A power system carbon metering simulation system and method based on power flow

Abstract

The application discloses a power system carbon metering simulation system and method based on power flow. The system comprises source side, network side and load side simulation units and a simulation master station; each simulation unit is provided with an electric carbon collection terminal, an electric carbon meter and a program-controlled simulation source, and each electric carbon meter is connected with a corresponding program-controlled simulation source to form a simulation node. The simulation master station configures node attributes and logical connection relationships according to a target scene, controls each program-controlled simulation source to synchronously output electric signals which can be independently set, collects electric energy metering data and electric carbon metering data of each node, and constructs a power flow topology to calculate node electric carbon data, compares the calculation results with corresponding metering data, and outputs verification results. The application can flexibly construct a simulation system with different source network load compositions and connection relationships by using the same platform, is used for verifying various carbon metering algorithms, and reduces the workload of repeatedly building simulation systems.

Description

Technical Field

[0001] This invention belongs to the field of carbon metering simulation technology, specifically relating to a power system carbon metering simulation system and method based on power flow. Background Technology

[0002] With the low-carbon development of the power industry, the number of carbon metering algorithms used to calculate the carbon emission factor, carbon emission amount, and carbon emission flow of each node in the power system is constantly increasing. Different carbon metering algorithms may differ in terms of data input, topology processing, carbon emission allocation methods, and applicable scenarios. Therefore, they need to be verified under different power source configurations, voltage levels, network connection relationships, and load characteristics to determine the applicability of the algorithm and the reliability of the calculation results.

[0003] Validating carbon metering algorithms typically requires constructing a simulation environment corresponding to the target power system scenario, capable of providing power data, carbon emission data, and upstream and downstream relationships between nodes. For different carbon metering algorithms, or for different validation scenarios of the same algorithm, the required power source type, number of nodes, network topology, power flow direction, and operating parameters may vary.

[0004] In existing verification methods, it is typically necessary to temporarily select metering equipment, signal sources, and acquisition equipment based on the algorithm to be verified and the target scenario, and complete the equipment layout, wiring connections, parameter configuration, and data correspondence settings to form a simulation system that matches the verification task. When it is necessary to verify a different algorithm, or to change the power supply configuration, substation level, user type, and power flow path, it is often necessary to readjust the equipment, rewire, or rebuild the simulation system. This process involves many devices and connections, is cumbersome, has a long preparation period, and the test conditions formed by different builds are not easy to keep consistent, resulting in low reusability of the simulation system.

[0005] Furthermore, carbon metering algorithms based on power flow typically involve multiple interconnected metering nodes. Different nodes need to generate electrical and carbon data corresponding to their respective operating states within the same timeframe, and the data from each node must accurately correspond to the constructed network topology. If an ad-hoc setup is used, it is necessary not only to configure the operating parameters of multiple metering points one by one, but also to repeatedly verify the correspondence between metering equipment, collected data, and topology nodes, further increasing the difficulty of algorithm verification.

[0006] Therefore, existing technologies require a highly reusable carbon metering algorithm verification platform that can flexibly construct corresponding power system simulation environments according to the needs of different algorithms and verification scenarios, and complete the verification of multiple carbon metering algorithms without having to rebuild the entire simulation system for each verification task. Summary of the Invention

[0007] One of the objectives of this invention is to at least solve one or more of the aforementioned problems existing in the prior art. In other words, one of the objectives of this invention is to provide a power system carbon metering simulation system and method based on power flow that meets one or more of the aforementioned requirements.

[0008] To achieve the above-mentioned objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a power system carbon metering simulation system based on power flow, comprising several source-side simulation units, several grid-side simulation units, several load-side simulation units, and a simulation master station; Each of the source-side simulation unit, the grid-side simulation unit, and the load-side simulation unit is equipped with an electric carbon acquisition terminal, at least one electric carbon meter, and at least one programmable simulation source; Each of the aforementioned carbon meter is connected to a programmable analog source to form a simulation node. The programmable analog source is used to provide independent electrical signals to each carbon meter according to a synchronization control signal. The carbon collection terminal is communicatively connected to the carbon meter and is used to collect the carbon metering data generated by each carbon meter under the action of the electrical signal. The simulation master station is communicatively connected to the acquisition terminal and the programmable simulation source. It is used to configure the node attributes of the simulation nodes and the connection relationships between the simulation nodes. Based on the connection relationships, a power flow topology representing the power flow direction between each simulation node is constructed. Based on the power flow topology and the carbon metering data, carbon data calculation is performed to obtain the carbon calculation results of each simulation node. The carbon calculation results are then compared with the corresponding carbon metering data, and the verification results are output.

[0009] In a preferred embodiment, each of the programmable analog sources is used to output different specified electrical signals at the same time according to the synchronization control signal.

[0010] As a further preferred embodiment, the simulation master station is used to configure corresponding electrical signal parameters for each simulation node according to the target power system scenario, and generate synchronization control signals.

[0011] As a further preferred embodiment, the electrical signal includes at least one of voltage, current, frequency, phase, and duration.

[0012] In a preferred embodiment, the simulation master station is equipped with carbon metering simulation software, which includes a source-side simulation module, a grid-side simulation module, and a load-side simulation module. The source-side simulation module, grid-side simulation module, and load-side simulation module are respectively used to generate the node attributes of the source-side simulation node, the grid-side simulation node, and the load-side simulation node.

[0013] In one preferred embodiment, the source-side simulation node includes at least one of conventional energy power generation node, new energy power generation node, energy storage node, and external line node.

[0014] On the other hand, the present invention also provides a power system carbon metering simulation method based on power flow, applied to the power system carbon metering simulation system based on power flow as described in any of the above claims, the method comprising: Obtain the target power system scenario, and configure the node attributes of the source-side simulation node, grid-side simulation node, and load-side simulation node, as well as the logical connection relationship between each simulation node, according to the target power system scenario; Based on the logical connection relationship between each simulation node, a power flow topology representing the power flow direction between each simulation node is constructed. The corresponding electrical signal parameters are determined based on the node attributes of each simulation node, a synchronization control signal is generated, and each programmable simulation source is controlled to output an independently configurable electrical signal to the corresponding carbon meter at the same time according to the synchronization control signal. Each carbon collection terminal collects the energy metering data and carbon metering data generated by the corresponding carbon meter under the action of the electrical signal; Based on the power flow topology and the carbon metering data, carbon data calculation is performed to obtain the carbon calculation results for each simulation node. The carbon calculation results for each simulation node are then compared with the corresponding carbon metering data to output the verification results.

[0015] As a preferred implementation, the node attributes of the source-side simulation node, network-side simulation node, and load-side simulation node are configured, including: Configure the power source type, carbon emission factor determination parameters, and voltage level of the source-side simulation node; Configure the voltage level of the network-side simulation nodes; Configure the energy consumption attributes and self-provided power supply attributes of the load-side simulation nodes. Compared with existing technologies, the power system carbon metering simulation system and method based on power flow provided by this invention have the following advantages: This invention sets up several source-side simulation units, several grid-side simulation units, several load-side simulation units, and a simulation master station within the same simulation platform. The simulation master station allows configuration of the node attributes of each simulation node and the logical connections between nodes according to the target power system scenario. This enables the construction of a power flow topology representing the energy flow direction between the simulation nodes based on the configured node attributes and logical connections. Therefore, power system simulation environments of different scales, source-grid-load compositions, and connection methods can be flexibly constructed on existing hardware. When the verification object or verification conditions change, the power flow topology can be reconstructed by adjusting node attributes and connection relationships without modifying the physical power grid or replacing the entire simulation equipment. This improves the flexibility of simulation scenario switching, eliminating the need to reselect and build an entire simulation system for each carbon metering algorithm or verification scenario. It enhances the reusability of the simulation platform, reduces pre-verification preparation work, and allows different algorithms to be easily calculated and compared under preset verification conditions with clear node relationships and power flow paths. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the structure of a power system carbon metering simulation system based on power flow according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a simulation node in a simulation example of an embodiment of the present invention; Figure 3 This is a schematic diagram of the equivalent power flow topology of a simulation example of an embodiment of the present invention. Detailed Implementation

[0017] 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.

[0018] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made to the function and arrangement of the described elements without departing from the scope of the invention. Various processes or components may be appropriately omitted, substituted, or added to the various examples. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.

[0019] Reference Figure 1 This invention provides a power system carbon metering simulation system based on power flow. The system includes several source-side simulation units, several grid-side simulation units, several load-side simulation units, and a simulation master station.

[0020] Each source-side simulation unit, grid-side simulation unit, and load-side simulation unit is equipped with an electric carbon acquisition terminal, at least one electric carbon meter, and at least one programmable simulation source. Each electric carbon meter is connected to one programmable simulation source, and the interconnected electric carbon meters and programmable simulation sources together form a simulation node.

[0021] A hardware simulation unit may include one or more simulation nodes. The carbon acquisition terminal within the same hardware simulation unit is used to collect the carbon metering data of each simulation node within the unit.

[0022] It should be noted that the source-side simulation unit, grid-side simulation unit, and load-side simulation unit in this invention represent hardware-level simulation units, and the simulation node represents the smallest signal injection and measurement object formed by an electric carbon meter and its corresponding programmable simulation source.

[0023] In some implementations, the source-side simulation unit, grid-side simulation unit, and load-side simulation unit are respectively installed on the source-side panel, grid-side panel, and load-side panel, while the simulation master station and display screen are installed on the display panel. The four panels together constitute the power system carbon metering simulation system.

[0024] As a feasible example, three source-side simulation units are arranged on the source side panel, each including one carbon dioxide acquisition terminal and two carbon dioxide meters; three network-side simulation units are arranged on the grid side panel, each including one carbon dioxide acquisition terminal and three carbon dioxide meters; and three load-side simulation units are arranged on the load side panel, each including one carbon dioxide acquisition terminal and two carbon dioxide meters. With this arrangement, the system has a total of nine carbon dioxide acquisition terminals and twenty-one carbon dioxide meters. Each carbon dioxide meter is connected to a corresponding programmable analog source, thus forming twenty-one simulation nodes whose signals can be individually set.

[0025] To simultaneously generate different electrical operating conditions on multiple simulation nodes, the programmable simulation source adopts a distributed master-slave structure.

[0026] Specifically, taking the configuration of a set of distributed slave stations for each side panel as an example, each set of distributed slave stations includes one master slave station and multiple slave slave stations. Each slave slave station serves as a programmable simulation source connected to the corresponding carbon meter. The master slave station receives the synchronization control signal from the simulation master station and provides synchronization instructions or synchronization references to each slave slave station. Each slave slave station drives a corresponding carbon meter and independently outputs electrical signals according to the electrical signal parameters allocated to the corresponding simulation node.

[0027] Thus, each carbon meter corresponds one-to-one with a programmable simulation source, and together they form a simulation node.

[0028] The reason for adopting the above-mentioned distributed master-slave structure is that a single standard programmable source usually outputs a set of uniform voltage, current, frequency and phase signals at the same time, which makes it difficult to simultaneously reproduce the different and dynamically changing operating signals corresponding to different metering points in the actual substation.

[0029] This satisfies the synchronous control transmission restrictions of the simulation master station while allowing the signal parameters of each node to be independent and unaffected by each other.

[0030] Synchronization control signals may include control information for coordinating the actions of each programmable analog source and synchronization information for ensuring consistent output timing.

[0031] The simulation master station determines the corresponding parameters based on the node attributes and target operating conditions, and starts the output of each programmable simulation source under the control of the synchronization control signal, so that different simulation nodes are simultaneously in the operating state specified by the target scenario.

[0032] As a possible example, control information includes global start or stop commands, synchronization trigger commands, output parameter settings, and source addresses or identifiers. Synchronization information includes clock information, trigger signals, or frame synchronization information. The electrical signals of each simulation node may include one or more of voltage, current, frequency, phase, and duration.

[0033] The carbon meter measures electricity under the action of a corresponding electrical signal, generating electricity metering data and carbon metering data.

[0034] Specifically, electricity metering data can include both forward and reverse electricity consumption, as well as carbon emission factors and carbon emissions. Furthermore, the electricity carbon meter can be configured with specified carbon emission factors based on simulation requirements.

[0035] The carbon data acquisition terminal communicates with each carbon meter in its simulation unit to collect electricity metering data and carbon metering data, and uploads the collected data to the simulation master station.

[0036] As a feasible example, the carbon meter and the carbon acquisition terminal communicate via RS485, and the carbon acquisition terminal communicates via 4G with the simulation master station. The simulation master station and the distributed slave station of the programmable source can use a communication interface that supports parameter setting and synchronous triggering, such as an interface compatible with SCPI commands.

[0037] The simulation master station is configured with carbon metering simulation software. This software includes at least a source-side simulation module, a grid-side simulation module, and a load-side simulation module. These three modules generate node attributes for different power links, decoupling the scenario configurations of the source, grid, and load sides. The simulation master station then summarizes the node attributes and connection relationships output by each module.

[0038] Specifically, the source-side simulation module is used to generate node attributes for source-side simulation nodes, enabling them to be configured as conventional energy generation nodes, new energy generation nodes, energy storage nodes, or external line nodes. These node attributes include power source type, carbon emission factor determination parameters, and voltage level, and may also include lower-level node identifiers used to construct the power flow topology.

[0039] The source-side simulation module calls the corresponding parameter configuration method according to different power source types, so that the same source-side simulation unit can simulate the power generation and carbon emission characteristics of different types of power sources.

[0040] When the source-side simulation node is configured as a conventional energy power generation node such as thermal power generation or waste-to-energy incineration, the source-side simulation module can provide CEMS carbon sensing data simulation functionality. The system simulates emissions by setting one or more parameters among concentration, flow rate, pressure, temperature, and humidity, and can also set one or more parameters among coal weight, carbon content, calorific value, and carbon oxidation rate. The simulation master station calculates the carbon emission factor of the node based on the set carbon emission factors and sends it to the node's carbon meter. Simultaneously, the corresponding programmable simulation source outputs electrical signals according to the voltage, current, and phase parameters configured for the node to simulate the power generation state of a conventional energy power plant.

[0041] When the source-side simulation node is configured as a new energy power generation node such as photovoltaic, hydropower, or wind power, the carbon emission factor of the node can be set to zero, and the corresponding power generation signal can be set through a programmable simulation source. When the source-side simulation node is configured as an external line node, the carbon emission factor of the node can be set to a fixed value, which can be flexibly set according to the target simulation scenario.

[0042] When a source-side simulation node is configured as an energy storage node, the source-side simulation module determines its node attributes based on the current charging / discharging stage of the energy storage node. For example, an energy storage node is treated as a source-side node when it is in the discharging stage and as a load-side node when it is in the charging stage. By distinguishing between charging and discharging states, the changes in the direction of electrical energy flow caused by the energy storage node changing its operating state can be reflected in the same topology.

[0043] The grid-side simulation module is used to generate the node attributes of the grid-side simulation nodes, so that the grid-side simulation nodes represent the bus in the substation. The node attributes include voltage level and logical subordinate nodes.

[0044] For example, the grid-side simulation module can configure the voltage level of the grid-side simulation node to 220kV, 110kV, 35kV, or 10kV, and configure the logical lower-level nodes as a source-side simulation node for energy storage, another grid-side simulation node, or a load-side simulation node for simulating users. The programmable simulation source drives the carbon meter of the grid-side simulation node according to the corresponding voltage, current, and phase parameters to simulate the operating status of the substation bus.

[0045] Multiple grid-side simulation units can be connected according to the upstream and downstream relationships of the target scenario to represent the connection relationship between multiple substations. Nodes with the same voltage level can directly form logical power flow connections at the corresponding voltage level, while connections between different voltage levels are made through grid-side simulation nodes representing substations or substation paths, thereby forming the power flow direction under multi-level voltage changes in the power flow topology.

[0046] The load-side simulation module generates node attributes for load-side simulation nodes, enabling these nodes to simulate a user's energy consumption status in a target scenario. These node attributes include energy consumption attributes and self-provided power supply attributes, and may also include voltage levels and logical connections to higher-level or related nodes. Energy consumption attributes characterize different user load characteristics such as high energy consumption and high emissions, while self-provided power supply attributes characterize whether the user has installed a self-provided power plant or distributed power sources such as photovoltaic systems.

[0047] When simulating ordinary users without their own power supply, a single load-side simulation node can receive the logical power flow connection from the upstream grid-side simulation node, and the corresponding carbon meter will generate a positive power consumption representing the user's energy usage. When simulating users with their own power plants, two simulation nodes within the same load-side simulation unit can work together: the carbon meter of one simulation node generates a non-zero positive power consumption, representing the user receiving power from the upstream node; the carbon meter of the other simulation node generates a non-zero reverse power consumption, representing the output provided by the power plant to the user or the grid. This dual-node configuration allows for the simultaneous representation of bidirectional power flow, from the user's power reception to the output of their own power source.

[0048] After configuring the attributes and logical connections of each simulation node, the simulation master station constructs a power flow topology based on the logical connections between the simulation nodes. Specifically, during construction, each simulation node is treated as a topology node, and the logical connections are used as the connecting edges between the topology nodes. The direction of power flow represented by the connecting edges is determined by combining the forward and reverse power consumption of the nodes or pre-configured upstream and downstream relationships. This results in a power flow topology encompassing the entire source-grid-load chain, including conventional energy generation, new energy generation, external transmission lines, energy storage, multiple substation buses, ordinary users, and users with their own power sources.

[0049] Since both the topology and the physical meter data can be reconfigured according to the target scenario, the same system can easily form a variety of simulation conditions under different production conditions by simply changing the logical connection relationship and node attributes, so that the algorithm to be verified can be repeatedly calculated.

[0050] As a feasible example, such as Figure 2 As shown, six source-side simulation nodes are configured with a 220kV thermal power node, a 110kV thermal power node, a 110kV photovoltaic node, a 35kV photovoltaic node, a 10kV wind power node, and a 110kV external line node. Each source-side simulation node is connected to a grid-side simulation node with the corresponding voltage level. Each of the three grid-side simulation units includes three grid-side simulation nodes, each consisting of an electricity carbon meter and its corresponding programmable analog source, resulting in a total of nine grid-side simulation nodes. These nine grid-side simulation nodes represent the busbars and outgoing lines of four substations according to their logical connections. One substation forms a substation path between 220kV, 110kV, and 35kV; two substations form substation paths between 110kV and 10kV respectively; and the other substation forms a substation path between 35kV and 10kV. Each substation path connects downstream to four 10kV users and one 110kV self-owned power plant user. The four 10kV users are represented by their respective 10kV load-side simulation nodes, and the 110kV self-owned power plant user is represented by the aforementioned receiving node that receives power from the upstream power source and the node representing the reverse power output of the self-owned power plant. Based on the configured node attributes and logical connections, the simulation master station generates a power flow topology from multiple source-side simulation nodes through the grid-side simulation nodes corresponding to the four substations to each load-side simulation node. The generated equivalent power flow topology is as follows: Figure 3 As shown.

[0051] The simulation master station is also used to perform carbon data calculations based on the constructed power flow topology and the data uploaded by each carbon data acquisition terminal. Specifically, the carbon metering simulation software calls the carbon metering algorithm based on power flow configured for the current target scenario. It uses the upstream and downstream relationships between nodes and the direction of power flow as the structural basis, and the collected power metering data and carbon metering data as data inputs to obtain the carbon calculation results for each simulation node.

[0052] Understandably, carbon metering simulation software can be configured with different carbon metering algorithms based on power flow to calculate and verify different algorithms under the same physical simulation scenario and metering data.

[0053] The simulation master station is also equipped with a verification module that receives the carbon calculation results of each simulation node and the carbon metering data of the corresponding carbon meter, compares the calculated value and the metering value of the same simulation node, and outputs the node-level verification results.

[0054] In addition to node-by-node comparisons, the verification module can also perform additional verifications based on the total quantity principle. Let the set of source-side simulation nodes be... The set of simulation nodes on the load side is Source-side simulation node The carbon emissions are Load-side simulation nodes The calculated carbon emission factor is Load-side simulation nodes The electricity consumption is Then the total verification relationship can be expressed as:

[0055] The verification module calculates the total carbon emissions from the source side and the sum of the products of the calculated carbon emission factors and electricity consumption of each node on the load side, and compares the two to obtain a consistency verification result between the total amount of electrical carbon information generated on the source side and the total amount of electrical carbon information consumed on the load side.

[0056] The verification module can also set an upper limit for the carbon emission factor of conventional thermal power plants. When the calculated carbon emission factor of a certain node exceeds the set upper limit, the verification module outputs an anomaly alert to promptly detect algorithm output errors. The specific value of the upper limit can be set according to the simulated target power system scenario and verification requirements.

[0057] In some embodiments, the simulation master station is set in the display panel, and the display screen on the display panel is connected to the simulation master station to display the constructed power flow topology, the power flow direction corresponding to each connection edge, the real-time electrical carbon parameters of each simulation node, and the verification results.

[0058] Another embodiment of the present invention provides a power system carbon metering simulation method based on power flow. The method is executed by the power system carbon metering simulation system in the above embodiment and specifically includes the following steps.

[0059] S101, obtain the target power system scenario, and configure the node attributes of the source-side simulation node, grid-side simulation node and load-side simulation node, as well as the logical connection relationship between each simulation node according to the target power system scenario.

[0060] The target power system scenario specifies the power source type, substation or busbar level, user type, voltage level of each node, and upstream and downstream relationships between nodes in the system to be simulated. The simulation master station generates node attributes for the three types of simulation nodes based on the source-side simulation module, grid-side simulation module, and load-side simulation module in the carbon metering simulation software.

[0061] S102, Based on the logical connection relationship between each simulation node, construct a power flow topology that represents the direction of power flow between each simulation node.

[0062] Specifically, the simulation nodes configured in step S101 are used as topology nodes, logical connections are used as topology connection edges, and the direction of power flow is determined based on the configured upstream and downstream relationships and the forward and reverse power consumption of the meters. By connecting multiple grid-side simulation nodes at different voltage levels, a multi-level power flow scenario in which multiple substations are interconnected is constructed.

[0063] Among them, source-side simulation nodes constitute the power input nodes in the topology, grid-side simulation nodes represent busbars or substation paths, and load-side simulation nodes represent energy-consuming nodes; energy storage nodes and load-side nodes with self-provided power supplies can form power flow in the corresponding direction in the topology according to the current state.

[0064] S103 determines the corresponding electrical signal parameters based on the node attributes of each simulation node, generates a synchronization control signal, and controls each programmable simulation source to output an independently configurable electrical signal to the corresponding carbon meter at the same time according to the synchronization control signal.

[0065] Specifically, the simulation master station determines the corresponding electrical signal parameters based on node attributes and target operating conditions. These electrical signal parameters include one or more of voltage, current, frequency, phase, and duration, and configures the electrical signal parameters of each node to the corresponding programmable analog source. Each programmable analog source begins outputting under a common synchronization reference, while their respective output parameters are independent of each other, thus forming the corresponding operating states of multiple different metering points at the same time.

[0066] S104: Collects carbon metering data generated by the corresponding carbon meter under the action of electrical signals through each carbon metering acquisition terminal.

[0067] Specifically, each carbon meter generates data such as forward electricity consumption, reverse electricity consumption, carbon emission factor, and carbon emission amount under the action of the electrical signals output by the corresponding programmable simulation source. Each carbon acquisition terminal collects the data from each carbon meter within its simulation unit and uploads it to the simulation master station.

[0068] S105 calculates the electrical carbon data based on the power flow topology and the collected data, and obtains the electrical carbon calculation results for each simulation node.

[0069] Specifically, step S105 calls the carbon metering algorithm based on power flow selected for the current scenario, processes the power metering data and carbon metering data of each node along the upstream and downstream relationship represented by the power flow topology, and obtains the carbon emission factor, carbon emission amount and other carbon calculation results of each simulation node.

[0070] S106 compares the calculated carbon emissions from each simulation node with the carbon emission data generated by the corresponding carbon emission meter and outputs the verification results.

[0071] Specifically, by associating the measurement data and calculation results of the same simulation node, the corresponding data such as carbon emission factor and carbon emission amount of the same node are compared, and node-level difference information is output. In addition, total quantity verification can be performed according to the relationship between the total carbon emission amount of the source side and the sum of the products of the carbon emission factor and electricity consumption on the load side, or the upper limit of the carbon emission factor of conventional thermal power can be used to alert for abnormal results.

[0072] The above description is merely an exemplary embodiment of this application and should not be construed as limiting the scope of this application. Any equivalent changes and modifications made in accordance with the teachings of this application shall still fall within the scope of this application. Other embodiments of this application will readily conceive of by those skilled in the art upon consideration of the specification and practice of the disclosure herein. This invention is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not described herein. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this application are defined by the claims.

Claims

1. A power system carbon metering simulation system based on power flow, characterized in that, It includes several source-side simulation units, several network-side simulation units, several load-side simulation units, and a simulation master station; Each of the source-side simulation unit, the grid-side simulation unit, and the load-side simulation unit is equipped with an electric carbon acquisition terminal, at least one electric carbon meter, and at least one programmable simulation source; Each of the aforementioned carbon meter is connected to a programmable analog source to form a simulation node. The programmable analog source is used to provide independent electrical signals to each carbon meter according to a synchronization control signal. The carbon collection terminal is communicatively connected to the carbon meter and is used to collect the carbon metering data generated by each carbon meter under the action of the electrical signal. The simulation master station is communicatively connected to the acquisition terminal and the programmable simulation source. It is used to configure the node attributes of the simulation nodes and the connection relationships between the simulation nodes. Based on the connection relationships, a power flow topology representing the power flow direction between each simulation node is constructed. Based on the power flow topology and the carbon metering data, carbon data calculation is performed to obtain the carbon calculation results of each simulation node. The carbon calculation results are then compared with the corresponding carbon metering data, and the verification results are output.

2. The power system carbon metering simulation system based on power flow according to claim 1, characterized in that, Each of the programmable analog sources is used to output different specified electrical signals at the same time according to the synchronization control signal.

3. The power system carbon metering simulation system based on power flow according to claim 2, characterized in that, The simulation master station is used to configure corresponding electrical signal parameters for each simulation node according to the target power system scenario, and to generate synchronization control signals.

4. The power system carbon metering simulation system based on power flow according to claim 2, characterized in that, The electrical signal includes at least one of the following data: voltage, current, frequency, phase, and duration.

5. The power system carbon metering simulation system based on power flow according to claim 1, characterized in that, The simulation master station is equipped with carbon metering simulation software, which includes a source-side simulation module, a grid-side simulation module, and a load-side simulation module. The source-side simulation module, grid-side simulation module, and load-side simulation module are used to generate the node attributes of the source-side simulation node, grid-side simulation node, and load-side simulation node, respectively.

6. The power system carbon metering simulation system based on power flow according to claim 1, characterized in that, The source-side simulation node includes at least one of conventional energy power generation node, new energy power generation node, energy storage node, and external line node.

7. A power system carbon metering simulation method based on power flow, applied to the power system carbon metering simulation system based on power flow as described in any one of claims 1-6, characterized in that, The methods include: Obtain the target power system scenario, and configure the node attributes of the source-side simulation node, grid-side simulation node, and load-side simulation node, as well as the logical connection relationship between each simulation node, according to the target power system scenario; Based on the logical connection relationship between each simulation node, a power flow topology representing the power flow direction between each simulation node is constructed. The corresponding electrical signal parameters are determined based on the node attributes of each simulation node, a synchronization control signal is generated, and each programmable simulation source is controlled to output an independently configurable electrical signal to the corresponding carbon meter at the same time according to the synchronization control signal. Each carbon collection terminal collects the energy metering data and carbon metering data generated by the corresponding carbon meter under the action of the electrical signal; Based on the power flow topology and the carbon metering data, carbon data calculation is performed to obtain the carbon calculation results for each simulation node. The carbon calculation results for each simulation node are then compared with the corresponding carbon metering data to output the verification results.

8. The power system carbon metering simulation method based on power flow according to claim 7, characterized in that, Configure the node attributes of the source-side simulation node, network-side simulation node, and load-side simulation node, including: Configure the power source type, carbon emission factor determination parameters, and voltage level of the source-side simulation node; Configure the voltage level of the network-side simulation nodes; Configure the energy consumption attributes and self-provided power supply attributes of the load-side simulation nodes.

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