Transformer load control method based on multi-dimensional power data analysis

Abstract

The invention discloses a transformer load control method based on multi-dimensional electric power data analysis, and relates to the technical field of transformer control, and the method comprises the steps: obtaining the electric power data of each electric power node in a power grid, and carrying out the evaluation of the operation state of the electric power nodes according to the node attributes of the electric power nodes and the node association relation between the nodes, whether the corresponding power nodes are abnormal or not is judged according to the evaluation result, when the operation states of the power nodes are abnormal, corresponding transformer load adjusting instructions are generated, adaptive adjustment of the transformer is achieved according to the generated transformer load adjusting instructions, and therefore all the power nodes can obtain needed input voltage and current; therefore, the normal operation of each power supply line is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer control, and specifically to a transformer load control method based on multi-dimensional power data analysis. Background Art

[0002] In modern power systems, transformers, as key equipment for power transmission and distribution, play a crucial role in ensuring the reliable power supply of the entire power grid. With the rapid economic development and continuous social progress, power demand shows a continuous growth and increasing diversification trend. This makes the operating environment of the power system become increasingly complex, posing higher requirements for the performance and load management of transformers;

[0003] How to adjust the transformers in each power node in the power grid adaptively according to the power data of each power node in the power grid is the problem we need to solve. For this purpose, a transformer load control method based on multi-dimensional power data analysis is provided. Summary of the Invention

[0004] The purpose of the present invention is to provide a transformer load control method based on multi-dimensional power data analysis.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A transformer load control method based on multi-dimensional power data analysis, comprising the following steps:

[0006] Step S1: Set corresponding power monitoring nodes at each location in the power grid, and set corresponding node attributes for each power monitoring node;

[0007] Step S2: Obtain corresponding power node data according to the node attributes of each power monitoring node, and process the obtained power node data of each power monitoring node to obtain a corresponding node operation data graph;

[0008] Step S3: Evaluate the operating status of each power node according to the node operation data graph of each power monitoring node, and generate corresponding transformer load adjustment instructions according to the evaluation results;

[0009] Step S4: The transformer adaptively adjusts the voltage of the corresponding power node according to the generated transformer load adjustment instructions.

[0010] Further, the process of setting corresponding power monitoring nodes at each location in the power grid and setting corresponding node attributes for each power monitoring node includes:

[0011] Count each power node in the power grid area, obtain the location of each power node, and set the location of each power node as the corresponding power monitoring node;

[0012] The power nodes include power supply nodes, power transmission nodes, and power consumption nodes;

[0013] Corresponding node attributes are set for each power monitoring node according to the type of power node, and the node attributes include power supply attributes, power transmission attributes, and power consumption attributes;

[0014] Corresponding node association relationships are set for each power monitoring node according to the power transmission path.

[0015] Further, the node association relationship is as follows:

[0016] Taking the power supply node as a reference point, there is at least one power transmission node connected to the power supply node, and the power transmission node is the lower-order node of the power supply node;

[0017] Taking any power transmission node as a reference point, if there is only one power transmission node directly connected to the power transmission node, the two power transmission nodes are in a same-level sequential association relationship, and the power transmission node is the lower-order node of the reference point;

[0018] Taking any power transmission node as a reference point, if there are multiple power transmission nodes directly connected to the power transmission node, the power transmission node and the multiple power transmission nodes are in a sub-level association relationship, the multiple power transmission nodes are the lower-order nodes of the reference point, and the multiple power transmission nodes are in a same-level parallel relationship;

[0019] Taking any power transmission node as a reference point, if the power transmission node is connected to at least one power consumption node, the power consumption node is the lower-order node of the reference point.

[0020] Further, the process of obtaining corresponding power node data according to the node attributes of each power monitoring node includes:

[0021] Corresponding data acquisition terminals are arranged at each power monitoring node, and the node attributes of each power monitoring node are read through the data acquisition terminals;

[0022] The data acquisition terminal sets corresponding data acquisition items according to the node attributes of the power monitoring node where it is located, including:

[0023] The power supply voltage, power supply current, and ambient temperature of the power supply node;

[0024] The input voltage, input current, output voltage, output current, and ambient temperature of the power transmission node;

[0025] The input voltage, input current, and ambient temperature of the power consumption node;

[0026] Taking each power supply node as a reference point, obtain the power supply route powered by this power supply node, where the power supply route includes several power transmission nodes and power consumption nodes;

[0027] Summarize the power node data obtained by the data acquisition terminals on each power monitoring node to obtain a power data subset corresponding to each power monitoring node, and then summarize to obtain the corresponding power data set;

[0028] According to the node association relationship between each power monitoring node, construct the corresponding power relationship tree diagram, and map the power data subsets in the power data set to each tree node in the power relationship tree diagram.

[0029] Further, the process of processing the power node data of each obtained power monitoring node to obtain the corresponding node operation data diagram includes:

[0030] Generate the corresponding virtual power transmission line according to each transmission path, and generate the corresponding virtual power supply node, virtual power transmission node, and virtual power consumption end on the virtual power transmission line according to the power supply node, each power transmission node, and the power consumption node on the transmission path;

[0031] Map the obtained virtual power transmission line to the corresponding position in the power relationship tree diagram, and read the power data subsets in the corresponding tree nodes;

[0032] According to the power supply voltage, power supply current, and ambient temperature of each power supply node on the virtual power transmission line, as well as the input voltage, input current, and ambient temperature of the subordinate sequential nodes connected to the power supply node;

[0033] Obtain the predicted input voltage and predicted input current of this power supply node and each subordinate sequential node;

[0034] Map the obtained predicted input voltage and predicted input current to the corresponding virtual power transmission nodes;

[0035] Then, through the output voltage, output current, and ambient temperature of each power transmission node, as well as the input voltage, input current, and ambient temperature of the corresponding subordinate sequential nodes, obtain the predicted input voltage and predicted input current of the corresponding power transmission node or power consumption node, and map them to the corresponding virtual power transmission node or virtual power consumption end;

[0036] After completing the state mapping of all virtual power supply nodes, virtual power transmission nodes, and virtual power consumption ends, obtain the corresponding node operation data diagram.

[0037] Further, the process of evaluating the operation status of each power node according to the node operation data diagram of each power monitoring node includes:

[0038] Set corresponding deviation coefficients for each power transmission node;

[0039] By comparing the ratios of the predicted input voltage to the input voltage and the predicted input current to the input current of the obtained lower-level sequential nodes with the deviation coefficients respectively, determine whether the operating state of the corresponding node is an abnormal state according to the comparison results;

[0040] Taking each power supply line as a reference, obtain the nodes marked as abnormal states on each power supply line;

[0041] According to the location of the nodes marked as abnormal states on the power supply line, mark the foremost node as the node to be regulated, and generate a transformer load regulation instruction corresponding to this node to be regulated.

[0042] Further, the process of the transformer adaptively regulating the voltage of the corresponding power node according to the generated transformer load regulation instruction includes:

[0043] Set several groups of load regulation ratios according to the transformer load regulation instruction;

[0044] According to the load regulation ratios, sequentially adjust the regulation ratios of the regulating transformers of the nodes to be regulated, so as to obtain the actual output voltages corresponding to each load regulation ratio;

[0045] Then obtain the corresponding predicted output voltages according to the input voltage and each load regulation ratio;

[0046] Furthermore, obtain the regulation correction coefficient of the transformer;

[0047] Then update the regulation ratio of the transformer of the corresponding node to be regulated, and regulate the transformer through the updated regulation ratio.

[0048] Compared with the prior art, the beneficial effects of the present invention are:

[0049] By obtaining the power data of each power node in the power grid, evaluating the operating state of the power node according to the node attributes of the power node and the node association relationship between the nodes, judging whether the corresponding power node is abnormal according to the evaluation results, generating a corresponding transformer load regulation instruction when the operating state of the power node is abnormal, and realizing an adaptive adjustment of the transformer according to the generated transformer load regulation instruction, so that each power node can obtain the required input voltage and current, thereby ensuring the normal operation of each power supply line. Brief Description of the Drawings

[0050] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0051] Figure 1 This is the schematic diagram of the present invention. Detailed implementation manners

[0052] As Figure 1 shown, a transformer load control method based on multi-dimensional power data analysis includes the following steps:

[0053] Step S1: Set corresponding power monitoring nodes at each location in the power grid, and set corresponding node attributes for each power monitoring node;

[0054] Step S2: Obtain corresponding power node data according to the node attributes of each power monitoring node, and process the power node data of each obtained power monitoring node to obtain a corresponding node operation data graph;

[0055] Step S3: Evaluate the operating status of each power node according to the node operation data graph of each power monitoring node, and generate a corresponding transformer load adjustment instruction according to the evaluation result;

[0056] Step S4: The transformer adaptively adjusts the voltage of the corresponding power node according to the generated transformer load adjustment instruction.

[0057] It should be further noted that, in the specific implementation process, the process of setting corresponding power monitoring nodes at each location in the power grid and setting corresponding node attributes for each power monitoring node includes:

[0058] Count each power node in the power grid area, obtain the location of each power node, and set the location of each power node as the corresponding power monitoring node;

[0059] The power nodes include power supply nodes, power transmission nodes, and power consumption nodes;

[0060] Set corresponding node attributes for each power monitoring node according to the type of power node. The node attributes include power supply attributes, power transmission attributes, and power consumption attributes;

[0061] Set corresponding node association relationships for each power monitoring node according to the power transmission path. It should be further noted that, in the specific implementation process, the node association relationship is specifically;

[0062] Taking the power supply node as a reference point, there is at least one power transmission node connected to the power supply node, and the power transmission node is the lower-order node of the power supply node;

[0063] Taking any power transmission node as a reference point, if there is only one power transmission node directly connected to the power transmission node, then the two power transmission nodes are in a same-level sequential association relationship, and the power transmission node is the lower-order node of the reference point;

[0064] Taking any power transmission node as a reference point, if there are multiple power transmission nodes directly connected to the power transmission node, then the power transmission node and the multiple power transmission nodes are in a sub-level association relationship, the multiple power transmission nodes are the lower-order nodes of the reference point, and the multiple power transmission nodes are in a same-level parallel relationship;

[0065] Taking any power transmission node as a reference point, if the power transmission node is connected to at least one power consumption node, then the power consumption node is the lower-order node of the reference point.

[0066] It should be further noted that in the specific implementation process, the process of obtaining the corresponding power node data according to the node attributes of each power monitoring node includes:

[0067] Arranging corresponding data acquisition terminals at each power monitoring node, and reading the node attributes of each power monitoring node through the data acquisition terminals;

[0068] The data acquisition terminal sets corresponding data acquisition items according to the node attributes of the power monitoring node where it is located, and the data acquisition terminal acquires the corresponding power node data according to the set data acquisition items, where:

[0069] When the node attribute is a power supply attribute, the power node data corresponding to the corresponding data acquisition item includes power supply voltage, power supply current, and ambient temperature;

[0070] When the node attribute is a power transmission attribute, the data acquisition items include input voltage, input current, output voltage, output current, and ambient temperature;

[0071] When the node attribute is a power consumption node, the data acquisition items include input voltage, input current, and ambient temperature;

[0072] Taking each power supply node as a reference point, a power supply route powered by the power supply node is obtained, and the power supply route includes several power transmission nodes and power consumption nodes;

[0073] Summarize the power node data obtained by the data acquisition terminals on each power monitoring node to obtain a power data subset corresponding to each power monitoring node;

[0074] Summarize the respective power data subsets obtained by the data acquisition terminals at each power transmission node and power consumption node on each power supply line to obtain the corresponding power data set;

[0075] Construct a corresponding power relationship tree diagram according to the node association relationship between each power monitoring node, and map the power data subsets in the power data set to each tree node in the power relationship tree diagram.

[0076] It should be further noted that in the specific implementation process, the process of processing the power node data of each obtained power monitoring node to obtain the corresponding node operation data diagram includes:

[0077] Generate corresponding virtual power transmission lines according to each transmission path, and generate corresponding virtual power supply nodes, virtual power transmission nodes and virtual power consumption ends on the virtual power transmission lines according to the power supply nodes, each power transmission node and power consumption node on the transmission path;

[0078] Map the obtained virtual power transmission lines to the corresponding positions in the power relationship tree diagram, and read the power data subsets in the corresponding tree nodes;

[0079] The power supply voltage, power supply current and ambient temperature of each power supply node on the virtual power transmission line are respectively denoted as U g 、I g 、T g ;

[0080] Obtain the input voltage, input current, output voltage, output current and ambient temperature of the lower-order sequential nodes connected to the power supply node, and label the lower-order sequential nodes as i, where i = 1, 2,..., n;

[0081] Then the input voltage, input current, output voltage, output current and ambient temperature of the lower-order sequential node labeled i are respectively denoted as Ur i 、Ir i 、Uc i 、Ic i 、T i ;

[0082] Obtain the prediction parameter group of the power supply node and each lower-order sequential node, and the prediction parameter group includes the predicted input voltage and predicted input current. The predicted input voltage and predicted input current of the lower-order sequential node labeled i are respectively denoted as Uyr i and Iyr i , where:

[0083] Iyr i =F i ×I g -Is i ;

[0084]

[0085] Among them, β g is the regulation ratio of the transformer at the power supply node, and ρ i is the line resistivity between the power supply node and the transmission node labeled i, S i is the cross-sectional area of the line between the power supply node and the transmission node labeled i, L i is the length of the line between the power supply node and the transmission node labeled i, α is the resistance temperature coefficient, T0 is the standard reference temperature, F i is the current distribution coefficient of the transmission node labeled i, Is i is the standard loss line current between the power supply node and the transmission node labeled i;

[0086] Map the obtained predicted input voltage and predicted input current into the corresponding virtual transmission node;

[0087] Then, through the output voltage, output current and ambient temperature of each transmission node, as well as the input voltage, input current and ambient temperature of the corresponding lower-level sequential node, obtain the predicted input voltage and predicted input current of the corresponding transmission node or power consumption node, and map them to the corresponding virtual transmission node or virtual power consumption end;

[0088] After completing the state mapping of all virtual power supply nodes, virtual transmission nodes and virtual power consumption ends, obtain the corresponding node operation data graph.

[0089] It should be further noted that in the specific implementation process, the process of evaluating the operating status of each power node according to the node operation data graph of each power monitoring node and generating the corresponding transformer load regulation instruction includes:

[0090] Set the corresponding deviation coefficient for each transmission node, denoted as X i ;

[0091] If Iyr i / Ir i <X i , and Uyr i / Ur i <X i , it means that the transformer at the power supply node and the line between the power supply node and the transmission node labeled i are normal, and then mark the corresponding virtual power supply node and virtual transmission node as the normal state;

[0092] If it does not satisfy Iyr i / Ir i <X i , and Uyr i / Uri <X i When it is, it indicates that there is an abnormality in the transformer of the power supply node or the line between the power supply node and the transmission node labeled i, and the corresponding virtual power supply node and virtual transmission node are marked as abnormal states;

[0093] And so on, obtain the operating states of other transmission nodes and power consumption nodes;

[0094] Taking each power supply line as a reference, obtain the nodes marked as abnormal states on each power supply line;

[0095] According to the location of the nodes marked as abnormal states on the power supply line, mark the earliest node as the node to be regulated, and generate a transformer load regulation instruction corresponding to the node to be regulated;

[0096] It should be further noted that in the specific implementation process, the transformer adaptively regulates the voltage of the corresponding power node according to the generated transformer load regulation instruction

[0097] Set several groups of load regulation ratios according to the transformer load regulation instruction, and the load regulation ratios form an arithmetic progression;

[0098] According to the load regulation ratio, sequentially adjust the regulation ratio of the transformer of the node to be regulated, so as to obtain the actual output voltage corresponding to each load regulation ratio;

[0099] Then obtain the corresponding predicted output voltage according to the input voltage and each load regulation ratio;

[0100] Label the set load regulation ratios, denoted as j, where j = 1, 2,..., m;

[0101] Denote the set of actual output voltages and predicted output voltages corresponding to each load regulation ratio as Su j and Yu j ;

[0102] Then obtain the regulation correction coefficient of the transformer, denoted as Tx, where:

[0103]

[0104] where α is the tolerance of the load regulation ratio;

[0105] Then update the regulation ratio of the transformer corresponding to the node to be regulated, and the updated regulation ratio is denoted as Tg;

[0106] Tg = (1 - Tx / α)β;

[0107] where β is the original regulation ratio of the transformer;

[0108] After completing the load regulation of the transformer, re-evaluate the node to be regulated. If the evaluation result is still in an abnormal state, mark the node to be regulated as a faulty node, and send the faulty node and the corresponding power data to the power center. The power center will arrange technicians to troubleshoot the faulty node.

[0109] The above are only the preferred embodiments of the present invention, and do not impose any form of limitation on the present invention. Although the present invention has been disclosed above with preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments by using the disclosed technical content within the scope of the technical solution of the present invention. However, as long as it does not depart from the content of the technical solution of the present invention, any modification or equivalent replacement made to the above embodiments based on the technical essence of the present invention still falls within the scope of the technical solution of the present invention.

Claims

1. A transformer load control method based on multi-dimensional power data analysis, characterized in that: The following steps are involved: Step S1: setting a corresponding power monitoring node for each location in the power grid, and setting corresponding node attributes for each power monitoring node; Step S2: acquiring corresponding power node data according to the node attributes of each power monitoring node, and processing the acquired power node data of each power monitoring node to obtain a corresponding node operation data graph; Step S3: evaluating the operation status of each power node according to the node operation data diagram of each power monitoring node, and generating a corresponding transformer load adjustment instruction according to the evaluation result; Step S4: the transformer adapts and adjusts the voltage of the corresponding power node according to the generated transformer load adjustment instruction.

2. A transformer load control method based on multi-dimensional power data analysis according to claim 1, characterized in that: The process of setting a corresponding power monitoring node for each location in the power grid and setting a corresponding node attribute for each power monitoring node includes: Collect statistics on each power node in the power grid area, obtain the location of each power node, and set the location of each power node as the corresponding power monitoring node; The power nodes include power supply nodes, power transmission nodes and power consumption nodes; According to the type of power node, corresponding node attributes are set for each power monitoring node, wherein the node attributes include power supply attributes, power transmission attributes, and power consumption attributes; For each power monitoring node, a corresponding node association relationship is set according to the power transmission path.

3. A transformer load control method based on multi-dimensional power data analysis according to claim 2, characterized in that: The node association relationship is: Taking the power supply node as a reference point, there is at least one transmission node connected to the power supply node, and the transmission node is a lower-level sequential node of the power supply node; Taking any transmission node as a reference point, if there is only one transmission node directly connected to the transmission node, the two transmission nodes are in a same-level sequential association relationship, and the transmission node is a lower-level sequential node of the reference point; Taking any transmission node as a reference point, if there are multiple transmission nodes directly connected to the transmission node, the transmission node and the multiple transmission nodes are in a sub-level association relationship, the multiple transmission nodes are subordinate sequential nodes of the reference point, and the multiple transmission nodes are in a same-level parallel relationship; Taking any transmission node as a reference point, if the transmission node is connected to at least one power consumption node, the power consumption node is the lower-level sequential node of the reference point.

4. A transformer load control method based on multi-dimensional power data analysis according to claim 3, characterized in that: The process of obtaining corresponding power node data according to the node attributes of each power monitoring node includes: A corresponding data acquisition terminal is arranged at each power monitoring node, and node attributes of each power monitoring node are read through the data acquisition terminal; The data acquisition terminal sets corresponding data acquisition items according to the node attributes of the power monitoring node, including: The supply voltage, supply current and ambient temperature of the power supply node; Input voltage, input current, output voltage, output current and ambient temperature of the transmission node; Input voltage, input current and ambient temperature of the power node; Taking each power supply node as a reference point, obtaining a power supply route provided by the power supply node, wherein the power supply route includes a plurality of power transmission nodes and power consumption nodes; Summarize the power node data obtained by the data acquisition terminal on each power monitoring node to obtain a power data subset corresponding to each power monitoring node, and summarize them to obtain a corresponding power data set; According to the node association relationship between each power monitoring node, a corresponding power relationship tree diagram is constructed, and the power data subset in the power data set is mapped to each tree node in the power relationship tree diagram.

5. A transformer load control method based on multi-dimensional power data analysis according to claim 4, characterized in that: The process of processing the obtained power node data of each power monitoring node to obtain the corresponding node operation data graph includes: Generate a corresponding virtual transmission line according to each transmission path, and generate corresponding virtual power supply nodes, virtual power transmission nodes and virtual power consumption terminals on the virtual transmission line according to the power supply nodes, each power transmission node and power consumption node on the transmission path; Mapping the obtained virtual transmission line to a corresponding position in the power relationship tree diagram, and reading a subset of power data in a corresponding tree node; According to the supply voltage, supply current and ambient temperature of each power supply node on the virtual transmission line and the input voltage, input current and ambient temperature of the lower order node connected to the power supply node; Obtaining predicted input voltage and predicted input current of the power supply node and each lower-level sequential node; Mapping the obtained predicted input voltage and predicted input current to the corresponding virtual transmission node; Then, the predicted input voltage and predicted input current of the corresponding transmission node or power consumption node are obtained through the output voltage, output current and ambient temperature of each transmission node and the input voltage, input current and ambient temperature of the corresponding lower-level sequential node, and mapped to the corresponding virtual transmission node or virtual power consumption terminal; After completing the status mapping of all virtual power supply nodes, virtual power transmission nodes and virtual power consumption terminals, the corresponding node operation data graph is obtained.

6. A transformer load control method based on multi-dimensional power data analysis according to claim 5, characterized in that: The process of evaluating the operation status of each power node according to the node operation data graph of each power monitoring node includes: Setting a corresponding deviation coefficient for each transmission node; By comparing the ratio of the predicted input voltage to the input voltage and the ratio of the predicted input current to the input current of the lower-level sequential node with the deviation coefficient, it is determined whether the operation state of the corresponding node is an abnormal state according to the comparison result; Taking each power supply line as a reference, obtaining nodes of each power supply line that are marked as abnormal; According to the location of the node marked as abnormal on the power supply line, the front node is marked as a node to be regulated, and a transformer load regulation instruction corresponding to the node to be regulated is generated.

7. A transformer load control method based on multi-dimensional power data analysis according to claim 6, characterized in that: The process of the transformer adapting and adjusting the voltage of the corresponding power node according to the generated transformer load adjustment instruction includes: Setting several group load adjustment ratios according to the transformer load adjustment instruction; According to the load regulation ratio, the regulation ratio of the regulating transformer of the node to be regulated is adjusted in turn, so as to obtain the actual output voltage corresponding to each load regulation ratio; Then, the corresponding predicted output voltage is obtained according to the input voltage and each load regulation ratio; Then the adjustment correction coefficient of the transformer is obtained; The regulation ratio of the transformer corresponding to the node to be regulated is updated, and the transformer is regulated by the updated regulation ratio.

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