A method and device for optimizing design of line loss optimal segmentation point considering space-time expansion

Abstract

The application relates to a line loss optimal segmentation point optimization design method and equipment considering space-time expansion, and the method comprises the following steps: 1) obtaining basic account data of a to-be-optimized power distribution network system and one-year power distribution network equipment operation data; 2) based on the basic account data, the analysis range of the to-be-optimized power distribution network system is determined by considering space expansion; 3) in the analysis range, optimal segmentation point optimization calculation is carried out by considering time expansion based on the one-year power distribution network equipment operation data; and 4) the optimization calculation result is used as the optimal segmentation operation mode of the power distribution line in the analysis range. Compared with the prior art, the application has the advantages of high reliability, high accuracy and the like.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of multi-contact power distribution network wiring, in particular to a line loss optimal segmentation point optimization design method and equipment considering space-time expansion. BACKGROUND

[0002] With the continuous improvement of user requirements for power supply reliability and short-time power failure of the power distribution network, the multi-contact power distribution network wiring mode has been developed due to its high equipment utilization rate, changing the traditional single line radial power supply mode and improving the power supply reliability and maintenance capacity of line equipment; in the entire power system, line loss is the main component of power system loss.

[0003] In the multi-contact power distribution network wiring mode, the breaking of multiple substations in the 10kV power distribution network line through the opening and closing of the contact switch forms a new power distribution line to supply power to the users on the line, which has the advantages of high contact rate, flexible power distribution network structure and small power supply radius; the more hand-in-hand and mutual supply lines, the more contact switches, and of course the more operation modes can be selected; however, due to the increasing number of contact switches, the multi-contact power distribution network wiring has the technical problems of complex operation mode and data statistics, and at present, a comprehensive analysis of the load of each line segment cannot be performed, and the optimal contact switch opening and closing mode cannot be selected to switch the operation mode of the line, which easily causes non-economic operation of the power grid and increases the line loss. The existing optimal segmentation point method can usually only analyze the line loss composition of a single time period and a single line, and cannot perform overall linkage analysis on the power supply block composed of the opposite side line connected to the line, resulting in relatively independent analysis results and difficulty in global analysis, thereby causing the calculation results to be relatively weak in guiding the network adjustment and transformation application.

[0004] In order to solve the above problems, people have been seeking an ideal technical solution. SUMMARY

[0005] The purpose of the present application is to overcome the defects of the prior art and provide a line loss optimal segmentation point optimization design method and equipment considering space-time expansion with high reliability and high accuracy.

[0006] The purpose of the present application can be achieved by the following technical solutions:

[0007] A line loss optimal segmentation point optimization design method considering space-time expansion, comprising the following steps:

[0008] 1) Obtain the basic account data and one-year power distribution network equipment operation data of the power distribution network system to be optimized;

[0009] 2) Based on the basic account data, the analysis range of the power distribution network system to be optimized is determined considering space-time expansion;

[0010] 3) In the analysis range, based on the power distribution network equipment operation data within the year, considering time expansion, performing optimal segmentation point optimization calculation;

[0011] 4) Taking the optimization calculation result as the optimal segmentation operation mode of the power distribution line in the analysis range.

[0012] Further, the basic account data includes equipment account data and network topology data.

[0013] Further, the operation data includes voltage, current, active power, reactive power, and active power.

[0014] Further, the determination of the analysis range of the power distribution network system to be optimized specifically includes:

[0015] 201) Select the main analysis power distribution line, determine whether there is a tie switch in the main analysis power distribution line, if yes, record the power distribution lines that are mutually connected with the main analysis power distribution line, form a topology one-layer power distribution line list, if not, end;

[0016] 202) Loop through the topology one-layer power distribution line list, determine whether there is a tie switch in the topology one-layer power distribution line in the list, if yes, record the power distribution lines that are mutually connected with the topology one-layer power distribution line, form a topology two-layer power distribution line list, if not, skip the topology one-layer power distribution line, the topology two-layer power distribution line list does not include the main analysis power distribution line and the power distribution lines in the topology one-layer power distribution line list;

[0017] 203) According to step 202), loop through the topology two-layer power distribution line list until the topology N+1 layer power distribution line list is empty;

[0018] 204) Take the main analysis power distribution line, the topology one-layer power distribution line list, the topology two-layer power distribution line list, and the topology N-layer power distribution line list as the determined analysis range.

[0019] Further, the optimal segmentation point optimization calculation specifically includes:

[0020] 301) Screen out a set of operable main switches in all power distribution lines in the analysis range;

[0021] 302) Obtain all switch opening or closing combination states of the set of operable main switches;

[0022] 303) Based on each combination state, recombine the topology of all power distribution lines in the analysis range, and obtain multiple groups of new power distribution line operation modes;

[0023] 304) Based on the operation data of a single day within a year, n groups of daily optimal operation modes with low daily theoretical line loss are selected from the plurality of groups of new distribution line operation modes;

[0024] 305) Based on the operation data of a year, the operation mode with the lowest annual theoretical line loss value is selected from the n groups of daily optimal operation modes as the optimal segmented operation mode, so as to realize optimal segmented point optimization.

[0025] Further, in step 303), when the reorganized topology is performed, the invalid operation mode after the reorganized topology is removed, and the plurality of groups of new distribution line operation modes are obtained.

[0026] Further, the selection of the n groups of daily optimal operation modes is specifically:

[0027] 341) Based on each new distribution line operation mode, the daily theoretical line loss value of the main analysis distribution line and the corresponding tie line after the reorganized topology is calculated by sequentially substituting the operation data of the first day, and the new distribution line operation mode corresponding to the minimum value is the daily optimal operation mode;

[0028] 342) Step 341) is cyclically executed, and the operation data of each day of a year is substituted to obtain n groups of daily optimal operation modes.

[0029] Further, the annual theoretical line loss value is the sum of the daily theoretical line loss values of each day of a year.

[0030] The application also provides a computer readable storage medium, comprising one or more programs for one or more processors of an electronic device to execute, the one or more programs comprising instructions for performing the line loss optimal segmented point optimization design method as described above.

[0031] The application also provides an electronic device comprising one or more processors, a memory, and one or more programs stored in the memory, the one or more programs comprising instructions for performing the line loss optimal segmented point optimization design method as described above.

[0032] Compared with the prior art, the application has the following beneficial effects:

[0033] 1、The application is based on digital twin technology, considers space-time expansion, optimizes the optimal segmented point calculation method, and improves the globality, reliability, accuracy and applicability of the optimal segmented point optimization calculation; the obtained optimal operation mode is used as an adjustment strategy, which can provide technical guidance for field implementation of operation and maintenance personnel; based on the distribution line after reorganizing the topology of the optimal operation mode, the line loss rate is effectively reduced, the economic operation capacity of the distribution network is improved, the purpose of loss reduction and energy saving is achieved, and the power supply capacity of the hand-in-hand tie line is guaranteed.

[0034] 2. Existing optimal segmentation point optimization calculations typically only perform one layer of topology analysis, resulting in a limited analysis scope and poor usability and applicability of the calculation results. Compared with existing optimal segmentation point optimization calculations, this invention considers spatial expansion in determining the analysis scope, performing a comprehensive topology analysis. This expands the analysis scope to include all distribution lines interconnected with the main analysis distribution line and all distribution lines interconnected with connecting lines. It also performs overall linkage on the power supply block composed of all opposite lines connected to the main analysis line, increasing the calculation and analysis of line losses in a large-scale interconnected area. From a global perspective, this increases the globality, reliability, and accuracy of the optimal segmentation point optimization calculation results.

[0035] 3. The optimal segmentation point optimization calculation method of this invention, which considers time extension, increases the reliability and accuracy of the optimal segmentation point optimization calculation results by performing theoretical line loss calculation on the distribution line cycle within the analysis range and substituting at least one year of historical operating data for calculation and verification. Attached Figure Description

[0036] Figure 1 A flowchart detailing the method for determining the analysis scope considering spatial expansion;

[0037] Figure 2 This is a schematic diagram showing the difference between the topology analysis range considering spatial expansion in this invention and the existing optimal segmentation point topology analysis range, wherein (a) is the existing optimal segmentation point topology, and (b) is the topology considering spatial expansion.

[0038] Figure 3 A flowchart detailing the optimal segmentation point optimization calculation method considering time expansion. Detailed Implementation

[0039] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. These embodiments are based on the technical solution of the present invention and provide detailed implementation methods and specific operating procedures. However, the scope of protection of the present invention is not limited to the following embodiments.

[0040] This embodiment provides a method for optimizing the design of the optimal segmentation point for line loss considering spatiotemporal extension, including the following steps:

[0041] 1) Obtain basic ledger data of the distribution network system to be optimized and the operation data of distribution network equipment within one year.

[0042] Information on Shanghai Electric Power Company's distribution network equipment is obtained through the Production Management System (PMS2.0), mainly including equipment ledger data and network topology data. One year's worth of distribution network equipment operation data is obtained through the Integrated Distribution Data Platform (IDP), mainly including data on voltage, current, active power, reactive power, and active energy at the beginning of the lines, and voltage, current, active power, reactive power, and active energy at the end of the lines.

[0043] 2) Based on the basic account data, considering spatial expansion, conducting comprehensive topology analysis to determine the analysis range of the power distribution network system to be optimized, specifically including:

[0044] 201) Selecting the main analysis power distribution line, judging whether there is a tie-in switch in the main analysis power distribution line, if yes, recording the power distribution lines that are mutually connected with the main analysis power distribution line to form a topology one-layer power distribution line list, if no, ending;

[0045] 202) Looping through the topology one-layer power distribution line list, judging whether there is a tie-in switch in the topology one-layer power distribution line in the list, if yes, recording the power distribution lines that are mutually connected with the topology one-layer power distribution line to form a topology two-layer power distribution line list, if no, skipping the topology one-layer power distribution line and judging the next topology one-layer power distribution line in the list, the topology two-layer power distribution line list does not include the main analysis power distribution line and the power distribution lines in the topology one-layer power distribution line list, i.e. the next layer topology power distribution line list does not contain the power distribution lines that have been subjected to topology analysis in the previous step and before;

[0046] 203) According to step 202), looping through the topology two-layer power distribution line list until the topology N+1 layer power distribution line list is empty, i.e. all power distribution lines that are mutually connected with the topology N layer power distribution line are included in the main analysis power distribution line and the topology one-layer to topology N layer power distribution line list;

[0047] 204) Taking the main analysis power distribution line, the topology one-layer power distribution line list, the topology two-layer power distribution line list and the topology N layer power distribution line list as the determined analysis range.

[0048] 3) Within the analysis range, based on the power distribution network equipment operation data within one year, considering time expansion, conducting optimal segmentation point optimization calculation, specifically including:

[0049] 301) Screening out a set of operable main switches in all power distribution lines in the analysis range, the operable switches can affect the operation mode of the power distribution line through the opening / closing state of the switch, but will not cause user power failure and multiple power sources, etc.;

[0050] 302) Obtaining all combination states of switch opening or closing of the set of operable main switches;

[0051] 303) Based on each combination state, re-topology is conducted on all power distribution lines in the analysis range to obtain multiple groups of new power distribution line operation modes;

[0052] 304) Based on the single-day operation data within one year, screening out n groups of daily optimal operation modes with low daily theoretical line loss from the multiple groups of new power distribution line operation modes;

[0053] 305) Based on the operation data of one year, the operation mode with the lowest annual theoretical line loss value is selected from the n groups of daily optimal operation modes as the optimal segmented operation mode to achieve optimal segmented point optimization, and the annual theoretical line loss value is the cumulative sum of the daily theoretical line loss values of each day in a year.

[0054] The screening of the n groups of daily optimal operation modes is specifically:

[0055] 341) Based on each new distribution line operation mode, the daily theoretical line loss values of the main analysis distribution line and its corresponding tie line after reorganization of the topology are calculated by substituting the operation data of the first day, and the new distribution line operation mode corresponding to the minimum value is the daily optimal operation mode.

[0056] 342) Step 341) is executed in a loop, and the operation data of each day in a year is substituted to obtain n groups of daily optimal operation modes. One year is generally 35 days, and because some daily optimal operation modes may be the same, n <= 365.

[0057] In the preferred embodiment, when the reorganized topology in the above-mentioned step 303) is performed, the invalid operation mode after reorganization of the topology is removed to obtain the plurality of new distribution line operation modes.

[0058] 4) The optimal segmented operation mode of the distribution line in the analysis range is obtained by using the optimization calculation result.

[0059] The existing optimal segmented point optimization calculation topology analysis generally only performs one layer of topology analysis, and the analysis range is limited, resulting in poor availability and applicability of the calculation result. Compared with the existing optimal segmented point optimization calculation, the above-mentioned method performs all-around topology analysis by considering the spatial expansion analysis range determination method, so that the analysis range is expanded to all distribution lines that are interconnected with the main analysis distribution line and are interconnected with the tie line, and the globality, reliability, accuracy and applicability of the optimal segmented point optimization calculation result are increased. The method is based on digital twinning technology, considers time-space expansion, optimizes the optimal segmented point calculation method, and improves the globality, reliability, accuracy and applicability of the optimal segmented point optimization calculation.

[0060] If the above method is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and various program code storage media.

[0061] In another embodiment, an electronic device is provided that includes one or more processors, memory, and one or more programs stored in the memory, including instructions to perform the line loss optimal segmentation point optimization design method as described above.

[0062] The preferred embodiments of the present application are described in detail above. It should be understood that those of ordinary skill in the art can make modifications and variations without creative labor based on the concept of the present application. Therefore, any technical solution that can be obtained by logical analysis, reasoning or limited experiment based on the prior art by those skilled in the art according to the concept of the present application shall be within the protection scope determined by the claims.

Claims

1. A method for optimizing the optimal segmentation point of line loss considering spatiotemporal extension, characterized in that, Includes the following steps: 1) Obtain basic ledger data of the distribution network system to be optimized and the operation data of distribution network equipment within one year; 2) Based on the aforementioned basic ledger data, and considering spatial expansion, determine the analysis scope of the distribution network system to be optimized. Specific steps include: 201) Select the main analysis distribution line, determine whether there is a tie switch in the main analysis distribution line. If yes, record the distribution lines that are interconnected with the main analysis distribution line to form a topology layer distribution line list. If no, end. 202) Iterate through the list of topology level 1 distribution lines and determine whether there is a tie switch in the list. If so, record the distribution lines that will be interconnected with the topology level 1 distribution line to form the list of topology level 2 distribution lines. If not, skip the topology level 1 distribution line. The list of topology level 2 distribution lines does not include the main analysis distribution lines and the distribution lines in the list of topology level 1 distribution lines. 203) Based on step 202), iterate through the list of power distribution lines in the second layer of the topology until the list of power distribution lines in the N+1 layer of the topology is empty; 204) The analysis scope is defined by the main analysis distribution lines, the list of distribution lines in the first layer of topology, the list of distribution lines in the second layer of topology, and the list of distribution lines in the Nth layer of topology; 3) Within the scope of the analysis, based on the operating data of the distribution network equipment within the past year, and considering time extension, the optimal segmentation point optimization calculation is performed. Specific steps include: 301) Filter out the set of operable main switches in all power distribution lines within the analysis scope; 302) Obtain the combined open or closed states of all switches in the operable main switch set; 303) Based on each combination state, the topology of all distribution lines within the analysis range is reorganized to obtain multiple new distribution line operation modes; 304) Based on daily operating data within one year, n optimal daily operating modes with low theoretical daily line losses are selected from multiple sets of new distribution line operating modes. The selection of the n optimal daily operating modes is specifically as follows: 341) Based on the operation mode of each new distribution line, substitute the operation data of the first day in sequence to calculate the daily theoretical line loss value of the main analysis distribution line and its corresponding tie line after the topology is reorganized, and take the operation mode of the new distribution line corresponding to the minimum value as the daily optimal operation mode. 342) Repeat step 341), substitute the running data for each day of the year, and obtain n sets of daily optimal running modes; 305) Based on one year of operating data, select the operating mode with the lowest annual theoretical line loss value from n sets of daily best operating modes as the best segmented operating mode, and achieve the optimization of the best segmentation point; 4) The optimized calculation results are used as the optimal segmented operation mode for power distribution lines within the analysis scope.

2. The optimal segmentation point design method for line loss considering spatiotemporal extension as described in claim 1, characterized in that, The basic ledger data includes equipment ledger data and network topology data.

3. The optimal segmentation point design method for line loss considering spatiotemporal extension as described in claim 1, characterized in that, The operating data includes voltage, current, active power, reactive power, and active energy.

4. The optimal segmentation point design method for line loss considering spatiotemporal extension as described in claim 1, characterized in that, In step 303), when performing the topology reorganization, invalid operating modes after topology reorganization are eliminated to obtain the multiple sets of new distribution line operating modes.

5. The optimal segmentation point design method for line loss considering spatiotemporal extension as described in claim 1, characterized in that, The annual theoretical line loss value is the sum of the daily theoretical line loss values ​​for each day of the year.

6. A computer-readable storage medium, characterized in that, It includes one or more programs that are executed by one or more processors of an electronic device, the one or more programs including instructions for performing the optimal line loss segmentation point optimization design method as described in any one of claims 1-5.

7. An electronic device, characterized in that, It includes one or more processors, memory, and one or more programs stored in the memory, said one or more programs including instructions for executing the optimal segmentation point design method for line loss as described in any one of claims 1-5.

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