Low-voltage distribution network power jump influence analysis system

Abstract

The invention discloses a low-voltage distribution network power jump influence analysis system. The system comprises a power jump area data integration module, a different power supply user power jump quantity preprocessing and transmission module, a low-voltage distribution network engineer interaction end and a power jump probability and risk level analysis module. Transmitting the power hopping area data of each power hopping area to a remote engineer data collection and distribution center through a 5G signal, then collecting load data collected by each power hopping area, carrying out de-noising and data cleaning on the received data, and sending the data to a remote engineer data collection and distribution center; the method comprises the following steps: acquiring power jump area data of all power jump areas in a low-voltage power distribution network engineer interaction end, and after risk level evaluation processing, generating a unit time power jump load fluctuation data statistical table and a power jump influence factor weight visual interface. Early warning can be quickly carried out, risk level assessment can be accurately carried out, and normal power supply is ensured.

Description

Technical Field

[0001] The invention relates to the field of power jump analysis, and in particular to a low-voltage distribution network power jump impact analysis system. Background Art

[0002] The low-voltage distribution network is an important part of the power system, directly providing electricity supply to residential, commercial and small and medium-sized industrial users. However, with the rapid growth of electricity demand and the diversification of power-consuming equipment, the problem of power fluctuation in the distribution network has become more prominent. Especially in scenarios such as sudden load changes, start-up and shutdown of high-power equipment, and access to distributed energy, power jumps can cause power quality problems such as voltage fluctuations, frequency deviations, and equipment failures, and in severe cases may even cause large-scale power outages. This complexity places higher demands on the monitoring and management of the distribution network, especially when power jumps occur. How to quickly issue warnings and locate them has become an urgent problem to be solved.

[0003] At present, the analysis system for the impact of power jumps on low-voltage distribution networks mainly relies on traditional power quality monitoring equipment and simple alarm mechanisms. These systems have multiple limitations: First, existing technologies usually rely on threshold alarm strategies with fixed rules, but in the face of complex dynamic power grid environments, this method cannot adapt to changes in load characteristics or network conditions in real time, resulting in insufficient early warning of power jumps. Second, the power jump analysis system relies on decentralized monitoring data when locating the source of anomalies, lacks a unified analysis and optimization algorithm, and is difficult to accurately identify the specific location where the risk occurs. Finally, the risk level assessment method is too simple, based only on a single indicator, and cannot fully reflect the potential impact of power jumps on the entire distribution network, which directly affects the accuracy and practicality of the alarm. Summary of the invention

[0004] In order to overcome the shortcomings of the above-mentioned prior art, the purpose of the present invention is to provide a low-voltage distribution network power jump impact analysis system, so as to intuitively display the start and stop time of electrical equipment deployed between power jump areas, data statistics between power jump areas, power jump impact range, transient overvoltage, nonlinear phenomenon statistics and other performance parameter data, so that when power supply abnormality occurs, it can quickly issue an early warning and accurately locate the risk level assessment, thereby quickly solving the problem.

[0005] To achieve the above object, the present invention provides a low-voltage distribution network power jump impact analysis system, comprising:

[0006] The power jump area data integration module is used to obtain the collection request of each power jump area and transmit the power grid information of each power jump area to the remote engineer data distribution center through 5G signals;

[0007] The power jump amount preprocessing and transmission module of different power supply users is used to collect the load data collected in each power jump area, and after denoising and data cleaning, the received data is stored in the low-voltage distribution network engineer interaction terminal according to the collected power jump area power grid information;

[0008] The low-voltage distribution network engineer interaction terminal is used for the graph convolutional neural network algorithm to calculate the power jump amount preprocessing of different power supply users and the data of each power jump area received and processed and stored in the transmission module;

[0009] The power jump probability and risk level analysis module is used to obtain the power jump area data of all power jump areas in the low-voltage distribution network engineer interaction terminal, and after risk level evaluation processing, generate a unit time power jump load fluctuation data statistics table and a power jump influencing factor weight visualization interface.

[0010] Furthermore, when the power jump area data integration module receives a collection request for the power jump monitoring area, it automatically generates a unit area power jump area feature for the power jump area, so as to locate the power jump area through the unit area power jump area feature, and at the same time sets the power supply safety data threshold of the power jump area and the power supply impact data of the power jump area within its power supply safety range.

[0011] Furthermore, the power jump probability and risk level analysis module also includes:

[0012] A unit time power jump load fluctuation data statistics table generating unit, used for generating a unit time power jump load fluctuation data statistics table according to the power grid information submitted when the power jump area is collected;

[0013] The power jump influencing factor weight visualization interface unit is used to generate a power jump influencing factor weight visualization interface based on the acquired power jump area data to display the start and stop time of electrical equipment per unit time in the current power jump area, and synchronously iterate the start and stop relationship of electrical equipment, detect whether the data status of each power jump area in the low-voltage distribution network engineer interaction terminal is iterated per unit time, obtain the data of the iterated power jump area, and iterate the corresponding data of the power jump influencing factor weight visualization interface.

[0014] Furthermore, the unit time power jump load fluctuation data statistics table dynamically displays the start and stop time of electrical equipment according to the power grid information submitted when the power jump area is collected, according to the equipment type. The core power jump area has the largest voltage fluctuation, and the affected power jump area has the voltage fluctuation decreasing step by step, until there is no power jump area outside the limited range.

[0015] Furthermore, the power jump influencing factor weight visualization interface unit also includes:

[0016] The factor risk level assessment unit is used to re-organize the risk level assessment of the acquired power jump area data, and generate a topological structure relationship between each power jump area according to the power jump area data, and establish a logical relationship between the unit area characteristics of each power jump area and the start and stop factors of the electrical equipment, and at the same time bind the power jump area power correlation information to the start and stop factors of the electrical equipment;

[0017] The harmonic and frequency offset suppression judgment unit is used to judge whether the current power jump influencing factor weight visualization interface needs harmonic and frequency offset suppression;

[0018] The harmonic and frequency offset suppression generation unit of the power jump influencing factor weight visualization interface is used to output all power jump area data according to the number of power jump areas and their associated relationships, and output the power jump area relationships at the same time when the judgment result is that the current electrical equipment start and stop diagram requires harmonic and frequency offset suppression;

[0019] The iterative unit of the visualization interface of the weight of the power jump influencing factors is used to detect whether the data status in the low-voltage distribution network engineer interaction terminal is iterated per unit time when the judgment result is that the current electrical equipment start-up and stop diagram does not require harmonic and frequency offset suppression, obtain the data of the iterative power jump area, correspond to the start-up and stop factors of the electrical equipment according to the characteristics of the power jump area, and iterate the data of the start-up and stop factors of the corresponding electrical equipment in the start-up and stop period of the electrical equipment.

[0020] Furthermore, the factor risk level assessment unit is used to obtain all power jump area data from the low-voltage distribution network engineer interaction terminal, generate a topological structure relationship based on the power jump area characteristics, the power jump area resonance within the power supply safety range and the line fault data, establish a logical relationship between the power jump area of ​​each unit area characteristic and the start and stop factors of the electrical equipment, and bind the load, transient overvoltage, nonlinear phenomenon, power jump area resonance, surge voltage position, power jump area data and other attributes of the power jump area object to the corresponding electrical equipment start and stop factors.

[0021] Furthermore, when there are a large number of power jump areas, the harmonic and frequency offset suppression generation unit of the power jump influencing factor weight visualization interface automatically obtains the harmonic and frequency offset types, automatically sorts and groups the power jump areas for feature clustering, so as to generate a complete power jump influencing factor weight visualization interface.

[0022] Furthermore, the power jump influencing factor weight visualization interface unit also includes:

[0023] The power supply abnormality warning unit is used to iterate and issue warning signals for abnormal power supply states, transient overvoltages, and nonlinear phenomena corresponding to the start and stop factors of electrical equipment when abnormal power supply in the power jump area is detected.

[0024] Furthermore, if a power jump influencing factor that is not integrated into the remote engineer data distribution center appears, it is connected to the power jump monitoring area in the power jump influencing factor weight visualization interface, and the power jump influencing factor weight visualization interface unit presents it as a power jump-free area per unit area and provides a visual prompt at the same time.

[0025] Beneficial effects:

[0026] The present invention provides a low-voltage distribution network power jump impact analysis system, which obtains the collection request of each power jump area in the remote engineer data distribution center, transmits the power jump area data of each power jump area to the remote engineer data distribution center through 5G signals, and then collects the load data collected by each power jump area, and after denoising and cleaning the received data, stores the collected power jump area data in the low-voltage distribution network engineer interaction terminal, obtains the power jump area data of all power jump areas in the low-voltage distribution network engineer interaction terminal, and generates a unit time power jump load fluctuation data statistics table and a power jump influence factor weight visualization interface after risk level assessment processing. The present invention can intuitively display the start and stop time of electrical equipment deployed between power jump areas, power jump area data statistics, power jump influence range, transient overvoltage, nonlinear phenomenon statistics and other parameter data, and can quickly give an early warning when power supply anomalies occur, and accurately locate the risk level assessment, thereby ensuring the accuracy of power jump alarms. The system integrates advanced real-time monitoring technology and intelligent analysis algorithms to quickly detect anomalies and achieve accurate positioning through multi-dimensional data analysis. At the same time, combined with the graph convolutional neural network algorithm for data analysis, it is possible to dynamically adjust the warning strategy and improve the reliability of power jump warning. This not only helps to enhance the safety and stability of the low-voltage distribution network, but also effectively reduces the fault handling time and economic losses, laying a solid foundation for the construction of future smart distribution networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a module composition diagram of a low-voltage distribution network power jump impact analysis system of the present invention;

[0028] Figure 2 The present invention is a flow chart of the operation of a low-voltage distribution network power jump impact analysis system. DETAILED DESCRIPTION

[0029] The following describes the implementation of the present invention through specific examples and in conjunction with the accompanying drawings. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and the details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention.

[0030] like Figure 1 As shown, the present invention provides a low-voltage distribution network power jump impact analysis system, comprising:

[0031] The power jump area data integration module is used to obtain the collection request of each power jump area and transmit the power grid information of each power jump area to the remote engineer data distribution center through 5G signals.

[0032] In the present invention, each power jump area in the system is transmitted to the remote engineer data distribution center through the power jump area data integration module through 5G signals. Here, each power jump area includes all power jump areas in the system, including power jump areas within the power supply safety range and affected power jump areas, and the power grid information of the affected power jump areas is collected to the remote engineer data distribution center. When the power jump area is collected, the unit area power jump area feature is automatically generated so that the remote engineer data distribution center can locate the power jump area through the unit area power jump area feature, and at the same time, the power grid information such as the resonance and current of each power jump area, as well as the resonance and line fault of the power jump area within the power supply safety range are set.

[0033] The power jump amount preprocessing and transmission module of different power supply users is used to collect the current load data collected by each power jump area, and after denoising and data cleaning of the received data, store it in the low-voltage distribution network engineer interaction terminal according to the collected power jump area power grid information. In other words, each power jump area in the system (including the power jump area within the power supply safety range and the affected power jump area) will collect its current sending or receiving state and statistical data per unit time, such as the time consumption of power jump probability and risk level analysis of the current power jump area, the time after data parsing, the number of surge voltages, load, surge voltage, list data of the affected power jump area, etc., and send the collected data to the remote engineer data distribution center, and the power jump amount preprocessing and transmission module of different power supply users in the remote engineer data distribution center receives the sending or receiving state and statistical data sent by each power jump area per unit time, and performs risk level assessment processing on it, and finally stores the obtained data in the low-voltage distribution network engineer interaction terminal according to the collected power jump area data.

[0034] The interactive terminal for low-voltage distribution network engineers is used for the graph convolutional neural network algorithm to calculate the power jump amount preprocessing of different power supply users and the data of each power jump area received and processed by the transmission module.

[0035] The power jump probability and risk level analysis module is used to obtain all power jump area data in the low-voltage distribution network engineer interaction terminal, and after risk level evaluation processing, generate a unit time power jump load fluctuation data statistics table and a power jump influencing factor weight visualization interface.

[0036] Specifically, the power jump probability and risk level analysis module also includes:

[0037] The unit time power jump load fluctuation data statistics table generating unit is used to generate the unit time power jump load fluctuation data statistics table according to the data submitted when the power jump area is collected. In the present invention, the unit time power jump load fluctuation data statistics table only needs to be generated once, which is mainly used to display the start and stop time of the electrical equipment in the power jump area.

[0038] In the present invention, the unit time power jump load fluctuation data statistics table displays the start-up and stop relationship diagram of the electrical equipment specified in the power jump area configuration process. The unit time power jump load fluctuation data statistics table dynamically displays the start-up and stop time of the electrical equipment according to the equipment type. The core power jump area (such as power jump area A) has the largest voltage fluctuation, and the affected power jump area (such as power jump area B) has a gradually decreasing voltage fluctuation, until there is no power jump area outside the limited range (such as power jump area C or power jump area D). The data displayed in the unit time power jump load fluctuation data statistics table is the data submitted when the power jump area is collected, which is relatively fixed and unchanged, and mainly reflects The start-stop relationship of electrical equipment in the power jump area and the power supply safety data threshold of the power jump area are now displayed, so as to facilitate and intuitively obtain the deployment architecture of the current system. For example, when a certain place is a power jump area for collection, a custom name is given to the current power jump area. All power jump areas in the unit time power jump load fluctuation data statistics table of the current system will be displayed in red, and the non-collected power jump area will not display a red mark. For example, the present invention can connect to power jump influencing factors that meet the specifications. At this time, there is no need to collect the remote engineer data distribution center of the present invention, but it can also be displayed through the remote engineer data distribution center of the present invention, that is, the power jump area in the power jump influencing factors is the non-collected power jump area.

[0039] The power jump influencing factor weight visualization interface unit is used to generate a power jump influencing factor weight visualization interface based on the acquired power jump area data to display the start and stop time of electrical equipment per unit time in the current power jump area, and synchronously iterate the start and stop relationship of electrical equipment, detect whether the data status of each power jump area in the low-voltage distribution network engineer interaction terminal is iterated per unit time, obtain the data of the iterated power jump area, and iterate the corresponding data of the power jump influencing factor weight visualization interface.

[0040] In a specific embodiment of the present invention, the power jump influencing factor weight visualization interface displays the start and stop time of electrical equipment per unit time in the current power jump area. For example, when high-availability switching is enabled in the power jump area, the power jump influencing factor weight visualization interface will synchronously iterate the start and stop relationship of the electrical equipment. In a specific embodiment of the present invention, the power jump influencing factor weight visualization interface displays data such as transient overvoltage in the power jump area, nonlinear phenomena, surge voltage position in the power jump area power jump influence range, power jump influence range speed, power jump influence range protocol, current power jump area time, and market time on each electrical equipment start and stop factor in the power jump influencing factor weight visualization interface, which can help load staff quickly obtain important data to achieve the purpose of unit time monitoring. The power jump influencing factor weight visualization interface is dynamically generated by the current power jump area connection status and the affected power jump area data. In addition to displaying the power jump area power grid information, it also displays the load, transient overvoltage, nonlinear phenomenon, power jump area resonance, surge voltage position, data time and current power jump area local time and other data per unit time. When the power jump area connection or the affected power jump area changes, the start and stop time of the electrical equipment is dynamically adjusted. At the same time, when the load, transient overvoltage, nonlinear phenomenon, network, power jump area connection number and other power supply anomalies are monitored, the corresponding power jump area electrical equipment start and stop factors can be iterated according to different colors, and sound warnings can be played and signal logs can be recorded. Furthermore, for the power jump influencing factors that are not collected by the remote engineer data distribution center, if they are currently connected to the power jump monitoring area in the power jump influencing factor weight visualization interface, they can also be presented as a unit area without power jump area, and marked with special graphics.

[0041] Furthermore, the power jump influencing factor weight visualization interface unit also includes:

[0042] The factor risk level assessment unit is used to obtain all power jump area data from the low-voltage distribution network engineer interaction terminal, re-assess the risk level of the acquired power jump area data, and generate a topological structure relationship between each power jump area based on the power jump area data, and establish a logical relationship between the unit area characteristics of each power jump area and the start and stop factors of the electrical equipment, and bind the power jump area power correlation information to the start and stop factors of the electrical equipment. Specifically, the factor risk level assessment unit re-assesses the risk level of the power jump area data of each power jump area, for example, generates a topological structure relationship based on the power jump area characteristics, the power jump area resonance and line fault data within the power supply safety range, establishes a logical relationship between the power jump area of ​​each unit area characteristics and the start and stop factors of the electrical equipment, and binds the load, transient overvoltage, nonlinear phenomenon, resonance, surge voltage position, power jump area data and other attributes of the power jump area object (i.e., the power jump amount preprocessing of different power supply users and the collection and processing of the transmission module) to the corresponding electrical equipment start and stop factors.

[0043] The harmonic and frequency offset suppression judgment unit is used to judge whether the current power jump influencing factor weight visualization interface requires harmonic and frequency offset suppression. That is to say, if the power jump influencing factor weight visualization interface is not generated currently, harmonic and frequency offset suppression is required to generate the power jump influencing factor weight visualization interface.

[0044] The harmonic and frequency offset suppression generation unit of the power jump influencing factor weight visualization interface is used to output all power jump area data according to the number of power jump areas and the correlation relationship when the judgment result is that the current electrical equipment start and stop diagram requires harmonic and frequency offset suppression, and output the data statistics of the power jump area at the same time. When the number of power jump areas is large, the harmonic and frequency offset types are automatically obtained, and the coordinates of each power jump area are determined according to the topological structure relationship and quantity calculation of the power jump area. The power jump areas are automatically sorted and grouped for feature clustering, such as setting some initial values, such as automatically wrapping when the page cannot be displayed in one line, so as to draw a complete electrical equipment start and stop diagram.

[0045] The iteration unit of the visual interface of the weight of the power jump influencing factors is used to detect whether the data status in the low-voltage distribution network engineer interaction terminal is iterated per unit time when the judgment result is that the current electrical equipment start and stop diagram does not need harmonic and frequency offset suppression, obtain the data of the iterated power jump area, correspond to the electrical equipment start and stop factors according to the characteristics of the power jump area, and iterate the data of the corresponding electrical equipment start and stop factors in the electrical equipment start and stop period. Specifically, when it is detected that there are new power jump areas and reduced power jump areas in the low-voltage distribution network engineer interaction terminal, it is necessary to return to the harmonic and frequency offset suppression generation unit of the visual interface of the power jump influencing factors weight to re-harmonize the harmonic and frequency offset suppression relationship. When it is detected that the data status is only a change in the power jump area data, such as data time changes, load changes, surge voltage changes, etc., there is no need to re-suppress the power jump area with harmonics and frequency offsets, and only the data of the corresponding factors need to be iterated.

[0046] Furthermore, the power jump influencing factor weight visualization interface unit also includes:

[0047] The power supply abnormality warning unit is used to iteratively generate warning signals, such as warning sound signals, corresponding to the start and stop factors of the electrical equipment, the abnormal power supply state, transient overvoltage, and nonlinear phenomena when power supply abnormality is detected in the power jump area.

[0048] like Figure 2 As shown, the present invention provides a low-voltage distribution network power jump impact analysis system, which is implemented by the following steps:

[0049] Step A101, obtain the collection request of each power jump area, and transmit the power jump area data of each power jump area to the remote engineer data distribution center through 5G signal.

[0050] In the present invention, each power jump area in the system needs to be transmitted to the remote engineer data distribution center through a 5G signal first. Each power jump area here includes all power jump areas in the system, including power jump areas within the power supply safety range and affected power jump areas, and the power grid information of the affected power jump areas is collected to the remote engineer data distribution center. When the power jump area data integration module receives a collection request for the power jump monitoring area, it automatically generates a unit area power jump area feature for the power jump area to locate the power jump area through the unit area power jump area feature, and at the same time sets the power supply safety data thresholds such as the power jump area resonance and name, as well as the resonance and line faults of the power jump area within the power supply safety range.

[0051] Step A102, collects the load data of the current power jump area collected by each power jump area, and stores the received data in the low-voltage distribution network engineer interaction terminal after denoising and data cleaning.

[0052] Specifically, each power jump area in the system (including the power jump area within the power supply safety range and the affected power jump area) will collect its current sending or receiving status and statistical data per unit time, and send the collected data to the remote engineer data distribution center. The remote engineer data distribution center will receive the current sending or receiving status and statistical data sent by each power jump area per unit time and store them in the low-voltage distribution network engineer interaction terminal.

[0053] Step A103, a graph convolutional neural network algorithm is used to calculate the power jump amount preprocessing of different power supply users and the data of each power jump area received and processed and stored in the transmission module;

[0054] Specifically, the Graph Convolutional Neural Network (GCN) algorithm is used to calculate the power jump amount of the power supply user. The core of this step is to analyze different areas in the power supply network based on the power jump data stored in the preprocessing and transmission modules to achieve efficient and accurate power jump impact assessment. The following is an analysis of the core process to achieve this step:

[0055] Graph model construction: The power supply network is modeled as a graph structure, where nodes represent power users or devices, and edges represent the relationship between power supply lines or users. Node attributes include power jump value, load characteristics, etc.; edge attributes include line impedance, transmission distance, etc.

[0056] Application of graph convolutional neural network,Input feature matrix: The input feature matrix consists of the power jump variables and related attributes of the power supply users, such as voltage, current, power fluctuation amplitude, etc.

[0057] Adjacency Matrix: Represents the connection relationship of the power supply network and is used to define the interaction between nodes.

[0058] GCN calculation process: The first layer of convolution: extract the power jump variable of each node in the power supply network, combine the information of adjacent nodes, and generate a primary feature vector through convolution operation. Nonlinear activation: improve the feature expression ability through activation functions (such as ReLU). Multi-layer superposition: introduce a multi-layer graph convolution network to aggregate more neighborhood information layer by layer to capture the spatial characteristics of power jumps in the region. Output prediction: generate the predicted value of the power jump variable of each node as the input for the next risk assessment.

[0059] Analysis and storage of calculation results, power jump area analysis: The output of GCN is used to determine the scope of abnormal power jumps and determine which areas of nodes have significant jumps, which helps to locate the source of the problem later.

[0060] Result storage: The analysis results (such as the power jump amount and jump intensity of the node) are stored in the database to provide input data for the risk level assessment module.

[0061] Key advantages: Capturing network characteristics: GCN can make full use of the topological structure information of the power grid and integrate the characteristics of nodes and edges into the calculation of power jump variables. Efficient analysis: Compared with traditional methods, GCN is more suitable for processing large-scale power supply network data and has higher computing efficiency. Accurate evaluation: By aggregating neighborhood information layer by layer, GCN can improve the prediction accuracy of power jump area data and provide a reliable basis for subsequent risk analysis.

[0062] This step ensures the efficiency and accuracy of power jump analysis and lays a solid data foundation for subsequent steps such as early warning and risk assessment.

[0063] Step A104, obtaining the power jump area data of all power jump areas in the low-voltage distribution network engineer interaction terminal, and generating a unit time power jump load fluctuation data statistics table and a power jump influencing factor weight visualization interface after risk level assessment processing.

[0064] Specifically, the power jump area data of all power jump areas in the low-voltage distribution network engineer interaction terminal are obtained, and after risk level assessment processing, a unit time power jump load fluctuation data statistical table and a power jump influencing factor weight visualization interface are generated, which also includes:

[0065] A unit time power jump load fluctuation data statistics table is generated based on the data submitted during power jump area collection.

[0066] In the present invention, the unit time power jump load fluctuation data statistics table displays the start-stop relationship diagram of the electrical equipment specified in the power jump area configuration process. The unit time power jump load fluctuation data statistics table dynamically displays the start and stop time of the electrical equipment according to the equipment type. The core power jump area has the largest voltage fluctuation, and the affected power jump area shows a step-by-step decrease in voltage fluctuation, until there is no power jump area outside the limited range. The unit time power jump load fluctuation data statistics table displays the data submitted when the power jump area is collected, which mainly reflects the start-stop relationship of the electrical equipment in the power jump area and the power supply safety data threshold of the power jump area, so as to facilitate and intuitively obtain the deployment architecture of the current system.

[0067] A power jump influencing factor weight visualization interface is generated based on the acquired power jump area data to display the start and stop time of electrical equipment per unit time in the current power jump area, and the start and stop relationship of the electrical equipment is synchronously iterated. The data status of each power jump area in the low-voltage distribution network engineer interaction terminal is detected per unit time to see whether there is iteration, the data of the iterated power jump area is obtained, and the corresponding data of the power jump influencing factor weight visualization interface is iterated.

[0068] In a specific embodiment of the present invention, the power jump influencing factor weight visualization interface displays the start and stop time of electrical equipment per unit time in the current power jump area. For example, when high-availability switching is enabled in the power jump area, the power jump influencing factor weight visualization interface will synchronously iterate the start and stop relationship of electrical equipment. In a specific embodiment of the present invention, the power jump influencing factor weight visualization interface will display data such as transient overvoltage in the power jump area, nonlinear phenomena, and surge voltage position in the power jump influence range of the power jump area on each electrical equipment start and stop factor, which can help load staff quickly obtain important data to achieve the purpose of unit time monitoring. The power jump influencing factor weight visualization interface is dynamically generated by the current power jump area connection status and the affected power jump area data. In addition to displaying the power jump area grid information, it also displays the load, speed, transient overvoltage, nonlinear phenomenon, resonance, surge voltage position, data time and the current power jump area local time and other data per unit time. When the power jump area connection or the affected power jump area changes, the start and stop time of the electrical equipment is dynamically adjusted. At the same time, when the load, transient overvoltage, nonlinear phenomenon, the number of power jump area connections and other power supply anomalies are monitored, the corresponding power jump area electrical equipment start and stop factors can be iterated according to different colors, and sound warnings and signal logs can be played. Furthermore, for the power jump influencing factors that are not collected by the remote engineer data distribution center, if they are currently connected to the power jump monitoring area in the power jump influencing factor weight visualization interface, they can also be presented as a unit area without power jump area, and marked with special graphics.

[0069] Further, a power jump influencing factor weight visualization interface is generated based on the acquired power jump area data to display the start and stop time of the electrical equipment per unit time in the current power jump area, and the start and stop relationship of the electrical equipment is iterated synchronously, and the data status of each power jump area in the low-voltage distribution network engineer interaction terminal is detected per unit time to see whether there is iteration, the data of the iterated power jump area is obtained, and the corresponding data of the iterative power jump influencing factor weight visualization interface also includes:

[0070] The acquired power jump area data is re-organized for risk level assessment, and a topological structure relationship is generated between each power jump area based on the power jump area data, and a logical relationship is established between the unit area characteristics of each power jump area and the start and stop factors of the electrical equipment, and the power jump area power correlation information is bound to the start and stop factors of the electrical equipment. Specifically, the factor risk level assessment unit re-organizes the risk level assessment of the acquired power jump area data of each power jump area, for example, a topological structure relationship is generated based on the power jump area characteristics, the power jump area resonance within the power supply safety range, and the line fault data, a logical relationship is established between the power jump area of ​​each unit area characteristics and the start and stop factors of the electrical equipment, and the attributes of the power jump area object such as load, transient overvoltage, nonlinear phenomenon, resonance, surge voltage position, power jump area data, etc. are bound to the corresponding electrical equipment start and stop factors.

[0071] Determine whether the current power jump influencing factor weight visualization interface requires harmonic and frequency offset suppression. That is, if the power jump influencing factor weight visualization interface is not generated currently, harmonic and frequency offset suppression is required to generate the power jump influencing factor weight visualization interface.

[0072] When the judgment result is that the current electrical equipment start and stop diagram requires harmonic and frequency offset suppression, all power jump area data are output according to the number of power jump areas and the associated relationship, and the power jump area relationship is output at the same time. For example, when the number of power jump areas is large, the harmonic and frequency offset types are automatically obtained, and the power jump areas are automatically sorted and grouped for feature clustering to generate a complete electrical equipment start and stop diagram.

[0073] When the judgment result is that the current electrical equipment start-up and stop diagram does not require harmonic and frequency offset suppression, the data status in the low-voltage distribution network engineer interaction terminal is detected per unit time to see if there is iteration, and the data of the iterative power jump area is obtained. The start-up and stop factors of the electrical equipment corresponding to the power jump area characteristics are corresponding to the start-up and stop factors of the electrical equipment in the start-up and stop period of the electrical equipment are iterated.

[0074] Further, a power jump influencing factor weight visualization interface is generated based on the acquired power jump area data to display the start and stop time of the electrical equipment per unit time in the current power jump area, and the start and stop relationship of the electrical equipment is iterated synchronously, and the data status of each power jump area in the low-voltage distribution network engineer interaction terminal is detected per unit time to see whether there is iteration, the data of the iterated power jump area is obtained, and the corresponding data of the iterative power jump influencing factor weight visualization interface also includes:

[0075] When power supply abnormality is detected in the power jump area, an early warning signal, such as an early warning sound signal, is iteratively issued corresponding to the abnormal power supply state, transient overvoltage, and nonlinear phenomenon of the start and stop factors of the electrical equipment.

[0076] The power grid information of the affected power jump area is transmitted to the remote engineer data distribution center through 5G signals. In the process of updating the power jump impact range of the affected power jump area data, the power jump amount collection unit of different power supply users collects the sending or receiving status and statistical data of the current power jump area per unit time, and then sends the collected data to the remote engineer data distribution center through the power jump area status sending unit; the power jump amount preprocessing and transmission module of different power supply users in the remote engineer data distribution center removes noise and cleans the received data, and stores it in the low-voltage distribution network engineer interaction terminal. The power jump probability and risk level analysis unit reads all power jump area data in the low-voltage distribution network engineer interaction terminal, and generates a unit time power jump load fluctuation data statistics table and a power jump influencing factor weight visualization interface after risk level evaluation processing. The power jump influencing factor weight visualization interface iterates the state per unit time, and automatically signals when power supply abnormality occurs.

[0077] All power jump area data are obtained from the low-voltage distribution network engineer interaction terminal of the remote engineer data distribution center.

[0078] The power jump probability and risk level analysis unit re-organizes the risk level assessment of the acquired power jump area data, generates a topological structure relationship based on the power jump area characteristics, the power jump area resonance within the power supply safety range, and the line fault data, establishes a logical relationship between the power jump area of ​​each unit area characteristic and the start and stop factors of the electrical equipment, and at the same time, binds the load, transient overvoltage, nonlinear phenomenon, resonance, surge voltage position, power jump area data and other attributes of the power jump area object to the corresponding electrical equipment start and stop factors.

[0079] Determine whether the current electrical equipment start and stop diagram requires harmonic and frequency offset suppression. When harmonic and frequency offset suppression is required, all power jump area data are drawn according to the specified coordinates, and the power jump area relationship is drawn at the same time. When there are a large number of power jump areas, the harmonic and frequency offset types are automatically obtained, the power jump areas are automatically sorted and grouped for feature clustering, and the electrical equipment start and stop diagram is drawn completely. If harmonic and frequency offset suppression is not currently required, the power jump area data is iterated according to the power jump area characteristics corresponding to the electrical equipment start and stop factors, that is, the electrical equipment start and stop diagram data is dynamically iterated to achieve unit time monitoring.

[0080] When the power supply status is abnormal, the start and stop factors of the electrical equipment are iterated into colors of each alarm level, and sound warnings of different alarms are played at the same time.

[0081] In summary, the present invention provides a low-voltage distribution network power jump impact analysis system, in which a remote engineer data distribution center obtains a collection request for each power jump area, transmits the power jump area data of each power jump area to the remote engineer data distribution center through a 5G signal, and then collects the load data collected by each power jump area, and after denoising and data cleaning of the received data, stores the collected power jump area data in the low-voltage distribution network engineer interaction terminal, obtains the power jump area data of all power jump areas in the low-voltage distribution network engineer interaction terminal, and generates a unit time power jump load fluctuation data statistics table and a power jump influencing factor weight visualization interface after risk level assessment processing. The present invention can intuitively display the start and stop time of electrical equipment deployed between power jump areas, data statistics between power jump areas, power jump impact range, transient overvoltage, nonlinear phenomenon statistics and other performance parameter data. When power supply abnormality occurs, it can quickly issue an early warning and accurately perform risk level assessment to ensure normal power supply.

[0082] The above embodiments are only illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Any person skilled in the art may modify and change the above embodiments without violating the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be as set forth in the claims.

Claims

1. A low voltage distribution network power jump impact analysis system, comprising: The power jump area data integration module is used to obtain the collection request of each power jump area and transmit the power grid information of each power jump area to the remote engineer data distribution center through 5G signals; The power jump amount preprocessing and transmission module of different power supply users is used to collect the load data collected in each power jump area, and after denoising and data cleaning, the received data is stored in the low-voltage distribution network engineer interaction terminal according to the collected power jump area power grid information; The low-voltage distribution network engineer interaction terminal is used for the graph convolutional neural network algorithm to calculate the power jump amount preprocessing of different power supply users and the data of each power jump area received and processed and stored in the transmission module; The power jump probability and risk level analysis module is used to obtain the power jump area data of all power jump areas in the low-voltage distribution network engineer interaction terminal, and after risk level evaluation processing, generate a unit time power jump load fluctuation data statistics table and a power jump influencing factor weight visualization interface.

2. A low voltage distribution network power jump impact analysis system as claimed in claim 1, characterized in that: When the power jump area data integration module receives a collection request for the power jump monitoring area, it automatically generates a unit area power jump area feature for the power jump area, so as to locate the power jump area through the unit area power jump area feature, and at the same time sets the power supply safety data threshold of the power jump area and the power supply impact data of the power jump area within its power supply safety range.

3. A low voltage distribution network power jump impact analysis system as claimed in claim 1, characterized in that: The power jump probability and risk level analysis module also includes: A unit time power jump load fluctuation data statistics table generating unit, used for generating a unit time power jump load fluctuation data statistics table according to the power grid information submitted when the power jump area is collected; The power jump influencing factor weight visualization interface unit is used to generate a power jump influencing factor weight visualization interface based on the acquired power jump area data to display the start and stop time of electrical equipment per unit time in the current power jump area, and synchronously iterate the start and stop relationship of electrical equipment, detect whether the data status of each power jump area in the low-voltage distribution network engineer interaction terminal is iterated per unit time, obtain the data of the iterated power jump area, and iterate the corresponding data of the power jump influencing factor weight visualization interface.

4. A low voltage distribution network power jump impact analysis system as claimed in claim 1, characterized in that: The unit time power jump load fluctuation data statistics table dynamically displays the start and stop time of electrical equipment according to the power grid information submitted when the power jump area is collected, according to the type of equipment. The core power jump area has the largest voltage fluctuation, and the affected power jump area has the voltage fluctuation decreasing step by step, until there is no power jump area outside the limited range.

5. A low voltage distribution network power jump impact analysis system as claimed in claim 3, characterized in that: The power jump influencing factor weight visualization interface unit also includes: The factor risk level assessment unit is used to re-organize the risk level assessment of the acquired power jump area data, and generate a topological structure relationship between each power jump area according to the power jump area data, and establish a logical relationship between the unit area characteristics of each power jump area and the start and stop factors of the electrical equipment, and at the same time bind the power jump area power correlation information to the start and stop factors of the electrical equipment; The harmonic and frequency offset suppression judgment unit is used to judge whether the current power jump influencing factor weight visualization interface needs harmonic and frequency offset suppression; The harmonic and frequency offset suppression generation unit of the power jump influencing factor weight visualization interface is used to output all power jump area data according to the number of power jump areas and their associated relationships, and output the power jump area relationships at the same time when the judgment result is that the current electrical equipment start and stop diagram requires harmonic and frequency offset suppression; The iterative unit of the visualization interface of the weight of the power jump influencing factors is used to detect whether the data status in the low-voltage distribution network engineer interaction terminal is iterated per unit time when the judgment result is that the current electrical equipment start-up and stop diagram does not require harmonic and frequency offset suppression, obtain the data of the iterative power jump area, correspond to the start-up and stop factors of the electrical equipment according to the characteristics of the power jump area, and iterate the data of the start-up and stop factors of the corresponding electrical equipment in the start-up and stop period of the electrical equipment.

6. A low voltage distribution network power jump impact analysis system as claimed in claim 5, characterized in that: The factor risk level assessment unit is used to obtain all power jump area data from the low-voltage distribution network engineer interaction terminal, generate a topological structure relationship based on the power jump area characteristics, the power jump area resonance within the power supply safety range and the line fault data, establish a logical relationship between the power jump area of ​​each unit area characteristic and the start and stop factors of the electrical equipment, and bind the load, transient overvoltage, nonlinear phenomenon, power jump area resonance, surge voltage position, power jump area data and other attributes of the power jump area object to the corresponding electrical equipment start and stop factors.

7. A low voltage distribution network power jump impact analysis system as claimed in claim 5, characterized in that: The harmonic and frequency offset suppression generation unit of the power jump influencing factor weight visualization interface automatically obtains the harmonic and frequency offset types when there are a large number of power jump areas, automatically sorts and groups the power jump areas for feature clustering, so as to generate a complete power jump influencing factor weight visualization interface.

8. A low voltage distribution network power jump impact analysis system as claimed in claim 3, characterized in that: The power jump influencing factor weight visualization interface unit also includes: a power supply abnormality warning unit, which is used to iterate the corresponding electrical equipment start-up and stop factor power supply abnormality state transient overvoltage and nonlinear phenomenon to issue a warning signal when power supply abnormality is detected in the power jump area.

9. A low voltage distribution network power jump impact analysis system as claimed in claim 8, characterized in that: If a power jump influencing factor that is not integrated into the remote engineer data distribution center appears, it is connected to the power jump monitoring area in the power jump influencing factor weight visualization interface. The power jump influencing factor weight visualization interface unit presents it as a power jump-free area per unit area and provides a visual prompt at the same time.

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