Power distribution network networking device and method for improving reliability and investment efficiency

Abstract

The invention discloses a power distribution network networking device and method for double improvement of reliability and investment efficiency, and belongs to the technical field of power distribution network networking. An outlier parameter is constructed according to the difference between an estimated value, a voltage value and a power value of an adjacent previous time period and the fluctuation condition of the voltage value and the power value; therefore, the time period with the outlier fluctuation in the numerical value is evaluated, and the defect that the outlier fluctuation is not found out is overcome. According to the decrement condition of the voltage value and the power value of the next time period adjacent to the time period showing the outlier fluctuation and the numerical fluctuation change of the time period showing the outlier fluctuation, the number of the numerical fluctuation time periods formed by unreliability of the transmitter group in the six types and the time distance are finally calculated according to the number of the numerical fluctuation time periods formed by unreliability of the transmitter group in the six types. And the reliable amplitude parameter of the transmitter group is constructed according to the number of the classes, so that the accuracy of the reliability evaluation value of the transmitter group is improved, and therefore, a power distribution network networking system with both reliability and investment efficiency improved is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power distribution network networking, and specifically relates to a power distribution network networking device and method for improving both reliability and investment efficiency. Background Art

[0002] The section of the power system from the step-down distribution substation (high-voltage distribution substation) to the user end is called the distribution system. The distribution system is a power network system composed of a variety of distribution equipment (or components) and distribution facilities that transforms voltage and directly distributes electric energy to end users. The distribution network is composed of overhead lines, poles, cables, distribution transformers, switchgear, reactive power compensation capacitors and other distribution equipment and ancillary facilities. Its main function in the power grid is to distribute electric energy. From the perspective of the nature of the distribution network, the distribution network equipment also includes the distribution device of the substation.

[0003] For the management and control of distribution network networking, the technical solution with patent publication number "CN104751246B" is often used to achieve the management and control of distribution network networking, which includes a voltage transmitter and a power transmitter connected to the controller at the node in the distribution network planning. The voltage transmitter is used to sample the voltage of the node in the distribution network planning and transmit it to the controller. The power transmitter is used to sample the active power of the node connected to the DG in the distribution network planning and transmit it to the controller. The controller is used to finally obtain the network planning result based on the voltage of the node in the distribution network planning, the active power of the node connected to the DG, the investment cost, the distribution line investment cost and other parameters, thereby achieving the distribution network networking planning. Here, the voltage of the node includes the A-phase voltage, the B-phase voltage and the C-phase voltage of the node, and the active power of the node connected to the DG includes the A-phase active power, the B-phase active power and the C-phase active power of the node connected to the DG. The voltage transmitter and the power transmitter constitute a transmitter group.

[0004] However, when the temperature at the node location increases, the components of the transmitter group often malfunction and the sampling work is incorrect, which is not conducive to the accuracy and reliability of the sampling of the transmitter group. Therefore, when the temperature at the node location of the transmitter group is not low, in order to ensure the accuracy of the values ​​transmitted to the controller, it is necessary to regularly evaluate the reliability of the transmitter group.

[0005] Currently, information analysis is often used to perform outlier assessment on the values ​​transmitted to the controller by the transmitter group. When performing outlier assessment on the values ​​transmitted to the controller, the current outlier assessment method often only involves the outliers of a single value corresponding to the overall value, but does not take into account the continuity properties of adjacent values ​​within the sampling time sequence, making the reliability assessment value of the transmitter group inaccurate. Summary of the invention

[0006] In order to solve the defects in the prior art, the present invention proposes a distribution network networking device and method for improving both reliability and investment efficiency. According to the difference between the estimated values ​​and the voltage and power values ​​of the adjacent previous time period, as well as the fluctuation of the voltage and power values, an outlier parameter is constructed to evaluate the time period with outlier fluctuations in the values, thereby overcoming the defect of undetected outlier fluctuations; according to the decrease of the voltage and power values ​​of the subsequent time period adjacent to the time period with outlier fluctuations, as well as the fluctuation change of the values ​​in the time period with outlier fluctuations, it is confirmed that the outlier fluctuation is a transmitter group The numerical trend fluctuations caused by unreliability, or the load changes of the node itself that cause the numerical trend fluctuations of the transmitter group, improve the assessment accuracy of the outlier fluctuations caused by the unreliability of the transmitter group, and finally construct the reliability amplitude parameter of the transmitter group according to the number of time periods and time intervals of the numerical fluctuations caused by the unreliability of the transmitter group under 6 categories and the number of categories it belongs to, which is used to determine the reliability amplitude of the transmitter group, fully considering the continuity properties of adjacent values, and improving the accuracy of the reliability assessment value of the transmitter group. Therefore, a distribution network networking system with improved reliability and investment efficiency is achieved.

[0007] The present invention utilizes the following technical solutions.

[0008] A control method for distribution network networking for improving both reliability and investment efficiency, comprising:

[0009] The voltage transmitter samples the voltage of the node in the distribution network planning and transmits it to the controller. The power transmitter samples the active power of the node connected to the DG in the distribution network planning and transmits it to the controller. The controller finally obtains the network planning result based on the voltage of the node in the distribution network planning, the active power of the node connected to the DG, the investment cost, and the investment cost of the distribution line, thereby achieving the distribution network planning. Here, the node voltage includes the node's A-phase voltage, B-phase voltage and C-phase voltage, and the node's active power connected to the DG includes the node's A-phase active power, B-phase active power and C-phase active power. The voltage transmitter and the power transmitter constitute a transmitter group.

[0010] The control method for distribution network networking for improving both reliability and investment efficiency also includes:

[0011] Step 1: Receive various voltage and power values ​​from the transmitter group;

[0012] Step 2: According to the difference between the estimated values ​​of each time period and the previous time period adjacent to it, the voltage and power values ​​of each time period, and the fluctuation of the voltage and power values ​​of each time period, the numerical outliers of each time period are identified; according to the bell-shaped curve of the numerical outliers of each type in the whole time period, the time period showing outlier fluctuations is selected and defined as outlier time period 1;

[0013] Step 3: Based on the decrease in the voltage and power values ​​of each outlier period and its adjacent subsequent period, as well as the fluctuation of the values ​​of each outlier period 1, combined with the pre-defined confirmation threshold, select the period of value fluctuation caused by the unreliability of the transmitter group, and define it as the outlier period 2;

[0014] Step 4: Determine the reliability of the sensor group based on the number of outlier periods 2 under all classes, the time intervals between each type of outlier period 2, and the number of classes that present outlier period 2.

[0015] Furthermore, in step 1, each category of voltage and power values ​​includes six categories of voltage and power values, namely, phase A voltage, phase B voltage, phase C voltage of the node in the distribution network planning, phase A active power, phase B active power and phase C active power of the node connected to DG.

[0016] Furthermore, in step 1, the controller receives three thousand six types of voltage values ​​and power values ​​sampled by the transmitter group, the six types of voltage values ​​and power values ​​include the A-phase voltage, B-phase voltage, C-phase voltage of the node in the distribution network planning, the A-phase active power, B-phase active power and C-phase active power of the node connected to the DG, the voltage values ​​and power values ​​are arranged in the order of the sampling time points, and the array F is obtained:

[0017]

[0018] The six horizontal rows in the above array are the A-phase voltage, B-phase voltage, C-phase voltage of the node in the distribution network planning sampled by the transmitter group, the A-phase active power, B-phase active power and C-phase active power of the node connected to DG, and the t vertical rows in the array are the 6 voltage values ​​and power values ​​sampled by the transmitter group at each time point, and t is the number of sampling time points.

[0019] Furthermore, in step 2, ten consecutive time points are used as cutting units to cut the voltage and power values ​​sampled by the transmitter group into several numerical time periods according to the order of their corresponding sampling time points, and then the exponential smoothing method is used to calculate the corresponding value of each numerical time period u, which is defined as the estimated value of each time period u.

[0020] Furthermore, in step 2, a numerical outlier parameter is constructed to confirm whether there is an outlier change in the value in the p-th period. Here, the numerical outlier L in the p-th period under the j-th class is j,p The equation is: In the equation, L j,p is the numerical outlier in the pth time period under the jth class, j∈(1,2,3,4,5,6); G p , Gp-1 are the estimates of the pth period and the p-1th period under the jth class respectively; Y p is the mean of the actual quantity in the pth period under the jth class; Y is the voltage and power value in the pth period under the jth class; zg(e p ) and zd(e p ) are the highest and lowest values ​​of all voltage and power values ​​in the pth time period under the jth class respectively; υ is a predefined constant of one;

[0021] Calculate the numerical outliers of all time periods under each category. According to the principle of three times the standard deviation, if the numerical outliers are not in In the range, it is determined that the pth period under the jth class shows outlier fluctuations, and this period is defined as outlier period 1. ν is the average of the numerical outliers of all periods under each class. It is the standard deviation of the numerical outliers for all time periods under each class.

[0022] Further, step 3 specifically includes: constructing an outlier identification confirmation factor parameter, which is used to confirm that the outlier period 1 is caused by the unreliable value trend fluctuation of the transmitter group, or the load change of the node itself causes the value trend fluctuation of the transmitter group, and defining the outlier identification confirmation factor of the j-th class n-th outlier period 1 as Q j,n , the equation is: Within the equation, Q j,n is the outlier identification confirmation factor for the jth class and the nth outlier period; is the average of the reduction queues of voltage and power values ​​in the next period adjacent to the nth outlier period of the jth class; x n It is the reduction queue of voltage and power values ​​in the nth outlier period 1 under the jth class; That is to x n Find the standard deviation; x n is the queue formed by the voltage and power values ​​in the nth outlier period of the jth class; I(e n ) is to find e n The conditional entropy of The Z-score method is used to Perform normalization; φ is a predefined constant.

[0023] Furthermore, step 3 specifically includes: calculating the outlier identification confirmation factor of each outlier period 1, taking the previously defined confirmation threshold t=0.7, and j,n > t, it means that the outlier fluctuation of the j-th class and the n-th outlier period is attributed to the numerical trend fluctuation caused by the unreliable transmitter group; j,nWhen ≤t, it means that the outlier fluctuation of the j-th class and the n-th outlier period is attributed to the load change of the node itself, which causes the value trend of the transmitter group to fluctuate.

[0024] Furthermore, step 3 specifically includes: defining the outlier period 1 whose outlier identification confirmation factor is higher than the pre-defined confirmation threshold as the outlier period 2 of the class to which it belongs, and defining the number of outlier periods 2 under all classes as P.

[0025] Further, in step 4, the reliable amplitude X of the transmitter group is constructed: In the equation, X is the reliable amplitude of the transmitter group; P is the number of outlier periods 2 of the transmitter group under the overall class; M is the number of classes where the outlier period 2 is located; E g 、E g-1 are the starting time points of the g-th and g-1-th outlier period 2 under the entire class respectively;

[0026] If P=0 or P=1, it is in a reliable state; if P≥2, the reliability of the transmitter group when subjected to temperature interference is confirmed based on the value of the reliable amplitude X.

[0027] A distribution network networking device for improving both reliability and investment efficiency, comprising:

[0028] A voltage transmitter and a power transmitter connected to the controller are provided at the nodes in the distribution network planning. The voltage transmitter is used to sample the voltage of the nodes in the distribution network planning and transmit it to the controller. The power transmitter is used to sample the active power of the nodes connected to the DG in the distribution network planning and transmit it to the controller. The controller is used to finally obtain the network planning result according to the voltage of the nodes in the distribution network planning, the active power of the nodes connected to the DG, the investment cost, and the investment cost of the distribution line, thereby achieving the distribution network planning. Here, the voltage of the node includes the A-phase voltage, the B-phase voltage and the C-phase voltage of the node, and the active power of the node connected to the DG includes the A-phase active power, the B-phase active power and the C-phase active power of the node connected to the DG. The voltage transmitter and the power transmitter constitute a transmitter group;

[0029] The modules running on the controller include:

[0030] A receiving module, which is used to receive various voltage values ​​and power values ​​transmitted by the transmitter group;

[0031] A distinguishing module is used to identify the numerical outliers of each time period according to the differences between the estimated values ​​of each time period and the previous time period adjacent to it, and the voltage and power values ​​of each time period, as well as the fluctuations of the voltage and power values ​​of each time period; according to the bell-shaped curve of the numerical outliers of each time period in all time periods, select each time period showing outlier fluctuations and define it as outlier time period 1;

[0032] A change module is used to select various time periods of value fluctuations caused by the unreliability of the transmitter group according to the decrease change of the voltage value and the power value of each outlier time period and the subsequent time period adjacent thereto, as well as the value fluctuation changes of each outlier time period 1, combined with a pre-defined confirmation threshold, and define the time period as the outlier time period 2;

[0033] The identification module is used to identify the reliable amplitude of the transmitter group according to the number of outlier time periods 2 under all categories, the time intervals between various types of outlier time periods 2, and the number of categories presenting outlier time periods 2.

[0034] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0035] According to the difference between the estimated value and the voltage and power value of the previous period, as well as the fluctuation of the voltage and power values, the outlier parameter is constructed to evaluate the period with outlier fluctuations in the value, thus overcoming the defect of undetected outlier fluctuations; according to the decrease of the voltage and power values ​​in the next period adjacent to the period with outlier fluctuations, as well as the fluctuation of the value in the period with outlier fluctuations, it is confirmed that the outlier fluctuation is the fluctuation of the value trend caused by the unreliability of the transmitter group, or the load change of the node itself causes the fluctuation of the value trend of the transmitter group, thus improving the accuracy of the assessment of outlier fluctuations caused by the unreliability of the transmitter group; finally, according to the number of time periods and time intervals of the value fluctuations caused by the unreliability of the transmitter group under 6 categories, and the number of categories in which it belongs, the reliability amplitude parameter of the transmitter group is constructed to determine the reliability amplitude of the transmitter group, fully taking into account the continuity properties of the adjacent values, and improving the accuracy of the reliability assessment value of the transmitter group, thereby achieving a distribution network networking system with both improved reliability and investment efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a partial flow chart of the control method for distribution network networking for improving both reliability and investment efficiency described in the present invention;

[0037] Figure 2 It is a partial structural diagram of the distribution network networking device for improving both reliability and investment efficiency described in the present invention. DETAILED DESCRIPTION

[0038] 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 conjunction with the drawings in the embodiments of the present invention. The embodiments expressed in this application are only some embodiments of the present invention, not all embodiments. 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.

[0039] like Figure 1 As shown, the control method of distribution network networking for improving both reliability and investment efficiency described in the present invention includes:

[0040] The voltage transmitter samples the voltage of the node in the distribution network planning and transmits it to the controller. The power transmitter samples the active power of the node connected to the DG in the distribution network planning and transmits it to the controller. The controller finally obtains the network planning result based on the voltage of the node in the distribution network planning, the active power of the node connected to the DG, the investment cost, the distribution line investment cost and other parameters, thereby achieving the distribution network planning. Here, the node voltage includes the node's A-phase voltage, B-phase voltage and C-phase voltage, and the active power of the node connected to the DG includes the node's A-phase active power, B-phase active power and C-phase active power. The voltage transmitter and the power transmitter constitute a transmitter group; the number of voltage transmitters and power transmitters is 3.

[0041] The control method for distribution network networking for improving both reliability and investment efficiency also includes:

[0042] Step 1: Receive various voltage and power values ​​from the transmitter group;

[0043] In a preferred but non-limiting embodiment of the present invention, in step 1, each category of voltage and power values ​​includes six categories of voltage and power values, namely, phase A voltage, phase B voltage, phase C voltage of the node in the distribution network planning, phase A active power, phase B active power and phase C active power of the node connected to DG.

[0044] In a preferred but non-limiting embodiment of the present invention, in step 1, the controller receives three thousand six types of voltage values ​​and power values ​​sampled by the transmitter group, the six types of voltage values ​​and power values ​​include the A-phase voltage, B-phase voltage, C-phase voltage of the node in the distribution network planning, the A-phase active power, B-phase active power and C-phase active power of the node connected to the DG, the voltage values ​​and power values ​​are arranged in the order of the sampling time points, and the array F is obtained:

[0045]

[0046] The six horizontal rows in the above array are the A-phase voltage, B-phase voltage, C-phase voltage of the node in the distribution network planning sampled by the transmitter group, the A-phase active power, B-phase active power and C-phase active power of the node connected to DG, and the t vertical rows in the array are the 6 voltage values ​​and power values ​​sampled by the transmitter group at each time point. t is the number of sampling time points, and the value of t is three thousand.

[0047] Therefore, the voltage value and power value sampled by the transmitter group can be obtained through the above method.

[0048] Step 2: According to the difference between the estimated values ​​of each time period and the previous time period adjacent to it, the voltage and power values ​​of each time period, and the fluctuation of the voltage and power values ​​of each time period, the numerical outliers of each time period are identified; according to the bell-shaped curve of the numerical outliers of each type in the whole time period, the time period showing outlier fluctuations is selected and defined as outlier time period 1;

[0049] For nodes, because the operation of nodes is often timed, the 6 types of voltage and power values ​​should also be timed, and the time period and starting time of each type are the same. In addition, the 6 voltage and power values ​​transmitted by the transmitter group do not interfere with each other, that is, the high or low value of one type does not interfere with the high or low value of another type.

[0050] When the function of the transmitter group has not been disturbed by temperature, the overall trend of various values ​​is flat; when it is disturbed by temperature, the inductive reactance of the component circuit of the transmitter group often increases, so one or several types of values ​​often tend to increase; in addition, the interference after the temperature increase often causes the components of the transmitter group to malfunction and the sampling work to be incorrect, which is not conducive to the accuracy and reliability of the sampling of the transmitter group. To avoid the temperature causing great errors in the evaluation values ​​of the transmitter group, the reliability of the transmitter group must be detected at the beginning of the temperature disturbance.

[0051] In a preferred but non-restrictive embodiment of the present invention, in step 2, ten consecutive time points (the time points are sampling time points) are used as cutting units to cut the voltage values ​​and power values ​​sampled by the transmitter group into several numerical time periods according to the sequence of their corresponding sampling time points, and then the exponential smoothing method is used to calculate the corresponding values ​​of each numerical time period u, which are defined as estimates of each time period u. The estimated values ​​can obtain estimates of future values ​​based on the values ​​when the voltage values ​​and power values ​​are flat.

[0052] Under normal circumstances, if the voltage and power values ​​sampled by the transmitter group change in trend during the pth period, the estimated and actual values ​​of the pth period will be different, so it can be known that the values ​​in this period are outliers.

[0053] However, the difference between the estimated value and the actual value in the pth period is often not large, which is not enough to identify the difference when the value is flat; and the estimated value will only form a difference with the actual value in the period of trend change. After this period, the estimated value will still be estimated according to the direction of the trend change. At this time, the estimated value and the actual value will be very close, and it is impossible to confirm whether the value is outlier through the difference between the estimated value and the actual value.

[0054] When a value forms an outlier in the pth period, not only will the estimated value and the actual value of this period be different, but the estimated value of the previous period will also be different from the actual value of this period. The highest actual value in the pth period is often higher than the highest value in the previous p-1 periods.

[0055] In a preferred but non-limiting embodiment of the present invention, in step 2, facing the above attributes, a numerical outlier parameter is constructed to confirm whether the value in the p-th time period has an outlier change. Here, the numerical outlier L in the p-th time period under the j-th class is j,p The equation is: In the equation, L j,p is the numerical outlier in the pth time period under the jth class, j∈(1,2,3,4,5,6); G p , G p-1 are the estimates of the pth period and the p-1th period under the jth class respectively; Y p is the mean of the actual quantity in the pth period under the jth class; Y is the voltage and power value in the pth period under the jth class; zg(e p ) and zd(e p ) are respectively the highest and lowest values ​​of all voltage and power values ​​in the p-th time period under the j-th class; υ is a predefined constant of one to avoid the divisor being zero. The value of υ in this application is one percent.

[0056] In |G p -Y p When the value of | is not low, it indicates that the estimated value and the actual value of the pth period under the jth class are not low, which means that the value has a high probability of showing outlier fluctuations in this period; p-1 -Y p When the value of | is not low, it indicates that the estimated value of the p-1th period under the jth class is not lowly different from the actual value of the pth period, which means that the value in this period has a high probability of showing outlier fluctuations; zg(e p ) is higher, zd(e p ) is lower, indicating that the difference between the values ​​of the pth period under the jth class is not low, which means that the values ​​in this period have a high probability of showing outlier fluctuations. j,p The higher the value of , the higher the probability that the p-th period under the j-th class will show outlier fluctuations.

[0057] Calculate the numerical outliers of each class in the entire period, and the numerical outliers of each class in the entire period should be in the form of a bell curve. According to the three-times standard deviation principle, if the numerical outliers are not in In the range, it is determined that the pth period under the jth class shows outlier fluctuations, and this period is defined as outlier period 1. ν is the average of the numerical outliers of all periods under each class. It is the standard deviation of the numerical outliers for all time periods under each class.

[0058] Therefore, the time periods showing outlier fluctuations in each category were obtained through the above method.

[0059] Step 3: Based on the decrease in the voltage and power values ​​of each outlier period and its adjacent subsequent period, as well as the fluctuation of the values ​​of each outlier period 1, combined with the pre-defined confirmation threshold, select the period of value fluctuation caused by the unreliability of the transmitter group, and define it as the outlier period 2;

[0060] The outlier periods obtained above may not be caused by the interference caused by the unreliability of the transmitter group itself, but may often be caused by the load changes of the node itself, so all the outlier periods obtained must be identified one by one.

[0061] The high temperature interference of the components in the transmitter group is formed gradually and cannot be restored. Therefore, the trend change is not drastic at first, but will continue to increase. In the face of load changes in the node itself, the value will fluctuate significantly, and its value will often increase or decrease, and will slowly return to a flat state after the fluctuation.

[0062] In a preferred but non-limiting embodiment of the present invention, step 3 specifically includes: constructing an outlier identification confirmation factor parameter based on the above attributes, which is used to confirm that the outlier period 1 is a fluctuation in the value trend caused by the unreliability of the transmitter group, or the load change of the node itself causes the fluctuation in the value trend of the transmitter group, and defining the outlier identification confirmation factor of the j-th class n-th outlier period 1 as Q j,n , the equation is: Within the equation, Q j,n is the outlier identification confirmation factor for the jth class and the nth outlier period; is the mean of the reduction queue of voltage and power values ​​in the next period adjacent to the nth outlier period of the jth class (the reduction queue is the queue formed by subtracting the previous value from the next value of the voltage and power value in the next period); x nis a reduction queue of voltage and power values ​​in the nth outlier period 1 under the jth class (a reduction queue is a queue formed by subtracting the previous value from each subsequent value of the voltage and power values ​​in the nth outlier period 1 under the jth class); That is to x n Find the standard deviation; x n is the queue formed by the voltage and power values ​​in the nth outlier period of the jth class; I(e n ) is to find e n The conditional entropy of The Z-score method is used to Perform normalization; φ is a predefined constant of two to avoid the divisor being zero, and the value of φ in this application is 1% .

[0063] and The higher the value is, the more the value trend of the n+1th period changes, which means that the outlier fluctuation is more likely to be the value trend fluctuation caused by the unreliable transmitter group; The lower the value of, the lower the fluctuation amplitude of the value of the j-th class in the n-th period is, which means that the outlier fluctuation is more likely to be the fluctuation of the value trend caused by the unreliable transmitter group; I(e n ) is lower, which means that the amplitude of the value fluctuation in the nth period is lower, which means that the outlier fluctuation in this period is more likely to be the value trend fluctuation caused by the unreliable transmitter group, that is, Q j,n The higher it is, the more the outlier fluctuation of the j-th class in the n-th outlier period will be caused by the unreliable value trend fluctuation of the transmitter group.

[0064] In a preferred but non-limiting embodiment of the present invention, step 3 specifically further includes: calculating the outlier identification confirmation factor of each outlier period 1, taking the previously defined confirmation threshold t=0.7, and j,n > t, it means that the outlier fluctuation of the j-th class and the n-th outlier period is attributed to the numerical trend fluctuation caused by the unreliable transmitter group; j,n When ≤t, it means that the outlier fluctuation of the j-th class and the n-th outlier period is attributed to the load change of the node itself, which causes the value trend of the transmitter group to fluctuate.

[0065] In a preferred but non-limiting embodiment of the present invention, step 3 specifically also includes: therefore, outlier period one whose outlier identification confirmation factor is higher than the pre-defined confirmation critical value is defined as outlier period two of the class to which it belongs, and the number of outlier periods two under all classes is defined as P.

[0066] Step 4: Determine the reliability of the sensor group based on the number of outlier periods 2 under all classes, the time intervals between each type of outlier period 2, and the number of classes that present outlier period 2.

[0067] To determine the reliability of a transmitter group, we must first look at whether the value shows fluctuations, and the number of classes showing fluctuations. Then we must consider the time interval between the fluctuations in values ​​between a pair of classes. If the time interval is not small, it means that the transmitter group is slowly affected by temperature interference, which means it is very reliable; if the time interval is small, it means that the transmitter group is easily affected by temperature interference and has poor reliability.

[0068] In a preferred but non-limiting embodiment of the present invention, in step 4, if P=0, it means that the transmitter group does not show value fluctuations caused by temperature interference, which means that the transmitter group is reliable; if P=1, it means that the transmitter group is initially subjected to temperature interference and shows value fluctuations, but the transmitter group is still reliable; if P≥2, it means that the transmitter group shows several value fluctuations, and the reliable amplitude of the transmitter group is constructed accordingly. In the equation, X is the reliable amplitude of the transmitter group; P is the number of outlier periods 2 of the transmitter group under the overall class; M is the number of classes where the outlier period 2 is located; E g 、E g-1 are the starting time points of the g-th and g-1-th outlier period 2 under the entire class respectively;

[0069] The lower the value of P, the lower the number of fluctuations in the value, which means the transmitter group is more reliable. The higher the value, the slower the transmitter group is affected by temperature disturbance and the more reliable its function is; the higher the value of X, the better the reliability of the transmitter group.

[0070] When the g-th outlier period 2 and the g-1-th outlier period 2 are not in the same category, the operation E is not performed. g -E g-1 .

[0071] When evaluating the reliability of a transmitter group, we first need to determine whether the value has been affected by temperature interference based on the number P of outlier periods 2 under the entire class. If P = 0 or P = 1, it means that the transmitter group is not greatly affected by temperature interference and is in a reliable state; if P ≥ 2, the reliability of the transmitter group when it is affected by temperature interference is determined based on the value of the reliability amplitude X.

[0072] like Figure 2 As shown, a distribution network networking device for improving both reliability and investment efficiency of the present invention comprises:

[0073] Voltage transmitters and power transmitters connected to the controller are provided at the nodes in the distribution network planning. The voltage transmitter is used to sample the voltage of the nodes in the distribution network planning and transmit it to the controller. The power transmitter is used to sample the active power of the nodes connected to the DG in the distribution network planning and transmit it to the controller. The controller is used to finally obtain the network planning result based on the voltage of the nodes in the distribution network planning, the active power of the nodes connected to the DG, the investment cost, the distribution line investment cost and other parameters, thereby achieving the distribution network networking planning. Here, the voltage of the node includes the A-phase voltage, the B-phase voltage and the C-phase voltage of the node, and the active power of the node connected to the DG includes the A-phase active power, the B-phase active power and the C-phase active power of the node connected to the DG. The voltage transmitter and the power transmitter constitute a transmitter group; the number of voltage transmitters and power transmitters is 3.

[0074] The modules running on the controller include:

[0075] A receiving module, which is used to receive various voltage values ​​and power values ​​transmitted by the transmitter group;

[0076] A distinguishing module is used to identify the numerical outliers of each time period according to the differences between the estimated values ​​of each time period and the previous time period adjacent to it, and the voltage and power values ​​of each time period, as well as the fluctuations of the voltage and power values ​​of each time period; according to the bell-shaped curve of the numerical outliers of each time period in all time periods, select each time period showing outlier fluctuations and define it as outlier time period 1;

[0077] A change module is used to select various time periods of value fluctuations caused by the unreliability of the transmitter group according to the decrease change of the voltage value and the power value of each outlier time period and the subsequent time period adjacent thereto, as well as the value fluctuation changes of each outlier time period 1, combined with a pre-defined confirmation threshold, and define the time period as the outlier time period 2;

[0078] The identification module is used to identify the reliable amplitude of the transmitter group according to the number of outlier time periods 2 under all categories, the time intervals between various types of outlier time periods 2, and the number of categories presenting outlier time periods 2.

[0079] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0080] According to the difference between the estimated value and the voltage and power value of the previous period, as well as the fluctuation of the voltage and power values, the outlier parameter is constructed to evaluate the period with outlier fluctuations in the value, thus overcoming the defect of undetected outlier fluctuations; according to the decrease of the voltage and power values ​​in the next period adjacent to the period with outlier fluctuations, as well as the fluctuation of the value in the period with outlier fluctuations, it is confirmed that the outlier fluctuation is the fluctuation of the value trend caused by the unreliability of the transmitter group, or the load change of the node itself causes the fluctuation of the value trend of the transmitter group, thus improving the accuracy of the assessment of outlier fluctuations caused by the unreliability of the transmitter group; finally, according to the number of time periods and time intervals of the value fluctuations caused by the unreliability of the transmitter group under 6 categories, and the number of categories in which it belongs, the reliability amplitude parameter of the transmitter group is constructed to determine the reliability amplitude of the transmitter group, fully taking into account the continuity properties of the adjacent values, and improving the accuracy of the reliability assessment value of the transmitter group, thereby achieving a distribution network networking system with both improved reliability and investment efficiency.

[0081] The present disclosure can be a system, method and / or computer program product. The computer program product can include a computer-readable backup medium carrying computer-readable program instructions for causing a processor to implement various aspects of the disclosure.

[0082] The computer readable backup medium can be a tangible network capable of retaining and backing up the instructions used by the instruction execution network. The computer readable backup medium can be, but is not limited to, an electrical backup network, a magnetic backup network, an optical backup network, an electromagnetic backup network, a semiconductor backup network, or any suitable combination of the above. Further examples of computer readable backup media (non-exhaustive list) include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disk read-only memory (HD-ROM), digital versatile disk (DXD), memory stick, floppy disk, mechanically encoded network, such as punch cards or protrusions in grooves with instructions backed up thereon, and any suitable combination of the above. The computer readable backup medium used herein is not to be construed as a transient signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a power line cable), or an electrical signal transmitted through wires.

[0083] The computer readable program instructions expressed herein can be downloaded from the computer readable backup medium to each inference / processing power grid line, or downloaded to an external computer or external backup power grid line through a wireless network, such as the Internet, a local area network, a wide area network and / or a wireless network. The wireless network can include copper transmission cables, power transmission lines, wireless transmission, routers, firewalls, switches, gateway computers and / or edge service devices. The wireless network adapter card or wireless network interface in each inference / processing power grid line receives the computer readable program instructions from the wireless network and forwards the computer readable program instructions for storage in the computer readable backup medium in each inference / processing power grid line.

[0084] The computer program instructions for performing the operations of the present disclosure can be assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, conditional setting values, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Sdaletal A, H++, etc., and conventional procedural programming languages ​​such as "H" language or similar programming languages. The computer-readable program instructions can be executed entirely on the client computer, partially on the client computer, as a separate software package, partially on the client computer and partially on the remote computer, or completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the client computer through any other wireless network, including a local area network (LAb) or a wide area network (WAb), or can be connected to an external computer (just like using an Internet service provider to connect through the Internet). In some embodiments, the electronic circuit is customized by using the status values ​​of computer-readable program instructions, such as a programmable logic circuit, a field programmable gate array (FPGA) or a programmable logic array (PLA), and the electronic circuit can execute computer-readable program instructions to achieve various aspects of the overhead disclosure.

[0085] 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 also 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 included in the protection scope of the claims of the present invention.

Claims

1. A control method for distribution network networking for improving both reliability and investment efficiency, characterized in that: include: The voltage transmitter samples the voltage of the node in the distribution network planning and transmits it to the controller. The power transmitter samples the active power of the node connected to the DG in the distribution network planning and transmits it to the controller. The controller finally obtains the network planning result based on the voltage of the node in the distribution network planning, the active power of the node connected to the DG, the investment cost, and the investment cost of the distribution line, thereby achieving the distribution network planning. Here, the node voltage includes the node's A-phase voltage, B-phase voltage and C-phase voltage, and the node's active power connected to the DG includes the node's A-phase active power, B-phase active power and C-phase active power. The voltage transmitter and the power transmitter constitute a transmitter group. The control method for distribution network networking for improving both reliability and investment efficiency also includes: Step 1: Receive various voltage and power values ​​from the transmitter group; Step 2: According to the difference between the estimated values ​​of each time period and the previous time period adjacent to it, the voltage and power values ​​of each time period, and the fluctuation of the voltage and power values ​​of each time period, the numerical outliers of each time period are identified; according to the bell-shaped curve of the numerical outliers of each type in the whole time period, the time period showing outlier fluctuations is selected and defined as outlier time period 1; Step 3: Based on the decrease in the voltage and power values ​​of each outlier period and its adjacent subsequent period, as well as the fluctuation of the values ​​of each outlier period 1, combined with the pre-defined confirmation threshold, select the period of value fluctuation caused by the unreliability of the transmitter group, and define it as the outlier period 2; Step 4: Determine the reliability of the sensor group based on the number of outlier periods 2 under all classes, the time intervals between each type of outlier period 2, and the number of classes that present outlier period 2.

2. The control method for distribution network networking for improving both reliability and investment efficiency according to claim 1 is characterized in that: In step 1, the voltage and power values ​​of each category include six types of voltage and power values, namely, phase A voltage, phase B voltage, phase C voltage of the node in the distribution network planning, phase A active power, phase B active power and phase C active power of the node connected to DG.

3. The control method for distribution network networking for improving both reliability and investment efficiency according to claim 2 is characterized in that: In step 1, the controller receives 3,000 6 types of voltage and power values ​​from the transmitter group. The 6 types of voltage and power values ​​include the A-phase voltage, B-phase voltage, C-phase voltage of the node in the distribution network planning, the A-phase active power, B-phase active power and C-phase active power of the node connected to the DG. The voltage and power values ​​are arranged in the order of sampling time points to obtain array F: The six horizontal rows in the above array are the A-phase voltage, B-phase voltage, C-phase voltage of the node in the distribution network planning sampled by the transmitter group, the A-phase active power, B-phase active power and C-phase active power of the node connected to DG, and the t vertical rows in the array are the 6 voltage values ​​and power values ​​sampled by the transmitter group at each time point, and t is the number of sampling time points.

4. The control method for distribution network networking for improving both reliability and investment efficiency according to claim 3 is characterized in that: In step 2, ten consecutive time points are used as cutting units to cut the voltage and power values ​​sampled by the transmitter group into several numerical time periods according to the order of their corresponding sampling time points. Then, the exponential smoothing method is used to calculate the corresponding value of each numerical time period u, which is defined as the estimated value of each time period u.

5. The control method for distribution network networking for improving both reliability and investment efficiency according to claim 4 is characterized in that: In step 2, a numerical outlier parameter is constructed to confirm whether there is an outlier change in the value in the p-th period. Here, the numerical outlier L in the p-th period under the j-th class is j,p The equation is: In the equation, L j,p is the numerical outlier in the pth time period under the jth class, j∈(1,2,3,4,5,6); G p , G p-1 are the estimates of the pth period and the p-1th period under the jth class respectively; Y p is the mean of the actual quantity in the pth period under the jth class; Y is the voltage and power value in the pth period under the jth class; zg(e p ) and zd(e p ) are the highest and lowest values ​​of all voltage and power values ​​in the pth time period under the jth class respectively; υ is a predefined constant of one; Calculate the numerical outliers of all time periods under each category. According to the principle of three times the standard deviation, if the numerical outliers are not within In the range, it is determined that the p-th time period under the j-th class presents outlier fluctuations, and this time period is defined as outlier time period 1, ν is the mean of the numerical outliers of all time periods under each class, and ζ is the standard deviation of the numerical outliers of all time periods under each class.

6. The control method for distribution network networking for improving both reliability and investment efficiency according to claim 5 is characterized in that: Step 3 specifically includes: constructing an outlier identification confirmation factor parameter to confirm that the outlier period 1 is caused by the unreliability of the transmitter group, or the load change of the node itself causes the fluctuation of the transmitter group's value trend. Define the outlier identification confirmation factor of the j-th class n-th outlier period 1 as Q j,n , the equation is: Within the equation, Q j,n is the outlier identification confirmation factor for the jth class and the nth outlier period; is the average of the reduction queues of voltage and power values ​​in the next period adjacent to the nth outlier period of the jth class; x n is the reduction queue of voltage and power values ​​in the nth outlier period under the jth class; ζ(x n ) is the right n Find the standard deviation; x n is the queue formed by the voltage and power values ​​in the nth outlier period of the jth class; I(e n ) is to find e n The conditional entropy of The Z-score method is used to Perform normalization; φ is a predefined constant.

7. The control method for distribution network networking for improving both reliability and investment efficiency according to claim 6 is characterized in that: Step 3 specifically includes: calculating the outlier identification confirmation factor of each outlier period, taking the previously defined confirmation threshold t=0.7, and j,n > t, it means that the outlier fluctuation of the j-th class and the n-th outlier period is attributed to the numerical trend fluctuation caused by the unreliable transmitter group; j,n When ≤t, it means that the outlier fluctuation of the j-th class and the n-th outlier period is attributed to the load change of the node itself, which causes the value trend of the transmitter group to fluctuate.

8. The control method for distribution network networking for improving both reliability and investment efficiency according to claim 7 is characterized in that: Step 3 specifically also includes: defining the outlier period 1 whose outlier identification confirmation factor is higher than the pre-defined confirmation threshold as the outlier period 2 of the class to which it belongs, and defining the number of outlier periods 2 under all classes as P.

9. The control method for distribution network networking for improving both reliability and investment efficiency according to claim 8, characterized in that: In step 4, the reliable amplitude X of the transmitter group is constructed: In the equation, X is the reliable amplitude of the transmitter group; P is the number of outlier periods 2 of the transmitter group under the overall class; M is the number of classes where the outlier period 2 is located; E g 、E g-1 are the starting time points of the g-th and g-1-th outlier period 2 under the entire class respectively; If P=0 or P=1, it is in a reliable state; if P≥2, the reliability of the transmitter group when subjected to temperature interference is confirmed based on the value of the reliable amplitude X.

10. A distribution network networking device for improving both reliability and investment efficiency, characterized in that: include: A voltage transmitter and a power transmitter connected to the controller are provided at the nodes in the distribution network planning. The voltage transmitter is used to sample the voltage of the nodes in the distribution network planning and transmit it to the controller. The power transmitter is used to sample the active power of the nodes connected to the DG in the distribution network planning and transmit it to the controller. The controller is used to finally obtain the network planning result according to the voltage of the nodes in the distribution network planning, the active power of the nodes connected to the DG, the investment cost, and the investment cost of the distribution line, thereby achieving the distribution network planning. Here, the voltage of the node includes the A-phase voltage, the B-phase voltage and the C-phase voltage of the node, and the active power of the node connected to the DG includes the A-phase active power, the B-phase active power and the C-phase active power of the node connected to the DG. The voltage transmitter and the power transmitter constitute a transmitter group; The modules running on the controller include: A receiving module, which is used to receive various voltage values ​​and power values ​​transmitted by the transmitter group; A distinguishing module is used to identify the numerical outliers of each time period according to the differences between the estimated values ​​of each time period and the previous time period adjacent to it, and the voltage and power values ​​of each time period, as well as the fluctuations of the voltage and power values ​​of each time period; according to the bell-shaped curve of the numerical outliers of each time period in all time periods, select each time period showing outlier fluctuations and define it as outlier time period 1; A change module is used to select various time periods of value fluctuations caused by the unreliability of the transmitter group according to the decrease change of the voltage value and the power value of each outlier time period and the subsequent time period adjacent thereto, as well as the value fluctuation changes of each outlier time period 1, combined with a pre-defined confirmation threshold, and define the time period as the outlier time period 2; The identification module is used to identify the reliable amplitude of the transmitter group according to the number of outlier time periods 2 under all categories, the time intervals between various types of outlier time periods 2, and the number of categories presenting outlier time periods 2.

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