Method and system for dynamic aggregation of information on distributed power resources

Abstract

The present invention relates to the technical field of power information aggregation, and specifically discloses a method and system for dynamic aggregation of information on distributed power resources, the method comprising obtaining actual parameters of a mobile terminal based on a locator built into the mobile terminal, comparing the actual parameters with standard parameters, and determining the degree of abnormality of each information node; determining the data upload frequency of each information node based on the degree of abnormality, performing data fitting on each information node, and obtaining predicted data at each information node. The present invention adds a mobile terminal to perform close-range detection on each information node, and then determines the degree of abnormality at each information node, and adjusts the data upload frequency of the information node based on the degree of abnormality, so that the entire system uploads data at a low frequency in a safe state and at a high frequency in an abnormal state, greatly alleviating the working pressure of the acquisition component, and is extremely suitable for scenarios with abundant power resources.

Description

Technical Field

[0001] The present invention relates to the technical field of power information aggregation, and in particular to a method and system for dynamically aggregating information on distributed power resources. Background Art

[0002] Renewable energy sources like wind and photovoltaic power generation offer low single-unit output power and are easy to install and use. This has led to an explosive growth in the number of power sources in the power grid, posing significant challenges to grid operation and control. Data collection is a prerequisite for grid operation and control. The higher the quality of the collected data, the more accurate the subsequent control process.

[0003] In existing control systems, in order to improve control capabilities, the data acquisition frequency is greatly increased. This high-frequency data acquisition process is actually unnecessary because the power system itself is in a very stable state. When the frequency reaches a certain value, the benefits of increasing the frequency will be very low. Therefore, how to create a more suitable data acquisition architecture and improve cost utilization is the technical problem that the technical solution of the present invention aims to solve. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for dynamically aggregating information of distributed power resources to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for dynamically aggregating information on distributed power resources, the method comprising:

[0007] Obtain distributed power resources in the power system and select information nodes in the power network based on the distributed power resources;

[0008] generating a data acquisition path containing standard parameters based on the information node, and sending the data acquisition path containing the standard parameters to the mobile terminal; the standard parameters are used to characterize the motion parameters of the mobile terminal on the data acquisition path;

[0009] The actual parameters of the mobile terminal are obtained based on the locator built into the mobile terminal. The actual parameters are compared with the standard parameters to determine the abnormality of each information node.

[0010] Determine the data upload frequency of each information node based on the degree of abnormality, perform data fitting on each information node, and obtain the predicted data at each information node;

[0011] Regularly obtain local data at information nodes, compare local data with predicted data, and adjust the frequency of data upload;

[0012] During the movement, the mobile terminal collects and identifies instantaneous data at each information node, determines the risk value of the instantaneous data, and adjusts the movement process according to the risk value.

[0013] As a further solution of the present invention: the step of obtaining distributed power resources in the power system and selecting information nodes in the power network according to the distributed power resources includes:

[0014] Querying distribution information of power resources in a power system; the distribution information includes resource type and resource location;

[0015] Query the connection segment of each power resource in the power network based on the resource location, and determine the selection utility value of the connection segment based on the resource type;

[0016] Counting the selected utility value of each connection network segment, and marking the connection network segment whose selected utility value reaches a preset dynamic threshold; the dynamic threshold is an attribute value of the connection network segment;

[0017] Select information nodes in the marked connection segments and synchronously update the dynamic thresholds of all connection segments;

[0018] The updating process of the dynamic threshold is as follows:

[0019] Where, is the dynamic threshold, is the preset baseline threshold, is the preset correction factor, is the total number of marked connected network segments within the preset range, For the The distance between the marked connected network segment and the current connected network segment.

[0020] As a further solution of the present invention: the step of generating a data acquisition path containing standard parameters based on the information node and sending the data acquisition path containing the standard parameters to the mobile terminal includes:

[0021] For any information node, query all power resources within the preset range of the information node;

[0022] Determining the resource amount of the information node based on the queried power resources; the resource amount calculation process includes querying the preset unit resource amount of each power resource and accumulating the unit resource amount of the power resource;

[0023] Clustering information nodes into a preset number of clusters based on their resource volume and distance;

[0024] For each type of information node, each information node is used as a passing point to generate a data collection path, and the collection time at each information node is simultaneously determined to determine the standard parameters;

[0025] The data collection path containing standard parameters corresponding to each type of information node is sent to the mobile terminal.

[0026] As a further solution of the present invention, the step of obtaining actual parameters of the mobile terminal according to the locator built into the mobile terminal, comparing the actual parameters with the standard parameters, and determining the abnormality of each information node includes:

[0027] Obtain the location of the mobile terminal in real time based on the locator built into the mobile terminal;

[0028] Determine the actual parameters of each mobile terminal based on the location of the mobile terminal;

[0029] Query the standard parameters of the data collection path on the mobile terminal, compare the actual parameters with the standard parameters, and determine the abnormality of each information node;

[0030] The process of comparing actual parameters with standard parameters and determining the abnormality of each information node includes:

[0031] Converting actual parameters into actual position tables based on a preset time step;

[0032] Converting standard parameters into a standard position table based on a preset time step;

[0033] Sequentially read the actual position in the actual position table, query its corresponding standard position in the standard position table, and calculate the backward distance;

[0034] When the backward distance reaches a preset threshold, the current position is marked and the standard position table is corrected based on the current position;

[0035] The abnormality of the current position is determined according to the backward distance; the abnormality is proportional to the backward distance.

[0036] As a further solution of the present invention, the steps of determining the data upload frequency of each information node according to the abnormality degree, performing data fitting on each information node, and obtaining the predicted data at each information node include:

[0037] Query the position of the information node in the corresponding data collection path and query the degree of anomaly;

[0038] Determining a data upload frequency for each information node according to the abnormality degree; the data upload frequency is proportional to the abnormality degree;

[0039] For each information node, its known data is counted and fitted to obtain the fitting data at each moment as the predicted data at the information node.

[0040] As a further solution of the present invention, the steps of regularly acquiring local data at the information node, comparing the local data with the predicted data, and adjusting the data upload frequency include:

[0041] For any information node, regularly collect statistics on the data stored locally at the information node;

[0042] Compare local data and predicted data based on the time domain relationship and calculate the prediction accuracy;

[0043] The additional frequency of the information node is determined according to the prediction accuracy, and the data upload frequency of the information node is adjusted; wherein the additional frequency is proportional to the prediction accuracy.

[0044] The technical solution of the present invention also provides a distributed power resource information dynamic aggregation system, the system comprising:

[0045] An information node selection module is used to obtain distributed power resources in the power system and select information nodes in the power network based on the distributed power resources;

[0046] a path generation and transmission module, configured to generate a data acquisition path containing standard parameters based on the information node, and transmit the data acquisition path containing the standard parameters to the mobile terminal; the standard parameters are used to characterize the motion parameters of the mobile terminal on the data acquisition path;

[0047] The abnormality determination module is used to obtain the actual parameters of the mobile terminal based on the locator built into the mobile terminal, compare the actual parameters with the standard parameters, and determine the abnormality of each information node;

[0048] The data fitting module is used to determine the data upload frequency of each information node according to the abnormality degree, perform data fitting on each information node, and obtain the predicted data at each information node;

[0049] The frequency adjustment module is used to regularly obtain local data at the information node, compare the local data with the predicted data, and adjust the data upload frequency;

[0050] During the movement, the mobile terminal collects and identifies instantaneous data at each information node, determines the risk value of the instantaneous data, and adjusts the movement process according to the risk value.

[0051] As a further solution of the present invention: the information node selection module includes:

[0052] A distribution information query unit, configured to query distribution information of power resources in the power system; the distribution information includes resource type and resource location;

[0053] A utility value determination unit, configured to query a connection segment of each power resource in the power network according to the resource location, and determine a selected utility value of the connection segment according to the resource type;

[0054] a network segment selection unit, configured to count the selection utility value of each connection network segment and mark the connection network segment whose selection utility value reaches a preset dynamic threshold; the dynamic threshold is an attribute value of the connection network segment;

[0055] A selection execution unit is used to select an information node in the marked connection network segment and synchronously update the dynamic threshold value of all connection network segments;

[0056] The updating process of the dynamic threshold is as follows:

[0057] Where, is the dynamic threshold, is the preset baseline threshold, is the preset correction factor, is the total number of marked connected network segments within the preset range, For the The distance between the marked connected network segment and the current connected network segment.

[0058] As a further solution of the present invention: the path generation and sending module includes:

[0059] The power resource query unit is used to query all power resources within a preset range of any information node;

[0060] A resource amount determination unit is used to determine the resource amount of the information node based on the queried power resources; the resource amount calculation process includes querying the preset unit resource amount of each power resource and accumulating the unit resource amount of the power resource;

[0061] A node clustering unit, configured to cluster information nodes into a preset number of clusters based on the resource amount and distance of the information nodes;

[0062] A path generation unit is used to generate a data collection path for each type of information node, taking each information node as a waypoint, synchronously determining the collection time at each information node, and determining standard parameters;

[0063] The path sending unit is used to send the data collection path containing standard parameters corresponding to each type of information node to the mobile terminal.

[0064] As a further solution of the present invention: the abnormality determination module includes:

[0065] A location acquisition unit, configured to acquire the location of the mobile terminal in real time based on a locator built into the mobile terminal;

[0066] An actual parameter acquisition unit, used to determine the actual parameters of each mobile terminal according to the location of the mobile terminal;

[0067] The parameter comparison unit is used to query the standard parameters of the data collection path of the mobile terminal, compare the actual parameters with the standard parameters, and determine the abnormality of each information node;

[0068] The process of comparing actual parameters with standard parameters and determining the abnormality of each information node includes:

[0069] Converting actual parameters into actual position tables based on a preset time step;

[0070] Converting standard parameters into a standard position table based on a preset time step;

[0071] Sequentially read the actual position in the actual position table, query its corresponding standard position in the standard position table, and calculate the backward distance;

[0072] When the backward distance reaches a preset threshold, the current position is marked and the standard position table is corrected based on the current position;

[0073] The abnormality of the current position is determined according to the backward distance; the abnormality is proportional to the backward distance.

[0074] Compared with the prior art, the beneficial effects of the present invention are: the present invention adds a mobile terminal to perform close-range detection on each information node, and then determines the degree of abnormality at each information node, and adjusts the data upload frequency of the information node according to the degree of abnormality, so that the entire system uploads data at a low frequency in a safe state and uploads data at a high frequency in an abnormal state. This is an information aggregation architecture that can greatly alleviate the working pressure of the collection components under the premise of ensuring data collection accuracy, and is extremely suitable for scenarios with abundant power resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0076] Figure 1 The flowchart of the method for dynamically aggregating information of distributed power resources is shown in FIG.

[0077] Figure 2 This is a block diagram of the first sub-process of the method for dynamically aggregating information on distributed power resources.

[0078] Figure 3 This is a second sub-flow chart of the method for dynamically aggregating information on distributed power resources.

[0079] Figure 4 This is a block diagram of the third sub-process of the method for dynamically aggregating information on distributed power resources.

[0080] Figure 5 This is a fourth sub-process flow chart of the method for dynamically aggregating information of distributed power resources.

[0081] Figure 6 This is a fifth sub-flow chart of the method for dynamically aggregating information of distributed power resources.

[0082] Figure 7 This is a structural block diagram of the distributed power resource information dynamic aggregation system. DETAILED DESCRIPTION

[0083] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0084] Figure 1 This is a flowchart of a method for dynamically aggregating information on distributed power resources. In an embodiment of the present invention, a method for dynamically aggregating information on distributed power resources includes:

[0085] Step S100: obtaining distributed power resources in the power system, and selecting information nodes in the power network according to the distributed power resources;

[0086] There are many types of power resources in wind power systems and a large number of them. The technical solution of the present invention is mainly used in wind power systems to obtain distributed power resources in the power system. Distributed power resources refer to small-scale, modular energy resources deployed on the user side or near the load center, which can operate independently or in coordination with the power grid, including power generation resources, power storage resources and power consumption resources, specifically each node. The distributed power resources are analyzed, and according to the connection relationship between each power resource and the power network (existing line network), some nodes in the power network are selected, called information nodes, and power meters are installed at the information nodes to obtain power parameters, including current, voltage and power, etc. The specific details will be determined by the staff according to the situation.

[0087] Step S200: generating a data acquisition path containing standard parameters based on the information node, and sending the data acquisition path containing the standard parameters to the mobile terminal; the standard parameters are used to characterize the motion parameters of the mobile terminal on the data acquisition path;

[0088] The information nodes are counted and a data collection path is generated using the information nodes as waypoints. When generating the data collection path, standard parameters need to be recorded. The standard parameters include movement speed, which is used to control the movement state of the mobile terminal on the data collection path. In the technical solution of the present invention, the standard parameters also include the length of stay at the information node, which is also a kind of data for controlling the movement process of the mobile terminal.

[0089] The data acquisition path containing standard parameters is sent to the mobile terminal, and the mobile terminal generates control instructions according to the standard parameters, so that the mobile terminal can move along the data acquisition path and collect data when it reaches each information node. The mobile terminal obtains the data at the information node. The transmission distance is very short, more transmission methods can be used, and the data transmission speed and consumption are lower.

[0090] Step S300: obtaining actual parameters of the mobile terminal according to the locator built into the mobile terminal, comparing the actual parameters with standard parameters, and determining the abnormality degree of each information node;

[0091] After the executor of the technical solution of the present invention remotely obtains the movement state of the mobile terminal, it can reversely deduce the abnormal situation of each information node, which is represented by the parameter of abnormality degree; the working process of the mobile terminal is independent. During the movement process, the mobile terminal collects and identifies the instantaneous data at each information node, determines the risk value of the instantaneous data, and adjusts the movement process according to the risk value; specifically, the simplest identification process is the comparison process, for example, whether the instantaneous data exceeds a certain risk threshold. If it exceeds, the excess amount is calculated. It may stay at an information node for several seconds or tens of seconds. All excess amounts within the cumulative stay period can be used to determine the abnormality degree; the mobile terminal will adjust the stay time according to the abnormality degree. For example, the extended time is determined according to the abnormality degree, and the extended time is added to the existing stay time to extend the stay time at each information node.

[0092] It should be noted that the working process of the mobile terminal in this process is independent, so it will have an actual motion parameter, called the actual parameter; the actual parameter can be obtained by the locator built into the mobile terminal. Therefore, the executor of the technical solution of the present invention can remotely obtain how long the mobile terminal stays at each information node, and then determine the abnormal situation at each information node. This process does not require direct data transmission with the information node, but transmits data between the mobile terminal, which greatly alleviates the working pressure of the detection equipment at the information node.

[0093] Step S400: determining the data upload frequency of each information node according to the abnormality degree, performing data fitting on each information node, and obtaining the predicted data at each information node;

[0094] From the above content, we can know that the anomaly degree is used to reflect the abnormal situation at each information node. The higher the anomaly degree, the more abnormal the situation. Correspondingly, the data upload frequency of the corresponding information node must be higher. For example, the normal state is to upload once every 5 seconds, but now it is uploaded once every 3 seconds. For each information node, based on all its known data, the data at each time of the information node can be fitted. This is equivalent to fitting a continuous function based on some discrete data (data at different times) as the predicted data at the information node.

[0095] Step S500: regularly acquiring local data at the information node, comparing the local data with the predicted data, and adjusting the data upload frequency;

[0096] In an example of the technical solution of the present invention, the frequency of the data collection process of the information node is very high, which is equivalent to real-time data collection, and the data upload frequency is adjustable, which is adjusted by steps S100 to S400; specifically, for the executor of the technical solution of the present invention, it is necessary to read the locally stored data at the information node at regular intervals to retain the information. The process of reading local data can be completed by another mobile terminal. The simplest way is to replace the storage disk. After obtaining the local data at each information node, the local data and the predicted data are compared to determine the accuracy of the predicted data. The accuracy of the predicted data is the accuracy of the fitting process. The data upload frequency is adjusted according to the accuracy. The lower the accuracy, the higher the data upload frequency, and more data can be read remotely.

[0097] Since steps S100 to S400 are the main data upload frequency determination process, and step S500 is only an auxiliary process, the adjustment in step S500 mostly only generates an additional frequency for adjusting the minimum value of the data upload frequency at the information node.

[0098] Figure 2 This is a block diagram of the first sub-process of the method for dynamically aggregating information of distributed power resources. The steps of obtaining distributed power resources in the power system and selecting information nodes in the power network according to the distributed power resources include:

[0099] Step S101: querying the distribution information of power resources in the power system; the distribution information includes resource type and resource location;

[0100] Step S102: querying the connection segment of each power resource in the power network according to the resource location, and determining the selection utility value of the connection segment according to the resource type;

[0101] Step S103: Counting the selection utility value of each connection network segment, and marking the connection network segment whose selection utility value reaches a preset dynamic threshold; the dynamic threshold is an attribute value of the connection network segment;

[0102] Step S104: selecting information nodes in the marked connection network segments, and synchronously updating the dynamic thresholds of all connection network segments.

[0103] The distribution information of power resources is known data and can be directly queried in the power system. The distribution information includes resource type and resource location, indicating which resources are at which location. The connection segment of each power resource in the power network is queried based on the resource location. The connection segment refers to which segments in the power network the power resource is connected to. The selected utility value of the connection segment is determined based on the resource type. The selected utility value is a concept in the technical solution of the present invention, which is used to evaluate the value of the selection, count the selected utility value of each connection segment, mark the connection segment whose selected utility value reaches a preset dynamic threshold, and select information nodes in the marked connection segment. Since the power parameters on the same line are almost the same, the selection location of the information node is not limited here. Considering the installation problem, it will generally be near existing facilities. When installing the electricity meter, it can be connected to the existing support equipment.

[0104] Specifically, for the selection process, each connected network segment has an independent threshold, and the threshold can be changed, so it is called a dynamic threshold. The dynamic threshold is related to the marking process. Every time an information node is selected, the dynamic threshold is updated.

[0105] Furthermore, the updating process of the dynamic threshold is as follows:

[0106] Where, is the dynamic threshold, is the preset baseline threshold, is the preset correction factor, is the total number of marked connected network segments within the preset range, For the The distance between the marked connected network segment and the current connected network segment.

[0107] The dynamic threshold has a minimum value, which is On this basis, the marked connection segments around any connection segment are queried, the distance between each marked connection segment and the current connection segment is calculated, the influence value is determined according to the inverse ratio of the distance, the influence values ​​of all marked connection segments on the current connection segment are accumulated, and then multiplied by the preset correction coefficient A to obtain the additional threshold, which is added to the baseline threshold to obtain the updated dynamic threshold; therefore, the fewer the marked connection segments around, the farther the distance, the smaller the additional threshold, the easier it is for the selected utility value to reach the additional threshold, and the more likely it is to be selected.

[0108] It is worth mentioning that the correction factor contains a unit, which is used to make the additional threshold and the baseline threshold have the same dimension.

[0109] Figure 3 This is a second sub-flow diagram of the method for dynamically aggregating information of distributed power resources. The steps of generating a data acquisition path containing standard parameters based on the information node and sending the data acquisition path containing the standard parameters to the mobile terminal include:

[0110] Step S201: For any information node, query all power resources within a preset range of the information node;

[0111] Step S202: determining the resource amount of the information node based on the queried power resources; the resource amount calculation process includes querying the preset unit resource amount of each power resource and accumulating the unit resource amount of the power resource;

[0112] Step S203: clustering the information nodes into a preset number of categories according to the resource amount and distance of the information nodes;

[0113] Step S204: For each type of information node, each information node is used as a waypoint to generate a data collection path, and the collection time at each information node is simultaneously determined to determine the standard parameters;

[0114] Step S205: Send the data collection path containing standard parameters corresponding to each type of information node to the mobile terminal.

[0115] In an example of the technical solution of the present invention, for any information node, all power resources within a preset range of the information node are queried. The preset range is generally a circular range. The resource amount of the information node is determined based on the queried power resources. The resource amount calculation process is very simple. The unit resource amount of each power resource within the preset range is queried, and the unit resource amounts are superimposed to obtain the final resource amount. The information nodes are clustered into a preset number of categories based on the resource amount and distance of the information nodes. The clustering of the preset number of categories is a clustering process with a pre-set number of clustering categories, such as K-means clustering, where the K value is a preset value. For each type of information node, each information node is used as a waypoint to generate a data collection path, and the collection time at each information node is simultaneously determined to determine the standard parameters.

[0116] The essence of the above process is to divide all information nodes into multiple categories of nodes, so that information nodes with similar resource amounts and close distances are classified into one category. Data is then collected for each category of information nodes to simplify the working process of the mobile terminal so that the performance of the mobile terminal can be determined according to the situation. For example, for a category of information nodes with smaller resource amounts, a lower-performance mobile terminal can be used. With the cost fixed, "teaching students in accordance with their aptitude" can be achieved, thereby indirectly improving the utilization rate of the mobile terminal.

[0117] The process of data collection for each type of information node is to use each information node as a waypoint, generate a data collection path, synchronously determine the collection time of each information node, and then combine it with the preset movement speed to jointly determine the standard parameters; send the data collection path containing standard parameters corresponding to each type of information node to the mobile terminal.

[0118] Figure 4 This is a block diagram of the third sub-process of the method for dynamically aggregating information on distributed power resources. The steps of obtaining actual parameters of the mobile terminal based on the locator built into the mobile terminal, comparing the actual parameters with standard parameters, and determining the abnormality of each information node include:

[0119] Step S301: obtaining the location of the mobile terminal in real time according to the locator built into the mobile terminal;

[0120] Step S302: determining actual parameters of each mobile terminal according to the location of the mobile terminal;

[0121] Step S303: query the standard parameters of the data collection path of the mobile terminal, compare the actual parameters with the standard parameters, and determine the abnormality of each information node.

[0122] In an example of the technical solution of the present invention, the process of determining the abnormality degree is explained. The position of the mobile terminal is obtained in real time according to the locator built into the mobile terminal. The actual parameters of each mobile terminal can be determined based on the position of the mobile terminal. The standard parameters of the data collection path of the mobile terminal are queried, and the actual parameters are compared with the standard parameters to determine the abnormality degree of each information node.

[0123] Specifically, the process of comparing actual parameters with standard parameters and determining the abnormality of each information node includes:

[0124] Converting actual parameters into actual position tables based on a preset time step;

[0125] Converting standard parameters into a standard position table based on a preset time step;

[0126] Sequentially read the actual position in the actual position table, query its corresponding standard position in the standard position table, and calculate the backward distance;

[0127] When the backward distance reaches a preset threshold, the current position is marked and the standard position table is corrected based on the current position;

[0128] The abnormality of the current position is determined according to the backward distance; the abnormality is proportional to the backward distance.

[0129] Both actual parameters and standard parameters are motion information. For ease of processing, they are uniformly converted into position sets. The conversion process uses the same time step, and the time is a relative time equivalent to the departure time, that is, the departure time is set to zero time. Since the actual position is the actual position reached after a certain time, and the standard position is the position that should be reached after a certain time in theory; in the technical solution of the present invention, after the mobile terminal detects an abnormality, it needs to extend the stay time. Therefore, a lag will be generated between it and the standard position. The actual position is read sequentially in the actual position table, and its corresponding standard position in the standard position table is queried to calculate the lag distance. After obtaining the lag distance, in order to simplify the processing process, the standard position table is corrected, that is, the current actual position is used as the new standard position, and all subsequent standard positions are postponed once. In the calculation process, the subsequent standard positions are all reversed forward by the lag distance, and the new position obtained is used as the new standard position.

[0130] After the above processing, during the working process of the mobile terminal, as long as the mobile terminal detects an abnormal position, a backward distance will be generated. At this time, the standard position table is corrected, and the backward distance is the backward distance of the abnormal position. When the mobile terminal moves along the path once, multiple abnormal positions can be obtained, and the backward distance can be determined synchronously, and then the abnormality degree is determined based on the backward distance.

[0131] Figure 5 This is a fourth sub-flow diagram of the method for dynamically aggregating information on distributed power resources. The steps of determining the data upload frequency of each information node based on the abnormality degree, performing data fitting on each information node, and obtaining predicted data at each information node include:

[0132] Step S401: query the position of the information node in the corresponding data collection path and query the abnormality degree;

[0133] Step S402: determining the data upload frequency of each information node according to the abnormality degree; the data upload frequency is proportional to the abnormality degree;

[0134] Step S403: For each information node, count its known data, fit the data, and obtain the fitting data at each moment as the predicted data at the information node.

[0135] In an example of the technical solution of the present invention, the data processing process at the information node is explained, the position of the information node in the corresponding data acquisition path is queried, the abnormality degree is queried, and the data upload frequency of each information node is determined based on the abnormality degree. The greater the abnormality degree, the greater the data upload frequency. For each information node, its known data is counted, and the data is fitted to obtain the fitted data at each moment as the predicted data at the information node. The fitting process is equivalent to continuous processing of discrete data. In the prior art, there are many mathematical tools that can achieve this function.

[0136] Figure 6 This is a fifth sub-flow diagram of the method for dynamically aggregating information on distributed power resources. The steps of regularly acquiring local data at information nodes, comparing local data with predicted data, and adjusting the data upload frequency include:

[0137] Step S501: For any information node, regularly collect statistics on the data stored locally at the information node;

[0138] Step S502: Compare local data and predicted data based on the time domain relationship and calculate the prediction accuracy;

[0139] Step S503: determining the additional frequency of the information node according to the prediction accuracy, and adjusting the data upload frequency of the information node; wherein the additional frequency is proportional to the prediction accuracy.

[0140] In an example of the technical solution of the present invention, the process of adjusting the data upload frequency is described. For any information node, the data stored locally at the information node is regularly counted. The statistical process can use another mobile terminal to directly replace the data storage disk at the information node, or obtain data through a nearby wireless transmission channel; after reading the locally stored data, it is compared with the predicted data to calculate the prediction accuracy; the above content describes the comparison of data based on time domain relationships, and one application process of the time domain relationship is that the predicted data is equivalent to a function. On this basis, a function is fitted based on the local data, and the integral difference between the two functions within a preset time range (a time period) is calculated. The prediction accuracy is determined according to the absolute value of the integral difference. The smaller the absolute value of the integral difference, the higher the prediction accuracy; finally, the additional frequency of the information node is determined according to the prediction accuracy as the minimum data upload frequency of the information node, thereby adjusting the data upload frequency of the information node; wherein the additional frequency is proportional to the prediction accuracy.

[0141] Figure 7 : This is a structural block diagram of a distributed power resource information dynamic aggregation system. In an embodiment of the present invention, a distributed power resource information dynamic aggregation system 10 includes:

[0142] The information node selection module 11 is used to obtain distributed power resources in the power system and select information nodes in the power network according to the distributed power resources;

[0143] A path generation and transmission module 12 is configured to generate a data acquisition path containing standard parameters based on the information node, and transmit the data acquisition path containing the standard parameters to the mobile terminal; the standard parameters are used to characterize the motion parameters of the mobile terminal on the data acquisition path;

[0144] The abnormality determination module 13 is used to obtain the actual parameters of the mobile terminal according to the locator built into the mobile terminal, compare the actual parameters with the standard parameters, and determine the abnormality of each information node;

[0145] The data fitting module 14 is used to determine the data upload frequency of each information node according to the abnormality degree, and perform data fitting on each information node to obtain the predicted data at each information node;

[0146] Frequency adjustment module 15, used to regularly obtain local data at the information node, compare the local data with the predicted data, and adjust the data upload frequency;

[0147] During the movement, the mobile terminal collects and identifies instantaneous data at each information node, determines the risk value of the instantaneous data, and adjusts the movement process according to the risk value.

[0148] Furthermore, the information node selection module 11 includes:

[0149] A distribution information query unit, configured to query distribution information of power resources in the power system; the distribution information includes resource type and resource location;

[0150] A utility value determination unit, configured to query a connection segment of each power resource in the power network according to the resource location, and determine a selected utility value of the connection segment according to the resource type;

[0151] a network segment selection unit, configured to count the selection utility value of each connection network segment and mark the connection network segment whose selection utility value reaches a preset dynamic threshold; the dynamic threshold is an attribute value of the connection network segment;

[0152] A selection execution unit is used to select an information node in the marked connection network segment and synchronously update the dynamic threshold value of all connection network segments;

[0153] The updating process of the dynamic threshold is as follows:

[0154] Where, is the dynamic threshold, is the preset baseline threshold, is the preset correction factor, is the total number of marked connected network segments within the preset range, For the The distance between the marked connected network segment and the current connected network segment.

[0155] Specifically, the path generation and sending module 12 includes:

[0156] The power resource query unit is used to query all power resources within a preset range of any information node;

[0157] A resource amount determination unit is used to determine the resource amount of the information node based on the queried power resources; the resource amount calculation process includes querying the preset unit resource amount of each power resource and accumulating the unit resource amount of the power resource;

[0158] A node clustering unit, configured to cluster information nodes into a preset number of clusters based on the resource amount and distance of the information nodes;

[0159] A path generation unit is used to generate a data collection path for each type of information node, taking each information node as a waypoint, synchronously determining the collection time at each information node, and determining standard parameters;

[0160] The path sending unit is used to send the data collection path containing standard parameters corresponding to each type of information node to the mobile terminal.

[0161] Furthermore, the abnormality determination module 13 includes:

[0162] A location acquisition unit, configured to acquire the location of the mobile terminal in real time based on a locator built into the mobile terminal;

[0163] An actual parameter acquisition unit, used to determine the actual parameters of each mobile terminal according to the location of the mobile terminal;

[0164] The parameter comparison unit is used to query the standard parameters of the data collection path of the mobile terminal, compare the actual parameters with the standard parameters, and determine the abnormality of each information node;

[0165] The process of comparing actual parameters with standard parameters and determining the abnormality of each information node includes:

[0166] Converting actual parameters into actual position tables based on a preset time step;

[0167] Converting standard parameters into a standard position table based on a preset time step;

[0168] Sequentially read the actual position in the actual position table, query its corresponding standard position in the standard position table, and calculate the backward distance;

[0169] When the backward distance reaches a preset threshold, the current position is marked and the standard position table is corrected based on the current position;

[0170] The abnormality of the current position is determined according to the backward distance; the abnormality is proportional to the backward distance.

[0171] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for dynamically aggregating information on distributed power resources, characterized in that: The method comprises: Obtain distributed power resources in the power system and select information nodes in the power network based on the distributed power resources; generating a data acquisition path containing standard parameters based on the information node, and sending the data acquisition path containing the standard parameters to the mobile terminal; the standard parameters are used to characterize the motion parameters of the mobile terminal on the data acquisition path; The actual parameters of the mobile terminal are obtained based on the locator built into the mobile terminal. The actual parameters are compared with the standard parameters to determine the abnormality of each information node. Determine the data upload frequency of each information node based on the degree of abnormality, perform data fitting on each information node, and obtain the predicted data at each information node; Regularly obtain local data at information nodes, compare local data with predicted data, and adjust the frequency of data upload; During the movement, the mobile terminal collects and identifies instantaneous data at each information node, determines the risk value of the instantaneous data, and adjusts the movement process according to the risk value.

2. The method for dynamic aggregation of information of distributed power resources according to claim 1, characterized in that: The step of obtaining distributed power resources in the power system and selecting information nodes in the power network according to the distributed power resources includes: Querying distribution information of power resources in a power system; the distribution information includes resource type and resource location; Query the connection segment of each power resource in the power network based on the resource location, and determine the selection utility value of the connection segment based on the resource type; Counting the selected utility value of each connection network segment, and marking the connection network segment whose selected utility value reaches a preset dynamic threshold; the dynamic threshold is an attribute value of the connection network segment; Select information nodes in the marked connection segments and synchronously update the dynamic thresholds of all connection segments; The updating process of the dynamic threshold is as follows: Where, is the dynamic threshold, is the preset baseline threshold, is the preset correction factor, is the total number of marked connected network segments within the preset range, For the The distance between the marked connected network segment and the current connected network segment.

3. The method for dynamic aggregation of distributed power resource information according to claim 1, characterized in that: The step of generating a data collection path containing standard parameters based on the information node and sending the data collection path containing standard parameters to the mobile terminal includes: For any information node, query all power resources within the preset range of the information node; Determining the resource amount of the information node based on the queried power resources; the resource amount calculation process includes querying the preset unit resource amount of each power resource and accumulating the unit resource amount of the power resource; Clustering information nodes into a preset number of clusters based on their resource volume and distance; For each type of information node, each information node is used as a passing point to generate a data collection path, and the collection time at each information node is simultaneously determined to determine the standard parameters; The data collection path containing standard parameters corresponding to each type of information node is sent to the mobile terminal.

4. The method for dynamic aggregation of distributed power resource information according to claim 1, characterized in that: The steps of obtaining actual parameters of the mobile terminal according to the locator built into the mobile terminal, comparing the actual parameters with the standard parameters, and determining the abnormality of each information node include: Obtain the location of the mobile terminal in real time based on the locator built into the mobile terminal; Determine the actual parameters of each mobile terminal based on the location of the mobile terminal; Query the standard parameters of the data collection path on the mobile terminal, compare the actual parameters with the standard parameters, and determine the abnormality of each information node; The process of comparing actual parameters with standard parameters and determining the abnormality of each information node includes: Converting actual parameters into actual position tables based on a preset time step; Converting standard parameters into a standard position table based on a preset time step; Sequentially read the actual position in the actual position table, query its corresponding standard position in the standard position table, and calculate the backward distance; When the backward distance reaches a preset threshold, the current position is marked and the standard position table is corrected based on the current position; The abnormality of the current position is determined according to the backward distance; the abnormality is proportional to the backward distance.

5. The method for dynamic aggregation of information of distributed power resources according to claim 1, characterized in that: The steps of determining the data upload frequency of each information node according to the abnormality degree, performing data fitting on each information node, and obtaining the predicted data at each information node include: Query the position of the information node in the corresponding data collection path and query the degree of anomaly; Determining a data upload frequency for each information node according to the abnormality degree; the data upload frequency is proportional to the abnormality degree; For each information node, its known data is counted and fitted to obtain the fitting data at each moment as the predicted data at the information node.

6. The method for dynamic aggregation of distributed power resource information according to claim 1, characterized in that: The steps of regularly acquiring local data at the information node, comparing the local data with the predicted data, and adjusting the data upload frequency include: For any information node, regularly collect statistics on the data stored locally at the information node; Compare local data and predicted data based on the time domain relationship and calculate the prediction accuracy; The additional frequency of the information node is determined according to the prediction accuracy, and the data upload frequency of the information node is adjusted; wherein the additional frequency is proportional to the prediction accuracy.

7. A distributed power resource information dynamic aggregation system, characterized in that: The system is used to implement the method for dynamically aggregating information on distributed power resources according to any one of claims 1 to 6, and the system includes: An information node selection module is used to obtain distributed power resources in the power system and select information nodes in the power network based on the distributed power resources; a path generation and transmission module, configured to generate a data acquisition path containing standard parameters based on the information node, and transmit the data acquisition path containing the standard parameters to the mobile terminal; the standard parameters are used to characterize the motion parameters of the mobile terminal on the data acquisition path; The abnormality determination module is used to obtain the actual parameters of the mobile terminal based on the locator built into the mobile terminal, compare the actual parameters with the standard parameters, and determine the abnormality of each information node; The data fitting module is used to determine the data upload frequency of each information node according to the abnormality degree, perform data fitting on each information node, and obtain the predicted data at each information node; The frequency adjustment module is used to regularly obtain local data at the information node, compare the local data with the predicted data, and adjust the data upload frequency; During the movement, the mobile terminal collects and identifies instantaneous data at each information node, determines the risk value of the instantaneous data, and adjusts the movement process according to the risk value.

8. The distributed power resource information dynamic aggregation system according to claim 7, characterized in that: The information node selection module includes: A distribution information query unit, configured to query distribution information of power resources in the power system; the distribution information includes resource type and resource location; A utility value determination unit, configured to query a connection segment of each power resource in the power network according to the resource location, and determine a selected utility value of the connection segment according to the resource type; a network segment selection unit, configured to count the selection utility value of each connection network segment and mark the connection network segment whose selection utility value reaches a preset dynamic threshold; the dynamic threshold is an attribute value of the connection network segment; A selection execution unit is used to select an information node in the marked connection network segment and synchronously update the dynamic threshold value of all connection network segments; The updating process of the dynamic threshold is as follows: Where, is the dynamic threshold, is the preset baseline threshold, is the preset correction factor, is the total number of marked connected network segments within the preset range, For the The distance between the marked connected network segment and the current connected network segment.

9. The distributed power resource information dynamic aggregation system according to claim 7, characterized in that: The path generation and sending module includes: The power resource query unit is used to query all power resources within a preset range of any information node; A resource amount determination unit is used to determine the resource amount of the information node based on the queried power resources; the resource amount calculation process includes querying the preset unit resource amount of each power resource and accumulating the unit resource amount of the power resource; A node clustering unit, configured to cluster information nodes into a preset number of clusters based on the resource amount and distance of the information nodes; A path generation unit is used to generate a data collection path for each type of information node, taking each information node as a waypoint, and simultaneously determine the collection time at each information node and determine the standard parameters; The path sending unit is used to send the data collection path containing standard parameters corresponding to each type of information node to the mobile terminal.

10. The distributed power resource information dynamic aggregation system according to claim 7, characterized in that: The abnormality determination module includes: A location acquisition unit, configured to acquire the location of the mobile terminal in real time based on a locator built into the mobile terminal; An actual parameter acquisition unit, used to determine the actual parameters of each mobile terminal according to the location of the mobile terminal; The parameter comparison unit is used to query the standard parameters of the data collection path of the mobile terminal, compare the actual parameters with the standard parameters, and determine the abnormality of each information node; The process of comparing actual parameters with standard parameters and determining the abnormality of each information node includes: Converting actual parameters into actual position tables based on a preset time step; Converting standard parameters into a standard position table based on a preset time step; Sequentially read the actual position in the actual position table, query its corresponding standard position in the standard position table, and calculate the backward distance; When the backward distance reaches a preset threshold, the current position is marked and the standard position table is corrected based on the current position; The abnormality of the current position is determined according to the backward distance; the abnormality is proportional to the backward distance.

Images