Intelligent power distribution gateway system of power distribution station house and power distribution gateway control method

Abstract

The invention discloses an intelligent power distribution gateway system of a power distribution station house and a power distribution gateway control method. The system comprises an intelligent power distribution gateway power monitoring point module, a load fluctuation interval integration module, a voltage jump parameter integration module, a voltage jump parameter sending module, a load fluctuation interval screening analysis module, a power distribution station room circuit breaker state control module and a power distribution station room graph neural network early warning module. The state of the voltage jump circuit breaker of the power distribution station house is controlled according to the voltage jump parameters of different power supply groups meeting the requirements of the power monitoring point of the intelligent power distribution network, and multi-aspect control of multiple power distribution station houses can be realized through identifying the state of the load of the power distribution station house and through the abnormal position of the load. According to the system provided by the invention, the occurrence of dangerous accidents is avoided, and the safety of the power distribution station house is ensured.

Description

Technical Field

[0001] The present invention relates to the field of power distribution station control, and in particular to an intelligent power distribution gateway system and a power distribution gateway control method for a power distribution station. Background Art

[0002] As power systems develop towards intelligence and automation, the operation of distribution networks is increasingly reliant on efficient, intelligent monitoring and control systems. As a crucial node in power distribution, the operational stability of distribution stations directly impacts the reliability of power supply. To improve the monitoring capabilities of distribution systems, intelligent distribution gateway systems have emerged in recent years, designed to enable real-time monitoring, fault warnings, and automatic control of various power monitoring points in distribution stations. By collecting and analyzing key power parameters such as load fluctuations and voltage jumps, intelligent distribution gateway systems help operations and maintenance personnel promptly identify potential faults and avoid unexpected outages in the distribution system. However, existing technologies still have some shortcomings in load status identification and fault location, which directly impact the safety and reliability of distribution stations.

[0003] Currently, many intelligent power distribution gateway systems rely primarily on traditional rule-based monitoring methods, which typically monitor and generate alarms based on preset thresholds for electrical parameters in distribution substations. However, this approach suffers from an over-reliance on static rules and a failure to effectively account for the dynamic nature of load fluctuations. For example, under varying load conditions, fluctuations in parameters such as current and voltage in distribution systems can exhibit complex, nonlinear relationships, which traditional methods often struggle to accurately capture. This complexity is particularly problematic when experiencing large load fluctuations or equipment failures, making the system prone to misjudgments or missed detections, resulting in insufficient early warning of faults and, in turn, compromising system safety and stability. Furthermore, traditional methods typically focus solely on single electrical parameters when monitoring and identifying fault locations, ignoring the complex interactions between devices. This results in a weaker ability to comprehensively identify device status.

[0004] In addition, existing technologies lack effective intelligent support for dynamic identification and anomaly detection of load status. Traditional load fluctuation identification methods usually rely on simple statistical analysis or rule-based judgment, which makes it difficult to cope with the increasingly complex operating environment in distribution stations. With the widespread application of smart devices, the load of the distribution system has shown more nonlinear and dynamic changes, which makes the warning effect of existing technologies poor, especially when sudden voltage jumps or equipment failures occur. The system is often unable to quickly and accurately identify the problem and respond. The result of inaccurate load status identification is that the distribution station cannot handle potential faults or anomalies in a timely manner, which reduces the safety of the distribution station and may even cause larger-scale power outages or equipment damage. Therefore, improving the accuracy of load status identification and dynamic response capabilities has become a key issue that needs to be urgently addressed by the intelligent distribution gateway system. Summary of the Invention

[0005] In order to overcome the shortcomings and deficiencies of the existing technology, an intelligent distribution gateway system and a distribution gateway control method for a distribution station are proposed.

[0006] The present invention provides an intelligent power distribution gateway system for a power distribution station, the system comprising:

[0007] An intelligent power distribution gateway power monitoring point module, wherein the intelligent power distribution gateway power monitoring point module has a fluctuation interval equipment fault location monitoring point of the distribution station load, and the load fluctuation intervals of different power supply groups and voltage jump parameters of different power supply groups in the fluctuation interval equipment fault location monitoring point;

[0008] A load fluctuation interval integration module is used to collect the load fluctuation interval per unit time of the power distribution station load during the normal / abnormal working period of the power distribution station;

[0009] A voltage jump parameter integration module is used to collect voltage jump parameters of the power distribution station when voltage jumps occur in different time periods in the power distribution station;

[0010] A voltage jump parameter sending module is used to obtain the load fluctuation interval per unit time and the voltage jump parameter and transmit them to the power monitoring point module of the smart power distribution gateway;

[0011] A load fluctuation interval screening and analysis module is used to screen the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the smart distribution gateway power monitoring point in the fluctuation interval equipment fault location monitoring point, and send them to the distribution station circuit breaker state control module set on the distribution station control end. The smart distribution gateway power monitoring point requires that the load abnormality position displayed for the load fluctuation interval of the different power supply groups is the same as the load abnormality position reflected by the load fluctuation interval per unit time, and that the control period of the load fluctuation interval of the different power supply groups meets the set distribution station operation conditions;

[0012] The distribution station circuit breaker state control module is used to control the voltage jump circuit breaker state of the distribution station during normal / abnormal working period according to the voltage jump parameters of different power supply groups that meet the requirements of the power monitoring point of the intelligent distribution gateway;

[0013] The distribution station graph neural network early warning module is used to determine the level of the early warning signal based on the results of voltage trip circuit breaker state control, using the graph neural network model combined with abnormal peak values ​​of current and power.

[0014] According to one embodiment of the present invention, the load fluctuation interval screening and analysis module is provided in the power monitoring point module of the intelligent power distribution gateway, or the load fluctuation interval screening and analysis module is provided on the control end of the power distribution station.

[0015] According to one embodiment of the present invention, the load fluctuation interval integration module is an engineer control interface provided at the control end of the power distribution station.

[0016] According to one embodiment of the present invention, the distribution station circuit breaker status control module is also used to perform other voltage jump control modes to control the voltage jump circuit breaker status of the distribution station when the load fluctuation interval screening and analysis module fails to screen the load fluctuation intervals of the different power supply groups and the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent distribution gateway.

[0017] According to one embodiment of the present invention, the intelligent power distribution gateway system for a power distribution station further includes:

[0018] A power distribution network configuration component provided on the control terminal of the power distribution station, the power distribution network configuration component is used to measure the topology of the power distribution system and the connection relationship between devices when the voltage of the power distribution station jumps;

[0019] The distribution station circuit breaker status control module is also used to obtain the topology of the distribution system and the connection relationship between devices when the voltage jumps measured by the distribution network configuration component, and judge whether a reaction fault occurs in the distribution station based on the topology of the distribution system and the connection relationship between devices when the voltage jumps. When it is judged that a reaction fault occurs, other voltage jump control modes are used to control the voltage jump circuit breaker status of the distribution station.

[0020] The present invention also provides a method for controlling an intelligent power distribution gateway in a power distribution station, the method comprising:

[0021] S100. Establish a load fluctuation interval equipment fault location monitoring point for the distribution station in the power monitoring point module of the intelligent distribution gateway. The load fluctuation interval equipment fault location monitoring point stores the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups transmitted when the voltage jump occurs in different time periods in the distribution station;

[0022] S200, the power distribution station in normal / abnormal working period collects the unit time load fluctuation interval of the power distribution station load and transmits the obtained unit time load fluctuation interval to the power monitoring point module of the intelligent power distribution gateway;

[0023] S300, screening the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the smart distribution gateway power monitoring point in the fluctuation interval equipment fault location monitoring point, the smart distribution gateway power monitoring point requires that the load abnormality position displayed by the load fluctuation interval of the different power supply groups is the same as the load abnormality position reflected by the load fluctuation interval per unit time, and the control period of the load fluctuation interval of the different power supply groups meets the set distribution station operation conditions;

[0024] S400, controlling the voltage jump circuit breaker state of the distribution station according to the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent power distribution gateway;

[0025] S500: transmitting the load fluctuation interval per unit time and the voltage jump parameters collected by the power distribution station to a monitoring point of a fault location of the equipment in the fluctuation interval;

[0026] S600. Determine the level of the early warning signal based on the result of the voltage jump circuit breaker state control and the abnormal peak values ​​of current and power using a graph neural network model.

[0027] According to one embodiment of the present invention, the fluctuation interval equipment fault location monitoring point also stores the fluctuation interval correlation controlled from the load fluctuation intervals of the different power supply groups according to the set fluctuation interval correlation control method, and the fluctuation interval correlation includes the current frequency abnormal load fluctuation interval and the voltage frequency abnormal load fluctuation interval.

[0028] According to an embodiment of the present invention, the step of screening the load fluctuation ranges of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the power monitoring point of the intelligent power distribution gateway includes:

[0029] controlling the fluctuation interval related parameters contained in the load fluctuation interval per unit time according to the fluctuation interval correlation control method;

[0030] According to the comparison of the correlation of the fluctuation intervals and the control period, the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the smart distribution gateway power monitoring point are screened in the fluctuation interval equipment fault location monitoring point.

[0031] According to one embodiment of the present invention, the method for controlling an intelligent power distribution gateway in a distribution station further includes the step of forming a monitoring point for a fault location of the equipment in the fluctuation interval, and the step of forming the monitoring point for a fault location of the equipment in the fluctuation interval includes:

[0032] According to the fluctuation interval correlation, the load fluctuation intervals of the different power supply groups stored in the fluctuation interval equipment fault location monitoring point are divided into different load fluctuation thresholds; and

[0033] The step of screening the load fluctuation ranges of the different power supply groups and the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent power distribution gateway also includes:

[0034] Determining a load fluctuation threshold value according to fluctuation interval related parameters contained in the load fluctuation interval per unit time;

[0035] In the monitoring point of the equipment fault location in the fluctuation interval, the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups are screened, which have the same load fluctuation threshold as the unit time load fluctuation interval and the time difference between the control period and the preset period time does not exceed the operating conditions of the distribution station.

[0036] The different load fluctuation thresholds include load abnormality locations at the disconnection / short circuit locations of the distribution station building within a preset time period.

[0037] The different load fluctuation thresholds include the load of the intelligent distribution gateway of the distribution station during a preset period and the emergency response measures of the distribution station.

[0038] The voltage jump parameters of different power supply groups include the voltage sag of the distribution station, the voltage fluctuation amplitude, the voltage waveform distortion, the topology of the distribution system during voltage jump, and the connection relationship between devices.

[0039] The control method for the intelligent power distribution gateway of a power distribution station further comprises the following steps:

[0040] If the load fluctuation ranges of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the smart distribution gateway power monitoring point cannot be screened out in the fluctuation range equipment fault location monitoring point, other voltage jump control modes are used to control the voltage jump circuit breaker state of the distribution station, and at the same time, the unit time load fluctuation range and voltage jump parameters collected by the distribution station are still transmitted to the fluctuation range equipment fault location monitoring point.

[0041] The control method for the intelligent power distribution gateway of a power distribution station further comprises the following steps:

[0042] Control the topology of the distribution system and the connection relationship between the equipment when the voltage jumps in the distribution station, and judge whether a reaction fault occurs in the distribution station based on the topology of the distribution system and the connection relationship between the equipment when the voltage jumps. When it is judged that a reaction fault occurs, other voltage jump control modes are used to control the voltage jump circuit breaker status of the distribution station.

[0043] A monitoring point for the fault location of the fluctuation range equipment is established on the intelligent human-computer interaction interface, and the intelligent human-computer interaction interface performs the steps of screening the load fluctuation ranges of the different power supply groups and the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent distribution gateway, and then transmits the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent distribution gateway to the voltage jump control component of the distribution station, so that the voltage jump control component controls the state of the voltage jump circuit breaker.

[0044] Beneficial effects:

[0045] The present invention proposes an intelligent distribution gateway system and distribution gateway control method for distribution substations. This system can achieve multi-faceted control of multiple distribution substations by identifying the status of distribution substation loads, abnormal load locations, and various distribution substation parameters, such as voltage sag, voltage fluctuation amplitude, voltage waveform distortion, the topology of the distribution system during voltage jumps, and the connection relationships between devices. This facilitates analysis of voltage jump environments. Compared to existing control methods, the proposed system and distribution gateway control method are simpler and easier to implement. Compared to existing circuit breaker status analysis based on images, they offer higher accuracy, avoid dangerous accidents, and ensure the safety of distribution substations. Unlike traditional methods, this system can dynamically monitor load status and detect anomalies based on real-time data, avoiding the limitations of relying solely on static rules, thereby achieving more accurate fault warning and location. Furthermore, the system uses a graph neural network model to analyze abnormal peaks of current, voltage, and other parameters, and combines the complex relationships between devices to further improve the accuracy and response speed of fault identification. When the system detects equipment failure or voltage jumps, it promptly activates protection mechanisms (such as circuit breaker control) to prevent the fault from spreading and ensure the continuity and stability of power supply. Through automated control and early warning functions, the system significantly improves the operational efficiency and safety of distribution substations, effectively reduces human intervention, and lowers power system maintenance costs. This system provides a more intelligent and automated solution for distribution network management and maintenance, ensuring efficient, stable, and safe operation of the power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 The system module composition diagram of the present invention;

[0047] Figure 2 Flowchart for the method of the present invention. DETAILED DESCRIPTION

[0048] The preferred embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. The following description is for illustrative purposes only and is not intended to limit the present invention. Any other similar situations also fall within the scope of protection of the present invention.

[0049] According to a preferred embodiment of the present invention, an intelligent distribution gateway system for a distribution station based on fluctuation interval identification technology generally identifies the state of the target load and actively controls the state of the voltage trip circuit breaker based on the identified abnormal position of the load, thereby achieving active control of the voltage trip circuit breaker state of the distribution station at least to a certain extent.

[0050] like Figure 1 As shown, an intelligent distribution gateway system for a distribution station is provided, which includes an intelligent distribution gateway power monitoring point module with a fluctuation interval equipment fault location monitoring point of the distribution station load, and the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups in the fluctuation interval equipment fault location monitoring point. The system also includes multiple parts arranged on the control end of the distribution station, including a load fluctuation interval integration module, a voltage jump parameter integration module, a voltage jump parameter sending module, a distribution station circuit breaker status control module, and a distribution station map neural network early warning module.

[0051] The load fluctuation interval integration module is used to collect the unit time load fluctuation interval of the distribution station during normal / abnormal operation of the distribution station. The voltage jump parameter integration module is used to collect the voltage jump parameters of the distribution station when voltage jumps occur in different time periods. The voltage jump parameter transmission module is used to obtain the unit time load fluctuation interval and the voltage jump parameters and transmit them to the power monitoring point module of the intelligent distribution gateway.

[0052] The system may also include a load fluctuation interval screening and analysis module, which is used to screen the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the smart distribution gateway power monitoring point in the fluctuation interval equipment fault position monitoring point, and send them to the distribution station circuit breaker status control module set on the distribution station control end. The smart distribution gateway power monitoring point requires that the load abnormality position displayed for the load fluctuation interval of the different power supply groups is the same as the load abnormality position reflected by the unit time load fluctuation interval, and the control time period of the load fluctuation interval of the different power supply groups meets the set distribution station operating conditions.

[0053] The distribution station circuit breaker status control module on the distribution station will be able to obtain the voltage jump parameters of the different power supply groups that meet the requirements of the smart distribution gateway power monitoring point and control the voltage jump circuit breaker status of the distribution station during normal / abnormal working period based on this information.

[0054] The load fluctuation interval screening and analysis module is set in the power monitoring point module of the intelligent power distribution gateway, or the load fluctuation interval screening and analysis module is set on the control end of the power distribution station.

[0055] The load fluctuation interval integration module is an engineer control interface set up at the control end of the distribution station.

[0056] The distribution station graph neural network early warning module is used to determine the level of the early warning signal based on the results of the voltage jump circuit breaker state control, using the graph neural network model combined with the abnormal peak values ​​of current and power;

[0057] The distribution station circuit breaker status control module is also used to perform other voltage jump control modes to control the voltage jump circuit breaker status of the distribution station when the load fluctuation interval screening and analysis module fails to screen the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the smart distribution gateway power monitoring point.

[0058] The calculation of the graph neural network model includes:

[0059] Input data, node features: In the power distribution gateway system, nodes can represent different devices or areas in the distribution station, such as circuit breakers, loads, sensors, etc. The features of each node can include parameters such as current, voltage, power, and the working status information of the equipment (such as whether it is in normal / abnormal working period, whether a fault has occurred, etc.). Edge features: The edges between nodes represent their relationships or interactions. For example, there is a power flow relationship between the load and the circuit breaker in the distribution station, and voltage jumps and load fluctuations may cause interactions between devices. The features of the edge can include information such as the connection strength and communication delay between these devices.

[0060] Establishment of graph neural network architecture, graph convolutional network (GCN): Graph convolutional network is a common graph neural network architecture, which can effectively capture the local structural information of nodes. Graph convolution can be used to aggregate the neighborhood information of nodes to predict the status or fault of a certain device. For the power distribution gateway system, GCN can help combine the status information of adjacent devices, such as device current, voltage, and power, to detect system anomalies. Graph Attention Network (GAT): If the association between different devices is not completely symmetrical, or some devices have a greater impact on the warning results, a graph attention network can be used. GAT assigns different weights to each adjacent node through the attention mechanism, thereby more accurately reflecting the relationship between devices. Graph Autoencoder (GAE): If it is necessary to discover potential relationships or patterns between devices in the graph, graph autoencoders can be used for unsupervised learning. It encodes the graph structure and restores the original graph structure through the decoder to discover potential system abnormality patterns.

[0061] Training of graph neural network model, goal: The goal of training graph neural network is to identify failure modes when abnormal peaks such as current and power occur, and to determine whether the equipment has failed or whether protective measures (such as tripping) are required. Loss function: The model can be optimized using classification loss function (such as cross entropy loss) or regression loss function (such as mean square error), depending on how the warning signal level is represented. If the signal level is discrete (such as low / medium / high), classification loss is used; if it is continuous, regression loss is used. Training data: The input data can include historical operating data of the distribution system, including normal and abnormal data of current, voltage, and power, as well as voltage jumps and load fluctuation ranges when faults occur in distribution stations. By training on these data, graph neural networks can learn the relationship between different equipment and system failures.

[0062] Output of warning signals, node prediction: Through the inference process of the graph neural network, the final output will predict the status of each node based on the characteristics of the device nodes (such as current, power abnormality peaks, equipment fault information) and the characteristics of the edges (such as the power flow relationship between devices). Based on this status information, the model can generate a warning signal to determine whether protection control (such as tripping) is required. Warning signal level: Based on the prediction results output by the model, the level of the warning signal is determined using the set rules or thresholds. For example, the warning level for low voltage jumps and load fluctuations can be set to "low", while the warning level for high voltage jumps and large power abnormal peaks can be set to "high".

[0063] The intelligent power distribution gateway system for a power distribution station further includes:

[0064] A power distribution network configuration component provided on the control terminal of the power distribution station, the power distribution network configuration component is used to measure the topology of the power distribution system and the connection relationship between devices when the voltage of the power distribution station jumps;

[0065] The distribution station circuit breaker status control module is also used to obtain the topology of the distribution system and the connection relationship between devices when the voltage jumps measured by the distribution network configuration component, and judge whether a reaction fault occurs in the distribution station based on the topology of the distribution system and the connection relationship between devices when the voltage jumps. When it is judged that a reaction fault occurs, other voltage jump control modes are used to control the voltage jump circuit breaker status of the distribution station.

[0066] like Figure 2 As shown, the control method of the intelligent power distribution gateway in the power distribution station may include the following steps:

[0067] S100. Establish a load fluctuation interval equipment fault location monitoring point for the distribution station in the power monitoring point module of the intelligent distribution gateway. The load fluctuation interval equipment fault location monitoring point stores the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups transmitted when the voltage jump occurs in different time periods in the distribution station;

[0068] S200, the power distribution station in normal / abnormal working period collects the unit time load fluctuation interval of the power distribution station load and transmits the obtained unit time load fluctuation interval to the power monitoring point module of the intelligent power distribution gateway;

[0069] S300, screening the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the smart distribution gateway power monitoring point in the fluctuation interval equipment fault location monitoring point, the smart distribution gateway power monitoring point requires that the load abnormality position displayed by the load fluctuation interval of the different power supply groups is the same as the load abnormality position reflected by the load fluctuation interval per unit time, and the control period of the load fluctuation interval of the different power supply groups meets the set distribution station operation conditions;

[0070] S400, controlling the voltage jump circuit breaker state of the distribution station according to the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent power distribution gateway;

[0071] S500: transmitting the load fluctuation interval per unit time and the voltage jump parameters collected by the power distribution station to a monitoring point of a fault location of the equipment in the fluctuation interval;

[0072] S600. Determine the level of the early warning signal based on the result of the voltage jump circuit breaker state control and the abnormal peak values ​​of current and power using a graph neural network model.

[0073] It should be understood that the step of establishing a monitoring point for the location of a device fault in the fluctuation interval in the embodiment described herein is only for easier reading and understanding of the embodiment of the intelligent distribution gateway control method for a distribution station, and does not limit the step of establishing a monitoring point for the location of a device fault in the fluctuation interval to each execution of the method. In fact, it is easy to understand that, under normal circumstances, after the monitoring point for the location of a device fault in the fluctuation interval of the distribution station load is established, only the stored relevant data and information need to be updated and the usual necessary processing needs to be done for a considerable period of time, without the need to establish the monitoring point for the location of the device fault again. In other words, for each distribution station that is in, approaching, or about to enter a normal / abnormal working period or approaching stage, the above-mentioned intelligent distribution gateway control method for a distribution station will execute the steps after establishing the monitoring point for the location of a device fault in the fluctuation interval of the distribution station load.

[0074] It should be understood that an example of the smart distribution gateway power monitoring point module referred to here is an intelligent human-computer interaction interface. The intelligent human-computer interaction interface may have a large-scale storage space and the ability to process complex fluctuation range data, so that the collected large quantities of fluctuation range data can be processed according to a preset algorithm to obtain the corresponding load abnormality location information, and has the function of transmitting and receiving signals or data.

[0075] In an embodiment using an intelligent human-machine interaction interface, a monitoring point for the location of a device fault in a fluctuation range can be established on the intelligent human-machine interaction interface, and the intelligent human-machine interaction interface performs the steps of screening the load fluctuation ranges of different power supply groups and the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent distribution gateway. The voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent distribution gateway are then transmitted to the voltage jump control component of the distribution station, so that the voltage jump control component controls the state of the voltage jump circuit breaker. The advantage of this embodiment is that most of the algorithms that require a large amount of calculation will be concentrated in the intelligent human-machine interaction interface on the ground for processing. This solution relatively reduces the intermediate links of using information related to the load fluctuation range to identify and control the state of the voltage jump circuit breaker, which may be beneficial to improving processing efficiency and the reliability of active control of voltage jumps in some aspects.

[0076] The power monitoring point requirements of the intelligent distribution gateway actually include: the load fluctuation intervals determined based on the identification of the load fluctuation intervals are similar to a certain extent, which means that the load abnormality position reflected by the load fluctuation intervals of different power supply groups is the same as the load abnormality position reflected by the load fluctuation intervals per unit time, and the control time periods of the load fluctuation intervals of different power supply groups meet the set distribution station operating conditions.

[0077] According to some preferred embodiments of the present invention, the fluctuation interval equipment fault location monitoring point also stores the fluctuation interval correlation controlled from the load fluctuation intervals of the different power supply groups according to the set fluctuation interval correlation control method, and the fluctuation interval correlation includes the current frequency abnormal load fluctuation interval and the voltage frequency abnormal load fluctuation interval.

[0078] The current frequency abnormal load fluctuation interval and the voltage frequency abnormal load fluctuation interval may refer to the current frequency abnormal load fluctuation interval and the voltage frequency abnormal load fluctuation interval of the distribution station load.

[0079] In the above-mentioned method for controlling the intelligent power distribution gateway of a power distribution station, the step of screening the load fluctuation ranges of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the power monitoring point of the intelligent power distribution gateway includes:

[0080] controlling the fluctuation interval related parameters contained in the load fluctuation interval per unit time according to the fluctuation interval correlation control method;

[0081] According to the comparison of the correlation of the fluctuation intervals and the control period, the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the smart distribution gateway power monitoring point are screened in the fluctuation interval equipment fault location monitoring point.

[0082] The step of establishing a monitoring point for equipment failure locations within a fluctuation range of load in a distribution station further includes:

[0083] According to the fluctuation interval correlation, the load fluctuation intervals of different power supply groups stored in the fluctuation interval equipment fault location monitoring point are divided into different load fluctuation thresholds; and the step of screening the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the smart distribution gateway power monitoring point also includes:

[0084] Determining a load fluctuation threshold value according to fluctuation interval related parameters contained in the load fluctuation interval per unit time;

[0085] In the monitoring point of the equipment fault location in the fluctuation interval, the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups are screened, which have the same load fluctuation threshold as the unit time load fluctuation interval and the time difference between the control period and the preset period time does not exceed the operating conditions of the distribution station.

[0086] According to some preferred embodiments of the present invention, further voltage jump parameters for different power supply groups include the distribution station's voltage sag, voltage fluctuation amplitude, voltage waveform distortion, the topology of the distribution system during the voltage jump, and the connection relationships between devices. In some embodiments, the above-mentioned intelligent distribution gateway control method for distribution stations can be applied or integrated with existing methods for controlling voltage jumps in different time periods, such as other methods for controlling the state of voltage jump circuit breakers based on voltage waveform distortion.

[0087] Other voltage jump control modes, that is, existing voltage jump modes that can be adopted when the above-mentioned active voltage jump control method based on load fluctuation range identification fails, can typically be other voltage jump control modes that control the voltage jump circuit breaker state based on voltage waveform distortion.

[0088] The control method of the intelligent power distribution gateway of the power distribution station also includes the following steps:

[0089] If the load fluctuation ranges of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the smart distribution gateway power monitoring point cannot be screened out in the fluctuation range equipment fault location monitoring point, other voltage jump control modes are used to control the voltage jump circuit breaker state of the distribution station, and at the same time, the unit time load fluctuation range and voltage jump parameters collected by the distribution station are still transmitted to the fluctuation range equipment fault location monitoring point.

[0090] According to some preferred embodiments of the present invention, the method for controlling an intelligent power distribution gateway in a power distribution station further includes the following steps:

[0091] Control the topology of the distribution system and the connection relationship between the equipment when the voltage jumps in the distribution station, and judge whether a reaction fault occurs in the distribution station based on the topology of the distribution system and the connection relationship between the equipment when the voltage jumps. When it is judged that a reaction fault occurs, other voltage jump control modes are used to control the voltage jump circuit breaker status of the distribution station.

[0092] The embodiments described above are merely descriptions of preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the spirit of the present invention, various deformations, modifications, and substitutions made to the technical solutions of the present invention by ordinary technicians in this field should fall within the scope of protection determined by the claims of the present invention.

Claims

1. An intelligent power distribution gateway system for a power distribution station, characterized in that: The system includes: The power monitoring point module of the intelligent power distribution gateway is used to establish the fluctuation interval equipment fault location monitoring point of the distribution station load, the load fluctuation interval of different power supply groups and the voltage jump parameters of different power supply groups in the fluctuation interval equipment fault location monitoring point; A load fluctuation interval integration module, used for collecting the load fluctuation interval per unit time of the power distribution station load during the period when the power distribution station is in normal / abnormal working state; A voltage jump parameter integration module is used to collect voltage jump parameters of the power distribution station when voltage jumps occur in different time periods in the power distribution station; A voltage jump parameter sending module, used to obtain the load fluctuation interval per unit time and the voltage jump parameter and transmit them to the power monitoring point module of the intelligent power distribution gateway; A load fluctuation interval screening and analysis module is used to screen the load fluctuation intervals of the different power supply groups and the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent power distribution gateway in the fluctuation interval equipment fault location monitoring point, and send them to the distribution station house circuit breaker state control module set on the distribution station house control end; A distribution station breaker state control module, used to control the voltage jump circuit breaker state of the distribution station during normal / abnormal working period according to the voltage jump parameters of different power supply groups that meet the requirements of the power monitoring point of the intelligent distribution gateway; The distribution station room graph neural network early warning module is used to determine the level of the early warning signal based on the results of the voltage jump circuit breaker state control, using the graph neural network model combined with the abnormal peak values ​​of current and power; The load fluctuation interval screening and analysis module is arranged in the power monitoring point module of the intelligent power distribution gateway, or the load fluctuation interval screening and analysis module is arranged on the control end of the distribution station; the load fluctuation interval integration module is an engineer control interface arranged at the control end of the distribution station; the distribution station circuit breaker state control module is also used for performing other voltage jump control modes to control the voltage jump circuit breaker state of the distribution station when the load fluctuation interval screening and analysis module fails to screen the load fluctuation intervals of the different power supply groups and the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent power distribution gateway.

2. The intelligent power distribution gateway system for a power distribution station as claimed in claim 1, characterized in that: The calculation of the graph neural network model includes: Input data: Node features. In the power distribution gateway system, nodes represent different devices or areas in the power distribution station. The features of each node include current, voltage, power parameters, and the working status information of the device. Edge features. The edges between nodes represent their relationship or interaction. There is a power flow relationship between the load and the circuit breaker in the power distribution station. Voltage jumps and load fluctuations lead to interactions between devices. The edge features include the connection strength and communication delay information between these devices. Establishment of graph neural network architecture: Capture the local structural information of nodes through graph convolutional networks, and use graph convolution to aggregate the neighborhood information of nodes to predict the status or failure of a certain device; Training of graph neural network models: used to identify fault modes when current and power are abnormally peaked, and to determine whether the equipment is faulty or requires protective measures; Output of the warning signal: node prediction. Through the reasoning process of the graph neural network, the final output will predict the status of each node based on the characteristics of the device node and the characteristics of the edge. Based on this status information, the model generates a warning signal. The level of the warning signal: According to the prediction results output by the model, the level of the warning signal is judged using the set rules or thresholds.

3. The intelligent power distribution gateway system for a power distribution station as claimed in claim 1, characterized in that: The system further comprises: a power distribution network configuration component arranged on the control end of the power distribution station, the power distribution network configuration component being used to measure the topological structure of the power distribution system and the connection relationship between devices when the voltage of the power distribution station jumps; The distribution station circuit breaker status control module is also used to obtain the topological structure of the distribution system and the connection relationship between devices when the voltage jumps measured by the distribution network configuration component, and judge whether a reaction fault occurs in the distribution station based on the topological structure of the distribution system and the connection relationship between devices when the voltage jumps. When it is judged that a reaction fault occurs, other voltage jump control modes are used to control the voltage jump circuit breaker status of the distribution station.

4. A method for controlling an intelligent power distribution gateway in a power distribution station, characterized in that: The method includes: S100, establishing a monitoring point for a fluctuation interval equipment fault location of a load in a distribution substation, wherein the monitoring point for the fluctuation interval equipment fault location stores load fluctuation intervals of different power supply groups and voltage jump parameters of different power supply groups transmitted when voltage jumps occur in different time periods in the distribution substation; S200, the power distribution station in normal / abnormal working period collects the unit time load fluctuation interval of the power distribution station load and transmits the obtained unit time load fluctuation interval to the power monitoring point module of the intelligent power distribution gateway; S300, screening the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the smart distribution gateway power monitoring point in the fluctuation interval equipment fault location monitoring point, the smart distribution gateway power monitoring point requires that the load abnormality position displayed by the load fluctuation interval of the different power supply groups is the same as the load abnormality position reflected by the load fluctuation interval per unit time, and the control time period of the load fluctuation interval of the different power supply groups meets the set distribution station room operation conditions; S400, controlling the voltage jump circuit breaker state of the distribution station according to the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent power distribution gateway; S500, transmitting the load fluctuation interval per unit time and the voltage jump parameters collected by the power distribution station to the monitoring point of the equipment fault position in the fluctuation interval; S600. According to the result of the voltage jump circuit breaker state control, the level of the early warning signal is determined by using a graph neural network model in combination with abnormal peak values ​​of current and power.

5. A method for controlling an intelligent power distribution gateway in a power distribution station as claimed in claim 4, characterized in that: The fluctuation interval equipment fault location monitoring point also stores the fluctuation interval correlation controlled from the load fluctuation intervals of the different power supply groups according to the set fluctuation interval correlation control method, and the fluctuation interval correlation includes the current frequency abnormal load fluctuation interval and the voltage frequency abnormal load fluctuation interval.

6. A method for controlling an intelligent power distribution gateway in a power distribution station as claimed in claim 4, characterized in that: The step of screening the load fluctuation ranges of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the power monitoring point of the intelligent power distribution gateway includes: Controlling the fluctuation interval related parameters contained in the load fluctuation interval per unit time according to the fluctuation interval correlation control method; According to the comparison of the correlation of the fluctuation range and the control period, the load fluctuation ranges of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the power monitoring point of the intelligent distribution gateway are screened in the monitoring point of the equipment fault location in the fluctuation range.

7. A method for controlling an intelligent power distribution gateway in a power distribution station as claimed in claim 4, characterized in that: The method also includes the step of forming a monitoring point for a fault location of the fluctuation interval equipment: According to the fluctuation interval correlation, the load fluctuation intervals of different power supply groups stored in the fluctuation interval equipment fault location monitoring point are divided into different load fluctuation thresholds; the step of screening the load fluctuation intervals of different power supply groups and the voltage jump parameters of different power supply groups that meet the requirements of the power monitoring point of the intelligent power distribution gateway also includes: Determine the load fluctuation threshold value according to the fluctuation interval related parameters contained in the load fluctuation interval per unit time; The load fluctuation threshold value that is the same as the load fluctuation interval per unit time is screened in the monitoring point of the equipment fault position in the fluctuation interval.

8. A method for controlling an intelligent power distribution gateway in a power distribution station as claimed in claim 4, characterized in that: The method further comprises: Control the topology of the power distribution system and the connection relationship between the devices when the voltage of the power distribution station jumps, and judge whether the power distribution station has a reaction fault according to the topology of the power distribution system and the connection relationship between the devices when the voltage jumps, and when it is judged that a reaction fault occurs, perform other voltage jump control modes to control the voltage jump circuit breaker state of the power distribution station; A monitoring point for the location of the equipment fault in the fluctuation range is established on the intelligent human-computer interaction interface, and the intelligent human-computer interaction interface performs the steps of screening the load fluctuation ranges of the different power supply groups and the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent distribution gateway, and then transmits the voltage jump parameters of the different power supply groups that meet the requirements of the power monitoring point of the intelligent distribution gateway to the voltage jump control component of the distribution station, so that the voltage jump control component controls the state of the voltage jump circuit breaker.

9. A method for controlling an intelligent power distribution gateway in a power distribution station as claimed in claim 7, characterized in that: The different load fluctuation thresholds include the load of the intelligent distribution gateway of the distribution station and the emergency response measures of the distribution station during the preset period; The voltage jump parameters of different power supply groups include the voltage sag of the distribution station, the voltage fluctuation amplitude, the voltage waveform distortion, the topological structure of the distribution system when the voltage jumps, and the connection relationship between the equipment.

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