Distribution network device and method for improving reliability and investment efficiency

Abstract

A power distribution network networking device and method for improving reliability and investment efficiency, belonging to the technical field of power distribution network networking, according to the difference between the estimated value and the voltage value and the power value of the adjacent last period, and the fluctuation of the voltage value and the power value, an outlier parameter is constructed, so that the period with outlier fluctuation in the value is evaluated out, overcoming the defect that the outlier fluctuation is not found; according to the reduction condition of the voltage value and the power value of the adjacent next period when the outlier fluctuation period appears, and the numerical fluctuation change of the outlier fluctuation period, finally according to the number, time interval and the number of the class of the numerical fluctuation period formed by the unreliable transmitter group under 6 classes, the reliable amplitude parameter of the transmitter group is constructed, the accuracy of the reliability evaluation value of the transmitter group is improved, and the power distribution network networking system with improved reliability and investment efficiency is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of distribution network networking, and specifically relates to a 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 end user is called the distribution system. A distribution system is a power network system composed of various distribution equipment (or components) and distribution facilities that transform voltage and distribute electricity directly to end users. The distribution network consists of overhead lines, towers, cables, distribution transformers, switchgear, reactive power compensation capacitors, and other distribution equipment and ancillary facilities. Its primary function in the power grid is to distribute electrical energy. From the perspective of the nature of the distribution network, distribution network equipment also includes the distribution equipment at the substation.

[0003] Regarding the management and control of distribution network networking, it includes voltage transmitters and power transmitters connected to the controller 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 results based on parameters such as 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 distribution line investment cost, thereby achieving the distribution network networking 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 the 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, the reliability of the transmitter group must be evaluated regularly.

[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, resulting in inaccurate reliability assessment values ​​of the transmitter group. 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. Finally, 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, the reliability amplitude parameters of the transmitter group are constructed together with the number of categories it belongs to, which is used to determine the reliability amplitude of the transmitter group, fully taking into account the continuity properties of adjacent values, and improving the accuracy of the reliability assessment value of the transmitter group. Based on this, a distribution network networking system with both 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 nodes in the distribution network planning and transmits it to the controller. The power transmitter samples the active power of the nodes 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 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 node voltage includes the node's phase A voltage, phase B voltage, and phase C voltage, and the active power of the node connected to the DG includes the node's phase A active power, phase B active power, and phase C active power. The voltage transmitter and power transmitter constitute the transmitter group;

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

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

[0012] Step 2: Determine the numerical outliers of each time period based on the differences between the estimated values ​​of each time period and the previous time period, as well as the voltage and power values ​​of each time period, and the fluctuations of the voltage and power values ​​of each time period; select the time period showing outlier fluctuations based on the bell-shaped curve of the numerical outliers of each time period in all time periods and define it as outlier time period 1;

[0013] Step 3: Based on the decrease in voltage and power values ​​during each outlier period and the period immediately following it, as well as the fluctuations in the values ​​during each outlier period 1, and combined with a pre-defined validation threshold, select the periods of value fluctuations caused by transmitter group unreliability and define them as outlier periods 2.

[0014] Step 4: Determine the reliability of the transmitter 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 exhibit outlier periods 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 the DG.

[0016] Furthermore, in step 1, the controller receives 3,000 six types of voltage and power values ​​sampled from the transmitter group. The six types of voltage and power values ​​include the A-phase voltage, B-phase voltage, and C-phase voltage of the nodes in the distribution network planning, and the A-phase active power, B-phase active power, and C-phase active power of the nodes connected to the DG. The voltage and power values ​​are arranged in the order of sampling time points to obtain array F:

[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, and the A-phase active power, B-phase active power, and C-phase active power of the node connected to the DG, sampled by the transmitter group. The t vertical rows in the array are the six voltage and power values ​​sampled by the transmitter group at each time point, where 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. 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 the value in the p-th period has an outlier change. 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 p-th period under the j-th class, j∈(1,2,3,4,5,6); G p , G p-1are the estimates of the p-th period and the p-1-th period under the j-th 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 voltage and power in the p-th time period under the j-th 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 within In the range, it is determined that the p-th period under the j-th class shows outlier fluctuations, and this period is defined as outlier period 1. ν is the mean of the numerical outlier value of all periods under each class. is the standard deviation of the outliers in all time periods under each class.

[0022] Furthermore, 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, 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 decreasing queues of voltage and power values ​​in the next period adjacent to the nth outlier period of the jth class; x n+1 It is the decreasing queue of voltage and power values ​​in the next period adjacent to the nth outlier period of the jth class; It's x n Find the standard deviation; x n is the queue formed by the voltage and power values ​​of the j-th class in the n-th outlier period; 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 pre-defined confirmation threshold t=0.7, and j,n > t, it means that the outlier fluctuation of the j-th class 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.

[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 in all classes as P.

[0025] Furthermore, in step 4, the reliable amplitude X of the transmitter group is constructed: In the equation, X is the reliability amplitude of the transmitter group; P is the number of outlier period 2 of the transmitter group under the overall class; M is the number of classes in which the outlier period 2 is located; E g 、E g-1 are the starting time points of the gth and g-1th 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] At the nodes in the distribution network planning, there are voltage transmitters and power transmitters connected to the controller. 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 respectively 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, and the distribution line investment cost, thereby achieving the distribution network networking 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.

[0029] The modules running on the controller include:

[0030] The receiving module is used to receive various voltage and power values ​​from the transmitter group;

[0031] a distinguishing module for identifying numerical outliers for each time period based on the differences between the estimated values ​​of each time period and the previous time period adjacent thereto, and the voltage and power values ​​for each time period, as well as the fluctuations of the voltage and power values ​​for each time period; and selecting each time period showing outlier fluctuations based on the bell-shaped curve of the numerical outliers for all time periods, and defining it as outlier time period 1;

[0032] A change module is used to select the time period of value fluctuation caused by the unreliability of the transmitter group based on the decrease in voltage and power values ​​during each outlier period and the subsequent period, as well as the value fluctuation of each outlier period 1, in combination with a pre-defined confirmation threshold, and define the time period as the outlier period 2.

[0033] The identification module is used to identify the reliable amplitude of the transmitter 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 presenting outlier period 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] Based on the difference between the estimated values ​​and the voltage and power values ​​of the previous period, as well as the fluctuations of the voltage and power values, an outlier parameter is constructed to evaluate the period with outlier fluctuations in the values, overcoming the defect of undetected outlier fluctuations; based on the decrease of the voltage and power values ​​in the subsequent period adjacent to the period with outlier fluctuations, as well as the fluctuation of the values ​​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, thereby improving the accuracy of the assessment of outlier fluctuations caused by the unreliability of the transmitter group; finally, based on 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 it belongs to, 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. Based on this, a distribution network networking system with both improved reliability and investment efficiency is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This 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] To make the purpose, technical solutions and advantages of the present invention more clear, the following will be combined with the drawings in the embodiments of the present invention to clearly and completely express the technical solutions of the present invention. The embodiments expressed in this application are only some embodiments of the present invention, not all embodiments. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without making creative work are all within the scope of protection of the present invention.

[0039] like Figure 1 As shown, the control method for distribution network networking for improving both reliability and investment efficiency according to 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 parameters such as 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 phase A voltage, phase B voltage, and phase C voltage, and the active power of the node connected to the DG includes the node's phase A active power, phase B active power, and phase C active power. The voltage transmitter and the power transmitter constitute the transmitter group; the number of voltage transmitters and power transmitters is 3.

[0041] The control method for distribution network networking aimed at 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, the voltage values ​​and power values ​​of each category include six categories of voltage values ​​and power values, namely, the A-phase voltage, the B-phase voltage, the C-phase voltage of the node in the distribution network planning, the A-phase active power, the B-phase active power, and the C-phase active power of the node connected to the DG.

[0044] In a preferred but non-limiting embodiment of the present invention, in step 1, the controller receives 3,000 six types of voltage and power values ​​sampled by the transmitter group. The six types of voltage and power values ​​include the A-phase voltage, B-phase voltage, and C-phase voltage of the node in the distribution network planning, and 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 an array F:

[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, and the A-phase active power, B-phase active power and C-phase active power of the node connected to the DG. The t vertical rows in the array are the six 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 and power values ​​sampled by the transmitter group can be obtained through the above method.

[0048] Step 2: Determine the numerical outliers of each time period based on the differences between the estimated values ​​of each time period and the previous time period, as well as the voltage and power values ​​of each time period, and the fluctuations of the voltage and power values ​​of each time period; select the time period showing outlier fluctuations based on the bell-shaped curve of the numerical outliers of each time period in all time periods and define it as outlier time period 1;

[0049] For nodes, since the operation of nodes is often timed, the six 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 six 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 is often increased, so one or several types of values ​​often have an increasing trend; in addition, the interference after the temperature increase often makes the components of the transmitter group malfunction and the sampling work incorrect, which is not conducive to the accuracy and reliability of the sampling of the transmitter group. To avoid the temperature causing huge errors in the evaluation values ​​of the transmitter group, the reliability of the transmitter group must be detected at the beginning of the transmitter group being disturbed by temperature.

[0051] In a preferred but non-limiting embodiment of the present invention, in step 2, ten consecutive time points (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 order of their corresponding sampling time points. 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 be used to obtain estimates of future values ​​based on the values ​​when the voltage 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 p-th period, the estimated and actual values ​​during the p-th period will differ, indicating that the values ​​during that 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 p-th period, not only will the estimated value and the actual value of that period be different, but the estimated value of the previous period will also be different from the actual value of that period. The highest actual value in the p-th 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 for 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 p-th period under the j-th class, j∈(1,2,3,4,5,6); G p , G p-1 are the estimates of the p-th period and the p-1-th period under the j-th 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 p-th time period under the j-th class respectively; υ is a predefined constant of one to avoid the divisor being zero. In this application, the value of υ 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 p-th period under the j-th class are not low, which means that the value has a high probability of showing outlier fluctuations in this period; when |G 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 low 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 p-th period under the j-th 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 principle of three times the standard deviation, if the numerical outliers are not in In the range, it is determined that the p-th period under the j-th class shows outlier fluctuations, and this period is defined as outlier period 1. ν is the mean of the numerical outlier value of all periods under each class. is the standard deviation of the outliers in 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 voltage and power values ​​during each outlier period and the period immediately following it, as well as the fluctuations in the values ​​during each outlier period 1, and combined with a pre-defined validation threshold, select the periods of value fluctuations caused by transmitter group unreliability and define them as outlier periods 2.

[0060] The periods of outlier fluctuations obtained above are not necessarily due to interference caused by the unreliability of the transmitter group itself, but are often due to load changes in the node itself, causing the values ​​to become outliers. Therefore, all the outlier periods obtained must be identified one after another.

[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 the load changes of 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 whether 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 decreasing queue of voltage and power values ​​in the next period adjacent to the nth outlier period of the jth class (the decreasing queue is the queue formed by subtracting the previous value from the next value of the voltage and power values ​​in the next period); x n is a decrement queue of the voltage and power values ​​in the nth outlier period under the jth class (a decrement queue is a queue formed by subtracting the previous value from the next value of the voltage and power values ​​in the nth outlier period under the jth class); It's x n Find the standard deviation; x n+1 is the decreasing queue of voltage and power values ​​in the next period adjacent to 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 Normalization is performed; φ is a predefined constant of two to avoid the divisor being zero. In this application, the value of φ is 1%.

[0063] and The higher the value is, the more likely the value trend of the n+1th period is to fluctuate. This means that the outlier fluctuation is more likely to be caused by the unreliability of the transmitter group. The lower the value of , the lower the amplitude of the numerical fluctuation of the j-th class in the n-th period is, which means that the outlier fluctuation is more likely to be the numerical trend fluctuation caused by the unreliability of the transmitter group; I(e n ) is lower, which means 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 fluctuations in the j-th class and the n-th outlier period will be caused by the unreliable value trend fluctuations 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 pre-defined confirmation threshold t=0.7, and j,n > t, it means that the outlier fluctuation of the j-th class 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, defining the outlier period one whose outlier identification confirmation factor is higher than the pre-defined confirmation critical value as the outlier period two of the class to which it belongs, and defining the number of outlier periods two under all classes as P.

[0066] Step 4: Determine the reliability of the transmitter 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 exhibit outlier periods 2.

[0067] To determine the reliability of a transmitter group, we must first look at whether the value shows fluctuations, as well as the number of classes showing fluctuations. Then we must also consider the time interval between the fluctuations in the values ​​of 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 the preferred but non-limiting embodiment of the present application, in step 4, if P=0, it means that the transmitter group does not present value fluctuation caused by temperature interference, meaning that the transmitter group is reliable; if P=1, it means that the transmitter group initially suffers from temperature interference and presents value fluctuation, but the transmitter group is still reliable; if P≥2, it means that the transmitter group presents several times of value fluctuation, and the reliable amplitude X of the transmitter group is constructed according to this: In the equation, X is the reliable amplitude of the transmitter group; P is the number of the second outlier periods in the whole class; M is the number of the class where the second outlier period is located; E g , E g-1 are the starting time points of the gth and the (g-1)th second outlier periods in the whole class, respectively.

[0069] The lower the value of P is, the lower the number of the presented value fluctuation is, meaning that the transmitter group is more reliable, The higher the value of P is, the slower the transmitter group is interfered by temperature, and the function is more reliable; the higher the value of X is, the better the reliability of the transmitter group is.

[0070] And when the gth second outlier period and the (g-1)th second outlier period are not in a class, the operation E g -E g-1 is not performed.

[0071] In the evaluation of the reliability of a transmitter group, initially, the value of the number P of the second outlier periods in the whole class is used to confirm whether the value is interfered by temperature. If P=0 or P=1, it means that the transmitter group is not greatly interfered by temperature and is in a reliable state; if P≥2, the reliability of the transmitter group when it is interfered by temperature is confirmed according to the value of the reliable amplitude X.

[0072] As shown in Figure 2 , a power distribution network networking device for improving reliability and investment efficiency, provided by the present application, comprises:

[0073] The voltage transducer and the power transducer connected with the controller are arranged at the node in the power distribution network planning, the voltage transducer is used for sampling the voltage of the node in the power distribution network planning and transmitting to the controller, the power transducer is used for sampling the active power of the node in the power distribution network planning respectively and transmitting to the controller, the controller is used for finally obtaining the network planning result according to the voltage of the node in the power distribution network planning, the active power of the node in the power distribution network planning, the investment cost, the power line investment cost and other parameters, so that the power distribution network networking planning is achieved, wherein the voltage of the node includes the A-phase voltage, the B-phase voltage and the C-phase voltage of the node, the active power of the node in the power distribution network planning includes the A-phase active power, the B-phase active power and the C-phase active power of the node in the power distribution network planning, and the voltage transducer and the power transducer constitute a transducer group; the number of the voltage transducer and the power transducer is three.

[0074] The module running on the controller comprises:

[0075] The collection module is used for collecting the voltage values and the power values of various types transmitted by the transducer group;

[0076] The difference module is used for determining the value outliers of various types in various periods according to the differences between the voltage values and the power values of various types in various periods and the estimated values of adjacent previous periods of various types in various periods, and the fluctuation conditions of the voltage values and the power values of various types in various periods; according to the clock curve conditions of the value outliers of various types in all periods, the periods in which various types present outlier fluctuations are selected, and defined as outlier periods one;

[0077] The change module is used for selecting the periods in which the value fluctuations of various types formed by the unreliable transducer group according to the decreasing change conditions of the voltage values and the power values of various outlier periods one and adjacent subsequent periods, and the value fluctuation changes of various outlier periods one, and combining the previously defined confirmation critical value;

[0078] The determination module is used for determining the reliable amplitude of the transducer group according to the number of outlier periods two of all types, the time interval size between various outlier periods two, and the number of types presenting outlier periods two.

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

[0080] According to the difference between the estimated value of the adjacent previous period and the voltage value and the power value, and the fluctuation condition of the voltage value and the power value, an outlier quantity parameter is constructed to evaluate the period with the outlier fluctuation in the value, and the defect of not finding the outlier fluctuation is overcome; according to the reduction condition of the voltage value and the power value of the adjacent next period of the period with the outlier fluctuation, and the value fluctuation change of the period with the outlier fluctuation, it is confirmed that the outlier fluctuation is the value fluctuation of the unreliable transmitter group or the load change of the node itself causes the value fluctuation of the transmitter group, the evaluation accuracy of the unreliable outlier fluctuation of the transmitter group is improved, and finally according to the number and time interval of the periods with the value fluctuation caused by the unreliable transmitter group in the six categories, and the number of categories, the reliable amplitude parameter of the transmitter group is constructed to confirm the reliable amplitude of the transmitter group, the continuity of the adjacent values is fully considered, the accuracy of the reliability evaluation value of the transmitter group is improved, and the reliability and investment efficiency of the distribution network system are improved.

[0081] The present disclosure can be a system, a method, and / or a computer program product. The computer program product can include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present disclosure.

[0082] The computer readable storage medium can be a tangible computer readable storage medium storing the instructions. A computer readable storage medium can be, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, semiconductor system, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium include: a portable computer diskette, a hard disk, a memory stick, a memory card, a floppy diskette, an on-line interactive presentation, a magnetic tape, a floppy diskette, a RAM, a ROM, an EPROM, an EEPROM, a solid state memory drive, a magnetic card, an optical card, a paper tape, a paper card, an on-line in a slot structure, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber optic cable), or electrical signals transmitted by wires.

[0083] Computer readable program instructions described herein can be downloaded to respective computing / processing electrical lines from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and / or a wireless network. The network can comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and / or edge servers. A wireless network adapter card or wireless modem in a respective computing / processing electrical line receives the computer readable program instructions from the wireless network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing / processing electrical line.

[0084] Computer readable program instructions for carrying out operations of the present disclosure can be assembly language instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, conditionally executed code, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions can execute entirely on the client computer, partly on the client computer, as a stand-alone software package, partly on the client computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the client computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) can execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present disclosure.

[0085] Finally, it should be noted that the above-mentioned embodiments illustrate rather than limit the application, since the scope of the application is given by the appended claims.

Claims

1. A control method for distribution network networking aimed at improving both reliability and investment efficiency, characterized in that: include: The voltage transmitter samples the voltage of the nodes in the distribution network planning and transmits it to the controller. The power transmitter samples the active power of the nodes 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 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 node voltage includes the node's phase A voltage, phase B voltage, and phase C voltage, and the active power of the node connected to the DG includes the node's phase A active power, phase B active power, and phase C active power. The voltage transmitter and power transmitter constitute the transmitter group; The control method for distribution network networking aimed at improving both reliability and investment efficiency also includes: Step 1: Receive various voltage and power values ​​from the transmitter group; Step 2: Determine the numerical outliers of each time period based on the differences between the estimated values ​​of each time period and the previous time period, as well as the voltage and power values ​​of each time period, and the fluctuations of the voltage and power values ​​of each time period; select the time period showing outlier fluctuations based on the bell-shaped curve of the numerical outliers of each time period in all time periods and define it as outlier time period 1; Step 3: Based on the decrease in voltage and power values ​​during each outlier period and the period immediately following it, as well as the fluctuations in the values ​​during each outlier period 1, and combined with a pre-defined validation threshold, select the periods of value fluctuations caused by transmitter group unreliability and define them as outlier periods 2. Step 4: Determine the reliability of the transmitter group based on the number of outlier periods 2 under all classes, the time intervals between outlier periods 2 of each class, and the number of classes with outlier periods 2; Step 3 specifically includes: constructing an outlier identification confirmation factor parameter to confirm whether 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. The outlier identification confirmation factor of the j-th class n-th outlier period 1 is defined 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 decreasing queues of voltage and power values ​​in the next period adjacent to the nth outlier period of the jth class; x n+1 It is the decreasing queue of voltage and power values ​​in the next period adjacent to the nth outlier period of the jth class; It's x n Find the standard deviation; x n is the queue formed by the voltage and power values ​​of the j-th class in the n-th outlier period; 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; Step 3 specifically includes: calculating the outlier identification confirmation factor of each outlier period, taking the pre-defined confirmation threshold t=0.7, and j,n When >t, it means that the outlier fluctuation of the j-th class n-th outlier period is attributed to the numerical trend fluctuation caused by the unreliability of the 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.

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: the A-phase voltage, B-phase voltage, and C-phase voltage of the node in the distribution network planning, and the A-phase active power, B-phase active power, and C-phase active power of the node connected to the DG.

3. The control method for distribution network networking for improving both reliability and investment efficiency according to claim 2, characterized in that: In step 1, the controller receives 3,000 six types of voltage and power values ​​from the transmitter group. These six types of voltage and power values ​​include the A-phase voltage, B-phase voltage, and C-phase voltage of the nodes in the distribution network planning, as well as the A-phase active power, B-phase active power, and C-phase active power of the nodes connected to the DG. The voltage and power values ​​are arranged in the order of sampling time 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, and the A-phase active power, B-phase active power, and C-phase active power of the node connected to the DG, sampled by the transmitter group. The t vertical rows in the array are the six voltage and power values ​​sampled by the transmitter group at each time point, where 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 the value in the p-th period has an outlier change. 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 p-th period under the j-th class, j∈(1,2,3,4,5,6); G p , G p-1 are the estimates of the p-th period and the p-1-th period under the j-th 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 voltage and power in the p-th time period under the j-th 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 period under the j-th class shows outlier fluctuations, and this period is defined as outlier period 1. ν is the mean of the numerical outlier value of all periods under each class. is the standard deviation of the outliers in 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, 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 in all classes as P.

7. The control method for distribution network networking for improving both reliability and investment efficiency according to claim 6, characterized in that: In step 4, the reliable amplitude X of the transmitter group is constructed: In the equation, X is the reliability amplitude of the transmitter group; P is the number of outlier period 2 of the transmitter group under the overall class; M is the number of classes in which the outlier period 2 is located; E g 、E g-1 are the starting time points of the gth and g-1th 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.

8. A distribution network networking device for improving both reliability and investment efficiency using the control method according to claim 1, characterized in that: include: At the nodes in the distribution network planning, there are voltage transmitters and power transmitters connected to the controller. 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 respectively 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, and the distribution line investment cost, thereby achieving the distribution network networking 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 modules running on the controller include: The receiving module is used to receive various voltage and power values ​​from the transmitter group; a distinguishing module for identifying numerical outliers for each time period based on the differences between the estimated values ​​of each time period and the previous time period adjacent thereto, and the voltage and power values ​​for each time period, as well as the fluctuations of the voltage and power values ​​for each time period; and selecting each time period showing outlier fluctuations based on the bell-shaped curve of the numerical outliers for all time periods, and defining it as outlier time period 1; A change module is used to select the time period of value fluctuation caused by the unreliability of the transmitter group based on the decrease in voltage and power values ​​during each outlier period and the subsequent period, as well as the value fluctuation of each outlier period 1, in combination with a pre-defined confirmation threshold, and define the time period as the outlier period 2. The identification module is used to identify the reliable amplitude of the transmitter 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 presenting outlier period 2.

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