Voltage regulation device and method for power utilization equipment of power distribution network

Abstract

The invention discloses a voltage regulation device and method for electric equipment of a power distribution network, and the method comprises the steps: obtaining a temperature value queue and an electrical value queue, setting a highest critical quantity in advance, obtaining a final fault level value of each electrical value under the highest critical quantity through finding out the disturbance of electrical value fluctuation caused by temperature value fluctuation on electrical value fault analysis, and carrying out the voltage regulation. The last fault level value of each electrical value under the highest critical quantity can reflect the probability that each electrical value is a fault value when the highest critical quantity is used as an nheight bors value, and the nheight bors value is configured according to the fault detection measured value of each electrical value under the highest critical quantity to obtain the optimal nheight bors value of each electrical value. In this way, a proper napproach value is set for each electrical value, and the correctness of electrical value fault detection is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of voltage of power distribution network electrical equipment, and in particular relates to a voltage regulating device and method for power distribution network electrical equipment. Background Art

[0002] The distribution network is used to supply power to electrical equipment. During the period when the distribution network supplies power to the electrical equipment, the existing technical solution with patent publication number "CN205596418U" is often used to adjust the voltage of the distribution network electrical equipment. Specifically, the voltage and current values ​​of the distribution network electrical equipment such as street lights are sampled through voltage transmitters and current transmitters respectively, and then the sampled voltage and current values ​​of the distribution network electrical equipment are transmitted to the PLC controller to be compared with the applicable voltage and current of the current period. If the sampled voltage and current values ​​of the distribution network electrical equipment are higher than the applicable voltage and current of the current period, the PLC controller will transmit a voltage adjustment command to the voltage regulation device, and the voltage regulation device will control the transformer to perform voltage reduction regulation on the distribution network electrical equipment.

[0003] Before performing the comparison, it is often necessary to determine whether the electrical values ​​of the distribution network electrical equipment are faulty and whether the fault values ​​are formed. In this way, the distribution network electrical equipment is maintained according to the fault values ​​formed. The KNN method is a common fault analysis method. This method is often based on manually setting the n_neighbors value of the KNN method, and the n_neighbors value set for each electrical value is the same. The n_neighbors value in the KNN method determines the sensitivity of fault detection, that is, when the n_neighbors value is set too low, more fault values ​​can be confirmed, but non-fault values ​​are often mistaken for fault values, and when the n_neighbors value is set too high, the number of fault values ​​confirmed is lower, but it is difficult to mistake non-fault values ​​for fault values. Therefore, whether the n_neighbors value is set appropriately determines the accuracy of fault detection, because the changes in the electrical values ​​of the power distribution network equipment at different time points are different, and the difference in such changes will cause the intervals between the electrical values ​​to form different amounts. Here, the difference in the interval between some electrical values ​​and other electrical values ​​is caused by the fault of the power distribution network equipment, and the difference in the interval between some electrical values ​​and other electrical values ​​is caused by other factors. Disturbance.

[0004] For electrical values ​​caused by disturbances of other factors, if the n_neighbors value is set too low, it will often be identified as a fault value. For electrical values ​​that change due to faults in power distribution network equipment, if the n_neighbors value is set too high, it will often be identified as a non-fault value. Therefore, setting a constant n_neighbors value for each electrical value is not appropriate for detecting fault values ​​in the electrical values ​​of a car. Therefore, how to achieve accurate detection of fault values ​​in electrical values ​​by setting an appropriate n_neighbors value for each electrical value is a defect that needs to be overcome. Summary of the invention

[0005] In order to solve the defects in the prior art, the present invention proposes a voltage regulation device and method for power distribution network electrical equipment, obtains a temperature value queue and an electrical value queue, sets a maximum critical value in advance, and obtains the final fault level value of each electrical value under the highest critical value by detecting the disturbance of the electrical value fluctuation caused by the temperature value fluctuation on the electrical value fault analysis. The final fault level value of each electrical value under the highest critical value can reflect the probability of each electrical value being a fault value when the highest critical value is used as the n_neighbors value. According to the structure of the final fault level value, it can be judged that each electrical value takes the highest critical value as the n_neighbors value. The fault detection performance of each electrical value at the highest critical value is determined by the identification parameters of the fault detection performance at the ghbors value, and the fault detection measurement value of each electrical value at the highest critical value is obtained. The fault detection measurement value of each electrical value at the highest critical value can reflect the fault detection performance of each electrical value when the highest critical value is used as the n_neighbors value. According to the fault detection measurement value of each electrical value at the highest critical value, the n_neighbors value is configured to obtain the optimal n_neighbors value of each electrical value, so as to set an appropriate n_neighbors value for each electrical value to improve the accuracy of electrical value fault detection.

[0006] The present invention uses the following technical solutions.

[0007] A method for regulating voltage of electrical equipment in a distribution network, comprising:

[0008] The voltage transmitter, current transmitter and thermocouple respectively sample the voltage value, current value and temperature value of the power distribution network equipment, and then transmit the sampled voltage value, current value and temperature value of the power distribution network equipment to the PLC controller. The PLC controller performs electrical value fault identification on the collected voltage value, current value and temperature value of the power distribution network equipment, and then compares the electrical value after the fault identification with the applicable voltage and current of the current period. If the voltage value and current value of the power distribution network equipment after the fault identification are higher than the applicable voltage and current of the current period, the PLC controller transmits a voltage adjustment command to the voltage regulation device, and the electrical value is the voltage value or current value of the power distribution network equipment;

[0009] The method for performing fault identification of electrical values ​​comprises:

[0010] Step 1, obtaining the electrical value queue and the temperature value queue of the power equipment in the distribution network;

[0011] Step 2, pre-set the highest critical value, obtain the interval value of each electrical value under the highest critical value, obtain the initial fault level value of each electrical value under the highest critical value according to the interval value of each electrical value under the highest critical value, and obtain the final fault level value of each electrical value under the highest critical value according to the initial fault level value of each electrical value under the highest critical value;

[0012] Step 3, obtaining a fault detection measurement value of each electrical value at the highest critical value according to the final fault level value of each electrical value at the highest critical value, and obtaining an optimal n_neighbors value of each electrical value according to the fault detection measurement value of each electrical value at the highest critical value;

[0013] Step 4, performing fault detection according to the optimal n_neighbors value of each electrical value to obtain the fault value.

[0014] Preferably, step 1 specifically includes: using an electrical value transmitter and a thermocouple to synchronously sample the electrical value and the temperature value of the electrical equipment in the distribution network once every 50 milliseconds, sampling P times and transmitting them to the PLC controller, the PLC controller arranges the collected P electrical values ​​in the order of sampling to obtain an electrical value queue, and arranges the sampled P temperature values ​​in the order of sampling to obtain a temperature value queue, the electrical value is the voltage value or current value of the electrical equipment in the distribution network, and the electrical value transmitter is a voltage transmitter or a current transmitter.

[0015] Preferably, step 2 specifically includes: setting the maximum critical value N1 in advance, and according to the KNN method, taking the maximum critical value as the n_neighbors value of each electrical value, obtaining the electrical value of each electrical value within the interval of its n_neighbors value, and defining it as the interval value of each electrical value under the maximum critical value; according to the KNN method, obtaining the partial aggregation degree of each electrical value according to the interval value of each electrical value under the maximum critical value, and defining it as the partial aggregation degree of each electrical value under the maximum critical value.

[0016] Preferably, the n_neighbors value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest n_neighbors value in the set is the n_neighbors value interval, and all other electrical values ​​whose intervals with the electrical value are not higher than the n_neighbors value interval form the n_neighbors value interval of the electrical value, and the interval between two electrical values ​​is the absolute value of the amount obtained by subtracting the two electrical values;

[0017] The partial aggregation degree of the electrical value at the highest critical amount is: the quotient obtained by dividing the number of all electrical values ​​within the n_neighbors value interval of the electrical value by the sum of the intervals of the electrical value and each electrical value within its n_neighbors value interval. This quotient is the partial aggregation degree of the electrical value at the highest critical amount.

[0018] Preferably, step 2 specifically further comprises: the operation equation for obtaining the initial fault level value of each electrical value at the highest critical value according to the partial aggregation degree of each electrical value at the highest critical value is:

[0019]

[0020] Here, Represents the partial aggregation degree of the kth interval value of the jth electrical value in the electrical value queue under the highest critical value, represents the partial polymerization degree of the jth electrical value at the highest critical amount, Represents the interval between the jth electrical value and the kth interval value under its highest critical value, represents the number of interval values ​​of the jth electrical value under the highest critical value, Represents the initial fault level value of the jth electrical value under the highest critical quantity.

[0021] Preferably, step 2 specifically further comprises: defining any electrical value in the electrical value queue as the target electrical value, defining the consistency index of the electrical value queue and the temperature value queue as the correlation factor 1 of the target electrical value, defining the temperature value at the same point as the target electrical value as the target temperature value, defining the numerical value queue obtained after removing the target electrical value from the electrical value queue as the residual queue of the target electrical value, defining the numerical value queue obtained after removing the target temperature value from the temperature value queue as the residual queue of the target temperature value, calculating the consistency index of the residual queue of the target electrical value and the residual queue of the target temperature value, defining it as the correlation factor 2 of the target electrical value, and obtaining the correlation factor 1 and the correlation factor 2 of each electrical value by analogy;

[0022] Obtain the interval value of the target electrical value at the highest critical value, regard the temperature value at the same point as the interval value of the target electrical value at the highest critical value as the interval value of the target temperature value at the highest critical value, calculate the consistency index of each interval value of the target electrical value and the target temperature value at the highest critical value, add the consistency index of all interval values ​​of the target electrical value and the target temperature value at the highest critical value to obtain a total value, which is defined as the interval correlation degree of the target electrical value at the highest critical value, and thus obtain the interval correlation degree of each electrical value at the highest critical value.

[0023] Preferably, step 2 specifically further comprises: the operation equation for obtaining the final fault level value of each electrical value according to the correlation factor 1, the correlation factor 2 and the interval correlation degree of each electrical value is:

[0024]

[0025] Here, Represents the correlation factor of the jth electrical value, S j Represents the correlation factor of the jth electrical value

[0026] , represents the initial fault level value of the jth electrical value under the highest critical quantity, e represents the Euler number, Represents the final fault level value of the jth electrical value under the highest critical quantity.

[0027] Preferably, step 3 specifically includes: aggregating any pair of interval values ​​of each electrical value under the highest critical quantity to obtain multiple sets of each electrical value under the highest critical quantity, obtaining the span of the N1 value interval of each electrical value, and defining it as the interval span of each electrical value under the highest critical quantity; obtaining the span of the N1+1 value interval of each electrical value, and defining it as the increase interval span of each electrical value under the highest critical quantity; obtaining the span of the N1-1 value interval of each electrical value, and defining it as the decrease interval span of each electrical value under the highest critical quantity, where N1 represents the pre-set highest critical quantity.

[0028] Preferably, the span of the N1 value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest N1 value in the set is the N1 value interval, and all other electrical values ​​whose intervals with the electrical value are not higher than the N1 value interval form the N1 value interval of the electrical value, the N1 value interval is the span of the N1 value interval of the electrical value, and the interval of two electrical values ​​is the absolute value of the amount obtained by subtracting the two electrical values;

[0029] The span of the N1+1 value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest N1+1 value in the set is the N1+1 value interval, and all other electrical values ​​whose intervals with the electrical value are not higher than the N1+1 value interval form the N1+1 value interval of the electrical value, the N1+1 value interval is the span of the N1+1 value interval of the electrical value, and the interval of two electrical values ​​is the absolute value of the amount obtained by subtracting the two electrical values;

[0030] The span of the N1-1 value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest N1-1 value in the set is the N1-1 value interval, and all the other electrical values ​​whose intervals with the electrical value are not higher than the N1-1 value interval form the N1-1 value interval of the electrical value, the N1-1 value interval is the span of the N1-1 value interval of the electrical value, and the interval between two electrical values ​​is the absolute value of the quantity obtained by subtracting the two electrical values.

[0031] Preferably, step 3 specifically further comprises: the calculation equation of the fault detection measurement value of each electrical value under the highest critical value is:

[0032]

[0033] Here, Represents the span of the jth electrical value at the highest critical value. Represents the interval span of the jth electrical value under the highest critical value, Represents the span of the reduction range of the jth electrical value under the highest critical value, represents an interval value of the jth electrical value within the mth set under the highest critical value, represents another interval value in the mth set of the jth electrical value under the highest critical value, represents the number of sets of the jth electrical value at the highest critical value, Represents the fault detection value of the jth electrical value under the highest critical value.

[0034] Preferably, step 3 specifically further comprises: comparing the fault detection measurement value of each electrical value under the highest critical value with the pre-set parameter critical value Z1, and when the fault detection measurement value of each electrical value under the highest critical value is higher than the pre-set parameter critical value, taking the highest critical value as the optimal n_neighbors value of the electrical value;

[0035] When the fault detection measurement value of each electrical value under the highest critical value is not higher than the pre-set parameter critical value, the value obtained by subtracting one from the highest critical value is defined as the configuration value one, and the fault detection measurement value of each electrical value below the configuration value is obtained, and the fault detection measurement value of each electrical value below the configuration value is compared with the pre-set parameter critical value Z1. When the fault detection measurement value of each electrical value below the configuration value is higher than the pre-set parameter critical value, the configuration value one is regarded as the optimal n_neighbors value of the electrical value;

[0036] When the fault detection measurement value of each electrical value under the configuration value is not higher than the preset parameter critical value, the value obtained by subtracting one from the configuration value one is defined as configuration value two, and the fault detection measurement value of each electrical value under the configuration value two is obtained. The fault detection measurement value of each electrical value under the configuration value two is compared with the preset parameter critical value Z1. When the fault detection measurement value of each electrical value under the configuration value two is higher than the preset parameter critical value, the configuration value two is regarded as the optimal n_neighbors value of the electrical value, and so on, until the fault detection measurement value of each electrical value under the configuration value is higher than the preset parameter critical value, and the optimal n_neighbors value of each electrical value is obtained.

[0037] Preferably, step 4 specifically includes: setting the n_neighbors value of each electrical value as the optimal n_neighbors value, and using the KNN method to analyze all electrical values ​​in the electrical value queue according to the n_neighbors value of each electrical value to obtain the fault value, and then arranging maintenance personnel to perform maintenance on the electrical equipment in the distribution network according to the fault value, and simultaneously clearing the fault in the electrical value queue, so that the electrical value in the electrical value queue after clearing the fault value is regarded as the electrical value after the fault is identified.

[0038] A voltage regulating device for electrical equipment in a distribution network, comprising:

[0039] The voltage transmitter, current transmitter and thermocouple connected to the PLC controller, the PLC controller, the voltage regulating device, the transformer and the power equipment of the distribution network are connected in sequence;

[0040] The voltage transmitter, current transmitter and thermocouple are used to sample the voltage value, current value and temperature value of the power distribution network equipment respectively, and then transmit the sampled voltage value, current value and temperature value of the power distribution network equipment to the PLC controller. The PLC controller is used to perform electrical value fault identification on the collected voltage value, current value and temperature value of the power distribution network equipment, and then compare the electrical value after the fault identification with the applicable voltage and current of the current period. If the voltage value and current value of the power distribution network equipment after the fault identification are higher than the applicable voltage and current of the current period, the PLC controller transmits a voltage adjustment command to the voltage regulation device, and the electrical value is the voltage value or current value of the power distribution network equipment;

[0041] The modules on the PLC controller include:

[0042] A queue module, which is used to obtain the electrical value queue and the temperature value queue of the power equipment in the distribution network;

[0043] A level module, which is used to set the highest critical value in advance, obtain the interval value of each electrical value under the highest critical value, obtain the initial fault level value of each electrical value under the highest critical value according to the interval value of each electrical value under the highest critical value, and obtain the final fault level value of each electrical value under the highest critical value according to the initial fault level value of each electrical value under the highest critical value;

[0044] A detection module, which is used to obtain a fault detection measurement value of each electrical value under the highest critical value according to the final fault level value of each electrical value under the highest critical value, and obtain an optimal n_neighbors value of each electrical value according to the fault detection measurement value of each electrical value under the highest critical value;

[0045] The execution module is used for executing fault detection according to the optimal n_neighbors value of each electrical value to obtain the fault value.

[0046] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0047] A temperature value queue and an electrical value queue are obtained, and a maximum critical value is set in advance. The final fault level value of each electrical value under the maximum critical value is obtained by detecting the disturbance of the electrical value fluctuation caused by the temperature value fluctuation on the electrical value fault analysis. The final fault level value of each electrical value under the maximum critical value can reflect the probability that the electrical value is a fault value when the maximum critical value is used as the n_neighbors value. According to the structure of the final fault level value, the identification parameter of the fault detection performance of each electrical value when the maximum critical value is used as the n_neighbors value can be judged, and the fault detection measurement value of each electrical value under the maximum critical value can be obtained. The fault detection measurement value of each electrical value under the maximum critical value can reflect the fault detection performance of each electrical value when the maximum critical value is used as the n_neighbors value. According to the fault detection measurement value of each electrical value under the maximum critical value, the n_neighbors value is configured to obtain the optimal n_neighbors value of each electrical value, so as to set an appropriate n_neighbors value for each electrical value to improve the accuracy of electrical value fault detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a flow chart of the voltage regulation method of the power distribution network electrical equipment in the present invention;

[0049] Figure 2 It is a partial structural schematic diagram of the voltage regulating device of the power distribution network electrical equipment described in the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely expressed in combination with the drawings in the embodiments of the present invention. The embodiments expressed in this application are only part of the embodiments of the present invention, not all of them. According to the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0051] like Figure 1 As shown, a voltage regulation method for power distribution network electrical equipment according to the present invention comprises:

[0052] The voltage transmitter, current transmitter and thermocouple respectively sample the voltage, current and temperature of the distribution network electrical equipment such as street lamps, and then transmit the sampled voltage, current and temperature of the distribution network electrical equipment to the PLC controller. The PLC controller performs electrical value fault identification on the collected voltage, current and temperature of the distribution network electrical equipment, and then compares the electrical value after the fault identification with the applicable voltage and current of the current period. If the voltage and current values ​​of the distribution network electrical equipment after the fault identification are higher than the applicable voltage and current of the current period, the PLC controller transmits a voltage adjustment command to the voltage regulator, and the voltage regulator controls the transformer to perform voltage reduction regulation on the distribution network electrical equipment. The electrical value is the voltage or current value of the distribution network electrical equipment.

[0053] The method for performing fault identification of electrical values ​​comprises:

[0054] Step 1, obtaining the electrical value queue and the temperature value queue of the power equipment in the distribution network;

[0055] In a preferred but non-restrictive embodiment of the present invention, step 1 specifically includes: every 50 milliseconds, use an electrical value transmitter and a thermocouple to synchronously sample the electrical value and the temperature value of the electrical equipment in the distribution network once, sample P times and transmit them to the PLC controller, the PLC controller arranges the collected P electrical values ​​in the order of sampling to obtain an electrical value queue, and arranges the sampled P temperature values ​​in the order of sampling to obtain a temperature value queue, the electrical value is the voltage value or current value of the electrical equipment in the distribution network, and the electrical value transmitter is a voltage transmitter or a current transmitter.

[0056] In a preferred but non-limiting embodiment of the present invention, P may take a value of one thousand.

[0057] Step 2, pre-set the highest critical value, obtain the interval value of each electrical value under the highest critical value, obtain the initial fault level value of each electrical value under the highest critical value according to the interval value of each electrical value under the highest critical value, and obtain the final fault level value of each electrical value under the highest critical value according to the initial fault level value of each electrical value under the highest critical value;

[0058] In order to determine the n_neighbors value of each electrical value, it is necessary to measure the fault detection performance of each electrical value under different n_neighbors values.

[0059] In a preferred but non-limiting embodiment of the present invention, step 2 specifically includes: setting the maximum critical value N1 in advance, where N1 can be 100, and according to the KNN method, taking the maximum critical value as the n_neighbors value of each electrical value, obtaining the electrical value of each electrical value within the interval of its n_neighbors value, and defining it as the interval value of each electrical value under the maximum critical value; according to the KNN method, obtaining the partial aggregation degree of each electrical value according to the interval value of each electrical value under the maximum critical value, and defining it as the partial aggregation degree of each electrical value under the maximum critical value.

[0060] In a preferred but non-limiting embodiment of the present invention, the n_neighbors value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest n_neighbors value in the set is the n_neighbors value interval, and all other electrical values ​​whose intervals with the electrical value are not higher than the n_neighbors value interval form the n_neighbors value interval of the electrical value, and the interval between two electrical values ​​is the absolute value of the amount obtained by subtracting the two electrical values;

[0061] The partial aggregation degree of the electrical value at the highest critical amount is: the quotient obtained by dividing the number of all electrical values ​​within the n_neighbors value interval of the electrical value by the sum of the intervals of the electrical value and each electrical value within its n_neighbors value interval. This quotient is the partial aggregation degree of the electrical value at the highest critical amount.

[0062] Initially, the fault detection performance of each electrical value at the highest critical value is measured. To measure the fault detection performance of each electrical value at the highest critical value, it is necessary to first analyze the fault condition of each electrical value at the highest critical value.

[0063] In addition, because the electrical value is more similar to the electrical value with a lower interval, when performing fault analysis, it is necessary to refer more primarily to the electrical value with a lower interval.

[0064] In a preferred but non-limiting embodiment of the present invention, step 2 specifically further comprises: the operation equation for obtaining the initial fault level value of each electrical value at the highest critical value according to the partial polymerization degree of each electrical value at the highest critical value is:

[0065]

[0066] Here, represents the partial aggregation degree of the kth interval value of the jth electrical value in the electrical value queue under the highest critical value (the partial aggregation degree is the partial aggregation degree of the kth interval value under the highest critical value), represents the partial polymerization degree of the jth electrical value at the highest critical amount, Represents the interval between the jth electrical value and the kth interval value under its highest critical value, It reflects the difference between the partial aggregation degree of the kth interval value of the jth electrical value under the highest critical value and the partial aggregation degree of the jth electrical value. The higher the difference, the lower the aggregation degree of the electrical values ​​arranged next to the jth electrical value is, so the jth electrical value is more likely to be a fault value caused by a fault in the electrical equipment of the distribution network. represents the number of interval values ​​of the jth electrical value under the highest critical value, Represents the initial fault level value of the jth electrical value under the highest critical quantity.

[0067] Because the voltage increase and decrease of the power equipment in the distribution network will cause the voltage of the power equipment in the distribution network to change. The voltage increase and decrease of the power equipment in the distribution network are related to the working condition of the power equipment in the distribution network. The working condition of the power equipment in the distribution network can be reflected by the temperature value of the power equipment in the distribution network, so the voltage of the power equipment in the distribution network will be related to the temperature value of the power equipment in the distribution network. The voltage change of the power equipment in the distribution network caused by the synchronous state change of the power equipment in the distribution network will cause the difference between the electrical value of the tire and the electrical value of the other. When the difference between the electrical value of the tire and the electrical value of the other is large, it is often mistaken as a fault value. To avoid such a fault misidentification problem, the disturbance of the voltage change of the power equipment in the distribution network caused by the state change of the power equipment in the distribution network is detected.

[0068] In a preferred but non-limiting embodiment of the present invention, step 2 specifically further includes: defining any electrical value in the electrical value queue as the target electrical value, defining the consistency index of the electrical value queue and the temperature value queue as the correlation factor 1 of the target electrical value, defining the temperature value at the same point as the target electrical value as the target temperature value, defining the numerical value queue obtained after removing the target electrical value from the electrical value queue as the residual queue of the target electrical value, defining the numerical value queue obtained after removing the target temperature value from the temperature value queue as the residual queue of the target temperature value, calculating the consistency index of the residual queue of the target electrical value and the residual queue of the target temperature value, defining it as the correlation factor 2 of the target electrical value, and obtaining the correlation factor 1 and correlation factor 2 of each electrical value by analogy;

[0069] Obtain the interval value of the target electrical value at the highest critical value, regard the temperature value at the same point as the interval value of the target electrical value at the highest critical value as the interval value of the target temperature value at the highest critical value, calculate the consistency index of each interval value of the target electrical value and the target temperature value at the highest critical value, add the consistency index of all interval values ​​of the target electrical value and the target temperature value at the highest critical value to obtain a total value, which is defined as the interval correlation degree of the target electrical value at the highest critical value, and thus obtain the interval correlation degree of each electrical value at the highest critical value.

[0070] In a preferred but non-limiting embodiment of the present invention, step 2 specifically further comprises: the operation equation for obtaining the final fault level value of each electrical value according to the correlation factor 1, the correlation factor 2 and the interval correlation degree of each electrical value is:

[0071]

[0072] Here, Represents the correlation factor of the jth electrical value, S j Represents the correlation factor of the jth electrical value

[0073] , It reflects the change of the correlation between the electrical value and the temperature value after the jth electrical value is removed, and the correlation between the electrical value and the temperature value before removal. The higher it is, the higher the probability that the jth electrical value will cause the correlation between the electrical value and the temperature value to decrease. Therefore, the jth electrical value will cause the correlation between the electrical value and the temperature value to weaken. Therefore, the higher the probability that the jth electrical value is a fault value. represents the interval correlation of the jth electrical value under the highest critical value, It reflects the correlation between the jth electrical value and the temperature value in the interval. The higher the value, the higher the correlation between the jth electrical value and the temperature value in the interval, so the probability that the jth electrical value is a fault value is lower. represents the initial fault level value of the jth electrical value under the highest critical value, The higher the value, the higher the fault level of the jth electrical value. e represents the Euler number. Represents the final fault level value of the jth electrical value under the highest critical quantity.

[0074] Therefore, the final fault level value of each electrical value at the highest critical value is obtained. The final fault level value is obtained based on the analysis of the interval values ​​of each electrical value at the highest critical value. It can reflect the numerical value of the fault condition of each electrical value. Through this numerical value, the fault condition of each electrical value at the highest critical value can be well reflected.

[0075] Step 3, obtaining a fault detection measurement value of each electrical value at the highest critical value according to the final fault level value of each electrical value at the highest critical value, and obtaining an optimal n_neighbors value of each electrical value according to the fault detection measurement value of each electrical value at the highest critical value;

[0076] In order to obtain the appropriate n_neighbors value for each electrical value, it is necessary to measure the fault detection performance when the highest critical value is used as the n_neighbors value for each electrical value.

[0077] In a preferred but non-restrictive embodiment of the present invention, step 3 specifically includes: aggregating any pair of interval values ​​of each electrical value at the highest critical quantity to obtain multiple sets of each electrical value at the highest critical quantity, obtaining the span of the N1 value interval of each electrical value, and defining it as the interval span of each electrical value at the highest critical quantity; obtaining the span of the N1+1 value interval of each electrical value, and defining it as the rising interval span of each electrical value at the highest critical quantity; obtaining the span of the N1-1 value interval of each electrical value, and defining it as the falling interval span of each electrical value at the highest critical quantity, where N1 represents the pre-set highest critical quantity.

[0078] In a preferred but non-limiting embodiment of the present invention, the span of the N1 value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest N1 value in the set is the N1 value interval, and all other electrical values ​​whose intervals with the electrical value are not higher than the N1 value interval form the N1 value interval of the electrical value, the N1 value interval is the span of the N1 value interval of the electrical value, and the interval of two electrical values ​​is the absolute value of the amount obtained by subtracting the two electrical values;

[0079] The span of the N1+1 value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest N1+1 value in the set is the N1+1 value interval, and all other electrical values ​​whose intervals with the electrical value are not higher than the N1+1 value interval form the N1+1 value interval of the electrical value, the N1+1 value interval is the span of the N1+1 value interval of the electrical value, and the interval of two electrical values ​​is the absolute value of the amount obtained by subtracting the two electrical values;

[0080] The span of the N1-1 value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest N1-1 value in the set is the N1-1 value interval, and all the other electrical values ​​whose intervals with the electrical value are not higher than the N1-1 value interval form the N1-1 value interval of the electrical value, the N1-1 value interval is the span of the N1-1 value interval of the electrical value, and the interval between two electrical values ​​is the absolute value of the quantity obtained by subtracting the two electrical values.

[0081] In a preferred but non-limiting embodiment of the present invention, step 3 specifically further comprises: the calculation equation of the fault detection measurement value of each electrical value at the highest critical value is:

[0082]

[0083] Here, Represents the span of the jth electrical value at the highest critical value. Represents the interval span of the jth electrical value under the highest critical value, Represents the span of the reduction range of the jth electrical value under the highest critical value, Represents the ratio of the amount obtained by subtracting the spans of a pair of adjacent intervals of the jth electrical value at the highest critical value, The higher it is, the more the span of the N1+1 value interval of the j-th electrical value and the span of the M1 value interval are different, and the span of the N1 value interval of the j-th electrical value and the span of the N1-1 value interval are not different, which means that the difference between the values ​​of the j-th electrical value within the N1 value interval is not high, and the difference between the values ​​outside the N1 value interval and the values ​​within the N1 value interval is not low, so the values ​​within the N1 value interval of the j-th electrical value often belong to the same cluster, and the approximation between the values ​​in the same cluster is not low, so when performing fault detection, we often only refer to the values ​​in the same cluster, and when referring to multiple clusters of values, we often suffer from the disturbance of cluster distinction, so The higher it is, the more appropriate the maximum threshold is as the value of n_neighbors. represents an interval value of the jth electrical value within the mth set under the highest critical value, represents another interval value in the mth set of the jth electrical value under the highest critical value, represents the number of sets of the jth electrical value at the highest critical value, It reflects the fault level difference between the interval values ​​obtained when the j-th electrical value takes the highest critical value as the n_neighbors value. The higher the value, the better it is at distinguishing non-fault values ​​from fault values ​​when the jth electrical value takes the highest critical value as the n_neighbors value. Therefore, when the jth electrical value takes the highest critical value as the n_neighbors value, its fault detection performance is good. Represents the fault detection value of the jth electrical value under the highest critical value.

[0084] In order to obtain the appropriate n_neighbors value for each electrical value, the n_neighbors value for each electrical value must be configured according to the fault detection measurement value of each electrical value under the highest critical value, so as to obtain the optimal n_neighbors value for each electrical value.

[0085] In a preferred but non-limiting embodiment of the present invention, step 3 specifically further comprises: comparing the fault detection measurement value of each electrical value under the highest critical value with the pre-set parameter critical value Z1, and when the fault detection measurement value of each electrical value under the highest critical value is higher than the pre-set parameter critical value, taking the highest critical value as the optimal n_neighbors value of the electrical value;

[0086] When the fault detection measurement value of each electrical value under the highest critical value is not higher than the pre-set parameter critical value, the value obtained by subtracting one from the highest critical value is defined as the configuration value one, and the fault detection measurement value of each electrical value below the configuration value is obtained, and the fault detection measurement value of each electrical value below the configuration value is compared with the pre-set parameter critical value Z1. When the fault detection measurement value of each electrical value below the configuration value is higher than the pre-set parameter critical value, the configuration value one is regarded as the optimal n_neighbors value of the electrical value;

[0087] When the fault detection measurement value of each electrical value under the configuration value is not higher than the pre-set parameter critical value, the value obtained by subtracting one from the configuration value one is defined as the configuration value two, and the fault detection measurement value of each electrical value under the configuration value two is obtained. The fault detection measurement value of each electrical value under the configuration value two is compared with the pre-set parameter critical value Z1. When the fault detection measurement value of each electrical value under the configuration value two is higher than the pre-set parameter critical value, the configuration value two is regarded as the optimal n_neighbors value of the electrical value, and so on, until the fault detection measurement value of each electrical value under the configuration value is higher than the pre-set parameter critical value, the optimal n_neighbors value of each electrical value is obtained. The newly obtained configuration value is the updated highest critical value.

[0088] The value of Z1 can be 90%.

[0089] Step 4, performing fault detection according to the optimal n_neighbors value of each electrical value to obtain the fault value.

[0090] In a preferred but non-restrictive implementation of the present invention, step 4 specifically includes: setting the n_neighbors value of each electrical value as the optimal n_neighbors value, and using the KNN method to analyze all electrical values ​​in the electrical value queue based on the n_neighbors value of each electrical value to obtain the fault value, and then arranging maintenance personnel to perform maintenance on the electrical equipment in the distribution network based on the fault value, and simultaneously clearing the fault in the electrical value queue, so that the electrical value in the electrical value queue after clearing the fault value is used as the electrical value after the fault is identified.

[0091] like Figure 2 As shown, a voltage regulating device for power distribution network electrical equipment according to the present invention comprises:

[0092] The voltage transmitter, current transmitter and thermocouple connected to the PLC controller, the PLC controller, the voltage regulator, the transformer and the power distribution network equipment such as street lamps are connected in sequence;

[0093] Voltage transmitters, current transmitters and thermocouples are used to sample the voltage, current and temperature of distribution network electrical equipment such as street lamps, and then transmit the sampled voltage, current and temperature of the distribution network electrical equipment to the PLC controller. The PLC controller is used to perform electrical value fault identification on the collected voltage, current and temperature values ​​of the distribution network electrical equipment, and then compare the electrical value after the fault identification with the applicable voltage and current of the current period. If the voltage and current values ​​of the distribution network electrical equipment after the fault identification are higher than the applicable voltage and current of the current period, the PLC controller transmits a voltage adjustment command to the voltage regulator, and the voltage regulator controls the transformer to perform voltage reduction regulation on the distribution network electrical equipment. The electrical value is the voltage or current value of the distribution network electrical equipment.

[0094] The modules on the PLC controller include:

[0095] A queue module, which is used to obtain the electrical value queue and the temperature value queue of the power equipment in the distribution network;

[0096] A level module, which is used to set the highest critical value in advance, obtain the interval value of each electrical value under the highest critical value, obtain the initial fault level value of each electrical value under the highest critical value according to the interval value of each electrical value under the highest critical value, and obtain the final fault level value of each electrical value under the highest critical value according to the initial fault level value of each electrical value under the highest critical value;

[0097] A detection module, which is used to obtain a fault detection measurement value of each electrical value under the highest critical value according to the final fault level value of each electrical value under the highest critical value, and obtain an optimal n_neighbors value of each electrical value according to the fault detection measurement value of each electrical value under the highest critical value;

[0098] The execution module is used for executing fault detection according to the optimal n_neighbors value of each electrical value to obtain the fault value.

[0099] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0100] A temperature value queue and an electrical value queue are obtained, and a maximum critical value is set in advance. The final fault level value of each electrical value under the maximum critical value is obtained by detecting the disturbance of the electrical value fluctuation caused by the temperature value fluctuation on the electrical value fault analysis. The final fault level value of each electrical value under the maximum critical value can reflect the probability that the electrical value is a fault value when the maximum critical value is used as the n_neighbors value. According to the structure of the final fault level value, the identification parameter of the fault detection performance of each electrical value when the maximum critical value is used as the n_neighbors value can be judged, and the fault detection measurement value of each electrical value under the maximum critical value can be obtained. The fault detection measurement value of each electrical value under the maximum critical value can reflect the fault detection performance of each electrical value when the maximum critical value is used as the n_neighbors value. According to the fault detection measurement value of each electrical value under the maximum critical value, the n_neighbors value is configured to obtain the optimal n_neighbors value of each electrical value, so as to set an appropriate n_neighbors value for each electrical value to improve the accuracy of electrical value fault detection.

[0101] 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, and any modifications or equivalent replacements that do not deviate from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A method for regulating voltage of electrical equipment in a distribution network, characterized in that: include: The voltage transmitter, current transmitter and thermocouple respectively sample the voltage value, current value and temperature value of the power distribution network equipment, and then transmit the sampled voltage value, current value and temperature value of the power distribution network equipment to the PLC controller. The PLC controller performs electrical value fault identification on the collected voltage value, current value and temperature value of the power distribution network equipment, and then compares the electrical value after the fault identification with the applicable voltage and current of the current period. If the voltage value and current value of the power distribution network equipment after the fault identification are higher than the applicable voltage and current of the current period, the PLC controller transmits a voltage adjustment command to the voltage regulation device, and the electrical value is the voltage value or current value of the power distribution network equipment; The method for performing fault identification of electrical values ​​comprises: Step 1, obtaining the electrical value queue and the temperature value queue of the power equipment in the distribution network; Step 2, pre-set the highest critical value, obtain the interval value of each electrical value under the highest critical value, obtain the initial fault level value of each electrical value under the highest critical value according to the interval value of each electrical value under the highest critical value, and obtain the final fault level value of each electrical value under the highest critical value according to the initial fault level value of each electrical value under the highest critical value; Step 3, obtaining a fault detection measurement value of each electrical value at the highest critical value according to the final fault level value of each electrical value at the highest critical value, and obtaining an optimal n_neighbors value of each electrical value according to the fault detection measurement value of each electrical value at the highest critical value; Step 4, performing fault detection according to the optimal n_neighbors value of each electrical value to obtain the fault value.

2. The voltage regulation method for power distribution network electrical equipment according to claim 1, characterized in that: Step 1 specifically includes: every 50 milliseconds, use the electrical value transmitter and the thermocouple to synchronously sample the electrical value and the temperature value of the electrical equipment in the distribution network once, sample P times and transmit to the PLC controller, the PLC controller arranges the collected P electrical values ​​according to the sampling order to obtain an electrical value queue, and arranges the sampled P temperature values ​​according to the sampling order to obtain a temperature value queue, the electrical value is the voltage value or current value of the electrical equipment in the distribution network, and the electrical value transmitter is the voltage transmitter or the current transmitter.

3. The voltage regulation method for power distribution network electrical equipment according to claim 2, characterized in that: Step 2 specifically includes: setting the highest critical value N1 in advance, taking the highest critical value as the n_neighbors value of each electrical value according to the KNN method, obtaining the electrical value of each electrical value within the interval of its n_neighbors value, and defining it as the interval value of each electrical value under the highest critical value; According to the KNN method, the partial aggregation degree of each electrical value is obtained according to the interval value of each electrical value under the highest critical value, which is defined as the partial aggregation degree of each electrical value under the highest critical value; The n_neighbors value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest n_neighbors value in the set is the n_neighbors value interval, and all other electrical values ​​whose intervals with the electrical value are not higher than the n_neighbors value interval form the n_neighbors value interval of the electrical value, and the interval between two electrical values ​​is the absolute value of the value obtained by subtracting the two electrical values; The partial aggregation degree of the electrical value at the highest critical amount is: the quotient obtained by dividing the number of all electrical values ​​within the n_neighbors value interval of the electrical value by the sum of the intervals of the electrical value and each electrical value within its n_neighbors value interval. This quotient is the partial aggregation degree of the electrical value at the highest critical amount.

4. The voltage regulation method for power distribution network electrical equipment according to claim 3, characterized in that: Step 2 specifically further includes: the operation equation for obtaining the initial fault level value of each electrical value at the highest critical value according to the partial aggregation degree of each electrical value at the highest critical value is: Here, Represents the partial aggregation degree of the kth interval value of the jth electrical value in the electrical value queue under the highest critical value, represents the partial polymerization degree of the jth electrical value at the highest critical amount, Represents the interval between the jth electrical value and the kth interval value under its highest critical value, represents the number of interval values ​​of the jth electrical value under the highest critical value, represents the initial fault level value of the jth electrical value under the highest critical quantity; Step 2 specifically further includes: defining any electrical value in the electrical value queue as the target electrical value, defining the consistency index of the electrical value queue and the temperature value queue as the correlation factor 1 of the target electrical value, defining the temperature value at the same point as the target electrical value as the target temperature value, defining the numerical value queue obtained after removing the target electrical value from the electrical value queue as the residual queue of the target electrical value, defining the numerical value queue obtained after removing the target temperature value from the temperature value queue as the residual queue of the target temperature value, calculating the consistency index of the residual queue of the target electrical value and the residual queue of the target temperature value, defining it as the correlation factor 2 of the target electrical value, and obtaining the correlation factor 1 and correlation factor 2 of each electrical value by analogy; Obtain the interval value of the target electrical value at the highest critical value, regard the temperature value at the same point as the interval value of the target electrical value at the highest critical value as the interval value of the target temperature value at the highest critical value, calculate the consistency index of each interval value of the target electrical value and the target temperature value at the highest critical value, add the consistency index of all interval values ​​of the target electrical value and the target temperature value at the highest critical value to obtain a total value, which is defined as the interval correlation degree of the target electrical value at the highest critical value, and thus obtain the interval correlation degree of each electrical value at the highest critical value.

5. The voltage regulation method for power distribution network electrical equipment according to claim 4, characterized in that: Step 2 specifically further includes: the operation equation for obtaining the final fault level value of each electrical value according to the correlation factor 1, the correlation factor 2 and the interval correlation degree of each electrical value is: Here, Represents the correlation factor of the jth electrical value, S j Represents the correlation factor of the jth electrical value, represents the initial fault level value of the jth electrical value under the highest critical quantity, e represents the Euler number, Represents the final fault level value of the jth electrical value under the highest critical quantity.

6. The voltage regulation method for power distribution network electrical equipment according to claim 5, characterized in that: Step 3 specifically includes: aggregating any pair of interval values ​​of each electrical value under the highest critical quantity to obtain multiple sets of each electrical value under the highest critical quantity, obtaining the span of the N1 value interval of each electrical value, and defining it as the interval span of each electrical value under the highest critical quantity; obtaining the span of the N1+1 value interval of each electrical value, and defining it as the increase interval span of each electrical value under the highest critical quantity; obtaining the span of the N1-1 value interval of each electrical value, and defining it as the decrease interval span of each electrical value under the highest critical quantity, where N1 represents the pre-set highest critical quantity.

7. The voltage regulation method for power distribution network electrical equipment according to claim 6, characterized in that: The span of the N1 value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest N1 value in the set is the N1 value interval, and all other electrical values ​​whose intervals with the electrical value are not higher than the N1 value interval form the N1 value interval of the electrical value, the N1 value interval is the span of the N1 value interval of the electrical value, and the interval of two electrical values ​​is the absolute value of the value obtained by subtracting the two electrical values; The span of the N1+1 value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest N1+1 value in the set is the N1+1 value interval, and all other electrical values ​​whose intervals with the electrical value are not higher than the N1+1 value interval form the N1+1 value interval of the electrical value, the N1+1 value interval is the span of the N1+1 value interval of the electrical value, and the interval of two electrical values ​​is the absolute value of the amount obtained by subtracting the two electrical values; The span of the N1-1 value interval of the electrical value is: in the set formed by the intervals of the electrical value and other electrical values ​​in the electrical value queue, the interval with the smallest N1-1 value in the set is the N1-1 value interval, and all the other electrical values ​​whose intervals with the electrical value are not higher than the N1-1 value interval form the N1-1 value interval of the electrical value, the N1-1 value interval is the span of the N1-1 value interval of the electrical value, and the interval between two electrical values ​​is the absolute value of the quantity obtained by subtracting the two electrical values.

8. The voltage regulation method for power distribution network electrical equipment according to claim 7, characterized in that: Step 3 specifically includes: the calculation equation of the fault detection measurement value of each electrical value under the highest critical value is: Here, Represents the span of the jth electrical value at the highest critical value. Represents the interval span of the jth electrical value under the highest critical value, Represents the range of the reduction of the jth electrical value under the highest critical value, represents an interval value of the jth electrical value within the mth set under the highest critical value, represents another interval value in the mth set of the jth electrical value under the highest critical value, represents the number of sets of the jth electrical value at the highest critical value, represents the fault detection measurement value of the jth electrical value at the highest critical value; Step 3 specifically further includes: comparing the fault detection measurement value of each electrical value under the highest critical value with the pre-set parameter critical value Z1, and when the fault detection measurement value of each electrical value under the highest critical value is higher than the pre-set parameter critical value, taking the highest critical value as the optimal n_neighbors value of the electrical value; When the fault detection measurement value of each electrical value under the highest critical value is not higher than the pre-set parameter critical value, the value obtained by subtracting one from the highest critical value is defined as the configuration value one, and the fault detection measurement value of each electrical value below the configuration value is obtained, and the fault detection measurement value of each electrical value below the configuration value is compared with the pre-set parameter critical value Z1. When the fault detection measurement value of each electrical value below the configuration value is higher than the pre-set parameter critical value, the configuration value one is regarded as the optimal n_neighbors value of the electrical value; When the fault detection measurement value of each electrical value under the configuration value is not higher than the preset parameter critical value, the value obtained by subtracting one from the configuration value one is defined as configuration value two, and the fault detection measurement value of each electrical value under the configuration value two is obtained. The fault detection measurement value of each electrical value under the configuration value two is compared with the preset parameter critical value Z1. When the fault detection measurement value of each electrical value under the configuration value two is higher than the preset parameter critical value, the configuration value two is regarded as the optimal n_neighbors value of the electrical value, and so on, until the fault detection measurement value of each electrical value under the configuration value is higher than the preset parameter critical value, and the optimal n_neighbors value of each electrical value is obtained.

9. The voltage regulation method for power distribution network electrical equipment according to claim 8, characterized in that: Step 4 specifically includes: setting the n_neighbors value of each electrical value as the optimal n_neighbors value, and using the KNN method to analyze all electrical values ​​in the electrical value queue according to the n_neighbors value of each electrical value to obtain the fault value, and then arranging maintenance personnel to perform maintenance on the distribution network electrical equipment according to the fault value, and simultaneously clearing the fault in the electrical value queue, so that the electrical value in the electrical value queue after clearing the fault value is regarded as the electrical value after the fault is identified.

10. A voltage regulating device for electrical equipment in a distribution network, characterized in that: include: The voltage transmitter, current transmitter and thermocouple connected to the PLC controller, the PLC controller, the voltage regulating device, the transformer and the power equipment of the distribution network are connected in sequence; The voltage transmitter, current transmitter and thermocouple are used to sample the voltage value, current value and temperature value of the power distribution network equipment respectively, and then transmit the sampled voltage value, current value and temperature value of the power distribution network equipment to the PLC controller. The PLC controller is used to perform electrical value fault identification on the collected voltage value, current value and temperature value of the power distribution network equipment, and then compare the electrical value after the fault identification with the applicable voltage and current of the current period. If the voltage value and current value of the power distribution network equipment after the fault identification are higher than the applicable voltage and current of the current period, the PLC controller transmits a voltage adjustment command to the voltage regulation device, and the electrical value is the voltage value or current value of the power distribution network equipment; The modules on the PLC controller include: A queue module, which is used to obtain the electrical value queue and the temperature value queue of the power equipment in the distribution network; A level module, which is used to set the highest critical value in advance, obtain the interval value of each electrical value under the highest critical value, obtain the initial fault level value of each electrical value under the highest critical value according to the interval value of each electrical value under the highest critical value, and obtain the final fault level value of each electrical value under the highest critical value according to the initial fault level value of each electrical value under the highest critical value; A detection module, which is used to obtain a fault detection measurement value of each electrical value under the highest critical value according to the final fault level value of each electrical value under the highest critical value, and obtain an optimal n_neighbors value of each electrical value according to the fault detection measurement value of each electrical value under the highest critical value; The execution module is used for executing fault detection according to the optimal n_neighbors value of each electrical value to obtain the fault value.

Images