Power system monitoring method, device, equipment, storage medium and program product

Abstract

The invention relates to a power system monitoring method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring voltage data and current data of a power system in a current time period from power measurement equipment of the power system; acquiring equipment state monitoring data of the power system in the current time period from monitoring equipment of the power system; determining current power flow distribution of the power system according to the voltage data and the current data; and determining a monitoring result of the power system according to the current power flow distribution, the equipment state monitoring data and contrast power flow distribution of the power system in a contrast time period corresponding to the current time period. By adopting the method, accurate monitoring of the power system can be realized.

Description

Technical Field

[0001] The present application relates to the field of power system application technology, and in particular to a power system monitoring method, device, equipment, storage medium and program product. Background Art

[0002] Failures in power systems are inevitable. After a failure occurs, the changes in current and voltage on the components in the power system are affected by many factors, such as the type of failure, location of the failure, network structure, and real-time power flow, and multiple failures may occur.

[0003] Therefore, it is particularly important to monitor power system faults accurately and effectively. Summary of the invention

[0004] Based on this, it is necessary to provide a power system monitoring method, device, equipment, storage medium and program product to address the above technical problems, which can achieve accurate monitoring of the power system.

[0005] In a first aspect, the present application provides a method for monitoring a power system, the method comprising:

[0006] Obtaining voltage data and current data of the power system in the current period from the power measuring equipment of the power system;

[0007] Obtain equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system;

[0008] Determine the current power flow distribution of the power system based on voltage data and current data;

[0009] The monitoring result of the power system is determined based on the current power flow distribution, equipment status monitoring data and the control power flow distribution of the comparison period corresponding to the current period of the power system.

[0010] In one embodiment, determining the monitoring result of the power system according to the current power flow distribution, the equipment status monitoring data and the control power flow distribution of the comparison period corresponding to the current period of the power system includes:

[0011] The current power flow distribution is compared with the reference power flow distribution, and based on the comparison result, the faulty node among the power nodes of the power system is determined; the fault monitoring data corresponding to the faulty node is screened from the equipment status monitoring data; and the monitoring result of the power system is determined based on the fault monitoring data.

[0012] In one embodiment, determining a monitoring result of the power system according to the fault monitoring data includes:

[0013] According to the fault monitoring data, a faulty device is selected from various power devices corresponding to the faulty node; and according to the fault monitoring data and the operation trend data of the faulty device, a monitoring result of the power system is determined.

[0014] In one embodiment, the comparison result includes the total power flow fluctuation value and / or the maximum power flow fluctuation value corresponding to each power node; and according to the comparison result, determining the faulty node among the power nodes of the power system includes:

[0015] For any power node, when the total power flow fluctuation value corresponding to the power node exceeds the total fluctuation threshold and / or the maximum power flow fluctuation value exceeds the maximum fluctuation threshold, the power node is determined as a fault node.

[0016] In one embodiment, determining the current power flow distribution of the power system according to the voltage data and the current data includes:

[0017] According to the voltage data and the current data, the first circuit data of each power node and the second circuit data of each branch in the power system are determined; according to the first circuit data and the second circuit data, the current power flow distribution of the power system is determined.

[0018] In one embodiment, determining the current power flow distribution of the power system based on the voltage data and the current data includes:

[0019] According to the voltage data and the current data, it is determined whether the power measuring device is connected to the power system normally; if so, the current power flow distribution of the power system is determined according to the voltage data and the current data.

[0020] In one embodiment, it includes:

[0021] When the power measuring device is abnormally connected to the power system, a connection abnormality reminder message is output.

[0022] In a second aspect, the present application also provides a power system monitoring device, the device comprising:

[0023] A first acquisition module is used to acquire voltage data and current data of the power system in a current period from a power measurement device of the power system;

[0024] The second acquisition module is used to acquire the equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system;

[0025] A distribution determination module, for determining the current power flow distribution of the power system based on the voltage data and the current data;

[0026] The result determination module is used to determine the monitoring result of the power system according to the current power flow distribution, the equipment status monitoring data and the control power flow distribution of the comparison period corresponding to the current period of the power system.

[0027] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0028] Obtaining voltage data and current data of the power system in the current period from the power measuring equipment of the power system;

[0029] Obtain equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system;

[0030] Determine the current power flow distribution of the power system based on voltage data and current data;

[0031] The monitoring result of the power system is determined based on the current power flow distribution, equipment status monitoring data and the control power flow distribution of the comparison period corresponding to the current period of the power system.

[0032] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0033] Obtaining voltage data and current data of the power system in the current period from the power measuring equipment of the power system;

[0034] Obtain equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system;

[0035] Determine the current power flow distribution of the power system based on voltage data and current data;

[0036] The monitoring result of the power system is determined based on the current power flow distribution, equipment status monitoring data and the control power flow distribution of the comparison period corresponding to the current period of the power system.

[0037] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0038] Obtaining voltage data and current data of the power system in the current period from the power measuring equipment of the power system;

[0039] Obtain equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system;

[0040] Determine the current power flow distribution of the power system based on voltage data and current data;

[0041] The monitoring result of the power system is determined based on the current power flow distribution, equipment status monitoring data and the control power flow distribution of the comparison period corresponding to the current period of the power system.

[0042] The above-mentioned power system monitoring method, device, equipment, storage medium and program product can determine the status of power equipment in the power system by obtaining the voltage data, current data and equipment status monitoring data of the power system in the current time period; further, the current power flow distribution of the power system can be determined based on the voltage data and current data, and the overall operating status of the current power system can be determined; further, the monitoring results of the power system can be determined based on the current power flow distribution, equipment status monitoring data and the control power flow distribution of the power system in the comparison period corresponding to the current period, which provides a basis for early detection of power equipment abnormalities. This solution realizes multi-dimensional monitoring of the power system by combining voltage data, current data and equipment status monitoring data; further, by introducing the control power flow distribution, it provides a basis for determining the status of the power system in the current period, and finally achieves accurate monitoring results. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 An application environment diagram of a power system monitoring method provided in an embodiment of the present application;

[0045] Figure 2 A schematic diagram of a process of monitoring a power system provided in an embodiment of the present application;

[0046] Figure 3 A schematic diagram of a process for determining monitoring results provided in an embodiment of the present application;

[0047] Figure 4 A schematic diagram of a process for determining current power flow distribution provided in an embodiment of the present application;

[0048] Figure 5 A schematic diagram of a flow chart of another power system monitoring method provided in an embodiment of the present application;

[0049] Figure 6 A structural block diagram of a power system monitoring device provided in an embodiment of the present application;

[0050] Figure 7A structural block diagram of another power system monitoring device provided in an embodiment of the present application;

[0051] Figure 8 This is a diagram of the internal structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0053] The power system monitoring method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 can determine the current flow distribution of the power system based on the acquisition of voltage data and current data; further, the monitoring results of the power system can be determined based on the current flow distribution, the equipment status monitoring data and the control flow distribution of the comparison period corresponding to the current period of the power system, and the monitoring results can be displayed through the terminal 102 to assist professionals in troubleshooting the power equipment. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0054] In an exemplary embodiment, Figure 2 As shown, a power system monitoring method is provided, which is applied to Figure 1 Taking the server 104 in the example as an example, the following steps may be included:

[0055] S201, acquiring voltage data and current data of the power system in a current period from a power measuring device of the power system.

[0056] The current period may indicate a specific time period that is in progress or currently in place, such as a few minutes, hours or a day, and may be pre-set according to the monitoring accuracy requirements and the characteristics of the power system.

[0057] Optionally, the power measuring device may include a voltammeter or other device for measuring voltage and current; in order to cope with the common space limitation problem in field work, the power measuring device in the embodiment of the present application is equipped with an automatically retractable test line, so that the cable length can be flexibly adjusted according to actual measurement needs while being easily stored, thus avoiding the problem of inappropriate length of traditional test lines when in use. In addition, the power measuring device in the embodiment of the present application also supports parallel operation of multiple measurement ports, and can measure and collect multiple sets of data at the same time, greatly improving work efficiency, especially in complex working environments where a large amount of data collection needs to be completed quickly, which can effectively shorten the detection time and reduce the labor intensity of personnel.

[0058] For example, it can be connected to power measuring equipment (such as volt-ampere meters, smart meters, and power data recorders) of the power system in a wired or wireless manner to achieve real-time collection and transmission of voltage data and current data.

[0059] S202, obtaining equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system.

[0060] The equipment status monitoring data may represent data on the operating status of each electric equipment in the electric power system. Optionally, the monitoring equipment may include but is not limited to various sensors and data monitoring equipment, such as temperature sensors, circuit breaker monitoring equipment, and video monitoring equipment.

[0061] Exemplarily, each monitoring device in the power system is configured in advance to ensure that each monitoring device can collect the required data, such as configuring the frequency of data collection, data type (such as temperature and video, etc.) and data accuracy and other parameters. In addition, it is also necessary to configure the parameters of data transmission, such as communication protocol, transmission method (wired or wireless) and target address, etc.; further, each monitoring device can send the monitored equipment status monitoring data of the power system in the current time period to the server 104 through the corresponding communication protocol and transmission method; then, the server 104 can obtain the equipment status monitoring data of the power system in the current time period.

[0062] Optionally, considering the security of the data, the data can be encrypted during transmission to prevent the equipment status monitoring data from being illegally accessed or tampered with.

[0063] S203, determining the current power flow distribution of the power system according to the voltage data and the current data.

[0064] Among them, the current power flow distribution can represent the steady-state distribution state of voltage, power (active and reactive), and (each branch) of each power node in the power system in the current period, that is, it can describe the specific distribution of voltage (including amplitude and phase angle), active power, reactive power, etc. at various locations in the power system.

[0065] Exemplarily, the voltage data and current data collected by each power measuring device in the power system in the current period can be cleaned to remove abnormal values ​​and noise, and the data can be synchronized to ensure that the data of all power measuring devices (i.e., voltage data and / or current data) are at the same time point; further, through the power flow calculation method (such as the Newton-Raphson method and the PQ decomposition method, etc.), the voltage data can be calculated, and the voltage amplitude and phase angle of each power node can be determined, and the active power and reactive power of each branch in the power system can be calculated based on the voltage data and current data; further, based on each power node, The voltage amplitude and phase angle, as well as the active power and reactive power of each branch, are used to draw the power flow distribution diagram of the power system (the voltage amplitude and phase angle of each power node, as well as the active power and reactive power of each branch can be marked in the power flow distribution diagram), and the power flow distribution diagram is analyzed to determine whether the voltage level of each power node is stable, whether there is a voltage that is too high or too low, as well as the power flow of each branch, whether there is an overload or underload situation, and finally the current power flow distribution of the power system can be determined based on the power flow calculation model (which can be constructed based on the nonlinear equation group of the node admittance matrix).

[0066] S204, determining the monitoring result of the power system according to the current power flow distribution, the equipment status monitoring data and the control power flow distribution of the power system in the comparison period corresponding to the current period.

[0067] Among them, the comparison period can represent the period corresponding to the current period. For example, if the current period is 8:00am on October 2, 2024-8:30am on October 2, 2024, then the comparison period can represent 8:00am-8:30am; correspondingly, the comparison flow distribution of the comparison period can represent the average performance of the flow distribution in the period 8:00am-8:30am under normal operation of the power system in the past.

[0068] For example, it is possible to determine whether there is an abnormality in the power system based on the current power flow distribution and the control power flow distribution; further, it is possible to determine the abnormality of the power equipment in the power system based on the equipment status monitoring data; finally, the monitoring result of the power system is determined based on whether there is an abnormality in the power system and whether there is an abnormality in the power equipment. The current power flow distribution, the equipment status monitoring data, and the control power flow distribution of the comparison period corresponding to the current period of the power system can also be input into the monitoring model, which processes and analyzes them and finally determines the monitoring result of the power system.

[0069] The above-mentioned power system monitoring method determines the status of power equipment in the power system by obtaining the voltage data, current data and equipment status monitoring data of the power system in the current period; further, the current power flow distribution of the power system can be determined based on the voltage data and current data, and the overall operating status of the current power system can be determined; further, the monitoring results of the power system can be determined based on the current power flow distribution, equipment status monitoring data and the control power flow distribution of the power system in the comparison period corresponding to the current period, which provides a basis for early detection of power equipment anomalies. This solution realizes multi-dimensional monitoring of the power system by combining voltage data, current data and equipment status monitoring data; further, by introducing the control power flow distribution, it provides a basis for determining the status of the power system in the current period, and finally achieves accurate monitoring results.

[0070] Based on the above embodiment, the present application embodiment explains the above embodiment S204 in detail. Specifically, the present application embodiment involves a process of determining the monitoring result of the power system, such as Figure 3 As shown, the specific steps include:

[0071] S301, comparing the current power flow distribution with the reference power flow distribution, and determining the faulty node among the power nodes of the power system according to the comparison result.

[0072] The comparison power flow distribution may represent a standard power flow distribution corresponding to the power flow distribution of the current period; the comparison result includes a total power flow fluctuation value and / or a maximum power flow fluctuation value corresponding to each power node.

[0073] It should be noted that the power nodes in the power flow distribution can include three categories: PQ nodes (usually representing load points or power equipment with known power output), PV nodes (usually representing generators or power equipment with voltage control capabilities) and balancing nodes (usually representing a major power plant or substation in the power system), that is, a power node can correspond to one or more power equipment.

[0074] Optionally, the total value of the power flow fluctuation can represent the total difference between the numerical value corresponding to the power node A in the current power flow distribution and the numerical value corresponding to the power node A in the control power flow distribution, that is, the total value of the fluctuation, such as the total difference between the numerical values ​​of the node voltage, power and node loss of the power node A in the current power flow distribution and the numerical values ​​of the node voltage, power and node loss of the power node A in the control power flow distribution; the maximum value of the power flow fluctuation can represent the maximum difference between the numerical value corresponding to the power node A in the current power flow distribution and the numerical value corresponding to the power node A in the control power flow distribution, that is, it can represent the total difference between the numerical value corresponding to the power node A in the current power flow distribution and the numerical value corresponding to the power node A in the control power flow distribution, that is, the maximum value of the fluctuation, such as the maximum value of the difference between the numerical values ​​of the node voltage, power and node loss of the power node A in the current power flow distribution and the numerical value of the node voltage, power and node loss of the power node A in the control power flow distribution. If the numerical difference between the node voltage of the power node A in the current power flow distribution and the node voltage of the power node A in the control power flow distribution is the largest, then the numerical difference between the node voltage of the power node A in the current power flow distribution and the node voltage of the power node A in the control power flow distribution is determined as the maximum value of the power flow fluctuation corresponding to the power node A.

[0075] In one achievable manner, for any power node, when the total power flow fluctuation value corresponding to the power node exceeds the total fluctuation threshold and / or the maximum power flow fluctuation value exceeds the maximum fluctuation threshold, the power node is determined as a faulty node.

[0076] Among them, the total fluctuation threshold and the maximum value of the power flow fluctuation can be pre-set and can be determined according to the performance and characteristics of the power node. For example, they can be set within the safe fluctuation range according to the performance of the power node in the comparison period.

[0077] Exemplarily, for each power node, the total power flow fluctuation value and the maximum power flow fluctuation value between the current power flow distribution and the control power flow distribution are calculated; when the total power flow fluctuation value corresponding to the power node exceeds the total fluctuation threshold and / or the maximum power flow fluctuation value exceeds the maximum fluctuation threshold, the power node is determined as a faulty node.

[0078] S302, filtering fault monitoring data corresponding to the faulty node from the device status monitoring data.

[0079] The fault monitoring data may be represented as equipment status monitoring data corresponding to the fault node.

[0080] Exemplarily, the fault monitoring data corresponding to the faulty node may be screened out from the device status monitoring data based on unique identification information such as a node number and / or a node identifier corresponding to the faulty node.

[0081] S303: Determine a monitoring result of the power system according to the fault monitoring data.

[0082] One implementable method is to select a faulty device from the power devices corresponding to the faulty node according to the fault monitoring data; and determine the monitoring result of the power system according to the fault monitoring data and the operation trend data of the faulty device.

[0083] Among them, the operating trend data can be based on the operating trend of the power equipment in a historical period (such as the period between a certain time node in the past to the current time), that is, the trend and / or speed of the power equipment's performance gradually decreasing with the accumulation of working time; optionally, the normal operating status of the power equipment in the current period can be determined based on the operating trend data of the power equipment.

[0084] Exemplarily, the power equipment corresponding to the fault node can be determined based on the correspondence between the power node and the power equipment; further, the operating status of the power equipment corresponding to the fault node can be determined based on the fault monitoring data corresponding to the fault node, and the power equipment with abnormal operating status, i.e., the faulty equipment, can be determined; then, the fault monitoring data corresponding to the faulty equipment and the operating trend data of the faulty equipment can be compared and calculated, and the power equipment with mismatching fault monitoring data and operating trend data can be determined as the final faulty equipment; then, the monitoring result of the power system can be determined based on the fault monitoring data corresponding to the faulty equipment finally determined, the data gap between the fault monitoring data and the operating trend data corresponding to the faulty equipment, the faulty equipment location information, the fault type and emergency measures and other information.

[0085] In the embodiment of the present application, by introducing comparative power flow analysis, a data basis is provided for determining the faulty node, laying a foundation for accurately determining the faulty equipment.

[0086] Based on the above embodiment, the present application embodiment explains the above embodiment S203 in detail. Specifically, the present application embodiment involves a process of determining the current power flow distribution of the power system, such as Figure 4 As shown, the specific steps include:

[0087] S401, determining first circuit data of each power node and second circuit data of each branch in the power system according to voltage data and current data.

[0088] Among them, power nodes can represent connection points or intersections in the power system, such as power plants, substations, load points or connection points of other power equipment; branches connect various nodes in the power system to form the skeleton of the power system. Branches can be power equipment or components such as transmission lines, transformers, busbars, etc., that is, they can be channels for the flow and distribution of electrical quantities such as current, voltage and power.

[0089] Optionally, the first circuit data may include but is not limited to data such as node voltage and node power; the second circuit data may include but is not limited to data such as branch current and branch power loss.

[0090] Exemplarily, a reference power node (usually set to ground potential or zero potential point) can be selected from the power system, and the voltage values ​​of other power nodes in the power system relative to the reference node can be calculated based on the voltage data, that is, the node voltage in the first circuit data; and the power loss of each branch can be calculated through the current data and the known branch impedance, and then, the node power of the power node can be calculated based on the power conservation principle (input power of the power node = output power + power loss), similar to the process of calculating the node voltage of the power node, that is, the node power in the first circuit data. Further, based on Ohm's law, the current value of each branch can be calculated based on the voltage data and the known branch impedance, that is, the branch current in the second circuit data; and the branch power loss in the second circuit data can be calculated based on the branch power loss formula P=I²R, where I is the branch current and R is the branch impedance.

[0091] Optionally, the voltage data and current data may be input into a power data model, which analyzes and calculates them and ultimately determines the first circuit data of each power node and the second circuit data of each branch in the power system.

[0092] S402: Determine the current power flow distribution of the power system according to the first circuit data and the second circuit data.

[0093] Exemplarily, based on the actual topological structure of the power system, the voltage and power of each power node and the impedance, current and other parameters of each branch can be set according to the first circuit data and the second circuit data; further, according to the scale and complexity of the power system, a suitable power flow calculation method can be selected, such as the Newton-Raphson method, the fast decoupling method and the DC power flow method, to calculate the voltage amplitude and phase angle of each power node, as well as the active power and reactive power and other data of each branch; further, based on the voltage amplitude and phase angle of each power node, as well as the active power and reactive power and other information of each branch, the current power flow distribution of the power system can be determined.

[0094] In the embodiment of the present application, by introducing the first circuit data of each power node and the second circuit data of each branch, a foundation is laid for accurately determining the current power flow distribution of the power system, and ultimately achieving accurate monitoring results.

[0095] Based on the above embodiment, the embodiment of the present application explains the above embodiment S203 in detail. Specifically, the process of determining the current power flow distribution of the power system in the embodiment of the present application specifically includes:

[0096] According to the voltage data and the current data, it is determined whether the power measuring device is connected to the power system normally; if so, the current power flow distribution of the power system is determined according to the voltage data and the current data.

[0097] For example, the voltage data and current data can be analyzed and judged based on the phase sequence characteristics of the three-phase current and voltage. If the phase voltage and phase current are both normal, it can be judged that the power measurement equipment is connected to the power system normally. The current power flow distribution of the power system can be determined based on the voltage data and current data.

[0098] Furthermore, when the power measuring device is abnormally connected to the power system, connection abnormality reminder information is output.

[0099] For example, if there is a significant phase voltage imbalance and / or a significant phase current imbalance, it can be determined that the connection between the power measuring device and the power system is abnormal, and the current power flow distribution of the power system cannot be analyzed based on the voltage data and current data. The abnormal connection reminder information is output to remind the staff to check the connection status of the relevant power measuring equipment and the power system.

[0100] In the embodiment of the present application, by judging the connection status between the power measuring device and the power system, the accuracy of the data is guaranteed, laying the foundation for the accuracy of the monitoring results.

[0101] Based on the above embodiments, this embodiment provides an optional example of a power system monitoring method. Figure 5 As shown, the specific implementation process is as follows:

[0102] S501, acquiring voltage data and current data of the power system in a current period from a power measuring device of the power system.

[0103] S502, obtaining equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system.

[0104] S503, determining first circuit data of each power node and second circuit data of each branch in the power system according to the voltage data and the current data.

[0105] It should be noted that, based on the voltage data and the current data, it is determined whether the power measuring device is connected to the power system normally; if so, the current power flow distribution of the power system is determined based on the voltage data and the current data. In the case where the power measuring device is abnormally connected to the power system, a connection abnormality reminder message is output.

[0106] S504: Determine the current power flow distribution of the power system according to the first circuit data and the second circuit data.

[0107] S505, comparing the current power flow distribution with the reference power flow distribution, and determining the faulty node among the power nodes of the power system according to the comparison result.

[0108] The comparison result includes the total value of power flow fluctuation and / or the maximum value of power flow fluctuation corresponding to each power node.

[0109] In one achievable manner, for any power node, when the total power flow fluctuation value corresponding to the power node exceeds the total fluctuation threshold and / or the maximum power flow fluctuation value exceeds the maximum fluctuation threshold, the power node is determined as a faulty node.

[0110] S506, filtering the fault monitoring data corresponding to the faulty node from the device status monitoring data.

[0111] S507: Select a faulty device from the power devices corresponding to the faulty node according to the fault monitoring data.

[0112] S508, determining the monitoring result of the power system according to the fault monitoring data and the operation trend data of the faulty equipment.

[0113] The specific process of the above S501-S508 can refer to the description of the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0114] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0115] Based on the same inventive concept, the embodiment of the present application also provides a power system monitoring device for implementing the power system monitoring method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more power system monitoring device embodiments provided below can refer to the limitations of the power system monitoring method above, and will not be repeated here.

[0116] In an exemplary embodiment, Figure 6As shown, a power system monitoring device 1 is provided, comprising: a first acquisition module 10, a second acquisition module 20, a distribution determination module 30 and a result determination module 40, wherein:

[0117] The first acquisition module 10 is used to acquire voltage data and current data of the power system in a current period from a power measurement device of the power system.

[0118] The second acquisition module 20 is used to acquire the equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system.

[0119] The distribution determination module 30 is used to determine the current power flow distribution of the power system according to the voltage data and the current data.

[0120] The result determination module 40 is used to determine the monitoring result of the power system according to the current power flow distribution, the equipment status monitoring data and the control power flow distribution of the comparison period corresponding to the current period of the power system.

[0121] In one embodiment, Figure 7 As shown, the result determination module 40 also includes:

[0122] The node determination unit 41 is used to compare the current power flow distribution with the reference power flow distribution, and determine the faulty node among the power nodes of the power system according to the comparison result.

[0123] The data screening unit 42 is used to screen the fault monitoring data corresponding to the faulty node from the device status monitoring data.

[0124] The monitoring determination unit 43 is used to determine the monitoring result of the power system according to the fault monitoring data.

[0125] In one embodiment, the monitoring and determining unit 43 is further configured to:

[0126] According to the fault monitoring data, a faulty device is selected from various power devices corresponding to the faulty node; and according to the fault monitoring data and the operation trend data of the faulty device, a monitoring result of the power system is determined.

[0127] In one embodiment, the node determination unit 41 is further configured to:

[0128] For any power node, when the total power flow fluctuation value corresponding to the power node exceeds the total fluctuation threshold and / or the maximum power flow fluctuation value exceeds the maximum fluctuation threshold, the power node is determined as a fault node.

[0129] In one embodiment, the distribution determination module 30 is specifically configured to:

[0130] According to the voltage data and the current data, the first circuit data of each power node and the second circuit data of each branch in the power system are determined; according to the first circuit data and the second circuit data, the current power flow distribution of the power system is determined.

[0131] In one embodiment, the distribution determination module 30 is further configured to:

[0132] According to the voltage data and the current data, it is determined whether the power measuring device is connected to the power system normally; if so, the current power flow distribution of the power system is determined according to the voltage data and the current data.

[0133] In one embodiment, the distribution determination module 30 is further configured to:

[0134] When the power measuring device is abnormally connected to the power system, a connection abnormality reminder message is output.

[0135] Each module in the above-mentioned power system monitoring device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0136] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 8 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store power data and monitoring data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a power system monitoring method is implemented.

[0137] Those skilled in the art will understand that Figure 8The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0138] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0139] Obtaining voltage data and current data of the power system in the current period from the power measuring equipment of the power system;

[0140] Obtain equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system;

[0141] Determine the current power flow distribution of the power system based on voltage data and current data;

[0142] The monitoring result of the power system is determined based on the current power flow distribution, equipment status monitoring data and the control power flow distribution of the comparison period corresponding to the current period of the power system.

[0143] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0144] The current power flow distribution is compared with the reference power flow distribution, and based on the comparison result, the faulty node among the power nodes of the power system is determined; the fault monitoring data corresponding to the faulty node is screened from the equipment status monitoring data; and the monitoring result of the power system is determined based on the fault monitoring data.

[0145] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0146] According to the fault monitoring data, a faulty device is selected from various power devices corresponding to the faulty node; and according to the fault monitoring data and the operation trend data of the faulty device, a monitoring result of the power system is determined.

[0147] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0148] For any power node, when the total power flow fluctuation value corresponding to the power node exceeds the total fluctuation threshold and / or the maximum power flow fluctuation value exceeds the maximum fluctuation threshold, the power node is determined as a fault node.

[0149] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0150] According to the voltage data and the current data, the first circuit data of each power node and the second circuit data of each branch in the power system are determined; according to the first circuit data and the second circuit data, the current power flow distribution of the power system is determined.

[0151] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0152] According to the voltage data and the current data, it is determined whether the power measuring device is connected to the power system normally; if so, the current power flow distribution of the power system is determined according to the voltage data and the current data.

[0153] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0154] When the power measuring device is abnormally connected to the power system, a connection abnormality reminder message is output.

[0155] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0156] Obtaining voltage data and current data of the power system in the current period from the power measuring equipment of the power system;

[0157] Obtain equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system;

[0158] Determine the current power flow distribution of the power system based on voltage data and current data;

[0159] The monitoring result of the power system is determined based on the current power flow distribution, equipment status monitoring data and the control power flow distribution of the comparison period corresponding to the current period of the power system.

[0160] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0161] The current power flow distribution is compared with the reference power flow distribution, and based on the comparison result, the faulty node among the power nodes of the power system is determined; the fault monitoring data corresponding to the faulty node is screened from the equipment status monitoring data; and the monitoring result of the power system is determined based on the fault monitoring data.

[0162] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0163] According to the fault monitoring data, a faulty device is selected from various power devices corresponding to the faulty node; and according to the fault monitoring data and the operation trend data of the faulty device, a monitoring result of the power system is determined.

[0164] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0165] For any power node, when the total power flow fluctuation value corresponding to the power node exceeds the total fluctuation threshold and / or the maximum power flow fluctuation value exceeds the maximum fluctuation threshold, the power node is determined as a fault node.

[0166] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0167] According to the voltage data and the current data, the first circuit data of each power node and the second circuit data of each branch in the power system are determined; according to the first circuit data and the second circuit data, the current power flow distribution of the power system is determined.

[0168] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0169] According to the voltage data and the current data, it is determined whether the power measuring device is connected to the power system normally; if so, the current power flow distribution of the power system is determined according to the voltage data and the current data.

[0170] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0171] When the power measuring device is abnormally connected to the power system, a connection abnormality reminder message is output.

[0172] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0173] Obtaining voltage data and current data of the power system in the current period from the power measuring equipment of the power system;

[0174] Obtain equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system;

[0175] Determine the current power flow distribution of the power system based on voltage data and current data;

[0176] The monitoring result of the power system is determined based on the current power flow distribution, equipment status monitoring data and the control power flow distribution of the comparison period corresponding to the current period of the power system.

[0177] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0178] The current power flow distribution is compared with the reference power flow distribution, and based on the comparison result, the faulty node among the power nodes of the power system is determined; the fault monitoring data corresponding to the faulty node is screened from the equipment status monitoring data; and the monitoring result of the power system is determined based on the fault monitoring data.

[0179] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0180] According to the fault monitoring data, a faulty device is selected from various power devices corresponding to the faulty node; and according to the fault monitoring data and the operation trend data of the faulty device, a monitoring result of the power system is determined.

[0181] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0182] For any power node, when the total power flow fluctuation value corresponding to the power node exceeds the total fluctuation threshold and / or the maximum power flow fluctuation value exceeds the maximum fluctuation threshold, the power node is determined as a fault node.

[0183] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0184] According to the voltage data and the current data, the first circuit data of each power node and the second circuit data of each branch in the power system are determined; according to the first circuit data and the second circuit data, the current power flow distribution of the power system is determined.

[0185] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0186] According to the voltage data and the current data, it is determined whether the power measuring device is connected to the power system normally; if so, the current power flow distribution of the power system is determined according to the voltage data and the current data.

[0187] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0188] When the power measuring device is abnormally connected to the power system, a connection abnormality reminder message is output.

[0189] It should be noted that the information (including but not limited to device information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0190] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0191] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0192] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A power system monitoring method, characterized in that: The method comprises: Acquiring voltage data and current data of the power system in a current period from a power measuring device of the power system; Acquiring, from a monitoring device of the power system, equipment status monitoring data of the power system during the current period; determining a current power flow distribution of the power system according to the voltage data and the current data; The monitoring result of the power system is determined according to the current power flow distribution, the equipment status monitoring data and the control power flow distribution of the power system in the comparison period corresponding to the current period.

2. The method according to claim 1, characterized in that Determining the monitoring result of the power system according to the current power flow distribution, the equipment status monitoring data and the control power flow distribution of the power system in the comparison period corresponding to the current period includes: Comparing the current power flow distribution with the reference power flow distribution, and determining a faulty node among the power nodes of the power system according to the comparison result; Filtering the fault monitoring data corresponding to the fault node from the device status monitoring data; A monitoring result of the power system is determined according to the fault monitoring data.

3. The method according to claim 2, characterized in that Determining the monitoring result of the power system according to the fault monitoring data includes: According to the fault monitoring data, selecting a faulty device from the power devices corresponding to the faulty node; The monitoring result of the power system is determined according to the fault monitoring data and the operation trend data of the faulty equipment.

4. The method according to claim 2, characterized in that: The comparison result includes the total value of power flow fluctuation and / or the maximum value of power flow fluctuation corresponding to each power node; The step of determining a faulty node among the power nodes of the power system according to the comparison result includes: For any power node, when the total power flow fluctuation value corresponding to the power node exceeds the total fluctuation threshold and / or the maximum power flow fluctuation value exceeds the maximum fluctuation threshold, the power node is determined as a faulty node.

5. The method according to any one of claims 1 to 4, characterized in that: The determining, according to the voltage data and the current data, the current power flow distribution of the power system comprises: Determine first circuit data of each power node and second circuit data of each branch in the power system according to the voltage data and the current data; A current power flow distribution of the power system is determined according to the first circuit data and the second circuit data.

6. The method according to any one of claims 1 to 4, characterized in that: The determining, according to the voltage data and the current data, the current power flow distribution of the power system comprises: determining, based on the voltage data and the current data, whether the power measuring device is normally connected to the power system; If so, the current power flow distribution of the power system is determined based on the voltage data and the current data.

7. The method according to claim 6, characterized in that The method further comprises: When the power measuring device is abnormally connected to the power system, connection abnormality reminder information is output.

8. A power system monitoring device, characterized in that: The device comprises: A first acquisition module is used to acquire voltage data and current data of the power system in a current period from a power measurement device of the power system; A second acquisition module is used to acquire the equipment status monitoring data of the power system in the current period from the monitoring equipment of the power system; a distribution determination module, configured to determine a current power flow distribution of the power system according to the voltage data and the current data; The result determination module is used to determine the monitoring result of the power system according to the current power flow distribution, the equipment status monitoring data and the control power flow distribution of the power system in the comparison period corresponding to the current period.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images