Optimal scheduling method of transformer area user access phase under multi-time scale
By performing high-granularity line loss calculations and load characteristic analysis at multiple time scales within the transformer area, and combining this with optimized scheduling of metering boxes and branch lines, the problem of load imbalance within the transformer area was solved, achieving balanced power load and reduced losses across the entire transformer area.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID FUJIAN ELECTRIC POWER CO LTD
- Filing Date
- 2023-12-08
- Publication Date
- 2026-06-23
AI Technical Summary
Existing technologies generally have poor applicability and narrow coverage in load balancing and dispatching of distribution areas, and cannot effectively solve the problem of load imbalance among nodes in the distribution area network, resulting in increased line losses.
An optimized scheduling method for user access phases in the transformer area is adopted under multiple time scales. Through high-granularity line loss calculation and load characteristic analysis, combined with the three-phase power load balancing of metering boxes, branch lines and main lines, time-based optimized scheduling is carried out to adjust the user access phases to achieve power load balancing across the entire transformer area.
It improves the applicability of three-phase load balancing in the transformer area, reduces transformer area losses, reduces neutral current, and ensures power quality and safe power supply.
Smart Images
Figure CN117713146B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power grid technology, and specifically to an optimized scheduling method for the access phase of a transformer substation under multiple time scales. Background Technology
[0002] Three-phase load balance within a distribution area is fundamental to safe power supply. Uneven three-phase load can reduce the efficiency of power lines and distribution transformers, and in severe cases, excessive overload on heavily loaded phases can lead to serious consequences such as conductor burnout, switch failure, or even single-phase transformer burnout. Balanced three-phase load is essential to guarantee power quality for users. Severe three-phase load asymmetry causes a shift in neutral point potential, significantly increasing line voltage drop and power loss. Single-phase users connected to heavily loaded phases are prone to low voltage, while those connected to lightly loaded phases are prone to high voltage, creating voltage imbalance, increasing voltage drift, increasing neutral current, and thus increasing line losses. Only with balanced three-phase impedance can the low-voltage leakage protection system operate effectively, preventing electric shock accidents.
[0003] To address the current imbalance in transformer substations, most existing solutions involve evenly distributing the load across different phases to achieve power balance. However, the drawbacks of these existing phase-equalization schemes are:
[0004] (1) Poor universal applicability: The line loss calculation of the transformer area uses representative daily data, the data granularity is relatively coarse, the analysis dimension is relatively simple, and the universal applicability to load balance adjustment is poor.
[0005] (2) Narrow coverage of the scheme: The access phase adjustment strategy is relatively simple, but it only ensures the three-phase load balance at the head end of the transformer area. It ignores the load balance of various nodes such as metering boxes, branches, and trunks in the transformer area network, resulting in some single-phase branches still having unbalanced phenomena, leading to an increase in neutral current and increasing transformer area losses. Summary of the Invention
[0006] The purpose of this invention is to provide an optimized scheduling method for user access phases in a transformer area under multiple time scales. This method has strong applicability, comprehensive coverage, and can reduce transformer area losses.
[0007] To achieve the above objectives, the technical solution adopted by this invention is: an optimized scheduling method for user access phases in a transformer area under multiple time scales, comprising the following steps:
[0008] Step 1: Perform high-granularity theoretical line loss calculations for multiple typical day-based time-of-use distribution areas with different power load characteristics;
[0009] Step 2: Convert the calculation results into curves, analyze the correlation between load imbalance and transformer area loss at each time point, and identify the time period with the greatest impact on transformer area loss.
[0010] Step 3: Perform optimization scheduling analysis for user access in the distribution area. This involves performing optimization scheduling analysis at different times during the period when the load imbalance has the greatest impact on the distribution area's losses, and obtaining the user access scheduling strategy for each time period during which the load imbalance has the greatest impact on the distribution area's losses.
[0011] Step 4: Substitute the user access phase scheduling strategy obtained in Step 3 into multiple typical days with different power load characteristics, and perform calculation and analysis. Select the user access phase scheduling strategy with the minimum total loss of the transformer area on multiple typical days with different power load characteristics. This is the final optimized user access phase scheduling strategy for the transformer area.
[0012] Furthermore, in step one, cross-sectional data of multiple typical days with different power load characteristics are collected. Using the three-phase voltage, three-phase active power, and three-phase reactive power data of 96 points in the total meter of the distribution area in each cross-section, as well as the power and voltage data of 96 points of end users, the theoretical line loss of the distribution area with high granularity is calculated. Finally, the theoretical line loss calculation results of the distribution area at 96 points of multiple typical days with different power load characteristics are obtained, including the power supply, power loss, theoretical line loss rate, and load imbalance data of each node in the network at each time.
[0013] Furthermore, in step three, for a transformer area comprising multiple branches, each branch including multiple meter boxes, an access phase optimization scheduling analysis is performed during periods of load imbalance. This specifically includes the following steps:
[0014] 301) Start the optimization analysis from the meter box of the end branch of the end branch line A. That is, adjust each user in meter box 1 to make the users in meter box 1 achieve three-phase load balance as much as possible, that is, the imbalance is minimized. Then the area of meter box 1 + meter box 1 branch line + branch line segment 1 connecting meter box 1 to meter box 2 can achieve three-phase load balance.
[0015] 302) Adjust meter box 2 again to make the three-phase load of users in meter box 2 as balanced as possible, so that the branch lines of meter box 2 can be balanced;
[0016] 303) Adjust the balance of branch segment 2 and the area below it; compare the three-phase imbalance of meter box 1 and meter box 2 respectively, and use the area with smaller imbalance as the reference to adjust the phase in the meter box with larger imbalance; if the imbalance of meter box 1 is larger, then use meter box 2 as the reference to adjust the phase of meter box 1; at this time, all A phases in meter box 1 are regarded as a whole, all B phases are regarded as a whole, and all C phases are regarded as a whole for adjustment; the adjustment rules are: adjust the maximum load phase of meter box 1 to the minimum load phase phase of meter box 2, adjust the medium load phase of meter box 1 to the medium load phase phase of meter box 2, and adjust the minimum load phase of meter box 1 to the maximum load phase phase of meter box 2.
[0017] Since the branch lines and branch segments where meter boxes 1 and 2 are located should be treated as a whole area, the adjusted phase load in meter box 1 and the corresponding phase load in meter box 2 are added together to calculate the three-phase imbalance.
[0018] 304) Then expand the area to adjust meter box 3. First, adjust the users in meter box 3 to balance, then calculate the three-phase imbalance of meter box 3 and compare it with the imbalance of the whole area after adjustment. Adjust the ones with larger imbalances, and leave the ones with smaller imbalances as the benchmark. If the imbalance of meter box 3 is less than the imbalance of the whole area after adjustment, then treat all A, all B, and all C in the whole area as a whole. Then, according to the adjustment principle, adjust the maximum load phase in the area to the minimum load phase in the benchmark area, adjust the medium load phase in the area to the medium load phase in the benchmark area, and adjust the minimum load phase in the area to the maximum load phase in the benchmark area, thereby completing the three-phase balance optimization adjustment of the whole area. And so on, to complete the three-phase balance optimization adjustment of the entire area of branch line A.
[0019] 305) After the adjustment of branch line A is completed, branch line A is regarded as a whole area and compared with another branch line B for adjustment. The three-phase load imbalance of the trunk line can be adjusted. Finally, the adjustment is made to the outlet side of the distribution transformer, so that the three-phase load balance of each node in the distribution area network can be achieved. The adjustment strategy at this time is the current distribution area user access phase scheduling strategy.
[0020] 306) Adjust the access phase of the cross-section data at the next time step according to the above method; finally, obtain the user access phase scheduling strategy at each time step during the period when the load imbalance has the greatest impact on the loss of the transformer area.
[0021] Furthermore, step four specifically includes the following steps:
[0022] 401) Update the user access phase scheduling policy of the first moment of the period when the load imbalance has the greatest impact on the loss of the distribution area to the user access phase of the distribution area;
[0023] 402) Based on the data collected from multiple typical days in the original transformer area, the theoretical line loss of 96 points in the transformer area at the first moment of multiple typical days is calculated to obtain the theoretical line loss calculation results of the transformer area at the first moment, including load imbalance, total loss of transformer area, and theoretical line loss rate of transformer area.
[0024] 403) Update the user access phase scheduling strategy of the second time period when the load imbalance has the greatest impact on the loss of the transformer area to the user access phase of the transformer area, and perform theoretical line loss calculation of 96 points of the transformer area at the second time of multiple typical days to obtain the theoretical line loss calculation result of the transformer area at the second time.
[0025] 404) By analogy, after substituting the user access phase scheduling strategy at each time of the period when the load imbalance has the greatest impact on the transformer area loss into the updated phase, the theoretical line loss of the transformer area at each time of multiple typical days is calculated sequentially for each of the 96 points of the transformer area, and the theoretical line loss calculation results of the transformer area for each user access phase scheduling strategy are obtained.
[0026] 405) Summarize the theoretical line loss calculation results of the user access phase scheduling strategy at each time point, and select the user access phase scheduling strategy with the minimum total loss in the area, which is the optimal user access phase scheduling strategy for the area.
[0027] Compared with existing technologies, the present invention has the following beneficial effects: The present invention provides an optimized scheduling method for the access phase of a transformer substation under multiple time scales. This method combines the different power load characteristics of the transformer substation, makes full use of the current high-granularity HPLC data, and adopts an access phase scheduling method that considers the three-phase power load balancing of the transformer substation metering box, branch lines, main lines, etc., to achieve the effect of optimizing the power load balancing of the entire transformer substation. At the same time, the scheduling strategy is optimized based on different load characteristic data, which improves the applicability of the three-phase load balancing of the transformer substation, continuously reduces the neutral current of the transformer substation, and thus further reduces the transformer substation loss. Attached Figure Description
[0028] Figure 1 This is a flowchart illustrating the method implementation of an embodiment of the present invention;
[0029] Figure 2 This is a topological diagram of a transformer substation according to an embodiment of the present invention. Detailed Implementation
[0030] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0031] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of this application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.
[0032] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.
[0033] like Figure 1 As shown, this embodiment provides an optimized scheduling method for user access phases in a distribution area under multiple time scales, including the following steps:
[0034] Step 1: Perform high-granularity theoretical line loss calculations for multiple typical day-based time-of-use distribution areas with different power load characteristics.
[0035] Cross-sectional data for multiple typical days with different power load characteristics are collected. For example, four days of data are selected as typical days in each month. The three-phase voltage, three-phase active power, and three-phase reactive power data of 96 points in the total meter of the transformer area in each cross-section (four points are taken for each hour of the day) and the power and voltage data of 96 points of end users are used to calculate the theoretical line loss of the transformer area with high granularity. Finally, the theoretical line loss calculation results of the transformer area at 96 points on multiple typical days with different power load characteristics are obtained, including the power supply, power loss, theoretical line loss rate, and load imbalance of each node in the network at each time.
[0036] Step 2: Convert the calculation results into curves, analyze the correlation between load imbalance and transformer area loss at each time point, and identify the time period with the greatest impact on transformer area loss.
[0037] Step 3: Perform optimization scheduling analysis for user access in the distribution area. This involves performing optimization scheduling analysis at different times during the period when the load imbalance has the greatest impact on the distribution area's losses, and obtaining the user access scheduling strategy for each time period during which the load imbalance has the greatest impact on the distribution area's losses.
[0038] Figure 2 This is a topology diagram of a transformer area in this embodiment. The transformer area includes multiple branches, and each branch includes multiple meter boxes. During periods of load imbalance, access phase optimization scheduling analysis is performed, specifically including the following steps:
[0039] 301) First, start the optimization analysis from the meter box of the last branch of the terminal branch A. That is, first adjust each user in meter box 1 so that the users in meter box 1 can achieve three-phase load balance as much as possible (the unbalance is the lowest, but it is not necessarily balanced, the same below). Then the area of meter box 1 + meter box 1 branch line + branch line segment 1 connecting meter box 1 to meter box 2 can achieve three-phase load balance.
[0040] Assuming the meter box 1 is balanced, the three-phase electricity consumption of all users (A, B, and C) is as follows:
[0041] Given A1=14, B1=10, and C1=6, after calculating the three-phase unbalance [(maximum charge - average charge) / average charge], the unbalance β1 is calculated to be 40%.
[0042] 302) Adjust meter box 2 again to make the three-phase load of users in meter box 2 as balanced as possible, so that the branch lines of meter box 2 can be balanced.
[0043] Assuming the meter box 2 is balanced, the three-phase electricity consumption of all users (A, B, and C) is as follows:
[0044] Given A2=15, B2=11, C2=13, calculate the unbalance β2=15.38%.
[0045] 303) Adjust the balance of branch segment 2 and the area below it. Compare the three-phase imbalance of meter box 1 and meter box 2 respectively. Use the area with smaller imbalance as the reference and adjust the phase of the meter box with larger imbalance. If the imbalance of meter box 1 is larger, then use meter box 2 as the reference and adjust the phase of meter box 1. At this time, treat all A phases in meter box 1 as a whole, all B phases as a whole, and all C phases as a whole for adjustment. The adjustment rules are: adjust the maximum load phase of meter box 1 to the minimum load phase phase of meter box 2, adjust the medium load phase of meter box 1 to the medium load phase phase of meter box 2, and adjust the minimum load phase of meter box 1 to the maximum load phase phase of meter box 2.
[0046] Based on the power consumption of similar devices in meters 1 and 2 above, the specific adjustments are as follows:
[0047] For meter box 1, phase A has the highest load and phase C has the lowest load. Therefore:
[0048] A→B, B→C, C→A.
[0049] Since the branch lines and branch segments where meter boxes 1 and 2 are located are to be treated as a whole area, the adjusted phase load in meter box 1 is added to the corresponding phase load in meter box 2 to calculate the three-phase imbalance.
[0050] After addition, this area is: Meter Box 1 + Meter Box 1 Branch Line + Branch Line Segment 1 + Meter Box 2 + Meter Box 2 Branch Line + Branch Line Segment 2. The three-phase quantities of A, B, and C are: A=21, B=25, C=23, and the imbalance is 8.79%. Therefore, this area has reached the most balanced state.
[0051] Note that in meter box 1, all users A (i.e., the overall A) are adjusted to B, all users B are adjusted to C, and all users C are adjusted to A. Therefore, the three-phase load power in meter box 1 has not changed, and the original three-phase balance state of meter box 1 is not affected.
[0052] 304) Then expand the area to adjust meter box 3. First, adjust the users in meter box 3 to achieve balance, then calculate the three-phase imbalance of meter box 3 and compare it with the overall imbalance of the area after adjustment (i.e., the imbalance calculated above, 8.79%). Adjust the areas with larger imbalances, and leave the areas with smaller imbalances as the baseline without any action. If the imbalance of meter box 3 is less than the overall imbalance of the area after adjustment (8.79%), then adjust the entire area (the entire area refers to...). Figure 2The equipment component area below the central meter box 3, including branch segment 2, branch lines of meter box 2, meter box 2, branch segment 1, branch lines of meter box 1, and meter box 1, is considered as a whole. Then, according to the aforementioned adjustment principles, the maximum load phase within the area is adjusted to the minimum load phase of the reference area, the medium load phase within the area is adjusted to the medium load phase of the reference area, and the minimum load phase within the area is adjusted to the maximum load phase of the reference area, thereby completing the overall three-phase balance optimization adjustment of the above area. This process is repeated to complete the three-phase balance optimization adjustment of the entire area of branch line A.
[0053] 305) After the adjustment of branch line A is completed, according to the above calculation principle, branch line A is regarded as a whole area and compared with another branch line B for adjustment. The three-phase load imbalance of the trunk line can be adjusted. Finally, the adjustment is made to the outlet side of the distribution transformer, so that the three-phase load balance of each node in the distribution area network can be achieved. The adjustment strategy at this time is the current distribution area user access phase scheduling strategy.
[0054] 306) And so on, adjusting the access phase of the cross-section data at the next time step according to the above method. Finally, the user access phase scheduling strategy for each time step during the period when load imbalance has the greatest impact on transformer area loss is obtained.
[0055] Step 4: Substitute the user access phase scheduling strategy obtained in Step 3 into multiple typical days with different power load characteristics, and perform calculation and analysis. Select the user access phase scheduling strategy with the minimum total loss of the transformer area on multiple typical days with different power load characteristics. This is the final optimized user access phase scheduling strategy for the transformer area.
[0056] Step four specifically includes the following steps:
[0057] 401) Update the user access phase scheduling policy of the first moment of the period when the load imbalance has the greatest impact on the loss of the distribution area to the user access phase of the distribution area.
[0058] 402) Based on the data collected from multiple typical days in the original transformer area, the theoretical line loss of 96 points in the transformer area at the first moment of multiple typical days is calculated to obtain the theoretical line loss calculation results of the transformer area at the first moment, including load imbalance, total loss of transformer area, and theoretical line loss rate of transformer area.
[0059] 403) Update the user access phase scheduling strategy of the second time period when the load imbalance has the greatest impact on the transformer area loss to the user access phase of the transformer area, and perform theoretical line loss calculations for 96 points of the transformer area at the second time period on multiple typical days to obtain the theoretical line loss calculation results of the transformer area at the second time period.
[0060] 404) By analogy, after substituting the user access phase scheduling strategy at each time of the period when the load imbalance has the greatest impact on the transformer area loss into the updated phase, the theoretical line loss of the transformer area at each time of multiple typical days is calculated sequentially for each of the 96 points of the transformer area, and the theoretical line loss calculation results of the transformer area for each user access phase scheduling strategy are obtained.
[0061] 405) Summarize the theoretical line loss calculation results of the user access phase scheduling strategy at each time point, and select the user access phase scheduling strategy with the minimum total loss in the area, which is the optimal user access phase scheduling strategy for the area.
[0062] like Figure 1 As shown, this embodiment provides an optimized scheduling method for user access phases in a transformer substation across multiple time scales. This method performs time-based theoretical line loss calculations for the substation. For substations with unbalanced loads, it conducts high-granularity calculations of theoretical line losses for different access phases, accurately clarifying the theoretical line loss situation at each time point and the degree of load imbalance at each node in the substation. Secondly, it performs load imbalance analysis of the access phases in the substation, conducting in-depth analysis of the load imbalance degree of the substation's electricity consumption based on the theoretical line loss calculation results during load balancing periods, identifying periods with high and prolonged load imbalance in the access phases. Furthermore, it conducts optimized scheduling analysis of the access phases in the substation, performing load balancing optimization step-by-step starting from the meter readings and outputting optimized scheduling strategies for the access phases. Finally, it comprehensively selects the optimal solution, selecting cross-sectional data with different electricity load characteristics in the substation, and comprehensively verifying and evaluating the above optimized scheduling strategies to ultimately select the best user access phase scheduling scheme for the substation. Compared with previous methods for optimizing the access phase of transformer substations, the method of this invention takes into account the high-granularity line loss calculation of the transformer substation and the greatest impact of the degree of load imbalance. It combines the idea of comprehensive optimization of access phase optimization strategy and has a strong innovative concept in optimizing and managing the load imbalance of transformer substations. It has the advantages of strong applicability and comprehensive coverage.
[0063] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0064] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0065] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0066] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0067] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.
Claims
1. An optimized scheduling method for user access phases in a distribution area under multiple time scales, characterized in that, Includes the following steps: Step 1: Perform high-granularity theoretical line loss calculations for multiple typical day-based time-of-use distribution areas with different power load characteristics; Step 2: Convert the calculation results into curves, analyze the correlation between load imbalance and transformer area loss at each time point, and identify the time period with the greatest impact on transformer area loss. Step 3: Perform optimization scheduling analysis for user access in the distribution area. This involves performing optimization scheduling analysis at different times during the period when the load imbalance has the greatest impact on the distribution area's losses, and obtaining the user access scheduling strategy for each time period during which the load imbalance has the greatest impact on the distribution area's losses. Step 4: Substitute the user access phase scheduling strategy obtained in Step 3 into multiple typical days with different power load characteristics, and perform calculation and analysis. Select the user access phase scheduling strategy with the minimum total loss of the transformer area on multiple typical days with different power load characteristics. This is the final optimized scheduling strategy for user access phases in the transformer area. In step three, for a transformer area comprising multiple branches, each branch containing multiple meter boxes, an optimized scheduling analysis of the access phase is performed during periods of load imbalance. This includes the following steps: 301) Start the optimization analysis from the meter box of the end branch of the end branch line A. That is, adjust each user in meter box 1 to make the users in meter box 1 achieve three-phase load balance as much as possible, that is, the imbalance is minimized. Then the area of meter box 1 + meter box 1 branch line + branch line segment 1 connecting meter box 1 to meter box 2 can achieve three-phase load balance. 302) Adjust meter box 2 again to make the three-phase load of users in meter box 2 as balanced as possible, so that the branch lines of meter box 2 can be balanced; 303) Adjust the balance of branch segment 2 and the area below it; compare the three-phase imbalance of meter box 1 and meter box 2 respectively, and use the area with smaller imbalance as the reference to adjust the phase in the meter box with larger imbalance; if the imbalance of meter box 1 is larger, then use meter box 2 as the reference to adjust the phase of meter box 1; at this time, all A phases in meter box 1 are regarded as a whole, all B phases are regarded as a whole, and all C phases are regarded as a whole for adjustment; the adjustment rules are: adjust the maximum load phase of meter box 1 to the minimum load phase phase of meter box 2, adjust the medium load phase of meter box 1 to the medium load phase phase of meter box 2, and adjust the minimum load phase of meter box 1 to the maximum load phase phase of meter box 2. Since the branch lines and branch segments where meter boxes 1 and 2 are located should be treated as a whole area, the adjusted phase load in meter box 1 and the corresponding phase load in meter box 2 are added together to calculate the three-phase imbalance. 304) Then expand the area to adjust meter box 3. First, adjust the users in meter box 3 to balance, then calculate the three-phase imbalance of meter box 3 and compare it with the imbalance of the whole area after adjustment. Adjust the ones with larger imbalances, and leave the ones with smaller imbalances as the benchmark. If the imbalance of meter box 3 is less than the imbalance of the whole area after adjustment, then treat all A, all B, and all C in the whole area as a whole. Then, according to the adjustment principle, adjust the maximum load phase in the area to the minimum load phase in the benchmark area, adjust the medium load phase in the area to the medium load phase in the benchmark area, and adjust the minimum load phase in the area to the maximum load phase in the benchmark area, thereby completing the three-phase balance optimization adjustment of the whole area. And so on, to complete the three-phase balance optimization adjustment of the entire area of branch line A. 305) After the adjustment of branch line A is completed, branch line A is regarded as a whole area and compared with another branch line B for adjustment. The three-phase load imbalance of the trunk line can be adjusted. Finally, the adjustment is made to the outlet side of the distribution transformer, so that the three-phase load balance of each node in the distribution area network can be achieved. The adjustment strategy at this time is the current distribution area user access phase scheduling strategy. 306) Adjust the access phase of the cross-section data at the next time step according to the above method; finally, obtain the user access phase scheduling strategy at each time step during the period when the load imbalance has the greatest impact on the loss of the transformer area.
2. The optimized scheduling method for user access phases in a distribution area under multiple time scales according to claim 1, characterized in that, In step one, cross-sectional data of multiple typical days with different power load characteristics are collected. The three-phase voltage, three-phase active power, and three-phase reactive power data of 96 points in the total meter of the distribution area in each cross-section, as well as the power and voltage data of 96 points of end users, are used to calculate the theoretical line loss of the distribution area with high granularity. Finally, the theoretical line loss calculation results of the distribution area at 96 points of multiple typical days with different power load characteristics are obtained, including the power supply, power loss, theoretical line loss rate, and load imbalance data of each node in the network at each time.
3. The optimized scheduling method for user access phases in a distribution area under multiple time scales according to claim 1, characterized in that, Step four specifically includes the following steps: 401) Update the user access phase scheduling policy of the first moment of the period when the load imbalance has the greatest impact on the loss of the distribution area to the user access phase of the distribution area; 402) Based on the data collected from multiple typical days in the original transformer area, the theoretical line loss of 96 points in the transformer area at the first moment of multiple typical days is calculated to obtain the theoretical line loss calculation results of the transformer area at the first moment, including load imbalance, total loss of transformer area, and theoretical line loss rate of transformer area. 403) Update the user access phase scheduling strategy of the second time period when the load imbalance has the greatest impact on the loss of the transformer area to the user access phase of the transformer area, and perform theoretical line loss calculation of 96 points of the transformer area at the second time of multiple typical days to obtain the theoretical line loss calculation result of the transformer area at the second time. 404) By analogy, after substituting the user access phase scheduling strategy at each time of the period when the load imbalance has the greatest impact on the transformer area loss into the updated phase, the theoretical line loss of the transformer area at each time of multiple typical days is calculated sequentially for each of the 96 points of the transformer area, and the theoretical line loss calculation results of the transformer area for each user access phase scheduling strategy are obtained. 405) Summarize the theoretical line loss calculation results of the user access phase scheduling strategy at each time point, and select the user access phase scheduling strategy with the minimum total loss in the area, which is the optimal user access phase scheduling strategy for the area.