Real-time data interaction method and system based on phasor measurement device

Abstract

The invention discloses a real-time data interaction method and system based on a phasor measurement device, and relates to the technical field of data interaction communication. The real-time data interaction method based on the phasor measurement device comprises the following steps: monitoring a special communication link; delay fluctuation monitoring; and interactive time mark monitoring. According to the method, whether aggregation-preprocessing analysis is carried out or not is judged through special communication link transmission analysis, whether primary delay fluctuation optimization is carried out or not is judged by evaluating the delay fluctuation condition of broadband measurement data, if primary delay fluctuation optimization is not carried out, interaction time mark reliability analysis is carried out, and the reliability of the interaction time mark is improved. On the contrary, after primary delay fluctuation optimization is carried out, interaction time scale reliability analysis is carried out, and the effect of improving transmission timeliness, safety and time scale consistency during real-time data interaction of the photovoltaic power station and the dispatching master station is achieved. The problems of large transmission delay, low safety and inconsistent time marks during real-time data interaction between the photovoltaic power station and the dispatching master station in the prior art are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data interaction communication, in particular to a real-time data interaction method and system based on a phasor measurement device. BACKGROUND

[0002] Real-time interaction of wideband measurement data between a photovoltaic power station and a dispatch master station is a major determinant of guaranteeing real-time dynamic stability of a power grid. To achieve the interaction process, a photovoltaic power station PMU (Phasor Measurement Unit) collects wideband measurement data, including traditional power frequency phasors (voltage, current amplitude and phase angle) and high sampling rate captured wideband signals (such as sub- / super-synchronous harmonics, wideband oscillation); the collected wideband measurement data is subjected to high-precision time alignment, data integration, preliminary filtering and quality marking of multiple sources of data at the photovoltaic power station, and a localized fast spectral analysis or disturbance trigger is performed, forming a unified data stream with a time stamp, and then the integrated wideband data stream is transmitted to a remote dispatch master station in a low-delay and high-reliability manner through a power dispatch data network or other communication links, such as streaming, optical fiber or wireless encrypted transmission, to ensure lossless uploading of fast dynamic processes such as wideband oscillation, and after the dispatch master station receives the data, the data is injected into a WAMS (Wide Area Measurement System), real-time modal analysis, oscillation source positioning, stability evaluation and photovoltaic cluster coordination control are performed using advanced algorithms, and finally dispatch instructions or stability control strategies are generated and possibly issued to the photovoltaic power station for execution.

[0003] For example, the Chinese invention patent with the publication number CN102904820B discloses a scalable data interaction method and system with flow control, which includes: a securities exchange and market participants interact with a database / dbf file as a real-time information interface, market participants submit order data to the database interface, and the exchange submits response data and execution report data to the database interface, characterized in that the order book machine adaptively controls the number of requests sent to the trading host per unit time, and through flow control and a database interaction method that prevents data flood from impacting the interface database, the method avoids bringing huge data pressure to the server in a short time.

[0004] For example, the data interaction method and device disclosed in Chinese patent CN106559309B includes the following steps: after the data interaction between a first user and a second user is completed, the data interaction information between the first user and the second user is published in a user group associated with the first user, and the data interaction information carries data interaction prompt information corresponding to the second user; a data interaction request is received from a first terminal where a third user logs in, and the data interaction request is sent by the first terminal after the data interaction information is displayed and the data interaction prompt information is detected to be selected; the account information of the second user is sent to the first terminal, so that the first terminal displays the account information of the second user, and after receiving first data of the interaction between the third user and the second user, the first data and the account information are sent; the first data and the account information are received, and the data interaction between the third user and the second user is performed.

[0005] The above technology at least has the following technical problems: In the existing method, the data is mixed and transmitted in the special communication link between the PMU device and the dispatching master station, which has the disadvantages of serious bandwidth resource occupation, superimposed interference of multiple types of data, and no guarantee of the priority of critical data transmission, which may greatly increase the transmission delay of wideband measurement data and cause the delay fluctuation range to expand (up to hundreds of milliseconds). In addition, the delay fluctuation also causes the time scale of the uploaded data of different photovoltaic power stations to be unable to be accurately aligned, further increasing the risk of leakage of wideband measurement data in the transmission process. For example, if the core data such as the frequency and amplitude of wideband oscillation is intercepted in the transmission process, it may be used to analyze the weak link of the power grid, which poses a potential threat to the safe operation of the power grid. The dispatching master station needs to carry out real-time modal analysis, oscillation source positioning, and other work based on real-time and stable wideband measurement data (such as the dynamic changes of power frequency phasor and the frequency and amplitude information of wideband oscillation). If the received data has large delay fluctuation, the dispatching master station may not be able to real-time master the dynamic operation state of the photovoltaic power station, such as the distortion of the judgment of the oscillation trend of the dispatching master station during wideband oscillation monitoring, which further causes the problems of large transmission delay, low security, and inconsistent time scale in the real-time data interaction between the photovoltaic power station and the dispatching master station. SUMMARY

[0006] In order to solve the technical problems of large transmission delay, low security, and inconsistent time scale in the real-time data interaction between the photovoltaic power station and the dispatching master station in the prior art, the embodiments of the present application provide a real-time data interaction method and system based on a phasor measurement device. The technical solution is as follows: On the one hand, a real-time data interaction method based on a phasor measurement device is provided, including: during the real-time data interaction process of the phasor measurement device, performing dedicated communication link transmission analysis to obtain analysis results for evaluating the transmission qualification of the communication link; determining whether to perform aggregation-preprocessing analysis based on the analysis results to evaluate the communication status during the transmission of broadband measurement data to the dispatch master station; after the aggregation-preprocessing analysis is completed, evaluating the delay fluctuation of the broadband measurement data; determining whether to perform primary delay fluctuation optimization based on the evaluation results of the delay fluctuation to reduce the data packet occupancy time of the broadband measurement data; if primary delay fluctuation optimization is not performed, directly performing interactive timescale reliability analysis to determine whether to perform oscillation trend distortion determination; otherwise, after the primary delay fluctuation optimization is completed, performing interactive timescale reliability analysis, which is used to evaluate the timescale status when the photovoltaic power station and the dispatch master station interact with broadband measurement data, and oscillation trend distortion determination is used to evaluate the oscillation status of the broadband measurement data received by the dispatch master station.

[0007] On the other hand, a real-time data interaction system based on a phasor measurement device is provided, employing a real-time data interaction method based on a phasor measurement device, including: a dedicated communication link monitoring module, a delay fluctuation monitoring module, and an interaction time stamp monitoring module. The dedicated communication link monitoring module performs dedicated communication link transmission analysis during the real-time data interaction process of the phasor measurement device to obtain analysis results for evaluating the transmission qualification of the communication link. Based on the analysis results, it determines whether to perform aggregation-preprocessing analysis to evaluate the communication status during the transmission of broadband measurement data to the scheduling master station. The delay fluctuation monitoring module evaluates the delay fluctuation of the broadband measurement data after the aggregation-preprocessing analysis, and determines whether to perform primary delay fluctuation optimization based on the evaluation results, thereby reducing the link time occupied by broadband measurement data packets. The interaction time stamp monitoring module performs interaction time stamp reliability analysis directly to determine whether to perform oscillation trend distortion determination if primary delay fluctuation optimization is not performed; otherwise, it performs interaction time stamp reliability analysis after primary delay fluctuation optimization is performed.

[0008] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: 1. First, a dedicated communication link transmission analysis is performed to obtain the analysis results. Based on the analysis results, it is determined whether to perform aggregation-preprocessing analysis. This helps to pre-screen basic risks of the communication link and accurately allocate resources for subsequent analysis. After the aggregation-preprocessing analysis, the delay fluctuation of broadband measurement data is evaluated. Based on the evaluation results of the delay fluctuation of broadband measurement data, it is determined whether to perform primary delay fluctuation optimization. This helps to achieve timeliness control and preliminary problem repair in the broadband measurement data transmission process, reduce invalid data transmission, and improve the utilization rate of communication link resources. If primary delay fluctuation optimization is not performed, interactive timescale reliability analysis is directly performed to determine whether to determine oscillation trend distortion. Conversely, after primary delay fluctuation optimization, interactive timescale reliability analysis is performed. This helps to ensure the accuracy of broadband data application layer and prevent and control power grid transient risks. In turn, it helps to improve the timeliness, security, and timescale consistency of real-time data interaction between photovoltaic power plants and dispatch master stations, solving the problems of large transmission delay, low security, and inconsistent timescales in the existing technology.

[0009] 2. When the quantized value of delay fluctuation is greater than the preset quantized value of delay fluctuation, the quantized value of delay fluctuation to be optimized is input into the preset bandwidth allocation mapping set to allocate transmission bandwidth to the corresponding broadband measurement data. Based on the allocated transmission bandwidth, the primary delay fluctuation optimization priority is set to obtain the transmission bandwidth sequence. This helps to quickly and accurately suppress delay fluctuation, meet the real-time requirements of broadband measurement data, help to accurately match bandwidth requirements, avoid congestion delay caused by insufficient data transmission bandwidth, ensure the effectiveness of broadband measurement data transmission, improve bandwidth resource utilization efficiency, and avoid resource waste caused by indiscriminate occupation.

[0010] 3. In cases where latency is intolerable, such as sudden subsynchronous oscillations at the grid connection point of a photovoltaic power station or a sudden surge in current due to inverter failure, which require millisecond-level responses, the consequences of excessive latency may include equipment damage and regional power outages. By setting the primary delay fluctuation optimization priority through the first queuing model to obtain the transmission bandwidth sequence, it is helpful to prioritize the low-latency transmission of security-sensitive broadband data, block the spread of transient risks, avoid non-critical data occupying emergency bandwidth, allocate "exclusive emergency bandwidth" for core data, and ensure that transmission latency is minimized, thereby providing data timeliness assurance for emergency decision-making by the dispatch master station.

[0011] 4. Under tolerable latency conditions, such as daily steady-state monitoring of photovoltaic power plant output and statistics of non-critical harmonic data, a slight exceedance of broadband measurement data transmission latency will not directly cause power grid safety accidents. By setting the primary delay fluctuation optimization priority through the acquired second queuing model to obtain the transmission bandwidth sequence, it is helpful to achieve multi-service bandwidth collaborative allocation, avoid single data monopolizing resources, avoid "unnecessary high bandwidth occupation by broadband data", release resources to other services, help ensure the continuous transmission of non-urgent but important data, and support the long-term operation and maintenance and planning of photovoltaic power plants and dispatch master stations.

[0012] 5. When the delay fluctuation factor is greater than the time stamp synchronization factor, a second-level delay fluctuation optimization is performed. When the delay fluctuation factor is larger, it means that data delay fluctuation is the main reason affecting the time stamp synchronization of broadband measurement data. By performing a second-level delay fluctuation optimization, focusing on deeper and more multi-dimensional delay fluctuation optimization, it helps to solve the core real-time defects and ensure the stability and timeliness of data transmission. When the delay fluctuation factor is not greater than the time stamp synchronization factor, the inaccuracy of the current data timestamp may be the main reason for the time stamp synchronization error. By performing time stamp synchronization optimization, it helps to correct the timestamp deviation and ensure the timing alignment of broadband measurement data. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a flowchart of a real-time data interaction method based on a phasor measurement device provided in an embodiment of the present invention; Figure 2 This is a general overview diagram of a real-time data interaction method based on a phasor measurement device provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of dynamic adjustment of edge nodes in a real-time data interaction method based on a phasor measurement device provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of a real-time data interaction system based on a phasor measurement device provided in an embodiment of the present invention; Figure 5 This application provides an embodiment of a power system operation and maintenance platform interface based on a real-time data interaction method using a phasor measurement device. Figure 1 ; Figure 6This application provides an embodiment of a power system operation and maintenance platform interface based on a real-time data interaction method using a phasor measurement device. Figure 2 ; Figure 7 This application provides an embodiment of a power system operation and maintenance platform interface based on a real-time data interaction method using a phasor measurement device. Figure 3 . Detailed Implementation

[0015] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0016] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0017] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0018] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0019] This invention provides a real-time data interaction method based on a phasor measurement device. For example... Figure 1 The flowchart shown illustrates a real-time data interaction method based on a phasor measurement device. The processing flow of this method may include the following steps: Dedicated communication link monitoring: During the real-time data interaction of the phasor measurement device, dedicated communication link transmission analysis is performed to obtain analysis results for evaluating the transmission qualification of the communication link. Based on the analysis results, it is determined whether to perform aggregation-preprocessing analysis to evaluate the communication status during the transmission of broadband measurement data to the dispatch master station. By monitoring the dedicated communication link, it is possible to achieve accurate evaluation of the transmission qualification of the dedicated communication link, identify potential problems such as packet loss, bit errors, and abnormal basic delay in advance, eliminate basic link interference in broadband measurement data transmission analysis, and lay a reliable foundation for the effective implementation of subsequent aggregation-preprocessing analysis.

[0020] Latency fluctuation monitoring: After aggregation and preprocessing analysis, the latency fluctuation of broadband measurement data is evaluated. Based on the evaluation results, it is determined whether primary latency fluctuation optimization should be performed to reduce the link time occupied by broadband measurement data packets, thus ensuring accurate time stamp alignment. By monitoring latency fluctuations, dynamic control of latency fluctuations in broadband measurement data transmission can be achieved. By evaluating the amplitude of broadband data latency fluctuations in real time and locating the root cause of fluctuations, the link time occupied by data packets can be effectively reduced, clearing key obstacles to accurate time stamp alignment of broadband measurement data and avoiding data timing deviations caused by latency fluctuations.

[0021] Interactive timescale monitoring: If primary delay fluctuation optimization is not performed, interactive timescale reliability analysis is performed directly to determine whether oscillation trend distortion judgment is required. Otherwise, interactive timescale reliability analysis is performed after primary delay fluctuation optimization. Interactive timescale reliability analysis is used to evaluate the timescale status when the photovoltaic power station and the dispatch master station exchange broadband measurement data. Oscillation trend distortion judgment is used to evaluate the oscillation status of the broadband measurement data received by the dispatch master station. By performing interactive timescale monitoring, it is helpful to realize the reliability verification of the interactive timescale of broadband measurement data between the photovoltaic power station and the dispatch master station and the accurate judgment of oscillation trend distortion.

[0022] Before designing the real-time data interaction method based on a phasor measurement device provided in this application, a database storing various types of setting data is established. The database includes, but is not limited to, preset broadband signal capture frequency, preset communication load change value, etc., and the various values ​​are directly set by technicians.

[0023] like Figure 2 The diagram shown is a general overview of a real-time data interaction method based on a phasor measurement device provided in an embodiment of this application; Figure 2 It can be seen that: broadband measurement data and aggregation-preprocessing analysis values ​​are obtained by performing dedicated communication link transmission analysis. When the monitored aggregation-preprocessing analysis value is greater than the preset aggregation-preprocessing analysis value, dynamic adjustment of edge nodes is performed; otherwise, delay fluctuation analysis is performed to obtain the delay fluctuation quantization value. If the monitored delay fluctuation quantization value is greater than the preset delay fluctuation quantization value, transmission bandwidth allocation is performed to obtain the transmission bandwidth sequence, and primary delay fluctuation optimization is performed based on the transmission bandwidth sequence. If the monitored delay fluctuation quantization value is not greater than the preset delay fluctuation quantization value, interactive timescale reliability analysis is performed to obtain the interactive timescale reliability value. If the interactive timescale reliability value meets the interactive timescale reliability condition, oscillation trend distortion is determined; otherwise, timescale synchronization mapping is performed to obtain the delay fluctuation factor and timescale synchronization factor.

[0024] In this embodiment, the interaction and mutual influence of dedicated communication link monitoring, delay fluctuation monitoring, and interactive time stamp monitoring help improve the reliability, timeliness, and accuracy of broadband measurement data transmission from the photovoltaic power station to the dispatch master station throughout the entire process: dedicated communication link monitoring builds a "basic link defense line" for subsequent links, delay fluctuation monitoring optimizes timeliness and stability during transmission, and interactive time stamp monitoring ensures the "reliability and authenticity" of the final data. The three form a closed-loop guarantee from the source of the link to the application of the data.

[0025] Furthermore, the dedicated communication link transmission analysis includes transmission slice isolation analysis and aggregation-preprocessing analysis. Transmission slice isolation analysis is used to ensure the independence of the communication link, specifically as follows: If the relative bandwidth of the phasor measurement data acquired by the PMU device at a preset time point is greater than the preset relative bandwidth, the corresponding phasor measurement data is marked as broadband measurement data; otherwise, the corresponding phasor measurement data is marked as non-broadband measurement data. The preset relative bandwidth is represented by the average relative bandwidth of phasor measurement data over a historical time period. After slicing the marked broadband measurement data based on the 5G slicing method, aggregation-preprocessing analysis is performed. The specific process of aggregation-preprocessing analysis is as follows: Based on the capture frequency of the broadband signal corresponding to the broadband measurement data and the preset broadband signal capture frequency, the aggregation-preprocessing analysis value used to evaluate the non-compliance of the broadband measurement data aggregation and preprocessing process is obtained; The maximum value of the capture frequency of the broadband signal corresponding to the broadband measurement data is monitored by the spectrum analyzer and compared with the preset... The result of the ratio calculation of the broadband signal capture frequency is represented as the aggregation-preprocessing analysis value; the maximum capture frequency represents the maximum value among the broadband signal capture frequencies after removing abnormal capture frequencies; abnormal capture frequencies represent capture frequencies corresponding to broadband measurement data that are not within the preset qualified capture frequency range, and the preset broadband signal capture frequency is represented by the average value of the broadband signal capture frequencies corresponding to broadband measurement data over a historical time period; the aggregation-preprocessing analysis value and the preset aggregation-preprocessing analysis value are evaluated for deviation to reflect the degree of deviation between the broadband measurement data aggregation and preprocessing process: if the aggregation-preprocessing analysis value is not greater than the preset aggregation-preprocessing analysis value, a delay fluctuation analysis is performed to evaluate the delay fluctuation during the transmission of broadband measurement data to the scheduling master station; otherwise, dynamic adjustment of edge nodes is performed; dynamic adjustment of edge nodes means reducing the load of a single node to reduce the total communication load, wherein the preset aggregation-preprocessing analysis value is represented by the average value of the aggregation-preprocessing analysis values ​​over a historical time period.

[0026] like Figure 3 The diagram shown is a schematic representation of dynamic adjustment of edge nodes in a real-time data interaction method based on a phasor measurement device provided in an embodiment of this application; Figure 3It can be seen that: when the aggregate-preprocessing analysis value is greater than the preset aggregate-preprocessing analysis value, the edge node is dynamically adjusted to obtain the edge node adjustment value. When the number of edge nodes on the photovoltaic power station side reaches the predicted edge node adjustment value, the aggregate-preprocessing analysis value is obtained again. When the aggregate-preprocessing analysis value is not greater than the preset aggregate-preprocessing analysis value, the edge node dynamic adjustment is stopped and delay fluctuation analysis is performed. Otherwise, the edge node dynamic adjustment anomaly is determined.

[0027] Specifically, the dynamic adjustment process for edge nodes is as follows: Within the next preset preprocessing analysis time period, the aggregated-preprocessing analysis values ​​and the data volume of broadband measurement data transmitted through the network traffic analyzer are input into a preset neural network model to obtain the predicted edge node adjustment values; the preset preprocessing analysis time period represents the preset time period corresponding to the aggregated-preprocessing analysis; specifically, the aggregated-preprocessing analysis values ​​collected by preset personnel within the historical time period and the data volume of broadband measurement data transmitted through the network traffic analyzer are input into a preset neural network model (such as a random forest model) used to reflect the importance of features. Through feature splitting by the model, the corresponding edge node adjustment values ​​can be obtained.

[0028] Based on the initial number of edge nodes, the adjustment step size is used, corresponding to the magnitude of the edge node adjustment value. The number of edge nodes on the photovoltaic power station side is gradually increased until the predicted edge node adjustment value is reached. By gradually supplementing node resources, the data processing needs of different time periods can be met (such as sufficient nodes to carry the load during peak periods), while avoiding resource waste. At the same time, it reduces data allocation disorder caused by sudden changes in the number of nodes, ensuring the continuity and stability of broadband measurement data preprocessing. This helps to achieve a gradual improvement in the broadband measurement data processing capability of the photovoltaic power station and efficient resource utilization. When the number of edge nodes on the photovoltaic power station side reaches the predicted edge node adjustment value, the aggregation-preprocessing analysis value is reacquired. If the aggregation-preprocessing analysis value is not greater than the preset aggregation-preprocessing analysis value, the dynamic adjustment of edge nodes is stopped, and delay fluctuation analysis is performed. Otherwise, an edge node dynamic adjustment anomaly prompt is sent, and the dynamic adjustment of edge nodes is adjusted. The process involves the following steps: First, anomaly detection is performed during the dynamic adjustment of edge nodes. This involves assessing the communication load change during the edge node's dynamic adjustment process. The process includes: 1) Obtaining communication load change values ​​based on the initial and final states of the photovoltaic power station's communication load during the dynamic adjustment. 2) Monitoring the communication load at the beginning and end of the dynamic adjustment using a photovoltaic power station system tester. The difference between these values ​​is used as the communication load change value. 3) Determining the degree of communication load reduction based on the communication load change value: If the communication load change value is greater than a preset value, a photovoltaic power station maintenance notification is sent to designated personnel. Otherwise, aggregation-preprocessing optimization is performed. This optimization prioritizes network efficiency, improving the consistency of broadband measurement data timescale alignment. The preset communication load change value is represented by the average value of communication load change values ​​over a historical time period.

[0029] The specific process of aggregation-preprocessing optimization is as follows: During the next preset preprocessing analysis period, the aggregation-preprocessing analysis value, communication load change value, and the number of storage nodes for broadband measurement data monitored by the counter are input into the preset aggregation time window query set to obtain the aggregation time window adjustment value. Based on the magnitude corresponding to the obtained aggregation time window adjustment value, it is used as the adjustment step size, and the aggregation time window is gradually increased within the aggregation time window range (pre-set by personnel and including the upper and lower limits of the range). This slightly reduces real-time performance in exchange for improved processing efficiency, helping to achieve a precise balance between broadband measurement data aggregation efficiency and real-time performance. The system monitors the reacquired aggregation-preprocessing analysis value and communication load change value. When the aggregation-preprocessing analysis value is not greater than the preset aggregation-preprocessing analysis value and the communication load change value is greater than the preset communication load change value, the aggregation-preprocessing optimization is stopped and latency fluctuation analysis is performed. When the number of aggregation-preprocessing optimizations (each increase in the aggregation time window is counted as one) is greater than the preset maximum number of aggregation-preprocessing optimizations set in advance by the preset personnel, if the aggregation-preprocessing analysis value is still greater than the preset aggregation-preprocessing analysis value or the communication load change value is still greater than the preset communication load change value, an aggregation-preprocessing optimization anomaly prompt is sent.

[0030] In the embodiments of this application, several sets of query sets, mapping sets, query tables, and query tables retrieved from the database are provided. These query sets are pre-constructed by designated personnel and cover preset aggregation time window query sets, preset bandwidth allocation mapping sets, preset broadband measurement data transmission frame length query sets, preset timescale synchronization impact degree query tables, preset secondary broadband measurement data transmission frame length query sets, preset PTP (Precision Time Protocol) message transmission interval query tables, etc. The mapping relationships involved have dynamic characteristics, which can realize one-to-one correspondence between single parameters and support many-to-one correspondence between multiple parameters and single parameters.

[0031] For example, information such as the combination of communication load change values ​​collected by pre-defined personnel within a historical time period and the number of storage nodes for broadband measurement data, the quantized value of latency fluctuation to be optimized, the combination of the quantized value of latency fluctuation and the transmission frequency of broadband measurement data, interactive time-stamped reliability data, the combination of interactive time-stamped reliability data and the transmission frequency of broadband measurement data, and the combination of the number of messages corresponding to interactive time-stamped reliability data and broadband measurement data, are input into a machine learning model (such as a decision tree model) that reflects the importance of features. Through the model's feature splitting operation, corresponding weights or data can be obtained, namely, the aggregation time window adjustment value, transmission bandwidth, primary transmission frame length adjustment value, combination of latency fluctuation factor and time-stamped synchronization factor, secondary transmission frame length adjustment value, and PTP message transmission interval adjustment value, etc. Subsequently, the data from the historical time period is associated and matched with the corresponding weights or data to obtain query sets, mapping sets, query tables, etc.

[0032] Specifically, this embodiment provides several sets of data reflecting the importance of features, including combinations of communication load change values ​​and the number of storage nodes for broadband measurement data, quantized values ​​of delay fluctuation to be optimized, combinations of quantized values ​​of delay fluctuation and transmission frequencies of broadband measurement data, interactive time-stamped reliability data, combinations of interactive time-stamped reliability data and transmission frequencies of broadband measurement data, and combinations of the number of messages corresponding to interactive time-stamped reliability data and broadband measurement data. These are mapped one-to-one or many-to-one with corresponding aggregation time window adjustment values, transmission bandwidth, primary transmission frame length adjustment values, combinations of delay fluctuation factors and time-stamped synchronization factors, secondary transmission frame length adjustment values, and PTP message transmission interval adjustment values. The method involves using the real-time collected combinations of communication load change values ​​and the number of storage nodes for broadband measurement data, as well as the quantized values ​​of delay fluctuation to be optimized... The combination of delay fluctuation quantization value and broadband measurement data transmission frequency, interactive time stamp reliability data, the combination of interactive time stamp reliability data and broadband measurement data transmission frequency, and the combination of interactive time stamp reliability data and broadband measurement data corresponding to the number of messages are input into the corresponding preset aggregation time window query set, preset bandwidth allocation mapping set, preset broadband measurement data transmission frame length query set, preset time stamp synchronization influence degree query table, preset secondary broadband measurement data transmission frame length query set, and preset PTP message sending interval query table, etc. According to the preset mapping relationship, the corresponding aggregation time window adjustment value, transmission bandwidth, primary transmission frame length adjustment value, combination of delay fluctuation factor and time stamp synchronization factor, secondary transmission frame length adjustment value, and PTP message sending interval adjustment value are output, and the value range is limited to the interval 0-1.

[0033] In this embodiment, by dynamically adjusting the edge nodes when the aggregated-preprocessing analysis value exceeds the preset aggregated-preprocessing analysis value, it helps to achieve accurate adaptation of the load and optimization of the processing capacity of the edge nodes on the photovoltaic power station side. This avoids data processing delays or loss due to insufficient processing capacity of a single node, ensures the real-time performance and integrity of broadband measurement data aggregation and preprocessing, and lays an efficient data foundation for subsequent transmission to the dispatch master station. The mutual support and correlation between dedicated communication link transmission analysis and dynamic adjustment of edge nodes helps to achieve coordinated optimization of communication transmission and data processing, forming a closed loop where link status guides node adjustment and node adjustment optimizes link load. Through dynamic adjustment of edge nodes… When the aggregated-preprocessed analysis value obtained after the aggregation is greater than the preset aggregated-preprocessed analysis value, anomaly judgment is made for dynamic adjustment of edge nodes. When the communication load change value is greater than the preset communication load change value, aggregation-preprocessing optimization is performed. This helps to achieve closed-loop location and precise control of frequency measurement data processing and transmission anomalies. When the communication load change value is greater than the preset communication load change value, it indicates that the current data aggregation method (such as aggregation frequency, data dimension) is not compatible with the link carrying capacity. At this time, aggregation-preprocessing optimization can directly reduce the communication load fluctuation amplitude, balance the integrity of aggregation processing and the stability of link transmission, and avoid link transmission interruption or data distortion caused by sudden load changes.

[0034] Furthermore, the specific process of delay fluctuation analysis is as follows: Obtain a delay fluctuation quantization value to reflect the impact of the degree of non-compliance during aggregation-preprocessing analysis on the delay fluctuation of broadband measurement data; monitor the longest and shortest dwell times of broadband measurement data in the buffer using a timer, and use the ratio of their difference to a preset dwell time fluctuation duration as the delay fluctuation quantization value; determine the delay fluctuation deviation based on the delay fluctuation quantization value and the preset delay fluctuation quantization value: if the delay fluctuation quantization value is not greater than the preset delay fluctuation quantization value, perform interactive time-stamped reliability analysis; otherwise, mark the corresponding delay fluctuation quantization value as the delay fluctuation quantization value to be optimized, and allocate transmission bandwidth to determine the priority of primary delay fluctuation optimization for broadband measurement data. The preset delay fluctuation quantization value is represented by the average value of delay fluctuation quantization values ​​over a historical time period.

[0035] As an embodiment of the first aspect, the specific process of transmission bandwidth allocation is as follows: the quantized value of the delay fluctuation to be optimized is input into the preset bandwidth allocation mapping set to allocate transmission bandwidth to the corresponding broadband measurement data; based on the allocated transmission bandwidth, the primary delay fluctuation optimization priority is set to obtain the transmission bandwidth sequence, and the transmission bandwidth corresponding to the transmission bandwidth sequence decreases step by step in descending order; the broadband measurement data is subjected to primary delay fluctuation optimization in descending order of priority corresponding to the transmission bandwidth sequence.

[0036] In this embodiment, by allocating transmission bandwidth when the quantized value of delay fluctuation is greater than a preset quantized value of delay fluctuation, the priority of primary delay fluctuation optimization for broadband measurement data is determined. This helps to achieve accurate sorting and resource-oriented matching of primary optimization for broadband measurement data, avoiding disordered allocation and inefficient use of limited transmission bandwidth resources. By inputting the quantized value of delay fluctuation to be optimized into a preset bandwidth allocation mapping set, transmission bandwidth is allocated to the corresponding broadband measurement data. According to the allocated transmission bandwidth sequence, primary delay fluctuation optimization is performed on the broadband measurement data in descending priority order. The more bandwidth allocated, the greater the impact of the delay fluctuation risk of the data on the power grid, and the more priority should be given to initiating primary delay fluctuation optimization. This helps to achieve "standardized execution" and "efficient risk reduction" of primary delay fluctuation optimization for broadband measurement data, maximizing the efficiency of limited bandwidth resources in solving the delay fluctuation problem.

[0037] As an embodiment of the second aspect, the transmission bandwidth allocation means setting a primary delay fluctuation optimization priority based on the acquired first queuing model, and acquiring a transmission bandwidth sequence after setting the primary delay fluctuation optimization priority; the first queuing model is used to reflect the impact of the delay of broadband measurement data on the primary delay fluctuation optimization priority under the condition of unacceptable delay.

[0038] The first queuing model is obtained through the following method: ; Where P represents the priority of broadband measurement data transmission, C represents the service rate constant, and λ represents the arrival rate. loss T represents the packet loss rate. max T represents the maximum allowable delay. actual α represents the actual transmission delay, μ represents the system service rate, and α represents the adjustment factor.

[0039] The maximum transmission rate of broadband measurement data within a preset time period, monitored by a network performance tester, is represented as the service rate constant (in packets per second). The average of the number of broadband measurement data packets arriving at the preset receiving end and the total number of transmitted data packets within the preset time period, monitored by a network performance tester, is used as the arrival rate (unitless). The number of lost broadband measurement data packets within the preset time period, monitored by a counter, is used as the ratio of this number to the total number of transmitted data packets as the packet loss rate (unitless). The time taken for broadband measurement data to arrive at the preset receiving end within the preset time period, monitored by a timer, is used as the difference between this time and the preset minimum time, which is used as the maximum allowable delay. The time taken for broadband measurement data to arrive at the preset receiving end within the preset time period, monitored by a timer, is used as the difference between this time and the preset arrival time, which is used as the actual transmission delay (in seconds). The average rate at which the preset receiving end receives broadband measurement data within the preset time period, monitored by a network performance tester, is used as the system service rate (in packets per second). The adjustment factor is used to control the degree of influence of delay on priority and can be adjusted through empirical values.

[0040] In this embodiment, under conditions where latency is intolerable, such as sudden subsynchronous oscillations at the grid connection point of a photovoltaic power plant or a sudden surge in current due to an inverter fault, transient events requiring millisecond-level responses are handled by obtaining a transmission bandwidth sequence based on the first queuing model. This helps to achieve "priority-preemptive bandwidth guarantee" for broadband measurement data of transient events, avoiding data queuing and blocking, ensuring that millisecond-level response requirements are met, and providing key data support for the dispatch master station to quickly handle grid risks. The core characteristics of such transient events are "high harm and short response window." If a single synchronous oscillation is not monitored and handled in time, it may cause damage to wind turbines and transformers. If the transmission of a sudden surge in inverter fault current is delayed, the dispatch master station will not be able to quickly cut off the fault source, thereby expanding the scope of the accident. Therefore, its broadband measurement data (such as oscillation frequency and fault current amplitude) must be transmitted with "zero queuing delay." The essence of the first queuing model is a priority-driven preemptive resource allocation model. The transmission bandwidth sequence obtained through this model will mark the broadband data related to the transient event as the highest priority and give it "bandwidth preemption rights" to ensure that it is not squeezed out by other low-priority data during transmission, thus ensuring data integrity and real-time performance.

[0041] As an embodiment of the third aspect, the transmission bandwidth allocation means setting the primary delay fluctuation optimization priority based on the acquired second queuing model, and obtaining the transmission bandwidth sequence after setting the primary delay fluctuation optimization priority; the second queuing model is used to reflect the impact of the delay of broadband measurement data on the primary delay fluctuation optimization priority under the condition of tolerable delay.

[0042] The second queuing model is obtained through the following method: ; In this embodiment, under tolerable latency conditions, such as daily steady-state monitoring of photovoltaic power plant output and statistics of non-critical harmonic data, efficient and balanced utilization of transmission bandwidth resources in steady-state scenarios is achieved, avoiding resource waste and excessive crowding of low-priority data. At the same time, bandwidth redundancy is reserved for potential transient events, balancing steady-state monitoring needs and grid emergency reserves. The essence of the second queuing model is a non-preemptive resource allocation model driven by fairness and efficiency. Compared with the first queuing model, which pays more attention to the negative impact of packet loss rate and latency, the second queuing model adjusts priorities through multiplication, avoiding the allocation of excessive bandwidth to a single steady-state data (such as avoiding the long-term queuing of harmonic data due to the exclusive use of bandwidth by daily output data). Instead, it dynamically allocates appropriate bandwidth according to the transmission needs of various types of steady-state data (such as data volume and update frequency), ensuring that multiple types of steady-state data can be transmitted in an orderly manner, thereby improving the overall bandwidth utilization rate.

[0043] Furthermore, primary latency fluctuation optimization involves retransmitting the broadband measurement data corresponding to the quantized latency fluctuation value to be optimized within the primary transmission frame length adjustment range (pre-set by personnel and including the upper and lower limits of this range). Then, during the next preset latency fluctuation analysis period, the broadband measurement data transmission frame length is gradually reduced based on the amplitude corresponding to the primary transmission frame length adjustment value of the broadband measurement data. This helps to achieve initial load relief and link adaptation for broadband measurement data transmission. The transmission frame length directly affects the link occupancy time of a single frame (the longer the frame length, the longer the transmission time of a single frame, and the more likely it is to cause link congestion). While ensuring that the core information of the broadband data is not lost, reducing the link occupancy time of a single frame alleviates link transmission pressure (such as reducing subsequent data transmission caused by large frame congestion). Based on queuing delay), it lays the foundation for basic transmission stability; within a preset range of primary delay fluctuation optimization times (reducing the broadband measurement data transmission frame length once is counted as one time), when the reacquired delay fluctuation quantization value is not greater than the preset delay fluctuation quantization value, primary delay fluctuation optimization is stopped and interactive time-stamped reliability analysis is performed; otherwise, a primary delay fluctuation optimization alarm is sent; the primary transmission frame length adjustment value of broadband measurement data is obtained by inputting the delay fluctuation quantization value and the transmission frequency of broadband measurement data monitored by the network protocol analyzer into the preset broadband measurement data transmission frame length query set to query the corresponding primary transmission frame length adjustment value of broadband measurement data; the preset delay fluctuation analysis time period represents the preset time period corresponding to the delay fluctuation analysis.

[0044] Specifically, the process of interactive timescale reliability analysis is as follows: The interactive timescale reliability value is obtained and compared with the interactive timescale reliability conditions. The interactive timescale reliability value reflects the timescale compliance status when the photovoltaic power station interacts with the dispatch master station for broadband measurement data. If the interactive timescale reliability value meets the interactive timescale reliability conditions, an oscillation trend distortion judgment is performed; otherwise, a timescale synchronization mapping query is performed to reflect the impact of the interactive timescale reliability data on the compliance status of the interactive timescale reliability analysis. The interactive timescale reliability data includes the qualified delay fluctuation quantification value and the interactive timescale reliability value, which reflect the compliance level of the delay fluctuation analysis. The interactive timescale reliability conditions indicate that the interactive timescale reliability value is greater than the preset interactive timescale reliability value. The preset interactive timescale reliability value is determined by the interaction of historical time periods. The average value of the mutual timescale reliability is represented by the timescale synchronization mapping query, which means inputting the mutual timescale reliability data into the preset timescale synchronization impact query table to obtain the delay fluctuation factor and the timescale synchronization factor. If the delay fluctuation factor is greater than the timescale synchronization factor, it means that the timescale deviation is mainly due to link fluctuation, so secondary delay fluctuation optimization is performed to reduce the possibility of distortion of high-precision timescale during transmission. Conversely, it means that the timescale deviation is due to synchronization level problems such as PTP protocol configuration and weak timing signal, so timescale synchronization optimization is performed. The qualified delay fluctuation quantization value is represented by the delay fluctuation quantization value that is not greater than the preset delay fluctuation quantization value. The mutual timescale reliability value is represented by the result of the ratio calculation between the preset message synchronization duration and the duration of the message sent from the master clock to the slave clock corresponding to the PMU device.

[0045] Specifically, the process of secondary delay fluctuation optimization is as follows: Secondary delay fluctuation optimization is used to reduce serialization delay and thus reduce the probability of distortion of high-precision time stamps during transmission, based on the completion of primary delay fluctuation optimization. Specifically, within the secondary transmission frame length adjustment range of the next preset time stamp analysis period (pre-set by personnel and including the upper and lower limits of the range), the transmission frequencies of interactive time stamp reliability data and broadband measurement data are input into the preset secondary broadband measurement data transmission frame length query set to query the corresponding secondary transmission frame length adjustment value of the broadband measurement data; using the amplitude corresponding to the secondary transmission frame length adjustment value of the broadband measurement data as the adjustment step size, the broadband measurement data transmission frame length is gradually reduced. The length of the frame length helps to achieve refined load management and complex link adaptation for broadband measurement data transmission. The more accurate adjustment range generated based on the real-time status of the link after the initial adjustment can achieve dynamic matching between frame length adjustment and link load. The preset time stamp analysis time represents the preset time period corresponding to the interactive time stamp reliability analysis. When the interactive time stamp reliability value is detected to meet the interactive time stamp reliability conditions, the secondary delay fluctuation optimization is stopped, and the oscillation trend distortion is judged. When the number of secondary delay fluctuation optimizations (reducing the broadband measurement data transmission frame length once is counted as one) reaches the preset maximum number of secondary delay fluctuation optimizations, if the interactive time stamp reliability value still does not meet the interactive time stamp reliability conditions, a secondary delay fluctuation optimization alarm is sent.

[0046] Specifically, the time-stamp synchronization optimization process is as follows: Time-stamp synchronization optimization improves the synchronization accuracy, stability, and convergence speed of the slave clock by exchanging synchronization messages more frequently. Specifically, within a message transmission interval range (pre-set by personnel and including the upper and lower limits of this range), the PTP message transmission interval is gradually reduced based on the magnitude corresponding to the PTP message transmission interval adjustment value. The message transmission interval determines the time-stamp synchronization frequency; the smaller the interval, the more frequent the synchronization, and the smaller the time-stamp deviation. This helps ensure that PTP message transmission and broadband measurement data transmission do not interfere with each other, guaranteeing the overall link transmission stability, and thus... To achieve a gradual improvement in the time synchronization accuracy between the photovoltaic power station and the dispatch master station and to balance the link load; within a preset range of time synchronization optimization times (reducing the PTP message sending interval once is counted as one time), when the reacquired interactive time stamp reliability value is detected to meet the interactive time stamp reliability conditions, time synchronization optimization is stopped and an oscillation trend distortion judgment is performed; otherwise, a time synchronization optimization alarm is sent; the PTP message sending interval adjustment value is obtained by inputting the interactive time stamp reliability data and the number of messages corresponding to the broadband measurement data monitored by the timer into a preset PTP message sending interval query table.

[0047] In this embodiment, when the quantized value of delay fluctuation reacquired after primary delay fluctuation optimization is not greater than the preset quantized value of delay fluctuation, interactive timescale reliability analysis is performed. This helps to ensure the effectiveness and improve the accuracy of interactive timescale reliability analysis. The interrelation between primary delay fluctuation optimization and interactive timescale reliability analysis helps to achieve closed-loop verification and problem tracing of transmission stability and timescale reliability. On the one hand, primary delay fluctuation optimization provides a "stable transmission foundation" for interactive timescale analysis (e.g., fluctuation meets the standard to ensure that timescale deviation is not caused by transmission). On the other hand, the results of interactive timescale analysis can verify the effectiveness of primary optimization. By performing secondary delay fluctuation optimization when the delay fluctuation factor obtained from interactive timescale reliability analysis is greater than the timescale synchronization factor, and vice versa, timescale synchronization optimization is performed. This helps to accurately locate and target the root cause of timescale unreliability, ensuring that broadband data has a precise and unified time base, and providing accurate data support for the oscillation trend determination of the scheduling master station.

[0048] Further, the specific process for determining oscillation trend distortion is as follows: Based on the maximum and minimum values ​​of the broadband oscillation amplitude corresponding to the broadband measurement data, an oscillation stability value is obtained to reflect the degree of non-compliance of the oscillation stability of the broadband measurement data received by the dispatch master station; the difference between the maximum and minimum values ​​of the broadband oscillation amplitude corresponding to the broadband measurement data monitored by the PMU represents the oscillation stability value; based on the oscillation stability value and the preset oscillation stability value, a determination is made to reflect the degree of difference in the oscillation stability of the broadband measurement data: if the oscillation stability value is not greater than the preset oscillation stability value, the broadband measurement data received by the corresponding dispatch master station is marked as qualified broadband measurement data, and dispatch command control is performed simultaneously; otherwise, a transmission maintenance prompt is sent to the preset personnel; the dispatch command control means that a dispatch command (such as a damping control command) corresponding to the qualified broadband measurement data is generated based on a preset advanced algorithm (such as a subsynchronous oscillation suppression algorithm) and sent to the photovoltaic power station, wherein the preset oscillation stability value is represented by the average value of the oscillation stability value over a historical time period.

[0049] like Figure 4The diagram shows a schematic of a real-time data interaction system based on a phasor measurement device provided in this application embodiment. This system, employing a real-time data interaction method based on a phasor measurement device, includes: a dedicated communication link monitoring module, a delay fluctuation monitoring module, and an interactive timescale monitoring module. The dedicated communication link monitoring module performs dedicated communication link transmission analysis during the real-time data interaction process to obtain analysis results for evaluating the transmission qualification of the communication link. Based on the analysis results, it determines whether to perform aggregation-preprocessing analysis to evaluate the communication status during the transmission of broadband measurement data to the scheduling master station. The delay fluctuation monitoring module evaluates the delay fluctuation of broadband measurement data after aggregation-preprocessing analysis. Based on the evaluation results, it determines whether to perform primary delay fluctuation optimization to reduce the data packet occupancy time of broadband measurement data and ensure accurate timescale alignment. The interactive timescale monitoring module performs interactive timescale reliability analysis directly to determine whether to perform oscillation trend distortion determination if primary delay fluctuation optimization is not performed; otherwise, it performs interactive timescale reliability analysis after primary delay fluctuation optimization.

[0050] In this embodiment, if the oscillation stability value is greater than the preset oscillation stability value, it means that the current grid oscillation state is within a safe range. The broadband measurement data received by the corresponding dispatch master station is marked as qualified broadband measurement data, and dispatch command control is performed. Conversely, maintenance is performed (such as replacing faulty equipment and recalibrating the PTP time scale). This helps to realize the data verification, dynamic control, and fault closed-loop management of the grid oscillation state, and ensures the safety and stability of the grid operation after photovoltaic grid connection.

[0051] like Figure 5 The image shown is an interface of a power system operation and maintenance platform based on a real-time data interaction method using a phasor measurement device, provided in an embodiment of this application. Figure 1 ,like Figure 6 The image shown is an interface of a power system operation and maintenance platform based on a real-time data interaction method using a phasor measurement device, provided in an embodiment of this application. Figure 2 ,like Figure 7 The image shown is an interface of a power system operation and maintenance platform based on a real-time data interaction method using a phasor measurement device, provided in an embodiment of this application. Figure 3 ;Depend on Figures 5-7 As can be seen, the navigation bar of the power system operation and maintenance platform provided in this application includes Homepage, Data Acquisition and Monitoring, Equipment Management, Risk Assessment, Transmission Supervision, and Platform Management; when the homepage detects an emergency warning at a certain site (Jiahuashan Station), the power system operation and maintenance platform interface will trigger an emergency warning. Figure 3 The provided functionality allows for interactive time-stamp optimization (adjusting the PTP message sending interval).

[0052] In summary, the first step is to conduct dedicated communication link transmission analysis to obtain the results. Based on these results, it is determined whether to perform aggregation-preprocessing analysis. This helps to pre-screen basic risks in the communication link and accurately allocate resources for subsequent analysis. After the aggregation-preprocessing analysis, the latency fluctuation of broadband measurement data is evaluated. Based on the evaluation results, it is determined whether to perform primary latency fluctuation optimization. This helps to achieve timeliness control and initial problem repair in the broadband measurement data transmission process, reduce invalid data transmission, and improve the utilization rate of communication link resources. If primary latency fluctuation optimization is not performed, interactive timescale reliability analysis is directly performed to determine whether to determine oscillation trend distortion. Conversely, if primary latency fluctuation optimization is performed, interactive timescale reliability analysis is performed after the primary latency fluctuation optimization is completed. This helps to ensure the accuracy of broadband data application layer and prevent power grid transient risks. In turn, it helps to improve the timeliness, security, and timescale consistency of real-time data interaction between photovoltaic power plants and dispatching master stations, solving the problems of large transmission latency, low security, and inconsistent timescales in existing technologies.

[0053] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A real-time data interaction method based on a phasor measurement device, characterized in that, The method includes: During the real-time data interaction of the phasor measurement device, a dedicated communication link transmission analysis is performed to obtain analysis results for evaluating the transmission qualification of the communication link. Based on the analysis results, it is determined whether to perform aggregation-preprocessing analysis to evaluate the communication status during the transmission of broadband measurement data to the scheduling master station. After the aggregation-preprocessing analysis is completed, the latency fluctuation of the broadband measurement data is evaluated. Based on the evaluation results, it is determined whether to perform primary latency fluctuation optimization to reduce the link time occupied by broadband measurement data packets. If primary delay fluctuation optimization is not performed, interactive timescale reliability analysis is performed directly to determine whether oscillation trend distortion determination is required. Otherwise, interactive timescale reliability analysis is performed after primary delay fluctuation optimization is completed. The interactive timescale reliability analysis is used to evaluate the timescale situation when the photovoltaic power station and the dispatch master station exchange broadband measurement data. The oscillation trend distortion determination is used to evaluate the oscillation situation of the broadband measurement data received by the dispatch master station.

2. The real-time data interaction method based on a phasor measurement device according to claim 1, characterized in that, The dedicated communication link transmission analysis includes transmission slice isolation analysis and aggregation-preprocessing analysis; The transmission slice isolation analysis is used to ensure the independence of the communication link, specifically as follows: if the relative bandwidth of the collected phasor measurement data is greater than the preset relative bandwidth, the corresponding phasor measurement data is marked as broadband measurement data; otherwise, the corresponding phasor measurement data is marked as non-broadband measurement data. Based on the 5G slicing method, the marked broadband measurement data is sliced ​​and then aggregated and preprocessed for analysis. The specific process of the polymerization-preprocessing analysis is as follows: Based on the capture frequency of the broadband signal corresponding to the broadband measurement data and the preset broadband signal capture frequency, the aggregation-preprocessing analysis value is obtained to evaluate the non-compliance of the broadband measurement data aggregation and preprocessing process; The aggregated-preprocessed analysis values ​​and the preset aggregated-preprocessed analysis values ​​are evaluated to reflect the degree of deviation between the broadband measurement data aggregation and preprocessing process. If the aggregated-preprocessing analysis value is not greater than the preset aggregated-preprocessing analysis value, a delay fluctuation analysis is performed to evaluate the delay fluctuation during the transmission of broadband measurement data to the scheduling master station; otherwise, dynamic adjustment of edge nodes is performed. The dynamic adjustment of edge nodes means reducing the overall communication load by reducing the load on individual nodes.

3. The real-time data interaction method based on a phasor measurement device according to claim 2, characterized in that, The specific process of dynamically adjusting the edge nodes is as follows: During the next preset preprocessing analysis period, the aggregated preprocessing analysis value and the amount of transmitted broadband measurement data are input into the preset neural network model to obtain the predicted edge node adjustment value; Based on the initial number of edge nodes, the number of edge nodes on the photovoltaic power station side is gradually increased until the predicted edge node adjustment value is reached. When the number of edge nodes on the photovoltaic power station side reaches the predicted edge node adjustment value, the aggregation-preprocessing analysis value is reacquired. When the aggregation-preprocessing analysis value is not greater than the preset aggregation-preprocessing analysis value, the dynamic adjustment of edge nodes is stopped and delay fluctuation analysis is performed. Otherwise, an edge node dynamic adjustment anomaly prompt is sent and an edge node dynamic adjustment anomaly judgment is performed. The specific process for determining anomalies in the dynamic adjustment of edge nodes is as follows: Based on the dynamic adjustment of the initial and final states of the photovoltaic power station's communication load at the edge nodes, the communication load change value is obtained to evaluate the degree of qualification of the communication load reduction during the dynamic adjustment of the edge nodes. If the change in communication load is greater than the preset change in communication load, a maintenance reminder for the photovoltaic power station is sent to the preset personnel; otherwise, aggregation-preprocessing optimization is performed to improve the consistency of time stamp alignment of broadband measurement data. The aggregation-preprocessing optimization means that within the aggregation time window, the aggregation time window is gradually increased based on the magnitude of the queried aggregation time window adjustment value. Within a preset range of aggregation-preprocessing optimization times, when it is detected that the re-acquired aggregation-preprocessing analysis value is not greater than the preset aggregation-preprocessing analysis value and the communication load change value is greater than the preset communication load change value, aggregation-preprocessing optimization is stopped and latency fluctuation analysis is performed; otherwise, an aggregation-preprocessing optimization anomaly prompt is sent.

4. The real-time data interaction method based on a phasor measurement device according to claim 3, characterized in that, The specific process of the delay fluctuation analysis is as follows: Obtain a quantified value of delay fluctuation to reflect the impact of the degree of nonconformity in the aggregation-preprocessing analysis on the delay fluctuation of broadband measurement data; If the quantized value of delay fluctuation is not greater than the preset quantized value of delay fluctuation, perform interactive timescale reliability analysis. Otherwise, the corresponding delay fluctuation quantization value is marked as the delay fluctuation quantization value to be optimized, and transmission bandwidth is allocated to determine the priority of primary delay fluctuation optimization for broadband measurement data; The specific process of allocating transmission bandwidth is as follows: The quantized value of the delay fluctuation to be optimized is input into the preset bandwidth allocation mapping set to allocate transmission bandwidth to the corresponding broadband measurement data; Based on the allocated transmission bandwidth, a primary delay fluctuation optimization priority is set to obtain a transmission bandwidth sequence, wherein the transmission bandwidth corresponding to the transmission bandwidth sequence decreases step by step in descending order; Primary delay fluctuation optimization is performed on broadband measurement data in descending order of priority corresponding to the transmission bandwidth sequence.

5. The real-time data interaction method based on a phasor measurement device according to claim 4, characterized in that, The transmission bandwidth allocation means setting a primary delay fluctuation optimization priority based on the acquired first queuing model, and then obtaining the transmission bandwidth sequence after the setting is completed; The first queuing model is used to reflect the impact of the latency of broadband measurement data on the priority of primary latency fluctuation optimization under the condition that latency is intolerable.

6. The real-time data interaction method based on a phasor measurement device according to claim 4, characterized in that, The transmission bandwidth allocation means setting a primary delay fluctuation optimization priority based on the acquired second queuing model, and obtaining a transmission bandwidth sequence after setting the primary delay fluctuation optimization priority; The second queuing model is used to reflect the impact of the latency of broadband measurement data on the priority of primary latency fluctuation optimization under the condition that latency is tolerable.

7. A real-time data interaction method based on a phasor measurement device according to claim 4, 5, or 6, characterized in that, The primary delay fluctuation optimization means that within the primary transmission frame length adjustment range, the broadband measurement data corresponding to the delay fluctuation quantization value to be optimized is retransmitted, and the broadband measurement data transmission frame length is gradually reduced based on the amplitude corresponding to the primary transmission frame length adjustment value of the broadband measurement data in the next preset delay fluctuation analysis time period. Within the preset range of the number of primary delay fluctuation optimizations, when the reacquired delay fluctuation quantization value is not greater than the preset delay fluctuation quantization value, the primary delay fluctuation optimization is stopped and the interactive time stamp reliability analysis is performed; otherwise, a primary delay fluctuation optimization alarm is sent. The primary transmission frame length adjustment value of the broadband measurement data is obtained by inputting the delay fluctuation quantization value and the transmission frequency of the broadband measurement data into a preset broadband measurement data transmission frame length query set to query the corresponding primary transmission frame length adjustment value of the broadband measurement data.

8. A real-time data interaction method based on a phasor measurement device according to claim 7, characterized in that, The specific process of the interactive timescale reliability analysis is as follows: The reliable value of the interaction time stamp is obtained and compared with the reliable condition of the interaction time stamp. The reliable value of the interaction time stamp is used to reflect the time stamp qualification status when the photovoltaic power station and the dispatch master station exchange broadband measurement data. If the reliable value of the interactive timescale meets the reliable conditions of the interactive timescale, an oscillation trend distortion judgment is performed; otherwise, a timescale synchronization mapping query is performed to reflect the degree of influence of the reliability data of the interactive timescale on the qualification of the interactive timescale reliability analysis. The interactive timescale reliability data includes qualified delay fluctuation quantification value and interactive timescale reliability value, which reflect the qualification level of delay fluctuation analysis. The interaction timescale reliability condition indicates that the interaction timescale reliability value is greater than the preset interaction timescale reliability value; The timescale synchronization mapping query means inputting the interactive timescale reliability data into a preset timescale synchronization impact query table to obtain the delay fluctuation factor and the timescale synchronization factor. If the delay fluctuation factor is greater than the timescale synchronization factor, then a second-level delay fluctuation optimization is performed to reduce the possibility of distortion of high-precision timescales during transmission; otherwise, timescale synchronization optimization is performed. The qualified delay fluctuation quantization value is represented by a delay fluctuation quantization value that is not greater than the preset delay fluctuation quantization value; The secondary delay fluctuation optimization is used to reduce the probability of distortion of high-precision time stamps during transmission, based on the completion of the primary delay fluctuation optimization. Specifically, it is as follows: Within the range of the second-level transmission frame length adjustment for the next preset time-stamped analysis period, the transmission frequencies of the interactive time-stamped reliability data and broadband measurement data are input into the preset second-level broadband measurement data transmission frame length query set to query the corresponding second-level transmission frame length adjustment value for broadband measurement data; The amplitude corresponding to the secondary transmission frame length adjustment value of broadband measurement data is used as the adjustment step size to gradually reduce the broadband measurement data transmission frame length. When the reliable value of the interaction time stamp is detected to meet the reliability condition of the interaction time stamp, the second-level delay fluctuation optimization is stopped, and the oscillation trend distortion is judged. When the number of second-level delay fluctuation optimizations reaches the preset maximum number of second-level delay fluctuation optimizations, if the reliability value of the interaction time stamp still does not meet the reliability condition of the interaction time stamp, a second-level delay fluctuation optimization alarm will be sent. The time stamp synchronization optimization is used to improve the synchronization accuracy, stability and convergence speed of the slave clock. Specifically, within the message transmission interval range, the PTP message transmission interval is gradually reduced based on the magnitude corresponding to the PTP message transmission interval adjustment value. Within the preset range of the number of time stamp synchronization optimizations, when the re-acquired interactive time stamp reliability value is detected to meet the interactive time stamp reliability condition, the time stamp synchronization optimization is stopped and the oscillation trend distortion is judged. Otherwise, a time stamp synchronization optimization alarm is sent. The PTP message transmission interval adjustment value is obtained by querying the preset PTP message transmission interval query table by inputting the number of messages corresponding to the interactive time stamp reliability data and broadband measurement data.

9. A real-time data interaction method based on a phasor measurement device according to claim 8, characterized in that, The specific process for determining the oscillation trend distortion is as follows: Based on the maximum and minimum values ​​of the broadband oscillation amplitude corresponding to the broadband measurement data, obtain the oscillation stability value to reflect the degree of non-compliance of the oscillation stability of the broadband measurement data received by the dispatch master station; If the oscillation stability value is not greater than the preset oscillation stability value, the broadband measurement data received by the corresponding dispatch master station will be marked as qualified broadband measurement data and dispatch command control will be performed at the same time; otherwise, a transmission maintenance prompt will be sent to the preset personnel. The scheduling instruction control means that a scheduling instruction corresponding to qualified broadband measurement data is generated based on a preset advanced algorithm and then sent to the photovoltaic power station.

10. A real-time data interaction system based on a phasor measurement device, employing the real-time data interaction method based on a phasor measurement device as described in any one of claims 1-9, characterized in that, include: Dedicated communication link monitoring module, delay fluctuation monitoring module, and interactive time stamp monitoring module; The dedicated communication link monitoring module is used to perform dedicated communication link transmission analysis during the real-time data interaction of the phasor measurement device to obtain analysis results for evaluating the transmission qualification of the communication link, and to determine whether to perform aggregation-preprocessing analysis based on the analysis results to evaluate the communication status during the transmission of broadband measurement data to the scheduling master station. The latency fluctuation monitoring module is used to evaluate the latency fluctuation of broadband measurement data after the aggregation-preprocessing analysis is completed, and to determine whether to perform primary latency fluctuation optimization based on the evaluation results, thereby reducing the link time occupied by broadband measurement data packets. The interactive timescale monitoring module is used to directly perform interactive timescale reliability analysis to determine whether to perform oscillation trend distortion judgment if primary delay fluctuation optimization is not performed; otherwise, interactive timescale reliability analysis is performed after primary delay fluctuation optimization is completed.

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