A method for analyzing power outage range based on user clustering

Abstract

The present invention relates to the field of electric power monitoring technology, and discloses a method for analyzing the scope of power outage based on user clustering. The present invention divides users in an area into multiple clusters through a clustering algorithm, calculates the Spearman rank correlation coefficient between all users in the same cluster according to the meter voltage data of each user in the area in the same preset time period, selects the corresponding user with the largest correlation as a characteristic user according to the Spearman rank correlation coefficient, and installs a smart meter for sending an alarm signal when a power outage fault is sent, and then analyzes the power outage status of the distribution transformer and the user according to the alarm signal of the smart meter, so as to determine the scope of power outage. The present invention can avoid the shortcomings of dispersed users in the area and inaccurate low-voltage wiring information, effectively reduce costs, and perform power outage scope analysis based on the alarm signal of the characteristic user, which can improve the accuracy of the power outage scope analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power monitoring, and in particular to a method for analyzing power outage range based on user clustering. Background Art

[0002] The distribution substation is the lowest unit of the distribution network and the source of households, and is the key to the smart distribution network. With the continuous improvement of lean management requirements for smart distribution networks, the number of residential users connected to the distribution substation continues to grow, which puts tremendous pressure on personnel operation and maintenance, master station system information processing, etc.

[0003] When a power outage occurs, due to the lack or inaccurate low-voltage wiring information in the substation, it is usually necessary to rely on residential users to automatically report faults and repair personnel to check each house to determine the scope of the power outage and then carry out emergency repairs and power restoration, which greatly affects the user's electricity service experience.

[0004] The traditional way is to implement power outage alarm by installing a large number of monitoring devices on the low-voltage side. This method has the problems of large initial investment and high subsequent maintenance costs, and is difficult to promote.

[0005] In the related art, user groups are divided based on the topological location of users in the substation area. When a power outage occurs to some users, the associated distribution transformers need to be determined through the actual distribution network connection relationship or topological structure, and then the power outage scope is determined to be the associated distribution transformer and all users in the corresponding user group. However, dividing users based only on the topological location of users in the substation area may not achieve the best user clustering effect; determining the power outage scope based only on the distribution network connection relationship or topological structure has low accuracy. Summary of the invention

[0006] The present invention provides a method for analyzing power outage range based on user clustering, which solves the technical problems of high cost and low accuracy of the existing power outage range analysis method.

[0007] The present invention provides a method for analyzing power outage range based on user clustering, comprising:

[0008] The users in the area are divided into multiple clusters through clustering algorithm;

[0009] Obtain the meter voltage data of each user in the substation in the same preset time period, calculate the Spearman rank correlation coefficient (Spearman correlation coefficient) between all users in the same cluster according to the meter voltage data, select the corresponding user with the largest correlation as the characteristic user according to the Spearman rank correlation coefficient, and install a smart meter for sending an alarm signal when a power outage fault is sent on the high-voltage side and low-voltage side of the distribution transformer in the substation and at the characteristic user;

[0010] The power outage status of the distribution transformer and the user is analyzed according to the alarm signal of the smart meter, and the power outage scope is determined according to the analysis result.

[0011] According to an achievable manner of the present invention, the clustering algorithm is used to divide the users in the station area into multiple clusters, including:

[0012] Obtain location data of users in the area;

[0013] Based on the location data, the K-modes clustering algorithm is used to cluster the users in the station area.

[0014] According to an achievable manner of the present invention, the step of calculating the Spearman rank correlation coefficient between all users in the same cluster according to the meter voltage data includes:

[0015] Assume that the meter voltage data of user X and user Y in the same cluster in the same preset time period are x = {x1, x2, ..., x n}、y={y1,y2,…,y n}, the Spearman rank correlation coefficient between user X and user Y is calculated using the following formula:

[0016]

[0017] In the formula, ρ represents the Spearman rank correlation coefficient, d i =x i -y i , x i For x = {x1, x2, …, x n}, the i-th data, y i For y = {y1, y2, …, y n} the i-th data in .

[0018] According to an achievable manner of the present invention, analyzing the power outage status of the distribution transformer and the user according to the alarm signal of the smart meter, and determining the power outage scope according to the analysis result, includes:

[0019] Parsing the alarm signal to obtain field information of the alarm signal, the field information including the alarm meter number, the high-voltage side status value of the distribution transformer, and the low-voltage side status value of the distribution transformer;

[0020] Determine whether it is a distribution transformer high-voltage side alarm according to the distribution transformer high-voltage side state value;

[0021] If the alarm is on the high-voltage side of the distribution transformer, when the alarm meter number contains the meter numbers of all smart meters, the power outage range is determined to be the entire substation area, otherwise it is regarded as a false alarm of the alarm device on the high-voltage side of the distribution transformer;

[0022] If it is not an alarm on the high-voltage side of the distribution transformer, determine whether it is an alarm on the low-voltage side of the distribution transformer based on the status value of the low-voltage side of the distribution transformer; if it is an alarm on the low-voltage side of the distribution transformer, when the alarm meter number contains the meter numbers of all smart meters, determine that the power outage range is the entire substation, otherwise it is regarded as a false alarm of the low-voltage side alarm device of the distribution transformer; if it is not an alarm on the low-voltage side of the distribution transformer, use polling to determine the power outage status of each user in the substation.

[0023] According to an achievable method of the present invention, the field information further includes the phase number where the alarm signal is located, the cluster number where the alarm signal is located, and the feeder number where the alarm signal is located; the method of determining the power outage status of each user in the substation area by polling includes:

[0024] When the feeder connection data of the substation area is stored, the alarm mode is determined according to the number of smart meter numbers included in the alarm meter number;

[0025] If it is a single-user alarm mode, polling the power outage status of all users in the corresponding cluster according to the cluster number where the alarm signal is located;

[0026] If it is a multi-user alarm mode, the polling range is determined according to the phase number where the alarm signal is located and the feeder number where the alarm signal is located, and the power outage status of the corresponding users is polled according to the determined polling range.

[0027] According to an achievable manner of the present invention, the field information further includes a timestamp, and the polling of the power outage status of all users in the corresponding cluster according to the cluster number where the alarm signal is located includes:

[0028] According to the meter numbers of the smart meters included in the alarm meter numbers, obtaining the sampling signals of each corresponding smart meter in a preset polling period;

[0029] The timestamp when the power level is 0 for the first time is found according to the sampling signal. If the found timestamp and the timestamp in the alarm signal of the same smart meter are in the same sampling period, it is determined that the corresponding user is in a power outage state.

[0030] According to an achievable manner of the present invention, determining the polling range according to the phase number where the alarm signal is located and the feeder number where the alarm signal is located includes:

[0031] According to the phase number of the alarm signal, determining whether there is a smart meter belonging to the same phase among the smart meters that send the alarm signal;

[0032] If so, determine whether the smart meters belonging to the same phase belong to the same feeder according to the feeder number where the alarm signal is located. If so, determine whether all smart electricity meters on the corresponding feeder have sent an alarm signal. If so, all users of the corresponding feeder are polled.

[0033] According to an achievable method of the present invention, the method of determining the power outage status of each user in the area by polling also includes:

[0034] When there is no feeder connection data in the substation area, the power outage status of all users in the corresponding cluster is polled according to the cluster number where the alarm signal is located.

[0035] According to an achievable manner of the present invention, the method further includes:

[0036] Acquiring planned power outage data, wherein the planned power outage data includes a planned power outage range;

[0037] Compare the planned power outage range with the determined power outage range, and if the two ranges are inconsistent, determine the power restoration range according to the comparison result;

[0038] Generate an emergency repair work order based on the power restoration scope.

[0039] According to an achievable manner of the present invention, the method further includes:

[0040] The emergency repair work order is displayed through an interface, and / or the emergency repair work order is sent to a corresponding user terminal.

[0041] It can be seen from the above technical solutions that the present invention has the following advantages:

[0042] The present invention divides users in an area into multiple clusters through a clustering algorithm, calculates the Spearman rank correlation coefficient between all users in the same cluster according to the meter voltage data of each user in the area in the same preset time period, selects the corresponding user with the largest correlation as the characteristic user according to the Spearman rank correlation coefficient, and installs a smart meter for sending an alarm signal when a power outage fault is sent, and then analyzes the power outage status of the distribution transformer and the user according to the alarm signal of the smart meter, so as to determine the power outage range; the present invention can avoid the shortcomings of dispersed users in the area and inaccurate low-voltage wiring information by clustering users in the area; selects characteristic users based on the Spearman rank correlation coefficient and installs smart meters to realize active alarm based on characteristic users, which can effectively reduce costs compared with the method of installing a large number of monitoring devices on the low-voltage side to realize power outage alarm, and performs power outage range analysis based on the alarm signal of the characteristic user, which can improve the accuracy of power outage range analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0044] Figure 1 A flowchart of a method for analyzing power outage range based on user clustering provided by an optional embodiment of the present invention;

[0045] Figure 2 A schematic diagram of a process of performing power outage range analysis using a power outage range analysis method in a scenario where the feeder wiring conditions in a transformer area are known, provided by an optional embodiment of the present invention;

[0046] Figure 3 A schematic diagram of a process for performing power outage range analysis using a power outage range analysis method in a scenario where the feeder wiring conditions in a transformer substation are unknown is provided as an optional embodiment of the present invention. DETAILED DESCRIPTION

[0047] The embodiment of the present invention provides a method for analyzing the scope of power outage based on user clustering, which is used to solve the technical problems of high cost and low accuracy of the existing method for analyzing the scope of power outage.

[0048] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] The invention provides a method for analyzing power outage range based on user clustering.

[0050] See also Figure 1 , Figure 1 A flow chart of a method for analyzing power outage range based on user clustering provided by an embodiment of the present invention is shown.

[0051] An embodiment of the present invention provides a method for analyzing power outage range based on user clustering, comprising the following steps S1-S3.

[0052] Step S1: divide users in the station area into multiple clusters by using a clustering algorithm.

[0053] In one achievable manner, the clustering algorithm is used to divide the users in the station area into a plurality of clusters, including:

[0054] Obtain location data of users in the area;

[0055] Based on the location data, the K-modes clustering algorithm is used to cluster the users in the station area.

[0056] K-modes is an extension of K-means and is applicable to datasets with discrete attributes. Given a dataset with multiple objects, randomly divide the dataset into several clusters. The division process must meet the following conditions at the same time:

[0057] Each family contains at least one object;

[0058] Each object must belong to one and only one cluster;

[0059] The clustering purpose is achieved by continuously changing the cluster center until the objective function no longer changes.

[0060] The process of clustering users in the substation area using the K-modes clustering algorithm includes:

[0061] Randomly determine k objects in the location data as initial center points, where k represents the number of clusters and k is less than the number of users N;

[0062] Compare the number of different attributes between the test object and the center point of each class (Euclidean distance), and assign the test object to the class closest to it by the following formula:

[0063]

[0064] In the formula, dis(m l ,e i ) is the test object e i With cluster center m l The Euclidean distance, dis(m h ,e i ) is the test object e i With cluster center m h The Euclidean distance; if e i Belong to m l is the class center point, then ω li =1, otherwise ω li =0;

[0065] Re-adjust the cluster centers, usually choosing the mode of all objects in each class. If there are multiple modes, randomly select one.

[0066] Repeat the comparison step and the cluster center adjustment step until the objective function no longer changes.

[0067] It should be noted that the present invention can also cluster users in a station area based on other clustering algorithms such as K-means, fuzzy clustering, etc.

[0068] The above-mentioned embodiment of the present invention can avoid the disadvantages of dispersed users in the substation area and inaccurate low-voltage wiring information by clustering the users in the substation area.

[0069] Step S2, obtaining the meter voltage data of each user in the substation in the same preset time period, calculating the Spearman rank correlation coefficient between all users in the same cluster based on the meter voltage data, selecting the corresponding user with the largest correlation as the feature user based on the Spearman rank correlation coefficient, and installing smart meters for sending alarm signals when a power outage is detected on the high-voltage side and low-voltage side of the distribution transformer in the substation and at the feature user.

[0070] The Spearman rank correlation coefficient is used to estimate the correlation between two variables X and Y, where the correlation between variables can be described by a monotonic function. If there are no two identical elements in the two sets of values ​​of the two variables, then when one of the variables can be expressed as a good monotonic function of the other variable (that is, the two variables have the same changing trend), the correlation coefficient between the two variables can reach +1 or -1.

[0071] In one achievable manner, the calculating the Spearman rank correlation coefficient between all users in the same cluster according to the meter voltage data includes:

[0072] Assume that the meter voltage data of user X and user Y in the same cluster in the same preset time period are x = {x1, x2, ..., x n}、y={y1,y2,…,y n}, the Spearman rank correlation coefficient between user X and user Y is calculated using the following formula:

[0073]

[0074] In the formula, ρ represents the Spearman rank correlation coefficient, d i =x i -y i , x i For x = {x1, x2, …, x n}, the i-th data, y i For y = {y1, y2, …, y n} the i-th data in .

[0075] The preset time period may be 60 moments in a day, or the sum of other moments. The specific setting is determined according to the actual situation, based on the principle of best expressing the correlation between the electric meters.

[0076] In the special case where the cluster contains only 2 users, a feature user can be randomly selected from them. In the case where the cluster contains 3 or more users, the corresponding user with the largest correlation is selected as the feature user according to the Spearman rank correlation coefficient.

[0077] It should be noted that, in other achievable methods, when a cluster contains three or more users, corresponding users whose Spearman rank correlation coefficient values ​​are greater than a set value may also be selected as feature users.

[0078] In the above-mentioned embodiments of the present invention, smart meters are installed for characteristic users on the basis of user clustering, thereby realizing the deployment of active power outage alarm devices at the local user level; in the practical deployment of power outage alarms in substations, full consideration is given to the hierarchical relationship of substations, and smart meters are installed on the high-voltage side of transformers, thereby realizing the deployment of active power outage alarm devices at the substation level. In the practical deployment of alarms at the branch level, full consideration is given to the front-and-back connection relationship of each feeder, and smart meters are installed on the low-voltage side of the transformer, thereby realizing the deployment of active power outage alarm devices at the branch level. When a power outage occurs, the smart meters at the relevant deployment locations send an alarm signal to the main station, thereby realizing active alarms based on characteristic users.

[0079] Step S3, analyzing the power outage status of the distribution transformer and the user according to the alarm signal of the smart meter, and determining the power outage scope according to the analysis result.

[0080] In one achievable manner, analyzing the power outage status of the distribution transformer and the user according to the alarm signal of the smart meter, and determining the power outage scope according to the analysis result, includes:

[0081] Parsing the alarm signal to obtain field information of the alarm signal, the field information including the alarm meter number, the high-voltage side status value of the distribution transformer, and the low-voltage side status value of the distribution transformer;

[0082] Determine whether it is a distribution transformer high-voltage side alarm according to the distribution transformer high-voltage side state value;

[0083] If the alarm is on the high-voltage side of the distribution transformer, when the alarm meter number contains the meter numbers of all smart meters, the power outage range is determined to be the entire substation area, otherwise it is regarded as a false alarm of the alarm device on the high-voltage side of the distribution transformer;

[0084] If it is not an alarm on the high-voltage side of the distribution transformer, determine whether it is an alarm on the low-voltage side of the distribution transformer based on the status value of the low-voltage side of the distribution transformer; if it is an alarm on the low-voltage side of the distribution transformer, when the alarm meter number contains the meter numbers of all smart meters, determine that the power outage range is the entire substation, otherwise it is regarded as a false alarm of the low-voltage side alarm device of the distribution transformer; if it is not an alarm on the low-voltage side of the distribution transformer, use polling to determine the power outage status of each user in the substation.

[0085] In an achievable manner, the field information further includes the phase number where the alarm signal is located, the cluster number where the alarm signal is located, and the feeder number where the alarm signal is located; the method of determining the power outage status of each user in the substation area by polling includes:

[0086] When the feeder connection data of the substation area is stored, the alarm mode is determined according to the number of smart meter numbers included in the alarm meter number;

[0087] If it is a single-user alarm mode, polling the power outage status of all users in the corresponding cluster according to the cluster number where the alarm signal is located;

[0088] If it is a multi-user alarm mode, the polling range is determined according to the phase number where the alarm signal is located and the feeder number where the alarm signal is located, and the power outage status of the corresponding users is polled according to the determined polling range.

[0089] In an achievable manner, the field information further includes a timestamp, and the polling of the power outage status of all users in the corresponding cluster according to the cluster number where the alarm signal is located includes:

[0090] According to the meter numbers of the smart meters included in the alarm meter numbers, obtaining the sampling signals of each corresponding smart meter in a preset polling period;

[0091] The timestamp when the power level is 0 for the first time is found according to the sampling signal. If the found timestamp and the timestamp in the alarm signal of the same smart meter are in the same sampling period, it is determined that the corresponding user is in a power outage state.

[0092] In an achievable manner, determining the polling range according to the phase number where the alarm signal is located and the feeder number where the alarm signal is located includes:

[0093] According to the phase number of the alarm signal, determining whether there is a smart meter belonging to the same phase among the smart meters that send the alarm signal;

[0094] If so, determine whether the smart meters belonging to the same phase belong to the same feeder according to the feeder number where the alarm signal is located. If so, determine whether all smart electricity meters on the corresponding feeder have sent an alarm signal. If so, all users of the corresponding feeder are polled.

[0095] In one achievable manner, the method of determining the power outage status of each user in the area by polling also includes:

[0096] When there is no feeder connection data in the substation area, the power outage status of all users in the corresponding cluster is polled according to the cluster number where the alarm signal is located.

[0097] The above embodiment of the present invention realizes the operation of hierarchical power outage alarm for substations / branches / local users based on characteristic user alarms and cluster user polling by optimizing the matching of active power outage alarms for characteristic users and cluster user polling, which can improve the accuracy of power outage range analysis. The power outage alarm operation method can be applied to various substations to determine the power outage range and restore power to the power outage users.

[0098] In one implementation, the method further includes:

[0099] Acquiring planned power outage data, wherein the planned power outage data includes a planned power outage range;

[0100] Compare the planned power outage range with the determined power outage range, and if the two ranges are inconsistent, determine the power restoration range according to the comparison result;

[0101] Generate an emergency repair work order based on the power restoration scope.

[0102] In one implementation, the method further includes:

[0103] The emergency repair work order is displayed through an interface, and / or the emergency repair work order is sent to a corresponding user terminal.

[0104] The following describes step S3 and the process of the power-on recovery operation using a specific embodiment.

[0105] When a fault occurs in the substation, the installed smart meter will send an alarm signal and transmit it to the computer terminal. The alarm signal received by the computer terminal includes the following field information:

[0106] Time_stamp, Alarm_meter_number, Status_signal, Phase_number, Cluster_number, Feeder_number, Voltage_status_High, Voltage_status_Low.

[0107] Status_signal is composed of "0, 1, 2", "0" means normal, "1" means power outage, and "2" means the meter is powered on;

[0108] Voltage_status_High and Voltage_status_Low are composed of "0, 1", "0" means no alarm, and "1" means alarm;

[0109] Phase_number is composed of "1, 2, 3", "1" means the alarm signal is on the A phase line, "2" means the alarm signal is on the B phase, and "3" means the alarm signal is on the C phase.

[0110] The above field information is defined as follows:

[0111] Time_stamp: timestamp;

[0112] Alarm_meter_number: alarm meter number;

[0113] Status_signal: status signal;

[0114] Voltage_status_High: Status of the high voltage side of the distribution transformer;

[0115] Voltage_status_Low: Status of the low voltage side of the distribution transformer;

[0116] Phase_number: the phase number where the alarm signal is located;

[0117] Cluster_number: the cluster number where the alarm signal is located;

[0118] Feeder_number: the feeder number where the alarm signal is located;

[0119] The timestamp of the smart meter is set to 5 minutes as a sampling point. Due to the lack or inaccuracy of low-voltage wiring information in the substation area, the power outage range of the substation area can be determined in two scenarios: the substation area feeder wiring situation is known and the substation area feeder wiring situation is unknown.

[0120] like Figure 2 As shown in the figure, in the scenario where the feeder wiring conditions in the substation area are known, the power outage scope analysis and power restoration process includes the following steps:

[0121] (1) After the smart terminal displays the alarm signal, first check the Voltage_status_High field value. If the Voltage_status_High field value is displayed as "1", it means that the high-voltage side of the distribution transformer is alarmed. Then check whether the Alarm_meter_number field value in the time period contains the meter numbers of all smart meters. If the Alarm_meter_number field value contains the meter numbers of all smart meters, it can be determined that it is a district-level power outage.

[0122] After obtaining the scope of the power outage, determine whether it is a planned power outage at the substation level. If it is a planned power outage, cancel the alarm; if it is an unplanned power outage, arrange staff to carry out emergency repairs.

[0123] After the intelligent terminal determines the scope of the power outage, the system automatically generates a corresponding emergency repair work order. The emergency repair work order contains information such as the work order number, fault time, fault type, fault address and work order status (status includes unprocessed, assigned and completed). For the generated unprocessed work orders, the staff can process the work orders, dispatch emergency repair personnel to the power outage location, and send the work order information to the emergency repair personnel via text messages. At the same time, the details of the work order can also be viewed, including the number of people affected by the power outage work order, the substation to which it belongs, etc.

[0124] (2) If the Voltage_status_High field value is "1" and the Alarm_meter_number field value does not display any meter number during the time period, it is judged that the alarm device on the high-voltage side of the distribution transformer is a false alarm. At this time, the power outage alarm module personnel are arranged to carry out maintenance; if the Voltage_status_High field value is "1" and the Alarm_meter_number field value displays some meter numbers during the time period, it is also judged that the alarm device on the high-voltage side of the distribution transformer is a false alarm. The power outage alarm module personnel are arranged to carry out maintenance.

[0125] (3) If the Voltage_status_High field value is displayed as "0", it means that there is no alarm on the high-voltage side of the distribution transformer; check the Voltage_status_Low field value. If the Voltage_status_Low field value is displayed as "1", it means that there is an alarm on the low-voltage side of the distribution transformer. Similar to the above (1), check whether the Alarm_meter_number field value in this time period contains the meter numbers of all smart meters;

[0126] If the Alarm_meter_number field value contains the meter numbers of all smart meters, it can be determined as a district-level power outage, and the output power outage range is the entire district. First, the power outage range is compared with the planned power outage range. If the power outage range is consistent with the planned power outage range, it is a planned power outage and the alarm is canceled.

[0127] If there is no planned power outage operation or the power outage range is inconsistent with the planned power outage range, the power outage range information is sent, including Alarm_meter_number, Time_stamp, Cluster_number and other information, and the corresponding emergency repair work order is generated to arrange staff for emergency repair.

[0128] After completing the power restoration work, the staff sends a power restoration signal to the computer terminal through the user end. The value of the Status_signal field on the terminal computer is displayed as "2", indicating that the power restoration is completed and the alarm is canceled. If the Alarm_meter_number field value does not display a meter number or displays a partial meter number, it is judged that the alarm device on the low-voltage side of the distribution transformer is a false alarm, and the power outage alarm module personnel are arranged to carry out maintenance.

[0129] (4) If both the Voltage_status_High and Voltage_status_Low field values ​​display "0", check the value of the Alarm_meter_number field. If there is only one number, it is the single-user alarm mode of the substation.

[0130] Check the Cluster_number field value, poll the users in the same cluster as the alarm meter, trace back to the six sampling points of the meter in half an hour, and the sampling points of the polled object and the alarm time do not exceed one minimum cycle. First check whether the polling cluster number and the cluster number where the alarm signal is located are equal, find the first timestamp of zero power, and check whether the first timestamp and the timestamp of the alarm signal are in the same sampling cycle. If the output power is 0 within a cycle, it is a power outage; if it is not within a cycle, it is judged as invalid and transferred to manual troubleshooting. Poll whether all users in the same cluster have a power outage. If all users in the same cluster have a power outage, the output power outage range is all users in the cluster.

[0131] After obtaining the power outage range, compare the power outage range with the planned power outage range. If the power outage range is consistent with the planned power outage range, it is a planned power outage and the alarm is cancelled. If there is no planned power outage operation or the power outage range is inconsistent with the planned power outage range, the power outage range information is sent.

[0132] After the smart terminal receives the power outage information, the system automatically generates a corresponding emergency repair work order. After receiving the emergency repair work order, the power restoration staff will go to the place where the power system failure occurred according to the scheduled repair time and fault location on the fault work order to complete the repair work.

[0133] After completing the power restoration work, the staff sends a power restoration signal to the computer terminal through the user end. The value of the Status_signal field on the terminal computer is displayed as "2", indicating that the power restoration is complete and the alarm is canceled. If the other users in the same cluster have not experienced power outages, it is because the device itself has experienced a power outage or the alarm device has reported a false alarm, and the power outage alarm module personnel are arranged to carry out maintenance.

[0134] (5) If the Voltage_status_High and Voltage_status_Low field values ​​both display "0", check the number of values ​​in the Alarm_meter_number field. If multiple meter numbers appear, it indicates a multi-user alarm mode.

[0135] Check whether the Phase_number field value is the same. If the Phase_number of each alarm signal is different, it means that the alarm signal is in different phases. Check the Cluster_number field value, poll each cluster where the alarm signal is located, and trace back to the six sampling points of each meter in the cluster every half an hour. The sampling point of the polled object and the alarm time do not exceed one minimum cycle. First check whether the polling cluster number and the cluster number where the alarm signal is located are equal, find the first timestamp of zero power, and check whether the first timestamp and the timestamp of the alarm signal are in the same sampling cycle. If the output power is 0 within a cycle, it is a power outage; if it is not within a cycle, it is judged as invalid and transferred to manual troubleshooting. If all the polled meters are out of power, the output power outage range is the users in the same cluster.

[0136] Check whether it is a planned power outage. If it is not a planned power outage, generate a corresponding emergency repair work order and arrange for staff to repair it. After the emergency repair is completed, the meter sends a power restoration completion signal. After the terminal computer receives the signal, the Status_signal field value displays the number "2", indicating that the power restoration is complete and the alarm is cancelled.

[0137] If no user in the same cluster experiences a power outage after polling, it is a false alarm from the alarm device or there is a problem with the user himself, and the power outage alarm module personnel are arranged to perform maintenance.

[0138] (6) In the multi-user alarm mode, check the Phase_number field value. If the Phase_number field value is the same, it means that the alarm meter belongs to the same phase. According to the character segment value, determine which phase A, B, or C the power-off meter is in.

[0139] Then check the Feeder_number field value to determine whether the same-phase alarm signal has the same feeder. If the output Feeder_number field values ​​are different, all alarm meters are on different feeders. Check the Cluster_number value corresponding to each meter according to the Alarm_meter_number field value, poll the users in the same cluster, trace back the six sampling points of all meters, check whether the polling cluster number and the cluster number of the alarm signal are equal, find the first timestamp with zero power, and check whether the first timestamp and the timestamp of the alarm signal are in the same sampling cycle. If the output power is 0 within a cycle, there is a power outage; if it is not within a cycle, it is judged to be invalid, and manual troubleshooting is carried out to determine the scope of the power outage.

[0140] If no user experiences a power outage, it is a false alarm from the alarm device or the user has a problem. In this case, the power outage alarm module personnel will be arranged to perform maintenance.

[0141] (7) If the Feeder_number field value is the same, it means that the alarming meters belong to the same feeder. Then, it is determined whether there is a contradiction in the alarm signal of the same feeder. If in the topology structure, the front user alarms but the back user does not alarm, it is a contradiction.

[0142] If there is a contradiction in the alarm signal of the same feeder, poll all users on the same feeder with the contradictory alarm signal, trace back the six sampling points of all meters, check whether the polling cluster number and the cluster number of the alarm signal are equal, find the first timestamp with zero power, and check whether the first timestamp and the timestamp of the alarm signal are in the same sampling cycle. If the output power is 0 within a cycle, there is a power outage; if it is not within a cycle, it is judged to be invalid, and manual investigation is carried out to determine the scope of the power outage.

[0143] If there is no contradiction in the alarm signals of the same feeder, the users in the same cluster of the alarm signals are polled and the power outage range is output, an emergency repair work order is generated, and staff are arranged to perform emergency repairs until the value of the Status_signal field on the terminal displays the number "2" and the power is restored.

[0144] like Figure 3 As shown in the figure, in the scenario where the feeder wiring situation in the substation is unknown, the power outage scope analysis and power restoration process includes the following steps:

[0145] (1) When the terminal receives an alarm signal, it first checks the value of the Voltage_status_High field. If the Voltage_status_High field value is "1", it indicates an alarm on the high-voltage side of the distribution transformer. Then, it checks whether the value of the Alarm_meter_number field contains the numbers of all smart meters in the time period. If the value of the Alarm_meter_number field contains the numbers of all smart meters, it can be determined to be a district-level power outage, and the output power outage range is the entire district. It is determined whether it is a district-level planned power outage. If it is a planned power outage, the alarm is canceled. If it is an unplanned power outage, after the smart terminal determines the power outage range information, the system automatically generates a corresponding emergency repair work order and arranges staff to repair it.

[0146] (2) If the Voltage_status_High field value is "1" and the Alarm_meter_number field value does not display any meter number during the time period, it is judged that the alarm device on the high-voltage side of the distribution transformer is falsely alarmed; if the Voltage_status_High field value is "1" and the Alarm_meter_number field value displays some meter numbers during the time period, it is also judged that the alarm device on the high-voltage side of the distribution transformer is falsely alarmed, and the power outage alarm module personnel are arranged to carry out maintenance.

[0147] (3) If the Voltage_status_High field value is displayed as "0", it means that there is no alarm on the high-voltage side of the distribution transformer.

[0148] Check the Voltage_status_Low field value. If the Voltage_status_Low field value is displayed as "1", it indicates an alarm on the low-voltage side of the distribution transformer. Check whether the Alarm_meter_number field value contains the numbers of all smart meters during the time period. If the Alarm_meter_number field value contains the numbers of all smart meters, it can be determined as a district-level power outage, and the output power outage range is the entire district. Determine whether it is a planned power outage at the district level. If it is a planned power outage, cancel the alarm.

[0149] If it is an unplanned power outage, arrange staff to carry out emergency repairs; if the Alarm_meter_number field value has no meter number or displays a partial meter number, it is judged that the alarm device on the low-voltage side of the distribution transformer is a false alarm, and arrange power outage alarm module personnel to carry out maintenance.

[0150] (4) If both the Voltage_status_High and Voltage_status_Low field values ​​show "0", check the Cluster_number field value, poll the cluster where the alarm meter is located, check whether the polled cluster number and the alarm signal meter number are equal, find the first timestamp with zero power, and check whether the first timestamp and the timestamp of the alarm signal are in the same sampling cycle. If the power outage with output power of 0 is not in the same cycle within a cycle, it is judged to be invalid and manual troubleshooting is carried out; if all users in the cluster are out of power, the power outage range can be determined and the power outage range information can be sent. After the staff completes the power restoration work, the value of the Status_signal field on the terminal computer is displayed as "2", indicating that the power restoration is complete and the alarm is cancelled.

[0151] It should be noted that the technical solution of the present invention, in essence, or the part that contributes to the prior art, or the whole or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., various media that can store program codes.

[0152] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for analyzing power outage range based on user clustering, characterized in that: include: The users in the area are divided into multiple clusters through clustering algorithm; Obtain the meter voltage data of each user in the substation in the same preset time period, calculate the Spearman rank correlation coefficient between all users in the same cluster according to the meter voltage data, select the corresponding user with the largest correlation as the characteristic user according to the Spearman rank correlation coefficient, and install a smart meter for sending an alarm signal when a power outage fault is sent on the high-voltage side and low-voltage side of the distribution transformer in the substation and at the characteristic user; Analyze the power outage status of the distribution transformer and the user according to the alarm signal of the smart meter, and determine the power outage scope according to the analysis result; The clustering algorithm is used to divide the users in the station area into multiple clusters, including: Obtain location data of users in the area; Based on the location data, the K-modes clustering algorithm is used to cluster the users in the station area.

2. The method for analyzing power outage range based on user clustering according to claim 1, characterized in that: The calculating the Spearman rank correlation coefficient between all users in the same cluster according to the meter voltage data includes: Assume that the meter voltage data of user X and user Y in the same cluster in the same preset time period are x = {x1, x2, ..., x n }、y={y1,y2,…,y n }, the Spearman rank correlation coefficient between user X and user Y is calculated using the following formula: In the formula, ρ represents the Spearman rank correlation coefficient, d i =x i -y i , x i For x = {x1, x2, …, x n }, the i-th data, y i For y = {y1, y2, …, y n } the i-th data in .

3. The method for analyzing power outage range based on user clustering according to claim 1, characterized in that: The analyzing the power outage status of the distribution transformer and the user according to the alarm signal of the smart meter, and determining the power outage scope according to the analysis result, includes: Parsing the alarm signal to obtain field information of the alarm signal, the field information including the alarm meter number, the high-voltage side status value of the distribution transformer, and the low-voltage side status value of the distribution transformer; Determine whether it is a distribution transformer high-voltage side alarm according to the distribution transformer high-voltage side state value; If the alarm is on the high-voltage side of the distribution transformer, when the alarm meter number contains the meter numbers of all smart meters, the power outage range is determined to be the entire substation area, otherwise it is regarded as a false alarm of the alarm device on the high-voltage side of the distribution transformer; If it is not an alarm on the high-voltage side of the distribution transformer, determine whether it is an alarm on the low-voltage side of the distribution transformer based on the status value of the low-voltage side of the distribution transformer; if it is an alarm on the low-voltage side of the distribution transformer, when the alarm meter number contains the meter numbers of all smart meters, determine that the power outage range is the entire substation, otherwise it is regarded as a false alarm of the low-voltage side alarm device of the distribution transformer; if it is not an alarm on the low-voltage side of the distribution transformer, use polling to determine the power outage status of each user in the substation.

4. The method for analyzing power outage range based on user clustering according to claim 3, characterized in that: The field information also includes the phase number where the alarm signal is located, the cluster number where the alarm signal is located, and the feeder number where the alarm signal is located; the method of using polling to determine the power outage status of each user in the substation area includes: When the feeder connection data of the substation area is stored, the alarm mode is determined according to the number of smart meter numbers included in the alarm meter number; If it is a single-user alarm mode, polling the power outage status of all users in the corresponding cluster according to the cluster number where the alarm signal is located; If it is a multi-user alarm mode, the polling range is determined according to the phase number where the alarm signal is located and the feeder number where the alarm signal is located, and the power outage status of the corresponding users is polled according to the determined polling range.

5. The method for analyzing power outage range based on user clustering according to claim 4, characterized in that: The field information also includes a timestamp, and the polling of the power outage status of all users in the corresponding cluster according to the cluster number where the alarm signal is located includes: According to the meter numbers of the smart meters included in the alarm meter numbers, obtaining the sampling signals of each corresponding smart meter in a preset polling period; The timestamp when the power level is 0 for the first time is found according to the sampling signal. If the found timestamp and the timestamp in the alarm signal of the same smart meter are in the same sampling period, it is determined that the corresponding user is in a power outage state.

6. The method for analyzing power outage range based on user clustering according to claim 5, characterized in that: The determining of the polling range according to the phase number where the alarm signal is located and the feeder number where the alarm signal is located includes: According to the phase number of the alarm signal, determining whether there is a smart meter belonging to the same phase among the smart meters that send the alarm signal; If so, determine whether the smart meters belonging to the same phase belong to the same feeder according to the feeder number where the alarm signal is located. If so, determine whether all smart electricity meters on the corresponding feeder have sent an alarm signal. If so, all users of the corresponding feeder are polled.

7. The method for analyzing power outage range based on user clustering according to claim 4, characterized in that: The method of determining the power outage status of each user in the area by polling also includes: When there is no feeder connection data in the substation area, the power outage status of all users in the corresponding cluster is polled according to the cluster number where the alarm signal is located.

8. The method for analyzing power outage range based on user clustering according to any one of claims 1 to 7, characterized in that: The method further comprises: Acquiring planned power outage data, wherein the planned power outage data includes a planned power outage range; Compare the planned power outage range with the determined power outage range, and if the two ranges are inconsistent, determine the power restoration range according to the comparison result; Generate an emergency repair work order based on the power restoration scope.

9. The method for analyzing power outage range based on user clustering according to claim 8, characterized in that: The method further comprises: The emergency repair work order is displayed through an interface, and / or the emergency repair work order is sent to a corresponding user terminal.

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