CN116993388A - Method and system for confirming dynamic carbon emission factor in electric power system - Google Patents
Method and system for confirming dynamic carbon emission factor in electric power system Download PDFInfo
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Abstract
A method and a system for confirming dynamic carbon emission factors in an electric power system are characterized in that the method comprises the following steps: step 1, monitoring energy activity data acquired by energy metering equipment in an electric power system in real time, and calculating real-time carbon emission in the electric power system according to a pre-generated carbon emission accounting model; wherein the pre-generated carbon emission accounting model is generated based on publicly released regional boundary carbon emission factors of the power industry; and 2, summarizing real-time energy activity data, and calculating the dynamic carbon emission factor according to the real-time energy activity data and the real-time carbon emission. According to the invention, a calculation model is reasonably constructed and the dynamic carbon emission factor is solved, so that the business adjustment of a multifunctional complementary enterprise and the upgrading and reconstruction of a power system are realized, and the instantaneity and the credibility of carbon emission data in the power system are ensured.
Description
Technical Field
The invention relates to the field of power systems, in particular to a method and a system for confirming dynamic carbon emission factors in a power system.
Background
In the enterprise greenhouse gas emission accounting transaction, for carbon dioxide emission generated by electric power, electric quantity is multiplied by a power grid emission factor to calculate at home and abroad, wherein the power grid emission factor is an important calculation parameter, and the calculation of the whole carbon emission of the enterprise is related. The carbon accounting can directly quantify the carbon emission data, and can find out potential emission reduction links and modes by analyzing the carbon emission data of each link, which is important to the realization of a carbon neutralization target and the operation of a carbon trade market. The enterprise carbon emission nuclear calculation is a basic premise of effectively developing various carbon emission reduction works and promoting economic green transformation, and is an important support for actively participating in coping with international negotiations of climate change.
Among the prior art, prior art 1 (CN 114757602 a) discloses a "supply side electric power carbon emission risk early warning method, apparatus and computer device", the method comprising: and acquiring a supply-side electric carbon emission flow balance model and electric data of the plurality of local regional power grids, determining a supply-side electric carbon emission factor of each local regional power grid based on the electric data and the plurality of supply-side electric carbon emission flow balance models, obtaining a supply-side electric carbon emission amount of each local regional power grid according to the supply-side electric carbon emission factor and the electric data, and performing supply-side electric carbon emission risk early warning based on the supply-side electric carbon emission amount.
The disadvantages of the prior art document 1 are that: the carbon emission generated by regional power supply is calculated from a macroscopic view, and a carbon calculation method for enterprises in the process of developing new energy sources is not provided from an enterprise view at present.
Prior art 2 (CN 114782217B) discloses a method and a system for fine accounting of indirect carbon emission of an electric power system, the method comprising: determining node carbon emission factors of the nodes according to the average carbon flow mixing principle of the nodes, wherein the node carbon emission factors are indirect carbon emission amounts corresponding to the consumption unit electric quantity of the nodes; determining the carbon flow density of a line connected with the node according to the node carbon emission factor; and calculating the energy storage carbon emission of the node according to the line carbon flow density. The disadvantages of the prior art document 2 are that: only from the view point of the power grid body, taking a power generation side, a power transmission line, a power transformation line and a power distribution line as a network architecture, calculating the carbon flow of energy in the space-time flow core of the power grid, finally deducing the carbon emission factor of each level of power grid, and calculating the carbon emission of each node of the power grid; meanwhile, the prior art does not consider the influence and accounting mode on the carbon emission in the process of developing new energy by users per se from the enterprise user side.
In addition, because of the difference between regional energy quality and the difference between unit combustion efficiency, the measurement of various energy consumption statistics and carbon emission factors is easy to have larger deviation. Secondly, with the rapid development of distributed energy, the ratio of photovoltaic, energy storage and the like in energy supply is greatly improved, and the traditional power grid carbon emission factor cannot accurately reflect the objective condition of renewable energy power development of enterprises in various areas.
At present, the distribution period of the power grid carbon emission factor calculation data in partial areas is in units of years, which is extremely unfavorable for objectively evaluating the carbon emission reduction effect of enterprises and scientifically promoting the carbon emission reduction work. Even if the real-time power grid carbon emission factors can be acquired, the power grid carbon emission factors cannot be effectively conducted to individuals of power enterprises, the enterprises cannot flexibly adjust the service based on the self energy consumption or supply characteristics, and the fusion development of the electric carbon market is promoted. Therefore, the traditional calculation of the power grid carbon emission factor has seriously affected the power consumption behavior of enterprises and the transaction behavior of the enterprises in the electric power market and the carbon market, and cannot drive the enterprises to flexibly select a production mode with the advantage of clean energy.
In view of the foregoing, there is a need for a new method, system, apparatus and medium for determining dynamic carbon emission factors in electrical power systems.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a novel method, a system, a device and a medium for confirming the dynamic carbon emission factor in the electric power system.
The invention adopts the following technical scheme.
The first aspect of the invention relates to a method for confirming dynamic carbon emission factors in an electric power system, which comprises the following steps: step 1, monitoring energy activity data acquired by energy metering equipment in an electric power system in real time, and calculating real-time carbon emission in the electric power system according to a pre-generated carbon emission accounting model; the carbon emission accounting model is generated based on the boundary carbon emission factors of the electric power industry region which are published in a public way; and 2, summarizing the real-time energy activity data, and calculating a dynamic carbon emission factor according to the real-time energy activity data and the real-time carbon emission.
Preferably, the energy activity data comprise distributed photovoltaic power generation data, energy storage charge and discharge data, energy storage conversion efficiency, regional on-line power and regional off-line power in the power system; the energy activity data are obtained by accumulating and calculating the output data of the related equipment or the related area in a fixed time period.
Preferably, the pre-generated carbon emission accounting model comprises a distributed photovoltaic model, an energy storage model, an area internet model and an area internet model; each carbon emission accounting model comprises a standard carbon emission value of a unit electric quantity.
Preferably, the standard carbon emission value is generated based on publicly released electric power industry regional boundary carbon emission factors; and collecting the boundary carbon emission factor EF of the public power industry region i The method comprises the steps of carrying out a first treatment on the surface of the Extracting historical energy activity data AD from an electric power system according to the corresponding time of the regional boundary carbon emission factor i The method comprises the steps of carrying out a first treatment on the surface of the Direction formula Is substituted into the zone boundary carbon emission factor EF under different typical time periods i Historical energy activity data AD i Obtaining a simultaneous equation to solve the dynamic carbon emission factor EF; where i is the number of each energy metering device and n is the total amount of energy metering devices.
Preferably, the pre-generated carbon emission accounting model is set in units of grid edge areas or electricity enterprises.
Preferably, when the electricity utility is a multi-energy complementary utility, the dynamic carbon emission factor EF may be varied based on the increase or decrease in carbon emissions from other energy sources in the utility.
The second aspect of the invention relates to a monitoring system for dynamic carbon emission factors in an electric power system, the monitoring system being realized by the steps of the method in the first aspect of the invention; the system at least comprises energy metering equipment and an edge acquisition device; the energy metering equipment is arranged in the power system to collect energy activity data in the power system; each edge acquisition device can be connected with a plurality of energy metering devices so as to collect energy activity data; the edge acquisition devices are connected with each other and are used for generating and storing a carbon emission accounting model and calculating a dynamic carbon emission factor.
Preferably, the energy activity data in the detection module comprises distributed photovoltaic power generation data, energy storage charge and discharge data, energy storage conversion efficiency, regional on-line power and regional off-line power in the power system; the energy activity data are obtained by accumulating and calculating the output data of the related equipment or the related area in a fixed time period.
Preferably, in the detection module, the pre-generated carbon emission accounting model comprises a distributed photovoltaic model, an energy storage model, a regional internet surfing model and a regional internet surfing model; each carbon emission accounting model comprises a standard carbon emission value of a unit electric quantity.
Preferably, the standard carbon emission value in the detection module is generated based on publicly released regional boundary carbon emission factors of the electric power industry; in addition, the detection module collects the region boundary carbon emission factor EF of the public power industry i The method comprises the steps of carrying out a first treatment on the surface of the The detection module extracts historical energy activity data AD from the power system according to the corresponding time of the regional boundary carbon emission factor i The method comprises the steps of carrying out a first treatment on the surface of the Detection module direction formulaIs substituted into the zone boundary carbon emission factor EF under different typical time periods i Historical energy activity data AD i Obtaining simultaneous equations for the dynamic carbon emission factor EFSolving; where i is the number of each energy metering device and n is the total amount of energy metering devices.
Preferably, the pre-generated carbon emission accounting model generated by the detection module is set by taking an edge area of a power grid or an electricity utilization enterprise as a unit.
The third aspect of the invention relates to an edge acquisition device, which comprises a processor and a storage medium; the storage medium is used for storing instructions; the processor is operative to perform the steps of the method of the first aspect of the invention in accordance with the instructions.
The fourth aspect of the present invention relates to a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of the method of the first aspect of the present invention.
Compared with the prior art, the method, the system, the device and the medium for confirming the dynamic carbon emission factor in the electric power system can generate a carbon emission accounting model in advance and solve the standard carbon emission value in the model, so that the dynamic carbon emission factor of the electric power system is solved by monitoring and collecting the energy activity data in the electric power system and the publicly released regional boundary carbon emission factor of the electric power industry. According to the invention, according to historical energy activity data in the power system, a calculation model is reasonably constructed and the dynamic carbon emission factor is solved, so that the credibility of the dynamic carbon emission factor is ensured, and therefore, the business adjustment of a multi-energy complementary enterprise and the upgrading and transformation of the power system can be realized based on the dynamic carbon emission factor obtained by solving, and the real-time property and credibility of the carbon emission data in the power system are realized.
The beneficial effects of the invention also include:
1. the method starts from an enterprise user side, purchases power from a power grid end in the energy utilization process of an enterprise, and performs classified calculation of carbon emission from a space-time dimension based on a preset carbon emission boundary model in the charging and discharging process of an enterprise application distributed photovoltaic power generation and energy storage device, collects the data of carbon emission curves of all time periods, and derives a carbon emission factor curve by combining the power consumption of all time periods to form a dynamic carbon emission factor.
2. According to the invention, under the objective condition that the distributed energy is developed by each enterprise in component consideration, and the power grid carbon emission factor can not accurately reflect the renewable energy power development of each enterprise. Based on the carbon emission factor of the power grid, the power generation of the distributed power supply of the enterprise is fused to calculate the carbon emission factor, the carbon emission factor of the power grid can be further compared in real time, the fusion development of the electric carbon market is effectively promoted, and the enterprise is driven to flexibly select a production mode with the advantage of clean energy.
Drawings
FIG. 1 is a flow chart of a method for determining a dynamic carbon emission factor in an electric power system according to the present invention;
FIG. 2 is a schematic diagram illustrating a process for implementing a first embodiment of a method for determining a dynamic carbon emission factor in an electric power system according to the present invention;
FIG. 3 is a schematic diagram illustrating a process for implementing a second embodiment of a method for determining a dynamic carbon emission factor in an electric power system according to the present invention;
FIG. 4 is a schematic diagram showing the construction of a module in an embodiment of a device for confirming a dynamic carbon emission factor in an electric power system according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. The described embodiments of the invention are only some, but not all, embodiments of the invention. All other embodiments of the invention not described herein, which are obtained from the embodiments described herein, should be within the scope of the invention by those of ordinary skill in the art without undue effort based on the spirit of the present invention.
Fig. 1 is a flow chart of a method for determining a dynamic carbon emission factor in an electric power system according to the present invention. As shown in fig. 1, the first aspect of the present invention relates to a method for determining a dynamic carbon emission factor in an electric power system, and the method includes step 1 and step 2.
And step 1, monitoring energy activity data acquired by energy metering equipment in the power system in real time, and calculating the real-time carbon emission in the power system according to a pre-generated carbon emission accounting model. Wherein, the pre-generated carbon emission accounting model is generated based on the publicly released regional boundary carbon emission factor of the electric power industry.
It can be understood that the invention can be applied to an application scenario of executing multiple energy consumption data acquisition of enterprises and performing carbon accounting according to energy activity data at an edge acquisition device, and the edge acquisition device can be realized in a form of hardware and/or software.
Preferably, the pre-generated carbon emission accounting model is set in units of grid edge areas or electricity enterprises.
The enterprise can be a main body of electricity, which can continuously realize electric energy consumption in a certain region range, so that the accurate measurement of the carbon emission of the main body is required in the invention. In the invention, part of enterprises can be multi-energy complementary enterprises. In particular, these enterprises may realize the generation, conversion and consumption of other energy sources in addition to the supply and consumption of electric energy, and may cause carbon emissions during the generation, conversion and consumption of other energy sources. Because other energy sources and electric energy can lead to carbon emission to a certain extent, the carbon emission of the multi-energy complementary enterprises can be greatly reduced in the energy source complementary process. In addition, the carbon emission conditions of different energy sources can be adjusted, so that the relative balance of the total carbon emission of the enterprise is maintained.
The energy metering device may be an energy consumption collection device deployed in a power system. The equipment is more in number and different in model, and the equipment is distributed and deployed on each topological node of the power grid, so that the total metering of all energy consumption under the nodes can be realized according to the deployment positions of each equipment.
Preferably, the energy activity data comprise distributed photovoltaic power generation data, energy storage charge and discharge data, energy storage conversion efficiency, regional on-line power and regional off-line power in the power system; the energy activity data are obtained by accumulating and calculating the output data of the related equipment or the related area in a fixed time period.
In the invention, the energy activity data can be total electric energy consumed or generated by various businesses or various devices of the energy consumption or power generation enterprises within a fixed period of time. For example, if the enterprise is a photovoltaic or wind power generation enterprise, or includes wind power or photovoltaic devices, the amount of electricity generated by the enterprise-installed wind power or distributed photovoltaic power stations that are powered every 15 minutes may be recorded, and these grids may achieve a reduction in the total amount of carbon emissions after grid-connection. In addition, if the enterprise contains various energy storage devices, the electric quantity of charging or discharging realized by the energy storage devices cannot be ignored, and specifically, the electric quantity and conversion efficiency generated by the charging and discharging consumption of the energy storage device installed by the enterprise within 15 minutes can be acquired. In addition, since the enterprise as a whole will obtain energy from the power system when connected to an edge node of the backbone network of the power system, this portion of the electrical energy is referred to herein as off-grid power. On the other hand, the enterprise may also input the electric energy obtained by its own power generation into the power grid in a distributed manner to provide power consumption of other users, so this part of electric energy is called the internet power.
The invention can determine the time interval of data acquisition of the energy activity data according to the model of the energy metering equipment or the fixed acquisition interval time of the energy metering equipment. For example, the invention contemplates SCADA (Supervisory ControlAnd DataAcquisition, electric data collection and monitoring control) systems, etc., and the energy activity data may be collected, aggregated and analyzed according to typical collection time intervals of such systems, e.g., 15 minutes.
For the energy metering equipment, the invention can adopt the energy metering equipment with single-phase and three-phase forward and reverse metering, the energy metering equipment detects the load of the inlet wire end of the enterprise side power grid, the energy consumption activity data of the link end of the distributed photovoltaic and energy storage device and the power grid, and the detected data is transmitted to the edge acquisition device.
Preferably, the pre-generated carbon emission accounting model comprises a distributed photovoltaic model, an energy storage model, an area internet model and an area internet model; each carbon emission accounting model comprises a standard carbon emission value of a unit electric quantity.
After the energy activity data are collected according to the equipment arranged on each important node in the power grid, the energy activity conditions in each whole area of the power grid can be comprehensively obtained. And the invention needs to construct a corresponding model to realize the analysis and the utilization of the energy activity data. Thus, each model in the present invention is implemented based on the zoning of these energy activity data.
Therefore, according to the different types of the energy activity data, various models are correspondingly divided in the invention. For example, a distributed photovoltaic model, an energy storage model, a regional internet model, and a regional internet model may each analyze different energy activity data.
In particular, these carbon emission models may be derived from the regional boundary carbon emission factors of the publicly-published power industry. In particular, these emission models focus on standard carbon emission values for a single unit of electricity in each region. For example, for distributed photovoltaics, the distributed photovoltaic apparatus as a whole translates into a reduced amount of carbon emissions per degree of electricity. The energy storage device may also include carbon emission caused by actually filling 1 degree of electricity or releasing 1 degree of electricity after the electric energy conversion efficiency is counted in the process of charging and discharging the energy storage device. Similarly, the invention also needs to consider the carbon emission amount which can be deducted when 1 degree of electricity is provided in the online electricity quantity of the corresponding area, and the carbon emission amount which needs to be calculated when 1 degree of electricity is consumed in the offline electricity quantity. In other words, the carbon emission model is a module composed of a plurality of devices in a certain type (such as photovoltaic) or a certain area (such as a certain area) of the power grid, and provides a conversion relation between the power supply capacity and the carbon emission amount of the module.
The carbon emission factor of the grid is a greenhouse gas emission coefficient used to characterize the amount of activity produced or consumed per unit. Specifically, the carbon emission factor can be obtained by specifically solving the data such as the carbon content of the unit heat value of coal, the oxidation rate of the coal, the electric quantity ratio of the traditional power generation mode and the like in the power generation process in the region. Generally, the carbon emission factor may be data issued by a national administration periodically, and the power grid industry may issue specific data of the carbon emission factor in the power grid, so that the enterprise may calculate the carbon emission factor of the power grid according to the regional representative measurement data. Therefore, the obtaining manner is not described in detail in the present invention.
In an embodiment of the invention, the supporting edge collecting device sends out the emission factor query data packet through the communication technology, and receives the returned regional power grid carbon emission factor feedback data packet after query, wherein the regional power grid carbon emission factor feedback data packet comprises the latest emission factor of the region where the edge collecting device is located. Specifically, the provincial administrative area code of the area to which the enterprise belongs is recorded on the edge collecting device, and the request and the acquisition of the corresponding emission factor are realized through the area code.
After the regional carbon emission factors in the power grid are obtained, the model can calculate a standard carbon emission value of the unit electric quantity.
Preferably, the standard carbon emission value is generated based on publicly released electric power industry regional boundary carbon emission factors; and collecting the boundary carbon emission factor EF of the public power industry region i The method comprises the steps of carrying out a first treatment on the surface of the Extracting historical energy activity data AD from an electric power system according to the corresponding time of the regional boundary carbon emission factor i The method comprises the steps of carrying out a first treatment on the surface of the Direction formula Is substituted into the zone boundary carbon emission factor EF under different typical time periods i Historical energy activity data AD i Obtaining a simultaneous equation to solve the dynamic carbon emission factor EF; where i is the number of each energy metering device and n is the total amount of energy metering devices.
In particular, when accounting the carbon emission, the multi-energy complementary enterprise inner edge collecting device can correspond to a plurality of energy metering devices, receive different types of energy consumption activity data uploaded by each energy metering device,
and classifying, marking and summarizing the energy consumption activity data according to the energy types.
Preferably, when the electricity utility is a multi-energy complementary utility, the dynamic carbon emission factor EF may be varied based on the increase or decrease in carbon emissions from other energy sources in the utility.
It is easy to think that if the enterprise in the invention is a multi-energy complementary enterprise, that is, the enterprise may have other energy sources generated and consumed simultaneously besides the generation and consumption of electric energy, and the energy sources can realize the environmental protection capability of the enterprise or the situation that the enterprise needs to perform environmental protection compensation through the carbon emission quantity issued by other industries, so that the complementation of the multi-energy carbon emission can be realized inside the enterprise according to autonomous regulation. For example, if the overall carbon emissions of the business during the process of providing another energy source is less than the average carbon emissions of the business, it may autonomously adjust the dynamic carbon emissions factor within the business with respect to the electrical energy, raising the dynamic carbon emissions factor to some extent.
And 2, summarizing the real-time energy activity data, and calculating a dynamic carbon emission factor according to the real-time energy activity data and the real-time carbon emission.
As described above, the method may calculate the total dynamic carbon emission factor based on the above data after the standard carbon emission value is obtained. Since the energy activity data is collected in 15 minutes, the dynamic carbon emission factor can also be calculated at 15 minute intervals. Of course, the method also supports calculation according to other time periods such as the day or the year, or the method combines a plurality of 15 minutes of results to calculate.
Here, it is possible to first of all based on the standard carbon emission value EF i For energy activity data AD i Weighting, and then summing the weighted data to obtain the total carbon emission at the current timeSubsequently, the first and second heat exchangers are connected,the energy activity data may also be summed to obtain a total energy consumption in the grid. Dividing the total carbon emissions GHG by the total energy consumption>The dynamic carbon emission factor at the current time can be obtained.
It should be noted that the dynamic carbon emission factor can be used to construct an enterprise carbon emission evaluation system based on the dynamic carbon emission factor, so as to tell the enterprise how to accurately reduce emission, guide the enterprise to adapt to the clean energy power generation characteristic, and improve the energy consumption and utilization efficiency. According to the dynamic carbon emission factors, enterprises can reasonably arrange production time periods, and for some enterprises with high energy consumption, the integrated production is carried out in the time periods with lower dynamic carbon emission factors through flexible adjustment in the production process, so that the whole carbon emission of the enterprises can be effectively reduced. Therefore, the method can also adjust the production program of the enterprise based on the dynamic carbon emission factor, thereby realizing the reduction of energy consumption.
Example 1
Fig. 2 is a schematic diagram of an implementation process of a first embodiment of a method for determining a dynamic carbon emission factor in an electric power system according to the present invention. As shown in fig. 2, in an embodiment of the present invention, the method for calculating the carbon emission factor of the multi-energy complementary enterprise specifically includes the following steps:
step S1: and acquiring the self carbon emission accounting boundary model information of the acquisition device.
Step S201: and obtaining 15-minute distributed photovoltaic power generation.
Step S202: and acquiring the charge quantity of the energy storage device for 15 minutes.
Step S203: and acquiring the storage capacity of the energy storage device for 15 minutes.
Step S204: and obtaining the online electric quantity for 15 minutes.
Step S205: and acquiring the power-off quantity of the network after 15 minutes.
Step S3: and acquiring the regional power grid carbon emission factor of the enterprise connected with the acquisition device.
Specifically, the edge collecting device sends an emission factor query data packet through a communication technology, and receives a regional power grid carbon emission factor feedback data packet returned after query, wherein the regional power grid carbon emission factor feedback data packet comprises the latest emission factors EFi (i=1, 2,3,4, 5) of the region where the edge collecting device is located, and the latest emission factors EF1, EF2, EF3 and EF4 are manually set by a parameter setting module of the edge collecting device. The emission factor EF1 is a distributed photovoltaic power generation carbon emission factor obtained by estimating regional representative measurement data, the emission factor EF2 is an energy storage and charge conversion consumption carbon emission factor obtained by estimating regional representative measurement data, the emission factor EF3 is an energy storage and discharge conversion consumption carbon emission factor obtained by estimating regional representative measurement data, the emission factor EF4 is an internet-surfing counteraction carbon emission factor obtained by estimating regional representative measurement data, and the emission factor EF5 is a parameter issued by the national government administration, which is not limited.
The second aspect of the invention relates to a monitoring system for dynamic carbon emission factors in an electric power system, the monitoring system being realized by the steps of the method in the first aspect of the invention; the system at least comprises energy metering equipment and an edge acquisition device; the energy metering equipment is arranged in the power system to collect energy activity data in the power system; each edge acquisition device can be connected with a plurality of energy metering devices so as to collect energy activity data; the edge acquisition devices are connected with each other and are used for generating and storing a carbon emission accounting model and calculating a dynamic carbon emission factor.
Preferably, the energy activity data in the detection module comprises distributed photovoltaic power generation data, energy storage charge and discharge data, energy storage conversion efficiency, regional on-line power and regional off-line power in the power system; the energy activity data are obtained by accumulating and calculating the output data of the related equipment or the related area in a fixed time period.
Preferably, in the detection module, the pre-generated carbon emission accounting model comprises a distributed photovoltaic model, an energy storage model, a regional internet surfing model and a regional internet surfing model; each carbon emission accounting model comprises a standard carbon emission value of a unit electric quantity.
Preferably, the detection is performedThe standard carbon emission value in the module is generated based on the publicly released regional boundary carbon emission factor of the power industry; in addition, the detection module collects the region boundary carbon emission factor EF of the public power industry i The method comprises the steps of carrying out a first treatment on the surface of the The detection module extracts historical energy activity data AD from the power system according to the corresponding time of the regional boundary carbon emission factor i The method comprises the steps of carrying out a first treatment on the surface of the Detection module direction formulaIs substituted into the zone boundary carbon emission factor EF under different typical time periods i Historical energy activity data AD i Obtaining a simultaneous equation to solve the dynamic carbon emission factor EF; where i is the number of each energy metering device and n is the total amount of energy metering devices.
Preferably, the pre-generated carbon emission accounting model generated by the detection module is set by taking an edge area of a power grid or an electricity utilization enterprise as a unit.
Example two
Fig. 3 is a schematic diagram illustrating an implementation process of a second embodiment of a method for determining a dynamic carbon emission factor in an electric power system according to the present invention. As shown in fig. 3, the method can calculate the concrete implementation mode of 15 minutes carbon emission according to the 15 minutes energy consumption data acquired by the acquisition device and combining the carbon calculation boundary model of the acquisition device and the regional power grid carbon emission factor.
Step S1: and acquiring the self carbon emission accounting boundary model information of the acquisition device.
Step S2: and acquiring energy consumption activity data metered by various energy metering devices connected to the acquisition device.
Step S3: and acquiring the regional power grid carbon emission factor of the enterprise connected with the acquisition device.
Step S401: accounting the carbon emission (+)' of the photovoltaic power generation for 15 minutes.
Step S402: accounting for 15 minutes, energy storage and charging conversion consumes carbon (+).
Step S403: accounting for 15 minutes to convert the energy storage discharge into consumed carbon (+).
Step S404: accounting 15 minutes of surfing electricity counteracts carbon emission (-).
Step S405: accounting the carbon emission of the power of the net under 15 minutes (+).
Step S5: and deducing a dynamic carbon emission factor according to the carbon emission calculated by the acquisition device core and the acquired energy consumption data.
Specifically, the edge collecting device obtains a regional power grid carbon emission factor feedback data packet EFi (i=1, 2,3,4, 5) through step S3, performs carbon emission amount accounting in a one-to-one correspondence manner in step S401, step S402, step S403, step S404, step S405 and EFi (i=1, 2,3,4, 5), and step S5 sums up the carbon emission amounts A0 calculated by the above steps, and sums up the energy consumption activity data E0 measured by the energy metering device in step S2, and derives a 15-minute dynamic carbon emission factor by using the formula ef=a0/E0.
The third aspect of the invention relates to an edge acquisition device, which comprises a processor and a storage medium; the storage medium is used for storing instructions; the processor is operative to perform the steps of the method of the first aspect of the invention in accordance with the instructions.
Example III
FIG. 4 is a schematic diagram showing the construction of a module in an embodiment of a device for confirming a dynamic carbon emission factor in an electric power system according to the present invention. As shown in fig. 4, in this embodiment, the carbon emission measurement edge collection device 1 includes: the parameter setting module 100 is used for inquiring and setting the enterprise carbon emission accounting boundary model information; a carbon emission accounting boundary model 101 for delivering the latest regional grid carbon emission factor to an edge calculation module 103; the uplink communication module 102 is configured to send the latest regional power grid carbon emission factor query data packet to the carbon emission monitoring platform 0, receive a regional power grid carbon emission factor feedback data packet sent by the carbon emission monitoring platform 0, and transmit the regional power grid carbon emission factor feedback data packet to the carbon emission accounting boundary model 101 through the edge calculation module 103 for updating; the edge calculation module 103 is used for acquiring the regional power grid carbon emission factor of the carbon emission accounting boundary model 101, acquiring the energy consumption activity data of the data storage module 104, and determining carbon emission metering data according to the energy consumption activity data and the regional power grid carbon emission factor; a data storage module 104, configured to obtain energy consumption activity data of at least one energy metering device 2; the local communication module 105 is configured to receive the energy consumption activity data fed back by any energy metering device 2.
The local communication module 105 provides various types of electrical I/O interfaces, including but not limited to: carrier interface, WISUN interface, loRa interface, 485 interface.
The uplink communication module 102 is in communication connection with the carbon emission monitoring platform through an Ethernet data interface/4G communication interface, on one hand, the uplink communication module 102 packages and forwards the 15-minute carbon emission and dynamic carbon emission factor data calculated by the edge calculation module 103 according to the data format required by the platform; on the other hand, the uplink communication module 102 also transmits the 15-minute energy consumption activity data obtained by the data storage module 104 to the local energy management system, and provides real-time status data of the energy metering device to realize load monitoring.
Specifically, in accounting for carbon emissions, the local communication module 105 receives 15 minute energy consumption activity data AD uploaded by different energy metering devices and transmits the received 15 minute energy consumption activity data AD to the data storage module 104. The edge calculation module 103 reads the data of the data storage module, and sorts, marks and summarizes the energy consumption activity data AD according to the energy type, for example, marks the energy consumption activity data of the ith supply energy in the jth energy metering device as adi.j, and marks the energy consumption activity data of the ith supply energy in the kth energy metering device as adi.k. Meanwhile, the edge calculation module 103 collects ADi according to the energy consumption activity data in the j-th and k-th energy metering devices of the ith energy supply, and calculates the carbon emission of all the energy metering devices connected to the edge collection device 1 with the corresponding emission factor EFi. The edge calculation module 103 transmits the calculated carbon emissions to the data storage module, which sums up the total 15 minute carbon emissions A0 and calculates a 15 minute dynamic carbon emission factor in combination with the 15 minute total energy consumption activity data E0.
After obtaining the 15-minute carbon emission and dynamic carbon emission factor data, the uplink communication module 102 also packages and forwards the carbon emission data periodically every 15 minutes, and realizes the carbon emission curve display of the carbon emission monitoring platform on the multifunctional complementary enterprises by forwarding the periodic data every 15 minutes, so as to monitor the dynamic carbon emission of the enterprises in real time.
Example IV
The device for confirming the dynamic carbon emission factor in the electric power system can further comprise other modules on the basis of the third embodiment. For example, a communication protocol conversion module is configured to receive the energy consumption activity data uploaded by the local communication module, perform communication protocol type conversion on the energy consumption activity data based on a preset protocol format, and send the energy consumption activity data in the preset protocol format to the data storage module; the data encryption module is used for respectively carrying out data encryption processing on the energy consumption activity data and the carbon emission metering data and transmitting the obtained encrypted activity data and the obtained encrypted metering data to the uplink communication module; and the parameter setting module is used for acquiring and displaying the energy consumption activity classification data and the carbon emission data calculated and output by the edge metering module. It can be understood that, in order to implement each function in the method provided in the embodiment of the present application, the edge collection device includes a hardware structure and/or a software module that perform each function. Those of skill in the art will readily appreciate that the various illustrative algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The embodiment of the application can divide the functional modules of the edge collecting device according to the method example, for example, each functional module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present application, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.
The apparatus includes at least one processor, a bus system, and at least one communication interface. The processor may be a central processing unit (Central Processing Unit, CPU), or may be replaced by a field programmable gate array (Field Programmable Gate Array, FPGA), application-specific integrated circuit (ASIC), or other hardware, or the FPGA or other hardware may be used together with the CPU as a processor.
The memory may be, but is not limited to, read-only memory (ROM) or other type of static storage device that can store static information and instructions, random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, but may also be electrically erasable programmable read-only memory (EEPROM), compact disc-read only memory (compact disc read-only memory) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be stand alone and coupled to the processor via a bus. The memory may also be integrated with the processor.
The hard disk may be a mechanical disk or a solid state disk (Solid State Drive, SSD), etc. The interface card may be a Host Bus Adapter (HBA), a redundant array of independent disks card (Redundant Array of Independent Disks, RID), an Expander card (Expander), or a network interface controller (Network Interface Controller, NIC), which is not limited by the embodiments of the present application. The interface card in the hard disk module is communicated with the hard disk. The storage node communicates with an interface card of the hard disk module to access the hard disk in the hard disk module.
The interface of the hard disk may be a serial attached small computer system interface (Serial Attached Small Computer System Interface, SAS), serial advanced technology attachment (Serial Advanced Technology Attachment, SATA), or high speed serial computer expansion bus standard (Peripheral Component Interconnect express, PCIe), etc.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, simply DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means from one website, computer, server, or data center. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices including one or more servers, data centers, etc. that can be integrated with the media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The fourth aspect of the present invention relates to a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the method of the first aspect of the present invention.
Computer program instructions for carrying out operations of the present invention may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for computer readable program instructions, which can execute the computer readable program instructions.
Compared with the prior art, the method, the system, the device and the medium for confirming the dynamic carbon emission factor in the electric power system can generate a carbon emission accounting model in advance and solve the standard carbon emission value in the model, so that the dynamic carbon emission factor of the electric power system is solved by monitoring and collecting the energy activity data in the electric power system and the publicly released regional boundary carbon emission factor of the electric power industry. According to the invention, according to historical energy activity data in the power system, a calculation model is reasonably constructed and the dynamic carbon emission factor is solved, so that the credibility of the dynamic carbon emission factor is ensured, and therefore, the business adjustment of a multi-energy complementary enterprise and the upgrading and transformation of the power system can be realized based on the dynamic carbon emission factor obtained by solving, and the real-time property and credibility of the carbon emission data in the power system are realized.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (13)
1. A method for determining a dynamic carbon emission factor in an electrical power system, the method comprising the steps of:
monitoring energy activity data acquired by energy metering equipment in an electric power system in real time, and calculating real-time carbon emission in the electric power system according to a pre-generated carbon emission accounting model;
wherein the pre-generated carbon emission accounting model is generated based on publicly released regional boundary carbon emission factors of the power industry;
summarizing real-time energy activity data, and calculating the dynamic carbon emission factor according to the real-time energy activity data and the real-time carbon emission.
2. A method for determining a dynamic carbon emission factor in an electrical power system as recited in claim 1, wherein:
the energy activity data comprise distributed photovoltaic power generation data, energy storage charge and discharge data, energy storage conversion efficiency, regional on-line power and regional off-line power in the power system;
the energy activity data are obtained by accumulating and calculating the output data of the related equipment or the related area in a fixed time period.
3. A method for determining a dynamic carbon emission factor in an electrical power system as recited in claim 2, wherein:
The pre-generated carbon emission accounting model comprises a distributed photovoltaic model, an energy storage model, an area internet model and an area internet model;
each of the carbon emission accounting models includes a standard carbon emission value for a unit of electricity.
4. A method for validating a dynamic carbon emission factor in an electrical power system as defined in claim 3, wherein:
the standard carbon emission value is generated based on the publicly released regional boundary carbon emission factor of the electric power industry; and, in addition, the processing unit,
collecting the carbon emission factor EF of the regional boundary of the power industry of the public release i ；
Extracting historical energy activity data AD from the power system according to the corresponding time of the regional boundary carbon emission factor i ；
Direction formulaIs substituted into the region boundary carbon emission factor EF under different typical time periods i The historical energy activity data AD i Obtaining a simultaneous equation to solve the dynamic carbon emission factor EF;
wherein i is the number of each energy metering device, and n is the total amount of the energy metering devices.
5. The method for determining a dynamic carbon emission factor in an electrical power system as recited in claim 4, wherein:
the pre-generated carbon emission accounting model is set by taking an edge area of a power grid or an electricity utilization enterprise as a unit.
6. A method for validating a dynamic carbon emission factor in an electrical power system as defined in claim 5, wherein:
when the electricity utility is a multi-energy complementary utility, the dynamic carbon emission factor EF may be varied based on the increase or decrease in carbon emissions of other energy sources in the utility.
7. A device for determining a dynamic carbon emission factor in an electrical power system, comprising:
the detection module is used for monitoring the energy activity data acquired by the energy metering equipment in the power system in real time and calculating the real-time carbon emission in the power system according to a pre-generated carbon emission accounting model; wherein the pre-generated carbon emission accounting model is generated based on publicly released regional boundary carbon emission factors of the power industry;
and the calculation module is used for summarizing the real-time energy activity data and calculating the dynamic carbon emission factor according to the real-time energy activity data and the real-time carbon emission.
8. The device for determining a dynamic carbon emission factor in an electrical power system as recited in claim 7, wherein:
the energy activity data in the detection module comprise distributed photovoltaic power generation data, energy storage charge and discharge data, energy storage conversion efficiency, regional on-line power and regional off-line power in the power system; the energy activity data are obtained by accumulating and calculating the output data of the related equipment or the related area in a fixed time period.
9. A method for validating a dynamic carbon emission factor in an electrical power system as recited in claim 8, wherein:
in the detection module, a pre-generated carbon emission accounting model comprises a distributed photovoltaic model, an energy storage model, a regional internet surfing model and a regional internet surfing model; each of the carbon emission accounting models includes a standard carbon emission value for a unit of electricity.
10. A method for determining a dynamic carbon emission factor in an electrical power system as recited in claim 9, wherein:
the standard carbon emission value in the detection module is generated based on the publicly released electric power industry regional boundary carbon emission factor; and, in addition, the processing unit,
the detection module acquires the publicly released regional boundary carbon emission factor EF of the power industry i ；
The detection module extracts historical energy activity data ADi from the power system according to the corresponding time of the regional boundary carbon emission factor;
the detection module outputs a formulaIs substituted into the region boundary carbon emission factor EF under different typical time periods i The historical energy activity data AD i Obtaining a simultaneous equation to solve the dynamic carbon emission factor EF; wherein i is the number of each energy metering device, and n is the total amount of the energy metering devices.
11. A method for validating a dynamic carbon emission factor in an electrical power system as recited in claim 10, wherein:
the pre-generated carbon emission accounting model generated by the detection module is set by taking an edge area of a power grid or an electricity utilization enterprise as a unit.
12. An edge acquisition device comprises a processor and a storage medium; the method is characterized in that:
the storage medium is used for storing instructions;
the processor being operative according to the instructions to perform the steps of the method according to any one of claims 1-6.
13. Computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the method according to any of claims 1-6.
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| CN117408719A (en) * | 2023-12-15 | 2024-01-16 | 江苏中天互联科技有限公司 | Carbon emission factor determining method and device and electronic equipment |
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| CN117371622A (en) * | 2023-12-06 | 2024-01-09 | 国网湖北省电力有限公司经济技术研究院 | Prediction method, system and equipment for long-term dynamic carbon emission factor in region |
| CN117408719A (en) * | 2023-12-15 | 2024-01-16 | 江苏中天互联科技有限公司 | Carbon emission factor determining method and device and electronic equipment |
| CN117408719B (en) * | 2023-12-15 | 2024-03-26 | 江苏中天互联科技有限公司 | Carbon emission factor determining method and device and electronic equipment |
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