneous total load of the user side;

[0056] Obtaining the instantaneous carbon emissions of the load node according to the load node data at the moment and the clean energy consumption load of the load node;

[0057] According to the instantaneous carbon emission of the load node and the load node data at the moment, the instantaneous carbon emission factor of the load node at the moment to be monitored is obtained.

[0058] Furthermore, the step of processing the power data at the time to obtain the power data within the time to be monitored, and obtaining the instantaneous total load on the user side according to the power data includes:

[0059] According to the mains power data at the time, the total mains power input power is obtained;

[0060] According to the power generation data at the time, the total input power of the power generation side is obtained;

[0061] According to the energy storage data at the time, the total power of the energy storage system is obtained;

[0062] The total instantaneous load on the user side is obtained according to the total mains input power, the total power input on the power generation side and the total power of the energy storage system.

[0063] Furthermore, the total mains input power is expressed by the following formula:

[0064]

[0065] In the formula, represents the total active power of the ith mains electricity meter at time t, and N represents the total number of mains electricity meters;

[0066] The total input power on the power generation side is expressed by the following formula:

[0067]

[0068] In the formula, represents the total active power of the jth power generation meter at time t;

[0069] The total power of the energy storage system is expressed by the following formula:

[0070]

[0071] In the formula, represents the total active power of the kth energy storage meter at time t;

[0072] The instantaneous total load on the user side is expressed by the following formula:

[0073]

[0074] The following formula is used to express the clean energy consumption load of the load node:

[0075]

[0076] In the formula, Represents the total active power of the meter at the nth load node at time t;

[0077] The instantaneous carbon emissions of the load node are expressed by the following formula:

[0078]

[0079] Where, EF S represents the carbon emission factor of the mains electricity consumption of the nth load node, EF C represents the clean energy carbon emission factor of the nth load node;

[0080] The instantaneous carbon emission factor of the load node at the time to be monitored is expressed by the following formula:

[0081]

[0082] In the formula, Represents the instantaneous carbon emission factor of the nth load node at time t.

[0083] In a second aspect, the present invention provides a carbon emission factor calculation system based on time-sharing carbon flow, the system comprising:

[0084] A data acquisition module is used to collect power data of power production enterprises in real time, and extract power data of the corresponding time period from the power data according to the time period to be monitored to obtain time series power data, wherein the time series power data includes time series city power data, time series power generation data, time series energy storage data and time series load node data;

[0085] A data conversion module is used to process the time-series power data to obtain the power data in the monitoring period, and obtain the total load power consumption of the user side according to the power data, wherein the power data includes the mains input power, the surplus power output power, the power input of the power generation side, the energy storage system discharge, the energy storage system storage and the line loss power;

[0086] According to the power input on the power generation side and the power output of the surplus power to the grid, the total clean energy consumption on the user side is obtained, and according to the time series load node data, the total power consumption of the load node is obtained;

[0087] According to the total power consumption of the load node, the total clean energy consumption power of the user side and the total load power consumption of the user side, the clean energy consumption power of the load node is obtained, and according to the total power consumption of the load node and the clean energy consumption power of the load node, the carbon emissions of the load node are obtained;

[0088] The carbon emission factor calculation module is used to obtain the dynamic carbon emission factor of the load node in the monitoring period according to the carbon emission of the load node and the total power consumption of the load node.

[0089] In a third aspect, an embodiment of the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0090] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0091] The present invention provides a method, system, device and medium for calculating carbon emission factors based on time-sharing carbon flow. The present invention adopts a method for calculating carbon emission factors based on time-sharing carbon flow, which can accurately reflect the differences in emission factors caused by changes in energy consumption and production load in different time periods, and can improve the accuracy and timeliness of carbon emission calculations of enterprises, thereby providing accurate data support for the subsequent carbon emission management and formulation of emission reduction strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0092] Figure 1 is a flow chart of a method for calculating a carbon emission factor based on time-sharing carbon flow in an embodiment of the present invention;

[0093] Figure 2 It is a structural schematic diagram of a carbon emission factor calculation system based on time-sharing carbon flow in an embodiment of the present invention;

[0094] Figure 3 It is a diagram of the internal structure of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0095] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0096] See also Figure 1 The first embodiment of the present invention proposes a method for calculating a carbon emission factor based on a time-sharing carbon flow, which includes steps S10 to S50:

[0097] Step S10, collecting power data of power production enterprises in real time, and extracting power data of corresponding time periods from the power data according to the time period to be monitored, to obtain time series power data, wherein the time series power data includes time series city power data, time series power generation data, time series energy storage data and time series load node data;

[0098] Step S20, processing the time series power data to obtain power data in the monitoring period, and obtaining the total load power consumption of the user side according to the power data, wherein the power data includes the mains input power, the surplus power output power, the power input of the power generation side, the energy storage system discharge power, the energy storage system storage power and the line loss power;

[0099] Step S30, obtaining the total clean energy consumption power at the user side according to the power input at the power generation side and the power output of the surplus power to the grid, and obtaining the total power consumption of the load node according to the time series load node data;

[0100] Step S40, obtaining the clean energy consumption power of the load node according to the total power consumption of the load node, the total clean energy consumption power of the user side and the total load power consumption of the user side, and obtaining the carbon emissions of the load node according to the total power consumption of the load node and the clean energy consumption power of the load node;

[0101] Step S50: obtaining a dynamic carbon emission factor of the load node in the monitoring period according to the carbon emission of the load node and the total electricity consumption of the load node.

[0102] The present invention provides a method for calculating a dynamic carbon emission factor based on time-sharing carbon flow. The reason for using dynamic calculation based on time-sharing is that the current conventional method for calculating carbon emission factors is a static method, and in the new power system, the complex working conditions of enterprises in the production process will cause dynamic fluctuations in carbon emissions. However, the static method ignores the time-sharing differences and cannot accurately calculate the emission factor changes caused by factors such as production plan adjustments, energy supply changes, and equipment operating status changes, resulting in large errors in carbon emission calculations. Since the impact of time-sharing characteristics on carbon emissions in new power systems cannot be fully considered, it is impossible to accurately reflect the emission factor differences caused by changes in energy consumption and production load in different time periods, which is not conducive to the implementation of accurate carbon management and emission reduction strategies. In order to solve this problem, the present invention proposes a method for calculating a dynamic carbon emission factor based on time-sharing carbon flow.

[0103] The present invention first monitors and collects the power data of power production enterprises in the production process in real time. The carbon flow here refers to the process in which carbon elements flow in indirectly in the form of electricity, circulate in the system, and finally flow out in the form of carbon emissions in the entire production system. By deploying high-precision power metering devices at key nodes, power data including various energy nodes and production links are collected. The power metering device in this embodiment is mainly a metering instrument, which is an instrument for measuring, converting and transmitting signals. It converts physical quantities such as electricity, heat, and water into corresponding electrical signals, and completes the measurement and statistics of the measured object by processing and transmitting these signals. The metering meter is usually composed of three parts: a sensor, a signal processor, and a display. The information of the measured physical quantity is obtained by the sensor, and is processed, amplified, filtered, digitized, and other processes by the signal processor, and finally displayed on the display. In this embodiment, metering meters are installed on the mains side, the power generation side, the energy storage side, and the load node side to collect power data in each load node and production link, including electric energy data and power data.

[0104] The collected power data is divided according to the time dimension. For example, a day can be divided into multiple periods, such as peak period, valley period and flat peak period, or according to production shifts and other methods that are more in line with actual production laws. For each period, the characteristics and changing laws of carbon flow in the period are analyzed. In the analysis process, multiple influencing factors are considered, such as the energy supply structure in different periods. It is assumed that during peak periods, more efficient but costly energy may be used, while during valley periods, it may be adjusted to relatively cheap energy with different carbon emission coefficients. At the same time, combined with production load information, the level of production load directly affects the operating efficiency and energy consumption intensity of the equipment, and thus affects carbon emissions. For example, during high-load production, the energy utilization rate of the equipment may increase within a certain range, but at the same time, it may also increase carbon emissions in some links due to full-load operation. By analyzing and quantifying the factors affecting carbon emissions, and based on the laws of conservation of mass and energy, a carbon conversion model with carbon flow as the core is established. The model is mainly used to characterize the relationship between input carbon, conversion carbon and emission carbon in each period.

[0105] Based on the carbon conversion model, it can be obtained that the carbon emissions of each load node of the power production enterprise are generated by the clean energy consumption and the mains power consumption. The mains power consumption needs to be calculated by subtracting the clean energy consumption from the total power consumption of the node, and the clean energy consumption is related to the total load power consumption and the total clean energy consumption on the user side. Therefore, it is necessary to first obtain the power data of the time period to be monitored from the collected power data, and calculate the total load power consumption on the user side based on these time series power data. The calculation steps include:

[0106] According to the time-series mains power data, the mains power input quantity and the surplus power output quantity are obtained;

[0107] According to the time-series power generation data, the input power of the power generation side is obtained;

[0108] According to the time series energy storage data, the discharge amount of the energy storage system and the stored amount of the energy storage system are obtained;

[0109] According to the time series load node data, the line loss power on the power load side is obtained;

[0110] The total load power consumption on the user side is obtained according to the mains input power, the surplus power output to the grid, the power input on the generating side, the discharge of the energy storage system, the storage power of the energy storage system and the line power loss on the power load side.

[0111] In this embodiment, the mains power data includes the total forward active energy reading, the total reverse active energy reading and the total active power of the mains power meter; the power generation data includes the total forward active energy reading and the total active power of the power generation meter of the photovoltaic, wind power and other power generation systems; the energy storage data includes the total forward active energy reading, the total reverse active energy reading and the total active power of the energy storage meter; and the load node data includes the total forward active energy reading and the total active power of the meter of the load node.

[0112] According to the preset time division, the time period in which carbon emissions need to be monitored is selected as the time period to be monitored, and the corresponding time series power data is extracted from the collected power data. For the convenience of subsequent description, in this embodiment, the time period to be monitored is recorded as the △t time period, and its starting times are t0 and t1 respectively.

[0113] In this embodiment, the total load power consumption on the user side is composed of the mains input power, the surplus power output to the grid, the power input on the power generation side, the energy storage system discharge, the energy storage system storage and the power loss of the power load side line. Among them, the mains input power can be calculated by the total positive active power reading of the mains meter. The calculation formula is:

[0114]

[0115] In the formula, represents the total positive active energy reading of the ith mains electricity meter at time t1, represents the total positive active energy reading of the ith mains electricity meter at time t0, △t represents the monitoring period, represents the transformer multiplier of the ith mains electricity meter, and N represents the total number of mains electricity meters.

[0116] The surplus power output to the grid can be calculated by the total reverse active power reading of the mains meter. The calculation formula is:

[0117]

[0118] In the formula, represents the total reverse active energy reading of the i-th mains electricity meter at time t1, Represents the total reverse active energy reading of the i-th mains electricity meter at time t0.

[0119] The input power on the power generation side can be calculated by the total forward active power reading of the power generation meter. The calculation formula is:

[0120]

[0121] In the formula, represents the total positive active energy reading of the jth power generation meter at time t1, represents the total positive active energy reading of the jth power generation meter at time t0, represents the transformer multiplier of the jth power generation meter, and M represents the total number of power generation meters.

[0122] The discharge capacity of the energy storage system can be calculated by the total positive active energy reading of the energy storage meter. The calculation formula is:

[0123]

[0124] In the formula, It represents the total positive active power of the kth energy storage meter at time t1.

[0125] Can read numbers, represents the total positive active energy reading of the kth energy storage meter at time t0, represents the transformer multiplier of the kth energy storage meter, and O represents the total number of energy storage meters.

[0126] The amount of energy stored in the energy storage system can be calculated by the total reverse active energy reading of the energy storage meter. The calculation formula is:

[0127]

[0128] In the formula, It represents the total reverse active power of the kth energy storage meter at time t1.

[0129] Can read numbers, Represents the total reverse active electric energy reading of the kth energy storage meter at time t0.

[0130] The line loss power can be calculated by the total positive active power reading of the load node meter. The calculation formula is:

[0131]

[0132] In the formula, It represents the total positive active energy reading of the meter at the mth load node of the lth level line at time t1, represents the total positive active energy reading of the meter at the mth load node of the lth level line at time t0, β l，m represents the transformer multiplier of the meter at the mth load node of the lth level line, Q represents the total number of load nodes in the lth level line, and P represents the total number of power lines.

[0133] After obtaining the above power data, the total load power consumption on the user side can be calculated by the following formula:

[0134]

[0135] It should be noted here that is the power loss of each level of the line on the power load side. However, due to the short Δt period, in the actual calculation process, Can be ignored.

[0136] For the total clean energy consumption on the user side, in fact, based on the calculation process of the total load power consumption on the user side, the total clean energy consumption on the user side can be obtained. In the above calculation process, the input power on the power generation side is calculated by the total positive active power reading of the power generation meter, and the surplus power grid output power is calculated by the total reverse active power reading of the mains meter. The difference between the input power on the power generation side and the surplus power grid output power is the total clean energy consumption on the user side, which is shown in the following formula:

[0137]

[0138] The total power consumption of load node n during the △t period can be calculated by the total positive active energy reading of the meter at load node n. The calculation formula is:

[0139]

[0140] In the formula, Represents the total positive active energy reading of the meter at the nth load node at time t1, Represents the total positive active energy reading of the meter at the nth load node at time t0.

[0141] Then, the clean energy consumption of load node n in the △t period is calculated by the total power consumption of load node n, the total clean energy consumption of the user side and the total load power consumption of the user side. The calculation formula is:

[0142]

[0143] According to the total power consumption of load node n and the clean energy consumption of load node n, combined with the corresponding preset carbon emission factor, the carbon emissions of load node n in the △t period can be calculated. The calculation formula is:

[0144]

[0145] Where, EF S represents the carbon emission factor of the mains electricity consumption of the nth load node, EF C Represents the clean energy carbon emission factor of the nth load node.

[0146] Finally, according to the carbon emissions and total electricity consumption of load node n in the △t period, the dynamic carbon emission factor of load node n in the △t period is calculated, that is:

[0147]

[0148] The present invention adopts a carbon emission factor calculation method based on time-sharing carbon flow, which fully considers the impact of time-sharing characteristics on carbon emissions in new power systems, so as to accurately reflect the differences in emission factors caused by changes in energy consumption and production load in different time periods, improves the accuracy and timeliness of enterprise carbon emission calculations, and provides accurate data support for the subsequent precise carbon emission management and formulation of emission reduction strategies.

[0149] Furthermore, in a preferred embodiment, in addition to monitoring the carbon emissions of an enterprise in a time-sharing manner, the present invention also provides a method for calculating an instantaneous carbon emission factor, the calculation steps of which include:

[0150] According to the time to be monitored, extract the power data at the corresponding time from the time series power data to obtain the power data at the time, wherein the power data at the time includes the city power data at the time, the power generation data at the time, the energy storage data at the time and the load node data at the time;

[0151] Processing the power data at the time to obtain power data at the time to be monitored, and obtaining the instantaneous total load on the user side according to the power data, wherein the power data includes the total input power of the mains, the total input power of the power generation side and the total power of the energy storage system;

[0152] Obtaining the clean energy consumption load of the load node according to the load node data at the moment, the total input power of the power generation side and the instantaneous total load of the user side;

[0153] Obtaining the instantaneous carbon emissions of the load node according to the load node data at the moment and the clean energy consumption load of the load node;

[0154] According to the instantaneous carbon emission of the load node and the load node data at the moment, the instantaneous carbon emission factor of the load node at the moment to be monitored is obtained.

[0155] In this embodiment, in order to conduct a more detailed analysis of carbon emissions during the monitoring period so as to facilitate the subsequent formulation of more targeted production scheduling strategies, this embodiment calculates the power data at a specific moment in the monitoring period to obtain the instantaneous carbon emission factor of the load node. For the convenience of description, the moment to be monitored is referred to as moment t.

[0156] The difference from the calculation steps of the dynamic carbon emission factor based on time periods is that, since the specific moment cannot be characterized by the difference in electric energy, in this embodiment, the subsequent calculation is performed by the total active power of the meter. Similar to the above steps, the instantaneous total load on the user side at time t is first calculated, and the calculation steps include:

[0157] According to the mains power data at the time, the total mains power input power is obtained;

[0158] According to the power generation data at the time, the total input power of the power generation side is obtained;

[0159] According to the energy storage data at the time, the total power of the energy storage system is obtained;

[0160] The total instantaneous load on the user side is obtained according to the total mains input power, the total power input on the power generation side and the total power of the energy storage system.

[0161] In this embodiment, the total mains input power at time t can be calculated by the total active power of the mains meter, and the calculation formula is:

[0162]

[0163] In the formula, represents the total active power of the ith mains electricity meter at time t, and N represents the total number of mains electricity meters.

[0164] The total input power of the power generation side at time t can be calculated by the total active power of the power generation meter, and the calculation formula is:

[0165]

[0166] In the formula, Represents the total active power of the jth power generation meter at time t.

[0167] The total power of the energy storage system at time t can be calculated by the total active power of the energy storage meter, and the calculation formula is:

[0168]

[0169] In the formula, Represents the total active power of the kth energy storage meter at time t.

[0170] Based on the above three powers, the total instantaneous load on the user side at time t can be expressed as:

[0171]

[0172] The clean energy consumption load of load node n at time t can be calculated by the total active power of the meter in the load node data, the total input power of the power generation side at time t, and the instantaneous total load on the user side. The calculation formula is:

[0173]

[0174] In the formula, Represents the total active power of the meter at the nth load node at time t.

[0175] After obtaining the clean energy consumption load of load node n at time t, the instantaneous carbon emissions of load node n at time t can be calculated based on the total active power of the load node at time t, that is:

[0176]

[0177] Where, EF S represents the carbon emission factor of the mains electricity consumption of the nth load node, EF C Represents the clean energy carbon emission factor of the nth load node.

[0178] Based on the above steps, the instantaneous carbon emission factor of load node n at time t can be expressed as:

[0179]

[0180] Based on the carbon emission factor calculation method based on time-sharing carbon flow, this embodiment can accurately and timely understand the carbon emission situation of the load nodes of the power production enterprise at each moment by calculating the instantaneous carbon emission factor of the load node, thereby providing effective data support for the enterprise to carry out subsequent carbon emission management and formulate energy-saving and emission reduction scheduling strategies.

[0181] This embodiment provides a method for calculating carbon emission factors based on time-sharing carbon flow. The present invention improves the adaptability and flexibility of the entire carbon emission calculation system to the complex electricity consumption environment of enterprises under the new power system by introducing the time-sharing carbon flow calculation method. Whether the enterprise adds new renewable energy power generation equipment, upgrades the energy storage system, or adjusts the production plan and process flow, the calculation method of the present invention can quickly adapt to these changes. By collecting and analyzing data in real time and dynamically updating emission factors, enterprises can still accurately grasp their own carbon emissions when facing complex and changing internal and external environments, and can meet the timeliness and accuracy requirements of enterprises for carbon emission calculations in dynamic environments, providing strong support for the continuous optimization of carbon emission management.

[0182] See also Figure 2 Based on the same inventive concept, a carbon emission factor calculation system based on time-sharing carbon flow is proposed in the second embodiment of the present invention, comprising:

[0183] The data acquisition module 10 is used to collect power data of power production enterprises in real time, and extract the power data of the corresponding time period from the power data according to the time period to be monitored to obtain time series power data, wherein the time series power data includes time series city power data, time series power generation data, time series energy storage data and time series load node data;

[0184] The data conversion module 20 is used to process the time-series power data to obtain the power data in the monitoring period, and obtain the total load power consumption of the user side according to the power data, wherein the power data includes the mains input power, the surplus power output power, the power input of the power generation side, the energy storage system discharge, the energy storage system storage and the line loss power;

[0185] According to the power input on the power generation side and the power output of the surplus power to the grid, the total clean energy consumption on the user side is obtained, and according to the time series load node data, the total power consumption of the load node is obtained;

[0186] According to the total power consumption of the load node, the total clean energy consumption power of the user side and the total load power consumption of the user side, the clean energy consumption power of the load node is obtained, and according to the total power consumption of the load node and the clean energy consumption power of the load node, the carbon emissions of the load node are obtained;

[0187] The carbon emission factor calculation module 30 is used to obtain the dynamic carbon emission factor of the load node in the monitoring period according to the carbon emission of the load node and the total power consumption of the load node.

[0188] The technical features and technical effects of the carbon emission factor calculation system based on time-sharing carbon flow proposed in the embodiment of the present invention are the same as the method proposed in the embodiment of the present invention, and will not be repeated here. Each module in the above-mentioned carbon emission factor calculation system based on time-sharing carbon flow can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0189] In addition, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0190] See also Figure 3 , an internal structure diagram of a computer device in one embodiment, the computer device can specifically be a terminal or a server. The computer device includes a processor, a memory, a network interface, a display and an input device connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a carbon emission factor calculation method based on time-sharing carbon flow is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0191] It can be understood by those skilled in the art that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computing device may include more or fewer components than shown in the figure, or combine certain components, or have the same component arrangement.

[0192] In addition, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented.

[0193] In summary, the embodiments of the present invention propose a method, system, device and medium for calculating carbon emission factors based on time-sharing carbon flow. The method collects power data of power production enterprises in real time, and extracts power data of corresponding time periods from the power data according to the time period to be monitored, so as to obtain time-series power data, wherein the time-series power data includes time-series city power data, time-series power generation data, time-series energy storage data and time-series load node data; the time-series power data is processed to obtain power data within the time period to be monitored, and the total load power consumption on the user side is obtained according to the power data, wherein the power data includes city power input power, surplus power output power, power generation side input power, energy storage side input power and load node data. System discharge, energy storage system storage and line loss; according to the input power of the power generation side and the output power of the surplus power to the grid, the total clean energy consumption of the user side is obtained, and according to the time series load node data, the total power consumption of the load node is obtained; according to the total power consumption of the load node, the total clean energy consumption of the user side and the total load power consumption of the user side, the clean energy consumption of the load node is obtained, and according to the total power consumption of the load node and the clean energy consumption of the load node, the carbon emissions of the load node are obtained; according to the carbon emissions of the load node and the total power consumption of the load node, the dynamic carbon emission factor of the load node in the monitored period is obtained. The present invention adopts a carbon emission factor calculation method based on time-sharing carbon flow, which fully considers the impact of time-sharing characteristics on carbon emissions in new power systems, so that it can accurately reflect the differences in emission factors caused by changes in energy consumption and production loads in different time periods, improve the accuracy and timeliness of enterprise carbon emission calculations, and provide accurate data support for subsequent carbon emission management and emission reduction strategy formulation.

[0194] Each embodiment in this specification is described in a progressive manner, and the same or similar parts of each embodiment can be directly referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. It should be noted that the technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above-mentioned embodiments are not 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.

[0195] The above-mentioned embodiments only express several preferred implementation modes of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in the technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention, and these improvements and substitutions should also be regarded as the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be based on the protection scope of the claims.

Claims

1. A method for calculating carbon emission factors based on time-sharing carbon flow, characterized in that: include: Collect power data of power production enterprises in real time, and extract power data of corresponding time periods from the power data according to the time period to be monitored to obtain time series power data, wherein the time series power data includes time series city power data, time series power generation data, time series energy storage data and time series load node data; Processing the time series power data to obtain power data in the monitoring period, and obtaining the total load power consumption of the user side according to the power data, wherein the power data includes the mains input power, the surplus power output power, the power input of the power generation side, the energy storage system discharge power, the energy storage system storage power and the line loss power; According to the power input on the power generation side and the power output of the surplus power to the grid, the total clean energy consumption on the user side is obtained, and according to the time series load node data, the total power consumption of the load node is obtained; According to the total power consumption of the load node, the total clean energy consumption power of the user side and the total load power consumption of the user side, the clean energy consumption power of the load node is obtained, and according to the total power consumption of the load node and the clean energy consumption power of the load node, the carbon emissions of the load node are obtained; According to the carbon emission of the load node and the total electricity consumption of the load node, a dynamic carbon emission factor of the load node in the monitoring period is obtained.

2. The method for calculating carbon emission factors based on time-sharing carbon flow according to claim 1, characterized in that: The step of processing the time series power data to obtain power data within the monitoring period, and obtaining the total load power consumption at the user side according to the power data includes: According to the time-series mains power data, the mains power input quantity and the surplus power output quantity are obtained; According to the time-series power generation data, the input power of the power generation side is obtained; According to the time series energy storage data, the discharge amount of the energy storage system and the stored amount of the energy storage system are obtained; According to the time series load node data, the line loss power on the power load side is obtained; The total load power consumption on the user side is obtained according to the mains input power, the surplus power output to the grid, the power input on the generating side, the discharge of the energy storage system, the storage power of the energy storage system and the line power loss on the power load side.

3. The method for calculating carbon emission factors based on time-sharing carbon flow according to claim 2 is characterized in that: The following formula is used to express the mains input power: In the formula, represents the total positive active energy reading of the ith mains electricity meter at time t1, represents the total positive active energy reading of the ith mains electricity meter at time t0, △t represents the monitoring period, represents the transformer multiplier of the ith mains electricity meter, and N represents the total number of mains electricity meters; The following formula is used to express the surplus power output quantity: In the formula, represents the total reverse active energy reading of the i-th mains electricity meter at time t1, represents the total reverse active energy reading of the i-th mains electricity meter at time t0; The following formula is used to express the power input on the power generation side: In the formula, represents the total positive active energy reading of the jth power generation meter at time t1, represents the total positive active energy reading of the jth power generation meter at time t0, represents the transformer multiplier of the jth power generation meter, and M represents the total number of power generation meters; The following formula is used to express the discharge capacity of the energy storage system: In the formula, represents the total positive active energy reading of the kth energy storage meter at time t1, represents the total positive active energy reading of the kth energy storage meter at time t0, represents the transformer multiplier of the kth energy storage meter, and O represents the total number of energy storage meters; The following formula is used to express the amount of energy stored in the energy storage system: In the formula, represents the total reverse active energy reading of the kth energy storage meter at time t1, represents the total reverse active energy reading of the kth energy storage meter at time t0; The following formula is used to express the line power loss on the power load side: In the formula, It represents the total positive active energy reading of the meter at the mth load node of the lth level line at time t1, represents the total positive active energy reading of the meter at the mth load node of the lth level line at time t0, β l，m represents the transformer multiplier of the meter of the mth load node of the lth level line, Q represents the total number of load nodes in the lth level line, and P represents the total number of power lines; The following formula is used to express the total load power consumption on the user side: In the formula, Indicates the total load power consumption on the user side during the △t period.

4. The method for calculating carbon emission factors based on time-sharing carbon flow according to claim 3 is characterized in that: The following formula is used to express the total clean energy consumption on the user side: The total power consumption of the load node is expressed by the following formula: In the formula, Represents the total positive active energy reading of the meter at the nth load node at time t1, Represents the total positive active energy reading of the meter at the nth load node at time t0; The following formula is used to express the clean energy consumption of the load node: The carbon emissions of the load node are expressed by the following formula: Where, EF S represents the carbon emission factor of the mains electricity consumption of the nth load node, EF C represents the clean energy carbon emission factor of the nth load node; The dynamic carbon emission factor of the load node during the monitoring period is expressed by the following formula: In the formula, Represents the dynamic carbon emission factor of the nth load node in the △t period.

5. The method for calculating carbon emission factors based on time-sharing carbon flow according to claim 1, characterized in that: After the step of obtaining the time series power data, the method further includes: According to the time to be monitored, extract the power data at the corresponding time from the time series power data to obtain the power data at the time, wherein the power data at the time includes the city power data at the time, the power generation data at the time, the energy storage data at the time and the load node data at the time; Processing the power data at the time to obtain power data at the time to be monitored, and obtaining the instantaneous total load on the user side according to the power data, wherein the power data includes the total input power of the mains, the total input power of the power generation side and the total power of the energy storage system; Obtaining the clean energy consumption load of the load node according to the load node data at the moment, the total input power of the power generation side and the instantaneous total load of the user side; Obtaining the instantaneous carbon emissions of the load node according to the load node data at the moment and the clean energy consumption load of the load node; According to the instantaneous carbon emission of the load node and the load node data at the moment, the instantaneous carbon emission factor of the load node at the moment to be monitored is obtained.

6. The method for calculating carbon emission factors based on time-sharing carbon flow according to claim 5, characterized in that: The step of processing the power data at the time to obtain the power data within the time to be monitored, and obtaining the instantaneous total load on the user side according to the power data includes: According to the mains power data at the time, the total mains power input power is obtained; According to the power generation data at the time, the total input power of the power generation side is obtained; According to the energy storage data at the time, the total power of the energy storage system is obtained; The total instantaneous load on the user side is obtained according to the total mains input power, the total power input on the power generation side and the total power of the energy storage system.

7. The method for calculating carbon emission factors based on time-sharing carbon flow according to claim 6, characterized in that: The total mains input power is expressed by the following formula: In the formula, represents the total active power of the ith mains electricity meter at time t, and N represents the total number of mains electricity meters; The total input power on the power generation side is expressed by the following formula: In the formula, represents the total active power of the jth power generation meter at time t; The total power of the energy storage system is expressed by the following formula: In the formula, represents the total active power of the kth energy storage meter at time t; The instantaneous total load on the user side is expressed by the following formula: The following formula is used to express the clean energy consumption load of the load node: In the formula, Represents the total active power of the meter at the nth load node at time t; The instantaneous carbon emissions of the load node are expressed by the following formula: Where, EF S represents the carbon emission factor of the mains electricity consumption of the nth load node, EF C represents the clean energy carbon emission factor of the nth load node; The instantaneous carbon emission factor of the load node at the time to be monitored is expressed by the following formula: In the formula, Represents the instantaneous carbon emission factor of the nth load node at time t.

8. A carbon emission factor calculation system based on time-sharing carbon flow, characterized in that: include: A data acquisition module is used to collect power data of power production enterprises in real time, and extract power data of the corresponding time period from the power data according to the time period to be monitored to obtain time series power data, wherein the time series power data includes time series city power data, time series power generation data, time series energy storage data and time series load node data; A data conversion module is used to process the time-series power data to obtain the power data in the monitoring period, and obtain the total load power consumption of the user side according to the power data, wherein the power data includes the mains input power, the surplus power output power, the power input of the power generation side, the energy storage system discharge, the energy storage system storage and the line loss power; According to the power input on the power generation side and the power output of the surplus power to the grid, the total clean energy consumption on the user side is obtained, and according to the time series load node data, the total power consumption of the load node is obtained; According to the total power consumption of the load node, the total clean energy consumption power of the user side and the total load power consumption of the user side, the clean energy consumption power of the load node is obtained, and according to the total power consumption of the load node and the clean energy consumption power of the load node, the carbon emissions of the load node are obtained; The carbon emission factor calculation module is used to obtain the dynamic carbon emission factor of the load node in the monitoring period according to the carbon emission of the load node and the total power consumption of the load node.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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