CN117117844A - Power grid carbon emission factor calculation method, system, computer equipment and storage medium - Google Patents
Power grid carbon emission factor calculation method, system, computer equipment and storage medium Download PDFInfo
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- 238000005259 measurement Methods 0.000 claims abstract description 34
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00016—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
Abstract
The application relates to the field of carbon emission measurement of power systems, in particular to a method, a system, equipment and a medium for calculating a carbon emission factor of a power grid, wherein the method comprises the following steps: waveform data of current and voltage of each node of the power grid at the same moment are obtained; calculating power quality parameters based on waveform data of current and voltage of each node of the power grid, obtaining power flow of each node of the power grid, and vectorizing a topological structure of the power grid; the method comprises the steps of converting a power grid mixed structure into a plurality of tree structures with clear power supply links through topology analysis of a vectorized power grid, and realizing power grid carbon footprint measurement; and calculating the carbon emission factor of the whole current power grid based on the power grid carbon footprint measurement result. The real-time and rapid measurement of the carbon footprint of the power grid and the accurate calculation of the carbon emission factor of the power grid can be carried out, and the real-time holographic monitoring of the micro-grid in a wide area or a regional area and the continuous high-precision monitoring of the full-chain carbon emission of the hybrid power grid are realized. The carbon emission of the whole power grid can be accurately and timely calculated, and the metering and tracing problem of electric power carbon emission is solved.
Description
Technical Field
The application relates to the technical field of carbon emission measurement of power systems, in particular to a power grid carbon emission factor calculation method, a system, computer equipment and a readable storage medium.
Background
The centralized wind power and photovoltaic are accessed in a large scale, so that the influence of randomness and fluctuation of the power generation side is aggravated, and the power generation output can not be controlled as required. Meanwhile, on the electricity utilization side, a large amount of distributed new energy is accessed, and the accuracy of electricity load metering and prediction is greatly reduced. The accurate measurement of the carbon emission of the novel hybrid power grid is a key basis for improving the development and utilization level of new energy, guiding users to use energy efficiently and with low carbon and realizing national double carbon targets.
At present, the indirect carbon emission of electric energy is mainly a nuclear algorithm, electric energy metering data is directly multiplied by a fixed carbon emission factor to calculate the indirect carbon emission of electric power, after a new energy source is accessed into a power grid in a large scale, a new energy source can be built at a power generating end, a power transmitting end and a power distributing end, grid connection is realized, so that the green electricity input time and the green electricity input capacity are difficult to determine, parameters such as the electric energy source duty ratio, the actual electric quantity, the waveform distortion degree and the like are randomly changed and are mutually influenced, the carbon emission factor is complex and time-varying to determine, the measurement accuracy is reduced, the uncertainty is high, and the carbon emission factor is calculated according to the historical data of the last month at least in the last year, and the real-time performance is poor. Meanwhile, the topological structure of the power grid is complex, and the uncertainty of the power generation capacity of the new energy source is added, so that the power flow is continuously changed after the new energy source is connected, the complexity of carbon footprint measurement tracing is further increased, and the accurate calculation of the carbon emission factor and the carbon emission of the power grid is very difficult.
Disclosure of Invention
In order to solve the problems in the prior art, the application provides a method and a system for calculating the carbon emission factor of a power grid, which can be used for carrying out real-time and rapid measurement of the carbon footprint of the power grid and accurate calculation of the carbon emission factor of the power grid, thereby realizing real-time holographic monitoring of a wide area or regional micro-grid and continuous real-time high-precision monitoring of the carbon emission of a full chain of a hybrid power grid.
The application provides a power grid carbon emission factor calculation method, which comprises the following steps:
waveform data of current and voltage of each node of the power grid at the same moment are obtained;
calculating power quality parameters based on waveform data of current and voltage of each node of the power grid, obtaining power flow of each node of the power grid, and vectorizing a topological structure of the power grid;
the method comprises the steps of converting a power grid mixed structure into a plurality of tree structures with clear power supply links through topology analysis of a vectorized power grid, and realizing power grid carbon footprint measurement;
and calculating the carbon emission factor of the whole current power grid based on the power grid carbon footprint measurement result.
Further, waveform data of current and voltage of each node of the power grid are obtained through a high-speed low-time-delay bidirectional electric energy metering device and an electric energy quality detection device which are arranged at the node outlet of the power grid power plant and each transformer substation node of the power grid.
Furthermore, the electric energy metering device and the electric energy quality detection device perform clock synchronization through a GPS satellite or a Beidou satellite.
Further, the power quality parameters include magnitudes of voltage, current, power and power, and harmonic, waveform distortion.
Further, the electrical network carbon footprint measurement result comprises carbon emission factors EF of each node of the electrical network n The number D of the power transmission intervals, the waveform distortion THD and the total electric quantity A of the outlet gateway of the power transmission interval of each power plant node.
Further, the method is based on the power grid carbonThe footprint measurement result is calculated to obtain the carbon emission factor EF of the whole power grid ′ The calculation formula of (2) is as follows:
wherein C is n The THD is the waveform distortion degree, the D is the number of transmission intervals and A is the percentage of the nth power plant node mn The total electric quantity displayed by the electric meter at the outlet of the mth transmission interval of the nth power plant is A mn-1 The total electric quantity displayed by the electric meter at the outlet gateway of the upper-level transmission interval of the nth power plant is A mn-1 /A mn Is the loss between nodes.
Further, after the step of calculating the carbon emission factor of the whole power grid based on the power grid carbon footprint measurement result, the method further comprises the following steps:
calculating the carbon emission E of the whole power grid based on the carbon emission factor EF' of the whole power grid:
wherein W is apparent electric energy, n is harmonic frequency, P n The instantaneous power of the nth harmonic.
In order to solve the above prior art problems, the present application further provides a system for calculating a carbon emission factor of a power grid, including:
the acquisition module is used for acquiring waveform data of current and voltage of each node of the power grid at the same moment;
the first calculation module is used for calculating the electric energy quality parameter based on the waveform data of the current and the voltage of each node of the power grid, obtaining the power flow of each node of the power grid and vectorizing the topological structure of the power grid;
the analysis and conversion module is used for converting the power grid mixed structure into a plurality of structures with clear power supply links through topology analysis on the vectorized power grid, so as to realize the measurement of the carbon footprint of the power grid;
and the second calculation module is used for calculating the carbon emission factor of the whole power grid based on the power grid carbon footprint measurement result.
To solve the above-mentioned problems of the prior art, the present application also provides a computer device, including at least one processor, at least one memory, and a data bus; wherein: the processor and the memory complete communication with each other through the data bus; the memory stores a program that is executed by the processor to implement the grid carbon rejection factor calculation method.
The application also provides a computer readable storage medium, wherein the computer readable storage medium is stored with computer readable instructions, and the computer readable instructions realize the steps of the power grid carbon emission factor calculation method when being executed by a processor.
Compared with the prior art, the application has at least the following beneficial effects:
1. the real-time and rapid measurement of the carbon footprint of the power grid and the accurate calculation of the carbon emission factor of the power grid can be carried out, so that the real-time holographic monitoring of the wide-area or regional micro-grid and the continuous real-time high-precision monitoring of the full-chain carbon emission of the hybrid power grid are realized.
2. The carbon emission of the whole power grid can be accurately and timely calculated, so that the metering and tracing problem of the carbon emission of the power is solved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for calculating a carbon removal factor of a power grid according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a multi-root tree structure for vectoring and converting a power grid topology provided by an embodiment of the present application into a power supply link definition;
FIG. 3 is a schematic diagram of a functional module of a power grid carbon rejection factor calculation system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a computer device according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1:
as shown in fig. 1, an embodiment of the present application provides a method for calculating a carbon emission factor of a power grid, including the following steps:
s101, acquiring waveform data of current and voltage of each node of a power grid at the same moment;
s102, calculating an electric energy quality parameter based on waveform data of current and voltage of each node of the power grid, obtaining power flow of each node of the power grid, and vectorizing a topological structure of the power grid;
s103, converting the power grid mixed structure into a multi-tree structure with clear power supply links through topology analysis on the vectorized power grid, and realizing power grid carbon footprint measurement;
and S104, calculating the carbon emission factor of the whole current power grid based on the power grid carbon footprint measurement result.
The waveform data of the current and the voltage of each node of the power grid can be obtained through a high-speed low-time-delay bidirectional electric energy metering device and an electric energy quality detection device which are arranged at the node outlet of the power grid power plant and each node of the power grid substation. The sampling rate of the high-speed low-delay bidirectional electric energy metering device and the electric energy quality detection device is not lower than 6400Hz, the data transmission speed is not lower than 200 times/second, and the data transmission bandwidth is not lower than 10Mb/s.
The electric energy metering device and the electric energy quality detection device perform clock synchronization through GPS satellites or Beidou satellites. The GPS or Beidou satellite timing precision is less than 20ms, and the satellite-losing timing precision is not more than 20us. The high-precision satellite is used for carrying out clock synchronization on the electric energy metering device and the electric energy quality detection device, so that the real-time performance and the synchronism of power grid data acquisition can be improved.
The power quality parameters include voltage, current, power and magnitude of the power, and harmonic and waveform distortion. The power flow of each node is obtained through the electric energy quality parameters, the topological structure of the power grid is vectorized, the complex power grid mixed structure is converted into a plurality of tree structures with clear power supply links through topological analysis (shown in figure 2), and the measurement of the carbon footprint of the power grid can be realized based on the plurality of tree structures with clear power supply links, so that the carbon emission factors EF of each node of the power grid can be obtained from the measurement result of the carbon footprint of the power grid n The number D of the power transmission intervals, the waveform distortion THD and the total electric quantity A of the outlet gateway of the power transmission interval of each power plant node.
Further, the carbon emission factor is calculated based on the power grid carbon footprint measurement result, so that the carbon emission factor EF' of the whole power grid can be accurately obtained, and a specific calculation formula is as follows:
wherein C is n The THD is the waveform distortion degree, the D is the number of transmission intervals and A is the percentage of the nth power plant node mn The total electric quantity displayed by the electric meter at the outlet of the mth transmission interval of the nth power plant is A mn-1 The total electric quantity displayed by the electric meter at the outlet gateway of the upper-level transmission interval of the nth power plant is A mn-1 /A mn Is the loss (including line loss and station loss) between the nodes.
Through each step of the power grid carbon emission factor calculation method, real-time and rapid measurement of power grid carbon footprint and accurate calculation of power grid carbon emission factors can be carried out, so that real-time holographic monitoring of a wide area or regional micro-grid and continuous real-time high-precision monitoring of the full-chain carbon emission of the hybrid power grid are realized.
Further, after the step of calculating the carbon emission factor of the whole power grid based on the power grid carbon footprint measurement result, the power grid carbon emission factor calculating method further includes:
calculating the current carbon emission E of the whole power grid based on the carbon emission factor EF' of the whole power grid:
wherein W is apparent electric energy, n is harmonic frequency, P n The instantaneous power of the nth harmonic. The carbon emission of the whole current power grid can be accurately and timely calculated through the formula, so that the metering and tracing problem of the carbon emission of the power is solved.
Example 2:
as shown in fig. 3, the embodiment of the present application further provides a system for calculating a carbon emission factor of a power grid, where the system specifically includes:
the acquisition module 1 is used for acquiring waveform data of current and voltage of each node of the power grid at the same moment;
the first calculation module 2 is used for calculating the electric energy quality parameter based on the waveform data of the current and the voltage of each node of the power grid, obtaining the power flow of each node of the power grid and vectorizing the topological structure of the power grid;
the analysis and conversion module 3 is used for converting the power grid mixed structure into a plurality of tree structures with clear power supply links through topology analysis on the vectorized power grid, so as to realize the measurement of the carbon footprint of the power grid;
and the second calculation module 4 is used for calculating the carbon emission factor of the whole current power grid based on the power grid carbon footprint measurement result.
The power grid carbon factor calculation system provided by the embodiment of the application can be used for the power grid carbon factor calculation method, realizes the steps of the method and brings corresponding beneficial effects, namely: real-time and rapid measurement of the carbon footprint of the power grid and accurate calculation of the carbon emission factor of the power grid can be carried out, so that real-time holographic monitoring of a wide area or regional micro-grid and continuous real-time high-precision monitoring of the carbon emission of the full chain of the hybrid power grid are realized; the carbon emission of the whole power grid can be accurately and timely calculated, so that the metering and tracing problem of the carbon emission of the power is solved.
Example 3:
referring to fig. 4, an embodiment of the present application further provides a computer device, which includes a memory 5, a processor 6, and a network interface 7 communicatively connected to each other through a data bus. It should be noted that only computer devices having components 5-7 are shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The memory 5 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 5 may be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. In other embodiments, the memory 5 may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like. Of course, the memory 5 may also comprise both an internal memory unit of the computer device and an external memory device. In this embodiment, the memory 5 is generally used for storing an operating system installed in the computer device, various types of application software, and a program for storing a grid carbon factor calculation method, and the memory 5 may also be used for temporarily storing various types of data that have been output or are to be output.
The processor 6 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 6 is typically used to control the overall operation of the computer device. In this embodiment, the processor 6 is configured to execute a program of the grid carbon rejection factor calculation method stored in the memory 5. The network interface 7 may comprise a wireless network interface or a wired network interface, which network interface 7 is typically used for establishing a communication connection between the computer device and other electronic devices.
The readable storage medium stores a computer program, and the readable storage medium stores a program of a grid carbon factor calculation method, and the grid carbon factor calculation method program can be executed by at least one processor, so that the at least one processor executes the program of the grid carbon factor calculation method to realize functions of related system modules.
From the above description of the embodiments, it will be clear to those skilled in the art that the above embodiments may be implemented by means of software plus necessary general hardware platforms, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the method and system according to the embodiments of the present application.
It is apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.
Claims (10)
1. The power grid carbon emission factor calculation method is characterized by comprising the following steps of:
waveform data of current and voltage of each node of the power grid at the same moment are obtained;
calculating power quality parameters based on waveform data of current and voltage of each node of the power grid, obtaining power flow of each node of the power grid, and vectorizing a topological structure of the power grid;
the method comprises the steps of converting a power grid mixed structure into a plurality of tree structures with clear power supply links through topology analysis of a vectorized power grid, and realizing power grid carbon footprint measurement;
and calculating the carbon emission factor of the whole current power grid based on the power grid carbon footprint measurement result.
2. The method for calculating the carbon factor of the power grid according to claim 1, wherein waveform data of current and voltage of each node of the power grid is obtained through a high-speed low-time-delay bidirectional electric energy metering device and an electric energy quality detection device which are arranged at the node outlet of the power grid power plant and each node of the power grid substation.
3. The method for calculating the carbon factor of the power grid according to claim 2, wherein the electric energy metering device and the electric energy quality detecting device perform clock synchronization through a GPS satellite or a Beidou satellite.
4. A method of grid carbon rejection factor calculation according to claim 3, wherein the power quality parameters include magnitudes of voltage, current, power and power, and harmonic, waveform distortion.
5. The method of claim 4, wherein the grid carbon footprint measurement comprises carbon footprint factor EF for each node of the grid n The number D of the power transmission intervals, the waveform distortion THD and the total electric quantity A of the outlet gateway of the power transmission interval of each power plant node.
6. The method for calculating a carbon emission factor of a power grid according to claim 5, wherein the calculation formula for calculating the carbon emission factor EF' of the whole power grid based on the power grid carbon footprint measurement result is as follows:
wherein C is n The THD is the waveform distortion degree, the D is the number of transmission intervals and A is the percentage of the nth power plant node mn The total electric quantity displayed by the electric meter at the outlet of the mth transmission interval of the nth power plant is A mn-1 The total electric quantity displayed by the electric meter at the outlet gateway of the upper-level transmission interval of the nth power plant is A mn-1 /A mn Is the loss between nodes.
7. The method of calculating a carbon footprint factor of a power grid according to claim 6, further comprising, after said step of calculating a carbon footprint factor of the whole power grid based on said power grid carbon footprint measurement:
calculating the carbon emission E of the whole power grid based on the carbon emission factor EF' of the whole power grid:
wherein W is apparent electric energy, n is harmonic frequency, P n The instantaneous power of the nth harmonic.
8. A power grid carbon rejection factor computing system, comprising:
the acquisition module is used for acquiring waveform data of current and voltage of each node of the power grid at the same moment;
the first calculation module is used for calculating the electric energy quality parameter based on the waveform data of the current and the voltage of each node of the power grid, obtaining the power flow of each node of the power grid and vectorizing the topological structure of the power grid;
the analysis and conversion module is used for converting the power grid mixed structure into a plurality of structures with clear power supply links through topology analysis on the vectorized power grid, so as to realize the measurement of the carbon footprint of the power grid;
and the second calculation module is used for calculating the carbon emission factor of the whole power grid based on the power grid carbon footprint measurement result.
9. A computer device comprising at least one processor, at least one memory, and a data bus; wherein: the processor and the memory complete communication with each other through the data bus; the memory stores a program that is executed by the processor to implement the grid carbon factor calculation method as set forth in any one of claims 1 to 7.
10. A computer readable storage medium having stored thereon computer readable instructions which when executed by a processor implement the steps of the grid carbon rejection factor calculation method according to any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311031310.5A CN117117844A (en) | 2023-08-16 | 2023-08-16 | Power grid carbon emission factor calculation method, system, computer equipment and storage medium |
Applications Claiming Priority (1)
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160159239A1 (en) * | 2013-12-02 | 2016-06-09 | State Grid Chongqing Electric Power Co. Electric Power Research Institute | System and Method for Controlling Charging and Discharging of Electric Vehicle |
| CN114865664A (en) * | 2022-05-26 | 2022-08-05 | 东南大学溧阳研究院 | Method for participating in three-phase imbalance and carbon emission treatment of power distribution network through demand response |
| CN115470564A (en) * | 2022-10-08 | 2022-12-13 | 江苏智慧用能低碳技术研究院有限公司 | Public building energy system coordination control method and control assembly thereof |
| CN116231633A (en) * | 2023-01-17 | 2023-06-06 | 广东电网有限责任公司 | Method, device, equipment and storage medium for monitoring carbon emission of power distribution network |
-
2023
- 2023-08-16 CN CN202311031310.5A patent/CN117117844A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160159239A1 (en) * | 2013-12-02 | 2016-06-09 | State Grid Chongqing Electric Power Co. Electric Power Research Institute | System and Method for Controlling Charging and Discharging of Electric Vehicle |
| CN114865664A (en) * | 2022-05-26 | 2022-08-05 | 东南大学溧阳研究院 | Method for participating in three-phase imbalance and carbon emission treatment of power distribution network through demand response |
| CN115470564A (en) * | 2022-10-08 | 2022-12-13 | 江苏智慧用能低碳技术研究院有限公司 | Public building energy system coordination control method and control assembly thereof |
| CN116231633A (en) * | 2023-01-17 | 2023-06-06 | 广东电网有限责任公司 | Method, device, equipment and storage medium for monitoring carbon emission of power distribution network |
Non-Patent Citations (2)
| Title |
|---|
| D. WANG: "《A Precise Carbon Emission Model on Electricity Consumption Side with Carbon Emission Flow Theory》", 《2022 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND CONTROL TECHNOLOGIES》, 7 February 2023 (2023-02-07), pages 1126 - 1131 * |
| 殷平: "《CCHP系统节能减排计算方法研究(1):碳排放计算方法》", 《暖通空调》, 15 February 2016 (2016-02-15), pages 12 - 17 * |
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