Forward supply scheme decision-making method based on section power flow simulation
By constructing a power supply topology and simulating historical electricity consumption data, the compliance of power grid sections is automatically verified, solving the problems of time consumption and errors in power grid transfer schemes, and realizing efficient and safe power transfer scheme decision-making.
Patent Information
- Application Number
- CN202510737643.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-04
- Publication Date
- 2025-10-28
AI Technical Summary
In the decision-making process of power grid transfer schemes, existing technologies are time-consuming and cumbersome, prone to component omissions and judgment errors, resulting in low power grid operation safety and efficiency.
By constructing a power supply topology and parsing the component list corresponding to each section, simulation calculations are performed based on historical power consumption data, and the compliance of affected sections is automatically verified by combining preset thresholds, and a transfer log is generated to improve decision-making efficiency and security.
It significantly improves the efficiency of power transfer scheme decision-making, reduces manual operation time, reduces design errors, enhances the flexibility and safety of power grid operation, and optimizes resource allocation.
Smart Images

Figure CN120855341A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power grid equipment control technology, specifically to a power transfer scheme decision-making method based on cross-sectional power flow simulation. Background Technology
[0002] With regional development, electricity demand increases, especially during peak summer and winter periods, which can easily lead to problems such as heavy loads and overloads on power grid sections. This requires professional operators to make timely decisions and adjust the power grid operation mode to transfer some heavily loaded components to other sections with lighter loads. When applying for equipment plans or temporary power outages for maintenance, operators need to make decisions on transferring the load affected by equipment shutdowns to other sections.
[0003] However, in the process of deciding on a power transfer scheme, it is necessary to verify the possibility and rationality of the transfer, and to determine whether the overload problem can be eliminated after the transfer, and whether the transferred section will experience overload problems. It is necessary to extract the historical power flow values of each component of the section one by one, and then calculate them using formulas to obtain the power flow changes of the section under the current or given operating mode under historical operating conditions. Based on recent data, historical maximum data, etc., it is possible to determine the likelihood of the section experiencing overload or overload problems in the future under this operating mode.
[0004] During this period, the operators need to click on the wiring diagrams of each plant where all components are located to query the historical power flow of each component. However, the number of components is large and they are scattered, so the query process takes a lot of time. When the simulation adjusts the operation mode, it will affect the adjustment of more cross-section components, requiring more historical power flow data to be queried and the formulas to be rewritten for calculation. This can easily lead to errors such as omissions and duplications of cross-section components and incomplete consideration of the scope of impact.
[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention
[0006] The purpose of this invention is to address the problem that local state adjustments in circuit equipment can affect the overall deployment, leading to low security and efficiency of power transfer schemes. This invention proposes a power transfer scheme decision-making method based on cross-sectional power flow simulation. By analyzing the operating status of the equipment, the component list corresponding to each cross-section is determined and the compliance parameters of each cross-section are extracted. Based on the component list, the affected cross-sections can be quickly identified, and the security of the affected cross-sections can be determined based on the compliance parameters. In this way, the security of the power transfer scheme can be quickly determined.
[0007] One technical solution provided in this embodiment of the invention is a power transfer scheme decision-making method based on cross-sectional power flow simulation, which includes the following steps: S1. Construct a power supply topology based on equipment file information and analyze it in conjunction with equipment operation information to obtain the component list corresponding to the section. S2. Based on historical electricity consumption data, perform simulation calculations on the current cross-sectional power flow to determine the cross-sectional compliance parameters. Determine whether the cross-sectional compliance parameters meet the compliance verification. If they do, proceed to S4; otherwise, proceed to S3. S3. Based on the supply adjustment instruction, revise the component list to determine the affected sections. Use the simulation calculation method in S2 to determine the compliance of the affected sections. If they comply, proceed to S4; otherwise, proceed to S3. S4. Generate a transfer log.
[0008] Preferably, the step of constructing a power supply topology based on equipment file information and parsing it in conjunction with equipment operation information to obtain the component list corresponding to the cross section includes the following steps: Based on the information in the archives of high-voltage distribution network equipment in the region, a power supply topology for the power grid equipment is constructed. Combined with the real-time operating status of the equipment, the list of components that can be powered at each section of the power supply topology is analyzed synchronously.
[0009] As a preferred option, the current power receiving section is selected as the current section, and the section with physical power supply and receiving capabilities but not power is selected as the alternative section. The list of components currently supplying power is used as the current component list, and the list of components that have physical power supply and receiving capabilities but are not supplying power is used as the alternative component list.
[0010] As a preferred method, the compliance parameters of the current cross-section are determined by simulating the current power flow based on historical electricity consumption data; this includes the following steps: According to the set collection cycle, historical power consumption data of each device is obtained from the database and stored as vector data in categories. The simulated tidal current value for each section is calculated based on the tidal current calculation formula and vector data, and the tidal current curve is plotted. The section compliance parameters are then extracted from the tidal current curve.
[0011] As a preferred option, the power flow calculation formula is as follows: S=β*(X1+X2+X3+…+X p ); S max =β*(X 1max +X 2max +X 3max +…+X pmax ); S min =β*(X 1min +X 2min +X 3min +…+X pmin ); Where S is the cross-sectional tidal current value; S maxS represents the maximum tidal current value of the cross section. min X is the minimum tidal current value of the cross section. p X represents the historical power consumption data of the p-th element; pmax X represents the maximum historical power consumption data of the p-th element; pmin β is the minimum historical power consumption data of the p-th element; β is a preset coefficient.
[0012] Preferably, the cross-sectional compliance parameters include the maximum value of the tidal current, the minimum value of the tidal current, the maximum value of the absolute value of the tidal current, and the minimum value of the absolute value of the tidal current.
[0013] Preferably, the affected sections are determined by revising the component list according to the supply adjustment instruction; this includes the following steps: The target adjustment element is determined based on the transfer adjustment instruction, and the affected section is determined based on the source of the target adjustment element.
[0014] Preferably, the affected section is determined based on the source of the target adjustment element, including the following steps: Selecting the alternative section of the target adjustment element moves the element from the current element list of the original current section to the alternative element list, and adds it to the current element list of the new section. The current section and alternative section information of the element are updated as the affected section.
[0015] As a preferred method, determining whether the cross-sectional compliance parameters meet the compliance verification includes the following steps: The compliance parameters of the affected sections are determined based on the power flow calculation formula, and compliance is confirmed by comparing them with the power grid safe operation threshold. The specific steps include the following: When the maximum power flow value is less than or equal to the overload threshold, the power grid is deemed to be operating safely. If it is a positive power flow, the minimum power flow value is greater than zero and less than or equal to the overload threshold, then the power grid operation is considered safe. If the power flow is reversed, and the maximum absolute value is less than or equal to the overload threshold, the power grid is considered to be operating safely. The cross-sectional compliance parameters include the maximum power flow value, minimum power flow value, maximum absolute power flow value, and minimum absolute power flow value of the cross-section; the power grid safe operation thresholds include the heavy load threshold and the overload threshold; the heavy load threshold = 0.8 * rated capacity; the overload threshold = rated capacity.
[0016] Preferably, the transfer log includes at least the security assessment results, component identification, pre-switch profile, post-switch profile, and adjustment timestamp.
[0017] The beneficial effects of this invention are: (1) In view of the technical problem that the traditional power transfer scheme decision requires manual review of the plant wiring diagram and query of component power flow data, which is time-consuming and cumbersome, this application adopts the method of constructing the power supply topology and parsing the corresponding component list of each section, and simulating and calculating the compliance parameters of the section based on historical data, which significantly improves the efficiency of power transfer scheme decision and reduces the time spent on manual operation. (2) In view of the technical problems that are easy to make judgment errors such as component omission and duplication and new section overload after transfer in the design of traditional power transfer schemes, this application adopts dynamic association of section information with component list and automatic verification of compliance of affected sections by combining preset thresholds, which significantly reduces the design error of power transfer scheme and improves the safety of power grid operation. (3) In response to the technical problems of difficulty in sorting out transfer resources and lack of flexibility in dealing with load fluctuations or equipment maintenance when the power grid operation mode is adjusted, this application adopts the method of dividing the cross section and component list into "current / alternate" types, constructing a flexible transfer resource pool and supporting historical data backtracking and prediction, thereby achieving the technical effect of enhancing the flexibility and adaptability of the power grid operation mode adjustment and optimizing resource allocation.
[0018] The above description of the invention is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description
[0019] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings. The drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings.
[0020] Figure 1 This is a flowchart of the power transfer scheme decision-making method based on cross-sectional power flow simulation of the present invention.
[0021] Figure 2 This is a simulation result of the maximum and minimum value curves of the cross section within one year according to the present invention. Detailed Implementation
[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only one preferred embodiment of this invention and are only used to explain this invention. They do not limit the scope of protection of this invention. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.
[0023] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations (or steps) can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but it may also have additional steps not included in the figures; the process may correspond to a method, function, procedure, subroutine, subroutine, etc.
[0024] Example: Figure 1 As shown, the power transfer scheme decision-making method based on cross-sectional power flow simulation includes the following steps: S1. Construct a power supply topology based on equipment file information and analyze it in conjunction with equipment operation information to obtain the component list corresponding to the section.
[0025] Specifically, the step of constructing a power supply topology based on equipment file information and parsing it in conjunction with equipment operation information to obtain the component list corresponding to the cross-section includes the following steps: Based on the information in the archives of high-voltage distribution network equipment in the region, a power supply topology for the power grid equipment is constructed. Combined with the real-time operating status of the equipment, the list of components that can be powered at each section of the power supply topology is analyzed synchronously.
[0026] Furthermore, the current power receiving section is designated as the current section, and sections with physical power supply and receiving capabilities but not currently receiving power are designated as alternative sections; the current power supply component list is designated as the current component list, and the component list with physical power supply and receiving capabilities but not currently receiving power is designated as the alternative component list.
[0027] Understandably, by acquiring the equipment archive information of the regional high-voltage distribution network, a power supply topology diagram of the regional power grid equipment can be constructed. Combined with the operating status of switches and disconnectors, a list of components contained in each section can be obtained, representing the current operating mode. Assuming all switches and disconnectors are in a closed operating state, all energized sections of each component in the physical topology can be obtained, along with a list of components that can supply power to each section. After parsing, by inputting a section, a list of components currently supplying power to that section (current components) and a list of components that are currently capable of supplying power but not (alternative components) can be obtained. For each component, the currently energized section (hereinafter referred to as "current section") and the sections that are capable of supplying power but not (alternative sections) can also be obtained. This provides a data foundation for quickly identifying affected sections when adjusting the status of subsequent local components.
[0028] As a specific example of this embodiment, the following is an example: Suppose we have a1, a2...a p b1, b2…b qThere are a total of p+q components, and two cross sections, S1 and S2, a1, a2…a p S1 and S2 have power supply and receiving capabilities in the physical topology, and are currently powered by S1; b1, b2…b q S1 and S2 have power supply and receiving capabilities in the physical topology, and are currently powered by S2. Therefore, analysis of the power supply topology diagram shows: 1) The current component list for section S1 includes a1, a2…a p There are a total of p components, and the list of alternative components includes b1, b2...b q There are a total of q components; 2) The current component list for section S2 includes b1, b2…b q There are a total of q components, and the list of alternative components includes a1, a2...a p There are a total of p components; 3) Components a1, a2…a p Both analyses show that S1 is the current cross section, and S2 is the candidate cross section. 4) Components b1, b2…b q Both analyses show that S2 is the current cross section, while S1 is the alternative cross section.
[0029] S2. Based on historical electricity consumption data, perform simulation calculations to determine the current cross-sectional power flow parameters and assess whether the parameters meet compliance requirements. If compliant, proceed to S4; otherwise, proceed to S3.
[0030] As an optional embodiment, the compliance parameters of the current cross-section are determined by simulating the power flow at the current cross-section based on historical electricity consumption data; including the following steps: According to the set collection cycle, historical power consumption data of each device is obtained from the database and stored as vector data in categories. The simulated tidal current value for each section is calculated based on the tidal current calculation formula and vector data, and the tidal current curve is plotted. The section compliance parameters are then extracted from the tidal current curve.
[0031] Furthermore, the cross-sectional compliance parameters include the maximum value of the tidal current, the minimum value of the tidal current, the maximum value of the absolute tidal current, and the minimum value of the absolute tidal current.
[0032] It is understood that this embodiment uses historical power consumption data of the equipment to simulate and calculate the power flow at each cross-section under the current equipment operating mode. The specific steps are as follows: 1) First, the time range of historical power consumption data needs to be given. It should be noted that the time range cannot be modified during subsequent power flow simulation and component status adjustment. 2) Based on the current component list and the alternative component list for a given section, determine whether historical electricity consumption data has been found for each component. For components without historical data, generate SQL statements to query historical electricity consumption data, and parse and save the query results. Considering the large amount of original data, when the query time range is greater than 7 days, automatically convert the SQL query for querying historical electricity consumption data into querying the maximum and minimum values of historical daily electricity consumption data. 3) After all the historical power consumption data of all components are complete, extract the current historical power consumption data of the components in that section and substitute it into the power flow calculation formula for calculation; 4) This completes the cross-sectional tidal current simulation, plots the historical tidal current curve, and obtains the maximum, minimum, maximum absolute value, and minimum absolute value of the simulation result curve.
[0033] As an optional embodiment, the power flow calculation formula is as follows: S=β*(X1+X2+X3+…+X p ); S max =β*(X 1max +X 2max +X 3max +…+X pmax ); S min =β*(X 1min +X 2min +X 3min +…+X pmin ); Where S is the cross-sectional tidal current value; S max S represents the maximum tidal current value of the cross section. min X is the minimum tidal current value of the cross section. p X represents the historical power consumption data of the p-th element; pmax X represents the maximum historical power consumption data of the p-th element; pmin β is the minimum historical power consumption data of the p-th element; β is a preset coefficient.
[0034] As a specific example of this embodiment, the following is an example: Suppose we have a1, a2...a p b1, b2…b q There are a total of p+q elements and section S1, where a1, a2…a p The current element of S1; b1, b2…b q The components are alternatives to S1. The query time range is set from 2024 / 01 / 01 00:00:00 to 2025 / 01 / 01 00:00:00. If no historical data is queried for any of these components, then: 1) Since its time span is greater than 7 days, it is automatically converted to find its daily maximum and minimum values; 2) Generate SQL statements. Taking a MySQL database as an example, assuming that the data for component a1 is stored in column col_a1 of table_a1, the data for component a2 is stored in column col_a2 of table_a2, and so on, with the time column stored in the occurrence_time column of each table, then the SQL statement would be: select * from (select occur_time, max(col_a1), min(col_a1) fromtable_a1 where occur_time>= to_date('2024-01-01 00:00:00, 'yyyy-mm-dd hh24:mi:ss') and occur_time <to_date('2025-01-01 00:00:00', 'yyyy-mm-dd hh24:mi:ss') group by to_char(occur_time, 'yyyy-mm-dd') order by to_char(occur_time,'yyyy-mm-dd') asc) union all select * from (select occur_time, max(col_a2), min(col_a2) fromtable_a2 where occur_time>= to_date('2024-01-01 00:00:00, 'yyyy-mm-dd hh24:mi:ss') and occur_time <to_date('2025-01-01 00:00:00', 'yyyy-mm-dd hh24:mi:ss') group by to_char(occur_time, 'yyyy-mm-dd') order by to_char(occur_time,'yyyy-mm-dd') asc) union all … select * from (select occur_time, max(col_bq), min(col_bq) fromtable_bq where occur_time>= to_date('2024-01-01 00:00:00, 'yyyy-mm-dd hh24:mi:ss') and occur_time <to_date('2025-01-01 00:00:00', 'yyyy-mm-dd hh24:mi:ss') group by to_char(occur_time, 'yyyy-mm-dd') order by to_char(occur_time,'yyyy-mm-dd') asc) Organize the retrieved data in order, based on components a1, a2…a p b1, b2…b q Store them separately by category; 3) Take out components a1, a2...a p Historical electricity consumption data are denoted as vector X. a1 ,X a2 ,X a3 …X ap The calculation is performed using a formula; assuming the preset coefficient is 1.2, the formula is: S1 = 1.2 * (X a1 +X a2 +X a3 …+X ap When the query returns the maximum / minimum value, the maximum value is respectively the value of vector X. a1max ,X a2max ,X a3max …X apmax The minimum values are vector X. a1min ,X a2min ,X a3min …X apmin The equation is: S 1max =1.2*(X a1max +X a2max +X a3max …+X apmax ) S 1min =1.2*(X a1min +X a2min +X a3min …+X apmin ) 4) The time range is a given time range, based on S1 or S 1max With S1min Plot the corresponding simulation results and extract the maximum, minimum, absolute maximum, and absolute minimum values, such as... Figure 2 The figure shown is a simulation result of the maximum and minimum value curves of a certain cross section over a year.
[0035] As an optional embodiment, determining whether the cross-sectional compliance parameters meet the compliance verification includes the following steps: The compliance parameters of the affected sections are determined based on the power flow calculation formula, and compliance is confirmed by comparing them with the power grid safe operation threshold. The specific steps include the following: When the maximum power flow value is less than or equal to the overload threshold, the power grid is deemed to be operating safely. If it is a positive power flow, the minimum power flow value is greater than zero and less than or equal to the overload threshold, then the power grid operation is considered safe. If the power flow is reversed, and the maximum absolute value is less than or equal to the overload threshold, the power grid is considered to be operating safely.
[0036] The cross-sectional compliance parameters include the maximum value of the current flow, the minimum value of the current flow, the maximum absolute value of the current flow, and the minimum absolute value of the current flow.
[0037] The power grid safe operation thresholds include a heavy load threshold and an overload threshold; the heavy load threshold = 0.8 * rated capacity; the overload threshold = rated capacity.
[0038] S3. Based on the transfer adjustment instruction, revise the component list to determine the affected sections. Use the simulation calculation method in S2 to determine the compliance of the affected sections. If they comply, proceed to S4; otherwise, proceed to S3.
[0039] As an optional embodiment, the affected cross-section is determined by modifying the component list according to the transfer adjustment instruction; including the following steps: The target adjustment element is determined based on the transfer adjustment instruction, and the affected section is determined based on the source of the target adjustment element.
[0040] As an optional embodiment, determining the affected cross-section based on the source of the target adjustment element includes the following steps: Selecting the alternative section of the target adjustment element moves the element from the current element list of the original current section to the alternative element list, and adds it to the current element list of the new section. The current section and alternative section information of the element are updated as the affected section.
[0041] It is understandable that this embodiment addresses the problems of missed affected sections and delayed adjustment response in traditional power transfer adjustments due to manual analysis. By accurately locating the target component through the power transfer adjustment command, and based on the component's "current section / alternate section" attribute, the target component is automatically moved from the current component list of the original current section to the current component list of the new section, and the alternative component list is updated; the physical connection relationship between the component and the section is dynamically associated, and all affected sections (such as the original section and the newly connected section) involved in the adjustment operation are identified in real time. Without the need for manual review of topology diagrams, a dynamic component list update mechanism quickly locates all affected sections involved in power transfer adjustments, avoiding omissions or misjudgments. Furthermore, an automated mapping of adjustment operations is achieved through a structured data model (current / alternative component list), reducing manual review time. This is particularly suitable for multi-component batch power transfer scenarios. Simultaneously, automated logic based on topology analysis replaces manual judgment, eliminating adjustment errors caused by scattered component distribution and large quantities, ensuring the accuracy of the power transfer plan. When the grid operation after power transfer is non-compliant, the component list can be further adjusted via power transfer adjustment commands, and the cross-sectional power flow can be quickly calculated to verify the compliance of the cross-sections, significantly improving the efficiency of power transfer plan generation.
[0042] As a specific example of this embodiment, the following is an example: Suppose we have a1, a2...a p b1, b2…b q There are a total of p+q components and S1 and S22 sections, where the current component list of S1 contains a1, a2...a p The list of alternative components includes b1, b2...b q The current component list of S2 contains b1, b2...b q The list of alternative components includes a1, a2...a p ,but: 1) Components a1, a2…a p The current cross-section is S1, and the alternative cross-section is S2; components b1, b2…b q The current cross section is S2, and the alternative cross section is S1; 2) Assuming that component a1 needs to adjust its operating mode and the power supply section is changed from S1 to S2, then: 1. The current component list for section S1 contains a2…a p The list of alternative components includes a1, b1, b2...b q ; 2. The current component list for section S2 contains a1, b1, b2...b q The list of alternative components includes a2…a p ; 3. The current cross-section of component a1 is S2, and the alternative cross-section is S1; 3) S1 and S2 are the affected sections.
[0043] S4. Generate a transfer log.
[0044] As an optional embodiment, the transfer log includes at least the security assessment results, component identification, pre-switch profile, post-switch profile, and adjustment timestamp.
[0045] As a specific example of this embodiment, the following is an example: Suppose we have a1, a2...a p b1, b2…b q There are a total of p+q components and S1 and S22 sections, where the current component list of S1 contains a1, a2...a p The list of alternative components includes b1, b2...b q The current component list of S2 contains b1, b2...b q The list of alternative components includes a1, a2...a p The operating mode has been adjusted as follows: 1) The power supply method for a1 is changed from S1 to S2; 2) The power supply method for b1 is changed from S2 to S1; The exported record result is: 1. The power supply method for a1 is changed from S1 to S2; 2. The power supply method for b1 is changed from S2 to S1.
[0046] In this embodiment, the problem of traditional power transfer safety verification relying on manual calculation and lacking real-time assessment and operation logs is addressed. Based on the power flow calculation formula, the power flow extreme values (compliance parameters) of the affected sections are calculated in real time and automatically compared with preset overload thresholds (0.8 × rated capacity) and overload thresholds (rated capacity). Through automated compliance judgment, immediate feedback is provided on whether the sections are overloaded / overloaded after the power transfer, avoiding the grid operation risks caused by delays in manual calculations and ensuring that the adjustment plan meets safety threshold requirements. A power transfer log containing safety assessment results, component identification, sections before and after the switch, and adjustment timestamps is generated, forming a complete operation record chain. The generated power transfer log provides a complete adjustment trajectory and assessment results, meeting the compliance audit requirements of grid operation and facilitating post-fault review and responsibility determination.
[0047] The specific embodiments described above are preferred embodiments of the power transfer scheme decision-making method based on cross-sectional power flow simulation of the present invention, and are not intended to limit the specific scope of the present invention. The scope of the present invention includes but is not limited to the specific embodiments described above. All equivalent changes made in accordance with the shape and structure of the present invention are within the protection scope of the present invention.
Claims
1. A power transfer scheme decision-making method based on cross-sectional power flow simulation, characterized in that: Includes the following steps: S1. Construct a power supply topology based on equipment file information and analyze it in conjunction with equipment operation information to obtain the component list corresponding to the section. S2. Based on historical electricity consumption data, perform simulation calculations on the current cross-sectional power flow to determine the cross-sectional compliance parameters. Determine whether the cross-sectional compliance parameters meet the compliance verification. If they do, proceed to S4; otherwise, proceed to S3. S3. Based on the supply adjustment instruction, revise the component list to determine the affected sections. Use the simulation calculation method in S2 to determine the compliance of the affected sections. If they comply, proceed to S4; otherwise, proceed to S3. S4. Generate a transfer log.
2. The power transfer scheme decision-making method based on cross-sectional power flow simulation according to claim 1, characterized in that, The process of constructing a power supply topology based on equipment file information and parsing it in conjunction with equipment operation information to obtain the component list corresponding to the cross-section includes the following steps: Based on the information in the archives of high-voltage distribution network equipment in the region, a power supply topology for the power grid equipment is constructed. Combined with the real-time operating status of the equipment, the list of components that can be powered at each section of the power supply topology is analyzed synchronously.
3. The power transfer scheme decision-making method based on cross-sectional power flow simulation according to claim 2, characterized in that, The current power receiving section is used as the current section, and the sections with physical power supply and receiving capabilities but not powered are used as alternative sections. The list of components currently supplying power is used as the current component list, and the list of components that have physical power supply and receiving capabilities but are not supplying power is used as the alternative component list.
4. The power transfer scheme decision-making method based on cross-sectional power flow simulation according to claim 1, characterized in that, Based on historical electricity consumption data, simulation calculations are performed on the current power flow at the cross-section to determine the compliance parameters of the cross-section; this includes the following steps: According to the set collection cycle, historical power consumption data of each device is obtained from the database and stored as vector data in categories. The simulated tidal current value for each section is calculated based on the tidal current calculation formula and vector data, and the tidal current curve is plotted. The section compliance parameters are then extracted from the tidal current curve.
5. The power transfer scheme decision-making method based on cross-sectional power flow simulation according to claim 4, characterized in that, The formula for calculating the current flow is as follows: S=β*(X1+X2+X3+…+X p ); S max =β*(X 1max +X 2max +X 3max +…+X pmax ); S min =β*(X 1min +X 2min +X 3min +…+X pmin ); Where S is the cross-sectional tidal current value; S max S represents the maximum tidal current value at the cross section. min X is the minimum tidal current value of the cross section. p X represents the historical power consumption data of the p-th element; pmax X represents the maximum historical power consumption data of the p-th element; pmin β is the minimum historical power consumption data of the p-th element; β is a preset coefficient.
6. The power transfer scheme decision-making method based on cross-sectional power flow simulation according to claim 1, characterized in that, The cross-sectional compliance parameters include the maximum value of the tidal current, the minimum value of the tidal current, the maximum absolute value of the tidal current, and the minimum absolute value of the tidal current.
7. The power transfer scheme decision-making method based on cross-sectional power flow simulation according to claim 1, characterized in that, The affected sections are determined by revising the component list according to the supply adjustment instructions; this includes the following steps: The target adjustment element is determined based on the transfer adjustment instruction, and the affected section is determined based on the source of the target adjustment element.
8. The power transfer scheme decision-making method based on cross-sectional power flow simulation according to claim 7, characterized in that, The affected cross-section is determined based on the source of the target adjustment component, including the following steps: Selecting the alternative section of the target adjustment element moves the element from the current element list of the original current section to the alternative element list, and adds it to the current element list of the new section. The current section and alternative section information of the element are updated as the affected section.
9. The power transfer scheme decision-making method based on cross-sectional power flow simulation according to claim 5, characterized in that, Determining whether the cross-sectional compliance parameters meet the compliance verification includes the following steps: The compliance parameters of the affected sections are determined based on the power flow calculation formula, and compliance is confirmed by comparing them with the power grid safe operation threshold. The specific steps include the following: When the maximum power flow value is less than or equal to the overload threshold, the power grid is deemed to be operating safely. If it is a positive power flow, the minimum power flow value is greater than zero and less than or equal to the overload threshold, then the power grid operation is considered safe. If the power flow is reversed, and the maximum absolute value is less than or equal to the overload threshold, the power grid is considered to be operating safely. The cross-sectional compliance parameters include the maximum value of the current flow, the minimum value of the current flow, the maximum value of the absolute value of the current flow, and the minimum value of the absolute value of the current flow. The power grid safe operation thresholds include a heavy load threshold and an overload threshold; the heavy load threshold = 0.8 * rated capacity; The overload threshold is equal to the rated capacity.
10. The power transfer scheme decision-making method based on cross-sectional power flow simulation according to claim 1, characterized in that, The transfer log includes at least the security assessment results, component identification, pre-switch section, post-switch section, and adjustment timestamp.