Comprehensive energy distribution network system considering carbon emission

Abstract

The invention discloses a comprehensive energy distribution network system considering carbon emission, relates to the technical field of comprehensive energy distribution networks, and aims to solve the problem that carbon emission data of a power distribution network is not accurately acquired. According to the method, the source and degree of each data source in the actual energy data can be better understood by acquiring the accurate carbon emission factors, so that targeted emission reduction measures are formulated, the influence on the environment is reduced, the carbon emission in each data source of the actual energy data can be quantitatively analyzed by utilizing the carbon emission factor model, and the analysis accuracy is improved. The carbon emission factor model can quickly and accurately calculate the carbon emission in the actual energy data, a scientific basis is provided for an emission reduction plan, the first abnormal data and the second abnormal data are used as the abnormal data of the carbon emission in the final to-be-processed carbon emission data, and the carbon emission source and the carbon emission degree are obtained. And the clearness and accuracy of the finally obtained effective abnormal data are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy distribution network, and in particular to an integrated energy distribution network system taking carbon emissions into account. Background Art

[0002] Comprehensive energy distribution network refers to the effective integration of various energy sources such as electricity, heat, oil, gas, coal, etc. in a specific area to achieve the goals of coordinated planning, collaborative management, optimized operation and complementarity of heterogeneous energy.

[0003] The Chinese patent with publication number CN115408808A discloses a multi-time scale optimization scheduling method for energy distribution network system taking carbon emissions into account. The method mainly realizes the recycling of carbon dioxide in the system by capturing carbon dioxide emitted from carbon emission sources through carbon capture equipment and supplying it to power-to-gas equipment. On this basis, three demand-side response load models are also constructed to reduce the carbon emissions of the system through multiple ways such as carbon emission equipment improvement and demand-side response load. Although the above patent solves the problem of carbon emission calculation, there are still the following problems in actual operation: 1. No further abnormal emissions were made to the carbon emission data, resulting in unclear actual carbon emissions and standard carbon emissions.

[0004] 2. The actual energy data was not screened for data anomalies against the preset standard energy data, which resulted in the staff being unable to handle the abnormal energy data in the first place.

[0005] 3. The operation data and environmental data of the distribution network are not further acquired and processed, resulting in incomplete data collection of the distribution network and inaccurate calculation of carbon emissions. Summary of the invention

[0006] The purpose of the present invention is to provide a comprehensive energy distribution network system that takes carbon emissions into account. By obtaining accurate carbon emission factors, the source and extent of each data source in the actual energy data can be better understood, so as to formulate targeted emission reduction measures and reduce the impact on the environment. The carbon emission factor model can be used to quantitatively analyze the carbon emissions in each data source of the actual energy data to understand the source and extent of carbon emissions. The carbon emission factor model can quickly and accurately calculate the carbon emissions in the actual energy data, providing a scientific basis for the emission reduction plan. The first abnormal data and the second abnormal data are used as the abnormal data of carbon emissions in the final carbon emission data to be processed, ensuring the clarity and accuracy of the effective abnormal data finally obtained, which can solve the problems in the prior art.

[0007] To achieve the above object, the present invention provides the following technical solutions: An integrated energy distribution system that takes into account carbon emissions, including: The distribution network operation data and environmental data confirmation unit is used to: The operation data and environmental data of the distribution network are collected separately, and the operation data and environmental data are quality checked and preprocessed respectively; Energy data distribution and collection unit, used for: The initial energy data of the distribution network area is acquired, the initial energy data is allocated according to the preset energy allocation strategy, the actual energy data of the distribution network area is collected, and abnormal data is extracted from the actual energy data and the initial energy data.

[0008] Energy data carbon emissions calculation unit for: Confirm the carbon emission factor of each energy source based on the actual energy data of the distribution network area, and derive the carbon emission amount based on the carbon emission factor, and mark the carbon emission amount data as carbon emission data to be processed; Distribution network data optimization and dispatching unit, used for: The carbon emission data to be processed is tested, and the abnormal data in the carbon emission data to be processed is determined based on the test results, and an adjustment plan is formulated based on the threshold range of the abnormal data.

[0009] Preferably, the distribution network operation data and environment data confirmation unit includes: Run the data acquisition module to: First, determine the operating data source in the distribution network, where the operating data source includes power equipment, sensors, and automation equipment; Confirm the power load data, line parameter data, status data, capacity-to-load ratio data, and load rate data in each operating data source; After confirmation is completed, the first waiting-for-processing operation data is obtained.

[0010] Preferably, the distribution network operation data and environment data confirmation unit further includes: Environmental data collection module for: First, determine the environmental data sources in the distribution network, where the environmental data sources include meteorological monitoring stations, environmental sensors, and power equipment operation status monitoring systems; Confirm the temperature, humidity, and pollutant emission data in each environmental data source; After confirmation is completed, the first environmental data to be processed is obtained.

[0011] Preferably, the distribution network operation data and environment data confirmation unit further includes: Data validation and preprocessing module for: Compare and verify the first environment data to be processed and the first operation data to be processed with the standard environment data and the standard operation data; If the first environmental data to be processed is not within the qualified range of the standard environmental data after comparison and verification, the data not within the qualified range is marked as the second environmental data to be processed; If the first operation data to be processed is not within the qualified range of the standard operation data after comparison and verification, the data not within the qualified range is marked as the second operation data to be processed; The second operation data to be processed and the second environmental data to be processed are respectively matched to the data source of the power distribution network, and the data source of the power distribution network is adjusted.

[0012] Preferably, the energy data distribution and collection unit comprises: Initial energy data allocation module for: Confirm the standard energy data required for the operation data source and the environmental data source in the distribution network respectively; After confirmation, the energy data required by the standard will be used as the initial energy data of the corresponding operation data source and environmental data source; The initial energy data and the corresponding operating data source and environmental data source are uniquely coded and labeled.

[0013] Preferably, the energy data distribution and collection unit comprises: Actual energy data acquisition module for: Confirm the actual energy consumption data in the operation data source and the environmental data source in the distribution network respectively, and mark them as actual energy data; The actual energy data is compared with the initial energy data. If the value of the actual energy data is greater than the initial energy data, the corresponding data source will be marked as abnormal data.

[0014] Preferably, the energy data carbon emissions calculation unit includes: Carbon emission factor confirmation module, used to: Confirm the carbon emission factor based on the actual energy data and the data source corresponding to the actual energy data; Among them, the calculation method of the carbon emission factor is selected according to the data source corresponding to the actual energy data, and the calculation methods include the calculation of the carbon emission factor of electricity and the calculation of the carbon emission factor of thermal energy; A carbon emission factor model is established according to the calculation method of the carbon emission factor, and the established carbon emission factor model is used as the carbon emission data to be confirmed.

[0015] Preferably, the energy data carbon emissions calculation unit further includes: Carbon emissions verification module for: Input the actual energy data into the carbon emission factor model. After the input is completed, the carbon emission factor data of the actual energy data is obtained through the carbon emission factor model, and the carbon emissions are calculated based on the carbon emission factor data; The formula for calculating carbon emissions is as follows: Q=Z×R Among them, Q represents carbon emissions; Z represents actual energy data; R represents carbon emission factor data; The calculated carbon emission data is marked as carbon emission data to be processed.

[0016] Preferably, the distribution network data optimization scheduling unit is used for; Conduct periodic sequence detection on the carbon emission data to be processed; Determine whether the carbon emission data to be processed is periodic series data according to the detection results; When the detection result is periodic sequence data, the carbon emission data to be processed is divided according to the period, and multiple groups of identical first subsequences are obtained; Determine whether all values ​​in the first subsequence are greater than a preset value, wherein the preset value is standard energy carbon emission data, and retrieve it from the database; If so, extract the first abnormal value in the first subsequence that is greater than the preset value, determine the time intervals between the adjacent first abnormal values, and determine whether the time intervals are within the preset time interval range; If so, the first abnormal value and the time interval are taken as the first abnormal data; otherwise, the first abnormal value is determined to be invalid.

[0017] Preferably, the distribution network data optimization scheduling unit is further used for: When the detection result is non-periodic sequence data, a one-dimensional clustering method is used to perform clustering operations on the carbon emission data to be processed, and multiple segmentation points are obtained, and the numerical sequence is divided using the multiple segmentation points; After the division, a plurality of different second subsequences are obtained, and a third subsequence having a value greater than a preset value is obtained from the second subsequence; and determining an abnormal time interval of the third subsequence based on a position of the third subsequence in the numerical sequence; and obtaining a fourth subsequence whose abnormal time interval of the adjacent third subsequence is within the preset time interval range, and using the fourth subsequence and the abnormal time interval as second abnormal data; Perform periodic marking on the first abnormal data to obtain first valid abnormal data, and perform non-periodic marking on the second abnormal data to obtain second valid abnormal data; The first valid abnormal data and the second valid abnormal data are used as the abnormal data of carbon emissions in the final carbon emission data to be processed; The abnormal data is converted into numerical values, the converted values ​​are compared with the standard values, and the abnormality level is judged according to the comparison threshold, where the abnormality level is divided into level one abnormality, level two abnormality and level three abnormality; Adjustment plans are formulated based on the abnormality level.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. The comprehensive energy distribution network system taking carbon emissions into account provided by the present invention collects operating data and environmental data in the distribution network, can monitor the operating status of the power grid in real time, promptly discover and solve potential problems, thereby improving power supply efficiency, and can understand the operating efficiency of the equipment and the utilization of energy, which helps to find bottlenecks and inefficient links in operation, and correspond the second operating data to be processed and the second environmental data to be processed to the distribution network data source, thereby further optimizing the resource allocation of equipment in each area of ​​the distribution network.

[0019] 2. The comprehensive energy distribution network system taking carbon emissions into account provided by the present invention can better understand the source and extent of each data source in the actual energy data by obtaining accurate carbon emission factors, so as to formulate targeted emission reduction measures and reduce the impact on the environment. The carbon emission factor model can be used to quantitatively analyze the carbon emissions in each data source of the actual energy data to understand the source and extent of carbon emissions. The carbon emission factor model can quickly and accurately calculate the carbon emissions in the actual energy data, providing a scientific basis for emission reduction plans.

[0020] 3. The comprehensive energy distribution network system taking carbon emissions into account provided by the present invention uses the first abnormal data and the second abnormal data as abnormal data of carbon emissions in the final carbon emission data to be processed, ensuring the clarity and accuracy of the effective abnormal data finally obtained, thereby providing a basis for determining and making decisions on the numerical values ​​of the data, facilitating self-judgment of the data, and formulating plans based on the abnormality level to further improve the efficiency of adjusting the carbon emissions of the distribution network, thereby taking targeted emission reduction measures for the distribution network and greatly improving the environmental quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a module schematic diagram of the comprehensive energy distribution network system taking carbon emissions into account according to the present invention; Figure 2 It is a schematic diagram of the overall method flow of the present invention. DETAILED DESCRIPTION

[0022] 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. 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.

[0023] In order to solve the problem in the prior art that the operation data and environmental data of the distribution network are not further acquired and processed before the carbon emissions of the distribution network are acquired, thus resulting in inaccurate calculation of carbon emissions due to incomplete data collection of the distribution network, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: An integrated energy distribution system that takes into account carbon emissions, including: The distribution network operation data and environmental data confirmation unit is used to: The operation data and environmental data of the distribution network are collected separately, and the operation data and environmental data are quality checked and preprocessed respectively; Energy data distribution and collection unit, used for: The initial energy data of the distribution network area is acquired, the initial energy data is allocated according to the preset energy allocation strategy, the actual energy data of the distribution network area is collected, and abnormal data is extracted from the actual energy data and the initial energy data.

[0024] Energy data carbon emissions calculation unit for: Confirm the carbon emission factor of each energy source based on the actual energy data of the distribution network area, and derive the carbon emission amount based on the carbon emission factor, and mark the carbon emission amount data as carbon emission data to be processed; Distribution network data optimization and dispatching unit, used for: The carbon emission data to be processed is tested, and the abnormal data in the carbon emission data to be processed is determined based on the test results, and an adjustment plan is formulated based on the threshold range of the abnormal data.

[0025] Specifically, the distribution network operation data and environmental data confirmation unit collects and analyzes the operation data and environmental data to further optimize the resource allocation of equipment in each area of ​​the distribution network and ensure the stable operation of the power system in the distribution network. The energy data distribution and collection unit compares the actual energy data with the initial energy data, and judges the abnormal actual energy data based on the comparison results. The staff can first conduct a preliminary investigation of various data sources in the distribution network through the abnormal data, and obtain accurate carbon emission factors through the energy data carbon emission calculation unit, so as to better understand the source and degree of each data source in the actual energy data. The first abnormal data and the second abnormal data are used as the abnormal data of carbon emissions in the final carbon emission data to be processed by the distribution network data optimization and scheduling unit, so as to ensure the clarity and accuracy of the effective abnormal data finally obtained.

[0026] The distribution network operation data and environmental data confirmation unit includes: Run the data acquisition module to: First, determine the operating data source in the distribution network, where the operating data source includes power equipment, sensors, and automation equipment; Confirm the power load data, line parameter data, status data, capacity-to-load ratio data, and load rate data in each operating data source; After confirmation is completed, the first waiting-for-processing operation data is obtained.

[0027] Environmental data collection module for: First, determine the environmental data sources in the distribution network, where the environmental data sources include meteorological monitoring stations, environmental sensors, and power equipment operation status monitoring systems; Confirm the temperature, humidity, and pollutant emission data in each environmental data source; After confirmation is completed, the first environmental data to be processed is obtained.

[0028] Data validation and preprocessing module for: Compare and verify the first environment data to be processed and the first operation data to be processed with the standard environment data and the standard operation data; If the first environmental data to be processed is not within the qualified range of the standard environmental data after comparison and verification, the data not within the qualified range is marked as the second environmental data to be processed; If the first operation data to be processed is not within the qualified range of the standard operation data after comparison and verification, the data not within the qualified range is marked as the second operation data to be processed; The second operation data to be processed and the second environmental data to be processed are respectively matched to the data source of the power distribution network, and the data source of the power distribution network is adjusted.

[0029] Specifically, the operation data in the distribution network is first collected through the operation data collection module. The operation state of the distribution network directly affects the power supply efficiency. By collecting and analyzing the environmental data and operation data in the distribution network, the operation state of the power grid can be monitored in real time, potential problems can be discovered and solved in time, thereby improving the power supply efficiency. The environmental data in the distribution network is collected through the environmental data collection module. Through the collection and analysis of the distribution network environmental data, the operation efficiency of the equipment and the utilization of energy can be understood. This helps to find out the bottlenecks and inefficient links in the operation, and then take targeted measures to improve and improve the operation efficiency of the entire distribution network. The collected operation data and environmental data in the distribution network are compared and adjusted with the standard operation data and environmental data through the data verification and preprocessing module, and the second to be processed operation data and the second to be processed environmental data that are not within the qualified range are confirmed, and the second to be processed operation data and the second to be processed environmental data are matched with the distribution network data source. After the correspondence is completed, the distribution network operation data source and the environmental data source are adjusted, thereby further optimizing the resource allocation of equipment in each area of ​​the distribution network and ensuring the stable operation of the power system in the distribution network.

[0030] In order to solve the problem in the prior art that when obtaining the actual energy data of the distribution network, the actual energy data is not screened against the preset standard energy data for data anomalies, which results in the staff being unable to handle the abnormal energy data in the first place, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: Energy data distribution and collection unit, including: Initial energy data allocation module for: Confirm the standard required energy data of the operation data source and the environmental data source in the distribution network respectively; After confirmation, the energy data required by the standard will be used as the initial energy data of the corresponding operation data source and environmental data source; The initial energy data and the corresponding operating data source and environmental data source are uniquely coded and labeled.

[0031] Actual energy data acquisition module for: Confirm the actual energy consumption data in the operation data source and the environmental data source in the distribution network respectively, and mark them as actual energy data; The actual energy data is compared with the initial energy data. If the value of the actual energy data is greater than the initial energy data, the corresponding data source will be marked as abnormal data.

[0032] Specifically, the standard energy data of each data source in the distribution network is confirmed through the initial energy data allocation module, and the initial energy data and the corresponding operation data source and environmental data source are uniquely coded and labeled. The unique coding and labeling further improves the uniqueness and accuracy of the allocation of each standard energy data in the distribution network data source. The actual energy consumption data of each data source in the distribution network is confirmed through the actual energy data acquisition module, and the actual energy data is compared with the initial energy data. The abnormal actual energy data is judged according to the comparison results. The staff can conduct a preliminary investigation of each data source in the distribution network based on the abnormal data, thereby further improving the efficiency of the distribution network operation.

[0033] In order to solve the problem of inaccurate carbon emissions in energy data in the distribution network in the existing technology, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: Energy data carbon emissions calculation unit, including: Carbon emission factor confirmation module, used to: Confirm the carbon emission factor based on the actual energy data and the data source corresponding to the actual energy data; Among them, the calculation method of the carbon emission factor is selected according to the data source corresponding to the actual energy data, and the calculation methods include the calculation of the carbon emission factor of electricity and the calculation of the carbon emission factor of thermal energy; A carbon emission factor model is established according to the calculation method of the carbon emission factor, and the established carbon emission factor model is used as the carbon emission data to be confirmed.

[0034] Carbon emissions verification module for: Input the actual energy data into the carbon emission factor model. After the input is completed, the carbon emission factor data of the actual energy data is obtained through the carbon emission factor model, and the carbon emissions are calculated based on the carbon emission factor data; The formula for calculating carbon emissions is as follows: Q=Z×R Among them, Q represents carbon emissions; Z represents actual energy data; R represents carbon emission factor data; The calculated carbon emission data is marked as carbon emission data to be processed.

[0035] Specifically, the carbon emission factor of each data source in the actual energy data is first obtained through the carbon emission factor confirmation module, where the carbon emission factor is also called the carbon emission coefficient. By obtaining accurate carbon emission factors, we can better understand the source and extent of each data source in the actual energy data, so as to formulate targeted emission reduction measures to reduce the impact on the environment. The carbon emissions of each data source in the actual energy data are calculated through the carbon emission confirmation module. Using the carbon emission factor model, the carbon emissions in each data source of the actual energy data can be quantitatively analyzed to understand the source and extent of carbon emissions. By inputting different energy parameters, the carbon emission factor model can quickly and accurately calculate the carbon emissions in the actual energy data, providing a scientific basis for the emission reduction plan. Quantitative analysis makes the distribution network more targeted in carbon emission management and improves emission reduction efficiency.

[0036] In order to solve the problem that the existing technology does not further analyze the abnormal emission of carbon emission data, resulting in unclear acquisition of actual carbon emission and standard carbon emission, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: Distribution network data optimization and dispatching unit, used for; Conduct periodic sequence detection on the carbon emission data to be processed; Determine whether the carbon emission data to be processed is periodic series data according to the detection results; When the detection result is periodic sequence data, the carbon emission data to be processed is divided according to the period, and multiple groups of identical first subsequences are obtained; Determine whether all values ​​in the first subsequence are greater than a preset value, wherein the preset value is standard energy carbon emission data, and retrieve it from the database; If so, extract the first abnormal value in the first subsequence that is greater than the preset value, determine the time intervals between the adjacent first abnormal values, and determine whether the time intervals are within the preset time interval range; If so, the first abnormal value and the time interval are taken as the first abnormal data; otherwise, the first abnormal value is determined to be invalid.

[0037] When the detection result is non-periodic sequence data, a one-dimensional clustering method is used to perform clustering operations on the carbon emission data to be processed, and multiple segmentation points are obtained, and the numerical sequence is divided using the multiple segmentation points; After the division, a plurality of different second subsequences are obtained, and a third subsequence having a value greater than a preset value is obtained from the second subsequence; and determining an abnormal time interval of the third subsequence based on a position of the third subsequence in the numerical sequence; and obtaining a fourth subsequence whose abnormal time interval of the adjacent third subsequence is within the preset time interval range, and using the fourth subsequence and the abnormal time interval as second abnormal data; Perform periodic marking on the first abnormal data to obtain first valid abnormal data, and perform non-periodic marking on the second abnormal data to obtain second valid abnormal data; The first valid abnormal data and the second valid abnormal data are used as the abnormal data of carbon emissions in the final carbon emission data to be processed; The abnormal data is converted into numerical values, the converted values ​​are compared with the standard values, and the abnormality level is judged according to the comparison threshold, where the abnormality level is divided into level one abnormality, level two abnormality and level three abnormality; Adjustment plans are formulated based on the abnormality level.

[0038] Specifically, firstly, the carbon emission data to be processed is judged periodically, and different methods are used to analyze the periodic sequence and the non-periodic sequence to ensure the focus and efficiency of the sequence analysis. The periodic sequence is divided into the same first subsequence for numerical judgment and time interval. While ensuring that the numerical value meets the abnormal requirements, the time interval is also judged. If the time interval exceeds the preset time interval, it means that the time between the two first abnormal values ​​is long and cannot be used as valid abnormal data. The first abnormal value and time interval are used as the first abnormal data to reduce the redundancy of the abnormal data and ensure the accuracy of the obtained first abnormal data. For the non-periodic sequence, the one-dimensional clustering method is first used to perform clustering operations on the carbon emission data to be processed to obtain multiple segmentation points, so that the division of the segmentation points is more accurate and objective. After the non-periodic sequence is divided, the numerical value and the abnormal time interval are judged in the same way, and finally the second abnormal data is obtained to ensure the accuracy of the obtained second abnormal data. Accuracy. Finally, the first abnormal data and the second abnormal data are used as abnormal data of carbon emissions in the final carbon emission data to be processed, ensuring the clarity and accuracy of the effective abnormal data finally obtained, thereby providing a basis for determining and making decisions on the numerical value of the data, facilitating self-judgment of the data, and then formulating different adjustment plans according to the abnormal level of each abnormal data. Among them, the first-level abnormality is the carbon emission data with the highest abnormal level. When the abnormal data is the first-level abnormality, it means that the difference between the carbon emission data to be processed and the standard carbon emission data in the distribution network is the largest, and the adjustment plan required is also the highest. The second-level abnormality is second only to the first-level abnormality, and the third-level abnormality is second only to the second-level abnormality. The first-level abnormality, the second-level abnormality and the third-level abnormality correspond to different adjustment plans respectively. Formulating plans according to the abnormality level further improves the efficiency of carbon emission adjustment of the distribution network, thereby carrying out targeted emission reduction measures for the distribution network and greatly improving the environmental quality.

[0039] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0040] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An integrated energy distribution network system taking carbon emissions into account, characterized in that: include: The distribution network operation data and environmental data confirmation unit is used to: The operation data and environmental data of the distribution network are collected separately, and the operation data and environmental data are quality checked and preprocessed respectively; Energy data distribution and collection unit, used for: Acquire the initial energy data of the distribution network area, distribute the initial energy data according to the preset energy distribution strategy, collect the actual energy data of the distribution network area, and extract abnormal data from the actual energy data and the initial energy data; Energy data carbon emissions calculation unit for: Confirm the carbon emission factor of each energy source based on the actual energy data of the distribution network area, and derive the carbon emission amount based on the carbon emission factor, and mark the carbon emission amount data as carbon emission data to be processed; Distribution network data optimization and dispatching unit, used for: The carbon emission data to be processed is tested, and the abnormal data in the carbon emission data to be processed is determined based on the test results, and an adjustment plan is formulated based on the threshold range of the abnormal data.

2. The integrated energy distribution network system taking carbon emissions into account according to claim 1 is characterized in that: The distribution network operation data and environment data confirmation unit includes: Run the data acquisition module to: First, determine the operating data source in the distribution network, where the operating data source includes power equipment, sensors, and automation equipment; Confirm the power load data, line parameter data, status data, capacity-to-load ratio data, and load rate data in each operating data source; After confirmation is completed, the first waiting-for-processing operation data is obtained.

3. The integrated energy distribution network system taking carbon emissions into account according to claim 2 is characterized in that: The distribution network operation data and environment data confirmation unit also includes: Environmental data collection module for: First, determine the environmental data sources in the distribution network, where the environmental data sources include meteorological monitoring stations, environmental sensors, and power equipment operation status monitoring systems; Confirm the temperature, humidity, and pollutant emission data in each environmental data source; After confirmation is completed, the first environmental data to be processed is obtained.

4. The integrated energy distribution network system taking carbon emissions into account according to claim 3 is characterized in that: The distribution network operation data and environment data confirmation unit also includes: Data validation and preprocessing module for: Compare and verify the first environment data to be processed and the first operation data to be processed with the standard environment data and the standard operation data; If the first environmental data to be processed is not within the qualified range of the standard environmental data after comparison and verification, the data not within the qualified range is marked as the second environmental data to be processed; If the first operation data to be processed is not within the qualified range of the standard operation data after comparison and verification, the data not within the qualified range is marked as the second operation data to be processed; The second operation data to be processed and the second environmental data to be processed are respectively matched to the data source of the power distribution network, and the data source of the power distribution network is adjusted.

5. The integrated energy distribution network system taking carbon emissions into account according to claim 4 is characterized by: The energy data distribution and collection unit comprises: Initial energy data allocation module for: Confirm the standard energy data required for the operation data source and the environmental data source in the distribution network respectively; After confirmation, the energy data required by the standard will be used as the initial energy data of the corresponding operation data source and environmental data source; The initial energy data and the corresponding operating data source and environmental data source are uniquely coded and labeled.

6. The integrated energy distribution network system taking carbon emissions into account according to claim 5 is characterized in that: The energy data distribution and collection unit comprises: Actual energy data acquisition module for: Confirm the actual energy consumption data in the operation data source and the environmental data source in the distribution network respectively, and mark them as actual energy data; The actual energy data is compared with the initial energy data. If the value of the actual energy data is greater than the initial energy data, the corresponding data source will be marked as abnormal data.

7. The integrated energy distribution network system taking carbon emissions into account according to claim 6 is characterized by: The energy data carbon emission calculation unit includes: Carbon emission factor confirmation module, used to: Confirm the carbon emission factor based on the actual energy data and the data source corresponding to the actual energy data; Among them, the calculation method of the carbon emission factor is selected according to the data source corresponding to the actual energy data, and the calculation methods include the calculation of the carbon emission factor of electricity and the calculation of the carbon emission factor of thermal energy; A carbon emission factor model is established according to the calculation method of the carbon emission factor, and the established carbon emission factor model is used as the carbon emission data to be confirmed.

8. The integrated energy distribution network system taking carbon emissions into account according to claim 7 is characterized in that: The energy data carbon emission calculation unit further includes: Carbon emissions verification module for: Input the actual energy data into the carbon emission factor model. After the input is completed, the carbon emission factor data of the actual energy data is obtained through the carbon emission factor model, and the carbon emissions are calculated based on the carbon emission factor data; The formula for calculating carbon emissions is as follows: Q=Z×R Among them, Q represents carbon emissions; Z represents actual energy data; R represents carbon emission factor data; The calculated carbon emission data is marked as carbon emission data to be processed.

9. The integrated energy distribution network system taking carbon emissions into account according to claim 8, characterized in that: The distribution network data optimization scheduling unit is used for; Conduct periodic sequence detection on the carbon emission data to be processed; Determine whether the carbon emission data to be processed is periodic series data according to the detection results; When the detection result is periodic sequence data, the carbon emission data to be processed is divided according to the period, and multiple groups of identical first subsequences are obtained; Determine whether all values ​​in the first subsequence are greater than a preset value, wherein the preset value is standard energy carbon emission data, and retrieve it from the database; If so, extract the first abnormal value in the first subsequence that is greater than the preset value, determine the time intervals between the adjacent first abnormal values, and determine whether the time intervals are within the preset time interval range; If so, the first abnormal value and the time interval are taken as the first abnormal data; otherwise, the first abnormal value is determined to be invalid.

10. The integrated energy distribution network system taking carbon emissions into account according to claim 9, characterized in that: The distribution network data optimization and scheduling unit is further used for: When the detection result is non-periodic sequence data, a one-dimensional clustering method is used to perform clustering operations on the carbon emission data to be processed, and multiple segmentation points are obtained, and the numerical sequence is divided using the multiple segmentation points; After the division, a plurality of different second subsequences are obtained, and a third subsequence having a value greater than a preset value is obtained from the second subsequence; and determining an abnormal time interval of the third subsequence based on a position of the third subsequence in the numerical sequence; and obtaining a fourth subsequence whose abnormal time interval of the adjacent third subsequence is within the preset time interval range, and using the fourth subsequence and the abnormal time interval as second abnormal data; Perform periodic marking on the first abnormal data to obtain first valid abnormal data, and perform non-periodic marking on the second abnormal data to obtain second valid abnormal data; The first valid abnormal data and the second valid abnormal data are used as the abnormal data of carbon emissions in the final carbon emission data to be processed; The abnormal data is converted into numerical values, the converted values ​​are compared with the standard values, and the abnormality level is judged according to the comparison threshold, where the abnormality level is divided into level one abnormality, level two abnormality and level three abnormality; Adjustment plans are formulated based on the abnormality level.

Images