Network congestion relieving method and system based on event triggering parameter adjustment in smart power grid

Abstract

The invention relates to a network congestion relieving method and system based on event trigger parameter adjustment in a smart power grid, and belongs to the technical field of smart power grid control, and the method comprises the steps: carrying out the congestion judgment of a transmission link according to the bandwidth utilization rate, and obtaining a congestion judgment result; according to the congestion judgment result, tracing the sensor nodes to obtain the sensor nodes causing path congestion, and defining the sensor nodes as tracing nodes; performing adjustment priority division on the traceability nodes according to the actual bandwidth occupation size of each traceability node; and according to the division result, sequentially adjusting the event triggering parameters of the corresponding nodes according to the priority from high to low until the transmission link is not congested any more. According to the method, congestion judgment and accurate tracing are carried out on the communication network from the global perspective, and priority division and adjustment are carried out on the nodes based on the actual bandwidth occupation condition, so that global adjustment of the congestion of the communication network is realized.

Description

Technical Field

[0001] The present invention relates to a method and system for alleviating network congestion in a smart grid based on event-triggered parameter adjustment, and belongs to the technical field of smart grid control. Background Art

[0002] The power system is the backbone of global industrial development and the lifeblood of society and the economy. With growing global energy demand, increasing environmental concerns, and the drive for sustainable development, the modernization of the power system has become an inevitable trend. Smart grids, as a next-generation power network, integrate advanced sensing, communication, control, and information technologies to achieve highly intelligent and automated power production, transmission, distribution, and consumption. Smart grids not only improve power supply reliability and efficiency, but also facilitate the large-scale integration of renewable energy and optimize user-side energy efficiency management. However, all of these advances are built on a strong foundation of information and communication technologies.

[0003] The application of information and communications technology (ICT) in smart grids encompasses multiple aspects, from supervisory control and data acquisition (SCADA) systems and advanced metering infrastructure (AMI) to big data analytics, cloud computing, the Internet of Things (IoT), and artificial intelligence. These technologies work together to enable the grid to perceive its operating status in real time, predict potential failures, and respond rapidly. For example, the deployment of smart meters and sensors enables granular monitoring of consumer electricity usage. Edge computing and distributed databases enable rapid local processing of massive amounts of data, reducing latency and accelerating decision-making. Machine learning algorithms can uncover patterns in historical data, optimize dispatch strategies, and enhance the grid's resilience and flexibility.

[0004] While the development of advanced information technology has improved the operational quality and efficiency of smart grids, the growing demand for data collection and real-time monitoring has also placed significant pressure on smart grid communication networks. Traditional periodic data transmission strategies often result in large amounts of redundant information being sent to control centers. This not only consumes valuable bandwidth resources, but also increases the system's processing burden and reduces the efficiency of grid control decisions. In extreme cases, excessive transmission resource usage by redundant data can prevent the timely transmission of information required for system control decisions, threatening the stable operation of the power system.

[0005] Therefore, the event-triggered mechanism (ETM) has emerged as an efficient data transmission strategy. This mechanism determines when data transmission should occur by setting specific conditions or thresholds. Data packets are only sent when the system status changes significantly or when pre-set conditions are met. Compared to periodic transmission, this on-demand transmission method can significantly reduce unnecessary communication activity, effectively alleviating pressure on communication networks. However, existing event-triggered transmission technologies typically have fixed trigger parameters or adaptively adjust them based solely on the status of adjacent communication links at the transmission node. This reliance on node-specific parameter adjustment can only alleviate local communication pressure. For complex smart grid communication networks, existing regulation methods are not applicable when congestion occurs at the aggregation link. Summary of the Invention

[0006] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a method and system for alleviating network congestion in a smart grid based on event-triggered parameter adjustment, so as to solve the network congestion problem in the smart grid.

[0007] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0008] In a first aspect, the present invention provides a method for alleviating network congestion in a smart grid based on event-triggered parameter adjustment, comprising the following steps:

[0009] According to the bandwidth utilization, the transmission link is congested and the congestion judgment result is obtained;

[0010] Based on the congestion judgment result, the node is traced to the source, and the node causing congestion on the path is obtained and defined as the traceability node;

[0011] According to the actual bandwidth usage of each traceability node, the traceability nodes are prioritized;

[0012] According to the division results, the event trigger parameters of the corresponding nodes are adjusted in descending order of priority until the transmission link is no longer congested.

[0013] Furthermore, the congestion determination of the transmission link based on the bandwidth utilization specifically includes:

[0014] Obtain the topology and link status information of the communication network. The topology matrix A of the communication network is expressed as ;

[0015] Where, represents the matrix dimension, i.e. the number of communication nodes, is a matrix Elements representing communication nodes and communication nodes An indicator of whether direct communication is possible between them;

[0016] in Represents a communication node and communication nodes can communicate directly, otherwise, ; The total bandwidth capacity of the communication link capable of direct communication is , then the total bandwidth capacity matrix of the communication network is Expressed as ; The overall used bandwidth capacity matrix of the communication network Expressed as , the used bandwidth capacity of each communication link is expressed as ;

[0017] Bandwidth utilization of each communication link It is expressed as follows:

[0018] ;

[0019] Correspondingly, the bandwidth utilization matrix of the overall communication network is Expressed as ;in, , , and All are symmetric matrices;

[0020] The congestion threshold of each communication link is expressed as ,When the bandwidth utilization of the actual communication link exceeds the congestion threshold, it is determined that the current link is congested. The expression is:

[0021] ;

[0022] Where, For communication nodes and communication nodes Communication link Congestion indicator factor.

[0023] Furthermore, the global link congestion state matrix of the communication network Expressed as .

[0024] Furthermore, tracing the sensor node according to the congestion judgment result includes:

[0025] Each power node is equipped with a sensor for monitoring, forming a sensor node; the transmission path of each sensor node Expressed as ;

[0026] Where, Represents the transmission path through the first,…, k Intermediate nodes, represents the sensor node, Represents the set of lower-level sensor nodes, ; is the destination node for the corresponding sensor transmission, is the destination node set of the lower-level sensor nodes, expressed as ; Transmission path set matrix of all sensor nodes Expressed as ,in, Indicates the number of all transmission paths;

[0027] use and , trace the source of the sensor nodes that cause the corresponding communication link congestion, and judge the congested link Does it exist , get the resulting link The corresponding congested sensor node is represented as:

[0028] ;

[0029] in, Represents a set of traceability nodes. .

[0030] Furthermore, the prioritization of the tracing nodes according to the actual bandwidth occupied by each tracing node includes:

[0031] For each congested link , its traceability node set Expressed as , each traceability node The actual bandwidth usage is recorded as , the event trigger parameters of each node are recorded as ;

[0032] For each traceability node The actual bandwidth usage is sorted in descending order to obtain the adjustment priority division result. The sorted traceability node set is expressed as:

[0033] ;

[0034] in, Indicates the first,..., k traceability nodes, and The order satisfies .

[0035] Furthermore, adjusting the event trigger parameters of the corresponding nodes in descending order of bandwidth occupancy according to the division result until the transmission link is no longer congested specifically includes:

[0036] The event trigger condition is expressed as follows:

[0037] ;

[0038] in, is the number of acquisition cycles, is the data collection period, is the event trigger parameter, , It is the data of the last trigger time. is the data at the current sampling moment;

[0039] By adjusting event trigger parameters The amount of data transmitted to each sensor to exercise control;

[0040] and The relationship between them is expressed as:

[0041] .

[0042] Furthermore, when the sensor currently samples data satisfy When the data is transmitted, the data is transmitted, otherwise the data is not transmitted.

[0043] Furthermore, the adjusting the event trigger parameters of the corresponding nodes in descending order of priority according to the division result until the transmission link is no longer congested also includes:

[0044] According to the sorted traceability nodes, the event trigger parameters of the corresponding sensor nodes are adjusted to the preset maximum values in turn. , each time a node is adjusted, the used bandwidth matrix of the communication network is updated and bandwidth utilization matrix .

[0045] Furthermore, after adjusting a node, the used bandwidth matrix of the communication network is updated. and bandwidth utilization matrix After that, it also includes:

[0046] Determine again whether the link is congested. If so, adjust the next node. Otherwise, do not adjust the remaining nodes.

[0047] In a second aspect, the present invention provides a network congestion relief system based on event-triggered parameter adjustment in a smart grid, comprising:

[0048] The communication link status judgment module is used to judge the congestion of the transmission link according to the bandwidth utilization and obtain the congestion judgment result;

[0049] The congestion node tracing module is used to trace the sensor nodes according to the congestion judgment results, obtain the sensor nodes that cause path congestion, and define them as the tracing nodes;

[0050] The adjustment priority division module is used to divide the adjustment priority of the traceability nodes according to the actual bandwidth usage of each traceability node;

[0051] The event trigger parameter adjustment module is used to adjust the event trigger parameters of the corresponding nodes in descending order of priority according to the division result until the transmission link is no longer congested.

[0052] Beneficial effects

[0053] The present invention proposes a method and system for alleviating network congestion in smart grids based on event-triggered parameter adjustment. By using a node tracing method based on congested links, the node causing link congestion is accurately obtained based on congested link information, providing a basis for alleviating global congested links.

[0054] The present invention proposes a method and system for alleviating network congestion in a smart grid based on event-triggered parameter adjustment. By using a priority division method based on the actual bandwidth occupancy of nodes, the present invention solves the problem of random node adjustment resulting in significant sacrifice in control performance and poor network congestion relief.

[0055] The present invention proposes a network congestion relief method and system based on event-triggered parameter adjustment in smart grids. By accurately tracing the source of congested links and adjusting nodes according to priority, it solves the problem that traditional parameter adjustment methods can only alleviate local communication pressure, and realizes global adjustment of communication network congestion. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 This is a flow chart of a method for alleviating network congestion based on event-triggered parameter adjustment in a smart grid provided by an embodiment of the present invention;

[0057] Figure 2 This is a schematic diagram of a scenario for adjusting parameters of a smart grid event trigger provided by an embodiment of the present invention;

[0058] Figure 3 This is an algorithm flow chart of a method for alleviating network congestion based on event-triggered parameter adjustment in a smart grid provided by an embodiment of the present invention;

[0059] Figure 4Schematic diagram of smart grid communication topology of a method for alleviating network congestion based on event-triggered parameter adjustment in a smart grid provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0060] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and are not intended to limit the scope of protection of the present invention.

[0061] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, features defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0062] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0063] Example 1

[0064] like Figure 1 As shown, this embodiment introduces a method for alleviating network congestion in a smart grid based on event-triggered parameter adjustment, including:

[0065] S100, please refer to Figure 2 and Figure 4 ,According to the bandwidth utilization, the congestion of the transmission link is judged, and the congestion judgment result is obtained.

[0066] Specifically, network information is obtained and the overall communication network topology and communication link status are modeled;

[0067] Among them, the topology matrix of the communication network is , where represents the matrix dimension, i.e. the number of communication nodes, is a matrix Elements representing communication nodes and communication nodes An indicator factor indicating whether direct communication is possible between them. Represents a communication node and communication nodes can communicate directly, otherwise, ; The total bandwidth capacity of the communication link capable of direct communication is , then the total bandwidth capacity matrix of the communication network is expressed as The used bandwidth capacity matrix of the entire communication network is expressed as , the used bandwidth capacity of each communication link is expressed as ;

[0068] Bandwidth utilization of each communication link It is expressed as follows:

[0069] ;

[0070] Correspondingly, the bandwidth utilization matrix of the overall communication network is ;in, , , and All are symmetric matrices;

[0071] The congestion threshold of each communication link is expressed as ,When the bandwidth utilization of the actual communication link exceeds the congestion threshold, it is determined that the current link is congested. The expression is:

[0072] .

[0073] Where, For communication nodes and communication nodes Communication link Congestion indicator factor.

[0074] The global link congestion state of the communication network is represented by the matrix express.

[0075] S200, please refer to Figure 3 ,According to the congestion judgment result, the sensor nodes are traced, and the sensor nodes that cause path congestion are obtained and defined as the tracing nodes.

[0076] Specifically, the transmission path of each sensor node is recorded as , where Represents the transmission path through the first,…, k intermediate nodes, among which represents the sensor node, Represents the set of lower-level sensor nodes, ; represents the destination node of the corresponding sensor transmission, Represents the destination node set of the lower-level sensor nodes, ; The transmission path set of all sensor nodes is expressed as , Indicates the number of all transmission paths;

[0077] use and , trace the source of the sensor nodes that cause the corresponding communication link congestion, and judge the congested link Does it exist , get the resulting link Corresponding congested sensor nodes:

[0078] ;

[0079] in, Represents a set of traceability nodes. Indicates the 1st,…, traceability nodes, Meet the conditions .

[0080] S300: Prioritize the tracing nodes based on their actual bandwidth usage.

[0081] In a smart grid, each lower-level sensor is responsible for collecting data related to power services. However, different power services have varying data requirements, leading to differences in actual bandwidth usage among different sensors. Furthermore, for upper-level control in smart grids, transmitting as much data as possible improves system performance. Therefore, to minimize network congestion and maintain system performance, it is necessary to prioritize the adjustments of sensors contributing to link congestion to avoid simultaneous adjustments to all nodes, which could degrade system performance.

[0082] Specifically, for each congested link , its traceability node set is , each traceability node The actual bandwidth usage is recorded as , the event trigger parameters of each node are recorded as ;

[0083] For each traceability node The actual bandwidth usage is sorted in descending order to obtain the adjustment priority division result. The sorted traceability node set is expressed as:

[0084] ;

[0085] in, Indicates the first,..., k traceability nodes, and The order satisfies .

[0086] S400, please refer to Figure 2 and Figure 3 ,According to the division results, the event triggering parameters of the corresponding nodes are adjusted in order of priority from high to low until the transmission link is no longer congested.

[0087] Specifically, sensors usually use a data trigger mechanism based on discrete sampling data, and the event trigger condition is expressed as follows:

[0088] ;

[0089] in, is the number of acquisition cycles, is the data collection period, is the event trigger parameter, , It is the data of the last trigger time. Is the current sampling time data; when the sensor current sampling time data satisfy When the data is transmitted, the data is transmitted, otherwise the data is not transmitted.

[0090] By adjusting event trigger parameters The amount of data transmitted to each sensor to exercise control;

[0091] Therefore, prioritizing the adjustment of event trigger parameters of sensor nodes with large bandwidth occupancy can not only alleviate network congestion to the greatest extent, but also ensure that the control performance of other services is not affected by sacrificing the control accuracy of a small number of services. and The relationship between them is expressed as:

[0092] .

[0093] Although theoretically the event trigger parameters , but in actual application, in order to maintain the stability of the control system, the upper control system can calculate There is a maximum value According to the sorted tracing results, the event trigger parameters of the corresponding sensor nodes are adjusted to the maximum value in turn. , each time a node is adjusted, the used bandwidth matrix of the communication network is updated and bandwidth utilization matrix , and then determine again whether the link is still congested. If so, adjust the next node, otherwise do not adjust the remaining nodes.

[0094] Example 2 This embodiment provides a network congestion relief system based on event-triggered parameter adjustment in a smart grid, which is used to execute the network congestion relief method based on event-triggered parameter adjustment in a smart grid provided in the above-mentioned embodiment 1, including: a communication link status judgment module, a congested node tracing module, an adjustment priority division module and an event-triggered parameter adjustment module.

[0095] The communication link status judgment module is configured to: judge the congestion of the transmission link according to the bandwidth utilization rate and obtain a congestion judgment result;

[0096] The congestion node tracing module is configured to: trace the sensor nodes according to the congestion judgment result, obtain the sensor node that causes the path congestion, and define it as the tracing node;

[0097] The adjustment priority division module is configured to: divide the adjustment priority of the tracing nodes according to the actual bandwidth occupied by each tracing node;

[0098] The event trigger parameter adjustment module is configured to adjust the event trigger parameters of the corresponding nodes in descending order of priority according to the division result until the transmission link is no longer congested.

[0099] The specific functional implementation of each of the above modules can be found in the relevant content of the method in Example 1 and will not be elaborated on here.

[0100] Example 3 This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the steps of any one of the methods described in Embodiment 1 are implemented.

[0101] Example 4 This embodiment provides a computer device, including:

[0102] Memory, used to store computer programs / instructions;

[0103] A processor, configured to execute the computer program / instructions to implement the steps of any one of the methods described in Example 1.

[0104] Example 5 This embodiment provides a computer program product, including a computer program / instruction, which implements the steps of any one of the methods described in Example 1 when executed by a processor.

[0105] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

[0106] Those skilled in the art will appreciate that embodiments of the present disclosure may be provided as methods, systems, or computer program products. Thus, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0107] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0108] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0109] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure and are not intended to limit its scope of protection. Although the present disclosure has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that after reading the present disclosure, those skilled in the art can still make various changes, modifications or equivalent substitutions to the specific implementation methods of the invention, but these changes, modifications or equivalent substitutions are all within the scope of protection of the disclosed claims to be approved.

Claims

1. A method for alleviating network congestion in a smart grid based on event-triggered parameter adjustment, characterized in that: The following steps are involved: According to the bandwidth utilization, the transmission link is congested and the congestion judgment result is obtained; Based on the congestion judgment result, the node is traced to the source, and the node causing congestion on the path is obtained and defined as the traceability node; According to the actual bandwidth usage of each traceability node, the traceability nodes are prioritized; According to the division results, the event trigger parameters of the corresponding nodes are adjusted in descending order of priority until the transmission link is no longer congested.

2. The method for alleviating network congestion based on event-triggered parameter adjustment in a smart grid according to claim 1, characterized in that: The congestion determination of the transmission link according to the bandwidth utilization specifically includes: Obtain the topology and link status information of the communication network. The topology matrix A of the communication network is expressed as ; Where, represents the matrix dimension, i.e. the number of communication nodes, is a matrix Elements representing communication nodes and communication nodes An indicator of whether direct communication is possible between them; in, Represents a communication node and communication nodes can communicate directly, otherwise, ; The total bandwidth capacity of the communication link capable of direct communication is , then the total bandwidth capacity matrix of the communication network is B total Expressed as ; The overall used bandwidth capacity matrix of the communication network B use Expressed as , the used bandwidth capacity of each communication link is expressed as ; Bandwidth utilization of each communication link It is expressed as follows: ； Correspondingly, the bandwidth utilization matrix R of the overall communication network is ;in, , , and All are symmetric matrices; The congestion threshold of each communication link is expressed as ,When the bandwidth utilization of the actual communication link exceeds the congestion threshold, it is determined that the current link is congested. The expression is: ； Where, For communication nodes and communication nodes Communication link Congestion indicator factor.

3. The method for alleviating network congestion based on event-triggered parameter adjustment in a smart grid according to claim 2, characterized in that: The global link congestion state matrix L of the communication network is expressed as .

4. The method for alleviating network congestion based on event-triggered parameter adjustment in a smart grid according to claim 3, characterized in that: Tracing the node according to the congestion judgment result includes: Each power node is equipped with a sensor for monitoring, forming a sensor node; the transmission path of each sensor node Expressed as ; Where, Represents the transmission path through the first,…, k Intermediate nodes, represents the sensor node, Represents the set of lower-level sensor nodes, ; is the destination node for the corresponding sensor transmission, is the destination node set of the lower-level sensor nodes, expressed as ; Transmission path set matrix of all sensor nodes Expressed as ,in, Indicates the number of all transmission paths; use and , trace the sensor nodes that cause the corresponding communication link congestion, and judge the congested link Does it exist , get the resulting link The corresponding congested sensor node is represented as: ； in, Represents a set of traceability nodes. Indicates the 1st,…, k A traceability node.

5. The method for alleviating network congestion based on event-triggered parameter adjustment in a smart grid according to claim 4, characterized in that: The prioritization of the tracing nodes according to the actual bandwidth usage of each tracing node includes: For each congested link , its traceability node set Expressed as , each traceability node The actual bandwidth usage is recorded as , the event trigger parameters of each node are recorded as ; For each traceability node The actual bandwidth usage is sorted from large to small, and the adjustment priority division result is obtained, and the sorted traceability node set is obtained. Expressed as: ； in, represents the 1st,…,kth traceability node after sorting, and The order satisfies .

6. The method for alleviating network congestion based on event-triggered parameter adjustment in a smart grid according to claim 5, characterized in that: The step of adjusting the event trigger parameters of the corresponding nodes in descending order of priority according to the division results until the transmission link is no longer congested specifically includes: The event trigger condition is expressed as follows: ； in, is the number of acquisition cycles, is the data collection period, is the event trigger parameter, , It is the data of the last trigger time. is the data at the current sampling moment; By adjusting event trigger parameters The amount of data transmitted to each sensor to exercise control; and The relationship between them is expressed as: 。 7. The method for alleviating network congestion in a smart grid based on event-triggered parameter adjustment according to claim 6, characterized in that: When the sensor currently samples data satisfy When the data is transmitted, the data is transmitted, otherwise the data is not transmitted.

8. The method for alleviating network congestion based on event-triggered parameter adjustment in a smart grid according to claim 6, characterized in that: The method further includes adjusting the event trigger parameters of the corresponding nodes in descending order of bandwidth occupancy according to the division result until the transmission link is no longer congested: According to the sorted traceability nodes, the event trigger parameters of the corresponding sensor nodes are adjusted to the preset maximum values in turn. , each time a node is adjusted, the used bandwidth matrix of the communication network is updated and bandwidth utilization matrix .

9. The method for alleviating network congestion based on event-triggered parameter adjustment in a smart grid according to claim 8, characterized in that: After adjusting a node, the used bandwidth matrix of the communication network is updated and bandwidth utilization matrix After that, it also includes: Determine again whether the link is congested. If so, adjust the next node. Otherwise, do not adjust the remaining nodes.

10. A network congestion relief system based on event-triggered parameter adjustment in a smart grid, characterized in that: include: The communication link status judgment module is used to judge the congestion of the transmission link according to the bandwidth utilization and obtain the congestion judgment result; The congestion node tracing module is used to trace the transmission node based on the congestion judgment result, obtain the node that causes path congestion, and define it as the tracing node; The adjustment priority division module is used to divide the adjustment priority of the traceability nodes according to the actual bandwidth usage of each traceability node; The event trigger parameter adjustment module is used to adjust the event trigger parameters of the corresponding nodes in descending order of priority according to the division result until the transmission link is no longer congested.

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