Toughness evaluation method of power distribution system in extreme weather, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a toughness evaluation method for a power distribution system in extreme weather, electronic equipment and a storage medium. The method comprises the following steps: acquiring an equipment attribute value of power distribution equipment in the power distribution system, a network topology of the power distribution system and extreme weather data; correcting an equipment attribute value of power distribution equipment in the power distribution system based on the extreme weather data; determining the operation state of the power distribution system according to the network topology of the power distribution system and the corrected equipment attribute value; according to the operation state of the power distribution system, the toughness change process of the power distribution system is described in combination with the fault self-healing process of the power distribution system, and the toughness change process comprises the process that the load loss amount of the power distribution system changes along with time; and determining a toughness evaluation result of the power distribution system according to the toughness change process of the power distribution system. And the performance of the power system can be determined more accurately and efficiently.

Description

Technical Field

[0001] The present application relates to the technical field of power system resilience assessment, and particularly to a method for assessing the resilience of a distribution system under extreme weather, an electronic device, and a storage medium. Background Art

[0002] Resilience, also translated as elasticity or recoverability, was first proposed by ecologist Holling and defined as the ability of an ecosystem to withstand and absorb disturbances and maintain system stability. Subsequently, the term resilience has been widely applied to other fields, including the power system field. Resilience is a measure of the ability of a power system to respond quickly and flexibly to disturbances. A resilient power cyber-physical system not only has the ability to cope with random events and quickly recover to the normal operating state, but also can address the system vulnerabilities caused by random events through appropriate means, actions, strategies, etc.

[0003] In recent years, large-scale power outages in the power grid caused by extreme events such as natural disasters have occurred frequently. Although the probability of such extreme events is small, the consequences once they occur are usually very serious. In traditional distribution system resilience theory, the analysis of distribution system resilience only considers the analysis of the distribution physical system. Therefore, it is difficult to accurately reflect the true performance of the distribution system in the face of resilience using traditional distribution system resilience theory. Summary of the Invention

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art and propose a method for assessing the resilience of a distribution system under extreme weather, an electronic device, and a storage medium, which is used to solve the problem that it is difficult to accurately reflect the true performance of the distribution system in the face of resilience using traditional distribution system resilience theory.

[0005] In a first aspect, the present application provides a method for assessing the resilience of a distribution system under extreme weather, characterized by comprising:

[0006] Obtaining the device attribute values of distribution devices in the distribution system, the network topology of the distribution system, and extreme weather data;

[0007] Based on the extreme weather data, correcting the device attribute values of distribution devices in the distribution system;

[0008] Determining the operating state of the distribution system according to the network topology of the distribution system and the corrected device attribute values;

[0009] According to the operating state of the distribution system, describing the resilience change process of the distribution system in combination with the fault self-healing process of the distribution system, and the resilience change process includes the process of the load loss of the distribution system changing with time;

[0010] Determine the resilience assessment result of the distribution system according to the resilience change process of the distribution system.

[0011] Further, modifying the device attribute values of the distribution devices in the distribution system based on the extreme weather data includes: modifying the device attribute values of the distribution devices according to the extreme weather data in combination with the probability distribution function and the lognormal correction model.

[0012] Further, the distribution system includes a distribution information system and a distribution physical system; the network topology of the distribution system is used to describe the connection relationship between any two distribution devices in the distribution system;

[0013] The distribution devices in the distribution system include information devices of the distribution information system and physical devices of the distribution physical system; the device attribute values of the distribution devices in the distribution system include several communication parameters of the information devices and several operation parameters of the physical devices.

[0014] Further, the operating state of the distribution system is used to indicate the load change of the distribution system under the extreme weather and during the self-healing process of the distribution system failure, including the operating states of the distribution information system and the distribution physical system;

[0015] The operating state of the distribution information system is used to indicate the telemetry / telecommunication / remote control state of the distribution system during the self-healing process of the distribution system failure, at least including: information device failure / normal state, packet loss state, error code state, delay state;

[0016] The operating state of the distribution physical system is used to indicate the operating state of the distribution physical system under the extreme weather, at least including: physical device failure / normal state, power supply / electricity consumption device capacity.

[0017] Further, the self-healing process of the distribution system failure includes:

[0018] The distribution information system performs telemetry communication in the power outage area, collects system failure information, and locates the failure area;

[0019] According to the located failure area, the distribution information system performs remote control communication to send control information to make the switch corresponding to the failure area act, and divides and isolates the main network power supply area, island area, and passive area;

[0020] The distribution information system performs telecommunication to determine whether the isolation is successful;

[0021] After the isolation is successful, the circuit breaker closes, and the power supply device responds to restore part of the load;

[0022] The passive region is physically repaired by maintenance personnel.

[0023] Further, the resilience change process of the power distribution system includes the load loss amount and the duration of each of multiple stages, where the multiple stages include a fault occurrence stage, a fault location stage, a fault isolation stage, an isolation determination stage, a non-fault area restoration stage, and a fault repair stage;

[0024] Determining the resilience evaluation result of the power distribution system according to the resilience change process of the power distribution system includes: according to the resilience change process of the power distribution system, counting the load loss amount and the duration of each stage, calculating the total resilience area, and obtaining the resilience evaluation result of the power distribution system.

[0025] Further, determining the operating state of the power distribution system according to the network topology of the power distribution system and the corrected device attribute values includes:

[0026] According to the network topology of the power distribution system and the corrected device attribute values, configure the protection, distribution network automation, and production operation and maintenance of the power distribution system to generate an operating scenario;

[0027] Based on the operating scenario, establish the operating state of the power distribution information system and the operating state of the power distribution physical system;

[0028] Describing the resilience change process of the power distribution system according to the operating state of the power distribution system and combining the fault self-healing process of the power distribution system includes: according to the operating state of the power distribution information system and the operating state of the power distribution physical system, combining the fault self-healing process of the power distribution system to draw the resilience change process of the power distribution system, including the load loss amount and the duration of each stage.

[0029] In a second aspect, an electronic device for implementing one of the inventive purposes provided by an embodiment of the present application includes a processor, a storage medium, and a computer program. The computer program is stored in the storage medium, and when the computer program is executed by the processor, the steps of the performance evaluation method of the above power distribution system are implemented.

[0030] In a third aspect, the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the processor is caused to implement the steps of the performance evaluation method of the above power distribution system.

[0031] The beneficial effects of the present invention are as follows: The present invention provides a method for evaluating the resilience of a distribution system under extreme weather, which is carried out from two aspects. One is the impact of extreme weather on the equipment of the distribution system, and the other is the resilience evaluation method combining the distribution physical system and the distribution information system. In addition to considering the analysis of the distribution physical system, the distribution information system is also considered; it describes the change process of the distribution system resilience by considering the fault self-healing process of the distribution system under extreme weather, counts the load loss amount and the duration of each stage, calculates the resilience area, and then obtains the evaluation result of the distribution system resilience. This method can intuitively evaluate the resilience level of the distribution system under extreme weather through the resilience area, provide a basis for further research on improving the resilience of the distribution system, and guide the construction of the distribution network.

[0032] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the disclosure content of the embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0034] Figure 1 It is a schematic flowchart of the method for evaluating the resilience of a distribution system under extreme weather according to the embodiments of the present application;

[0035] Figure 2 It is a resilience curve diagram of a distribution system under a typical fault scenario provided by the method of the present invention;

[0036] Figure 3 It is the IEEE-33 node system provided by the method of the present invention;

[0037] Figure 4 It is a power supply restoration scheme diagram under fault scenario 1 provided by the method of the present invention.

[0038] Figure 5 It is a resilience curve diagram of a distribution system under fault scenario 1 provided by the method of the present invention.

[0039] Figure 6 It is a power supply restoration scheme diagram under fault scenario 2 provided by the method of the present invention.

[0040] Figure 7 It is a resilience curve diagram of a distribution system under fault scenario 2 provided by the method of the present invention.

[0041] Figure 8 It is a power supply restoration scheme diagram under fault scenario 3 provided by the method of the present invention.

[0042] Figure 9 The resilience curve diagram of the power distribution system under Fault Scenario 3 provided by the method of the present invention.

[0043] Figure 10 The power supply restoration plan diagram under Fault Scenario 4 provided by the method of the present invention.

[0044] Figure 11 The resilience curve diagram of the power distribution system under Fault Scenario 4 provided by the method of the present invention.

[0045] Figure 12 The power supply restoration plan diagram under Fault Scenario 5 provided by the method of the present invention.

[0046] Figure 13 The resilience curve diagram of the power distribution system under Fault Scenario 5 provided by the method of the present invention. Detailed implementation manners

[0047] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0048] The flowchart shown in the accompanying drawings is only an example illustration, and does not necessarily include all the contents and operations / steps, nor does it necessarily need to be executed in the described order. For example, some operations / steps can also be decomposed, combined, or partially merged. Therefore, the actual execution order may be changed according to the actual situation.

[0049] Next, some embodiments of the present application will be described in detail in conjunction with the accompanying drawings. Without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0050] See Figure 1 , the resilience assessment method of the power distribution system under extreme weather provided by the present invention includes the following steps:

[0051] Obtain the device attribute values of the power distribution devices in the power distribution system, the network topology of the power distribution system, and the extreme weather data;

[0052] Based on the extreme weather data, correct the device attribute values of the power distribution devices in the power distribution system;

[0053] Determine the operating state of the power distribution system according to the network topology of the power distribution system and the corrected device attribute values;

[0054] Describe the resilience change process of the power distribution system according to the operating state of the power distribution system, in combination with the fault self-healing process of the power distribution system. The resilience change process includes the process of the load loss of the power distribution system changing with time.

[0055] Determine the resilience evaluation result of the power distribution system according to the resilience change process of the power distribution system.

[0056] In some embodiments, the power distribution system includes a power distribution information system and a power distribution physical system; the power distribution system equipment includes the information equipment of the power distribution information system and the physical equipment of the power distribution physical system. For example, the information equipment of the power distribution information system includes, but is not limited to, at least one of the following: intelligent electronic device (IED), optical network unit, passive optical splitter, optical line terminal, switch, and of course is not limited thereto; the physical equipment of the power distribution physical system includes, but is not limited to, at least one of the following: circuit breaker, tie switch, sectionalizing switch, distributed energy, emergency tram, and of course is not limited thereto.

[0057] In addition to considering the analysis of the power distribution physical system, the power distribution information system is also considered. Currently, the impact generated by the operating state of the information system is mainly considered, and corresponding information system connectivity and operating state, packet loss, bit error, and delay models are established. According to the extreme weather data, combined with the probability distribution function and the lognormal correction model, the equipment attribute values of the power distribution equipment are corrected, and then the operating state of the information system is obtained. Combining the fault self-healing process, the resilience evaluation of the power distribution system facing extreme weather is analyzed; in the prior art, the failure rate of power distribution equipment mostly uses a fixed value. In fact, the failure rate is not a fixed value under extreme weather and should change according to a certain probability distribution. Moreover, when analyzing the fault recovery of the power distribution system under extreme weather, the role of the information system in the fault self-healing process is often ignored, and the performance evaluation of the power system considering extreme weather cannot be accurately realized. In view of the above shortcomings of the prior art, the inventors of the present application propose a new performance evaluation method for the power distribution system, so that the telemetry, remote control, remote signaling, and terminal state of the power distribution information system under extreme weather can be considered during the performance evaluation process, the resilience change process of the power distribution system can be obtained in combination with the fault self-healing process, and the definitions of each stage of the resilience process are proposed, and a new calculation formula for the power distribution system resilience index is proposed.

[0058] In some embodiments, the correcting the equipment attribute values of the power distribution equipment in the power distribution system based on the extreme weather data includes: correcting the equipment attribute values of the power distribution equipment according to the extreme weather data in combination with the probability distribution function and the lognormal correction model.

[0059] Exemplarily, taking typhoon weather as a representative event of extreme weather, the extreme weather data includes, but is not limited to, historical observed values of typhoon wind speed, and the probability distribution function includes, but is not limited to, the cumulative distribution function of the Gumbel probability distribution. The historical observed value data of typhoon wind speed can be fitted by the Gumbel probability distribution, and the samples of typhoon wind speed are obtained by inverse transformation through the cumulative distribution function of the Gumbel probability distribution. The occurrence time (1 - 24h) of the typhoon weather event is determined by T s = U(1, 24), where U(1, 24) represents a random number uniformly distributed between 1 and 24h, and the Gumbel probability distribution is expressed as follows:

[0060]

[0061] In the formula, x is the wind speed variable; μ and β are the location and scale parameters of the Gumbel distribution respectively.

[0062] Exemplarily, the lognormal correction model is based on the lognormal distribution of the failure rate of overhead lines and combines the Markov state transition probability model to construct the lognormal correction model. The overhead lines in the distribution system include poles and conductors. The failure probability of the poles is mapped to the typhoon wind speed and is represented by the lognormal of the wind speed:

[0063] λ(v(t)) = Φ[ln (v(t) / m R ) / δ R (2)

[0064] In the formula, λ(v(t)) is the failure rate of the pole; Φ is the lognormal CDF; v(t) is the typhoon wind speed; m R is the damping coefficient; δ R is the logarithmic standard deviation of the strength measurement.

[0065] In the overhead lines of the distribution system, the failure of any pole or conductor will cause the entire line to break. Therefore, the line fault model of the distribution system can be equivalent to a series model.

[0066] The failure rate of the overhead line can be expressed as:

[0067]

[0068] In the formula, f l,ij (v(t)) is the failure rate of the overhead line ij; m is the number of poles in the overhead line ij; λ h (v(t)) is the failure rate of the h-th pole in the overhead line ij.

[0069] The lognormal correction model constructed by combining the failure / normal operation state of the distribution system equipment with the Markov model is expressed by the following formula:

[0070]

[0071] where λ D is the failure rate, μ D is the repair rate, A is the availability, and Q is the unavailability. Substituting the result of Equation (3) into (4) and (5) gives the fault / normal operation state of the distribution system equipment, thereby correcting the attribute value of the distribution system equipment.

[0072] In some embodiments, the operating state of the distribution system is used to indicate the load change of the distribution system under the extreme weather and during the self-healing process of the distribution system fault, including the operating states of the distribution information system and the distribution physical system;

[0073] The operating state of the distribution information system is used to indicate the telemetry / telecommunication / remote control state of the distribution system during the self-healing process of the distribution system fault, and at least includes: the fault / normal state of the information device, the packet loss state, the error code state, and the time delay state;

[0074] The operating state of the distribution physical system is used to indicate the operating state of the distribution physical system under the extreme weather, and at least includes: the fault / normal state of the physical device, and the power supply / consumption device capacity.

[0075] Exemplarily, non-sequential Monte Carlo sampling is performed on the operating state of the distribution system according to the network topology of the distribution system and the corrected equipment attribute value to obtain the information system component state and the physical system component state.

[0076] Exemplarily, the operating state of the distribution information system includes: intelligent electronic devices (IEDs) collect measurement data of the physical system, the information is transmitted from the terminal to the master control center in the communication network, the master control center receives and analyzes the data, generates instructions and sends them to the corresponding IEDs, and the instructions are executed through the IEDs to change the operating state of the distribution information system; the network availability between each IED of the distribution information system and the master control center is obtained through simulation, and the network availability is the probability of successful interaction functions between components in the distribution information system, including the probabilities of successful telemetry, remote control, and telecommunication functions, that is, the probability of successful information interaction when the attribute value parameters of the fault / normal state of the information device, the packet loss state, the error code state, and the time delay state are all within the given threshold range.

[0077] Exemplarily, the operating state of the distribution physical system includes: when a physical device is subject to external physical interference, the transfer situation is modeled using a two-state Markov model. When a device transfers from an operating state to a faulty state due to physical factors such as electromagnetic interference, insufficient power supply, or component damage, it must be repaired to return to the operating state. That is, the working performance of such devices only depends on the failure rate and repair rate of the components themselves; the power supply / consumption device capacity includes distributed energy capacity, emergency tram capacity, node load, etc.

[0078] In some embodiments, determining the operating state of the distribution system according to the network topology of the distribution system and the corrected device attribute values includes:

[0079] According to the network topology of the distribution system and the corrected device attribute values, configure the protection, distribution network automation, and production operation and maintenance of the distribution system to generate an operating scenario; among them, the configuration of the protection, distribution network automation, and production operation and maintenance of the distribution system includes: compared with the traditional distribution system, the distribution cyber-physical system has an optimized distributed generation structure under normal operating conditions and a fault self-healing process after a fault, including three stages, namely fault location, fault isolation, and fault recovery. After the distribution terminal is connected, the telemetry, tele-signaling, and remote control of the system, that is, the three-remote functions, make full use of the real-time monitoring and control of the distribution system to achieve the automation of the entire fault handling process; in the power supply restoration stage after a fault, it is possible to realize that the island area outside the fault isolation area can restore power supply by itself with the help of distributed power sources and energy storage-related equipment; according to the configuration of the protection, distribution network automation, and production operation and maintenance of the distribution system, different power supply restoration strategy scenarios are generated, which have different impacts on production operations.

[0080] Based on the operating scenario, establish the operating state of the distribution information system and the operating state of the distribution physical system; in the process from when the distribution system fails due to extreme weather to when the distribution system returns to its original state, integrate the fault self-healing process of the distribution system feeder automation, simplify the stage conversion process to a step process, and divide the distribution system resilience curve into six stages: the fault occurrence stage, the fault location stage, the fault isolation stage, the isolation determination stage, the non-fault area restoration stage, and the fault repair stage. Among them, the distribution information subsystem mainly affects the fault location stage, the fault isolation stage, the isolation determination stage, and the non-fault area restoration stage, and involves the three-remote functions of telemetry, tele-signaling, and remote control.

[0081] Describing the resilience change process of the distribution system according to the operating state of the distribution system and combining the fault self-healing process of the distribution system includes: drawing the resilience change process of the distribution system according to the operating state of the distribution information system and the operating state of the distribution physical system, and combining the fault self-healing process of the distribution system, including the load loss amount in each stage and the duration of each stage.

[0082] In some embodiments, the process of resilience change of the power distribution system includes the load loss amount and the duration of each of multiple stages, where the multiple stages include a fault occurrence stage, a fault location stage, a fault isolation stage, an isolation determination stage, a non-fault area restoration stage, and a fault repair stage;

[0083] Exemplarily, in the process from a fault occurring in the power distribution system due to extreme weather to the power distribution system returning to its original state, integrating the self-healing process of the fault of the feeder automation of the power distribution system, simplifying the stage conversion process into a step process, the resilience curve of the power distribution system is divided into six stages, including: a fault occurrence stage, a fault location stage, a fault isolation stage, an isolation determination stage, a non-fault area restoration stage, and a fault repair stage, where the non-fault area restoration stage includes automated repair and manual repair, and the fault repair stage is manual repair.

[0084] In the fault occurrence stage, the circuit breaker trips immediately and the load is completely lost;

[0085] In the fault location stage, the power distribution information system conducts telemetry communication in the power outage area, collects system fault information, and locates the fault area; if the telemetry fails, the fault location time changes from the original approximate telemetry time of 0 to the manual fault location time T1;

[0086] In the fault isolation stage, according to the fault location information, the power distribution information system conducts remote control communication to send control information to make the nearby switch operate, and divides the main network power supply area, the island area, and the passive area; if the tele-signal fails, the fault isolation feedback time changes from the original approximate tele-signal time of 0 to the troubleshooting time T2 of the maintenance personnel;

[0087] In the isolation determination stage, the power distribution information system conducts tele-signal communication to determine whether the isolation is successful; if the remote control fails, the confirmation feedback time of the fault isolation time changes from the original approximate remote control time of 0 to the troubleshooting time T3 of the maintenance personnel;

[0088] After the isolation determination is successful, the circuit breaker closes and the power supply equipment (distributed energy DG, tie-line power transfer, emergency tram, etc.) responds. The distributed energy and tie-line power transfer rely on the remote control communication of the power distribution information system to close the switch to restore part of the load; the capacity of the emergency tram is limited and can only restore part of the load in the passive area; this stage corresponds to the non-fault area restoration time T4;

[0089] The passive area is physically repaired by the maintenance personnel, corresponding to the maintenance personnel repair time T5.

[0090] In the case where the information system is unreliable but there are sufficient technical personnel, the fault isolation and power supply restoration of multiple areas can be carried out simultaneously.

[0091] In the case of unreliable information systems and insufficient technical personnel, the fault isolation and power supply restoration in multiple regions are not completed simultaneously. The regions that restore power supply first according to the importance of the regions or complete fault isolation first can restore power supply first. For example, the main network power supply region is more important, and the maintenance personnel give priority to restoring this region, and then restore the region where isolation is completed first.

[0092] Among them, whether to include the islanding strategy is considered in different scenario strategies for the distributed energy DG. If the islanding strategy is considered, the distributed energy DG provides energy for the island area. If the islanding strategy is not considered, the island area becomes a passive area; the tie line is used to obtain power supply from other power sources or distribution regions through the tie line when a part of the distribution system fails; the emergency tram can quickly reach the scene when the distribution system fails and loses power due to extreme weather, and provides temporary power supply for critical infrastructure through the self - contained power source and distribution equipment.

[0093] In some embodiments, determining the resilience assessment result of the distribution system according to the resilience change process of the distribution system includes: according to the resilience change process of the distribution system, counting the load loss amount in each stage and the duration of each stage, calculating the total resilience area, and obtaining the resilience assessment result of the distribution system.

[0094] Among them, the resilience area is the sum of the products of the load loss amount in each stage and the duration of each stage:

[0095]

[0096] In the formula, Q i represents the system load loss amount in the i - th time period, T i represents the duration of the i - th time period, and N represents the number of changes in the load loss amount experienced by the system from the occurrence of the fault to the restoration.

[0097] Among them, the resilience assessment result is obtained by comparing the resilience areas. The comparison is of the resilience areas under different scenario strategies. For details, see Figure 2 . The resilience area represents the loss of the distribution system function and the duration under the influence of extreme weather. The size of this part of the area can intuitively represent the resilience level of the distribution system. The smaller the area, the stronger the resistance and recovery ability of the system to disturbance events, and the stronger the system resilience.

[0098] The toughness area is significantly affected by the reliability of the distribution information system. When the distribution information system is reliable, the duration of the fault self-healing process is short, and correspondingly, the toughness area is small and the toughness is strong; conversely, when the distribution information system is unreliable, the duration of the fault self-healing process is long, and correspondingly, the toughness area is large and the toughness is weak. Considering that the islanding strategy and emergency power supply equipment can improve the toughness of the distribution system against extreme weather, the shortage of technical personnel will weaken the toughness of the distribution system against extreme weather.

[0099] Five different test scenarios are set in this example, as shown in Table 1.

[0100] Table 1 Different strategies for different test scenarios

[0101] Scenario Whether the information system is reliable Feeder transfer Islanding strategy Emergency power generation vehicle Technical personnel 1 Reliable √ √ × Adequate 2 Reliable √ × × Adequate 3 Reliable √ √ √ Adequate 4 Unreliable √ √ × Adequate 5 Unreliable √ √ × Insufficient

[0102] Table 2 is the resource allocation table

[0103] Test scenario Distributed energy Interconnection line Emergency power generation vehicle 1 7、16、23、26 9-15、18-33、25-29 / 2 7、16、23、26 9-15、18-33、25-29 / 3 7、16、23、26 9-15、18-33、25-29 12 4 7、16、23、26 9-15、18-33、25-29 / 5 7、16、23、26 9-15、18-33、25-29 /

[0104] Under the influence of extreme weather, according to the Monte Carlo simulation method, permanent faults occur in lines 3-23, 6-26, 10-11, 14-15, and 29-30. The tie line 12-22 is damaged and cannot be used. In the case of an unreliable information system, nodes 10 and 26 cannot be collected and controlled through the distribution information system. See Figure 3 .

[0105] According to the strategy of Scenario 1, the power supply restoration plan is shown in Figure 4 . During the fault self-healing recovery process, when the distribution information system is reliable, the fault location status relies on telemetry (time approximately 0) for fault location, the fault isolation status relies on remote control (time approximately 0) for fault isolation, and the isolation determination status relies on telecommunication (time approximately 0) to determine whether the isolation is successful; due to considering the islanding strategy, distributed energy is relied on to supply load to the island area; the passive area is physically repaired by maintenance personnel, and the repair time is T5 1 , and the toughness curve is shown in Figure 5 .

[0106] Table 3 shows the various indicators of Scenario 1.

[0107]

[0108] According to the strategy of Scenario 2, the power supply restoration plan is shown in Figure 6During the self-healing and recovery process of faults, when the distribution information system is reliable, the fault location status relies on telemetry (time approximately 0) for fault location, the fault isolation status relies on remote control (time approximately 0) for fault isolation, and in the isolation determination state, it relies on tele-signaling (time approximately 0) to determine whether the isolation is successful; since the islanding strategy is not considered, multiple passive regions are formed and it is impossible to form an islanded area for power supply through distributed power sources; the passive regions are physically repaired by maintenance personnel, and the repair time is T5 2 , the resilience curve is shown in Figure 7 .

[0109] Table 4 shows the various indicators of Scenario 2

[0110]

[0111] According to the strategy of Scenario 3, the power supply restoration plan is shown in Figure 8 During the self-healing and recovery process of faults, when the distribution information system is reliable, the fault location status relies on telemetry (time approximately 0) for fault location, the fault isolation status relies on remote control (time approximately 0) for fault isolation, and in the isolation determination state, it relies on tele-signaling (time approximately 0) to determine whether the isolation is successful; since the islanding strategy is considered, distributed energy is relied on to supply loads to the islanded area; due to the consideration of emergency power generation vehicles for power supply, but with limited capacity, only part of the load can be restored; the passive regions are physically repaired by maintenance personnel, and the repair time is T5 3 , the resilience curve is shown in Figure 9 .

[0112] Table 5 shows the various indicators of Scenario 3

[0113]

[0114] During the recovery process of the non-fault area, due to the limited capacity of the emergency power supply vehicle, part of the load can be automatically restored, and the time is relatively short, which is T4 3 (The automatic recovery time is much less than the manual recovery time); since there is still part of the load loss, but there are sufficient technical personnel, it can be manually repaired, and the duration is T5 3 .

[0115] According to the strategy of Scenario 4, the power supply restoration plan is shown in Figure 10 During the self-healing and recovery process of faults, since nodes 10 and 26 cannot be collected and controlled through the distribution information system, manual positioning is required, and the manual fault location time is T1 4 ; after the positioning is completed, manual switching operations are carried out, and the corresponding manual switching isolation operation time is T2 4 ; after the isolation operation is completed, manual inspections are carried out to determine the isolation, and the corresponding manual inspection time is T3 4, meanwhile, due to sufficient technical personnel, but there are failed nodes among the acquisition and control nodes involved in the power supply restoration of the isolated island area 2, manual operation is required to complete the power supply restoration. Those who take the lead in completing the fault isolation can take the lead in restoring the power supply of the isolated island area 2. Due to the consideration of the island strategy, distributed energy is relied on to supply load to the isolated island area 1, and the automated restoration operation time is T4 4 ; The passive area is physically repaired by maintenance personnel, and the repair time is T5 4 , and the resilience curve is shown in Figure 11 .

[0116] Table 6 shows the various indicators of Scenario 4

[0117]

[0118] According to the comparison, it can be seen that when Scenario 3 considers the power supply of the emergency power generation vehicle, partial load in the passive area can be restored in a relatively short time. Therefore, the load loss in the passive area is reduced, and the physical repair time for the corresponding maintenance personnel is reduced; Scenario 2 does not consider the island strategy, so more passive areas are generated, and the physical repair time for the corresponding maintenance personnel increases

[0119] According to the strategy of Scenario 5, the power supply restoration plan is shown in Figure 12 . During the self-healing restoration process of the fault, since nodes 10 and 26 cannot be collected and controlled through the distribution information system, manual positioning is required, and the manual fault positioning time is T1 5 ; After the positioning is completed, manual switching operations are carried out, and the corresponding manual switching isolation operation time is T2 5 ; After the isolation operation is completed, manual troubleshooting is carried out to confirm the isolation, and the corresponding manual troubleshooting time is T3 5 , due to insufficient technical personnel, the corresponding manual time for each stage is relatively long. Due to the consideration of the island strategy, distributed energy is relied on to supply load to the isolated island area 1, and the automated restoration operation time is T4 5 ; The passive area is physically repaired by maintenance personnel, and the repair time is T4 5 , and the resilience curve is shown in Figure 13 .

[0120] Table 7 shows the various indicators of Scenario 5

[0121]

[0122] By analyzing the restoration processes of Scenario 1 and Scenario 2, since Scenario 2 does not consider the island strategy and forms multiple passive areas, the number of passive areas in Scenario 2 is more than that in Scenario 1. It can be obtained that the time required for Scenario 2 in the fault repair stage is longer, that is, T5 2 >T5 1Meanwhile, the area of the shaded part of the resilience curve in Scenario 1 is significantly smaller than that in Scenario 2. From this, it can be concluded that after adding the islanding strategy, the distribution system has a stronger recovery ability in the face of extreme weather, and thus stronger resilience.

[0123] Analyzing the recovery processes of Scenario 1 and Scenario 3, since Scenario 3 considers emergency tram power supply and automated repair is carried out during the recovery stage of the non-faulty area, part of the load in the passive area is repaired in a very short time, and at the same time, the repair time of the remaining load in the passive area is shortened. From this, T5 can be obtained 3 <T5 1 Meanwhile, the area of the shaded part of the resilience curve in Scenario 3 is slightly smaller than that in Scenario 1. From this, it can be concluded that after adding the emergency power equipment strategy, the distribution system has a stronger recovery ability in the face of extreme weather, and thus stronger resilience.

[0124] Analyzing the recovery processes of Scenario 1 and Scenario 4, since the information system in Scenario 4 is unreliable, nodes 10 and 26 cannot be collected and controlled through the distribution information system. The fault location, fault isolation, and isolation determination stages are all manually operated by technicians. The areas where fault isolation is completed can be powered on first, and the recovery of the distribution system takes more time. At the same time, the area of the shaded part of the resilience curve in Scenario 4 is much larger than that in Scenario 1. When the distribution information system fails, the recovery ability in the face of extreme weather is weak, and thus the resilience also decreases significantly.

[0125] Analyzing the recovery processes of Scenario 4 and Scenario 5, since there are insufficient technicians in Scenario 5, the fault location, fault isolation, and isolation determination stages are all manually operated by technicians and the time required is longer than that in Scenario 4. And the areas where fault isolation is completed cannot be powered on first. Therefore, during the recovery stage of the non-faulty area, distributed energy is relied on to recover Island Area 1. During the fault repair stage, the insufficient technicians need to repair Island Area 2 and the passive area, so a longer repair time is required. At the same time, the area of the shaded part of the resilience curve in Scenario 5 is larger than that in Scenario 4. When there are insufficient technicians, it will further weaken the recovery ability of the distribution system in the face of extreme weather.

[0126] From the above analysis, T4 can be obtained 3 <<T4 4 ≈T4 5 <<T5 3 <T5 1 ≈T5 4 <T5 2 <T5 5; Comparing multiple scenarios, enhancing the reliability of the power distribution information system can significantly improve the resilience of the power distribution system against extreme weather. Considering the islanding strategy and emergency power supply equipment can improve the resilience of the power distribution system against extreme weather. The shortage of technical personnel will weaken the resilience of the power distribution system against extreme weather. From the comparison of the resilience areas, it can also be obtained that S 场景三 <S 场景一 <S 场景二 <S 场景四 <S 场景五 。

[0127] It should be emphasized that the embodiments described in the present invention are illustrative rather than restrictive. Therefore, the present invention includes, but is not limited to, the embodiments described in the specific implementation manners. Any other implementation manners obtained by those skilled in the art based on the technical solutions of the present invention also belong to the scope of protection of the present invention.

Claims

1. A method for evaluating the resilience of a power distribution system under extreme weather conditions, characterized in that: The following steps are involved: Acquire device attribute values ​​of power distribution equipment in the power distribution system, network topology of the power distribution system, and extreme weather data; Correcting device attribute values ​​of power distribution equipment in the power distribution system based on the extreme weather data; Determine the operating state of the power distribution system according to the network topology of the power distribution system and the corrected device attribute value; According to the operating state of the power distribution system, the resilience change process of the power distribution system is described in combination with the fault self-healing process of the power distribution system, wherein the resilience change process includes a process in which the load loss amount of the power distribution system changes over time; According to the toughness change process of the power distribution system, a toughness evaluation result of the power distribution system is determined.

2. The method for evaluating the resilience of a power distribution system under extreme weather conditions according to claim 1, characterized in that: The correcting the equipment attribute value of the power distribution equipment in the power distribution system based on the extreme weather data includes: correcting the equipment attribute value of the power distribution equipment according to the extreme weather data in combination with a probability distribution function and a log-normal correction model.

3. The method for evaluating the resilience of a power distribution system under extreme weather conditions according to claim 1, characterized in that: The power distribution system includes a power distribution information system and a power distribution physical system; the network topology of the power distribution system is used to describe the connection relationship between any two power distribution devices in the power distribution system; The power distribution equipment in the power distribution system includes information equipment of the power distribution information system and physical equipment of the power distribution physical system; the equipment attribute values ​​of the power distribution equipment in the power distribution system include several communication parameters of the information equipment and several operating parameters of the physical equipment.

4. The method for evaluating the resilience of a power distribution system under extreme weather conditions according to claim 3, characterized in that: The operating status of the power distribution system is used to indicate the load change of the power distribution system under the extreme weather and during the self-healing process of the power distribution system fault, including the operating status of the power distribution information system and the power distribution physical system; The operation status of the power distribution information system is used to indicate the telemetry / telesignaling / remote control status of the power distribution system during the self-healing process of the power distribution system fault, including at least: information equipment failure / normal status, packet loss status, bit error status, and delay status; The operating status of the physical power distribution system is used to indicate the operating status of the physical power distribution system under the extreme weather conditions, and at least includes: the fault / normal status of physical equipment and the capacity of power supply / power consumption equipment.

5. The method for evaluating the resilience of a power distribution system under extreme weather conditions according to claim 4, characterized in that: The fault self-healing process of the power distribution system includes: The power distribution information system performs telemetry communication in the power outage area, collects system fault information, and locates the fault area; According to the located fault area, the power distribution information system performs remote control communication and sends control information to actuate the switch corresponding to the fault area, and divides the main grid power supply area, the island area, and the passive area for isolation; The power distribution information system performs remote communication to determine whether the isolation is successful; After successful isolation, the circuit breaker is closed and the power supply equipment responds to restore part of the load; The passive area is physically repaired by maintenance personnel.

6. The method for evaluating the resilience of a power distribution system under extreme weather conditions according to any one of claims 1 to 5, characterized in that: The resilience change process of the power distribution system includes the load loss amount of each of the multiple stages and the duration of each of the multiple stages, wherein the multiple stages include the fault occurrence stage, the fault location stage, the fault isolation stage, the isolation determination stage, the non-fault area recovery stage, and the fault repair stage; Determining the resilience assessment result of the power distribution system according to the resilience change process of the power distribution system includes: according to the resilience change process of the power distribution system, counting the load loss amount and the duration of each stage, calculating the total resilience area, and obtaining the resilience assessment result of the power distribution system.

7. The method for evaluating the resilience of a power distribution system under extreme weather conditions according to any one of claims 3 to 5, characterized in that: The determining the operating state of the power distribution system according to the network topology of the power distribution system and the corrected device attribute value includes: According to the network topology of the power distribution system and the corrected device attribute values, protection, distribution network automation, and production operation and maintenance of the power distribution system are configured to generate an operation scenario; Establishing the operating state of the power distribution information system and the operating state of the power distribution physical system based on the operating scenario; The description of the resilience change process of the distribution system based on the operating status of the distribution system in combination with the fault self-healing process of the distribution system includes: according to the operating status of the distribution information system and the operating status of the distribution physical system, the resilience change process of the distribution system is drawn in combination with the fault self-healing process of the distribution system, including the load loss amount in each stage and the duration of each stage.

8. An electronic device comprising a processor, a storage medium and a computer program, wherein the computer program is stored in the storage medium, wherein: When the computer program is executed by a processor, the steps of the method for evaluating the performance of a power distribution system according to any one of claims 1 to 7 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for evaluating the performance of a power distribution system according to any one of claims 1 to 7 are implemented.

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