A dynamic load intelligent monitoring method and system for distribution network digital lines

Abstract

The present invention discloses a dynamic load intelligent monitoring method and system for distribution network digital lines, belonging to the field of data analysis technology. The present invention determines the transmission lines in the distribution area through the distribution network transmission network, records the load nodes on each transmission line, and collects the historical load data of each load node; by constructing a periodic load monitoring model of the corresponding transmission line, the load power consumption cycle change rate of each transmission line is determined; the complexity of the dynamic load change of each load node within the cycle is analyzed in combination with the load power consumption cycle change rate on the corresponding transmission line, and the load node complexity level is divided according to the analysis results; the distribution of the periodic complex load nodes of each transmission line is comprehensively analyzed according to the division results of each transmission line; the periodic load power consumption change analysis data of the load nodes of each transmission line is output, and the transmission control is performed according to the distribution of the periodic complex load nodes of each transmission line.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a method and system for intelligently monitoring dynamic loads of digital distribution network lines. Background Art

[0002] Intelligent monitoring of dynamic loads in distribution networks inherits the comprehensive technologies of advanced sensing technology, communication technology, data processing and artificial intelligence algorithms. It can collect and analyze load data in distribution networks in real time, accurately predict and respond to load changes, optimize grid operation, and improve power supply reliability and economic efficiency.

[0003] At present, most of the regional load monitoring of distribution networks is still at the macro level and power supply. Its load monitoring and power transmission are based on large areas and long periods for regional regulation. In a longer period of time, it can meet the electricity demand of the target area. However, with the development of intelligent electricity consumption, the regional load structure has become more complicated and the dynamic changes have become faster and more complex. The traditional load monitoring mode cannot effectively and dynamically monitor the current load power consumption, which will cause errors in the distribution network power supply and cannot achieve real-time power supply regulation, which is not suitable for the current load power supply needs. Summary of the invention

[0004] The object of the present invention is to provide a method and system for intelligently monitoring dynamic loads of digital distribution network lines, so as to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] A method for intelligent monitoring of dynamic loads of digital distribution network lines, the method comprising the following steps:

[0007] S100, determining the transmission lines in the distribution area through the distribution network, recording the load nodes on each transmission line, and collecting historical load data of each load node;

[0008] S200, constructing a periodic load monitoring model for the corresponding transmission line by combining the load node data on each transmission line, and determining the load power consumption periodic change rate of each transmission line;

[0009] S300, analyzing the complexity of dynamic load changes within a cycle for each load node in combination with the load power consumption cycle change rate on the corresponding transmission line, and dividing the load node complexity level according to the analysis results; comprehensively analyzing the distribution of the periodic complex load nodes of each transmission line according to the division results of each transmission line;

[0010] S400, outputting the periodic load power consumption variation analysis data of the load nodes of each transmission line, and performing transmission control according to the distribution of the periodic complex load nodes of each transmission line.

[0011] The specific steps of S100 for determining the transmission lines in the distribution area through the distribution network transmission network, recording the load nodes on each transmission line, and collecting the historical load data of each load node are as follows:

[0012] S101. Extract regional transmission line data from regional historical power supply data through the distribution network, and assign labels to the transmission lines in the target area; determine each load node on each transmission line, assign labels to the corresponding transmission lines, and obtain the load distribution line situation in the corresponding area;

[0013] S102. Construct a time table of historical load data of the corresponding load node by retrieving the historical load data of the corresponding load node recorded by the load sensing device of each load node; the load sensing device is a smart meter; the historical load data includes historical load node power consumption data and power consumption time; the historical load data time table records the power consumption time and the historical load power consumption data of the corresponding time.

[0014] The specific steps of S200 to construct a periodic load monitoring model for the corresponding transmission line by combining the load node data on each transmission line and determining the load power consumption periodic change rate of each transmission line are as follows:

[0015] S201, simulating the transmission lines and corresponding line load nodes in the target area through virtual simulation technology, and displaying the historical load data time table of each load node in association;

[0016] S202. According to the data simulation results of the transmission lines and the corresponding load nodes, a periodic load monitoring model is constructed to analyze the load power consumption periodic change rate of each transmission line; by setting the monitoring period T, the periodic power consumption data of each load node on each transmission line within the period is recorded in real time, and a periodic power consumption distribution diagram of the corresponding transmission line is constructed according to the recorded data; in the periodic power consumption distribution diagram of each transmission line, the coordinate points of each load node at the start time point of the period are connected in sequence to obtain a line graph of the initial periodic power consumption data of the corresponding transmission line; the coordinate points of each load node at the end time point of the period are connected in sequence to obtain a line graph of the end periodic power consumption data of the corresponding transmission line; the corresponding line graphs are vectorized by vector transformation, and the vectorized line segments are vectorized to obtain the initial periodic power consumption data feature vector and the end periodic power consumption data feature vector of each transmission line; the load power consumption periodic change rate of each transmission line is analyzed, and the calculation formula is: ;in is the load power consumption cycle change rate of the corresponding transmission line; i is the transmission line number; j is the number of load nodes; is the power consumption data at the end of the cycle of the load node numbered j on the transmission line numbered i; is the power consumption data at the beginning of the cycle of the load node numbered j on the transmission line numbered i; It is the angle between the characteristic vector of the initial cycle power consumption data and the characteristic vector of the final cycle power consumption data in the transmission line corresponding to number i. By introducing the cosine value of the characteristic vector angle constructed by the power consumption data of each load node on the corresponding transmission line before and after the cycle, a comprehensive analysis is performed on the power consumption change rate of the transmission line within the cycle.

[0017] The S300 analyzes the complexity of dynamic load changes in each load node within a cycle in combination with the load power consumption cycle change rate on the corresponding transmission line, and divides the load node complexity level according to the analysis results; the specific steps of comprehensively analyzing the distribution of the periodic complex load nodes of each transmission line according to the division results of each transmission line are as follows:

[0018] S301, by analyzing the degree of change of power load within a cycle for each load node on each transmission line, the calculation formula is: ;in is the degree of change of periodic load charge at the load node numbered j on the transmission line numbered i; and The maximum and minimum growth values ​​of the power consumption data per unit time of the load node numbered j on the transmission line numbered i in the cycle; is the average growth rate of the periodic unit time electricity consumption data of the load node numbered j on the transmission line numbered i; is the average growth value of the power consumption data per unit time of each load node on the transmission line corresponding to number i; the dynamic load change complexity of each load node is analyzed by combining the load power consumption cycle change rate of the transmission line where each load node is located, and the calculation formula is: ;in, is the periodic dynamic load variation complexity of the load node numbered j on the transmission line numbered i; is the load transmission loss coefficient of the load node numbered j on the transmission line numbered i;

[0019] S302, comprehensively construct the dynamic load change complexity set of each load node on each transmission line within a period; obtain the dynamic load change complexity set of each load node in the target area by performing intersection calculation on the dynamic load change complexity sets of each transmission line; divide each load node into load node complexity levels based on the dynamic load change degree of each load node in the target area, wherein the influence ratio of the growth of the comprehensive dynamic load change complexity of each node in the target area within the period is analyzed, and the calculation formula is: ;in is the influence ratio of the comprehensive dynamic load change complexity growth of each node in the periodic target area; is the complexity of dynamic load changes of each load node in the current cycle; is the complexity of dynamic load changes of each load node in the previous cycle; is the total number of load nodes in the target area; It is the maximum value of the dynamic load change complexity of each load node in the current cycle; It is the minimum value of the dynamic load change complexity of each load node in the current cycle; the influence ratio of complexity growth is obtained by introducing the mean of the complexity growth calculation of each node between adjacent cycles and the complexity range of each node in the current cycle, which is calculated by analyzing the influence of the growth value on the range;

[0020] By sorting the elements in the dynamic load change complexity set of each load node in the target area in descending order from large to small, the number of high-complexity nodes is obtained by combining the comprehensive dynamic load change complexity growth impact ratio of each node in the periodic target area. The calculation formula is: ; Where M is the number of high-complexity nodes; in the dynamic load change complexity set of each load node in the target area where the sorting is completed, the load nodes corresponding to the top elements are obtained by calculating the number of high-complexity nodes, and the obtained nodes are marked as high-complexity nodes, and the load nodes corresponding to the remaining elements are low-complexity nodes; then in the target area, the high-complexity nodes on each transmission line are counted, and the proportion of the periodic complexity of each transmission line is analyzed. The calculation formula is ;in is the proportion of cycle complexity corresponding to each transmission line; To correspond to the number of high-complexity nodes on each transmission line; To correspond to the high-complexity nodes on each transmission line; according to the analysis results of the periodic complexity ratio of each transmission line, the periodic complexity ratio of each transmission line is sorted in descending order to obtain the real-time complex control priority of each transmission line within the period; Among them, the complexity growth impact ratio is used as the high-complexity node data calculation ratio because the high-complexity nodes have a major influence on the growth impact ratio; if the calculation result of M is not an integer, it is rounded.

[0021] The specific steps of S400 for outputting the analysis data of the periodic load power consumption variation of the load nodes of each transmission line and performing power transmission control according to the distribution of the periodic complex load nodes of each transmission line are as follows:

[0022] S401, outputting the power consumption change analysis data of each load node in the target area through the simulation terminal, and displaying the complexity classification of each node;

[0023] S402: Output the control priority according to the complexity ratio of each transmission line, and perform load transmission control on each transmission line in order from large to small.

[0024] A dynamic load intelligent monitoring system for distribution network digital lines, the system comprising a regional line determination module, a monitoring model construction module, a comprehensive complexity analysis module and a control feedback module;

[0025] The regional line determination module determines the transmission lines in the distribution area through the distribution network transmission network, records the load nodes on each transmission line, and collects the historical load data of each load node; the monitoring model construction module constructs the periodic load monitoring model of the corresponding transmission line by combining the load node data on each transmission line, and determines the load power consumption cycle change rate of each transmission line; the comprehensive complexity analysis module analyzes the complexity of the dynamic load change of each load node within the cycle in combination with the load power consumption cycle change rate on the corresponding transmission line, and divides the load node complexity level according to the analysis results; comprehensively analyzes the distribution of the periodic complex load nodes of each transmission line according to the division results of each transmission line; the control feedback module outputs the periodic load power consumption change analysis data of the load nodes of each transmission line, and performs transmission control according to the distribution of the periodic complex load nodes of each transmission line.

[0026] The regional line determination module includes a regional line node acquisition unit and a regional node data acquisition unit;

[0027] The regional line node acquisition unit extracts regional transmission line data from the regional historical power supply data through the distribution network, and assigns labels to the transmission lines in the target area; determines each load node on each transmission line, assigns labels to the corresponding transmission lines, and obtains the load distribution line situation in the corresponding area;

[0028] The regional node data acquisition unit constructs a time table of historical load data of the corresponding load node by calling the historical load data of the corresponding load node recorded by the load sensing device of each load node.

[0029] The monitoring model building module includes a virtual simulation unit and a line load power consumption change rate analysis unit;

[0030] The virtual simulation unit simulates the transmission lines and corresponding line load nodes in the target area through virtual simulation technology, and displays the historical load data time table of each load node in an associated manner;

[0031] The line load power consumption change rate analysis unit constructs a periodic load monitoring model based on the data simulation results of the transmission line and the corresponding load nodes to analyze the load power consumption periodic change rate of each transmission line; by setting a monitoring period, the periodic power consumption data of each load node on each transmission line within the period are recorded in real time, and a periodic power consumption distribution diagram of the corresponding transmission line is constructed according to the recorded data; in the periodic power consumption distribution diagram of each transmission line, the coordinate points of each load node at the start time point of the period are connected in sequence to obtain a line graph of the initial periodic power consumption data of the corresponding transmission line; the coordinate points of each load node at the end time point of the period are connected in sequence to obtain a line graph of the end periodic power consumption data of the corresponding transmission line; the corresponding line graphs are vectorized by vector transformation, and the vectorized line segments are vectorized to obtain the initial periodic power consumption data feature vector and the end periodic power consumption data feature vector of each transmission line; the load power consumption periodic change rate analysis is performed on each transmission line.

[0032] The comprehensive complexity analysis module includes a node dynamic load change complexity analysis unit and a line complexity ratio analysis unit;

[0033] The node dynamic load change complexity analysis unit analyzes the degree of change of power load corresponding to each load node in each transmission line within the cycle; and analyzes the dynamic load change complexity of each load node in combination with the load power cycle change rate of the transmission line where each load node is located;

[0034] The line complexity proportion analysis unit comprehensively constructs the dynamic load change complexity set of the corresponding transmission line by combining the dynamic load change complexity of each load node in the period on each transmission line; obtains the dynamic load change complexity set of each load node in the target area by performing intersection calculation on the dynamic load change complexity sets of each transmission line; divides each load node into load node complexity levels according to the dynamic load change degree of each load node in the target area, wherein the influence proportion of the growth of the comprehensive dynamic load change complexity of each node in the target area within the period is analyzed; and the elements in the dynamic load change complexity set of each load node in the target area are sorted in descending order from large to small, and the dynamic load change complexity set of each node in the target area is combined with the load node complexity of each node in the target area within the period. The number of high-complexity nodes is obtained based on the comprehensive dynamic load change complexity growth impact ratio of the point; in the dynamic load change complexity set of each load node in the sorted target area, the load nodes corresponding to the top-ranked elements are obtained by calculating the number of high-complexity nodes, and the obtained nodes are marked as high-complexity nodes, and the load nodes corresponding to the remaining elements are low-complexity nodes; in the target area, the high-complexity nodes on each transmission line are counted, and the corresponding periodic complexity proportion of each transmission line is analyzed; according to the analysis results of the periodic complexity proportion of each transmission line, the periodic complexity proportion of each transmission line is sorted in descending order to obtain the real-time complex control priority of each transmission line within the period.

[0035] The control feedback module includes a data output unit and a control feedback unit;

[0036] The data output unit outputs the power consumption change analysis data of each load node in the target area through the simulation terminal, and displays the complexity classification of each node;

[0037] The control feedback unit outputs a control priority according to the complexity ratio of each transmission line, and performs load transmission control on each transmission line in order from large to small.

[0038] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention combines the digital line planning of the distribution network with the change analysis of the node load data to perform real-time dynamic load monitoring and regulation in the monitoring area; analyzes the complexity of the periodic dynamic load change of each node by analyzing the load power consumption change rate of the real-time line in combination with the degree of change of the periodic power load of each node; analyzes the proportion of the regional comprehensive complexity growth impact by combining the load change complexity of each node, divides the regional nodes into complexity levels by using the proportion of the regional comprehensive complexity growth impact, and analyzes the complexity proportion of each line by analyzing the number of complex nodes of each line and plans the regulation priority; the present invention can track the transmission line accurately to the periodic load change of each load node for monitoring, improves the defects of poor accuracy and timeliness caused by the macro monitoring of the traditional distribution network load monitoring, and improves the transmission regulation capability of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0040] Figure 1 The present invention is a structural schematic diagram of a dynamic load intelligent monitoring system for distribution network digital lines. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] See also Figure 1 , the present invention provides a technical solution:

[0043] A method for intelligent monitoring of dynamic loads of digital distribution network lines, the method comprising the following steps:

[0044] S100, determining the transmission lines in the distribution area through the distribution network, recording the load nodes on each transmission line, and collecting historical load data of each load node;

[0045] S200, constructing a periodic load monitoring model for the corresponding transmission line by combining the load node data on each transmission line, and determining the load power consumption periodic change rate of each transmission line;

[0046] S300, analyzing the complexity of dynamic load changes within a cycle for each load node in combination with the load power consumption cycle change rate on the corresponding transmission line, and dividing the load node complexity level according to the analysis results; comprehensively analyzing the distribution of the periodic complex load nodes of each transmission line according to the division results of each transmission line;

[0047] S400, outputting the periodic load power consumption variation analysis data of the load nodes of each transmission line, and performing transmission control according to the distribution of the periodic complex load nodes of each transmission line.

[0048] The specific steps of S100 for determining the transmission lines in the distribution area through the distribution network transmission network, recording the load nodes on each transmission line, and collecting the historical load data of each load node are as follows:

[0049] S101. Extract regional transmission line data from regional historical power supply data through the distribution network, and assign labels to the transmission lines in the target area; determine each load node on each transmission line, assign labels to the corresponding transmission lines, and obtain the load distribution line situation in the corresponding area;

[0050] S102, constructing a time table of historical load data of the corresponding load node by retrieving the historical load data of the corresponding load node recorded by the load sensing device of each load node.

[0051] The specific steps of S200 to construct a periodic load monitoring model for the corresponding transmission line by combining the load node data on each transmission line and determining the load power consumption periodic change rate of each transmission line are as follows:

[0052] S201, simulating the transmission lines and corresponding line load nodes in the target area through virtual simulation technology, and displaying the historical load data time table of each load node in association;

[0053] S202. According to the data simulation results of the transmission lines and the corresponding load nodes, a periodic load monitoring model is constructed to analyze the load power consumption periodic change rate of each transmission line; by setting the monitoring period T, the periodic power consumption data of each load node on each transmission line within the period is recorded in real time, and a periodic power consumption distribution diagram of the corresponding transmission line is constructed according to the recorded data; in the periodic power consumption distribution diagram of each transmission line, the coordinate points of each load node at the start time point of the period are connected in sequence to obtain a line graph of the initial periodic power consumption data of the corresponding transmission line; the coordinate points of each load node at the end time point of the period are connected in sequence to obtain a line graph of the end periodic power consumption data of the corresponding transmission line; the corresponding line graphs are vectorized by vector transformation, and the vectorized line segments are vectorized to obtain the initial periodic power consumption data feature vector and the end periodic power consumption data feature vector of each transmission line; the load power consumption periodic change rate of each transmission line is analyzed, and the calculation formula is: ;in is the load power consumption cycle change rate of the corresponding transmission line; i is the transmission line number; j is the number of load nodes; is the power consumption data at the end of the cycle of the load node numbered j on the transmission line numbered i; is the power consumption data at the beginning of the cycle of the load node numbered j on the transmission line numbered i; is the angle between the characteristic vector of the initial cycle power consumption data and the characteristic vector of the final cycle power consumption data in the transmission line corresponding to number i.

[0054] The S300 analyzes the complexity of dynamic load changes in each load node within a cycle in combination with the load power consumption cycle change rate on the corresponding transmission line, and divides the load node complexity level according to the analysis results; the specific steps of comprehensively analyzing the distribution of the periodic complex load nodes of each transmission line according to the division results of each transmission line are as follows:

[0055] S301, by analyzing the degree of change of power load within a cycle for each load node on each transmission line, the calculation formula is: ;in is the degree of change of periodic load charge at the load node numbered j on the transmission line numbered i; and The maximum and minimum growth values ​​of the power consumption data per unit time of the load node numbered j on the transmission line numbered i in the cycle; is the average growth rate of the periodic unit time electricity consumption data of the load node numbered j on the transmission line numbered i; is the average growth value of the power consumption data per unit time of each load node on the transmission line with the corresponding number i; the dynamic load change complexity of each load node is analyzed by combining the load power consumption cycle change rate of the transmission line where each load node is located. The calculation formula is ;in, is the periodic dynamic load variation complexity of the load node numbered j on the transmission line numbered i; is the load transmission loss coefficient of the load node numbered j on the transmission line numbered i;

[0056] S302, comprehensively construct the dynamic load change complexity set of each load node on each transmission line within a period; obtain the dynamic load change complexity set of each load node in the target area by performing intersection calculation on the dynamic load change complexity sets of each transmission line; divide each load node into load node complexity levels based on the dynamic load change degree of each load node in the target area, wherein the influence ratio of the growth of the comprehensive dynamic load change complexity of each node in the target area within the period is analyzed, and the calculation formula is: ;in is the influence ratio of the comprehensive dynamic load change complexity growth of each node in the periodic target area; is the complexity of dynamic load changes of each load node in the current cycle; is the complexity of dynamic load changes of each load node in the previous cycle; is the total number of load nodes in the target area; It is the maximum value of the dynamic load change complexity of each load node in the current cycle; It is the minimum value of the dynamic load change complexity of each load node in the current cycle;

[0057] By sorting the elements in the dynamic load change complexity set of each load node in the target area in descending order from large to small, the number of high-complexity nodes is obtained by combining the comprehensive dynamic load change complexity growth impact ratio of each node in the periodic target area. The calculation formula is: ; Where M is the number of high-complexity nodes; in the dynamic load change complexity set of each load node in the target area where the sorting is completed, the load nodes corresponding to the top elements are obtained by calculating the number of high-complexity nodes, and the obtained nodes are marked as high-complexity nodes, and the load nodes corresponding to the remaining elements are low-complexity nodes; then in the target area, the high-complexity nodes on each transmission line are counted, and the proportion of the periodic complexity of each transmission line is analyzed. The calculation formula is ;in is the proportion of cycle complexity corresponding to each transmission line; To correspond to the number of high-complexity nodes on each transmission line; To correspond to the high-complexity nodes on each transmission line; according to the analysis results of the cycle complexity ratio of each transmission line, the cycle complexity ratio of each transmission line is sorted in descending order to obtain the real-time complex control priority of each transmission line within the cycle.

[0058] The specific steps of S400 for outputting the analysis data of the periodic load power consumption variation of the load nodes of each transmission line and performing power transmission control according to the distribution of the periodic complex load nodes of each transmission line are as follows:

[0059] S401, outputting the power consumption change analysis data of each load node in the target area through the simulation terminal, and displaying the complexity classification of each node;

[0060] S402: Output the control priority according to the complexity ratio of each transmission line, and perform load transmission control on each transmission line in order from large to small.

[0061] A dynamic load intelligent monitoring system for distribution network digital lines, the system comprising a regional line determination module, a monitoring model construction module, a comprehensive complexity analysis module and a control feedback module;

[0062] The regional line determination module determines the transmission lines in the distribution area through the distribution network transmission network, records the load nodes on each transmission line, and collects the historical load data of each load node; the monitoring model construction module constructs the periodic load monitoring model of the corresponding transmission line by combining the load node data on each transmission line, and determines the load power consumption cycle change rate of each transmission line; the comprehensive complexity analysis module analyzes the complexity of the dynamic load change of each load node within the cycle in combination with the load power consumption cycle change rate on the corresponding transmission line, and divides the load node complexity level according to the analysis results; comprehensively analyzes the distribution of the periodic complex load nodes of each transmission line according to the division results of each transmission line; the control feedback module outputs the periodic load power consumption change analysis data of the load nodes of each transmission line, and performs transmission control according to the distribution of the periodic complex load nodes of each transmission line.

[0063] The regional line determination module includes a regional line node acquisition unit and a regional node data acquisition unit;

[0064] The regional line node acquisition unit extracts regional transmission line data from the regional historical power supply data through the distribution network, and assigns labels to the transmission lines in the target area; determines each load node on each transmission line, assigns labels to the corresponding transmission lines, and obtains the load distribution line situation in the corresponding area;

[0065] The regional node data acquisition unit constructs a time table of historical load data of the corresponding load node by calling the historical load data of the corresponding load node recorded by the load sensing device of each load node.

[0066] The monitoring model building module includes a virtual simulation unit and a line load power consumption change rate analysis unit;

[0067] The virtual simulation unit simulates the transmission lines and corresponding line load nodes in the target area through virtual simulation technology, and displays the historical load data time table of each load node in an associated manner;

[0068] The line load power consumption change rate analysis unit constructs a periodic load monitoring model based on the data simulation results of the transmission line and the corresponding load nodes to analyze the load power consumption periodic change rate of each transmission line; by setting a monitoring period, the periodic power consumption data of each load node on each transmission line within the period are recorded in real time, and a periodic power consumption distribution diagram of the corresponding transmission line is constructed according to the recorded data; in the periodic power consumption distribution diagram of each transmission line, the coordinate points of each load node at the start time point of the period are connected in sequence to obtain a line graph of the initial periodic power consumption data of the corresponding transmission line; the coordinate points of each load node at the end time point of the period are connected in sequence to obtain a line graph of the end periodic power consumption data of the corresponding transmission line; the corresponding line graphs are vectorized by vector transformation, and the vectorized line segments are vectorized to obtain the initial periodic power consumption data feature vector and the end periodic power consumption data feature vector of each transmission line; the load power consumption periodic change rate analysis is performed on each transmission line.

[0069] The comprehensive complexity analysis module includes a node dynamic load change complexity analysis unit and a line complexity ratio analysis unit;

[0070] The node dynamic load change complexity analysis unit analyzes the degree of change of power load corresponding to each load node in each transmission line within the cycle; and analyzes the dynamic load change complexity of each load node in combination with the load power cycle change rate of the transmission line where each load node is located;

[0071] The line complexity proportion analysis unit comprehensively constructs the dynamic load change complexity set of the corresponding transmission line by combining the dynamic load change complexity of each load node in the period on each transmission line; obtains the dynamic load change complexity set of each load node in the target area by performing intersection calculation on the dynamic load change complexity sets of each transmission line; divides each load node into load node complexity levels according to the dynamic load change degree of each load node in the target area, wherein the influence proportion of the growth of the comprehensive dynamic load change complexity of each node in the target area within the period is analyzed; and the elements in the dynamic load change complexity set of each load node in the target area are sorted in descending order from large to small, and the dynamic load change complexity set of each node in the target area is combined with the load node complexity of each node in the target area within the period. The number of high-complexity nodes is obtained based on the comprehensive dynamic load change complexity growth impact ratio of the point; in the dynamic load change complexity set of each load node in the sorted target area, the load nodes corresponding to the top-ranked elements are obtained by calculating the number of high-complexity nodes, and the obtained nodes are marked as high-complexity nodes, and the load nodes corresponding to the remaining elements are low-complexity nodes; in the target area, the high-complexity nodes on each transmission line are counted, and the corresponding periodic complexity proportion of each transmission line is analyzed; according to the analysis results of the periodic complexity proportion of each transmission line, the periodic complexity proportion of each transmission line is sorted in descending order to obtain the real-time complex control priority of each transmission line within the period.

[0072] The control feedback module includes a data output unit and a control feedback unit;

[0073] The data output unit outputs the power consumption change analysis data of each load node in the target area through the simulation terminal, and displays the complexity classification of each node;

[0074] The control feedback unit outputs the control priority according to the complexity ratio of each transmission line, and performs load transmission control on each transmission line in order from large to small;

[0075] In the examples:

[0076] Now a distribution network needs to perform high-quality load monitoring on a certain area, and its monitoring system is configured with the dynamic load intelligent monitoring system for distribution network digital lines of the present invention; regional transmission line data is extracted from the historical power supply data of the region through the distribution network, and labels are assigned to the transmission lines in the target area; each load node on each transmission line is determined, and a label is assigned to the corresponding transmission line to obtain the load distribution line situation in the corresponding area; the historical load data of the corresponding load node recorded by the load sensing equipment of each load node is retrieved, and a time table of the historical load data of the corresponding load node is constructed;

[0077] The transmission lines and corresponding line load nodes in the target area are simulated by virtual simulation technology, and the historical load data time table of each load node is displayed in association; according to the data simulation results of the transmission lines and corresponding load nodes, a periodic load monitoring model is constructed to analyze the load power consumption cycle change rate of each transmission line; by setting the monitoring period T, the periodic power consumption data of each load node on each transmission line within the period is recorded in real time, and the periodic power consumption distribution diagram of the corresponding transmission line is constructed according to the recorded data; in the periodic power consumption distribution diagram of each transmission line, the coordinate points of each load node at the start time point of the period are connected in sequence to obtain the corresponding transmission line initial periodic power consumption data line graph; the coordinate points of each load node at the end time point of the period are connected in sequence to obtain the corresponding transmission line end periodic power consumption data line graph; the corresponding line graph is vectorized by vector transformation, and the vectorized line segments are vectorized to obtain the initial periodic power consumption data feature vector and the end periodic power consumption data feature vector of each transmission line; the load power consumption cycle change rate of each transmission line is analyzed, and the calculation formula is as follows: ;

[0078] By analyzing the degree of change of power load in the cycle for each load node on each transmission line, the calculation formula is: ; Combined with the load power cycle change rate of the transmission line where each load node is located, the dynamic load change complexity of each load node is analyzed, and the calculation formula is: ;

[0079] The dynamic load change complexity of each load node on each transmission line within a period is comprehensively considered to construct a dynamic load change complexity set of the corresponding transmission line; the dynamic load change complexity set of each load node in the target area is obtained by performing intersection calculation on the dynamic load change complexity sets of each transmission line; the load node complexity level is divided for each load node based on the dynamic load change degree of each load node in the target area, and the influence ratio of the growth of the comprehensive dynamic load change complexity of each node in the target area within the period is analyzed, and the calculation formula is: ; By sorting the elements in the dynamic load change complexity set of each load node in the target area in descending order from large to small, the number of high-complexity nodes is obtained by combining the comprehensive dynamic load change complexity growth impact ratio of each node in the periodic target area. The calculation formula is: ; Where M is the number of high-complexity nodes; in the dynamic load change complexity set of each load node in the target area where the sorting is completed, the load nodes corresponding to the top elements are obtained by calculating the number of high-complexity nodes, and the obtained nodes are marked as high-complexity nodes, and the load nodes corresponding to the remaining elements are low-complexity nodes; then in the target area, the high-complexity nodes on each transmission line are counted, and the proportion of the periodic complexity of each transmission line is analyzed. The calculation formula is ; According to the analysis results of the cycle complexity ratio of each transmission line, the cycle complexity ratio of each transmission line is sorted in descending order to obtain the real-time complex control priority of each transmission line within the cycle;

[0080] The simulation end outputs the power consumption change analysis data of each load node in the target area, and displays the complexity level of each node; the control priority is output according to the complexity ratio of each transmission line, and the load transmission control of each transmission line is carried out in order from large to small.

[0081] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0082] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A dynamic load intelligent monitoring method for distribution network digital lines, characterized by: The method comprises the following steps: S100, determining the transmission lines in the distribution area through the distribution network, recording the load nodes on each transmission line, and collecting historical load data of each load node; S200, constructing a periodic load monitoring model for the corresponding transmission line by combining the load node data on each transmission line, and determining the load power consumption periodic change rate of each transmission line; The specific steps of S200 to construct a periodic load monitoring model for the corresponding transmission line by combining the load node data on each transmission line and determining the load power consumption periodic change rate of each transmission line are as follows: S201, simulating the transmission lines and corresponding line load nodes in the target area through virtual simulation technology, and displaying the historical load data time table of each load node in association; S202. According to the data simulation results of the transmission lines and the corresponding load nodes, a periodic load monitoring model is constructed to analyze the load power consumption periodic change rate of each transmission line; by setting the monitoring period T, the periodic power consumption data of each load node on each transmission line within the period is recorded in real time, and a periodic power consumption distribution diagram of the corresponding transmission line is constructed according to the recorded data; in the periodic power consumption distribution diagram of each transmission line, the coordinate points of each load node at the start time point of the period are connected in sequence to obtain a line graph of the initial periodic power consumption data of the corresponding transmission line; the coordinate points of each load node at the end time point of the period are connected in sequence to obtain a line graph of the end periodic power consumption data of the corresponding transmission line; the corresponding line graphs are vectorized by vector transformation, and the vectorized line segments are vectorized to obtain the initial periodic power consumption data feature vector and the end periodic power consumption data feature vector of each transmission line; the load power consumption periodic change rate of each transmission line is analyzed, and the calculation formula is: ;in is the load power consumption cycle change rate of the corresponding transmission line; i is the transmission line number; j is the number of load nodes; is the power consumption data at the end of the cycle of the load node numbered j on the transmission line numbered i; is the power consumption data at the beginning of the cycle of the load node numbered j on the transmission line numbered i; is the angle between the characteristic vector of the initial cycle power consumption data and the characteristic vector of the final cycle power consumption data in the transmission line corresponding to number i; S300, analyzing the complexity of dynamic load changes within a cycle for each load node in combination with the load power consumption cycle change rate on the corresponding transmission line, and dividing the load node complexity level according to the analysis results; comprehensively analyzing the distribution of the periodic complex load nodes of each transmission line according to the division results of each transmission line; The S300 analyzes the complexity of dynamic load changes in each load node within a cycle in combination with the load power consumption cycle change rate on the corresponding transmission line, and divides the load node complexity level according to the analysis results; the specific steps of comprehensively analyzing the distribution of the periodic complex load nodes of each transmission line according to the division results of each transmission line are as follows: S301, by analyzing the degree of change of power load within a cycle for each load node on each transmission line, the calculation formula is: ;in is the degree of change of periodic load charge at the load node numbered j on the transmission line numbered i; and The maximum and minimum growth values ​​of the power consumption data per unit time of the load node numbered j on the transmission line numbered i in the cycle; is the average growth rate of the periodic unit time electricity consumption data of the load node numbered j on the transmission line numbered i; is the average growth value of the power consumption data per unit time of each load node on the transmission line corresponding to number i; the dynamic load change complexity of each load node is analyzed by combining the load power consumption cycle change rate of the transmission line where each load node is located, and the calculation formula is: ;in is the periodic dynamic load variation complexity of the load node numbered j on the transmission line numbered i; is the load transmission loss coefficient of the load node numbered j on the transmission line numbered i; S302, comprehensively construct the dynamic load change complexity set of each load node on each transmission line within a period; obtain the dynamic load change complexity set of each load node in the target area by performing intersection calculation on the dynamic load change complexity sets of each transmission line; divide each load node into load node complexity levels based on the dynamic load change degree of each load node in the target area, wherein the influence ratio of the growth of the comprehensive dynamic load change complexity of each node in the target area within the period is analyzed, and the calculation formula is: ;in is the influence ratio of the comprehensive dynamic load change complexity growth of each node in the periodic target area; is the complexity of dynamic load changes of each load node in the current cycle; is the complexity of dynamic load changes of each load node in the previous cycle; is the total number of load nodes in the target area; It is the maximum value of the dynamic load change complexity of each load node in the current cycle; It is the minimum value of the dynamic load change complexity of each load node in the current cycle; By sorting the elements in the dynamic load change complexity set of each load node in the target area in descending order from large to small, the number of high-complexity nodes is obtained by combining the comprehensive dynamic load change complexity growth impact ratio of each node in the periodic target area. The calculation formula is: ;in is the number of high-complexity nodes; in the dynamic load change complexity set of each load node in the target area where the sorting is completed, the load nodes corresponding to the top elements are obtained by calculating the number of high-complexity nodes, and the obtained nodes are marked as high-complexity nodes, and the load nodes corresponding to the remaining elements are low-complexity nodes; in the target area, the high-complexity nodes on each transmission line are counted, and the proportion of the periodic complexity of each transmission line is analyzed. The calculation formula is: ;in is the proportion of cycle complexity corresponding to each transmission line; To correspond to the number of high-complexity nodes on each transmission line; To correspond to the high-complexity nodes on each transmission line; according to the analysis results of the periodic complexity ratio of each transmission line, the periodic complexity ratio of each transmission line is sorted in descending order to obtain the real-time complexity control priority of each transmission line within the period; S400, outputting the periodic load power consumption variation analysis data of the load nodes of each transmission line, and performing transmission control according to the distribution of the periodic complex load nodes of each transmission line.

2. According to claim 1, a method for intelligent monitoring of dynamic loads for distribution network digital lines is characterized in that: The specific steps of S100 for determining the transmission lines in the distribution area through the distribution network transmission network, recording the load nodes on each transmission line, and collecting the historical load data of each load node are as follows: S101. Extract regional transmission line data from regional historical power supply data through the distribution network, and assign labels to the transmission lines in the target area; determine each load node on each transmission line, assign labels to the corresponding transmission lines, and obtain the load distribution line situation in the corresponding area; S102, constructing a time table of historical load data of the corresponding load node by retrieving the historical load data of the corresponding load node recorded by the load sensing device of each load node.

3. According to claim 2, a method for intelligent monitoring of dynamic loads for distribution network digital lines is characterized in that: The specific steps of S400 for outputting the analysis data of the periodic load power consumption variation of the load nodes of each transmission line and performing power transmission control according to the distribution of the periodic complex load nodes of each transmission line are as follows: S401, outputting the power consumption change analysis data of each load node in the target area through the simulation terminal, and displaying the complexity classification of each node; S402: Output the control priority according to the complexity ratio of each transmission line, and perform load transmission control on each transmission line in order from large to small.

4. A dynamic load intelligent monitoring system for a distribution network digital line, using a dynamic load intelligent monitoring method for a distribution network digital line as claimed in any one of claims 1 to 3, characterized in that: The system includes a regional route determination module, a monitoring model construction module, a comprehensive complexity analysis module and a control feedback module; The regional line determination module determines the transmission lines in the distribution area through the distribution network transmission network, records the load nodes on each transmission line, and collects historical load data of each load node; The monitoring model building module builds a periodic load monitoring model of the corresponding transmission line by combining the load node data on each transmission line to determine the load power consumption periodic change rate of each transmission line; The comprehensive complexity analysis module analyzes the complexity of dynamic load changes of each load node within a cycle in combination with the load power consumption cycle change rate on the corresponding transmission line, and divides the load node complexity level according to the analysis results; Comprehensively analyze the distribution of periodic complex load nodes of each transmission line based on the division results of each transmission line; The control feedback module outputs the analysis data of the periodic load power consumption variation of the load nodes of each transmission line, and performs transmission control according to the distribution of the periodic complex load nodes of each transmission line.

5. The intelligent dynamic load monitoring system for distribution network digital lines according to claim 4 is characterized in that: The regional line determination module includes a regional line node acquisition unit and a regional node data acquisition unit; The regional line node acquisition unit extracts regional transmission line data from the regional historical power supply data through the distribution network, and assigns labels to the transmission lines in the target area; determines each load node on each transmission line, assigns labels to the corresponding transmission lines, and obtains the load distribution line situation in the corresponding area; The regional node data acquisition unit constructs a time table of historical load data of the corresponding load node by calling the historical load data of the corresponding load node recorded by the load sensing device of each load node.

6. The dynamic load intelligent monitoring system for distribution network digital lines according to claim 5 is characterized in that: The monitoring model building module includes a virtual simulation unit and a line load power consumption change rate analysis unit; The virtual simulation unit simulates the transmission lines and corresponding line load nodes in the target area through virtual simulation technology, and displays the historical load data time table of each load node in an associated manner; The line load power consumption change rate analysis unit constructs a periodic load monitoring model to analyze the load power consumption periodic change rate of each transmission line according to the data simulation results of the transmission line and the corresponding load node; By setting a monitoring cycle, the periodic power consumption data of each load node on each transmission line within the cycle is recorded in real time, and a periodic power consumption distribution diagram of the corresponding transmission line is constructed according to the recorded data; in the periodic power consumption distribution diagram of each transmission line, the coordinate points of each load node at the start time point of the cycle are connected in sequence to obtain a line graph of the initial periodic power consumption data of the corresponding transmission line; the coordinate points of each load node at the end time point of the cycle are connected in sequence to obtain a line graph of the end periodic power consumption data of the corresponding transmission line; the corresponding line graphs are vectorized by vector transformation, and the vectorized line segments are vectorized to obtain the initial periodic power consumption data feature vector and the end periodic power consumption data feature vector of each transmission line; the load power consumption cycle change rate of each transmission line is analyzed.

7. The dynamic load intelligent monitoring system for distribution network digital lines according to claim 6 is characterized by: The comprehensive complexity analysis module includes a node dynamic load change complexity analysis unit and a line complexity ratio analysis unit; The node dynamic load change complexity analysis unit analyzes the degree of change of power load corresponding to each load node in each transmission line within the cycle; and analyzes the dynamic load change complexity of each load node in combination with the load power cycle change rate of the transmission line where each load node is located; The line complexity proportion analysis unit constructs a dynamic load change complexity set of the corresponding transmission line based on the dynamic load change complexity of each load node on each transmission line within a period; obtains the dynamic load change complexity set of each load node in the target area by performing intersection calculation on the dynamic load change complexity sets of each transmission line; divides each load node into load node complexity levels based on the dynamic load change degree of each load node in the target area, wherein the influence ratio of the comprehensive dynamic load change complexity growth of each node in the target area within the period is analyzed; sorts each element in the dynamic load change complexity set of each load node in the target area in descending order from large to small, and obtains the number of high-complexity nodes based on the influence ratio of the comprehensive dynamic load change complexity growth of each node in the target area of ​​the period; in the dynamic load change complexity set of each load node in the sorted target area, obtains the load node corresponding to the element with the highest sorting according to the calculated number of high-complexity nodes, and marks the obtained node as a high-complexity node, and the load nodes corresponding to the remaining elements are low-complexity nodes; then, in the target area, counts the high-complexity nodes on each transmission line, and analyzes the period complexity proportion of each corresponding transmission line; According to the analysis results of the cycle complexity ratio of each transmission line, the cycle complexity ratio of each transmission line is sorted in descending order to obtain the real-time complex control priority of each transmission line within the cycle.

8. The dynamic load intelligent monitoring system for distribution network digital lines according to claim 7 is characterized in that: The control feedback module includes a data output unit and a control feedback unit; The data output unit outputs the power consumption change analysis data of each load node in the target area through the simulation terminal, and displays the complexity classification of each node; The control feedback unit outputs a control priority according to the complexity ratio of each transmission line, and performs load transmission control on each transmission line in order from large to small.

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