Intelligent power distribution network adaptive protection method and device based on synchronous phasor data, storage medium and computing equipment

Abstract

The invention discloses an intelligent power distribution network adaptive protection method and device based on synchronous phasor data, a storage medium and computing equipment. The method comprises the following steps: collecting synchronous phasor data frames monitored by a synchronous phasor measurement unit through a local phasor data concentrator; calculating an average amplitude deviation and a frequency deviation based on the synchronous phasor data frame at the current moment, calculating an interference counter based on the average amplitude deviation and the frequency deviation, and identifying an island and a fault based on the interference counter; if so, carrying out island alarm; and if the fault occurs, identifying a fault edge, and sending a tripping command to a relay for protecting the fault edge. The inventive method relies on an interference counter to detect persistent interference in the network and identify a fault edge. Through space-time analysis of voltage amplitude and frequency data, a fault is distinguished from a power grid disconnection event, so that a detection mechanism is more reliable.

Description

Technical Field

[0001] The present invention relates to a method, a device, a storage medium and a computing device for adaptive protection of an intelligent distribution network based on synchronous phasor data, and belongs to the technical field of power distribution protection. Background Art

[0002] Modern distribution networks have a large number of distributed generation (DG) units, which are also highly integrated in a sense. Centralized fault detectors use voltage phasors and frequency data to identify and isolate faults within a limited time, providing reliable network protection and improved situational awareness for smart distribution networks.

[0003] With high penetration of DG systems, distribution networks encounter several challenges in controlling and preventing unpredictable faults. When a fault occurs, the presence of multiple DG systems may cause serious problems such as short-circuit current variability, local relay failure during fault isolation, and subsequent islanding issues. If the network topology changes over time, such as connection / disconnection of DGs and loads, then conventional schemes may not be able to clear the fault within the critical isolation time. In this case, post-fault voltage / frequency stability cannot be achieved. Summary of the invention

[0004] The object of the present invention is to provide a method, device, storage medium and computing equipment for adaptive protection of an intelligent distribution network based on synchronous phasor data, which can automatically distinguish between an island and a fault according to the measured value and provide a correct protection plan.

[0005] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides a method for adaptive protection of a smart distribution network based on synchronized phasor data, comprising:

[0007] Collecting synchronized phasor data frames;

[0008] The average amplitude deviation and frequency deviation are calculated based on the synchronized phasor data frame at the current moment, and the interference counter is calculated based on the average amplitude deviation and frequency deviation as follows:

[0009] ;

[0010] ;

[0011] ;

[0012] in, , and The current moment defined Three interference counters, , and Indicates the last moment Interference counter, is the amplitude deviation threshold for centralized fault detection, and are the amplitude deviation and frequency deviation thresholds for island verification, For the current moment The average amplitude deviation, For the current moment The frequency deviation, is a sign function;

[0013] Based on the interference counter, islands and faults are identified; if it is an island, an island alarm is issued; if it is a fault, the fault edge is identified and a trip command is sent to a relay protecting the fault edge.

[0014] Preferably, the , and The initialization value is 0.

[0015] Preferably, the average amplitude deviation and frequency deviation are calculated as follows:

[0016] ;

[0017] ;

[0018] in, Represents the observation node At the present moment Phase The voltage amplitude, Represents the observation node Phase The nominal voltage amplitude, Indicates at the current moment From the observation node Frequency of reporting, is the nominal system frequency, the observation node represents the synchronized phasor measurement unit, Indicates the number of synchronized phasor measurement units.

[0019] Preferably, identifying islands and faults based on the interference counter includes:

[0020] If it meets the conditions of continuous overvoltage disturbance or continuous frequency disturbance, it is an island;

[0021] The continuous overvoltage disturbance is expressed as: ;

[0022] The continuous frequency disturbance is expressed as: ;

[0023] in, The number of frames transmitted per second for the synchronized phasor measurement unit, Indicates detection delay, Indicates the island tolerance time, Indicates island failure time / fault clearing time, Indicates the current time Frequency deviation range, Indicates the threshold of the frequency deviation range in island mode.

[0024] Preferably, identifying islands and faults based on the interference counter includes:

[0025] If it is identified as a single-phase fault, a two-phase fault, or a three-phase fault, it is a fault;

[0026] The single-phase fault is expressed as: ;

[0027] The two-phase fault is expressed as: ;

[0028] The three-phase fault is represented as: .

[0029] Preferably, the detection delay is expressed as:

[0030] ,

[0031] in, and denote the processing time of the synchronized phasor measurement unit and the phasor data concentrator, respectively. Represents the delay in the arrival of synchronized phasor data introduced by the data communication link.

[0032] Preferably, the frequency deviation range is expressed as:

[0033] ;

[0034] in, Represents a set of observation nodes.

[0035] Preferably, the fault edge is identified in the following manner:

[0036] ;

[0037] ;

[0038] in, represents the fault edge, is the detection index, indicating the moment when the fault is detected. Indicates at time Phase Zhongcong Flow to The normalized current size, and They represent the actual measured current and the expected current respectively.

[0039] In a second aspect, the present invention provides an adaptive protection device for an intelligent distribution network based on synchronized phasor data, which is used to implement the adaptive protection method for an intelligent distribution network based on synchronized phasor data, and the device comprises:

[0040] A data collection module, used for collecting synchronized phasor data frames;

[0041] The calculation module is used to calculate the average amplitude deviation and the frequency deviation based on the synchronized phasor data frame at the current moment, and calculate the interference counter based on the average amplitude deviation and the frequency deviation as follows:

[0042] ;

[0043] ;

[0044] ;

[0045] in, , and The current moment defined Three interference counters, , and Indicates the last moment Interference counter, is the amplitude deviation threshold for centralized fault detection, and are the amplitude deviation and frequency deviation thresholds for island verification, For the current moment The average amplitude deviation, For the current moment The frequency deviation, is a sign function;

[0046] The identification and protection module is used to identify islands and faults based on the interference counter; if it is an island, an island alarm is issued; if it is a fault, the fault edge is identified and a trip command is sent to the relay protecting the fault edge.

[0047] Preferably, the identification and protection module is specifically used to:

[0048] Identify islands and failures as follows:

[0049] If it meets the conditions of continuous overvoltage disturbance or continuous frequency disturbance, it is an island;

[0050] The continuous overvoltage disturbance is expressed as: ;

[0051] The continuous frequency disturbance is expressed as: ;

[0052] in, The number of frames transmitted per second for the synchronized phasor measurement unit, Indicates detection delay, Indicates the island tolerance time, Indicates island failure time / fault clearing time, Indicates the current time Frequency deviation range, Indicates the threshold value of the frequency deviation range in island mode;

[0053] If it is identified as a single-phase fault, a two-phase fault, or a three-phase fault, it is a fault;

[0054] The single-phase fault is expressed as: ;

[0055] The two-phase fault is expressed as: ;

[0056] The three-phase fault is represented as: .

[0057] In a third aspect, the present invention provides a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform any of the methods described above.

[0058] In a fourth aspect, the present invention provides a computing device comprising one or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing any of the methods described above.

[0059] The beneficial effects of the present invention are:

[0060] The present invention provides a distribution network adaptive protection method based on synchronous phasor data, which distinguishes faults from grid disconnection events through spatiotemporal analysis of voltage amplitude and frequency data, making the detection mechanism more reliable and ensuring that the detection time of line faults meets the stability time requirements under fault-triggered islanding conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A flow chart of an adaptive protection method for an intelligent distribution network based on synchronized phasor data provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments and the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0063] It should be emphasized here that the step marks mentioned below are not intended to limit the order of the steps, but it should be understood that the steps can be executed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be executed simultaneously.

[0064] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0065] The specific embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings. The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0066] Example 1

[0067] A synchronized phasor network consists of synchronized phasor measurement units (PMUs), phasor data concentrators (PDCs), and data communication links. Distributed PMUs extract phasors as well as system frequency and frequency rate of change in a synchronized manner. The local PDC collects synchronized phasor data frames and builds synchronized phasor data sets. If necessary, it can also archive, process the data set, and send it to other PDCs. In recent years, high-precision micro PMUs have been developed, which help to collect phasor data of distribution networks at a very low cost.

[0068] Assume that L PMUs are used to monitor a distribution network and the PMUs transmit In normal operation, the PMU network can be represented by an undirected graph Represents that the vertex set is , the edge point set is Each vertex Associated with PMU, each edge point represents a pair of consecutive observation nodes. By convention, the vertices Associated with the primary PCC. Without loss of generality, we assume that each pair of adjacent PMUs corresponds to two adjacent buses in the network.

[0069] When protection action is performed on the feeder, the network becomes a two-part circuit. The part of the network that remains connected to the utility grid continues to operate in the grid connection mode, which is represented by the sub-diagram The isolated components that can continue to operate in island mode are represented by subgraphs Indicates. Indicates a failed edge. When the edge endpoint moves to the set and By eliminating the edge To find two subgraphs and The same concept can be applied to DGs that connect networks, i.e. and They represent the DGs in the grid-connected subnet and the isolated subnet respectively.

[0070] Set variable and Represents the observation nodes At the point in time Phase In addition, suppose Indicates at a point in time From the observation node The secondary controller receives data from the Phasor Data Concentrator (PDC) and calculates the average magnitude and frequency deviation:

[0071] (1)

[0072] (2)

[0073] in Represents the observation node Phase The nominal voltage amplitude, is the nominal system frequency. Since all elements in the synchrophasor data set have the same measurement time, the secondary controller can calculate the instantaneous range of the frequency data as:

[0074] (3)

[0075] The present invention uses a secondary controller to receive data sets from the local PDC and protection messages from relays deployed within the network. The secondary controller adapts to potential faults by communicating with the relays and local controllers of the DG system. At the same time, the secondary controller processes the synchronized phasor data sets in real time to identify faults and coordinate control commands with upcoming protection actions.

[0076] In order for the secondary controller to distinguish between the two cases of fault and disconnection from the utility grid, the time parameters of the synchronized phasor data must be considered. It is well known that the system frequency is a global parameter of the distribution network. However, since the PMUs employ parameter estimators, there may be coupling between the phasor magnitude / angle and frequency data during transients and faults. In this case, if the line fault disturbs the phasor data, the frequency data will also be deviated. In addition, the frequency data reported by different PMUs can show different values. Strictly speaking, the secondary controller observes not only deviations in the magnitude data, but also inconsistent deviations in the frequency. Decisions based on the instantaneous value of the average frequency deviation may lead to false islanding alarms. Therefore, it is crucial to prevent false islanding alarms when line faults occur in the network.

[0077] Assume that at time When a permanent line fault occurs, a series of interference data will be generated, which will reach the secondary controller with a certain time delay. Assuming that there will be no loss (packet loss) in the data communication link, the first data set carrying the disturbance information will be less than or equal to Time delay to reach the secondary controller:

[0078] (4)

[0079] in and denote the synchronized phasor measurement unit (PMU) and phasor data concentrator (PDC) processing times, respectively. represents the delay in the arrival of the synchrophasor data introduced by the data communication link and is assumed to be constant during the detection interval. The secondary controller can use the timestamp provided in the synchrophasor packet to determine The value of is the maximum time required for the first data set carrying interference information to reach the secondary controller without packet loss. Therefore, assuming It is known to be reasonable. It should be noted that a fault may occur at any time between two consecutive reporting moments, so represents the maximum delay in reporting interference data. In this case, equation (4) expresses the worst case of detection delay from the perspective of centralized protection applications.

[0080] In fact, local protection devices may not be able to clear faults in time, especially when the high penetration of the DG system affects the short-circuit current. In this case, a centralized protection algorithm is needed to detect faults in the entire network. This embodiment 1 provides a centralized fault detection process based on a synchronized phasor data set, such as Figure 1 As shown, the details are as follows:

[0081] When k=0:

[0082] initialization: .

[0083] When k>0:

[0084] 1) Calculate the average amplitude deviation according to formula (1) and formula (2) and frequency deviation , and update the interference counter:

[0085] (5)

[0086] (6)

[0087] (7)

[0088] In the formula, , , is a disturbance counter, which is used to detect persistent disturbances in the network and identify the edge of failure, <0 is the amplitude deviation threshold for centralized fault detection, >0 is the amplitude of island verification, >0 is the frequency deviation threshold, is a sign function.

[0089] 2) Differentiate between island events and failures:

[0090] If any one of the conditions (CI) and (C-II) is met, enter the island alarm, otherwise go to step 3).

[0091] Condition (CI): Continuous overvoltage disturbance:

[0092] ;

[0093] Condition (C-II): Continuous frequency perturbation:

[0094] ;

[0095] In the formula, The island tolerance time refers to the time during which the power system can continue to operate stably in the island mode; The island failure time / fault clearing time refers to the maximum allowed time that the system can maintain stable operation after disconnection in island mode; yes The deviation range of the moment frequency parameters, is the frequency deviation range threshold in island mode.

[0096] 3) Detection fault:

[0097] When one of the conditions (C-III), (C-IV) and (CV) is met, the detection index is set to , which indicates and records the detection time point of the fault or islanding event, and proceeds to step 4). Otherwise, go to step 1), and the time point becomes ,

[0098] Condition (C-III): Single-phase fault:

[0099] ;

[0100] Condition (C-IV): Dual-phase fault:

[0101] ;

[0102] Conditions (CV): Three-phase fault:

[0103] .

[0104] 4) Identify the failure edge:

[0105] Identify the fault edge based on the value of the normalized fault current:

[0106] (8)

[0107] in The calculation of can refer to formula (9).

[0108] 5) Trigger auxiliary protection and control:

[0109] Towards the edge of protection The relay sends a trip command.

[0110] The algorithm proposed in this embodiment relies on the interference counter, namely , and , to detect persistent disturbances in the network and identify the edge of failure. In this algorithm, This is a setting value that indicates the frequency deviation range threshold in island mode. Indicates at a point in time Phase Zhongcong Flow to The island band is a predefined parameter that defines the normalized current magnitude of represents the upper bound of legal island events. The value of can be verified by comparing it with the island band persistence and consistent disturbances in the frequency data. The value of is calculated in real time based on the information received from the local relay and the nominal current magnitude of each edge:

[0111] (9)

[0112] in and They represent the actual measured current and the expected current respectively. Assume The value of is known a priori by the quadratic controller.

[0113] In the algorithm, and They represent the fault tolerance time and (possible) island fault tolerance time respectively. is the amplitude deviation threshold for centralized fault detection, and and They are the amplitude deviation and frequency deviation thresholds for island verification, respectively. In the hierarchical control framework, the secondary controller can monitor in real time whether the DG system is operating. This allows the secondary controller to adaptively determine the fault tolerance time based on the information of the load and the DG system. In this mechanism, the algorithm ensures reliable fault detection and meets the stability time requirements under fault-triggered island conditions.

[0114] Since the location and capacity of the DG system in the network are known, an offline simulation of the island can be used to obtain and threshold and The transients caused by switching actions, lightning, etc. may disturb the frequency data of some observation nodes. However, equations (1) and (2) offset the impact of such transients by balancing the disturbances on all observation nodes. Therefore, the network-wide transient is only affected when the duration is longer than the islanding fault tolerance time. The algorithm will trigger the island verification process only when

[0115] A very low resistance line fault causes a voltage drop that can be sensed by all PMUs deployed throughout the network. In general, the magnitude of the undervoltage may vary between observation nodes. However, the voltage drop appears as a deviation from the average magnitude. Therefore, if all DG systems are operating at their rated power, the undervoltage threshold can be determined based on the spatial average of the voltage drop. .

[0116] Step 2 of the algorithm performs islanding verification in case of possible overvoltage or frequency excursion. Condition (CI) verifies if a persistent overvoltage disturbance is observed in at least one phase, while other phases do not exhibit persistent undervoltage deviations. Condition (C-II) studies the spatiotemporal characteristics of the frequency data over the entire network domain. After the instant of an islanding event, the frequency data from all observation nodes on the network tend to deviate from the nominal frequency. This means that if an islanding event occurs, the range of the frequency data is confined to a small frequency band (the island band), while the average value of the deviation exceeds the frequency disturbance threshold. In addition, some faults may cause distortion in the reported frequency data, depending on the estimation method used by the PMU. When the islanding band is exceeded, the frequency disturbance is uncoordinated. In this case, step 3) of the algorithm verifies the occurrence of a fault.

[0117] In step 3) of the algorithm, a line fault is detected when at least one phase exhibits a persistent undervoltage disturbance while the other phases exhibit overvoltage. In step 4), the secondary controller first The associated local relay sends a request command to obtain the magnitude of the fault current (measured after the fault instant). Based on the received information, the fault edge is identified by finding the maximum sum of the normalized current magnitudes on the fault phases, as shown in equation (8). By using an algorithm, the centralized detector can distinguish between possible islanding events and faults and ensure that line faults are detected in a timely manner.

[0118] It should be noted that the local protection system usually takes several cycles to detect and isolate the line fault. If the local protection detects the fault in time, the secondary controller receives the object-oriented substation event (GOOSE) message from the local relay. Once the fault edge is known, it triggers Auxiliary control.

[0119] Example 2

[0120] Based on the same inventive concept as the above-mentioned embodiment 1, this embodiment 2 provides a distribution network adaptive protection device based on synchronized phasor data, the device comprising:

[0121] A data collection module, used for collecting synchronized phasor data frames;

[0122] The calculation module is used to calculate the average amplitude deviation and the frequency deviation based on the synchronized phasor data frame at the current moment, and calculate the interference counter based on the average amplitude deviation and the frequency deviation as follows:

[0123] ;

[0124] ;

[0125] ;

[0126] in, , and The current moment defined Three interference counters, , and Indicates the last moment Interference counter, is the amplitude deviation threshold for centralized fault detection, and are the amplitude deviation and frequency deviation thresholds for island verification, For the current moment The average amplitude deviation, For the current moment The frequency deviation, is a sign function;

[0127] The identification and protection module is used to identify islands and faults based on the interference counter; if it is an island, an island alarm is issued; if it is a fault, the fault edge is identified and a trip command is sent to the relay protecting the fault edge.

[0128] In one embodiment, the identification and protection module is specifically used to:

[0129] Identify islands and failures as follows:

[0130] If it meets the conditions of continuous overvoltage disturbance or continuous frequency disturbance, it is an island;

[0131] The continuous overvoltage disturbance is expressed as: ;

[0132] The continuous frequency disturbance is expressed as: ;

[0133] in, The number of frames transmitted per second for the synchronized phasor measurement unit, Indicates detection delay, Indicates the island tolerance time, Indicates island failure time / fault clearing time, Indicates the current time Frequency deviation range, Indicates the threshold value of the frequency deviation range in island mode;

[0134] If it is identified as a single-phase fault, a two-phase fault, or a three-phase fault, it is a fault;

[0135] The single-phase fault is expressed as: ;

[0136] The two-phase fault is expressed as: ;

[0137] The three-phase fault is represented as: .

[0138] The rest are the same as in Example 1.

[0139] It should be noted that the device embodiment corresponds to the above-mentioned method embodiment, and the implementation methods of the above-mentioned method embodiments are all applicable to the device embodiment and can achieve the same or similar technical effects, so they will not be repeated here.

[0140] Example 3

[0141] Based on the same inventive concept as Example 1, Example 3 of the present invention provides a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, and when the instructions are executed by a computing device, the computing device executes any method according to the above-mentioned Example 1.

[0142] Example 4

[0143] Based on the same inventive concept as Example 1, Example 4 of the present invention provides one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing any method according to the above-mentioned Example 1.

[0144] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0145] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0146] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0147] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0148] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A smart distribution network adaptive protection method based on synchronized phasor data, characterized in that: include: Collecting synchronized phasor data frames; The average amplitude deviation and frequency deviation are calculated based on the synchronized phasor data frame at the current moment, and the interference counter is calculated based on the average amplitude deviation and frequency deviation as follows: ； ； ； in, , and The current moment defined Three interference counters, , and Indicates the last moment Interference counter, is the amplitude deviation threshold for centralized fault detection, and are the amplitude deviation and frequency deviation thresholds for island verification, For the current moment The average amplitude deviation, For the current moment The frequency deviation, is a sign function; Based on the interference counter, islands and faults are identified; if it is an island, an island alarm is issued; if it is a fault, the fault edge is identified and a trip command is sent to a relay protecting the fault edge.

2. According to claim 1, a method for adaptive protection of intelligent distribution network based on synchronized phasor data is characterized in that: Said , and The initialization value is 0.

3. The method for adaptive protection of intelligent distribution network based on synchronized phasor data according to claim 1, characterized in that: The average amplitude deviation and frequency deviation are calculated as follows: ； ； in, Represents the observation node At the present moment Phase The voltage amplitude, Represents the observation node Phase The nominal voltage amplitude, Indicates at the current moment From the observation node Frequency of reporting, is the nominal system frequency, the observation node represents the synchronized phasor measurement unit, Indicates the number of synchronized phasor measurement units.

4. The method for adaptive protection of intelligent distribution network based on synchronized phasor data according to claim 3 is characterized in that: Identifying islands and faults based on the interference counters includes: If it meets the conditions of continuous overvoltage disturbance or continuous frequency disturbance, it is an island; The continuous overvoltage disturbance is expressed as: ; The continuous frequency disturbance is expressed as: ; in, The number of frames transmitted per second for the synchronized phasor measurement unit, Indicates detection delay, Indicates the island tolerance time, Indicates island failure time / fault clearing time, Indicates the current time Frequency deviation range, Indicates the threshold of the frequency deviation range in island mode.

5. The method for adaptive protection of intelligent distribution network based on synchronized phasor data according to claim 4 is characterized in that: Identifying islands and faults based on the interference counters includes: If it is identified as a single-phase fault, a two-phase fault, or a three-phase fault, it is a fault; The single-phase fault is expressed as: ; The two-phase fault is expressed as: ; The three-phase fault is expressed as: .

6. The method for adaptive protection of intelligent distribution network based on synchronized phasor data according to claim 5, characterized in that: The detection delay is expressed as: ， in, and denote the processing time of the synchronized phasor measurement unit and the phasor data concentrator, respectively. Represents the delay in the arrival of synchronized phasor data introduced by the data communication link.

7. The method for adaptive protection of intelligent distribution network based on synchronized phasor data according to claim 4, characterized in that: The deviation range of the frequency is expressed as: ； in, Represents a set of observation nodes.

8. The method for adaptive protection of intelligent distribution network based on synchronized phasor data according to claim 5, characterized in that: Identify the fault edge as follows: ； ； in, represents the fault edge, is the detection index, indicating the moment when the fault is detected. Indicates at time Phase Zhongcong Flow to The normalized current size, and They represent the actual measured current and the expected current respectively.

9. An adaptive protection device for intelligent distribution network based on synchronized phasor data, characterized in that: The device is used to implement the smart distribution network adaptive protection method based on synchronized phasor data according to any one of claims 1 to 8, comprising: A data collection module, used for collecting synchronized phasor data frames; The calculation module is used to calculate the average amplitude deviation and the frequency deviation based on the synchronized phasor data frame at the current moment, and calculate the interference counter based on the average amplitude deviation and the frequency deviation as follows: ； ； ； in, , and The current moment defined Three interference counters, , and Indicates the last moment Interference counter, is the amplitude deviation threshold for centralized fault detection, and are the amplitude deviation and frequency deviation thresholds for island verification, For the current moment The average amplitude deviation, For the current moment The frequency deviation, is a sign function; The identification and protection module is used to identify islands and faults based on the interference counter; if it is an island, an island alarm is issued; if it is a fault, the fault edge is identified and a trip command is sent to the relay protecting the fault edge.

10. The intelligent distribution network adaptive protection device based on synchronized phasor data according to claim 9, characterized in that: The identification and protection module is specifically used for: Identify islands and failures as follows: If it meets the conditions of continuous overvoltage disturbance or continuous frequency disturbance, it is an island; The continuous overvoltage disturbance is expressed as: ; The continuous frequency disturbance is expressed as: ; in, The number of frames transmitted per second for the synchronized phasor measurement unit, Indicates detection delay, Indicates the island tolerance time, Indicates island failure time / fault clearing time, Indicates the current time Frequency deviation range, Indicates the threshold value of the frequency deviation range in island mode; If it is identified as a single-phase fault, a two-phase fault, or a three-phase fault, it is a fault; The single-phase fault is expressed as: ; The two-phase fault is expressed as: ; The three-phase fault is expressed as: .

11. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions which, when executed by a computing device, cause the computing device to perform any one of the methods according to claims 1 to 8.

12. A computing device, characterized in that: include, One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing any one of the methods according to claims 1 to 8.

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