A portable management terminal for protection setting value verification

Abstract

The present invention discloses a portable management terminal for protection set value verification, which belongs to the technical field of protection set value verification, and comprises an area information module, a collection module and a verification module; the area information module is used for information management of a task area and establishing an equipment information map; the collection module is used for set value collection, identifying interface collection information corresponding to a detection device, and collecting operation set values ​​corresponding to each set value protection item according to the interface collection information; the verification module is used for set value verification, and obtaining each operation set value of the detection device; obtaining the standard set value corresponding to each operation set value according to the equipment information map and the detection device; verifying the corresponding operation set value according to the standard set value, and obtaining the verification result of each set value verification item of the detection device; marking the unit classification corresponding to the detection device as a unit inference class, and performing inference evaluation on each target device in the unit inference class based on the verification result of the detection device, and obtaining the inference evaluation result corresponding to the unit inference class.

Description

Technical Field

[0001] The invention belongs to the technical field of protection setting value verification, and in particular is a portable management terminal for protection setting value verification. Background Art

[0002] With the rapid development of power systems and the increasing complexity of power grid structures, the accuracy and reliability of the setting configuration of relay protection devices, as the first line of defense for the safe and stable operation of power grids, are particularly important. The rationality of the setting configuration is directly related to the correctness and speed of the protection action of the power grid under fault conditions, and has an important impact on the safety and stability of the power system.

[0003] However, in the current power system, the setting value verification work mainly relies on manual work, and there are the following prominent problems:

[0004] Inefficiency: The traditional setting value verification method requires on-site personnel to drive to the substation, print out the setting value sheet and check it item by item with the setting value in the protection device. This method is not only time-consuming and labor-intensive, but also inefficient. Especially in large power grids, there are many protection devices and complicated setting items, and the workload of manual verification is huge.

[0005] Error-prone: In the process of manually checking the set value, due to the influence of human factors (such as fatigue, lack of concentration, etc.), it is easy to make mistakes such as misreading and misjudgment, resulting in inaccurate set value verification results. This may not only affect the correct action of the protection device, but also pose a threat to the safe and stable operation of the power grid.

[0006] Inconvenient management: As a paper document, the value sheet has many inconveniences in storage, management and query. At the same time, the value sheet is easy to lose and damage, which brings additional difficulties to the value verification work.

[0007] Based on this, in order to solve the above problems, the present invention provides a portable management terminal for protection setting value verification. Summary of the invention

[0008] In order to solve the problems existing in the above-mentioned scheme, the present invention provides a portable management terminal for protection setting value verification.

[0009] The purpose of the present invention can be achieved through the following technical solutions:

[0010] A portable management terminal for protection setting value verification, comprising a regional information module, a collection module and a verification module;

[0011] The area information module is used to manage information of the task area and establish an equipment information map, which includes equipment information corresponding to each target device, interface acquisition information, and unit classification and standard set values ​​corresponding to each set value verification item.

[0012] Furthermore, the method for establishing the device information graph includes:

[0013] Identify each target device in the task area, obtain device information of each target device, the device information includes device type, model, environmental data, and fixed value verification items; identify the location of each target device, and generate a device information map according to the location and device information of each target device;

[0014] Based on the equipment information diagram, each target equipment is combined and classified to obtain each unit classification based on each fixed value verification item; the equipment information diagram is dynamically distinguished and marked according to each unit classification corresponding to each fixed value verification item;

[0015] Obtain a corresponding standard scheduling and setting value list, and mark the standard setting value of each setting value verification item of each target device in the device information diagram according to the standard scheduling and setting value list;

[0016] Obtain interface collection information of each target device, and mark the interface collection information of each target device accordingly in the device information diagram;

[0017] An information update template is set based on the device information graph, real-time data is collected according to the information update template, corresponding dynamic update data is obtained, and the device information graph is dynamically updated according to the dynamic update data.

[0018] Furthermore, the method for merging and classifying target devices based on the device information graph includes:

[0019] Step SA1: extracting features of each device information based on each fixed value verification item to obtain feature data of each verification item;

[0020] Step SA2: classify the feature data of each verification item according to each fixed value verification item to obtain a feature set corresponding to each fixed value verification item;

[0021] Step SA3: Consider the feature data of each verification item in the feature set as sample data; perform a combined evaluation on the sample data in the same feature set to obtain a combined evaluation result between the corresponding two sample data;

[0022] When the combined evaluation result is in compliance with the combined requirements, the corresponding two sample data are integrated into new sample data;

[0023] If the merge assessment result is that the merge requirements are not met, the corresponding merge will not be performed, and the two sample data that do not meet the merge requirements will be marked as non-compliant;

[0024] Step SA4: loop step SA3 until all sample data do not meet the merging requirements; merge the target devices corresponding to the sample data into one category, marked as unit classification.

[0025] Furthermore, the method for merging and evaluating the sample data in the same feature set includes:

[0026] A merger judgment model is established, and the expression of the merger judgment model is:

[0027]

[0028] Where: s is the input data, the input data is the two sample data for combined evaluation; the output data is the combined judgment value HY(s);

[0029] Analyze the corresponding two sample data through the combined judgment model to obtain a combined judgment value between the corresponding two sample data;

[0030] When the merger judgment value is 1, the merger assessment result meets the merger requirements;

[0031] When the merge judgment value is 0, the merge evaluation result is that the merge requirements are not met.

[0032] The acquisition module is used to perform fixed value acquisition, obtain a device information diagram, mark the target device for fixed value verification as a detection device, identify the interface acquisition information corresponding to the detection device, perform fixed value acquisition of each fixed value verification item of the detection device according to the interface acquisition information, and obtain the operating fixed value corresponding to each fixed value protection item of the detection device.

[0033] The verification module is used to perform fixed value verification, obtain various operating fixed values ​​of the detection equipment; obtain the equipment information diagram, and obtain the standard fixed values ​​corresponding to each operating fixed value according to the equipment information diagram and the detection equipment; verify the corresponding operating fixed value according to the standard fixed value, and obtain the verification results of each fixed value verification item of the detection equipment; and mark the verification results accordingly in the equipment information diagram;

[0034] The unit classification corresponding to the detection equipment is marked as a unit inference class, and each target equipment in the unit inference class is inferred and evaluated based on the verification result of the detection equipment to obtain the inference evaluation result corresponding to the unit inference class; the inference result is marked accordingly in the equipment information diagram.

[0035] Furthermore, the method for performing estimation and evaluation on each target device in the unit estimation class based on the verification result of the detection device includes:

[0036] Step SC1: Obtain historical record data corresponding to the detection device and mark it as a reference record; obtain the estimation record corresponding to each target device in the unit estimation class and the reference record;

[0037] Step SC2: determining the initial estimation result corresponding to the unit estimation class according to each reference record and the estimation record;

[0038] Step SC3: Identify the estimated target number and the unit detection completion number corresponding to the unit estimation class; determine the detection limit number according to the estimated target number and the estimated initial result;

[0039] When the number of completed unit tests is not less than the test limit number, the corresponding estimated initial result is marked as an estimated result for output;

[0040] When the number of completed unit detections is less than the detection limit number, it is prompted that the target equipment in the unit estimation class needs to be calibrated, and the process returns to step SC1.

[0041] Furthermore, the method for determining the presumed initial result includes:

[0042] Calculate the abnormal evaluation value between the reference record and each inferred record, identify the verification result corresponding to each reference record, and determine the reference probability of each verification result to the corresponding target device according to the abnormal evaluation value;

[0043] Based on the reference probability statistics of each target device for each calibration result, the corresponding probabilities of normal calibration and abnormal calibration are respectively calculated and integrated into the estimated initial result.

[0044] Furthermore, the calculation method of the abnormal evaluation value includes:

[0045] An abnormality recognition model is established. The expression of the abnormality recognition model is:

[0046]

[0047] Where: ct is the input data, the input data is the reference record and the estimated record of the corresponding time, t is the time; the output data is the abnormal time value YU(ct);

[0048] Through the analysis of the abnormal recognition model, the abnormal time value of each time is obtained;

[0049] Generate an abnormal curve according to each abnormal time value, fit the abnormal curve, obtain an abnormal function, and mark the abnormal function as YR(t);

[0050] According to the formula Calculate the corresponding abnormal evaluation value;

[0051] Where: PL is the abnormal assessment value; e is the natural constant.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] Through the mutual cooperation among the regional information module, the acquisition module and the verification module, the advanced communication technology and data processing technology are integrated to verify and uniformly manage the protection settings. It has the advantages of high efficiency, accuracy and portability, which can significantly improve the efficiency and accuracy of the setting verification work, reduce the errors of manual operation, and provide strong guarantee for the safe and stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0056] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] like Figure 1 As shown, a portable management terminal for protection setting value verification includes a regional information module, a collection module and a verification module;

[0058] The regional information module is used to manage information of the task area, which refers to the jurisdiction area responsible for protection setting verification; identify each target device in the task area, which is the power equipment that needs to be verified for protection setting, such as relay protection device; obtain the equipment information of each target device, which includes equipment type, model, environmental data, setting verification items and other information, and the environmental data is mainly data that has an impact on the protection setting of the target device, and data is collected specifically according to each influencing factor; the setting verification item is the data item on the target device that needs to be verified for protection setting, such as current, voltage, etc.; identify the location of each target device, and generate an equipment information map according to the location and equipment information of each target device;

[0059] Based on the equipment information diagram, each target equipment is combined and classified to obtain the classification of each unit based on each fixed value verification item;

[0060] The equipment information diagram is dynamically distinguished and marked according to the unit classifications corresponding to the fixed value verification items; for example, when testing or verifying a fixed value verification item, the corresponding positions of the unit classifications corresponding to the fixed value verification item are dynamically displayed, and the current unit class is highlighted; generally, dynamic display is performed based on existing artificial intelligence, and the fixed value verification items for testing or verification are intelligently identified, and then dynamic display is performed;

[0061] Obtain the corresponding standard scheduling value list, and dynamically update the standard value of each value verification item of each target equipment in the equipment information diagram according to the obtained standard scheduling value list;

[0062] Acquire the interface collection information of each target device in real time, such as communication protocol and interface standard, etc.; dynamically update the interface collection information of each target device in the device information diagram;

[0063] An information update template is set based on the equipment information diagram. The information update template is used to indicate which data needs to be collected to update the equipment information diagram in the future, such as standard scheduling setting list, equipment information, interface collection information, etc.; real-time data collection is performed according to the information update template to obtain the corresponding dynamic update data, and the equipment information diagram is dynamically updated according to the dynamic update data.

[0064] The method for merging and classifying target devices based on the device information graph includes:

[0065] Step SA1: extracting features of each device information based on each fixed value check item, that is, extracting feature data related to the fixed value check item in the device information, such as device type, model, environmental data affecting the fixed value check item, etc., to obtain feature data of each check item;

[0066] Step SA2: Classify the feature data of each verification item according to each fixed value verification item, and obtain a feature set corresponding to each fixed value verification item, wherein the feature set is composed of the corresponding feature data of each verification item;

[0067] Step SA3: Consider the feature data of each verification item in the feature set as sample data; perform a combined evaluation on the sample data in the same feature set to obtain a combined evaluation result between the corresponding two sample data;

[0068] When the combined evaluation result is that the combined requirements are met, the corresponding two sample data are combined into new sample data, that is, the new sample data includes each sample data before the combination;

[0069] When the merge evaluation result is that the merge requirements are not met, the corresponding merge will not be performed, and corresponding marking will be performed. The sample data including the marking will not need to be merged and evaluated subsequently, thereby reducing unnecessary data processing.

[0070] For the assessment of whether the requirements for merging are met, the judgment is made based on whether the sample data can be considered the same. Being considered the same means that the equipment type, model, etc. are directly the same, and the impact of the environmental data is the same. Whether the impact of the environmental data is the same can be determined based on a large amount of historical related data to understand whether the impact of environmental data with certain differences on the protection setting is the same. Specifically, a merger judgment model can be established. The merger judgment model is used to determine whether the compared sample data can be considered the same. If they meet the requirements for being considered the same, it is defined as meeting the requirements for being considered the same. The expression of the merger judgment model is: Where: s is the input data, the input data is the two sample data for combined evaluation; the output data is the combined judgment value HY(s);

[0071] Analyze the corresponding two sample data through the combined judgment model to obtain a combined judgment value between the corresponding two sample data;

[0072] When the merger judgment value is 1, the merger assessment result meets the merger requirements;

[0073] When the merge judgment value is 0, the merge evaluation result is that the merge requirements are not met.

[0074] Step SA4: loop step SA3 until all sample data do not meet the merging requirements; merge the target devices corresponding to the sample data into one category, marked as unit classification.

[0075] The acquisition module is used to perform fixed value acquisition, obtain a device information diagram, mark the target device for fixed value verification as a detection device, identify the interface acquisition information corresponding to the detection device, perform fixed value acquisition of each fixed value verification item of the detection device according to the interface acquisition information, and obtain the operating fixed value corresponding to each fixed value protection item of the detection device.

[0076] The verification module is used to perform fixed value verification, obtain various operating fixed values ​​of the detection equipment; obtain the equipment information diagram, and obtain the standard fixed values ​​corresponding to each operating fixed value according to the equipment information diagram and the detection equipment; verify the corresponding operating fixed value according to the standard fixed value, and obtain the verification results of each fixed value verification item of the detection equipment; and display the obtained verification results in the equipment information diagram accordingly;

[0077] The unit classification corresponding to the detection equipment is marked as a unit inference class, and based on the verification result of the detection equipment, each target equipment corresponding to the unit inference class is inferred and evaluated to obtain the inferred evaluation result corresponding to the unit inference class; the obtained inference result is marked accordingly in the equipment information diagram.

[0078] The method for performing presumption evaluation on each target device in the unit presumption class based on the verification result of the detection equipment includes:

[0079] Step SC1: Obtain the historical record data corresponding to the detection equipment, that is, the equipment operation record within a period of time including the current time, and mark it as a reference record;

[0080] Obtain the historical record data of the corresponding time of each target device in the unit estimation class and the reference record, and mark it as an estimated record;

[0081] Step SC2: determining the initial estimation result corresponding to the unit estimation class according to each reference record and the estimation record;

[0082] Step SC3: Identify the number of target devices in the unit estimation class, mark it as the estimated target number, identify the number of detection devices in the unit estimation class, mark it as the unit detection completion number; determine the detection limit number according to the estimated target number and the estimated initial result;

[0083] When the number of completed unit tests is not less than the test limit, the corresponding initial results of the presumption are marked as presumption results for output; that is, the minimum requirement is met. According to the actual situation, the staff can also conduct fixed value verification of other target equipment in the unit presumption category, or all verification is also acceptable; the main user can quickly obtain the corresponding situation when all verification is not required;

[0084] When the number of completed unit detections is less than the detection limit number, it is prompted that the target equipment in the unit inference class needs to be calibrated with fixed values, that is, other target equipment in the unit inference class also needs to be calibrated with fixed values. Generally, the larger abnormal evaluation value calculated as follows is calibrated; and return to step SC1.

[0085] Methods for determining presumed initial results include:

[0086] Calculate the abnormal evaluation value between the reference record and each presumed record, that is, analyze whether the reference record and the presumed record are in an abnormal state. If they are both in the normal working range or the abnormal working range from the perspective of the protection setting impact, they are considered normal, and different working states are considered abnormal. Specifically, a corresponding abnormality recognition model is established based on a large amount of historical record data. The abnormality recognition model is used to determine whether the record data corresponding to the corresponding time is abnormal. The expression of the abnormality recognition model is: In the formula: ct is the input data, the input data is the reference record and the estimated record of the corresponding time, t is the time; the output data is the abnormal time value YU(ct); the abnormal time value of each time is obtained by analyzing the abnormal recognition model; the abnormal curve is generated according to each abnormal time value, the abnormal curve is fitted, the abnormal function is obtained, and the abnormal function is marked as YR(t); according to the formula Calculate the corresponding abnormal evaluation value; where: PL is the abnormal evaluation value; e is the natural constant.

[0087] Identify the calibration results corresponding to each reference record, and determine the reference probability of each calibration result to the corresponding target device according to the abnormal evaluation value. Since the value range of the abnormal evaluation value is fixed, it is compared and converted with 0 to 100%, such as the middle value of the value range is 50%;

[0088] Because the calibration results only have two results: normal calibration and abnormal calibration, the probabilities corresponding to normal calibration and abnormal calibration can be statistically calculated based on the reference probability of each target device for each calibration result, and integrated into the estimated initial result.

[0089] Methods for determining the limit of detection number based on the putative target number and the putative initial result include:

[0090] The minimum calibration ratio is preset, and the minimum calibration quantity is determined based on the minimum calibration ratio and the estimated target number. When the number of completed unit tests is less than the minimum calibration number, the minimum calibration number is the detection limit number;

[0091] When the number of completed unit tests is equal to the minimum calibration number, the verification result with the highest probability of occurrence in the estimated initial results is identified. When the probability of occurrence is greater than the threshold value X1, the detection limit number remains unchanged and is still the minimum calibration number. When the probability of occurrence is not greater than the threshold value X1, one is added to the original detection limit number until it is equal to the estimated target number.

[0092] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0093] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A portable management terminal for protection setting value verification, characterized in that: It includes regional information module, acquisition module and verification module; The area information module is used to manage information of the task area and establish an equipment information map, which includes equipment information corresponding to each target device, interface acquisition information, and unit classification and standard value corresponding to each fixed value verification item; The acquisition module is used to perform fixed value acquisition, obtain the device information map, mark the target device for fixed value verification as the detection device, identify the interface acquisition information corresponding to the detection device, perform fixed value acquisition of each fixed value verification item of the detection device according to the interface acquisition information, and obtain the operating fixed value corresponding to each fixed value protection item of the detection device; The verification module is used to perform fixed value verification, obtain various operating fixed values ​​of the detection equipment; obtain the equipment information diagram, and obtain the standard fixed values ​​corresponding to each operating fixed value according to the equipment information diagram and the detection equipment; verify the corresponding operating fixed value according to the standard fixed value, and obtain the verification results of each fixed value verification item of the detection equipment; Marking the verification results accordingly in the equipment information diagram; The unit classification corresponding to the detection equipment is marked as a unit inference class, and each target equipment in the unit inference class is inferred and evaluated based on the verification result of the detection equipment to obtain the inference evaluation result corresponding to the unit inference class; the inference result is marked accordingly in the equipment information diagram.

2. A portable management terminal for protection setting value verification according to claim 1, characterized in that: The method for establishing the equipment information graph includes: Identify each target device in the task area, obtain device information of each target device, the device information includes device type, model, environmental data, and fixed value verification items; identify the location of each target device, and generate a device information map according to the location and device information of each target device; Based on the equipment information diagram, each target equipment is combined and classified to obtain each unit classification based on each fixed value verification item; the equipment information diagram is dynamically distinguished and marked according to each unit classification corresponding to each fixed value verification item; Obtain a corresponding standard scheduling and setting value list, and mark the standard setting value of each setting value verification item of each target device in the device information diagram according to the standard scheduling and setting value list; Obtain interface collection information of each target device, and mark the interface collection information of each target device accordingly in the device information diagram; An information update template is set based on the device information graph, real-time data is collected according to the information update template, corresponding dynamic update data is obtained, and the device information graph is dynamically updated according to the dynamic update data.

3. A portable management terminal for protection setting value verification according to claim 2, characterized in that: The method for merging and classifying target devices based on the device information graph includes: Step SA1: extracting features of each device information based on each fixed value verification item to obtain feature data of each verification item; Step SA2: classify the feature data of each verification item according to each fixed value verification item to obtain a feature set corresponding to each fixed value verification item; Step SA3: Consider the feature data of each verification item in the feature set as sample data; perform a combined evaluation on the sample data in the same feature set to obtain a combined evaluation result between the corresponding two sample data; When the combined evaluation result is in compliance with the combined requirements, the corresponding two sample data are integrated into new sample data; If the merge assessment result is that the merge requirements are not met, the corresponding merge will not be performed, and the two sample data that do not meet the merge requirements will be marked as non-compliant; Step SA4: loop step SA3 until all sample data do not meet the merging requirements; merge the target devices corresponding to the sample data into one category, marked as unit classification.

4. A portable management terminal for protection setting value verification according to claim 3, characterized in that: Methods for merging and evaluating sample data within the same feature set include: A merger judgment model is established, and the expression of the merger judgment model is: Where: s is the input data, the input data is the two sample data for combined evaluation; the output data is the combined judgment value HY(s); Analyze the corresponding two sample data through the combined judgment model to obtain a combined judgment value between the corresponding two sample data; When the merger judgment value is 1, the merger assessment result meets the merger requirements; When the merge judgment value is 0, the merge evaluation result is that the merge requirements are not met.

5. A portable management terminal for protection setting value verification according to claim 1, characterized in that: The method for performing presumption evaluation on each target device in the unit presumption class based on the verification result of the detection equipment includes: Step SC1: Obtain historical record data corresponding to the detection device and mark it as a reference record; obtain the estimation record corresponding to each target device in the unit estimation class and the reference record; Step SC2: determining the initial estimation result corresponding to the unit estimation class according to each reference record and the estimation record; Step SC3: Identify the estimated target number and the unit detection completion number corresponding to the unit estimation class; determine the detection limit number according to the estimated target number and the estimated initial result; When the number of completed unit tests is not less than the test limit number, the corresponding estimated initial result is marked as an estimated result for output; When the number of completed unit detections is less than the detection limit number, it is prompted that the target equipment in the unit estimation class needs to be calibrated, and the process returns to step SC1.

6. A portable management terminal for protection setting value verification according to claim 5, characterized in that: Methods for determining presumed initial results include: Calculate the abnormal evaluation value between the reference record and each inferred record, identify the verification result corresponding to each reference record, and determine the reference probability of each verification result to the corresponding target device according to the abnormal evaluation value; Based on the reference probability statistics of each target device for each calibration result, the corresponding probabilities of normal calibration and abnormal calibration are respectively calculated and integrated into the estimated initial result.

7. A portable management terminal for protection setting value verification according to claim 6, characterized in that: The calculation method of abnormal assessment value includes: An abnormality recognition model is established. The expression of the abnormality recognition model is: Where: ct is the input data, the input data is the reference record and the estimated record of the corresponding time, t is the time; the output data is the abnormal time value YU(ct); Through the analysis of the abnormal recognition model, the abnormal time value of each time is obtained; Generate an abnormal curve according to each abnormal time value, fit the abnormal curve, obtain an abnormal function, and mark the abnormal function as YR(t); According to the formula Calculate the corresponding abnormal evaluation value; Where: PL is the abnormal assessment value; e is the natural constant.

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