CN-121981742-A - Analysis method and device for green electricity and carbon emission cooperative scheduling

CN121981742ACN 121981742 ACN121981742 ACN 121981742ACN-121981742-A

Abstract

The application provides an analysis method and device for green electricity and carbon emission collaborative scheduling, which comprises the steps of obtaining a piecewise active loss value and a transmitting end unit carbon emission of each power transmission channel, corresponding the piecewise active loss value to the physical position of each line section according to the geographic segmentation topology of the power transmission channel to obtain the actual loss space distribution of the channel, obtaining the loss allocation of a high-loss long-distance channel corresponding to the power transmission channel with the carbon footprint attribution result inverted, counting the critical change value of the ratio offset of the accumulated loss rate of each section and the transmitting end loss allocation on the inverted path to determine the identification threshold of the inverted path, screening the power transmission channels with the accumulated loss rate exceeding the identification threshold of the inverted path, and analyzing the wind-solar resource superiority and the generating side carbon emission intensity of the corresponding transmitting ends of the channels to determine the dynamic selection condition of the low-carbon path.

Inventors

JIAN YUMIN
ZHANG YONG
ZHANG ZHIWEI

Assignees

上海达卯科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260408

Claims (10)

1. An analysis method for green electricity and carbon emission collaborative scheduling, which is characterized by comprising the following steps: The method comprises the steps of obtaining a piecewise active loss value and a unit carbon emission amount of a transmitting end of each power transmission channel, and corresponding the piecewise active loss value to a physical position of each line section according to a geographic segmentation topology of the power transmission channel to obtain actual loss space distribution of the channels; Distributing the unit carbon emission amount of the sending end to the sending and receiving ends according to the actual loss space distribution, determining the loss distribution proportion of the sending and receiving ends, and respectively calculating the carbon emission factor reached by the receiving ends under the two modes of distributing the sending and receiving ends according to the proportion and the loss total attribution of the receiving ends; based on channel-by-channel comparison of the carbon emission factors reached by the receiving ends under two modes of proportionally distributing and losing all the receiving ends, identifying a long-distance channel with proportionally distributing results higher than the result of all the receiving ends, and marking a power transmission path with reversed carbon footprint attribution results in the long-distance channel; determining an identification threshold value of a reverse path according to the power transmission path with the carbon footprint attribution result reversed, screening power transmission channels with the accumulated loss rate exceeding the identification threshold value, and determining a dynamic selection condition of a low-carbon path; Analyzing the digestion degree of the carbon emission path dependence by integrating the actual loss space distribution of the power transmission channel and the loss allocation proportion of the transmitting and receiving end which meet the dynamic selection condition of the low-carbon path, and confirming the optimization form of the carbon footprint attribution result in the green electricity cross-region transportation according to the digestion degree of the carbon emission path dependence; And taking the optimization form of the carbon footprint attribution result in the green electricity cross-region transportation as a benchmark, taking the identification threshold value of the reversal path as a screening boundary of a high-loss channel, taking the dynamic selection condition of the low-carbon path as a channel switching basis, and generating a carbon emission adjustment scheme of the collaborative scheduling platform.
2. The method of claim 1, wherein the obtaining the segment-by-segment active loss values and the unit carbon emissions of the transmitting end for each transmission channel, and the mapping the segment-by-segment active loss values to the physical locations of each line segment according to the geographical segmentation topology of the transmission channel, comprises: Transmitting a data request instruction to a loss distribution acquisition terminal, and acquiring a section-by-section active loss value and a unit carbon emission amount of a transmitting end of each transmission channel from the acquisition terminal; a pre-established transmission channel geographic segmentation topological table is called, wherein the transmission channel geographic segmentation topological table comprises a line section sequence and a geographic coordinate range of each section, wherein each transmission channel sequentially passes through from a transmitting end to a receiving end; and matching the piecewise active loss values to the geographic coordinate ranges of the corresponding sections in the geographic segmentation topology table of the power transmission channel one by one according to the sequence of the sections.
3. The method of claim 1, wherein the allocating the unit carbon emission amount of the sending end to the sending and receiving ends according to the loss proportion of each segment according to the actual loss space distribution and determining the loss allocation proportion of the sending and receiving ends comprises: According to the active loss values of all sections in the actual loss space distribution, calculating the proportion of the active loss values of all sections to the total loss of the circuit, and obtaining the loss duty ratio of all sections; Distributing the carbon emission amount of the sending end unit to each section according to the loss proportion to form carbon emission distribution amount of each section; and accumulating the carbon emission distribution quantity of the sections positioned at the transmitting end side to obtain the carbon emission quantity of the transmitting end, accumulating the carbon emission distribution quantity of the sections positioned at the receiving end side to obtain the carbon emission quantity of the receiving end, and determining the distribution ratio of the carbon emission quantity of the transmitting end to the carbon emission quantity of the receiving end.
4. The method of claim 1, wherein the identifying the remote channel with the scaled allocation result higher than the full home receiver result based on the channel-by-channel comparison of the receiver arrival carbon emission factor in the two modes of scaled allocation and loss of the full home receiver at the sending and receiving ends comprises: and carrying out numerical comparison on the carbon emission factors of the receiving end reaching under the two modes of proportionally distributing and losing all the receiving ends belonging to the same power transmission channel, and identifying the channel of which the carbon emission factor of the receiving end reaching under the proportionally distributing mode is higher than that of the receiving end reaching under the fully-distributed receiving end mode as a long-distance channel of which the proportionally distributing result is higher than that of the fully-distributed receiving end.
5. The method of claim 1, wherein the generating a carbon emission adjustment scheme for a co-scheduling platform based on the optimized morphology of the carbon footprint attribution result in the green electricity trans-regional transportation, using the identification threshold of the reverse path as a screening boundary of a high-loss channel, and using the dynamic selection condition of the low-carbon path as a channel switching basis, comprises: setting the identification threshold as a screening boundary of a high-loss channel, marking a power transmission channel with the accumulated loss rate exceeding the screening boundary as a channel to be screened, and obtaining a screening channel list; Judging whether the transmitting end area of each channel to be screened meets the low-carbon path dynamic selection condition or not according to each channel to be screened in the screening channel list, if so, removing the channel from the screening channel list and marking the channel as a priority scheduling channel, and if not, reserving the mark to be screened; and the priority scheduling channel is brought into a priority transmission sequence, the channel reserved with the mark to be screened is brought into a standby transmission sequence, and the priority transmission sequence and the standby transmission sequence together form a final carbon emission adjustment scheme of the collaborative scheduling platform.
6. An analysis device for green electricity and carbon emission co-scheduling, the device comprising: The first module is used for obtaining the piecewise active loss value and the unit carbon emission of the transmitting end of each power transmission channel, and corresponding the piecewise active loss value to the physical position of each line section according to the geographic segmentation topology of the power transmission channel so as to obtain the actual loss space distribution of the channel; The second module is used for distributing the unit carbon emission amount of the sending end to the sending and receiving ends according to the actual loss space distribution, determining the loss distribution proportion of the sending and receiving ends, and respectively calculating the carbon emission factor reached by the receiving ends under the two modes of the loss distribution proportion of the sending and receiving ends and the loss total attribution of the receiving ends; The third module is used for comparing the receiving ends reaching the carbon emission factors channel by channel based on two modes of proportionally distributing the receiving ends and totally attaching the loss to the receiving ends, identifying a long-distance channel with proportionally distributing results higher than the total receiving end results, and marking a power transmission path with the carbon footprint in the long-distance channel being reversed due to the results; A fourth module, configured to determine an identification threshold of a reverse path according to the power transmission path in which the carbon footprint attribution result is reversed, and determine a dynamic selection condition of a low-carbon path after screening power transmission channels in which the cumulative loss rate exceeds the identification threshold; a fifth module, configured to analyze a digestion degree of a carbon emission path dependency by integrating an actual loss spatial distribution and a transmission-reception end loss allocation ratio of the power transmission channel that satisfy the low-carbon path dynamic selection condition, and confirm an optimized form of a carbon footprint attribution result in green electricity trans-regional transportation according to the digestion degree of the carbon emission path dependency; And a sixth module, configured to use the optimized form of the carbon footprint attribution result in the green electric cross-zone transportation as a reference, take the identification threshold value of the reverse path as a screening boundary of a high-loss channel, and take the dynamic selection condition of the low-carbon path as a channel switching basis, so as to generate a carbon emission adjustment scheme of the collaborative scheduling platform.
7. The apparatus of claim 6, wherein the first module, when obtaining the segment-wise active loss value and the end-to-end unit carbon emission for each transmission channel, to correspond the segment-wise active loss value to the physical location of each line segment according to the geographical segment topology of the transmission channel, comprises: Transmitting a data request instruction to a loss distribution acquisition terminal, and acquiring a section-by-section active loss value and a unit carbon emission amount of a transmitting end of each transmission channel from the acquisition terminal; a pre-established transmission channel geographic segmentation topological table is called, wherein the transmission channel geographic segmentation topological table comprises a line section sequence and a geographic coordinate range of each section, wherein each transmission channel sequentially passes through from a transmitting end to a receiving end; and matching the piecewise active loss values to the geographic coordinate ranges of the corresponding sections in the geographic segmentation topology table of the power transmission channel one by one according to the sequence of the sections.
8. The apparatus of claim 6, wherein the second module, when determining the distribution ratio of the losses at the receiving end by distributing the unit carbon emissions at the receiving end to the receiving end according to the loss ratio of each segment according to the actual loss space distribution, comprises: According to the active loss values of all sections in the actual loss space distribution, calculating the proportion of the active loss values of all sections to the total loss of the circuit, and obtaining the loss duty ratio of all sections; Distributing the carbon emission amount of the sending end unit to each section according to the loss proportion to form carbon emission distribution amount of each section; and accumulating the carbon emission distribution quantity of the sections positioned at the transmitting end side to obtain the carbon emission quantity of the transmitting end, accumulating the carbon emission distribution quantity of the sections positioned at the receiving end side to obtain the carbon emission quantity of the receiving end, and determining the distribution ratio of the carbon emission quantity of the transmitting end to the carbon emission quantity of the receiving end.
9. The apparatus of claim 6, wherein the third module, when performing a channel-by-channel comparison based on the carbon emission factor of the end-to-end in two modes of scaled splitting and loss of all home ends for the end-to-end, identifies a long-distance channel with a scaled splitting result higher than the full home end result, comprises: and carrying out numerical comparison on the carbon emission factors of the receiving end reaching under the two modes of proportionally distributing and losing all the receiving ends belonging to the same power transmission channel, and identifying the channel of which the carbon emission factor of the receiving end reaching under the proportionally distributing mode is higher than that of the receiving end reaching under the fully-distributed receiving end mode as a long-distance channel of which the proportionally distributing result is higher than that of the fully-distributed receiving end.
10. The apparatus of claim 6, wherein the sixth module, when generating the carbon emission adjustment scheme for the co-scheduled platform based on the optimized morphology of the carbon footprint attribution result in the green electrical cross-zone transport, takes the identification threshold of the reverse path as a screening boundary for a high loss channel and the dynamic selection condition of the low carbon path as a channel switching basis, comprises: setting the identification threshold as a screening boundary of a high-loss channel, marking a power transmission channel with the accumulated loss rate exceeding the screening boundary as a channel to be screened, and obtaining a screening channel list; Judging whether the transmitting end area of each channel to be screened meets the low-carbon path dynamic selection condition or not according to each channel to be screened in the screening channel list, if so, removing the channel from the screening channel list and marking the channel as a priority scheduling channel, and if not, reserving the mark to be screened; and the priority scheduling channel is brought into a priority transmission sequence, the channel reserved with the mark to be screened is brought into a standby transmission sequence, and the priority transmission sequence and the standby transmission sequence together form a final carbon emission adjustment scheme of the collaborative scheduling platform.

Description

Analysis method and device for green electricity and carbon emission cooperative scheduling Technical Field The invention relates to the technical field of information, in particular to an analysis method and device for green electricity and carbon emission collaborative scheduling. Background Under the background of energy transformation and low-carbon development, the cooperative scheduling of green power and carbon emission becomes an important research direction in the energy field, and the core is to promote the sustainable development of an energy system by optimizing power transmission and carbon emission distribution. The research in the field not only relates to the improvement of energy utilization efficiency, but also directly influences the realization of the low-carbon targets among the areas, and has important strategic value. In the transregional power transmission system, the transmitting end refers to an area which has rich renewable energy sources such as wind and light and intensively builds a large power generation base, such as northwest areas, and the receiving end refers to an area which has large power demand but insufficient local clean energy and needs to receive power from outside, such as eastern coastal areas. The green power is transmitted to the receiving end from the transmitting end through the ultra-high voltage equal-distance transmission channel, and the trans-regional clean energy consumption is completed. However, current research and practice often ignores the complex influencing factors in the transmission process when dealing with carbon emission attribution problems in the trans-regional transmission of green power, and particularly in long-distance transmission channels, the interference of the spatial distribution of line loss on the carbon emission calculation result is underestimated. Many methods only focus on the carbon emissions of the power generation of the sending end, but fail to fully consider the difference in the distribution manner of the losses between the sending end and the receiving end, resulting in a lack of consistency and accuracy in the evaluation result of the carbon footprint. The defect causes the low-carbon path judgment to be easy to deviate in different scenes, and influences the scientificity of the scheduling decision. The technical difficulty of the deeper level is that the contradiction relation exists between the transmission distance and the space distribution proportion of the line loss on the influence of the carbon emission factor of the receiving end. The farther the transmission distance is, the higher the line loss is, and how the loss is shared between the transmitting end and the receiving end directly determines the carbon emission amount calculation result after the green power reaches the receiving end. For example, if an extra-high voltage direct current channel passes thousands of kilometers from a transmitting end, if all line losses of the channel are attributed to a receiving end, the part of green power consumed by the receiving end may be determined to be high-carbon power due to superposition of losses, and if the losses are distributed according to the respective ratios born by the transmitting and receiving ends, the carbon emission calculation results of the same channel may be completely opposite, and the power actually reached by the receiving end may instead exhibit low-carbon properties. Such fluctuations in carbon emission factor due to the different apportionment methods obscure the choice of low-carbon paths, especially in high-loss long-distance channels, where conventional decision logic may even fail. Therefore, how to accurately evaluate the influence of space allocation of line loss on the carbon emission factor in trans-regional green power transmission and eliminate path judgment deviation caused by different allocation modes becomes a key problem of green power dispatching and carbon emission collaborative optimization. Disclosure of Invention The invention provides an analysis method for green electricity and carbon emission collaborative scheduling, which mainly comprises the following steps: The method comprises the steps of obtaining a piecewise active loss value and a unit carbon emission amount of a transmitting end of each power transmission channel, and corresponding the piecewise active loss value to a physical position of each line section according to a geographic segmentation topology of the power transmission channel to obtain actual loss space distribution of the channels; Distributing the unit carbon emission amount of the sending end to the sending and receiving ends according to the actual loss space distribution, determining the loss distribution proportion of the sending and receiving ends, and respectively calculating the carbon emission factor reached by the receiving ends under the two modes of distributing the sending and receiving ends according to the proportion and the