Power equipment monitoring data transmission system based on congestion control

Abstract

The invention is suitable for the technical field of intelligent power distribution networks, and provides a power equipment monitoring data transmission system based on congestion control, and the system comprises a power equipment state monitoring unit, an intelligent power distribution terminal, a communication gateway, a power distribution scheduling master station, and a power distribution switch. The power equipment state monitoring unit is used for sending the collected monitoring data of the power equipment to the intelligent power distribution terminal; a programmable congestion control module is integrated in the communication gateway and is used for regulating and controlling the network transmission process of a monitoring data message; the power distribution dispatching master station is used for receiving and processing the monitoring data transmitted by the communication gateway, generating a control instruction aiming at the operation of the power equipment and issuing the control instruction to the intelligent power distribution terminal; the intelligent power distribution terminal is used for driving the power distribution switch to execute switching-on and switching-off operation according to the response data. Through cooperative work of a plurality of modules, the power grid operation state evaluation accuracy and the power distribution control timeliness are improved, the power grid fault risk is reduced, and powerful data support is provided for intelligent power grid operation.

Description

Technical Field

[0001] This invention relates to the field of intelligent power distribution network technology, and in particular to a power equipment monitoring data transmission system based on congestion control. Background Technology

[0002] The safe and stable operation of the power system depends on the real-time and reliable transmission of power equipment monitoring data. With the advancement of smart grid construction, power equipment monitoring data is characterized by large volume, multi-source structure, and high-concurrency transmission. In particular, fault alarm data needs to be delivered to the distribution dispatch center with millisecond-level transmission time to support critical operations such as rapid fault isolation and the opening and closing of distribution switches, thereby ensuring the reliability of power supply and power quality of the power grid.

[0003] In actual operation, when power equipment fails, the amount of monitoring data can surge suddenly, which can easily lead to congestion in the transmission link. This can cause significant transmission delays or even packet loss for high-priority fault data, and also crowd out the transmission bandwidth of regular operation data. Currently, the traditional Transmission Control Protocol (TCP) is used to address these issues. However, existing congestion control algorithms do not consider the cyclical characteristics and priorities of power services. Sudden traffic can easily cause network oscillations, resulting in jitter in the transmission delay of control commands. This leads to incomplete or untimely data received by the distribution dispatch center, causing deviations in the distribution control commands generated by the dispatch center. Consequently, the risk of power grid fault propagation and operational losses increase.

[0004] In view of this, a power equipment monitoring data transmission system based on congestion control is proposed. Summary of the Invention

[0005] This invention provides a power equipment monitoring data transmission system based on congestion control, which addresses the problems of increased risk of power grid fault propagation and operational losses.

[0006] This invention provides a power equipment monitoring data transmission system based on congestion control, comprising: Power equipment condition monitoring unit, intelligent power distribution terminal, communication gateway, power distribution dispatching master station, and power distribution switch; The output terminal of the power equipment status monitoring unit is connected to the first input terminal of the intelligent power distribution terminal. The power equipment status monitoring unit is used to send the collected monitoring data of the power equipment to the intelligent power distribution terminal. The first output terminal of the intelligent power distribution terminal is connected to the input terminal of the communication gateway; the output terminal of the communication gateway is connected to the input terminal of the power distribution dispatch master station via a network. The communication gateway integrates a programmable congestion control module; the programmable congestion control module is configured to: run an optimized congestion control algorithm based on the received congestion notification signal from the transmission link between the communication gateway and the power distribution dispatch master station, and generate a transmission rate control command for monitoring data packets to regulate the network transmission process of the monitoring data packets. The output terminal of the power distribution dispatch master station is connected to the second input terminal of the intelligent power distribution terminal via a network. The power distribution dispatch master station is used to receive and process the monitoring data transmitted by the communication gateway, generate control commands for the operation of power equipment through analysis and status evaluation of the monitoring data, and send response data containing the control commands to the intelligent power distribution terminal. The second output terminal of the intelligent power distribution terminal is connected to the control terminal of the power distribution switch, and the intelligent power distribution terminal is used to drive the power distribution switch to perform opening and closing operations according to the response data.

[0007] Furthermore, the congestion control algorithm, which is optimized based on the congestion notification signal received from the transmission link between the communication gateway and the power distribution dispatch master station, generates a transmission rate control command for monitoring data packets to regulate the network transmission process of the monitoring data packets, including: Based on the received congestion notification signal and the message transmission status of the monitoring data, determine whether to enter the rate boosting phase and calculate the available boosting times; If the number of available rate-up attempts is greater than zero, the rate-up strategy of the fast recovery phase and the active increase phase are executed sequentially to adjust the transmission rate of monitoring data packets to the power distribution dispatch master station.

[0008] Furthermore, the determination of whether to enter the rate-increase phase and the calculation of available rate-increase cycles includes: The programmable congestion control module is used to initialize the algorithm context parameters; Calculate the time difference between the current moment and the last speed-up moment, and combine it with the preset speed-up monitoring interval that matches the power business cycle to determine the number of available speed-up times; If the available number of speed-up attempts is zero, maintain the current transmission rate; otherwise, update the last speed-up time to the current time.

[0009] Furthermore, the rate-boosting strategy that sequentially executes the rapid recovery phase and the aggressive increase phase includes: If the available rate-up count is greater than zero, the current transmission rate maintained by the programmable congestion control module is less than the maximum allowed rate preset for the power monitoring data stream, and the number of consecutive fast recovery counts maintained by the programmable congestion control module has not reached the preset upper limit, then the following operations are performed: Increase the current transmission rate to half the sum of the current value and the target rate; Reduce the parameter values ​​related to congestion feedback in the programmable congestion control module; Increment the number of consecutive rapid recovery cycles by one, and decrement the number of available acceleration cycles by one.

[0010] Furthermore, the rate-boosting strategy of sequentially executing the rapid recovery phase and the aggressive increase phase also includes: If the available rate-up count is greater than zero, the current transmission rate is less than the maximum allowed rate, and the number of consecutive fast recovery counts is greater than or equal to the preset upper limit, then an aggressive rate-up operation is performed: Increase the current transmission rate by a fixed step; Decrease the number of available accelerations by one.

[0011] Furthermore, the power distribution dispatch master station is used to receive and process the monitoring data transmitted by the communication gateway, and to generate control commands for the operation of power equipment through analysis and status assessment of the monitoring data, including: Based on the received monitoring data, the power distribution dispatch master station calculates at least one characteristic quantitative indicator for evaluating the power grid operation status. The characteristic quantitative indicator includes, but is not limited to, the regional power supply stability index, the line load imbalance, and the probability of fault risk. The calculated feature quantification indicators are compared with a preset multi-level decision rule base, and control instructions for the operation of power equipment are generated based on the comparison results.

[0012] Furthermore, the rules in the multi-level decision rule base include: if the regional power supply stability index is lower than the first threshold, a distribution network reconfiguration instruction is generated; if the line load imbalance is higher than the second threshold and the duration exceeds a preset time window, a reactive power compensation switching instruction is generated.

[0013] Furthermore, the formula for calculating the regional power supply stability index is as follows: in: For the first Stability index of each power supply area This refers to the number of monitoring points within the power supply area. , The first in each power supply area The voltage and frequency values ​​reported by each monitoring point during the current cycle. , These are the rated voltage and rated frequency, respectively. , These are the weighting coefficients.

[0014] Furthermore, the formula for calculating the line load imbalance is as follows: in: For the first The three-phase load imbalance of the line. , , The lines are respectively , , Three-phase current measurements.

[0015] Furthermore, the formula for calculating the probability of failure risk is as follows: in: For the first The probability of failure of the equipment. The number of state parameters, For the first The first of the equipment The current values ​​of each state parameter. , The first The safe operating value and maximum permissible value of each status parameter. For the first The weights of each state parameter.

[0016] As can be seen from the above technical solutions, the present invention has the following advantages: This invention involves a power equipment status monitoring unit collecting monitoring data and sending it to a smart distribution terminal. The smart distribution terminal then transmits the data to a communication gateway integrating a programmable congestion control module. This module operates an optimized algorithm based on congestion notification signals, implementing strategies for a fast recovery phase and an aggressive increase phase. It regulates the transmission rate of monitoring data packets to the distribution dispatch master station, ensuring that critical data is transmitted reliably and with priority during network congestion. After receiving the data, the distribution dispatch master station calculates multiple characteristic quantification indicators, generates control commands, and sends them to the smart distribution terminal, which then drives the opening and closing of distribution switches. This invention optimizes the congestion control algorithm to meet the real-time and integrity requirements of power monitoring data transmission, enabling the distribution dispatch master station to obtain complete and accurate data. Simultaneously, the dispatch master station generates control commands based on multi-dimensional indicators and decision rules, improving the accuracy of grid operation status assessment and the timeliness of distribution control, effectively reducing grid fault risks and operational losses, and providing strong data support for the safe and stable operation of the smart grid. Attached Figure Description

[0017] Figure 1This is a structural block diagram of an embodiment of a power equipment monitoring data transmission system based on congestion control according to the present invention; Figure 2 This is a flowchart illustrating the execution of the congestion control algorithm in the programmable congestion control module 301 of this invention. Detailed Implementation

[0018] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “corresponding to,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0019] Example 1 Please see Figure 1 The power equipment monitoring data transmission system based on congestion control provided in this application includes the following: The system comprises a power equipment status monitoring unit 1, an intelligent power distribution terminal 2, a communication gateway 3, a power distribution dispatching master station 4, and a power distribution switch 5. The output of the power equipment status monitoring unit 1 is connected to the first input of the intelligent power distribution terminal 2, and the power equipment status monitoring unit 1 is used to send the collected monitoring data of the power equipment to the intelligent power distribution terminal 2. The first output of the intelligent power distribution terminal 2 is connected to the input of the communication gateway 3. The output of the communication gateway 3 is connected to the input of the power distribution dispatching master station 4 via a network. The communication gateway 3 integrates a programmable congestion control module 301. The programmable congestion control module 301 is configured to: based on the received data from the communication gateway and the power distribution dispatching master station... The congestion notification signal of the transmission link runs an optimized congestion control algorithm to generate a transmission rate control command for monitoring data packets, thereby regulating the network transmission process of the monitoring data packets. The output of the power distribution dispatch master station 4 is connected to the second input of the intelligent power distribution terminal 2 via the network. The power distribution dispatch master station 4 is used to receive and process the monitoring data transmitted by the communication gateway 3, generate control commands for the operation of power equipment through analysis and status evaluation of the monitoring data, and send response data containing the control commands to the intelligent power distribution terminal 2. The second output of the intelligent power distribution terminal 2 is connected to the control terminal of the power distribution switch 5. The intelligent power distribution terminal 2 is used to drive the power distribution switch 5 to perform opening and closing operations according to the response data.

[0020] It should be noted that the congestion notification signal is generated by network devices in the transmission link between the communication gateway and the distribution dispatch master station, or by the distribution dispatch master station itself, and is used to provide real-time feedback on the current congestion status of the link. When the link experiences bandwidth constraints due to a sudden surge in monitoring data, the network devices or the distribution dispatch master station send a congestion notification signal to the communication gateway through ECN explicit congestion notification or a similar feedback mechanism. Based on this signal, the programmable congestion control module, combined with the priority and transmission status of monitoring data packets, runs an optimized congestion control algorithm to dynamically adjust the packet transmission rate. In this way, the system ensures low-latency transmission of high-priority data in congested scenarios, realizing deterministic data transmission based on congestion control, thereby improving the timeliness and reliability of distribution network fault handling.

[0021] The principle of the system of the present invention will be described in detail below with specific scenario examples: Taking a scenario of rapid isolation of a short-circuit fault on a 10kV line in an urban power distribution network as an example: the fault current sensor and voltage sag monitoring device (power equipment status monitoring unit) on the line collect line current and voltage data in real time; when a single-phase short-circuit fault occurs due to external force damage to the line, the fault current sensor instantly detects a short-circuit current tens of times higher than the rated value and sends the fault monitoring data to the intelligent distribution terminal; the intelligent distribution terminal encapsulates the fault data into a high-priority monitoring data message and transmits it to the communication gateway.

[0022] At this time, the programmable congestion control module of the communication gateway receives a link congestion notification signal. This link congestion notification signal is fed back from the transmission link between the gateway and the power distribution dispatch master station. Due to the sudden data failure causing bandwidth constraints, the module immediately runs an optimization algorithm: First, initialize the algorithm context parameters, including the minimum transmission rate of the preset fault data, the speed-up monitoring interval, etc., and calculate the number of available speed-up times for the fault data (since the fault is a sudden emergency, the speed-up conditions are met). Then, execute the rate-up strategy in the fast recovery and aggressive increase phases in sequence: in the fast recovery phase, adjust the fault message sending rate to half of the sum of the current rate and the target rate (to ensure the millisecond-level reception rate of the dispatch master station). In the aggressive increase phase, add a fixed step size to the rate to ensure that the fault message is transmitted to the distribution dispatch master station with the highest priority and the lowest delay.

[0023] After receiving the non-congestion fault monitoring data, the power distribution dispatch master station analyzes and calculates the probability of line fault risk. It finds that the probability of risk is far beyond the safety threshold, generates and issues a control command to drive the power distribution switch of the faulty section to trip. After receiving the response data, the intelligent power distribution terminal quickly drives the corresponding power distribution switch to trip, successfully isolating the short-circuit fault and preventing the fault from spreading to the entire line.

[0024] The system of this invention ensures deterministic transmission of power monitoring commands in complex network environments through coordinated optimization of communication and control, effectively improving the timeliness and reliability of power distribution network fault handling.

[0025] Example 2 Please see Figure 2 This embodiment describes in detail the execution logic of the congestion control algorithm in the programmable congestion control module 301, in conjunction with the execution flowchart: 1. Based on the received congestion notification signal and the message transmission status of the monitoring data, determine whether to enter the rate boosting phase and calculate the available boosting times; 2. If the number of available rate-up times is greater than zero, the rate-up strategy of the fast recovery phase and the active increase phase are executed sequentially to adjust the transmission rate of monitoring data messages to the power distribution dispatch master station.

[0026] Specifically, the programmable congestion control module receives two types of inputs in real time: one is a congestion notification signal, which comes from the transmission link between the communication gateway and the power distribution dispatch master station. It is fed back by the network equipment in the link or the power distribution dispatch master station, reflecting the current level of congestion of the link; the other is the monitoring data message transmission status, which includes the current transmission rate of the message, the amount of data sent, and the priority identifier preset based on the power data type (fault alarm, normal operation data). High-priority data must be guaranteed to be transmitted first.

[0027] The programmable congestion control module performs the following operations: 1. The programmable congestion control module is used to initialize the algorithm context parameters; This section pre-sets three key parameters to meet the needs of power scenarios: maximum allowable rate, maximum number of consecutive fast recovery cycles, and speed-up monitoring interval. The maximum allowable rate is set based on the real-time requirements of the distribution dispatch master station for power data. For example, if fault alarm data needs to be transmitted to the master station within 50ms, the maximum allowable rate is calculated to be 100Mbps. The maximum number of consecutive fast recovery cycles is set to 3 to avoid excessive speed-up causing new congestion and to ensure transmission stability. The speed-up monitoring interval matches the power business cycle. For example, if the distribution network has a 5-minute operation monitoring cycle, it is set to 100ms to ensure accurate control of rate adjustment within the power business time scale.

[0028] 2. Calculate the time difference between the current moment and the last speed-up moment, and combine it with the preset speed-up monitoring interval that matches the power business cycle to determine the number of available speed-up times; Calculate the time difference between the current moment and the last acceleration moment, compare this difference with the acceleration monitoring interval, and determine the number of accelerations available this time. For example, if the time difference is 200ms and the acceleration monitoring interval is 100ms, then the number of accelerations available is 2.

[0029] 3. If the number of available speed-up times is zero, maintain the current transmission rate; otherwise, update the last speed-up time to the current time.

[0030] If the available speed-up times are 0, maintain the current transmission rate and the process ends; if the available speed-up times are > 0, update the last speed-up time to the current time and proceed to the subsequent rate-up process.

[0031] 4. If the available number of speed-up attempts is greater than zero, the current transmission rate maintained by the programmable congestion control module is less than the maximum allowed rate preset for the power monitoring data stream, and the number of consecutive fast recovery attempts maintained by the programmable congestion control module has not reached the preset upper limit, then the following operations will be performed: Increase the current transmission rate to half the sum of the current value and the target rate; Reduce the parameter values ​​related to congestion feedback in the programmable congestion control module; Increment the number of consecutive fast recovery attempts by one, and decrement the number of available speed-up attempts by one.

[0032] Specifically, when the number of available speed-up attempts > 0, the module checks two conditions: Condition 1: Current transmission rate < maximum allowed rate; Condition 2: Number of consecutive fast recovery attempts < preset upper limit (3 times). If both conditions are met simultaneously, a fast recovery operation is performed: Rate adjustment: The current transmission rate is increased to half the sum of the current rate and the target rate to quickly approach the target. Here, the target rate meets the ideal rate for the real-time performance of the power distribution master station, such as 100Mbps; Parameter optimization: The values ​​of congestion feedback-related parameters are reduced, such as reducing the congestion window adjustment step size coefficient, to avoid excessive rate fluctuations and adapt to the stability requirements of power data transmission; Number update: The number of consecutive fast recovery attempts is increased by 1 (from 0 to 1), and the number of available speed-up attempts is decreased by 1 (from 2 to 1).

[0033] 5. If the available number of speed-up attempts is greater than zero, the current transmission rate is less than the maximum allowed rate, and the number of consecutive fast recovery attempts is greater than or equal to the preset upper limit, then an aggressive speed-up operation is performed: Increase the current transmission rate by a fixed step; Decrease the number of available boosts by one.

[0034] Specifically, after completing the fast recovery, the module checks two conditions again: Condition 1: Current transmission rate < maximum allowed rate; Condition 2: Number of consecutive fast recovery attempts ≥ preset upper limit (3 attempts already reached). If satisfied, it performs an aggressive speed-up operation: Rate adjustment: The current transmission rate is directly increased by a fixed step, set according to the power transmission bandwidth margin and stability, such as increasing by 10Mbps each time; Number of attempts update: The number of available speed-up attempts is reduced by 1 (from 1 to 0).

[0035] Finally, the programmable congestion control module generates transmission rate control instructions according to the above process, dynamically regulating the transmission process of monitoring data packets to the power distribution dispatch master station, ensuring low-latency transmission of high-priority power data while avoiding link congestion.

[0036] Example 3 The power distribution dispatch master station 4 is used to receive and process monitoring data transmitted by the communication gateway, and to generate control commands for the operation of power equipment through analysis and status assessment of the monitoring data, including the following: 1. Based on the received monitoring data, the power distribution dispatch master station calculates at least one characteristic quantitative indicator for evaluating the power grid operation status. The characteristic quantitative indicator includes, but is not limited to, the regional power supply stability index, the line load imbalance, and the probability of fault risk. The distribution dispatch master station first calculates at least one characteristic quantitative indicator for assessing the power grid's operating status, such as the regional power supply stability index, line load imbalance, and fault risk probability, based on the received monitoring data transmitted without congestion through the communication gateway. During power system operation, regional power supply stability determines the continuity and power quality of power supply to users. For example, voltage drops and frequency fluctuations can lead to failures in precision equipment and interruptions in industrial production; line load imbalance can easily cause overheating, insulation aging, or even burnout of three-phase equipment, significantly shortening equipment lifespan; and equipment fault risk is related to early warning and proactive defense against power grid faults, preventing faults from escalating into large-scale power outages.

[0037] The formula for calculating the regional power supply stability index is: in: For the first Stability index of each power supply area This refers to the number of monitoring points within the power supply area. , The first in each power supply area The voltage and frequency values ​​reported by each monitoring point during the current cycle. , These are the rated voltage and rated frequency, respectively. , These are weighting coefficients, used to adjust the importance of voltage and frequency in stability assessment.

[0038] The formula for calculating line load imbalance is: in: For the first The three-phase load imbalance of the line; the larger the value, the more severe the imbalance. , , The lines are respectively , , Three-phase current measurements.

[0039] The formula for calculating the probability of failure risk is: in: For the first The higher the value, the greater the risk of equipment failure. The number of state parameters, For the first The first of the equipment The current values ​​of each state parameter. , The first The safe operating value and maximum permissible value of each status parameter. For the first The weights of each state parameter.

[0040] 2. The calculated feature quantification indicators are compared with the preset multi-level decision rule base, and control instructions for the operation of power equipment are generated based on the comparison results.

[0041] Among them, the rules in the multi-level decision rule base include: if the regional power supply stability index is lower than the first threshold, a distribution network reconfiguration instruction is generated; if the line load imbalance is higher than the second threshold and the duration exceeds the preset time window, a reactive power compensation switching instruction is generated.

[0042] Specifically, the first threshold (regional power supply stability index threshold) is a statistical analysis of numerous stable distribution network operation cases and pre-fault critical state cases: when When the value is less than 0.8, the voltage and frequency fluctuations in the area are approaching the critical range that would affect users' normal power consumption, requiring rapid restoration of power supply stability through distribution network reconfiguration (such as adjusting tie switches and switching distributed power sources); the second threshold (line load imbalance threshold) is set based on load balancing experience for the safe operation of three-phase equipment, combined with parameters such as line current carrying capacity and equipment insulation level; when When the three-phase load difference is greater than 0.3 and lasts for more than 10 minutes (a preset time window used to distinguish between short-term load fluctuations and long-term imbalances), the three-phase load difference has reached the risk level of causing equipment overheating, and the three-phase current needs to be balanced by switching on and off the reactive power compensation switch.

[0043] During the specific comparison, the power distribution dispatch master station first calculates... , , Each indicator is matched against the threshold values ​​(first threshold, second threshold, and fault risk probability warning threshold, etc.) in the rule base. Then, based on the multi-indicator combination triggering logic, the corresponding control strategy is retrieved from the rule base. For example, when both low regional power supply stability and line load imbalance are met, distribution network reconfiguration is prioritized and reactive power compensation is optimized. Finally, distribution network reconfiguration instructions, reactive power compensation switching instructions, equipment maintenance warning instructions, etc. are generated and sent to the smart distribution terminal.

[0044] The above embodiments solve the problems of traditional master station systems relying on human experience and having a delayed response. Through a data-driven approach, they achieve accurate assessment of power grid status and intelligent generation of control commands.

[0045] Those skilled in the art will recognize that the units of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of the invention.

[0046] In the embodiments provided by this invention, it should be understood that the division of units is merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units may be combined into one unit, one unit may be split into multiple units, or some features may be ignored. Furthermore, the functional units in the various embodiments of this invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The integrated unit described above can be implemented in hardware or as a software functional unit.

[0047] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0048] It is understood that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A congestion control based power equipment monitoring data transmission system characterized in that, The utility model relates to an electric power equipment state monitoring unit, an intelligent power distribution terminal, a communication gateway, a power distribution dispatching master station and a power distribution switch. The output end of the electric power equipment state monitoring unit is connected to the first input end of the intelligent power distribution terminal, and the electric power equipment state monitoring unit is used to send the collected monitoring data of the electric power equipment to the intelligent power distribution terminal. The first output end of the intelligent power distribution terminal is connected to the input end of the communication gateway, and the output end of the communication gateway is connected to the input end of the power distribution dispatching master station through a network. The programmable congestion control module integrated in the communication gateway is configured to run an optimized congestion control algorithm based on the received congestion notification signals from the transmission link between the communication gateway and the power distribution dispatching master station, generate sending rate control instructions for the monitoring data packets, and regulate the network transmission process of the monitoring data packets. The output end of the power distribution dispatching master station is connected to the second input end of the intelligent power distribution terminal through a network, and the power distribution dispatching master station is used to receive and process the monitoring data transmitted by the communication gateway, generate control instructions for the operation of the electric power equipment through the analysis and state evaluation of the monitoring data, and issue response data containing the control instructions to the intelligent power distribution terminal. The second output end of the intelligent power distribution terminal is connected to the control end of the power distribution switch, and the intelligent power distribution terminal is used to drive the power distribution switch to perform opening and closing operations according to the response data. The programmable congestion control module integrated in the communication gateway is configured to run an optimized congestion control algorithm based on the received congestion notification signals from the transmission link between the communication gateway and the power distribution dispatching master station, generate sending rate control instructions for the monitoring data packets, and regulate the network transmission process of the monitoring data packets.

2. The congestion control based power equipment monitoring data transmission system as claimed in claim 1 wherein, Based on the received congestion notification signals and the packet sending state of the monitoring data, it is determined whether to enter the rate increasing stage and calculate the available number of speed increases. If the available number of speed increases is greater than zero, the rate increasing strategies of the fast recovery stage and the aggressive increase stage are executed in sequence to adjust the sending rate of the monitoring data packets to the power distribution dispatching master station. The programmable congestion control module is used to initialize the algorithm context parameters.

3. The congestion control based power equipment monitoring data transmission system as claimed in claim 2, wherein, The determination of whether to enter the rate increasing stage and the calculation of the available number of speed increases include: The time difference between the current time and the last speed increase time is calculated, and the available number of speed increases is determined in combination with the preset speed increase monitoring interval matching the electric power service cycle. If the available number of speed increases is zero, the current sending rate is maintained; otherwise, the last speed increase time is updated to the current time. The programmable congestion control module is used to initialize the algorithm context parameters.

4. The congestion control based power equipment monitoring data transmission system as claimed in claim 3, wherein, If the available number of speed increases is greater than zero, the current sending rate maintained by the programmable congestion control module is less than the maximum allowed rate preset for the electric power monitoring data flow, and the continuous fast recovery number maintained by the programmable congestion control module does not reach the preset upper limit, the following operations are performed: The current sending rate is increased to half of the sum of the current value and the target rate; The parameter value related to congestion feedback in the programmable congestion control module is reduced; ​ The continuous fast recovery number is added by one, and the available speed-up number is reduced by one.

5. The congestion control based power equipment monitoring data transmission system as claimed in claim 4, wherein, The rate promotion strategy of sequentially executing the fast recovery phase and the aggressive increase phase further includes: If the available speed-up number is greater than zero, the current sending rate is less than the maximum allowed rate, and the continuous fast recovery number is greater than or equal to the preset upper limit, an aggressive increase speed-up operation is performed: The current sending rate is increased by a fixed step; The available speed-up number is reduced by one.

6. The congestion control based power equipment monitoring data transmission system as claimed in claim 1 wherein, The power distribution scheduling master station is configured to receive and process the monitoring data transmitted by the communication gateway, generate control instructions for the operation of the power equipment through analysis and state evaluation of the monitoring data, and includes: The power distribution scheduling master station calculates at least one characteristic quantization index for evaluating the operation state of the power grid based on the received monitoring data, and the characteristic quantization index includes but is not limited to a regional power supply stability index, a line load imbalance degree, and a fault risk probability. The calculated characteristic quantization index is compared with a preset multi-level decision rule library, and control instructions for the operation of the power equipment are generated according to the comparison result.

7. The congestion control based power equipment monitoring data transmission system as claimed in claim 6, wherein, The rules in the multi-level decision rule library include: if the regional power supply stability index is lower than a first threshold, a distribution network reconstruction instruction is generated; and if the line load imbalance degree is higher than a second threshold and the duration exceeds a preset time window, a reactive power compensation switching instruction is generated.

8. The congestion control based power equipment monitoring data transmission system as claimed in claim 6, wherein, The calculation formula of the regional power supply stability index is: wherein: is the stability index of the th power supply area, is the number of monitoring points in the power supply area, , are the voltage and frequency values reported by the th monitoring point in the power supply area in the current period, respectively, , are the rated voltage and rated frequency, respectively, , are the weight coefficients, respectively.

9. The congestion control based power equipment monitoring data transmission system as claimed in claim 6 wherein, The calculation formula of the line load imbalance degree is: wherein: is the unbalance degree of the three-phase load of the line, , , are the current measurements of the three phases, respectively. , , are the current measurements of the three phases, respectively.

10. The congestion control based power equipment monitoring data transmission system as claimed in claim 6, wherein, The calculation formula of the fault risk probability is: wherein: is the number of the first station device, is the number of the state parameters, is the number of the first station device, is the current value of the first , are the safe operating value and the maximum allowed value of the first state parameter, respectively, is the weight of the first state parameter.

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