A method and system for determining carbon emissions of a distribution network system

Abstract

The present invention discloses a method and system for determining carbon emissions of a distribution network system, including determining a carbon emission simulation calculation model of a target distribution network; inputting the collected flow distribution data, distributed power source data, and energy storage operation data of the target distribution network into the carbon emission simulation calculation model to obtain a first carbon emission calculation result of the target distribution network; determining the carbon emission scenario type corresponding to the target distribution network based on the unit parameters of the target distribution network; obtaining a second carbon emission calculation result of the target distribution network according to a carbon emission calculation strategy corresponding to the carbon emission scenario type; and comparing and analyzing the first carbon emission calculation result and the second carbon emission calculation result to determine the carbon emission result of the target distribution network. The method for determining carbon emissions of a distribution network system provided by an embodiment of the present invention realizes a quantitative evaluation of the carbon emission degree of the distribution network, and at the same time, by defining different carbon emission scenarios of the distribution network, realizes an evaluation of the carbon emission reduction potential of the distribution network.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emissions, and in particular to a method and system for determining carbon emissions of a distribution network system. Background Art

[0002] With the global climate change, distribution network is an important part of the power system.

[0003] In existing technologies, the calculation of carbon emissions is not accurate. Inaccurate carbon emission accounting data will lead to deviations in the assessment of emission reduction effects by the whole society. It is impossible to accurately measure the actual progress of emission reduction, and it is difficult to judge whether carbon emission reduction policies and measures are effective, thus making it impossible to adjust and optimize emission reduction strategies in a timely manner.

[0004] It can be seen that how to improve the calculation accuracy of carbon emissions has become a technical problem that needs to be urgently solved by those skilled in the art. Summary of the invention

[0005] The present invention provides a method and system for determining carbon emissions of a distribution network system to solve the technical problem of inaccurate calculation of carbon emissions, so as to achieve the effect of improving the calculation accuracy of carbon emissions.

[0006] In order to solve the above technical problems, an embodiment of the present invention provides a method for determining carbon emissions of a distribution network system, comprising:

[0007] Determining a carbon emission simulation calculation model for the target distribution network;

[0008] Inputting the collected power flow distribution data, distributed power source data and energy storage operation data of the target distribution network into the carbon emission simulation calculation model to obtain a first carbon emission calculation result of the target distribution network;

[0009] Determining a carbon emission scenario type corresponding to the target distribution network based on the unit parameters of the target distribution network;

[0010] Obtaining a second carbon emission calculation result of the target distribution network according to a carbon emission calculation strategy corresponding to the carbon emission scenario type;

[0011] The first carbon emission calculation result and the second carbon emission calculation result are compared and analyzed to determine the carbon emission result of the target distribution network.

[0012] As one of the preferred solutions, before inputting the collected power flow distribution data, distributed power source data and energy storage operation data of the target distribution network into the carbon emission simulation calculation model, the method further includes:

[0013] The power flow distribution data, the distributed power source data and the energy storage operation data are preprocessed, and the preprocessing steps include data cleaning, data integration, data transformation and data reduction.

[0014] As one of the preferred solutions, determining the carbon emission scenario type corresponding to the target distribution network based on the unit parameters of the target distribution network includes:

[0015] An active distribution network planning model is constructed based on the unit parameters of the target distribution network to determine the carbon emission scenario type corresponding to the target distribution network, wherein the unit parameters of the target distribution network include the proportion of renewable energy access, the proportion of energy storage configuration, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms.

[0016] As one of the preferred solutions, according to the carbon emission calculation strategy corresponding to the carbon emission scenario type, a second carbon emission calculation result of the target distribution network is obtained, and the carbon emission calculation strategy includes:

[0017] Based on the entropy weight method, the weights corresponding to the renewable energy access ratio, the energy storage configuration ratio, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms are respectively determined; based on the weights, the renewable energy access ratio, the energy storage configuration ratio, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms, the second carbon emission calculation result of the target distribution network is obtained.

[0018] As one preferred solution, after comparing and analyzing the first carbon emission calculation result and the second carbon emission calculation result to determine the carbon emission result of the target distribution network, the distribution network system carbon emission determination method further includes:

[0019] The mean square error is used to perform error analysis on the deviation between the first carbon emission calculation result and the second carbon emission calculation result, so as to optimize the carbon emission simulation calculation model.

[0020] Another embodiment of the present invention provides a system for determining carbon emissions of a distribution network system, comprising:

[0021] A simulation module, used to determine a carbon emission simulation calculation model of the target distribution network;

[0022] A first calculation module, used for inputting the collected power flow distribution data, distributed power source data and energy storage operation data of the target distribution network into the carbon emission simulation calculation model to obtain a first carbon emission calculation result of the target distribution network;

[0023] A determination module, configured to determine a carbon emission scenario type corresponding to the target distribution network based on the unit parameters of the target distribution network;

[0024] A second calculation module, configured to obtain a second carbon emission calculation result of the target distribution network according to a carbon emission calculation strategy corresponding to the carbon emission scenario type;

[0025] A comparison module is used to compare and analyze the first carbon emission calculation result and the second carbon emission calculation result to determine the carbon emission result of the target distribution network.

[0026] As one of the preferred solutions, before inputting the collected power flow distribution data, distributed power source data and energy storage operation data of the target distribution network into the carbon emission simulation calculation model, the method further includes:

[0027] A preprocessing module is used to preprocess the power flow distribution data, the distributed power supply data and the energy storage operation data, and the preprocessing steps include data cleaning, data integration, data transformation and data reduction.

[0028] As one of the preferred solutions, determining the carbon emission scenario type corresponding to the target distribution network based on the unit parameters of the target distribution network includes:

[0029] An active distribution network planning model is constructed based on the unit parameters of the target distribution network to determine the carbon emission scenario type corresponding to the target distribution network, wherein the unit parameters of the target distribution network include the proportion of renewable energy access, the proportion of energy storage configuration, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms.

[0030] As one of the preferred solutions, according to the carbon emission calculation strategy corresponding to the carbon emission scenario type, a second carbon emission calculation result of the target distribution network is obtained, and the carbon emission calculation strategy includes:

[0031] Based on the entropy weight method, the weights corresponding to the renewable energy access ratio, the energy storage configuration ratio, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms are respectively determined; based on the weights, the renewable energy access ratio, the energy storage configuration ratio, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms, the second carbon emission calculation result of the target distribution network is obtained.

[0032] As one preferred solution, after comparing and analyzing the first carbon emission calculation result and the second carbon emission calculation result to determine the carbon emission result of the target distribution network, the distribution network system carbon emission determination method further includes:

[0033] The analysis module is used to perform error analysis on the deviation between the first carbon emission calculation result and the second carbon emission calculation result by using mean square error, so as to optimize the carbon emission simulation calculation model.

[0034] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0035] (1) By calculating the difference between the carbon emission calculation results of the target distribution network and the simulation results, the carbon emission results of the target distribution network are determined, which realizes the quantitative evaluation of the carbon emission degree of the distribution network and improves the accuracy of carbon emission calculation;

[0036] (2) The present invention defines different carbon emission scenarios for distribution networks to evaluate the carbon emission reduction potential of distribution networks and formulate carbon emission reduction measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a flow chart of a method for determining carbon emissions of a distribution network system in one embodiment of the present invention;

[0038] Figure 2 It is a structural diagram of a carbon emission determination system for a distribution network system in one embodiment of the present invention.

[0039] Reference numerals:

[0040] Among them, 11, simulation module; 12, first calculation module; 13, determination module; 14, second calculation module; 15, comparison module. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] In the description of this application, the terms "first", "second", "third", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of the feature. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0043] In the description of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. The terms "vertical", "horizontal", "left", "right", "upper", "lower" and similar expressions used herein are only for illustrative purposes, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0044] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as those commonly understood by those skilled in the art. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood by specific circumstances.

[0045] An embodiment of the present invention provides a method for determining carbon emissions of a distribution network system. For details, see Figure 1 , Figure 1 The flowchart of a method for determining carbon emissions of a distribution network system in one embodiment of the present invention is shown, comprising:

[0046] S1: Determine a carbon emission simulation calculation model for the target distribution network;

[0047] S2: inputting the collected power flow distribution data, distributed power source data and energy storage operation data of the target distribution network into the carbon emission simulation calculation model to obtain a first carbon emission calculation result of the target distribution network;

[0048] S3: Determine the carbon emission scenario type corresponding to the target distribution network based on the unit parameters of the target distribution network;

[0049] S4: Obtaining a second carbon emission calculation result of the target distribution network according to a carbon emission calculation strategy corresponding to the carbon emission scenario type;

[0050] S5: Compare and analyze the first carbon emission calculation result and the second carbon emission calculation result to determine the carbon emission result of the target distribution network.

[0051] In S1, the active distribution network planning model is used to determine the carbon emission simulation calculation model of the target distribution network. The active distribution network planning model emphasizes the active consumption and multi-level coordinated utilization of various types of renewable energy with the help of active network management (ANM) at the level of the entire distribution network. Before the active distribution network planning model is constructed, it is necessary to consider the distribution network planning requirements, distributed power generation requirements, and energy storage requirements. It uses particle swarm optimization algorithms, genetic algorithms, etc. to solve the optimization problems in the planning model.

[0052] Before processing the power flow distribution data, distributed power source data and energy storage operation data of the target distribution network, these data need to be preprocessed. The preprocessing includes:

[0053] Data cleaning: including missing value processing, outlier processing and data deduplication, to ensure the completeness of data rows;

[0054] Data integration: also known as data merging and data association. Data merging is the merging of data from different data sources to form a complete data set. For data with correlation, such as flow distribution data, distributed power supply data, energy storage operation data, etc., data association processing is required. Through data association, the connection between data can be established, providing a basis for subsequent data analysis and mining.

[0055] Data transformation: refers to converting raw data into a format or range suitable for mining, so as to better analyze and mine;

[0056] Data reduction: The purpose is to obtain a simplified representation of the data set in order to reduce the amount of data, improve mining efficiency and reduce storage costs. It mainly includes dimension reduction, quantity reduction, etc.

[0057] In step S2, the collected power flow distribution data, distributed power source data and energy storage operation data of the target distribution network specifically include:

[0058] (1) Distribution network electricity data: annual power supply of the distribution network, annual electricity sales, annual total power generation of self-built distributed power sources, and annual total electricity purchases of self-built distributed power sources.

[0059] (2) Technical parameters of distributed power generation: types, scales and characteristic curves of typical daily power generation in four seasons, and future planning for distributed power generation construction.

[0060] (3) Distribution and utilization system network structure: the topological structure of the distribution and utilization system nodes and branches, as well as the transmission capacity and loss characteristics of the branches.

[0061] (4) Flow calculation results: distribution network flow calculation results.

[0062] (5) Energy storage information: capacity of the energy storage device, maximum charging power, maximum discharging power, maximum charging capacity, overall efficiency, response time, power injected by the energy storage element into the distribution system, and the state of charge of the energy storage device.

[0063] The above preprocessed data is input into the carbon emission simulation calculation model to obtain a first carbon emission calculation result of the target distribution network, and the first carbon emission calculation result is obtained by simulating the preprocessed data by the carbon emission simulation calculation model.

[0064] An active distribution network planning model is constructed based on the unit parameters of the target distribution network to determine the carbon emission scenario type corresponding to the target distribution network. The unit parameters of the target distribution network include the proportion of renewable energy access, energy storage configuration proportion, adjustable load, AC / DC networking technology configuration and the number of carbon trading platforms.

[0065] Based on the five dimensions of renewable energy access ratio, energy storage configuration ratio, adjustable load, AC / DC networking technology configuration and the number of carbon trading platforms in the distribution network, the type of carbon emission scenario can be determined. Carbon emission scenario types can be divided into the following four categories: excellent resources, clean energy cannot be effectively utilized, high network loss and limited resources, and high network loss and scarce resources. The division of each scenario is based on specific resource conditions and technical configurations, which accurately reflects the resource utilization efficiency and challenges in different scenarios.

[0066] Taking the resource-excellent type as an example, the resource-excellent type represents a high proportion of new energy power generation and energy storage equipment, more flexible load resources, certain financial markets and carbon trading platforms, and rich AC and DC networking technologies; similarly, the type where new energy cannot be effectively utilized, has a high proportion of new energy power generation, certain financial markets and carbon trading platforms, rich AC and DC networking technologies but lacks a certain scale of energy storage configuration, and new energy cannot be effectively absorbed; the high network loss and limited resource type, has a moderate proportion of new energy power generation, a low proportion of energy storage, limited adjustable load, certain financial markets and carbon trading platforms, and a high network loss value; the high network loss and scarce resource type, has a low proportion of new energy power generation, a large load, limited adjustable load resources, and a lack of certain financial markets and carbon trading platforms locally.

[0067] By executing corresponding carbon emission calculation strategies according to different carbon emission scenario types, a second carbon emission calculation result of the target distribution network can be obtained.

[0068] Specifically, the calculation process of the carbon emission calculation strategy is as follows:

[0069] Based on the entropy weight method, the weights corresponding to the renewable energy access ratio, energy storage configuration ratio, adjustable load, AC / DC networking technology configuration and the number of carbon trading platforms are determined respectively. Based on the weights, renewable energy access ratio, energy storage configuration ratio, adjustable load, AC / DC networking technology configuration and the number of carbon trading platforms, the second carbon emission calculation result of the target distribution network is obtained.

[0070] The specific steps are as follows:

[0071] Step 1: Standardize the data of the distribution network indicators to be evaluated, and de-dimensionalize the proportion of renewable energy access, energy storage configuration ratio, adjustable load, AC / DC networking technology configuration, and the number of carbon trading platforms;

[0072] Step 2: The proportion of the computer group parameters in the distribution network is calculated, thereby calculating the information entropy of the parameters;

[0073] Step 3: Calculate the weight coefficient of the group parameters under the carbon emission scenario type according to the information entropy value.

[0074] After comparing and analyzing the first carbon emission calculation result and the second carbon emission calculation result to determine the carbon emission result of the target distribution network, the mean square error is used to perform error analysis on the deviation between the first carbon emission calculation result and the second carbon emission calculation result to optimize the carbon emission simulation calculation model.

[0075] An embodiment of the present invention provides a system for determining carbon emissions of a distribution network system. For details, see Figure 2 , Figure 2 The structure diagram of a carbon emission determination system for a distribution network system in one embodiment of the present invention is shown, including:

[0076] A simulation module is used to determine the carbon emission simulation calculation model of the target distribution network;

[0077] A first calculation module is used to input the collected power flow distribution data, distributed power source data and energy storage operation data of the target distribution network into the carbon emission simulation calculation model to obtain a first carbon emission calculation result of the target distribution network;

[0078] A determination module, used to determine the carbon emission scenario type corresponding to the target distribution network based on the unit parameters of the target distribution network;

[0079] A second calculation module, used to obtain a second carbon emission calculation result of the target distribution network according to a carbon emission calculation strategy corresponding to the carbon emission scenario type;

[0080] The comparison module is used to compare and analyze the first carbon emission calculation result and the second carbon emission calculation result to determine the carbon emission result of the target distribution network.

[0081] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0082] (1) By calculating the difference between the carbon emission calculation results of the target distribution network and the simulation results, the carbon emission results of the target distribution network are determined, which realizes the quantitative evaluation of the carbon emission degree of the distribution network and improves the accuracy of carbon emission calculation;

[0083] (2) The present invention defines different carbon emission scenarios for distribution networks to evaluate the carbon emission reduction potential of distribution networks and formulate carbon emission reduction measures.

[0084] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for determining carbon emissions of a distribution network system, characterized in that: include: Determining a carbon emission simulation calculation model for the target distribution network; Inputting the collected power flow distribution data, distributed power source data and energy storage operation data of the target distribution network into the carbon emission simulation calculation model to obtain a first carbon emission calculation result of the target distribution network; Determining a carbon emission scenario type corresponding to the target distribution network based on the unit parameters of the target distribution network; Obtaining a second carbon emission calculation result of the target distribution network according to a carbon emission calculation strategy corresponding to the carbon emission scenario type; The first carbon emission calculation result and the second carbon emission calculation result are compared and analyzed to determine the carbon emission result of the target distribution network.

2. The method for determining carbon emissions of a distribution network system according to claim 1, characterized in that: Before inputting the collected power flow distribution data, distributed power source data and energy storage operation data of the target distribution network into the carbon emission simulation calculation model, the method further includes: The power flow distribution data, the distributed power source data and the energy storage operation data are preprocessed, and the preprocessing steps include data cleaning, data integration, data transformation and data reduction.

3. The method for determining carbon emissions of a distribution network system according to claim 1, characterized in that: The determining, based on the unit parameters of the target distribution network, the carbon emission scenario type corresponding to the target distribution network includes: An active distribution network planning model is constructed based on the unit parameters of the target distribution network to determine the carbon emission scenario type corresponding to the target distribution network, wherein the unit parameters of the target distribution network include the proportion of renewable energy access, the proportion of energy storage configuration, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms.

4. The method for determining carbon emissions of a distribution network system according to claim 3, characterized in that: According to the carbon emission calculation strategy corresponding to the carbon emission scenario type, a second carbon emission calculation result of the target distribution network is obtained, wherein the carbon emission calculation strategy includes: Based on the entropy weight method, the weights corresponding to the renewable energy access ratio, the energy storage configuration ratio, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms are respectively determined; based on the weights, the renewable energy access ratio, the energy storage configuration ratio, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms, the second carbon emission calculation result of the target distribution network is obtained.

5. The method for determining carbon emissions of a distribution network system according to claim 1, characterized in that: After comparing and analyzing the first carbon emission calculation result and the second carbon emission calculation result to determine the carbon emission result of the target distribution network, the distribution network system carbon emission determination method further includes: The mean square error is used to perform error analysis on the deviation between the first carbon emission calculation result and the second carbon emission calculation result, so as to optimize the carbon emission simulation calculation model.

6. A distribution network system carbon emission determination system, characterized in that: include: A simulation module, used to determine a carbon emission simulation calculation model of the target distribution network; A first calculation module, used for inputting the collected power flow distribution data, distributed power source data and energy storage operation data of the target distribution network into the carbon emission simulation calculation model to obtain a first carbon emission calculation result of the target distribution network; A determination module, configured to determine a carbon emission scenario type corresponding to the target distribution network based on the unit parameters of the target distribution network; A second calculation module, configured to obtain a second carbon emission calculation result of the target distribution network according to a carbon emission calculation strategy corresponding to the carbon emission scenario type; A comparison module is used to compare and analyze the first carbon emission calculation result and the second carbon emission calculation result to determine the carbon emission result of the target distribution network.

7. The carbon emission determination system of the distribution network system according to claim 6, characterized in that: Before inputting the collected power flow distribution data, distributed power source data and energy storage operation data of the target distribution network into the carbon emission simulation calculation model, the method further includes: A preprocessing module is used to preprocess the power flow distribution data, the distributed power supply data and the energy storage operation data, and the preprocessing steps include data cleaning, data integration, data transformation and data reduction.

8. The carbon emission determination system of the distribution network system according to claim 6, characterized in that: The determining, based on the unit parameters of the target distribution network, the carbon emission scenario type corresponding to the target distribution network includes: An active distribution network planning model is constructed based on the unit parameters of the target distribution network to determine the carbon emission scenario type corresponding to the target distribution network, wherein the unit parameters of the target distribution network include the proportion of renewable energy access, the proportion of energy storage configuration, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms.

9. The carbon emission determination system of the distribution network system according to claim 8, characterized in that: According to the carbon emission calculation strategy corresponding to the carbon emission scenario type, a second carbon emission calculation result of the target distribution network is obtained, wherein the carbon emission calculation strategy includes: Based on the entropy weight method, the weights corresponding to the renewable energy access ratio, the energy storage configuration ratio, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms are respectively determined; based on the weights, the renewable energy access ratio, the energy storage configuration ratio, the adjustable load, the AC / DC networking technology configuration and the number of carbon trading platforms, the second carbon emission calculation result of the target distribution network is obtained.

10. The carbon emission determination system of the distribution network system according to claim 6, characterized in that: After comparing and analyzing the first carbon emission calculation result and the second carbon emission calculation result to determine the carbon emission result of the target distribution network, the distribution network system carbon emission determination method further includes: The analysis module is used to perform error analysis on the deviation between the first carbon emission calculation result and the second carbon emission calculation result by using mean square error, so as to optimize the carbon emission simulation calculation model.

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