Power grid operation state monitoring system and method based on multi-dimensional information

Abstract

The invention discloses a power grid operation state monitoring system based on multi-dimensional information, and the system comprises a data collection module which is used for collecting power grid operation data in real time, and the data comprise electrical parameters, load parameters and power grid equipment geographic position parameters; the data processing module is used for preprocessing the power grid operation data; the state analysis module is used for calculating the number of adjacent nodes related to a fault node and an electrical parameter deviation value according to the decision tree, a preset power grid physical simulation model, historical power grid operation data and processed power grid operation data, and identifying the fault node related to the adjacent nodes; the state display module is used for displaying power grid operation data and fault nodes, the fault nodes relate to adjacent nodes, and the fault nodes relate to the number of the adjacent nodes and the electrical parameter deviation value. According to the invention, through the provided information of the fault node and the influence range thereof, power grid dispatching personnel can be assisted to carry out optimized dispatching, resources are reasonably distributed, and the overall operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to a power system monitoring technology, and in particular to a power grid operation status monitoring system and method based on multi-dimensional information. Background Art

[0002] As an important infrastructure of modern society, the stable operation of the power grid is of great significance to economic development and social life. However, the power grid system is complex, involving a large number of electrical equipment and a wide geographical distribution. It is easily affected by various internal and external factors, such as equipment aging, changes in the natural environment, and human operational errors. These factors may cause power grid failures and affect the quality and reliability of power supply. Although the application of new technologies has improved the level of power grid monitoring, there are still some shortcomings. The existing fault identification methods are sometimes difficult to accurately identify and view the location of the fault node and its impact range in a complex power grid environment. Summary of the invention

[0003] In view of the deficiencies of the prior art, the present invention provides a power grid operation status monitoring system and method based on multi-dimensional information.

[0004] The power grid operation status monitoring system based on multi-dimensional information includes the following:

[0005] Data acquisition module: used to collect real-time grid operation data, including electrical parameters, load parameters and geographic location parameters of grid equipment;

[0006] Data processing module: used to pre-process power grid operation data;

[0007] State analysis module: used to calculate the number of adjacent nodes involved in the faulty node and the deviation value of electrical parameters according to the decision tree, the preset power grid physical simulation model, the historical power grid operation data and the processed power grid operation data, and identify the faulty node and the adjacent nodes involved in the faulty node;

[0008] Status display module: used to display power grid operation data and fault nodes, adjacent nodes involved in fault nodes, number of adjacent nodes involved in fault nodes and electrical parameter deviation values.

[0009] Preferably, in the data acquisition module, the electrical parameters include voltage, current, frequency, power factor, harmonics and power quality; the load parameters include load power, load voltage, load current and load impedance;

[0010] Preferably, the data processing module includes:

[0011] Data preprocessing unit: used to clean the collected power grid operation data and remove noise and abnormal data;

[0012] Data formatting unit: used to convert the pre-processed power grid operation data into a unified format;

[0013] Data fusion unit: used to fuse power grid operation data.

[0014] Preferably, the state analysis module includes:

[0015] Key feature extraction unit: used to extract key features from the processed power grid operation data, including electrical features, load features, and node geographic location features;

[0016] Power grid prediction model building unit: used to build a power grid prediction model based on key features and historical power grid operation data, using a decision tree to predict potential operation information, including load change trends, voltage fluctuation patterns, and abnormal equipment operation characteristics;

[0017] Power grid physical simulation model construction unit: used to construct a power grid physical simulation model based on potential operation information and the physical topology of the power grid, and obtain the faulty node, the adjacent nodes involved in the faulty node, the number of adjacent nodes involved in the faulty node and the electrical parameter deviation value according to the power grid physical simulation model.

[0018] Preferably, the status display module includes:

[0019] Real-time operation status display unit: used to display the topological structure of the power grid and the real-time operation status of each node according to the preset 3D topological diagram;

[0020] Fault display unit: used to display the fault node, the adjacent nodes involved in the fault node, the number of adjacent nodes involved in the fault node and the electrical parameter deviation value according to the preset 3D topology view and thermal map;

[0021] Real-time alarm display unit: used to issue a real-time alarm when a node fails, and highlight the failed node on the display interface;

[0022] Early warning diary unit: used to record the time of fault occurrence, fault node, adjacent nodes involved in the fault node and preset fault handling plan.

[0023] Preferably, it also includes an early warning module: used to issue an early warning to the operation and maintenance personnel when a fault occurs in the operation state of the power grid;

[0024] Preferably, the early warning module includes

[0025] Notification mode setting unit: used to set different notification modes according to the number of adjacent nodes involved in the faulty node and the deviation value of the electrical parameters;

[0026] Notification unit: used to notify the operation and maintenance personnel according to the notification method set by the notification method setting unit;

[0027] Automatic response mechanism unit: used to automatically respond to emergency measures according to a preset fault handling plan when the number of adjacent nodes involved in the faulty node is greater than a second number threshold and the electrical parameter deviation amplitude is greater than a second preset amplitude threshold, including disconnecting the faulty line and starting the backup power supply.

[0028] The method for monitoring the operation status of a power grid based on multi-dimensional information comprises the following steps:

[0029] S1: Collect real-time grid operation data;

[0030] S2: pre-processing the power grid operation data;

[0031] S 3: According to the decision tree, the preset power grid physical simulation model, the historical power grid operation data and the pre-processed power grid operation data, the number of adjacent nodes involved in the faulty node and the deviation value of the electrical parameters are calculated, and the faulty node and the adjacent nodes involved in the faulty node are identified;

[0032] S 4: Displays the grid operation data and faulty nodes, adjacent nodes involved in the faulty nodes, the number of adjacent nodes involved in the faulty nodes, and electrical parameter deviation values.

[0033] The present invention discloses a power grid operation status monitoring system and method based on multi-dimensional information, which has the following beneficial effects: The power grid operation data is collected in real time through the data acquisition module, ensuring the timeliness and accuracy of the data. This helps to promptly discover abnormal conditions in the operation of the power grid and improve the fault response speed; by pre-processing the collected raw data, such as noise filtering, missing value filling, etc., the data quality is improved, providing a reliable basis for subsequent analysis; by combining the preset power grid simulation model and historical power grid operation data, the faulty node and the adjacent nodes involved can be accurately identified, which helps to quickly locate the source of the fault and reduce the troubleshooting time; by calculating the electrical parameter deviation values ​​of the faulty node and its adjacent nodes, the severity and impact range of the fault can be understood in more detail, providing a scientific basis for fault handling, and the information provided on the faulty node and its impact range can assist power grid dispatchers in It optimizes scheduling, allocates resources reasonably, and improves overall operating efficiency. When a fault occurs, the system can quickly provide information on the fault node and its impact range, helping the emergency response team to quickly formulate response measures and reduce the duration and scope of power outages. Preventive maintenance and early warning of faults reduce the maintenance costs and power outage losses caused by sudden faults. Real-time monitoring and fault node monitoring functions improve the safety of power grid operation and reduce the risk of safety accidents caused by faults. Preventive maintenance and early warning of faults reduce the maintenance costs and power outage losses caused by sudden faults. Color marking helps operators quickly judge the severity and priority of the fault, so as to take appropriate emergency measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 Module block diagram of the power grid operation status monitoring system based on multi-dimensional information provided by the present invention

[0036] Figure 2 A unit block diagram of a data processing module provided by the present invention;

[0037] Figure 3 A unit block diagram of the state analysis module provided by the present invention;

[0038] Figure 4 Unit block diagram of the status display module provided by the invention;

[0039] Figure 5 Unit block diagram of the early warning module provided by the invention;

[0040] Figure 6 A flowchart of a method for monitoring power grid operation status based on multi-dimensional information provided by the invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0043] refer to Figure 1 The power grid operation status monitoring system based on multi-dimensional information provided by the present invention includes the following:

[0044] Data acquisition module 11: used to collect power grid operation data in real time, including electrical parameters, load parameters and geographic location parameters of power grid equipment;

[0045] Data processing module 12: used for preprocessing power grid operation data;

[0046] State analysis module 13: used to calculate the number of adjacent nodes involved in the faulty node and the deviation value of electrical parameters according to the decision tree, the preset power grid simulation model, the historical power grid operation data and the pre-processed power grid operation data, and identify the faulty node and the adjacent nodes involved in the faulty node;

[0047] The status display module 14 is used to display the power grid operation data and the faulty node, the adjacent nodes involved in the faulty node, the number of adjacent nodes involved in the faulty node and the deviation value of the electrical parameters.

[0048] The power grid operation status monitoring system based on multi-dimensional information provided by the present invention collects power grid operation data in real time through a data acquisition module, thereby ensuring the timeliness and accuracy of the data. This helps to timely discover abnormal conditions in power grid operation and improve fault response speed; by pre-processing the collected raw data, such as noise filtering and missing value filling, the data quality is improved, providing a reliable basis for subsequent analysis; by combining the preset power grid simulation model and historical power grid operation data, the faulty node and its adjacent nodes can be accurately identified, which helps to quickly locate the source of the fault and reduce the time for troubleshooting; by calculating the electrical parameter deviation values ​​of the faulty node and its adjacent nodes, the severity and impact range of the fault can be understood in more detail, providing a scientific basis for fault handling, and the information on the faulty node and its impact range can assist power grid dispatchers in optimizing scheduling, reasonably allocating resources, and improving overall operating efficiency; in the event of a fault, the system can quickly provide information on the faulty node and its impact range, helping the emergency response team to quickly formulate response measures and reduce the time and scope of power outages; through preventive maintenance and early warning of faults, the maintenance cost and power outage losses caused by sudden faults are reduced; the safety of power grid operation is improved through real-time monitoring and fault node monitoring functions, and the risk of safety accidents caused by faults is reduced.

[0049] In a preferred embodiment, in the data acquisition module 11, electrical parameters include voltage, current, frequency, power factor, harmonics and power quality; load parameters include load information such as load power, load voltage, load current and load impedance;

[0050] refer to Figure 2 In a preferred embodiment, the data processing module 12 includes:

[0051] Data preprocessing unit 121: used to clean the collected power grid operation data and remove noise and abnormal data;

[0052] Data formatting unit 122: used to convert the pre-processed power grid operation data into a unified format;

[0053] Data fusion unit 123: used to fuse electrical data, environmental data and load information to form a multi-dimensional grid status description.

[0054] refer to Figure 3 In a preferred embodiment, the state analysis module 13 includes:

[0055] Key feature extraction unit 131: used to extract key features from the processed power grid operation data, including electrical features, load features and geographical features; electrical features include voltage, current and frequency, load features include load fluctuation and peak power consumption, and geographical features include node geographical location;

[0056] A power grid prediction model building unit 132 is used to build a power grid prediction model based on key features and historical power grid operation data, using machine learning algorithms such as decision trees, support vector machines, and random forests, to predict potential operation information, including load change trends, voltage fluctuation patterns, and equipment operation abnormality characteristics;

[0057] The power grid physical simulation model construction unit 133 is used to construct a power grid physical simulation model according to potential operation information and the physical topology of the power grid, and obtain the faulty node, the adjacent nodes involved in the faulty node, the number of adjacent nodes involved in the faulty node and the electrical parameter deviation value according to the power grid physical simulation model.

[0058] Specifically, the physical topology of the power grid is defined, each device in the power grid is defined as a node, and the edges between nodes are defined according to the connection relationship between the power grid devices to form a graph structure; the physical simulation model of the power grid is constructed through Kirchhoff's law and MATLAB / Simulink, PSS / E, DIgSILENT, etc., the electrical parameters are continuously monitored through sensors, and the normal range thresholds of current and voltage are set. When the electrical parameters of a node are monitored to be out of the normal range, the node is recorded as a possible fault node, and its deviation value is calculated. According to the power grid topology, the adjacent nodes of the fault node are identified. The graph traversal algorithm, including breadth-first search or depth-first search, can be used to find directly connected nodes from the fault node, and the number of nodes connected to the fault node is counted. After the power grid prediction model makes a prediction, the power grid simulation model can evaluate and correct these prediction results by running physical simulations, correct the prediction errors caused by the interaction between nodes, and thus improve the accuracy of the prediction.

[0059] refer to Figure 4 In a preferred embodiment, the status display module 14 includes:

[0060] The real-time operation status display unit 141 is used to display the topological structure of the power grid and the real-time operation status of each node according to a preset 3D topological map; specifically, a 3D topological map of the power grid operation is generated according to the power grid operation data, the geographic location parameters of the power grid equipment and GIS, so as to quickly and intuitively understand the health status of the power grid;

[0061] Fault display unit 142: used to display faulty nodes, adjacent nodes involved in faulty nodes, number of adjacent nodes involved in faulty nodes and electrical parameter deviation values ​​according to preset 3D topology view and heat map. Specifically, if the magnitude of deviation of the faulty node from the normal range is less than the first preset magnitude threshold, the fault impact is considered to be slight, which is indicated by green to yellow; the normal range refers to the violation of standard parameters of the power grid during stable operation, such as the rated values ​​of set voltage, current, etc.;

[0062] If the number of nodes is greater than the first number threshold and less than the second number threshold, and the deviation amplitude is greater than the first preset amplitude threshold and less than the second preset amplitude threshold, the fault impact is considered moderate to severe, and is represented by orange to red;

[0063] If the number of nodes is greater than the second number threshold, and the deviation amplitude is greater than the second preset amplitude threshold, a more serious fault is identified and represented by dark red to purple. This color marking helps operators quickly determine the severity and priority of the fault and take appropriate emergency measures.

[0064] Operators can quickly identify the fault area and the severity of the impact through colors and markings.

[0065] Real-time alarm display unit 143: used to issue a real-time alarm when a node fails, and highlight the failed node on the display interface;

[0066] Early warning diary unit 144: used to record the time of fault occurrence, fault node, adjacent nodes involved in the fault node, number of adjacent nodes involved in the fault node, electrical parameter deviation value and preset fault processing scheme. Specifically, according to historical fault cases and historical fault processing schemes, a fault processing scheme rule base is established, and the fault node, adjacent nodes involved in the fault node, number of adjacent nodes involved in the fault node and electrical parameter deviation value are matched with the fault processing scheme rule base to generate a fault processing scheme.

[0067] In a preferred embodiment, it also includes an early warning module 15: used to issue an early warning to the operation and maintenance personnel when the power grid operation status is abnormal.

[0068] refer to Figure 5 In a preferred embodiment, the early warning module includes

[0069] Notification mode setting unit 151: used to set three different notification modes according to the number of adjacent nodes involved in the faulty node and the electrical parameter deviation value;

[0070] Specifically, the first type is a minor fault notification. The faulty node affects 1-2 adjacent nodes, and the deviation of electrical parameters such as voltage and current is small and still within the allowable range. The notification method is email notification or SMS notification to remind operators to pay attention to the situation. The alarm volume is set to a lower volume, but no emergency treatment is required;

[0071] The second type is a moderate fault notification, where the faulty node affects 3-5 adjacent nodes, and the deviation of the electrical parameters exceeds the normal range but has not yet seriously threatened the overall stability of the system. The notification method uses SMS notification, mobile application push and sound alarm to remind, and the alarm volume is moderate and has a certain continuous tone, prompting the operator to take measures to repair the problem as soon as possible; the third type is a serious fault notification, where the faulty node affects more than 5 adjacent nodes, and the electrical parameters deviate greatly from the normal value, which may cause systemic failure or large-scale power outage; the notification method is to immediately remind the relevant maintenance personnel through telephone notification, emergency SMS / application push and high-decibel sound alarm, and start the emergency response procedure; the alarm volume is large and the frequency is high, so that the operator can immediately pay attention to it, indicating the urgency of the fault. According to the number of adjacent nodes and the deviation of electrical parameters, the severity of the fault can be graded, and appropriate notification methods and response methods can be provided according to different severities.

[0072] Notification unit 152: used to notify maintenance personnel according to the notification method set by the notification method setting unit;

[0073] Automatic response mechanism unit 153: when the number of adjacent nodes involved in the fault node is greater than the second number threshold and the electrical parameter deviation amplitude is greater than the second preset amplitude threshold, according to the preset fault handling scheme, automatically respond to emergency measures, including disconnecting the fault line and starting the backup power supply. Through preventive maintenance and early fault warning, the maintenance cost and power outage loss caused by sudden faults are reduced.

[0074] refer to Figure 6 The present invention provides a method for monitoring the operation status of a power grid based on multi-dimensional information, comprising the following steps:

[0075] S1: Collect real-time grid operation data;

[0076] S2: pre-processing the power grid operation data;

[0077] S 3: According to the decision tree, the preset power grid simulation model, the historical power grid operation data and the pre-processed power grid operation data, the number of adjacent nodes involved in the faulty node and the deviation value of the electrical parameters are calculated, and the faulty node and the adjacent nodes involved in the faulty node are identified;

[0078] S 4: Displays the grid operation data and faulty nodes, adjacent nodes involved in the faulty nodes, the number of adjacent nodes involved in the faulty nodes, and electrical parameter deviation values.

Claims

1. A power grid operation status monitoring system based on multi-dimensional information, characterized in that: These include: Data acquisition module: used to collect real-time grid operation data, including electrical parameters, load parameters and geographic location parameters of grid equipment; Data processing module: used for preprocessing the power grid operation data; State analysis module: used to calculate the number of adjacent nodes involved in the faulty node and the deviation value of electrical parameters according to the decision tree, the preset power grid physical simulation model, the historical power grid operation data and the processed power grid operation data, and identify the faulty node and the adjacent nodes involved in the faulty node; Status display module: used to display the power grid operation data and the faulty node, the adjacent nodes involved in the faulty node, the number of adjacent nodes involved in the faulty node and the electrical parameter deviation value.

2. The power grid operation status monitoring system based on multi-dimensional information according to claim 1 is characterized in that: In the data acquisition module, the electrical parameters include voltage, current, frequency, power factor, harmonics and power quality; the load parameters include load power, load voltage, load current and load impedance.

3. The power grid operation status monitoring system based on multi-dimensional information according to claim 1 is characterized in that: The data processing module comprises: Data preprocessing unit: used to clean the collected power grid operation data and remove noise and abnormal data; Data formatting unit: used to convert the pre-processed power grid operation data into a unified format; Data fusion unit: used for fusing the power grid operation data.

4. The power grid operation status monitoring system based on multi-dimensional information according to claim 1, characterized in that: The state analysis module comprises: Key feature extraction unit: used to extract key features from the processed power grid operation data, including electrical features, load features, and node geographic location features; A power grid prediction model building unit is used to build a power grid prediction model based on the key features and historical power grid operation data using a decision tree to predict potential operation information, wherein the potential operation information includes load change trends, voltage fluctuation patterns, and abnormal equipment operation characteristics; A power grid physical simulation model construction unit is used to construct a power grid physical simulation model based on the potential operation information and the physical topology of the power grid, and obtain the faulty node, the adjacent nodes involved in the faulty node, the number of adjacent nodes involved in the faulty node and the electrical parameter deviation value according to the power grid physical simulation model.

5. The power grid operation status monitoring system based on multi-dimensional information according to claim 4 is characterized in that: The status display module comprises: Real-time operation status display unit: used to display the topological structure of the power grid and the real-time operation status of each node according to the preset 3D topological diagram; Fault display unit: used to display the fault node, the adjacent nodes involved in the fault node, the number of adjacent nodes involved in the fault node and the electrical parameter deviation value according to the preset 3D topology view and thermal map; Real-time alarm display unit: used to issue a real-time alarm when a node fails, and highlight the failed node on the display interface; Early warning diary unit: used to record the time of fault occurrence, fault node, adjacent nodes involved in the fault node and preset fault handling plan.

6. The power grid operation status monitoring system based on multi-dimensional information according to claim 5, characterized in that: It also includes an early warning module: used to issue an early warning to operation and maintenance personnel when a fault occurs in the operation status of the power grid.

7. The power grid operation status monitoring system based on multi-dimensional information according to claim 6, characterized in that: The early warning module includes Notification mode setting unit: used to set different notification modes according to the number of adjacent nodes involved in the faulty node and the deviation value of the electrical parameters; Notification unit: used to notify the operation and maintenance personnel according to the notification method set by the notification method setting unit; Automatic response mechanism unit: used to automatically respond to emergency measures according to a preset fault handling plan when the number of adjacent nodes involved in the faulty node is greater than a second number threshold and the electrical parameter deviation amplitude is greater than a second preset amplitude threshold, including disconnecting the faulty line and starting the backup power supply.

8. A method for monitoring power grid operation status based on multi-dimensional information, characterized in that: The steps include: S1: Collect real-time grid operation data; S2: preprocessing the power grid operation data; S 3: According to the decision tree, the preset power grid physical simulation model, the historical power grid operation data and the pre-processed power grid operation data, the number of adjacent nodes involved in the faulty node and the deviation value of the electrical parameters are calculated, and the faulty node and the adjacent nodes involved in the faulty node are identified; S 4: Displaying the power grid operation data and the faulty node, the adjacent nodes involved in the faulty node, the number of adjacent nodes involved in the faulty node and the electrical parameter deviation value.

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