A multi-energy power distribution network reliability improvement method

Abstract

The application discloses a kind of multi-energy distribution network reliability promotion methods, comprising: according to actual multi-energy distribution network planning requirement reading distributed power quantity adopts power circle algorithm and divides regional multi-energy distribution network;With load when not occurring fault, determine regional distribution network path set in distributed power;Using time sequence Monte Carlo mode simulates fault scene, according to path set under fault scene, determine primary recovery power supply scheme ZO′;According to primary recovery power supply scheme, determine secondary recovery power supply scheme ZO″ in combination with switch operation;For secondary recovery power supply scheme, determine tertiary recovery power supply scheme ZO″′ in tidal flow constraint;According to reliability promotion contribution interest rate, select optimal scheme.The application adopts the method of pre-estimate+post-processing combination, considers the power supply capacity and access location of distributed power, increases tie-in switch constraint, and improves power supply reliability.

Description

Technical Field

[0001] This invention relates to the technical field of distribution network reliability, and in particular to a method for improving the reliability of multi-energy distribution networks. Background Technology

[0002] As the final link in the power supply chain, the reliability of the distribution network directly impacts production and daily life. Severe weather conditions such as heavy rain and snowstorms can damage equipment like power poles and lines in the distribution network, leading to frequent faults and affecting power quality. With the large-scale integration of distributed power sources such as photovoltaics and wind power, traditional distribution networks are being upgraded to multi-energy distribution networks. In fault scenarios, distributed power sources can be used to restore power to some loads. Currently, improving the reliability of multi-energy distribution networks can be achieved through proper planning of the distribution network structure, revising design, site selection, and construction standards, and implementing preventative fault measures such as deploying emergency generators. Alternatively, after a fault occurs, rapid fault location and identification, followed by repair or equipment replacement, can be implemented.

[0003] Existing reliability improvement measures for multi-energy distribution networks do not fully consider the supporting power supply role of distributed generation, relying instead on enhancing the resilience of the grid structure and the service reliability of equipment. In the event of a fault, distributed generation can form a regional multi-energy system with surrounding loads to maintain operation, restoring power to some loads. The scope of islanding is determined based on the capacity of the distributed generation, load demand, and load importance. Summary of the Invention

[0004] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0005] In view of the aforementioned existing problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by this invention is that existing reliability improvement schemes do not consider the power supply capacity of distributed power sources and the switch limits in actual distribution networks, neglect the convenience of operation, and result in low utilization of distributed power sources.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution, including:

[0008] Based on the actual multi-energy distribution network planning requirements, the number of distributed power sources is read, and the power circle algorithm is used to divide the regional multi-energy distribution network.

[0009] Determine the path set within the regional distribution network using distributed power sources and loads when no faults occur;

[0010] A fault scenario is simulated using a time-sequential Monte Carlo method, and a power restoration scheme ZO′ is determined based on the path set under the fault scenario.

[0011] Based on the primary power restoration scheme and the switch operation, the secondary power restoration scheme ZO″ is determined.

[0012] Power flow constraints are applied to the secondary power restoration scheme to determine the tertiary power restoration scheme ZO″′;

[0013] The optimal solution is selected based on the contribution rate of load reliability improvement.

[0014] As a preferred embodiment of the multi-energy distribution network reliability improvement method described in this invention, wherein:

[0015] The power circle algorithm includes: taking the distributed power source as the center, searching for loads along the network topology until the sum of the loads is greater than or equal to the output of the distributed power source, and then stopping, and including all the searched loads into the power circle.

[0016] As a preferred embodiment of the multi-energy distribution network reliability improvement method described in this invention, wherein:

[0017] The division of a regional multi-energy distribution network includes: taking the distributed power source as the center, searching for loads in all directions, stopping the search when the load exceeds the maximum output of the distributed power source, dividing the load into one regional multi-energy distribution network, and processing M distributed power sources one by one.

[0018] As a preferred embodiment of the multi-energy distribution network reliability improvement method described in this invention, wherein:

[0019] The path set includes: based on the multi-energy distribution network, the path set of distributed power sources and loads when no fault occurs is divided into a direct connection path set cph. i and the set of alternative connection paths bph i ;

[0020] The set of direct join paths is represented as:

[0021] cph i ={cphl1,cphl2,cphl x}

[0022] Where i represents the regional multi-energy distribution network number, cphl x This represents the x-th direct link path;

[0023] The set of alternative connection paths is represented as follows:

[0024] bph i ={bphl1,bphl2,bphl y}

[0025] Where i represents the regional multi-energy distribution network number, bphl y This represents the y-th alternative connection path.

[0026] As a preferred embodiment of the multi-energy distribution network reliability improvement method described in this invention, wherein:

[0027] The temporal Monte Carlo method includes: In a multi-energy distribution network, each device has a failure rate function. The failure rates of all devices are randomly sampled, sorted in descending order, and the device with the highest failure rate is selected. If the device with the highest failure rate fails, a failure scenario is generated. This process is repeated F times to generate F failure scenarios.

[0028] As a preferred embodiment of the multi-energy distribution network reliability improvement method described in this invention, wherein:

[0029] The fault scenarios include: F fault scenarios are randomly set. When a node fails, all branches connected to that node become disconnected; when a branch fails, that branch is interrupted. Path search is performed by sorting the path in descending order of line impedance and connection path, and the top 30% are taken as the direct path set cph. i,f The latter 70% are the set of backup connection paths, bph i,f Search for connected load nodes along the backup path to determine the load BL that can be restored via the backup path. i,f .

[0030] As a preferred embodiment of the multi-energy distribution network reliability improvement method described in this invention, wherein:

[0031] The power restoration scheme ZO′ includes:

[0032] BL for recovery i,f Set, calculate the recovered load BL for each of them. i,f,j The contribution rate of reliability improvement cr(BL) i,f,j ), represented as:

[0033]

[0034] Where j represents the load number within the load set restored under the f-th fault scenario of the i-th curve distribution network, J represents the number of loads restored under the f-th fault scenario of the i-th curve distribution network, ω represents the load weighting coefficient, and L j This represents the size of the j-th active load;

[0035] Prioritize restoring power to loads that enhance reliability. Sort loads by their reliability improvement contribution rate in descending order, and search for loads that meet or exceed a certain threshold to form a set OBL. i,fRepresented as:

[0036] OBL i,f ={OBL i,f,1 OBL i,f,2 OBL i,f,z}

[0037] Among them, OBL i,f,z Describe the z-th load that is not less than the decision threshold.

[0038] Analysis of OBL i,f backup paths for all recoverable loads (bph) i,f This forms all power supply path combinations Z.

[0039] Perform power flow calculation and verification on the power supply paths in the power supply path combination Z. If the voltage and power constraints are not met, delete the path. If the constraints are met, retain it. After traversing all power supply paths, obtain a power supply restoration scheme ZO′.

[0040] As a preferred embodiment of the multi-energy distribution network reliability improvement method described in this invention, wherein:

[0041] Based on the power restoration scheme ZO′, determine the tie switches and sectionalizing switches included in the power restoration path, and traverse all tie switches;

[0042] If a loop is formed in the multi-energy distribution network of this area, the tie switch shall be removed; if the sectionalizing switch is part of a loop formed in the multi-energy distribution network of this area, the sectionalizing switch shall be opened.

[0043] Statistical analysis is performed on the number of operations of all segmented switch interconnection switches in ZO′. If the number of operations exceeds the threshold, the recovery scheme is removed, the judgment ends, and the secondary power supply recovery scheme ZO″ is obtained.

[0044] As a preferred embodiment of the multi-energy distribution network reliability improvement method described in this invention, wherein:

[0045] The three-stage power restoration scheme ZO″′ includes:

[0046] The power flow of the secondary power restoration scheme ZO″ is calculated and verified according to voltage and power constraints. If the constraints are met, the tertiary power restoration scheme ZO″′ is generated. The reliability improvement contribution rate of each load is accumulated to obtain the reliability improvement contribution rate of the tertiary power restoration scheme ZO″′.

[0047] As a preferred embodiment of the multi-energy distribution network reliability improvement method described in this invention, wherein:

[0048] The optimal solution is selected based on the contribution rate of reliability improvement, including:

[0049] Randomly adjust the grid connection location of distributed power sources, and combine the power restoration schemes ZO′, ZO″, and ZO″′ to traverse the fault scenarios and distributed power source locations to obtain the access locations of each distributed power source and the power restoration paths under the fault. Select the optimal scheme based on the reliability improvement contribution rate arranged in descending order. If the reliability improvement contribution rate is the largest, it is the optimal scheme; otherwise, it is the worst scheme.

[0050] The beneficial effects of this invention are as follows: It adopts a method that combines pre-planning and post-processing, takes into account the power supply capacity and access location of distributed power sources, adds tie switch constraints, and after a fault, the distributed power source restores partial load power supply through available paths. Furthermore, it provides a power supply recovery path in case of a subsequent fault after assuming the access location, thereby improving power supply reliability. Attached Figure Description

[0051] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0052] Figure 1 The flowchart is an algorithm flowchart of a multi-energy distribution network reliability improvement method according to the first embodiment of the present invention.

[0053] Figure 2 This is a power distribution network diagram of a multi-energy power distribution network reliability improvement method according to the second embodiment of the present invention. Detailed Implementation

[0054] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0055] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0056] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0057] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0058] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0059] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0060] Example 1

[0061] Reference Figure 1 This is the first embodiment of the present invention, which provides a method for improving the reliability of a multi-energy distribution network, including:

[0062] S1: Based on the actual multi-energy distribution network planning requirements, read the number of distributed power sources and use the power circle algorithm to divide the regional multi-energy distribution network;

[0063] Furthermore, the power circle algorithm includes: searching for loads along the network topology with the distributed power source as the center, until the sum of the loads is greater than or equal to the output of the distributed power source, and then including all the searched loads into the power circle.

[0064] Furthermore, the regional multi-energy distribution network division includes: taking the distributed power source as the center, searching for loads in all directions, stopping the search when the load exceeds the maximum output of the distributed power source, dividing the load into one regional multi-energy distribution network, and processing M distributed power sources one by one.

[0065] S2: Determine the set of paths within the regional distribution network using distributed power sources and loads when no faults occur;

[0066] Furthermore, the path set includes: based on the multi-energy distribution network, the path set of distributed power sources and loads when no fault occurs is divided into a direct connection path set cph. i and the set of alternative connection paths bph i ;

[0067] The set of direct join paths is represented as:

[0068] cph i ={cphl1,cphl2,cphl x}

[0069] Where i represents the regional multi-energy distribution network number, cphl x This represents the x-th direct link path;

[0070] The set of alternative connection paths is represented as follows:

[0071] bph i ={bphl1,bphl2,bphl y}

[0072] Where i represents the regional multi-energy distribution network number, bphl y This represents the y-th alternative connection path.

[0073] It should be noted that the path search algorithm is used to analyze the multi-energy distribution network of the i-th region one by one. When no fault occurs, there are multiple connection paths between distributed power sources and loads. The connection paths are sorted in descending order according to line impedance, and the first 30% are taken as the direct path set and the last 70% are the backup connection path set.

[0074] S3: Simulate fault scenarios using the timing Monte Carlo method, and determine a power restoration scheme ZO′ based on the path set under the fault scenario;

[0075] Furthermore, the temporal Monte Carlo method includes: in a multi-energy distribution network, each device has a failure rate function. The failure rates of all devices are randomly sampled, sorted in descending order, and the device with the highest failure rate is selected. When the device with the highest failure rate fails, a failure scenario is generated. This process is repeated F times to randomly generate F failure scenarios.

[0076] Furthermore, the fault scenarios include: F fault scenarios are randomly set. When a node fails, all branches connected to that node become disconnected; when a branch fails, that branch is interrupted. Path search is performed by sorting the path in descending order of line impedance and connection path, and the top 30% are taken as the direct path set cph. i,f The latter 70% are the set of backup connection paths, bph i,f Search for connected load nodes along the backup path to determine the load BL that can be restored via the backup path. i,f .

[0077] Furthermore, the primary power restoration scheme ZO′ includes:

[0078] BL for recovery i,f Set, calculate the recovered load BL for each of them. i,f,j The contribution rate of reliability improvement cr(BL) i,f,j ), represented as:

[0079]

[0080] Where j represents the load number within the load set restored under the f-th fault scenario of the i-th curve distribution network, J represents the number of loads restored under the f-th fault scenario of the i-th curve distribution network, ω represents the load weighting coefficient, and L j This represents the size of the j-th active load;

[0081] Prioritize restoring power to loads that enhance reliability. Sort loads by their reliability contribution rate in descending order, and search for loads that meet or exceed a certain threshold to form a set OBL. i,f Represented as:

[0082] OBL i,f ={OBL i,f,1 OBL i,f,2 OBL i,f,z}

[0083] Among them, OBL i,f,z This represents the z-th load that is not less than the decision threshold.

[0084] Analysis of OBL i,f backup paths for all recoverable loads (bph) i,f This forms all power supply path combinations Z;

[0085] It should be noted that OBL i,f For a load set, starting from the load, search along the network topology nodes to find those that have a connection to a distributed power source, i.e., can be powered by the distributed power source. All connection nodes from the load to the distributed power source form the backup path bph. i,f .

[0086] Perform power flow calculation and verification on the power supply paths in the power supply path combination Z. If the voltage and power constraints are not met, delete the path. If the constraints are met, retain it. After traversing all power supply paths, obtain a power supply restoration scheme ZO′.

[0087] It should be noted that the power restoration scheme ZO′ is a preliminary screening scheme and does not consider the number of switching operations and power flow calculation constraints; the verification criteria are: voltage constraint: 0.95 ≤ node voltage per unit value ≤ 1.05, power constraint: branch power ≤ 1.05 times the rated power value.

[0088] S4: Based on the primary power restoration scheme and the switch operation, determine the secondary power restoration scheme ZO″;

[0089] Furthermore, based on the power restoration scheme ZO′, determine the tie switches and sectionalizing switches included in the power restoration path, and traverse all tie switches;

[0090] If a loop is formed in the multi-energy distribution network of this area, the tie switch shall be removed; if the sectionalizing switch is part of a loop formed in the multi-energy distribution network of this area, the sectionalizing switch shall be opened.

[0091] Statistical analysis is performed on the number of operations of all segmented switch interconnection switches in ZO′. If the number of operations exceeds the threshold, the recovery scheme is removed, the judgment ends, and the secondary power supply recovery scheme ZO″ is obtained.

[0092] It should be noted that the secondary power restoration scheme ZO″ takes into account the switching frequency constraint and improves the convenience of operation; the sectionalizing switches are the nodes on each branch, and the tie switches connect different branches. In the regional distribution network, the tie switches are usually open. If the tie switch is closed, a loop is formed. The tie switch is removed. This loop includes multiple sectionalizing switches. The closed sectionalizing switches on the line are opened.

[0093] S5: Apply power flow constraints to the secondary power restoration scheme and determine the tertiary power restoration scheme ZO″′;

[0094] Furthermore, the power flow calculation for the secondary power restoration scheme ZO″ is performed, and the voltage and power constraints are verified. If the constraints are met, the tertiary power restoration scheme ZO″′ is retained, and the reliability improvement contribution rate of each load is accumulated to obtain the reliability improvement contribution rate of the tertiary power restoration scheme ZO″′.

[0095] It should be noted that the three-stage power supply restoration scheme ZO″′ satisfies power flow constraints and improves the safety of power grid operation.

[0096] S6: Select the optimal solution based on the contribution rate of reliability improvement.

[0097] Furthermore, the optimal solution is selected based on the contribution rate of reliability improvement, including:

[0098] Randomly adjust the grid connection location of distributed power sources, and combine the power restoration schemes ZO′, ZO″, and ZO″′ to traverse the fault scenarios and distributed power source locations to obtain the access locations of each distributed power source and the power restoration paths under the fault. Select the optimal scheme based on the reliability improvement contribution rate arranged in descending order. If the reliability improvement contribution rate is the largest, it is the optimal scheme; otherwise, it is the worst scheme.

[0099] Example 2

[0100] Reference Figure 2 This is the second embodiment of the present invention, which provides a method for improving the reliability of a multi-energy distribution network. The distribution network is tested and analyzed according to different methods, and scientific demonstration is carried out through comparative experiments.

[0101] like Figure 2 As shown, the power distribution network in this embodiment includes 54 nodes and 6 important loads.

[0102] Method 1: Network Reconfiguration: This method improves the reliability of the distribution network by adjusting the network topology without considering distributed generation.

[0103] Method 2: Distributed power supply method: Connect distributed power sources to several nodes in advance, calculate and analyze feasible power transfer paths, and connect distributed power sources to nodes 31, 28, 8, and 16.

[0104] Twenty fault scenarios were randomly set using the Monte Carlo method. The optimal power supply scheme was calculated using Method 1, Method 2, and the method of this invention, respectively. Based on the reliability improvement contribution rate under each power supply scheme, power flow calculations were performed to obtain the voltage of each node and the power flow of each line. When the voltage constraint (0.95 ≤ node voltage per unit value ≤ 1.05) and the power constraint (branch power ≤ 1.05 times the rated power value) were not met, the number of nodes with voltage exceeding limits and the number of lines with power flow exceeding limits were obtained. The number of switch operations was also counted. The results of each method are shown in Table 1.

[0105] Table 1 Comparison of Effects

[0106]

[0107] Method 1: Only considers changes in the grid structure without taking into account the power supply capacity of distributed power sources. After a fault, some important loads will be unable to be powered, resulting in the lowest contribution to reliability improvement. In addition, the number of switching operations is high, leading to operational complexity.

[0108] Method 2: Distributed power supply was connected, but no power flow verification was performed for initial screening, and no switching operation count was performed for secondary screening. This improved reliability to some extent, but resulted in more nodes and lines exceeding limits, affecting production safety.

[0109] The method of this invention ensures no voltage or power flow exceedances, requires fewer switching operations, and contributes the most to improving reliability, thus effectively enhancing reliability.

[0110] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for improving the reliability of a multi-energy distribution network, characterized in that, include: Based on the actual multi-energy distribution network planning requirements, the number of distributed power sources is determined using the power circle algorithm. Regional multi-energy distribution network; Determine the path set within the regional distribution network using distributed power sources and loads when no faults occur; The fault scenario is simulated using a temporal Monte Carlo method, based on the set of paths under the fault scenario. Determine a power restoration plan The aforementioned power restoration scheme include: For the recovery load Set, calculate the recovered load for each of them. The contribution rate of reliability improvement , represented as: ; in, j This represents the load number within the load set restored under the f-th fault scenario in the i-th region's multi-energy distribution network. J This represents the number of loads restored in the f-th fault scenario of a multi-energy distribution network in an i-region. This represents the load weighting factor. Indicates the first j The size of the active load; Prioritize restoring power to loads that enhance reliability. Sort loads by their reliability contribution rate in descending order, and search for loads that meet a threshold value to form a set. Represented as: ; in, Describe the z-th load that is not less than the decision threshold; analyze Backup connection paths for all recoverable loads Combining all power supply path combinations For power supply path combination Power flow calculations are performed on all power supply paths. If the voltage or power constraints are not met, the path is deleted; otherwise, it is retained. After traversing all power supply paths, a power restoration scheme is obtained. ; Based on the primary power restoration scheme and the switch operation, a secondary power restoration scheme is determined. The secondary power restoration scheme ,include: According to the power restoration plan Determine the tie switches and sectionalizing switches included in the power restoration path, and iterate through all tie switches; If a loop is formed in the multi-energy distribution network in this area, the tie switch shall be removed; if the sectionalizing switch belongs to the loop formed in the multi-energy distribution network in this area, the sectionalizing switch shall be opened. Statistical analysis If the number of operations of all sectionalizing switches and interconnecting switches exceeds the threshold, the primary power restoration scheme is removed, the judgment ends, and a secondary power restoration scheme is obtained. ; Power flow constraints are applied to the secondary power restoration scheme to determine the tertiary power restoration scheme. The three-stage power restoration scheme ,include: Secondary power restoration plan Calculate power flow, verify it based on voltage and power constraints, and retain the generated three-stage power restoration scheme if the constraints are met. The cumulative reliability improvement contribution rate for each load is the three-stage power restoration scheme. The improved reliability contributes to the interest rate; The optimal solution is selected based on the load reliability improvement contribution rate; the selection of the optimal solution based on the load reliability improvement contribution rate includes: Randomly adjust the grid connection location of distributed power sources, combined with power restoration schemes. , , The system iterates through the fault scenarios and distributed power source locations to obtain the access locations of each distributed power source and the power restoration paths under each fault. The optimal solution is selected based on the reliability improvement contribution rate in descending order. If the reliability improvement contribution rate is the largest, it is the optimal solution; otherwise, it is the worst solution.

2. The method for improving the reliability of a multi-energy distribution network as described in claim 1, characterized in that, The power circle algorithm includes: searching for loads along the network topology with the distributed power source as the center, until the sum of the loads is greater than or equal to the output of the distributed power source, and then stopping, and including all the searched loads into the power circle.

3. The method for improving the reliability of a multi-energy distribution network as described in claim 2, characterized in that, The division of a regional multi-energy distribution network includes: taking the distributed power source as the center, searching for loads in all directions, stopping the search when the load exceeds the maximum output of the distributed power source, dividing the load into one regional multi-energy distribution network, and processing M distributed power sources one by one.

4. The method for improving the reliability of a multi-energy distribution network as described in claim 3, characterized in that, The path set includes: based on the multi-energy distribution network, the path set of distributed power sources and loads when no fault occurs is divided into a direct connection path set. and alternative connection path set ; The set of direct join paths is represented as: ; in, i Indicates the regional multi-energy distribution network number. This represents the x-th direct link path; The set of alternative connection paths is represented as: ; in, i Indicates the regional multi-energy distribution network number. This represents the y-th alternative connection path.

5. The method for improving the reliability of a multi-energy distribution network as described in claim 4, characterized in that, The temporal Monte Carlo method includes: In a multi-energy distribution network, each device has a failure rate function. The failure rates of all devices are randomly sampled, sorted in descending order, and the device with the highest failure rate is selected. If the device with the highest failure rate fails, a failure scenario is generated. This process is repeated F times to generate F failure scenarios.

6. The method for improving the reliability of a multi-energy distribution network as described in claim 5, characterized in that, The fault scenarios include: F fault scenarios are randomly set. When a node fails, all branches connected to that node become disconnected; when a branch fails, that branch is interrupted. Path search is performed by sorting the path in descending order of line impedance and connection path, and the top 30% are taken as the direct path set. The latter 70% are a set of backup connection paths. Search along the backup connection path to find connected load nodes and determine the loads that can be restored through the backup connection path. .

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