A microcomputer protection and measurement and control method and device

Abstract

The present invention relates to the technical field of microcomputer protection, and specifically to a microcomputer protection measurement and control method and device. The microcomputer protection measurement and control device includes a sampling module, a calibration module, and an optimization and adjustment module. By obtaining the sampling records of the supervised area, the present invention analyzes the sampling records that have recently shown abnormalities or faults, forms a set of data groups with the numerical values of the time difference between a certain sampling record and the time corresponding to this sampling record, calculates the K value of each data group and the average value of the K values of all data groups, as well as the recovery duration corresponding to the target record, calculates the fault index of the supervised area, and based on the analysis of the K value of the data group and the fault index, outputs an optimization instruction on whether to adjust the sampling frequency of the supervised area at the current time node, realizing intelligent management, determining that the sampling frequency can be adjusted at an appropriate time node, and avoiding the occurrence of data distortion or data processing delay.

Description

Technical Field

[0001] The present invention relates to the technical field of microcomputer protection, and specifically to a microcomputer protection measurement and control method and device. Background Art

[0002] Microcomputer protection devices are widely used in power systems. They are an important part of modern automation and one of the important devices to ensure the safe operation of power systems. Microcomputer protection devices collect electrical quantities such as voltage, current, and frequency from primary equipment through secondary circuits, calculate protection logic based on the electrical quantities, and when the protection logic is satisfied, the microcomputer protection device will disconnect the corresponding circuit breaker to eliminate the fault source of the primary electrical equipment and ensure the normal operation of the primary equipment. The microcomputer protection device is connected to the primary-secondary conversion port through a data communication interface, and the secondary port is then connected to the primary equipment through a secondary circuit. During the operation of the primary equipment, the microcomputer protection device normally receives data such as voltage and current, and after passing through the data acquisition module and operation processing logic, a protection action is generated.

[0003] During the sampling process of microcomputer protection devices, in addition to the selection of sampling methods, attention also needs to be paid to the setting of sampling frequencies. Too high or too low sampling frequencies may lead to problems such as data distortion or the CPU being unable to handle it. Therefore, in practical applications, it is necessary to select appropriate sampling methods and sampling frequencies according to the actual situation of the system and sampling requirements, and how to adjust the sampling frequency at appropriate time nodes is also an issue to be solved. Summary of the Invention

[0004] The purpose of the present invention is to provide a microcomputer protection measurement and control method and device to solve the problems raised in the prior art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A microcomputer protection measurement and control method, the microcomputer protection measurement and control method includes the following steps:

[0006] Step S1: Divide the power equipment into regions, divide each power equipment belonging to the same circuit into the same supervision area, and set sensors, where the sensors are used to sample the power parameters of the supervision area;

[0007] Step S2: Set an initial sampling frequency, where the sampling frequency is the number of times of collecting power parameters within a certain period of time, sample the supervision area, and input the sampled power parameters into the built-in logic algorithm to judge the state information of the power system in the supervision area;

[0008] Step S3: Mark the supervision area currently being sampled as the current supervision area, obtain the sampling record of the current supervision area, sort out the sampling record, construct a frequency optimization model, and analyze the node for optimizing and adjusting the sampling frequency of the current supervision area according to the frequency optimization model.

[0009] Further, the step S1 includes: obtaining the connection circuit diagram of the electrical equipment in the primary circuit, dividing the area according to the circuit connection mode of the circuit equipment, and dividing the primary circuit into a power generation main circuit, a power transmission main circuit, a power distribution main circuit, and an electrical main circuit.

[0010] Further, the step S2 includes: inputting the power parameters to be collected, where the power parameters include current and voltage;

[0011] Selecting the sampling method for collecting power parameters, where the sampling methods include the DC sampling method and the AC sampling method; among them, the DC sampling method is to sample after converting the AC signal into a DC signal through a rectifying circuit; the AC sampling method is to sample the instantaneous value of the measured signal according to a set time rule and perform numerical processing on it using a set algorithm to obtain the sampling value;

[0012] Setting the initial sampling frequency for each supervision area, sampling the power parameters of each supervision area, and preprocessing the sampled power parameters, where the preprocessing includes filtering and denoising;

[0013] Converting the analog signal of the power parameter into a digital signal and inputting it into the built-in logic algorithm. The built-in logic algorithm performs logical judgment on the input digital signal through preset algorithms and conditions and outputs the corresponding judgment result. According to the judgment result, the state information of the power system is output, where the state information includes normal, abnormal, or faulty.

[0014] Further, the step S3 includes:

[0015] Step S301: Obtaining the sampling records of the current supervision area, where one sampling record is to sample the power parameters of the current supervision area once and mark the corresponding state information of the power system to form a sampling set;

[0016] Step S302: Obtaining the sampling records corresponding to the abnormal or faulty state of the power system in the sampling set, marking them as target records, and sorting the target records according to the sampling order;

[0017] Marking a certain target record as the current analysis record, and obtaining the numerical value of the time difference between the current analysis record and the previous target record as t m and obtaining the data group [A m , t m , where Am represents the mth sampling record;

[0018] Establish a coordinate system, where the number of sampling records is used as the abscissa and the time difference is used as the ordinate. Mark the data groups on the coordinate system and calculate the K value of the m-th data group. The calculation formula is K m = (t m - t m-1 ) / (A m - A m-1 ). Use the average formula to calculate the average value of the K values of all data groups, denoted as K Q ;

[0019] Step S303: Obtain the next sampling record adjacent to the target record within the set time. If the state of the power system in the next sampling record is normal, then eliminate this target record, and obtain the recovery duration corresponding to the remaining target records. The recovery duration is the time when the state of the power system changes from abnormal or faulty to normal. The value of the recovery duration is denoted as T. Extract all the recovery durations into set B, where set B = {T1, T2, T3,..., Tj}, and T1, T2, T3,..., Tj represent the values of the recovery durations of the 1st target record, the 2nd target record, the 3rd target record,..., the j-th target record, respectively;

[0020] Calculate the fault index ε of this supervision area. The calculation formula is ε = ∑(Tj) * Q + b, where Q is the total number of items with target records and b is a constant;

[0021] Step S304: Construct a frequency optimization model, W = β1 * ε + β2 * K Q . When W > W1 or W < W2, output an optimization instruction to adjust the sampling frequency of the supervision area at the current time node, where both W1 and W2 are set thresholds.

[0022] A microcomputer protection and measurement control device applies a microcomputer protection and measurement control method. The microcomputer protection and measurement control device includes a sampling module, a calibration module, and an optimization and adjustment module;

[0023] The sampling module is used to sample the power parameters of each supervision area according to the set initial sampling frequency;

[0024] The calibration module is used to input the sampled power parameters into the built-in logic algorithm to judge the state information of the power system in the supervision area;

[0025] The optimization and adjustment module is used to sort out the sampling records of the supervision area, construct a frequency optimization model, and analyze the nodes for optimizing and adjusting the sampling frequency of the current supervision area according to the frequency optimization model;

[0026] The output end of the sampling module is electrically connected to the input end of the calibration module, and the output end of the optimization and adjustment module is electrically connected to the input end of the sampling module.

[0027] Further, the sampling module includes a region division unit, a collection unit, and a setting unit; the region division unit is used to obtain the connection circuit diagram of the electrical equipment in the primary circuit, divide the regions according to the circuit connection mode of the circuit equipment, and divide the primary circuit into a power generation main circuit, a power transmission main circuit, a power distribution main circuit, and an electrical main circuit;

[0028] The collection unit is used to sample the power parameters of each supervision region, preprocess the sampled power parameters, and convert the analog signal of the power parameters into a digital signal;

[0029] The setting unit is used to set the initial sampling frequency of each supervision region and select the sampling method for collecting power parameters;

[0030] The output ends of the region division unit and the setting unit are electrically connected to the input end of the collection unit.

[0031] Further, the calibration module includes a logic judgment unit and a protection action unit. The logic judgment unit is used to perform a logic judgment on the input digital signal through a built-in logic algorithm and output a corresponding judgment result;

[0032] The protection action unit outputs the state information of the power system according to the judgment result. The state information includes normal, abnormal, or faulty, and at the same time makes corresponding protection actions;

[0033] The output end of the logic judgment unit is electrically connected to the input end of the protection action unit.

[0034] Further, the optimization and adjustment module includes a trend analysis unit, a cycle analysis unit, and an output unit;

[0035] The trend analysis unit is used to obtain the numerical value of the time difference between the current analysis record and the previous target record, form a data group with a certain sampling record and the numerical value of the time difference corresponding to this sampling record, and calculate the K value of each data group and the average value of the K values of all data groups;

[0036] The cycle analysis unit is used for the recovery duration corresponding to the target record. The recovery duration is the time when the state of the power system changes from abnormal or faulty to normal, and calculates the fault index of the supervision region;

[0037] The output unit outputs an optimization instruction on whether to adjust the sampling frequency of the supervision region at the current time node according to the analysis of the K value of the data group and the fault index;

[0038] The output ends of the trend analysis unit and the cycle analysis unit are electrically connected to the input end of the output unit.

[0039] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0040] 1. By obtaining the sampling records of the supervised area, the present invention analyzes the sampling records with recent anomalies or faults, forms a set of data groups with the numerical values of the time difference between a certain sampling record and the time corresponding to this sampling record, calculates the K value of each data group and the average value of the K values of all data groups, as well as the recovery duration corresponding to the target record, calculates the fault index of the supervised area, and based on the analysis of the K value of the data group and the fault index, outputs an optimization instruction on whether to adjust the sampling frequency of the supervised area at the current time node, realizing intelligent management, determining that the sampling frequency can be adjusted at an appropriate time node, and avoiding data distortion or data processing delay. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a schematic flowchart of a microcomputer protection and measurement control method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. 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.

[0043] Embodiment 1: As Figure 1 shown, the present invention provides a microcomputer protection and measurement control method, and the microcomputer protection and measurement control method includes the following steps:

[0044] Step S1: Divide the power equipment into regions, divide each power equipment belonging to the same circuit into the same supervised area, and set sensors, where the sensors are used to sample the power parameters of the supervised area;

[0045] The step S1 includes: obtaining the connection circuit diagram of the electrical equipment in the primary circuit, dividing the regions according to the circuit connection mode of the circuit equipment, and dividing the primary circuit into a power generation main circuit, a power transmission main circuit, a power distribution main circuit, and an electrical main circuit.

[0046] Step S2: Set an initial sampling frequency, where the sampling frequency is the number of times of collecting power parameters within a certain period of time, sample the supervised area, and input the sampled power parameters into the built-in logic algorithm to judge the state information of the power system in the supervised area;

[0047] Step S2 includes: inputting power parameters to be collected, where the power parameters include current and voltage;

[0048] selecting a sampling method for collecting power parameters, where the sampling methods include DC sampling method and AC sampling method; among them, the DC sampling method is to convert the AC signal into a DC signal through a rectifying circuit and then perform sampling; the AC sampling method is to sample the instantaneous value of the measured signal according to a set time law and perform numerical processing on it using a set algorithm to obtain the sampling value;

[0049] setting the initial sampling frequency for each supervision area, sampling the power parameters of each supervision area, and preprocessing the sampled power parameters, where the preprocessing includes filtering and denoising;

[0050] converting the analog signal of the power parameter into a digital signal and inputting it into the built-in logic algorithm. The built-in logic algorithm makes a logical judgment on the input digital signal through preset algorithms and conditions and outputs the corresponding judgment result. According to the judgment result, the state information of the power system is output, where the state information includes normal, abnormal or faulty.

[0051] Step S3: Mark the supervision area where sampling is in progress as the current supervision area, obtain the sampling records of the current supervision area, sort out the sampling records, build a frequency optimization model, and analyze the nodes for optimizing and adjusting the sampling frequency of the current supervision area according to the frequency optimization model. The step S3 includes:

[0052] Step S301: Obtain the sampling records of the current supervision area. One sampling record is to sample the power parameters of the current supervision area and mark the state information of the corresponding power system to form a sampling set;

[0053] Step S302: Obtain the sampling records corresponding to the abnormal or faulty state of the power system in the sampling set, mark them as target records, and sort the target records according to the sampling order;

[0054] Mark a certain target record as the current analysis record, and obtain the numerical value of the time difference between the current analysis record and the previous target record and denote it as t m , obtain the data group [A m , t m , where Am represents the mth sampling record;

[0055] Establish a coordinate system, where the number of sampling records is used as the abscissa and the time difference is used as the ordinate, mark the data group on the coordinate system, and calculate the K value of the mth data group. The calculation formula is K m = (t m - tm-1 ) / (A m -A m-1 ) and calculate the average value of the K values of all groups of data as K Q ;

[0056] Step S303: Obtain the next adjacent sampling record of the target record within a set time. If the state of the power system in the next sampling record is normal, then eliminate this target record, obtain the recovery duration corresponding to the remaining target records. The recovery duration is the time when the state of the power system changes from abnormal or faulty to normal. Denote the value of the recovery duration as T, extract all the recovery durations into set B, where set B = {T1, T2, T3,......, Tj}, and T1, T2, T3,......, Tj respectively represent the value of the recovery duration of the first target record, the value of the recovery duration of the second target record, the value of the recovery duration of the third target record,......, the value of the recovery duration of the jth target record;

[0057] Calculate the fault index ε of this supervision area, and its calculation formula is ε = ∑(Tj) * Q + b, where Q is the total number of items with target records and b is a constant;

[0058] Step S304: Construct a frequency optimization model, W = β1 * ε + β2 * K Q , when W > W1 or W < W2, output an optimization instruction to adjust the sampling frequency of the supervision area at the current time node, where both W1 and W2 are set thresholds.

[0059] Embodiment 2: A microcomputer protection and measurement control device is applied to a microcomputer protection and measurement control method. The microcomputer protection and measurement control device includes a sampling module, a calibration module, and an optimization and adjustment module; the output end of the sampling module is electrically connected to the input end of the calibration module, and the output end of the optimization and adjustment module is electrically connected to the input end of the sampling module.

[0060] The sampling module is used to sample the power parameters of each supervision area according to the set initial sampling frequency.

[0061] The sampling module includes a region division unit, a collection unit, and a setting unit; the region division unit is used to obtain the connection circuit diagram of the electrical equipment in the primary circuit, perform region division according to the circuit connection mode of the circuit equipment, and divide the primary circuit into a power generation main circuit, a power transmission main circuit, a power distribution main circuit, and an electrical main circuit;

[0062] The collection unit is used to sample the power parameters of each supervision area and preprocess the sampled power parameters, converting the analog signal of the power parameters into a digital signal;

[0063] The setting unit is used to set the initial sampling frequency of each supervision area and select the sampling method for collecting power parameters;

[0064] The output ends of the area division unit and the setting unit are electrically connected to the input end of the collection unit.

[0065] The calibration module is used to input the sampled power parameters into the built-in logic algorithm to judge the state information of the power system in the supervision area;

[0066] The calibration module includes a logic judgment unit and a protection action unit. The logic judgment unit is used to perform logic judgment on the input digital signal through the built-in logic algorithm and output the corresponding judgment result;

[0067] The protection action unit outputs the state information of the power system according to the judgment result. The state information includes normal, abnormal or faulty, and at the same time makes corresponding protection actions;

[0068] The output end of the logic judgment unit is electrically connected to the input end of the protection action unit.

[0069] The optimization and adjustment module is used to sort out the sampling records of the supervision area, construct a frequency optimization model, and analyze the nodes for optimizing and adjusting the sampling frequency of the current supervision area according to the frequency optimization model.

[0070] The optimization and adjustment module includes a trend analysis unit, a period analysis unit and an output unit;

[0071] The trend analysis unit is used to obtain the numerical value of the time difference between the current analysis record and the previous target record, form a data group with a certain sampling record and the numerical value of the time difference corresponding to the sampling record, and calculate the K value of each data group and the average value of the K values of all data groups;

[0072] The period analysis unit is used for the recovery duration corresponding to the target record. The recovery duration is the time when the state of the power system changes from abnormal or faulty to normal, and calculates the fault index of the supervision area;

[0073] The output unit outputs an optimization instruction on whether to adjust the sampling frequency of the supervision area at the current time node according to the analysis of the K value of the data group and the fault index;

[0074] The output ends of the trend analysis unit and the period analysis unit are electrically connected to the input end of the output unit.

[0075] It is obvious to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claims concerned.

Claims

1. A microcomputer protection measurement and control method, characterized in that: The microcomputer protection measurement and control method comprises the following steps: Step S1, dividing the power equipment into regions, dividing the power equipment belonging to the same circuit into the same supervision area, and setting sensors, wherein the sensors are used to sample power parameters of the supervision area; Step S2, setting an initial sampling frequency, where the sampling frequency is the number of times the power parameters are collected within a certain period of time, sampling the supervision area, and inputting the sampled power parameters into a built-in logic algorithm to determine the status information of the power system in the supervision area; Step S3: Mark the regulatory area being sampled as the current regulatory area, obtain sampling records of the current regulatory area, sort out the sampling records, build a frequency optimization model, and analyze the nodes for optimizing and adjusting the sampling frequency of the current regulatory area according to the frequency optimization model; The step S3 comprises: Step S301: Acquire sampling records of the current regulatory area, wherein one sampling record is a sampling of the power parameters of the current regulatory area, and marks the state information of the corresponding power system to form a sampling set; Step S302: Acquire sampling records corresponding to abnormal or faulty power system status in the sampling set, mark them as target records, and sort the target records according to the sampling order; Mark a target record as the current analysis record, and obtain the time difference between the current analysis record and the previous target record as t m , get the data set [A m , t m ], where Am represents the mth sampling record; Establish a coordinate system, with the number of sampling records as the horizontal axis and the time difference as the vertical axis, mark the data group on the coordinate system, and calculate the K value of the mth data group. The calculation formula is K m =(t m -t m-1 ) / (A m -A m-1 ), use the average formula to calculate the average value of K values ​​of all groups of data and record it as K Q ; Step S303, obtaining the next sampling record adjacent to the target record within the set time, if the state of the power system in the next sampling record is normal, then the target record of this time is removed, and the recovery time corresponding to the remaining target records is obtained, the recovery time is the time when the state of the power system is converted from abnormal or faulty to normal, the value of the recovery time is recorded as T, and all the recovery time is extracted into a set B, the set B={T1, T2, T3, ..., Tj}, wherein T1, T2, T3, ..., Tj are respectively represented as the value of the recovery time of the first target record, the value of the recovery time of the second target record, the value of the recovery time of the third target record, ..., the value of the recovery time of the jth target record; Calculate the fault index ε of the supervision area, which is calculated by the formula ε=∑(Tj)*Q+b, where Q is the total number of target records and b is a constant; Step S304: construct a frequency optimization model, W=β1*ε+β2*K Q , when W>W1, or W<W2, output the optimization instruction for adjusting the sampling frequency of the supervision area at the current time node, where W1 and W2 are both set thresholds.

2. A microcomputer protection measurement and control method according to claim 1, characterized in that: The step S1 includes: obtaining a connection circuit diagram of electrical equipment in a primary circuit, dividing the area according to the circuit connection mode of the circuit equipment, and dividing the primary circuit into a power generation main circuit, a transmission main circuit, a distribution main circuit and an electrical main circuit.

3. A microcomputer protection measurement and control method according to claim 2, characterized in that: The step S2 includes: inputting power parameters to be collected, wherein the power parameters include current and voltage; Selecting a sampling method for collecting power parameters, the sampling method includes a DC sampling method and an AC sampling method; wherein the DC sampling method is to convert an AC signal into a DC signal through a rectifier circuit and then perform sampling; the AC sampling method is to sample the instantaneous value of the measured signal according to a set time rule, and perform numerical processing on the measured signal using a set algorithm to obtain a sampled value; Setting the initial sampling frequency of each regulatory area, sampling the power parameters of each regulatory area, and preprocessing the sampled power parameters, wherein the preprocessing includes filtering and denoising; The analog signal of the power parameter is converted into a digital signal and input into a built-in logic algorithm. The built-in logic algorithm performs logical judgment on the input digital signal through preset algorithms and conditions, and outputs the corresponding judgment result. According to the judgment result, the status information of the power system is output, and the status information includes normal, abnormal or faulty.

4. A microcomputer protection measurement and control device, which is applied to a microcomputer protection measurement and control method according to any one of claims 1-2, characterized in that: The microcomputer protection measurement and control device includes a sampling module, a calibration module and an optimization and adjustment module; The sampling module is used to sample the power parameters of each regulatory area according to the set initial sampling frequency; The calibration module is used to input the sampled power parameters into the built-in logic algorithm to determine the status information of the power system in the supervision area; The optimization and adjustment module is used to sort out the sampling records of the supervision area, build a frequency optimization model, and analyze the nodes for optimizing and adjusting the sampling frequency of the current supervision area according to the frequency optimization model; The output end of the sampling module is electrically connected to the input end of the proofreading module, and the output end of the optimization and adjustment module is electrically connected to the input end of the sampling module.

5. A microcomputer protection and measurement and control device according to claim 4, characterized in that: The sampling module includes a region division unit, a collection unit and a setting unit; the region division unit is used to obtain a connection circuit diagram of electrical equipment in a primary circuit, perform region division according to the circuit connection mode of the circuit equipment, and divide the primary circuit into a power generation main circuit, a transmission main circuit, a distribution main circuit and an electrical main circuit; The acquisition unit is used to sample the power parameters of each supervision area, and pre-process the sampled power parameters to convert the analog signals of the power parameters into digital signals; The setting unit is used to set the initial sampling frequency of each supervision area and select the sampling method for collecting power parameters; The output ends of the area division unit and the setting unit are electrically connected to the input end of the collection unit.

6. A microcomputer protection and measurement and control device according to claim 4, characterized in that: The proofreading module includes a logic judgment unit and a protection action unit. The logic judgment unit is used to perform logic judgment on the input digital signal through a built-in logic algorithm and output a corresponding judgment result; The protection action unit outputs the state information of the power system according to the judgment result, wherein the state information includes normal, abnormal or faulty, and takes corresponding protection actions; The output end of the logic judgment unit is electrically connected to the input end of the protection action unit.

7. A microcomputer protection and measurement and control device according to claim 4, characterized in that: The optimization and adjustment module includes a trend analysis unit, a cycle analysis unit and an output unit; The trend analysis unit is used to obtain the value of the time difference between the current analysis record and the previous target record, form a group of data groups with the value of the time difference corresponding to a certain sampling record and the sampling record, and calculate the K value of each data group and the average value of the K values ​​of all data groups; The cycle analysis unit is used to target the corresponding recovery time, which is the time it takes for the power system to change from abnormal or faulty to normal, and calculate the fault index of the supervision area; The output unit outputs an optimization instruction on whether the sampling frequency of the supervision area needs to be adjusted at the current time node according to the K value and the fault index analysis of the data group; The output ends of the trend analysis unit and the cycle analysis unit are electrically connected to the input end of the output unit.

Images