Power distribution network reliability calculation method, device, equipment and medium

Abstract

The application discloses a kind of reliability calculation method, device, equipment and medium of distribution network.The method comprises: obtaining the position information of each type switch in line structure of distribution network, each power grid equipment and each load point in line, constructs position lookup table;Each power grid equipment in the distribution network is simulated, and according to position lookup table, the fault influence load point corresponding to each power grid equipment is determined in the process of fault simulation;According to the fault outage time expectation value of each power grid equipment fault influence load point and the number of users included in each fault influence load point, the reliability index of each power grid equipment in the distribution network is calculated, and the reliability index of power grid line matched with the power grid equipment is obtained through the reliability index of the power grid equipment.Through the technical scheme of the application, the reliability of the distribution network of the existing urban power grid can be evaluated, and the efficiency and accuracy of the distribution network reliability calculation are improved.

Description

Technical Field

[0001] This invention relates to the field of reliability calculation, and in particular to a method, apparatus, equipment and medium for reliability calculation of power distribution networks. Background Technology

[0002] Urban power grids are crucial urban infrastructure and a vital material guarantee for national economic development and social progress. In recent years, urban power grids have undergone large-scale construction and renovation, resulting in significant improvements in power supply capacity, reliability, and quality. With the rapid development of China's national economy and the accelerated growth of electricity load, urban power grid development faces both new opportunities and challenges. Therefore, power grid capacity assessment is an essential component of power grid planning.

[0003] Based on this, domestic research on power grid planning and evaluation systems is still in its early stages, and there is no mature set of results that can be directly applied. Although foreign theories are relatively mature and experience is relatively rich, the development stages, development tasks, and power market organization methods of foreign power systems are quite different from those in Jiangsu Province, making direct application difficult.

[0004] In order to gain a deeper understanding of the power supply capacity of urban power grids, as well as the existing problems and development prospects, and to better leverage the supporting role of the power grid in national economic development, and to fully reflect the coordinated development of various voltage levels in urban power grids, there is an urgent need for a practical method to comprehensively assess the reliability of the distribution network of existing urban power grids. Summary of the Invention

[0005] This invention provides a method, apparatus, equipment, and medium for calculating the reliability of power distribution networks, which can realize the reliability assessment of existing urban power grids and improve the efficiency and accuracy of power distribution network reliability calculation.

[0006] In a first aspect, the present invention provides a method for calculating the reliability of a power distribution network, the method comprising:

[0007] Obtain the location information of each type of switch, each power grid device, and each load point in the line structure of the distribution network, and construct a location lookup table;

[0008] Fault simulation is performed on each power grid device in the power distribution network, and the fault-affected load point corresponding to each power grid device is determined during the fault simulation process according to the location lookup table.

[0009] Based on the expected outage time of each power grid device affecting the load point and the number of users included in each affected load point, the reliability index of each power grid device in the distribution network is calculated, and the reliability index of the power grid line matching the power grid device is obtained through the reliability index of the power grid device.

[0010] Secondly, the present invention provides a reliability calculation device for a power distribution network, the device comprising:

[0011] The location lookup table construction module is used to obtain the location information of various types of switches, power grid equipment and load points in the line structure of the distribution network and construct the location lookup table.

[0012] The fault-affected load point determination module is used to perform fault simulation on each power grid device in the distribution network, and determine the fault-affected load point corresponding to each power grid device during the fault simulation process according to the location lookup table.

[0013] The reliability index calculation module is used to calculate the reliability index of each power grid device in the distribution network based on the expected power outage time of each power grid device's affected load point and the number of users included in each affected load point, and to obtain the reliability index of the power grid line matching the power grid device through the reliability index of the power grid device.

[0014] Thirdly, the present invention provides an electronic device, the electronic device comprising:

[0015] At least one processor; and

[0016] A memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the power distribution network reliability calculation method according to any embodiment of the present invention.

[0018] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the power distribution network reliability calculation method according to any embodiment of the present invention.

[0019] The technical solution of this invention obtains the location information of various types of switches, power grid equipment, and load points in the line structure of the distribution network, constructs a location lookup table, then performs fault simulation on each power grid equipment in the distribution network, and determines the fault-affected load points corresponding to each power grid equipment during the fault simulation process based on the location lookup table. Finally, based on the expected power outage time of each power grid equipment's fault-affected load points and the number of users included in each fault-affected load point, the reliability index of each power grid equipment in the distribution network is calculated. This solves the problem of low accuracy in distribution network reliability calculation in the prior art, realizes distribution network reliability assessment for existing urban power grids, and improves the efficiency and accuracy of distribution network reliability calculation.

[0020] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.

[0022] Figure 1 This is a flowchart of a reliability calculation method for a power distribution network provided according to Embodiment 1 of the present invention;

[0023] Figure 2 This is a flowchart of a reliability calculation method for a power distribution network provided according to Embodiment 2 of the present invention;

[0024] Figure 3 This is a schematic diagram of the structure of a reliability calculation device for a power distribution network according to Embodiment 3 of the present invention;

[0025] Figure 4 This is a schematic diagram of the structure of an electronic device that implements the reliability calculation method for power distribution networks according to embodiments of the present invention. Detailed Implementation

[0026] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. 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 scope of protection of the present invention.

[0027] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0028] Example 1

[0029] Figure 1 This is a flowchart of a method for calculating the reliability of a distribution network according to Embodiment 1 of the present invention. This embodiment is applicable to the comprehensive evaluation of the reliability of existing urban power grid distribution networks. The method can be executed by a distribution network reliability calculation device, which can be implemented in hardware and / or software. This distribution network reliability calculation device can be configured in a terminal or server with relevant functions. Figure 1 As shown, the method includes:

[0030] S110. Obtain the location information of each type of switch, each power grid device and each load point in the line structure of the distribution network, and construct a location lookup table.

[0031] The power distribution network consists of only one main line.

[0032] The power distribution network includes a power grid that receives electrical energy from the transmission network or regional power plants and distributes it locally or in stages according to voltage to various users through power distribution facilities; furthermore, the power distribution can be composed of power grid equipment such as overhead lines, cables, poles, distribution transformers, disconnect switches, reactive power compensators and some auxiliary facilities.

[0033] The various types of switches include ordinary switches and automatic switches. Furthermore, the automatic switches have self-healing capabilities. Specifically, when a fault occurs in a power grid device in the distribution network, a large short-circuit current will occur on the line where the device is located. In order to protect other equipment in the distribution network from damage by the short-circuit current, all switches on the line where the device is located will trip to disconnect the circuit. After the circuit disconnection is completed, all automatic switches on that line can automatically close to restore normal power supply, ensuring that the impact of the power grid device fault on users is minimized, thus achieving self-healing of the distribution network. In contrast, ordinary switches do not have self-healing capabilities, and the operation of closing the switch after tripping requires manual intervention by maintenance personnel.

[0034] The power grid equipment refers to all equipment that makes up the distribution network and has the potential to fail; for example, the power grid equipment may be: cables, overhead lines, circuit breakers, and distribution transformers that connect various devices in the distribution network.

[0035] Wherein, the load point is the connection point between the power distribution network and the power consumption unit; further, the power consumption unit can consist of at least one power user; for example, if 100 power users in a certain community have the same power supply line, then the 100 power users constitute one power consumption unit, and the power consumption unit is connected to the power distribution network at the load point to complete the exchange of electrical energy, that is, the load point contains 100 users.

[0036] In this embodiment, before obtaining the location information of each type of switch, each grid device, and each load point in the line structure of the distribution network, the method further includes: obtaining and parsing the CIM (City Information Modeling) file of the distribution network line structure to establish the line connection relationship of the distribution network, so as to identify the location information of each type of switch, each grid device, and each load point in the line connection relationship of the distribution network.

[0037] In this embodiment, the main line is defined as the line connection relationship of the distribution network established based on the CIM file of the distribution network line structure. The main line is identified by searching from the power source point towards the connection point. The line segment traversed by the search path is the main line, and the line segment connected to the main line at the connection point is the branch line. If the distribution network line has no connection point, the line segment with the largest wire diameter is identified as the main line. Furthermore, the connection point is used to connect two different main lines.

[0038] The location lookup table contains the location information of various types of switches, power grid equipment, and load points in the line structure of the power distribution network.

[0039] S120. Perform fault simulation on each power grid device in the power distribution network, and determine the fault-affected load point corresponding to each power grid device in the fault simulation process according to the location lookup table.

[0040] The fault-affected load points corresponding to each power grid device are: the load points that are affected by the fault of the power grid device and cause power outages.

[0041] S130. Based on the expected power outage time of each power grid equipment's affected load point and the number of users included in each affected load point, calculate the reliability index of each power grid equipment in the distribution network, and obtain the reliability index of the power grid line matching the power grid equipment through the reliability index of the power grid equipment.

[0042] Wherein, the expected power outage time is the time required to repair the power grid equipment under the premise of a fault; further, the calculation method for the expected power outage time at the load point is as follows: Wherein, μLP-F is the expected value of the fault outage time at the load point, λ is the fault outage rate of the faulty power grid equipment, that is, the probability of the power grid equipment failing, and r is the time required to repair the fault of the power grid equipment; furthermore, the fault outage rate and the time required to repair the fault can be directly obtained from the existing power grid management platform.

[0043] Specifically, based on the expected outage time at each load point affected by a fault in each power grid device and the number of users included at each affected load point, the reliability index of each power grid device in the distribution network is calculated, including:

[0044] Based on the expected outage time U of each power grid device's affected load point, the number of users N included in each affected load point, and the total number of users M of the distribution network, according to the formula... The expected total outage time for each load point corresponding to each power grid device in the distribution network is summed to calculate the reliability index K of each power grid device in the distribution network.

[0045] In this embodiment, the lower the reliability index, the longer the expected average power outage time for users due to the failure of the power grid equipment, and the more the power grid equipment needs to be optimized or maintained. Therefore, the power grid equipment can be optimized and sorted according to the reliability index K of each power grid equipment in the distribution network.

[0046] With the development of the social economy, electricity users have increasingly higher requirements for power supply reliability. Meanwhile, the accelerating and expanding scope of power sector reform and the tightening of regulations on fixed asset investment place higher demands on the precise investment of power grid companies. This embodiment provides an optimized ranking of power grid equipment based on its reliability index K. This helps planners accurately pinpoint weak points in power supply reliability based on the reliability index of each piece of equipment. According to investment capacity, they can plan comprehensively, prioritize projects based on cost-effectiveness, and rationally arrange power grid projects to maximize investment benefits. This allows for the scientific, orderly, and efficient improvement of power grid reliability using limited funds, prioritizing the optimization of equipment with lower reliability indices. The solution described in this embodiment achieves a reliability assessment of the existing urban power grid distribution network, providing technical support for planners to rationally arrange projects.

[0047] The technical solution of this invention obtains the location information of various types of switches, power grid equipment, and load points in the line structure of the distribution network, constructs a location lookup table, then performs fault simulation on each power grid equipment in the distribution network, and determines the fault-affected load points corresponding to each power grid equipment during the fault simulation process based on the location lookup table. Finally, based on the expected power outage time of each power grid equipment's fault-affected load points and the number of users included in each fault-affected load point, the reliability index of each power grid equipment in the distribution network is calculated. This solves the problem of low accuracy in distribution network reliability calculation in the prior art, realizes distribution network reliability assessment for existing urban power grids, and achieves the technical effect of providing decision support for planners to rationally arrange projects, thereby improving the efficiency and accuracy of distribution network reliability calculation.

[0048] Example 2

[0049] Figure 2 This is a flowchart of a reliability calculation method for a power distribution network provided in Embodiment 2 of the present invention. This embodiment is a refinement based on the above embodiment. Specifically, this embodiment refines the method of determining the fault-affected load point corresponding to each power grid device in the fault simulation process based on the location lookup table.

[0050] Correspondingly, such as Figure 2 As shown, the method includes:

[0051] S210: Obtain the location information of each type of switch, each power grid device and each load point in the line structure of the distribution network, construct a location lookup table, and execute S220 and S290 in parallel; wherein, the line structure of the distribution network includes only one main line.

[0052] S220. Perform fault simulation on the first power grid equipment located on the main line in the distribution network, and during the fault process of the first power grid equipment, detect whether the line where the first power grid equipment is located includes a tie switch; if yes, execute S230; if no, execute S280.

[0053] The first power grid equipment is a power grid equipment located on the main line.

[0054] In this embodiment, the fault simulation can be achieved by disconnecting each power grid device and then restoring the circuit of the power grid device according to the fault repair time of each power grid device, so as to achieve the effect of power grid device fault simulation.

[0055] The tie switch is a switch that connects two different main lines. Furthermore, if the tie switch exists, the terminal of the main line is located at the tie switch and the main line is connected to another main line at the terminal. The length of the main line of the distribution network is the length from the power supply equipment to the tie switch. Correspondingly, if the tie switch does not exist, the current main line is not connected to other main lines.

[0056] S230. According to the location lookup table, locate the two nearest automatic switches on both sides of the first power grid equipment, and locate all ordinary switches between the two automatic switches.

[0057] As can be seen from the above embodiments, the automated switch has self-healing capability. Therefore, when the two nearest automated switches are located on both sides of the first power grid equipment, and all ordinary switches included between the two automated switches are located, the automated switch has already self-healed from the tripped state to the normal closed state. Correspondingly, all ordinary switches included between the two automated switches are in the open state when they were tripped. Through the solution described in this embodiment, it can be ensured that the shortest power outage line caused by the failure of the first power grid equipment in the distribution network is minimized when a fault occurs, thus minimizing the scope of the fault impact. This is beneficial for maintenance personnel to quickly locate the fault location and also helps to reduce the adverse effects caused by problems with the first power grid equipment in the distribution network.

[0058] S240. Based on the number of ordinary switches included between each automated switch and the target power grid equipment, at least one detection area is defined between each automated switch and the first power grid equipment.

[0059] The number of detection zones can be determined by the number of ordinary switches between each automated switch and the target power grid equipment. That is, the line between two switches of the same type or different types can be divided into a detection zone. For example, if the two closest automated switches A and B located on both sides of the current target power grid equipment include three ordinary switches C, D and E, then the four detection zones between the automated switch and the target power grid equipment are AC zone, CD zone, DE zone and EB zone, respectively.

[0060] S250. Based on the switch type that divides each detection area, identify fault-free areas and faulty areas in all detection areas.

[0061] The faulty area is the area in the distribution network that is affected by a fault in the current target power grid equipment and cannot self-heal; correspondingly, the fault-free area is the area in the distribution network that is not affected by a fault in the current target power grid equipment or can self-heal.

[0062] Optionally, based on the switch type that divides each detection area, fault-free areas and faulty areas are identified among all detection areas, including:

[0063] In the entire detection area, candidate detection areas are identified by dividing them into automated and ordinary switches, and the existence of a connection point in the candidate detection area is detected. The connection point is used to connect two main lines. If a connection point is found, the peak-hour active power of the line where the candidate detection area is located and the peak-hour active power of the distribution transformer of the target power grid equipment matching the candidate detection area are obtained. Based on the peak-hour active power of the line and the peak-hour active power of the distribution transformer, it is determined whether the candidate detection area can be used for power transfer. If yes, the candidate detection area is identified as a fault-free area. If no, the current candidate detection area is identified as a faulty area. All detection areas in each detection area except the candidate detection areas are identified as faulty areas. If it is determined that no connection point exists, all detection areas are identified as faulty areas.

[0064] In this embodiment, the alternative detection area can be transferred through the connection point connecting the two main lines; wherein, the alternative detection area is an area affected by the circuit failure of the target power grid equipment, but the target power grid equipment is not located in the area, and one end of the alternative detection area is an automated switch.

[0065] Specifically, the peak-hour active power of the line where the candidate detection area is located and the peak-hour active power of the distribution transformers of the grid equipment matching the candidate detection area can be directly obtained from the grid dispatch automation system; furthermore, the formula for calculating the maximum power of the candidate detection area based on the peak-hour active power of the line where the candidate detection area is located and the peak-hour active power of the distribution transformers of the grid equipment matching the candidate detection area is as follows: where P FM-k The active power at peak time for the k-th segment of the line is given, where the k-th segment represents the location information of the candidate detection area on the main line. This information can be obtained by parsing the CIM file of the distribution network's line structure to establish the line connections of the distribution network; P Ti-k P represents the peak-time active power of the i-th power grid device in the k-th segment of the line; n represents the number of power grid devices in the k-th segment of the line; Tj-k Let be the peak-time active power of the j-th power grid equipment in the line; m be the number of power grid equipment on the main line; P LM This refers to the active power of the line during peak hours.

[0066]

[0067] The kth segment is the location information of the candidate detection area on the main line, which can be obtained by parsing the CIM file of the distribution network to establish the line connection relationship of the distribution network.

[0068] Based on the above steps, if the active power of the line in the candidate testing area during peak hours is less than the maximum load power of the transfer line, then the candidate testing area can perform transfer and is a fault-free area; correspondingly, if the active power of the line in the candidate area during peak hours is greater than the maximum load power of the transfer line, then the candidate testing area cannot perform transfer and is a faulty area; wherein, the maximum load power of the transfer line can be directly obtained through the dispatch automation system.

[0069] S260. Based on the fault repair results of at least one faulty area, identify repairable and unrepairable faulty areas within the faulty areas.

[0070] The repairable fault area is a region located in a faulty region, but which does not include the faulty target power grid equipment; correspondingly, the unrepairable fault area is a region located in a faulty region, and which includes the faulty target power grid equipment.

[0071] S270. Based on the location lookup table, locate the load point affected by the fault in the areas of repairable and unrepairable faults, and execute S2120.

[0072] S280. Identify the entire area between the first power grid equipment and the line terminal of the distribution network as an unrepairable fault area. According to the location lookup table, locate the load point affected by the fault in the unrepairable fault area and execute S2120.

[0073] The line terminal can be a tie switch of the distribution network. If the distribution network does not have a tie switch, the line terminal can also be the end point of the main line.

[0074] Those skilled in the art will know that if the main line is not connected to other main lines, i.e. there is no tie switch, and according to circuit knowledge, when the first power grid equipment of the main line fails, the power supply of the power grid line is interrupted from the point of disconnection. That is, the power grid line is disconnected from the point of failure of the first power grid equipment to the terminal. Therefore, the area between the first power grid equipment and the line terminal of the distribution network is identified as an unrepairable fault area.

[0075] S290. Perform fault simulation on the second power grid equipment located on the branch line in the power distribution network, and during the fault process of the second power grid equipment, detect whether there is a switch in the direction of the tie point of the line where the second power grid equipment is located; if there is, execute S2100; if not, execute S2110.

[0076] The second power grid device is a power grid device located on a branch line.

[0077] The direction of the connection point is the direction from the branch line to the main line of the power distribution network.

[0078] S2100: Identify the line where the second power grid equipment is located as a faulty area, and locate the load point affected by the fault in the faulty area according to the location lookup table, and execute S2120.

[0079] As we know from circuit theory, if there is a switch in the direction of the connection point, the branch line can be isolated from the current main line by disconnecting the switch. In this case, the line where the second power grid equipment is located is a faulty area, and the other lines are fault-free areas.

[0080] S2110. After assuming that the second power grid device is a device located on the main line at the location of the connection point, execute S220.

[0081] As we know from circuit knowledge, if there is no switch in the direction of the connection point, the branch line cannot be isolated from the current main line by disconnecting the switch. That is, at this time, it can be assumed that the second power grid equipment is located at the connection point of the main line, and the faulty area and the fault-free area can be divided by the judgment logic S220 of the first power grid equipment located on the main line.

[0082] S2120. Based on the expected power outage time of each power grid equipment's affected load point and the number of users included in each affected load point, calculate the reliability index of each power grid equipment in the distribution network, and obtain the reliability index of the power grid line matching the power grid equipment through the reliability index of the power grid equipment.

[0083] Optionally, before considering the expected outage time at each affected load point of the fault in each power grid device and the number of users included in each affected load point, the following further steps are also included:

[0084] The fault type of each load point affected by a fault in each power grid device is determined. The fault type includes a first fault type or a second fault type. The first fault type is a fault that is resolved by closing a common switch matching the faulty area. The second fault type is a fault that is resolved by closing a common switch matching the faulty area and repairing the target power grid device. Based on the fault type of the load point affected by each fault in each power grid device, the type repair time for each faulty load point of each power grid device is obtained. Based on the type repair time for each faulty load point of each power grid device and the fault outage rate of each power grid device, the expected fault outage time for each load point affected by a fault in each power grid device is calculated.

[0085] Specifically, since the first fault type is a fault type that is eliminated by closing a normal switch that matches the faulty area, and the second fault type is a fault type that is eliminated by closing a normal switch that matches the faulty area and repairing the target power grid equipment, the time required for users in the faulty area with the first fault type to restore power is shorter than the time required for users in the faulty area with the second fault type to restore power. Therefore, when calculating the total outage time, the outage time corresponding to the two fault types needs to be calculated separately and then added together to obtain the final total outage time. Then, combined with the fault outage rate of each power grid equipment, the expected value of the fault outage time of the load point affected by the fault of each power grid equipment is calculated.

[0086] The technical solution of this invention obtains the location information of various types of switches, power grid equipment, and load points in the line structure of the distribution network, constructs a location lookup table, then performs fault simulation on each power grid equipment in the distribution network, and determines the fault-affected load points corresponding to each power grid equipment during the fault simulation process based on the location lookup table. Finally, based on the expected power outage time of each power grid equipment's fault-affected load points and the number of users included in each fault-affected load point, the reliability index of each power grid equipment in the distribution network is calculated. This solves the problem of low accuracy in distribution network reliability calculation in the prior art, realizes distribution network reliability assessment for existing urban power grids, and improves the efficiency and accuracy of distribution network reliability calculation.

[0087] Example 3

[0088] Figure 3 This is a schematic diagram of the structure of a power distribution network reliability calculation device provided in Embodiment 3 of the present invention. Figure 3 As shown, the device includes:

[0089] The location lookup table construction module 310 is used to obtain the location information of various types of switches, power grid equipment and load points in the line structure of the distribution network and construct a location lookup table.

[0090] The fault-affected load point determination module 320 is used to perform fault simulation on each power grid device in the distribution network, and determine the fault-affected load point corresponding to each power grid device during the fault simulation process according to the location lookup table.

[0091] The reliability index calculation module 330 is used to calculate the reliability index of each power grid device in the distribution network based on the expected value of the fault outage time of each power grid device's affected load point and the number of users included in each fault-affected load point, and to obtain the reliability index of the power grid line matching the power grid device through the reliability index of the power grid device.

[0092] The technical solution of this invention obtains the location information of various types of switches, power grid equipment, and load points in the line structure of the distribution network, constructs a location lookup table, then performs fault simulation on each power grid equipment in the distribution network, and determines the fault-affected load points corresponding to each power grid equipment during the fault simulation process based on the location lookup table. Finally, based on the expected power outage time of each power grid equipment's fault-affected load points and the number of users included in each fault-affected load point, the reliability index of each power grid equipment in the distribution network is calculated. This solves the problem of low accuracy in distribution network reliability calculation in the prior art, realizes distribution network reliability assessment for existing urban power grids, and improves the efficiency and accuracy of distribution network reliability calculation.

[0093] Based on the above embodiments, the fault-affected load point determination module 320 includes:

[0094] The first tie switch detection unit is used to perform fault simulation on the first power grid equipment located on the main line in the distribution network, and to detect whether the line where the first power grid equipment is located includes a tie switch when the first power grid equipment is in a fault state.

[0095] A common switch positioning unit is used to locate the two nearest automatic switches on both sides of the first power grid equipment according to the location lookup table, and to locate all common switches between the two automatic switches.

[0096] The detection area division unit is used to divide at least one detection area between each automated switch and the first power grid device according to the number of ordinary switches included between each automated switch and the target power grid device.

[0097] The region segmentation unit is used to identify fault-free regions and faulty regions in all detection regions according to the switch type that divides each detection region;

[0098] The repair result determination unit is used to identify repairable and unrepairable fault areas in the faulty area based on the fault repair result of at least one faulty area.

[0099] The first fault-affected load point location unit is used to locate the fault-affected load point in the areas of repairable and unrepairable faults by looking up a location table.

[0100] Based on the above embodiments, the fault-affected load point determination module 320 further includes:

[0101] The first unrepairable fault area identification unit is used to identify the entire area between the first power grid equipment and the line terminal of the distribution network as an unrepairable fault area.

[0102] The second fault-affected load point location unit is used to locate the fault-affected load point in the unrepairable fault area according to a location lookup table.

[0103] Based on the above embodiments, the first region segmentation unit further includes:

[0104] The first contact point detection unit is used to identify candidate detection areas divided by automatic switches and ordinary switches in the entire detection area, and to detect whether there is a contact point in the candidate detection areas, wherein the contact point is used to connect two main lines;

[0105] The power transfer detection unit is used to obtain the peak-hour active power of the line where the candidate detection area is located and the peak-hour active power of the power grid equipment matching the candidate detection area, and to detect whether the candidate detection area can transfer power based on the peak-hour active power of the line and the peak-hour active power of the power grid equipment.

[0106] The fault-free area identification unit is used to identify the candidate detection area as a fault-free area.

[0107] The faulty area identification unit is used to identify the current candidate detection area as a faulty area.

[0108] The first faulty area identification unit is used to identify all detection areas in each detection area except for the candidate detection areas as faulty areas;

[0109] The second faulty area identification unit is used to identify all detection areas as faulty areas if it is determined that no connection point exists.

[0110] Based on the above embodiments, the fault-affected load point determination module 320 further includes:

[0111] The second connection point detection unit is used to perform fault simulation on the second power grid equipment located on the branch line in the distribution network, and to detect whether there is a switch in the direction of the connection point of the line where the second power grid equipment is located during the fault process.

[0112] The third fault-affected load point location unit is used to identify the line where the second power grid equipment is located as a faulty area if it exists, and locate the fault-affected load point in the faulty area according to the location lookup table.

[0113] The fourth fault-affected load point unit is used to determine the fault-affected load point corresponding to the second power grid equipment if it does not exist, assuming that the second power grid equipment is a device located on the main line at the location of the connection point.

[0114] Based on the above embodiments, the reliability index calculation module 330 includes:

[0115] The fault type determination unit is used to determine the fault type of each fault-affected load point of each power grid device to which the fault area belongs, wherein the fault type includes a first fault type or a second fault type;

[0116] The type repair time acquisition unit is used to acquire the type repair time of each fault load point of each power grid device according to the fault type of the fault area to which each fault-affected load point of each power grid device belongs;

[0117] The expected value calculation unit for fault outage time is used to calculate the expected value of fault outage time for each load point affected by a fault of each power grid device, based on the type of repair time of each fault load point of each power grid device and the fault outage rate of each power grid device.

[0118] Based on the above embodiments, the reliability index calculation module 330 further includes:

[0119] The reliability index calculation unit is used to calculate the reliability index based on the expected outage time U of each power grid equipment's affected load point, the number of users N included in each affected load point, and the total number of users M of the distribution network, according to the formula. Calculate the reliability index K of each power grid device in the power distribution network.

[0120] The power distribution network reliability calculation device provided in the embodiments of the present invention can execute the power distribution network reliability calculation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method execution.

[0121] Example 4

[0122] Figure 4 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0123] like Figure 4 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0124] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0125] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as reliability calculation methods for power distribution networks.

[0126] Accordingly, the method includes:

[0127] Obtain the location information of each type of switch, each power grid device, and each load point in the line structure of the distribution network, and construct a location lookup table;

[0128] Fault simulation is performed on each power grid device in the power distribution network, and the fault-affected load point corresponding to each power grid device is determined during the fault simulation process according to the location lookup table.

[0129] Based on the expected outage time of each power grid device affecting the load point and the number of users included in each affected load point, the reliability index of each power grid device in the distribution network is calculated, and the reliability index of the power grid line matching the power grid device is obtained through the reliability index of the power grid device.

[0130] In some embodiments, the method for calculating the reliability of a distribution network can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for calculating the reliability of a distribution network described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the method for calculating the reliability of a distribution network by any other suitable means (e.g., by means of firmware).

[0131] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0132] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0133] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0134] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0135] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0136] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0137] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and no limitation is imposed herein.

Claims

1. A method for calculating the reliability of a power distribution network, characterized in that, include: Obtain the location information of each type of switch, each power grid device, and each load point in the line structure of the distribution network, and construct a location lookup table; Fault simulation is performed on each power grid device in the power distribution network, and the fault-affected load point corresponding to each power grid device is determined during the fault simulation process according to the location lookup table. Based on the expected outage time of each power grid device's affected load point and the number of users included in each affected load point, the reliability index of each power grid device in the distribution network is calculated, and the reliability index of the power grid line matching the power grid device is obtained through the reliability index of the power grid device. The process involves determining the fault-affected load points corresponding to each power grid device during fault simulation, based on a location lookup table. This includes: performing fault simulation on the first power grid device located on the main line of the distribution network; detecting whether the line containing the first power grid device includes a tie switch during the fault process; if so, locating the two nearest automatic switches on both sides of the first power grid device according to the location lookup table, and locating all ordinary switches between the two automatic switches; dividing at least one detection area between each automatic switch and the first power grid device based on the number of ordinary switches between each automatic switch and the target power grid device; identifying fault-free areas and faulty areas in all detection areas based on the switch type used to divide each detection area; identifying repairable and unrepairable faulty areas in the faulty areas based on the fault repair results of at least one faulty area; and locating the fault-affected load points in the repairable and unrepairable faulty areas according to the location lookup table.

2. The method according to claim 1, characterized in that, Fault simulation is performed on the first power grid equipment located on the main line of the distribution network. After detecting whether the line containing the first power grid equipment includes a tie switch during the fault process, the simulation further includes: If not, the entire area between the first power grid equipment and the line terminal of the distribution network will be identified as an unrepairable fault area. Based on the location lookup table, locate the load point affected by the fault in the unrepairable fault area.

3. The method according to claim 1, characterized in that, Based on the switch type that divides each detection area, fault-free areas and faulty areas are identified among all detection areas, including: In the entire detection area, candidate detection areas are identified by dividing the area into automated switches and ordinary switches, and it is detected whether there is a connection point in the candidate detection areas, wherein the connection point is used to connect two main lines; If a connection point is determined, the peak-hour active power of the line where the candidate detection area is located and the peak-hour active power of the power grid equipment matching the candidate detection area are obtained. Based on the peak-hour active power of the line and the peak-hour active power of the power grid equipment, it is determined whether the candidate detection area can transfer power. If yes, then the candidate detection area is identified as a fault-free area; if no, then the current candidate detection area is identified as a faulty area. All detection areas in each detection area, excluding the candidate detection areas, are identified as faulty areas. If no contact point is found, the entire detection area will be identified as a faulty area.

4. The method according to claim 1, characterized in that, Based on the location lookup table, the fault-affected load points corresponding to each power grid device are determined during the fault simulation process, including: Fault simulation is performed on the second power grid equipment located on the branch line in the power distribution network, and during the fault process of the second power grid equipment, it is detected whether there is a switch in the direction of the tie point of the line where the second power grid equipment is located; If it exists, the line where the second power grid equipment is located is identified as a faulty area, and the load point affected by the fault is located in the faulty area according to the location lookup table; If it does not exist, then, assuming that the second power grid device is a device located on the main line at the location of the connection point, the fault-affected load point corresponding to the second power grid device is determined.

5. The method according to any one of claims 1-4, characterized in that, Before calculating the reliability index of each power grid device in the distribution network based on the expected outage time at the load point affected by the fault of each power grid device and the number of users included in each load point affected by the fault, and before obtaining the reliability index of the power grid line matching the power grid device through the reliability index of the power grid device, the process further includes: Determine the fault type of each fault-affected load point of each power grid device to which the fault area belongs, wherein the fault type includes a first fault type or a second fault type; The first fault type is a fault type that is eliminated by closing a normal switch that matches the faulty area; the second fault type is a fault type that is eliminated by closing a normal switch that matches the faulty area and repairing the target power grid equipment. Based on the fault type of each fault load point of each power grid device, obtain the type repair time of each fault load point of each power grid device; Based on the type and repair time of each fault load point of each power grid device, and the fault outage rate of each power grid device, the expected value of the fault outage time of each power grid device affecting the load point is calculated.

6. The method according to claim 5, characterized in that, Based on the expected outage time of each grid device's affected load point and the number of users included in each affected load point, the reliability index of each grid device in the distribution network is calculated. Then, the reliability index of the grid line matching the grid device is obtained through the reliability index of the grid device, including: Based on the expected outage time U of each power grid device's affected load point, the number of users N included in each affected load point, and the total number of users M of the distribution network, according to the formula... Calculate the reliability index K of each power grid device in the power distribution network.

7. A reliability calculation device for a power distribution network, characterized in that, include: The location lookup table construction module is used to obtain the location information of various types of switches, power grid equipment and load points in the line structure of the distribution network and construct the location lookup table. The fault-affected load point determination module is used to perform fault simulation on each power grid device in the distribution network, and determine the fault-affected load point corresponding to each power grid device during the fault simulation process according to the location lookup table. The reliability index calculation module is used to calculate the reliability index of each power grid device in the distribution network based on the expected power outage time of each power grid device's affected load point and the number of users included in each affected load point, and to obtain the reliability index of the power grid line matching the power grid device through the reliability index of the power grid device. The fault-affected load point determination module includes: a first tie switch detection unit, used to simulate a fault in a first power grid device located on the main line of the distribution network, and to detect whether a tie switch is included on the line where the first power grid device is located during a fault; a common switch positioning unit, used to locate the two nearest automatic switches on both sides of the first power grid device according to the location lookup table, and to locate all common switches included between the two automatic switches; a detection area division unit, used to divide at least one detection area between each automatic switch and the first power grid device according to the number of common switches included between each automatic switch and the target power grid device; an area segmentation unit, used to identify fault-free areas and faulty areas in all detection areas according to the switch type used to divide each detection area; a repair result determination unit, used to identify repairable faults and unrepairable fault areas in the faulty areas according to the fault repair result of at least one faulty area; and a first fault-affected load point positioning unit, used to locate the fault-affected load point in the repairable and unrepairable fault areas according to the location lookup table.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the power distribution network reliability calculation method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that are used to cause a processor to execute the power distribution network reliability calculation method according to any one of claims 1-6.

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