Novel electric power carbon monitoring system

Abstract

The invention discloses a novel electric power carbon monitoring system. The system comprises a carbon flow simulation module, a carbon metering simulation monitoring module, a carbon monitoring device test module and an intelligent service module, one end of the carbon metering simulation monitoring module and one end of the carbon monitoring device testing module are both in communication connection with the carbon flow simulation module, and the other end of the carbon metering simulation monitoring module and the other end of the carbon monitoring device testing module are both in communication connection with the intelligent service module. And finally, the carbon emission of each node is monitored in real time through the intelligent service platform. The carbon metering simulation monitoring module is additionally provided with a carbon monitoring related device, the carbon emission of each gateway node arranged in the simulation system is monitored, the whole-link carbon emission data of the power system is monitored, and the carbon monitoring device testing module is provided with an automatic testing system, so that the data reliability of the carbon monitoring related device is ensured; and finally, the carbon emission of each node is monitored in real time through the intelligent service platform.

Description

Technical Field

[0001] The present invention belongs to the field of power system carbon monitoring, and in particular relates to a novel power carbon monitoring system. Background Art

[0002] At present, the power industry is one of the main sources of carbon emissions. Therefore, accurate carbon measurement of carbon emissions in all links of the power system has become one of the key scientific issues of the power system under the background of low-carbon development. Accurate and comprehensive carbon measurement and analysis methods for power systems are key technologies for quantifying power-related carbon emission data, clarifying the current status and trend of carbon emissions in the power industry, exploring the carbon emission reduction potential of all links in the power system, guiding power users to interact and reduce carbon emissions, and supporting the construction of the power-carbon coupling market. In order to accurately measure carbon emissions, the reliability and accuracy of the corresponding carbon monitoring equipment play a vital role. In order to improve the quality of carbon monitoring equipment and ensure its reliability, it is necessary to test the carbon monitoring equipment, but the diversity of carbon monitoring equipment and the numerous test items greatly reduce the test efficiency. In addition, in order to simulate a more realistic test environment and further understand factors such as carbon emissions generated in different periods and spaces of the power system, it is necessary to build a carbon measurement and test platform that can not only efficiently test carbon monitoring equipment in the power system, but also simulate carbon monitoring in various links of the new power system. The simulation data is monitored through the management platform to provide data support for governments and enterprises to formulate energy-saving and carbon reduction strategies.

[0003] In view of the characteristics of carbon emissions in different industries, China is establishing carbon emission measurement platforms for various industries. The main functions of the country's first integrated service platform for electricity carbon measurement and carbon verification include carbon measurement, carbon comparison and trusted certification, fuel management, peak-shaving operation, low-carbon dispatch, and carbon verification and supervision. The platform mainly connects to power generation companies to monitor the carbon measurement data of power generation units, providing strong support for the low-carbon dispatch, peak-shaving operation, and power supply of the power grid, and facilitating the low-carbon transformation of the power industry. However, this platform mainly monitors source-side carbon emission data, and cannot monitor carbon emission data in all aspects of the power system, and cannot test the functions and performance of some carbon monitoring devices. Summary of the invention

[0004] (I) Purpose of the invention

[0005] The purpose of the present invention is to provide a new type of electric power carbon monitoring system. By setting up a carbon metering simulation monitoring module and a carbon monitoring device testing module, while ensuring the ability to monitor carbon emission data in all aspects of the power system, it is also possible to test the functions and performance of the carbon monitoring device, thereby ensuring the data reliability of carbon monitoring related devices and providing a data basis for the construction of a carbon emission smart service platform.

[0006] (II) Technical solution

[0007] To solve the above problems, the present invention provides a novel electric power carbon monitoring system, comprising: a carbon flow simulation module, a carbon metering simulation monitoring module, a carbon monitoring device test module and a smart service module;

[0008] One end of the carbon metering simulation monitoring module and the carbon monitoring device test module are both in communication connection with the carbon flow simulation module, the carbon flow simulation module provides the flow data of each node of the power system and transmits it to the carbon metering simulation monitoring module and the carbon monitoring device test module respectively, the carbon metering simulation monitoring module processes the received flow data to obtain a first node carbon emission data set, and the carbon monitoring device test module processes the received flow data to obtain a second node carbon emission data set;

[0009] The other ends of the carbon metering simulation monitoring module and the carbon monitoring device testing module are both communicatively connected to the smart service module. The carbon metering simulation monitoring module directly uploads the data in the carbon emission data set of the first node to the smart service platform. The carbon monitoring device testing module first performs internal testing and verification on the data in the carbon emission data set of the second node, and then uploads the carbon emission data after the test to the smart service platform. Finally, the carbon emissions of each node are monitored in real time through the smart service platform.

[0010] Furthermore, the carbon metering simulation monitoring module includes a simulation unit, an Internet of Things collection unit and an edge transmission unit, and the Internet of Things collection unit is electrically connected to the simulation unit and the edge transmission unit respectively.

[0011] Furthermore, the carbon metering simulation monitoring module processes the received flow data to obtain a first node carbon emission data set including:

[0012] The simulation unit builds a simulation model according to the received power flow data, and sends the output data of the simulation model to the IoT collection unit;

[0013] The IoT collection unit analyzes and processes the output data to generate a first carbon collection data set, and transmits the first carbon collection data set to the edge transmission unit;

[0014] The edge transmission unit calculates the first carbon collection data set after performing protocol matching with the IoT collection unit to obtain a first node carbon emission data set.

[0015] Furthermore, the carbon monitoring device test module comprises: an automatic test unit, a data acquisition unit and a device under test unit, and the data acquisition unit is electrically connected to the automatic test unit and the device under test unit respectively.

[0016] Furthermore, the automatic test unit includes various automatic test cases, and the automatic test unit obtains the second node carbon emission prediction data set by executing the automatic test cases. In addition, the second node carbon emission prediction data set can also be self-constructed in the automatic test cases according to theoretical results.

[0017] Furthermore, the carbon monitoring device test module processes the received flow data to obtain a second node carbon emission data set including:

[0018] The automatic testing unit receives the flow data and transmits it to the data collection unit for processing to generate a second carbon collection data set;

[0019] The data collection unit transmits the second carbon collection data set to the device under test unit for calculation and processing to obtain a second node carbon emission data set.

[0020] Furthermore, the carbon monitoring device test module first performs internal test verification on the data in the second node carbon emission data set, and then uploads the carbon emission data after the test to the smart service platform, including:

[0021] By comparing the carbon emission data of the second node carbon emission data set and the carbon emission data of the corresponding node in the second node carbon emission prediction data set to see whether they are consistent:

[0022] If they are consistent, the test is considered to have passed, and the carbon emission data after the test is uploaded to the smart service platform;

[0023] If not, the test is determined to have failed, and the automatic test unit records the reason for the test failure and feeds back the reason for failure, so as to provide an information basis for analyzing the reason for failure.

[0024] Furthermore, the simulation unit includes an RTDS, and the RTDS includes a GTAO board, a GTDO board and a GTNET board for simulating signal output.

[0025] Furthermore, the automatic test unit comprises client software, a tester and a data simulation subunit, the client software is electrically connected to the device under test unit, and the tester and the data simulation subunit are electrically connected to the data acquisition unit respectively.

[0026] Furthermore, the carbon metering simulation monitoring module also includes a simulation unit, an Internet of Things collection unit and a concentrator unit, and the Internet of Things collection unit is electrically connected between the simulation unit and the concentrator.

[0027] (III) Beneficial effects

[0028] The above-mentioned technical scheme of the present invention has the following beneficial technical effects: the present invention provides a new type of electric power carbon monitoring system, in which the carbon flow simulation module builds a model through simulation software to simulate the power system flow distribution in each period, and provides the power system flow data in each period to the carbon metering simulation monitoring module and the carbon monitoring device test module respectively. The carbon metering simulation monitoring module processes the received flow data to obtain a first node carbon emission data set, and then transmits the first node carbon emission data set to the smart service platform to monitor the carbon emissions of each gateway node set in the simulation system to realize the monitoring of the carbon emission data of the whole link of the power system. At the same time, the carbon monitoring device test module processes the received flow data to obtain a second node carbon emission data set, and the carbon monitoring device test module first performs internal testing and verification on the data in the second node carbon emission data set, and the internal test includes the test of the function and performance of the carbon monitoring device, and then uploads the carbon emission data after the test to the smart service platform to ensure the data reliability of the carbon monitoring related devices, and provide a data basis for the construction of the carbon emission smart service platform. The construction of this platform is of far-reaching significance whether from the perspective of carbon emission accounting or product development and carbon emission services. The present invention can realize the monitoring of carbon emission data in all links and processes of the source, grid and load sides of the power system through simulation technology, help power companies and laboratories to fully understand the carbon emissions in each link of the source, grid, load and storage system, provide a basis for companies to formulate carbon emission reduction and carbon trading policies, and provide data support for laboratories to analyze and study carbon emissions in all links of the power system. At the same time, full-process carbon monitoring can also help companies discover bottleneck problems in carbon emissions and provide companies with directions for improving and optimizing the source, grid, load and storage system. It can also test the functions and performance of the carbon monitoring device, improve the reliability of the carbon monitoring device, and ensure the accuracy of carbon emission data in the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is an overall architecture diagram of a novel power carbon monitoring system of the present invention;

[0030] Figure 2 It is the connection architecture diagram of the carbon metering simulation monitoring module and the dual-carbon smart service platform (smart service module);

[0031] Figure 3 It is the connection architecture diagram between the carbon monitoring device test module and the dual-carbon smart service platform (smart service module);

[0032] Figure 4 This is the overall architecture diagram of the dual-carbon smart service platform. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0034] like Figure 1 As shown, the present invention provides a new type of electric carbon monitoring system, including one system and three platforms, namely, a carbon flow simulation module (corresponding to the time-divided carbon flow simulation system in the figure), a carbon metering simulation monitoring module (carbon metering simulation test platform in the figure), a carbon monitoring device test module (carbon monitoring device research and development platform in the figure) and a smart service module (double-carbon smart service platform in the figure). The carbon flow simulation module is a time-divided carbon flow simulation system, which provides the flow data of each node of the power system. One end of the carbon metering simulation monitoring module (carbon metering simulation test platform) and the carbon monitoring device test module (carbon monitoring device research and development platform) are both communicated with the carbon flow simulation module, and the carbon flow simulation module provides the flow data of each node of the power system and transmits it to the carbon metering simulation monitoring module and the carbon monitoring device test module respectively. The other ends of the carbon metering simulation monitoring module and the carbon monitoring device test module are both communicated with the smart service module. The three sub-platforms of one system are interconnected and mutually verify the correctness of the carbon monitoring data, so that it can be observed and measured. Each module realizes information interaction in the following ways:

[0035] 1. Information interaction between carbon measurement simulation monitoring module and smart service platform

[0036] The carbon metering simulation monitoring module (carbon metering simulation test platform) provides two solutions to achieve its functions as follows: Figure 2 As shown:

[0037] 1. The first solution: The carbon metering simulation monitoring module includes a simulation unit (corresponding to the simulation layer in the figure), an IoT collection unit (corresponding to the IoT collection layer in the figure) and an edge transmission unit (corresponding to the edge transmission layer in the figure) to respectively realize the simulation, collection and monitoring of carbon emission data, and the IoT collection unit is electrically connected to the simulation unit and the edge transmission unit respectively. Among them, the simulation unit (simulation layer) includes RTDS, and the RTDS includes a GTAO board, a GTDO board and a GTNET board for simulating signal output. The IoT collection unit (IoT collection layer) includes multiple electricity meters / electricity carbon meters, and the electricity meters mainly collect voltage and current data to calculate the amount of electricity. In addition to collecting voltage and current data, the electricity carbon meter has an electric carbon factor built in, which can multiply the amount of electricity by the electric carbon factor. The edge transmission unit (edge ​​transmission layer) includes a variety of communication protocol conversion devices and multiple carbon monitoring devices / terminals. The carbon metering simulation monitoring module supports the simulation test of the detailed functions and performance of the new power system carbon monitoring system throughout the entire process, in which the RTDS simulation system serves as the executor of the carbon flow simulation data.

[0038] The carbon metering simulation monitoring module processes the received flow data to obtain a first node carbon emission data set including:

[0039] (1) The simulation unit builds a simulation model based on the received power flow data and sends the output data of the simulation model to the IoT acquisition unit. The RTDS simulation system receives the power flow data of each period in the power system provided by the time-divided carbon flow simulation system. The RTDS simulation system builds a model based on the received power flow data and sends the analog quantity and switch quantity to the electric meters of different interactive nodes through the GTAO board and GTDO board of the RTDS simulation device. In order to solve the problem of insufficient electric meters or electric carbon meters, the GTNET board can use the modbus or 104 protocol to send protocol messages to the electric carbon meter through the communication protocol conversion device, edit the protocol messages under different operating conditions, and assess the accuracy of the carbon emission data calculated by the carbon monitoring device / terminal under different operating conditions.

[0040] (2) The IoT collection unit analyzes and processes the output data to generate a first carbon collection data set, and transmits it to the edge transmission unit. The electric meter mainly collects voltage and current data to calculate the amount of electricity. In addition to collecting voltage and current data, the electric carbon meter has an electric carbon factor built in, which can multiply the electric carbon factor by the electric carbon factor to calculate the carbon emission data.

[0041] (3) After the edge transmission unit matches the protocol with the IoT collection unit, the first carbon collection data set is calculated to obtain the first node carbon emission data set. The carbon monitoring device in the carbon metering simulation monitoring module collects the electricity meter power data and the carbon emission data of the electricity carbon meter, and calculates the carbon emission amount by multiplying the electricity meter power data by the electricity carbon factor to obtain the first node carbon emission data set. During the entire data information interaction process, there is a situation where the communication protocol between the carbon monitoring device and the electricity meter and the electricity carbon meter does not match. It is necessary to add a communication protocol conversion device between the two layers to complete the conversion of multiple different communication protocols, not limited to Figure 2 The protocol indicated in .

[0042] Finally, the carbon metering simulation monitoring module directly uploads the data in the first node carbon emission data set to the smart service platform, monitors the carbon emissions of each gateway node set in the simulation system, and realizes the monitoring of carbon emission data in all aspects of the power system. The carbon monitoring device sends the various data, green electricity data and electric energy in the first node carbon emission data set received in the power system to the dual-carbon smart service platform. The dual-carbon smart service platform can also periodically call for carbon emission data from the carbon monitoring device, monitor the carbon emissions and energy consumption of each node in real time, and provide data support for energy conservation and carbon reduction.

[0043] 2. The second solution: The carbon metering simulation monitoring module also includes a simulation unit, an Internet of Things collection unit and a concentrator unit. In this solution, the edge transmission unit (corresponding to the edge transmission layer in the figure) is replaced by a concentrator unit, and the concentrator unit includes a concentrator. The Internet of Things collection unit is electrically connected between the simulation unit and the concentrator. The equipment configured in this solution includes an RTDS simulation system, an electric meter, an electric carbon meter and a concentrator. The difference from Solution 1 is that the concentrator replaces the carbon monitoring device and the communication protocol conversion device, and directly collects the electric meter electricity data and the electric carbon meter carbon emission data. The concentrator transmits the collected electric energy data and carbon emission data to the dual-carbon smart service platform. The dual-carbon smart service platform converts the electric energy data into carbon emission data in real time through the embedded carbon emission factor library, and displays the carbon emissions in real time. Both Solutions 1 and 2 can realize the information interaction between the carbon metering simulation monitoring module and the carbon monitoring device test module. The process is based on the RTDS simulation system to provide analog data to the electric meter in the carbon monitoring device test module through the GTAO board.

[0044] Comparing Scheme 1 and Scheme 2, Scheme 1 is more complicated, and its main function is to test carbon monitoring equipment. It supports the testing of more carbon monitoring equipment, including carbon monitoring devices / terminals, electricity meters, and electricity carbon meters. It supports communication of multiple protocols, and the carbon monitoring device / terminal supports receiving carbon emission data collected by multiple carbon monitoring devices / terminal devices, and can complete the monitoring of regional (park level and even county and city level) carbon emissions; Scheme 2 is simple, and its main function is to monitor the carbon emissions of each node in the power system. It supports fewer communication protocols, and can test the performance of electricity carbon meters. For monitoring carbon emissions, it reduces the process of intermediate protocol conversion, and the data is more reliable. Users can flexibly choose the appropriate solution according to their needs to achieve the desired effect.

[0045] II. Information Interaction between Carbon Monitoring Device Test Module and Smart Service Platform

[0046] like Figure 3 As shown, the carbon monitoring device test module (carbon monitoring device R&D platform) includes: an automatic test unit (corresponding to the automatic test system in the figure), a data acquisition unit (corresponding to the data acquisition in the figure) and a device under test unit (corresponding to the device under test in the figure), and the data acquisition unit is electrically connected to the automatic test unit and the device under test unit, respectively. The carbon monitoring device R&D test platform supports the automatic testing of the detailed functions and performance of the carbon monitoring device or the electric carbon form device, wherein the carbon monitoring device automatic test system serves as the executor of the carbon flow simulation data. This module supports the automatic testing of the detailed functions and performance of the carbon monitoring device / terminal and the electric carbon form device in the carbon monitoring and test platform system. The carbon flow simulation module provides the flow data of each node of the power system and can also transmit it to the carbon monitoring device test module. The carbon monitoring device test module processes the received flow data to obtain the second node carbon emission data set; the carbon monitoring device test module first performs internal testing and verification on the data in the second node carbon emission data set, and tests the functions and performance of the carbon monitoring device / terminal in the module, and then uploads the carbon emission data after the test to the smart service platform to ensure the data reliability of carbon monitoring related devices and provide a data foundation for the construction of the carbon emission smart service platform. The smart service platform monitors the carbon emissions of each node in real time. The automatic testing unit includes client software, a tester and a data simulation subunit (corresponding to Figure 3The client software includes a test management module, a test execution module, a carbon emission calculation module, a result judgment module, etc., which controls the entire test process of the carbon monitoring device / terminal and realizes the automatic testing of the carbon monitoring device / terminal and the electric carbon meter. The tester mainly provides analog data for the electricity meter and the electric carbon meter. The tester simulates various working conditions to provide a data source for the electric meter; the data simulation submodule edits the communication protocol message according to various working conditions and the meaning of each byte of each frame message to achieve data of some working conditions that the tester cannot simulate. It mainly simulates the communication protocol message and simulates the data under various working conditions to be sent to the electricity meter or the electric carbon meter to assess the accuracy of the carbon emissions calculated by the electric carbon meter and the carbon monitoring device / terminal. The tester and the data simulation submodule (corresponding to Figure 3 The data simulation module in the tester) both provide theoretical electricity data, which is also the basis for the prediction results. The client software is electrically connected to the device under test unit, and the tester and the data simulation subunit are electrically connected to the data acquisition unit, respectively. The automatic test unit includes various automatic test cases. The automatic test unit obtains the second-node carbon emission prediction data set by executing the automatic test cases. The automatic test system controls the tester and the data simulation module to send simulated electric energy and electric energy simulation communication protocol messages to the electric carbon meter by executing the test cases. The electric carbon meter calculates the received electric energy data into carbon emission data and sends it to the automatic test system. The automatic test system automatically determines whether the carbon emission data of the electric carbon meter is consistent with the expected data of the test case, and assesses the function of the carbon accounting amount of the electric carbon meter and the accuracy of the carbon accounting data. In addition, the second-node carbon emission prediction data set can also be self-assembled in the automatic test case according to the theoretical results.

[0047] In this module, the carbon monitoring device test module processes the received flow data to obtain the second node carbon emission data set, including: the automatic test unit receives the flow data, and transmits it to the data acquisition unit for processing to generate the second carbon acquisition data set; the data acquisition unit transmits the second carbon acquisition data set to the device unit under test for calculation and processing to obtain the second node carbon emission data set. The second node carbon emission data set is a measured carbon emission data set.

[0048] Furthermore, the carbon monitoring device test module first performs internal test verification on the data in the second node carbon emission data set, and then uploads the carbon emission data after the test to the smart service platform, including:

[0049] By comparing the carbon emission data of the second node carbon emission data set and the carbon emission data of the corresponding node in the second node carbon emission prediction data set to see whether they are consistent:

[0050] If they are consistent, the test is considered to have passed, and the carbon emission data after the test is uploaded to the smart service platform;

[0051] If they are inconsistent, the test is determined to be unsuccessful, and the automatic test unit records the reason for the unsuccessful test and provides feedback on the reason for the unsuccessful test, so as to provide an information basis for analyzing the reason for the unsuccessful test. The comparison process is as follows:

[0052] The automatic test system first parses the test case script, and controls the data source output according to the case in the script. The data source is divided into physical meters and simulation data. The physical meter is the tester that transmits the electric energy data to the electric carbon meter or the electric meter, and outputs the carbon data after internal carbon accounting. The physical meter can be driven by the tester to generate electric energy consumption. According to the communication protocol of the specific electric meter, the electric energy generated by the electric meter is simultaneously sent to the carbon monitoring device and the automatic test system through the communication protocol conversion device; the simulation data is the simulation data provided by the data simulation module, and the data simulation module directly sends the communication protocol message to the carbon monitoring device to simulate the consumption of electric energy. The carbon monitoring device calculates the carbon emissions according to the electric energy consumption provided by the data simulation module, and sends the results to the automatic test system. At the same time, the automatic test system also calculates the carbon emissions of the electric energy data sent by the electric meter according to the electric energy consumption provided by the data simulation module and the internal carbon emission factor library. The calculation result is automatically compared with the result sent by the carbon monitoring device as the expected value, and the final test conclusion is obtained, which assesses the accuracy of the carbon emission data calculation of the carbon monitoring device and the function of collecting electric meter data and electric carbon meter data. In addition, the automatic testing system sends the data to the dual-carbon intelligent service platform to achieve observable and measurable results.

[0053] Smart service module is also called dual-carbon smart service platform: Figure 4 As shown, this module not only supports the collection, analysis, processing and control functions of carbon emission data of the two major platforms (carbon metering simulation monitoring module and carbon monitoring device testing module), but also obtains data of the dual-carbon smart service platform through four channels: monitoring / collection equipment, system integration, manual reporting and synchronous simulation system. In addition, the smart service module can also serve users including government departments, emission control enterprises, emission reduction enterprises, public institutions, etc., including four major sections: dual-carbon cockpit, new energy monitoring, electric-carbon collaborative services, and carbon accounts.

[0054] In accordance with the country's requirements for the gradual shift from dual energy control to dual carbon emission control, the dual carbon cockpit unit completes the statistics of energy consumption, energy consumption intensity, carbon emissions and carbon emission intensity. Through the research and development of the statistical functions of the total installed capacity of new energy power generation, the total power generation, and the renewable energy absorption capacity of each enterprise, the various indicators can be intuitively grasped. Based on energy consumption and carbon emission data, energy consumption, energy consumption intensity, carbon emissions and carbon emission intensity dashboards are built to provide strong support for project planning.

[0055] Setting up a new energy monitoring unit can monitor the types of new energy, total installed capacity of new energy, power generation, and transaction volume of green electricity and green certificates. By planning and setting relevant indicator information and parameter information, the monitoring function of regional renewable energy production, consumption, and the status of related supporting facilities can be implemented to provide visual statistical analysis services, so as to more accurately serve the construction and operation of new power systems. In addition, the proportion of regional new energy consumption can be monitored, carbon reduction strategies can be formulated, and the low-carbon transformation of green energy can be promoted.

[0056] Set up an electric-carbon collaborative service unit, including electric-carbon assessment model, construction of carbon-electric factor library, maintenance of carbon-electric factor library, and calculation function of park carbon-electric factor. Based on the historical electricity consumption, energy consumption, and carbon emission data of regions, industries, and enterprises, and integrating GDP, macro-control and other data, carry out correlation and linkage analysis and research among electricity, energy consumption, and carbon emission, explore the dependence and influence relationship among the three, build an electric-carbon ternary calculation model through data modeling, use the continuously generated new data to perform regression analysis and backtest verification on the model, continuously optimize the ternary calculation model, and form a multi-temporal electric-carbon assessment model, so as to realize the dynamic calculation of the total carbon emissions of each district, industry, and enterprise based on the real-time characteristics of electric power data, and comprehensively and dynamically reflect the carbon emission levels and trends of regions, industries, and enterprises, and lay the foundation for giving full play to the value of high-frequency electric power data in the dual-carbon field. Use advanced technical means to fully integrate various data resources from fields and departments such as electricity, oil, natural gas, new energy, environmental protection, the Internet, and government agencies, and realize professional data governance and data fusion analysis through mathematical modeling and simulation calculation tools. According to the carbon emission factors of different energy sources, the total emissions are calculated to obtain the carbon electricity factors of regions, industries and enterprises. Relying on the data center of prefectures and cities, the carbon emission information of power plants and key emission-controlled enterprises over the years is accessed, and the carbon emission report information of enterprises over the years is analyzed. Data is collected and analyzed to form a differentiated carbon electricity factor library for different enterprises, with the function of changing and tracing carbon electricity factor information, and timely maintaining the carbon electricity factor library. The platform studies the carbon electricity factor of the park for areas where all categories of energy data cannot be fully accessed. By gathering the full chain data of electricity production, transmission, and use in the park, and taking into account the power transfer in and out between various cities, differentiated and accurate carbon electricity factor models such as "electricity-coal", "electricity-oil", and "electricity-gas" are constructed to accurately measure and scientifically deduce the carbon emissions of the park. Realize dynamic control, dynamic monitoring, and dynamic evaluation of carbon emissions in the park. Compare and analyze the dynamic carbon emissions calculated by carbon electricity factor simulation with the measured carbon emission results issued by a third-party carbon emission accounting agency to verify the carbon electricity factor model. Setting up the electricity-carbon collaborative service module opens up the perspective of online carbon monitoring from the perspective of power big data, solves the problems of difficult, low-frequency and low-timeliness of carbon emission monitoring statistics under traditional methods, and improves the monitoring frequency and scope. Using carbon emission-related data, support governments and enterprises to accurately evaluate, analyze and make decisions on carbon reduction and emission reduction.

[0057] Set up corporate carbon account units, including carbon emission management and carbon emission reduction management functions. The carbon emission management function uses water meters, electricity meters, flow meters, carbon meters and other devices to automatically collect energy consumption and carbon emissions, realize the accounting statistics and analysis of energy consumption and carbon emissions, and then comprehensively, accurately and in real time grasp its own carbon emissions. In this way, it provides data support for enterprises to carry out energy-saving and emission reduction projects and tap the potential of carbon emission reduction. At the same time, it will also provide a decision-making basis for the government's planning work. The carbon emission reduction management function provides carbon emission reduction accounting statistics by type and multiple time periods, carbon emission reduction index analysis, green electricity and green certificate trading statistics analysis, and intuitively displays the gap in achieving the goal. Effectively guide various entities to take carbon emission reduction actions such as clean energy utilization and energy-saving and low-carbon technology applications, thereby further promoting green production models and providing relevant services for the government's supervision and guidance of carbon emission reduction work.

[0058] The present invention has been described above with reference to the embodiments of the present invention. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. The scope of the present invention is defined by the attached claims and their equivalents. Without departing from the scope of the present invention, a person skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present invention. Although the embodiments of the present invention have been described in detail, it should be understood that various changes, substitutions and modifications may be made to the embodiments of the present invention without departing from the spirit and scope of the present invention. Obviously, the above embodiments are merely examples for clear explanation and are not intended to limit the embodiments. For a person of ordinary skill in the art, other different forms of changes or modifications may be made on the basis of the above description. It is not necessary and impossible to list all the embodiments here. The obvious changes or modifications derived therefrom are still within the scope of protection created by the present invention.

[0059] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0060] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the functions specified in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide for implementing the process in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0061] A person of ordinary skill in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes the following process of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (Read-Only Memory, referred to as ROM) or a random access memory (Random Access Memory, referred to as RAM), etc. The steps in the method of the embodiment of the present invention can be adjusted in order, merged and deleted according to actual needs. The modules [units] in the system [terminal or device] of the embodiment of the present invention can be merged, divided and deleted according to actual needs.

Claims

1. A new type of electricity carbon monitoring system, characterized in that: include: Carbon flow simulation module, carbon metering simulation monitoring module, carbon monitoring device testing module and smart service module; One end of the carbon metering simulation monitoring module and the carbon monitoring device test module are both in communication connection with the carbon flow simulation module, the carbon flow simulation module provides the flow data of each node of the power system and transmits it to the carbon metering simulation monitoring module and the carbon monitoring device test module respectively, the carbon metering simulation monitoring module processes the received flow data to obtain a first node carbon emission data set, and the carbon monitoring device test module processes the received flow data to obtain a second node carbon emission data set; The other ends of the carbon metering simulation monitoring module and the carbon monitoring device testing module are both communicatively connected to the smart service module. The carbon metering simulation monitoring module directly uploads the data in the carbon emission data set of the first node to the smart service platform. The carbon monitoring device testing module first performs internal testing and verification on the data in the carbon emission data set of the second node, and then uploads the carbon emission data after the test to the smart service platform. Finally, the carbon emissions of each node are monitored in real time through the smart service platform.

2. The novel power carbon monitoring system according to claim 1 is characterized in that: The carbon metering simulation monitoring module includes a simulation unit, an Internet of Things collection unit and an edge transmission unit, and the Internet of Things collection unit is electrically connected to the simulation unit and the edge transmission unit respectively.

3. The novel power carbon monitoring system according to claim 2 is characterized in that: The carbon metering simulation monitoring module processes the received power flow data to obtain a first node carbon emission data set including: The simulation unit builds a simulation model according to the received power flow data, and sends the output data of the simulation model to the IoT collection unit; The IoT collection unit analyzes and processes the output data to generate a first carbon collection data set, and transmits the first carbon collection data set to the edge transmission unit; The edge transmission unit calculates the first carbon collection data set after performing protocol matching with the IoT collection unit to obtain a first node carbon emission data set.

4. The novel power carbon monitoring system according to claim 1 is characterized in that: The carbon monitoring device test module comprises: an automatic test unit, a data acquisition unit and a device under test unit, and the data acquisition unit is electrically connected to the automatic test unit and the device under test unit respectively.

5. The novel electricity carbon monitoring system according to claim 4 is characterized in that: The automatic testing unit includes various automatic testing cases, and the automatic testing unit obtains the second node carbon emission prediction data set by executing the automatic testing cases.

6. The novel power carbon monitoring system according to claim 5 is characterized in that: The carbon monitoring device test module processes the received flow data to obtain a second node carbon emission data set including: The automatic testing unit receives the flow data and transmits it to the data collection unit for processing to generate a second carbon collection data set; The data collection unit transmits the second carbon collection data set to the device under test unit for calculation and processing to obtain a second node carbon emission data set.

7. The novel electricity carbon monitoring system according to claim 6 is characterized in that: The carbon monitoring device test module first performs internal test verification on the data in the second node carbon emission data set, and then uploads the carbon emission data that passes the test to the smart service platform, including: By comparing the carbon emission data of the second node carbon emission data set and the carbon emission data of the corresponding node in the second node carbon emission prediction data set to see whether they are consistent: If they are consistent, the test is considered to have passed, and the carbon emission data after the test is uploaded to the smart service platform; If they are inconsistent, the test is determined to have failed, and the automatic test unit records the reason for the test failure and provides feedback on the reason for the failure.

8. The novel electricity carbon monitoring system according to claim 2 is characterized in that: The simulation unit includes RTDS, and the RTDS includes a GTAO board, a GTDO board and a GTNET board for simulating signal output.

9. The novel electricity carbon monitoring system according to claim 4 is characterized in that: The automatic test unit comprises client software, a tester and a data simulation subunit. The client software is electrically connected to the device under test unit, and the tester and the data simulation subunit are electrically connected to the data acquisition unit respectively.

10. The novel electricity carbon monitoring system according to claim 1 is characterized in that: The carbon metering simulation monitoring module also includes a simulation unit, an Internet of Things collection unit and a concentrator unit, and the Internet of Things collection unit is electrically connected between the simulation unit and the concentrator.

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