Power distribution circuit self-resetting state control system based on thermal parameter feedback

Abstract

The present application relates to the technical field of power supply or distribution circuit device of power system, disclose a kind of distribution circuit self-reset state control system based on thermal parameter feedback, comprising: thermal parameter acquisition module, for obtaining the physical heat dissipation temperature sequence after the supply node is tripped;Historical load mapping module is used to calculate the transient temperature rise estimate according to the load characteristic data within 24 hours before tripping, generate the dynamic correction of heat dissipation slope determination boundary;Logic arbitration module is used to calculate the heat dissipation slope deviation of double window sampling sequence, and determine whether the deviation converges to the heat dissipation slope determination boundary updated according to dynamic correction;Operation execution module is used to drive distribution circuit closing reset, the present application is through the closed-loop arbitration mechanism of heat dissipation characteristic slope, identifies physical heat dissipation steady-state inflection point, eliminates the misoperation risk caused by environmental thermal resistance drift and closing inrush current impact, and guarantees power continuity.

Description

Technical Field

[0001] This invention belongs to the technical field of power supply or distribution circuit devices in power systems, and particularly relates to a self-reset state control system for distribution circuits based on thermal parameter feedback. Background Technology

[0002] Currently, in the power supply and distribution circuit devices of power systems, the state switching and recovery logic of distribution circuits is a core component to ensure the stability of system power distribution. When a circuit experiences a power outage due to fluctuations in operating conditions, how to achieve automatic reset at the system level and coordinated scheduling of load distribution states directly affects the overall scheduling efficiency and power supply continuity of the distribution network. Conventional solutions use fixed delays or preset temperature thresholds to determine the closing timing, which is difficult to adapt to the complex distribution topology requirements. The heat dissipation process of distribution circuits follows the heat conduction and convection dissipation mechanisms, and its heat dissipation rate is limited by the initial heat generated by the circuit contact resistance and the dissipation capacity of the distribution cabinet's heat dissipation environment. The physical thermal environment inside the electrical cabinet is non-stationary; the degree of blockage of the ventilation filter, changes in ambient humidity, and thermal interference from adjacent circuits cause shifts in thermal resistance during the heat dissipation process; control logic using static parameters cannot identify the actual temperature drop evolution characteristics of the physical entity, making it difficult to achieve accurate state management of the power distribution equipment in complex thermal environments, thus restricting the improvement of the automation level of the power distribution system; under conditions where the heat dissipation process is obstructed, judgment logic based on fixed timing or a single threshold is at risk of failure; if the circuit thermal stress is not fully released before the closing action is performed, the inrush current and residual temperature rise will superimpose to generate a secondary thermal shock, causing damage to the switch contacts.

[0003] Besides the limitations of physical heat dissipation structures, logic control and detection methods are insufficient for dynamic operating conditions. For example, Chinese invention patent CN115639441A discloses a method for detecting insulation faults in the power distribution circuit of a fire emergency lighting and evacuation guidance system. This method achieves automated fault determination by changing the circuit topology and combining resistance value analysis. However, at the self-reset decision level, it essentially relies on a static insulation resistance reference value or simple variation rate calculation, failing to address the physical essence of energy evolution during the heat dissipation process. Because it ignores the impact of thermal inertia caused by load fluctuations on the transient temperature rise during closing, and lacks dynamic compensation for external neighboring thermal field interference, it cannot accurately capture the true steady-state inflection point of the heat dissipation process, making it difficult to achieve adaptive matching between the reset command and the physical cooling process while ensuring physical safety. Existing technologies... The technology has the following drawbacks: 1. The reset criterion lacks phase synchronization with the heat dissipation process of the physical entity, resulting in physical damage caused by closing the circuit before the thermal stress is released; 2. The control parameters cannot sense the dynamic shift of the external environment's thermal resistance and lack logical stability to cope with complex operating conditions; 3. The single-dimensional judgment logic ignores the cumulative impact of thermal surplus caused by historical load on the temperature rise of subsequent reclosing. To address the above technical constraints, the industry has attempted to increase the safety margin by extending the fixed delay or lowering the closing temperature rise threshold, but such methods come at the cost of sacrificing the response efficiency of distribution automation and still cannot identify the actual heat dissipation convergence state inside the circuit in principle; the static redundancy setting cannot adapt to high-density load fluctuations, resulting in a decrease in the self-healing success rate of the system under extreme operating conditions.

[0004] Therefore, how to extract the dynamic characteristics of the heat dissipation process and achieve adaptive matching between the reset command and the physical cooling process is the technical problem to be solved by this invention. Summary of the Invention

[0005] This invention provides a self-reset state control system for power distribution circuits based on thermal parameter feedback. The system includes:

[0006] The thermal parameter acquisition module is used to acquire the temperature sequence of the physical heat dissipation process of the power supply node of the power distribution circuit after overload tripping in real time.

[0007] The historical load mapping module is used to extract load characteristic data of the distribution circuit within 24 hours before tripping, and calculate the estimated value of the instantaneous temperature rise increment during closing based on the load characteristic data, and generate the dynamic correction amount of the heat dissipation slope judgment boundary.

[0008] The logic arbitration module is connected to both the thermal parameter acquisition module and the historical load mapping module. It stores the baseline threshold for the heat dissipation slope determination boundary and includes a dual-window sampling unit and a convergence determination unit. The dual-window sampling unit defines synchronously sliding advance sampling windows and lag sampling windows in the temperature sequence of the physical heat dissipation process, and calculates the first transient heat dissipation slope of the advance sampling window and the second transient heat dissipation slope of the lag sampling window. The convergence determination unit receives dynamic correction values ​​and performs superposition compensation on the baseline threshold based on these values ​​to update the heat dissipation slope determination boundary. It then determines whether the relative deviation between the first and second transient heat dissipation slopes converges to the updated heat dissipation slope determination boundary.

[0009] The operation module is used to drive the power distribution circuit to perform a closing and reset action when the relative deviation converges to the boundary of the heat dissipation slope determination.

[0010] Preferably, the system further includes a neighborhood thermal field sensing module; the neighborhood thermal field sensing module is used to acquire real-time power consumption data of adjacent branches in the same physical power distribution space as the power distribution circuit, and generate a heat dissipation resistance weighting factor based on the real-time power consumption data; the logic arbitration module is also used to adjust the range of the reference threshold according to the heat dissipation resistance weighting factor in order to offset the physical heat dissipation delay caused by external thermal pressure.

[0011] Preferably, in the dual-window sampling unit, the sliding step size of the advance sampling window and the sliding step size of the lag sampling window are both 1s; the window length of the advance sampling window is less than the window length of the lag sampling window.

[0012] Preferably, the historical load mapping module is also used to construct a closing inrush current thermal-work offset model based on load characteristic data and the contact material thermal capacity parameters of the power supply node of the distribution circuit; the dynamic correction amount and the estimated value of the closing transient temperature rise increment are positively proportional.

[0013] Preferably, the mathematical logic expression for the convergence decision unit to make the decision is: ,in, The slope of heat dissipation in the first transient state. σ is the second transient heat dissipation slope, σ is the dimensionless natural noise reference value stored in the logic arbitration module, and Δδ is the dynamic correction amount generated by the historical load mapping module.

[0014] Preferably, the thermal parameter acquisition module includes multiple thin-film thermistor units distributed at the power supply nodes of the power distribution circuit; the thermal parameter acquisition module is also used to perform weighted average calculation on the raw signals fed back by the multiple thin-film thermistor units to generate a temperature sequence of the physical heat dissipation process.

[0015] Preferably, the neighborhood thermal field sensing module includes a topology-associated storage unit; the topology-associated storage unit is used to store the spatial thermal coupling coefficient between loops; the heat dissipation resistance weighting factor is the cumulative product of real-time power consumption data and spatial thermal coupling coefficient.

[0016] Preferably, the operation execution module includes an energy storage drive unit and a status feedback unit; the energy storage drive unit is used to receive the trigger command output by the logic arbitration module and execute the closing reset action; the status feedback unit is used to monitor the temperature rise rate of the power distribution circuit in real time after the closing reset action is executed, and to execute the circuit secondary trip when the temperature rise rate exceeds 0.5℃ / s.

[0017] Preferably, the logic arbitration module further includes a drift calibration unit; the drift calibration unit is used to acquire the ambient reference temperature and perform zero-point compensation on the thermal parameter acquisition module according to the ambient reference temperature.

[0018] Preferably, the system further includes a communication relay module; the communication relay module is used to upload the first transient heat dissipation slope, the second transient heat dissipation slope, and the trigger time stamp of the closing and reset action calculated by the logic arbitration module to the distribution automation dispatch master station.

[0019] Compared with existing technologies, the self-reset state control system for power distribution circuits based on thermal parameter feedback of this invention has the following advantages:

[0020] 1. In the self-reset state control of the power distribution circuit, by selecting a fast observation window and a slow reference window with different sampling step sizes, the instantaneous heat dissipation slope and trend heat dissipation slope during the heat dissipation process are extracted. The morphological dispersion of the two windows when they approach steady state is used as the reset criterion, eliminating the dependence of the power distribution circuit control logic on static empirical thresholds. Since the fast observation window is used to capture high-frequency thermal stress disturbances, while the slow reference window is used to fit the long-period dissipation fundamental frequency of the physical entity, when the morphological characteristics of the two enter the physical intersection range, the system can identify the true steady-state inflection point of the heat dissipation process in situ. This allows the reset action to adapt to the thermal resistance drift caused by the deterioration of the ventilation environment of the distribution cabinet or the aging of the contact connection parts, ensuring that the operating mechanism performs the closing action at the physical safety point where the thermal stress of the circuit is completely released, thereby improving the operational reliability of the power distribution circuit under varying operating conditions.

[0021] 2. By extracting load characteristics before tripping and predicting the instantaneous temperature rise increment during closing, the system establishes a dynamic correction mechanism for the heat dissipation slope judgment boundary, enabling the self-reset decision to have a forward-looking defense capability against inrush current impacts during closing. This method logically achieves energy offsetting between the heat dissipation rate during static cooling and the predicted instantaneous thermal shock during closing, requiring the heat dissipation process under high load historical background to enter a deeper convergence range. This collaborative logic based on historical load data to predict future physical impacts effectively avoids the risk of secondary tripping caused by temperature rise rebound at the reset critical point of the circuit, ensuring power supply continuity while extending the service life of switch contacts and insulation media.

[0022] 3. The system acquires the load status of neighboring loops as a weighting factor for heat dissipation resistance, constructs a thermal field sensing mechanism based on distribution topology association, and solves the problem of interference of local heat island effect in high-density distribution cabinets on reset criteria. This design elevates isolated node monitoring to overall operational status assessment of local distribution network topology. Through real-time sensing of the neighboring thermal field, intelligent dynamic adjustment of the power supply sequence of the distribution network is realized, optimizing the load distribution stability and self-healing efficiency of the distribution system under extreme conditions. When adjacent branches are in high-power operation, the system automatically compensates for dissipation delay caused by external thermal pressure suppression by adjusting the judgment weight of heat dissipation slope. This design elevates isolated loop thermal monitoring to collaborative system-level thermal field assessment, ensuring that in complex neighboring thermal field coupling environment, the reset decision can accurately reflect the real heat dissipation capacity of the physical entity, eliminating the risk of logic judgment failure caused by environmental thermal radiation, thereby constructing a highly stable power supply circuit device system adapted to high-density load distribution requirements. Attached Figure Description

[0023] Figure 1 This is a flowchart of the power distribution circuit self-reset control logic for the dual-window sampling and heat dissipation slope convergence criterion of the present invention.

[0024] Figure 2 This is a schematic diagram of the closed-loop feedback architecture of the system that spans the physical power supply domain and the self-reset control domain in this invention. Detailed Implementation

[0025] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0026] It should be noted that all directional and positional terms used in this invention, such as: up, down, left, right, front, back, vertical, horizontal, inner, outer, top, bottom, transverse, longitudinal, center, etc., are only used to explain the relative positional relationship and connection between components in a specific state (as shown in the accompanying drawings). They are only for the convenience of describing this invention and do not require that this invention be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention. In addition, the descriptions of "first," "second," etc., in this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated.

[0027] In the description of this invention, unless otherwise explicitly specified and limited, the terms installation, connection, and linking should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections; they can refer to direct connections or indirect connections through an intermediate medium; they can refer to the internal connection of two components. For those skilled in the art, the specific meaning of the above terms in this invention can be understood according to the specific circumstances.

[0028] In the description of this specification, references to the terms "an embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example, and the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0029] A self-reset state control system for power distribution circuits based on thermal parameter feedback, the system comprising:

[0030] The thermal parameter acquisition module is used to acquire the temperature sequence of the physical heat dissipation process of the power supply node of the power distribution circuit after overload tripping in real time.

[0031] The historical load mapping module is used to extract load characteristic data of the distribution circuit within 24 hours before tripping, and calculate the estimated value of the instantaneous temperature rise increment during closing based on the load characteristic data, and generate the dynamic correction amount of the heat dissipation slope judgment boundary.

[0032] The logic arbitration module is connected to the thermal parameter acquisition module and the historical load mapping module respectively. The logic arbitration module stores the benchmark threshold of the heat dissipation slope determination boundary and includes a dual-window sampling unit and a convergence determination unit.

[0033] The dual-window sampling unit is used to define synchronously sliding advance sampling windows and hysteresis sampling windows in the temperature sequence of the physical heat dissipation process, and to calculate the first transient heat dissipation slope of the advance sampling window and the second transient heat dissipation slope of the hysteresis sampling window.

[0034] The convergence determination unit is used to receive the dynamic correction amount and perform superimposed compensation on the reference threshold according to the dynamic correction amount to update the heat dissipation slope determination boundary, and determine whether the relative deviation between the first transient heat dissipation slope and the second transient heat dissipation slope converges to the updated heat dissipation slope determination boundary.

[0035] The operation module is used to drive the power distribution circuit to perform a closing and reset action when the relative deviation converges to the boundary of the heat dissipation slope determination.

[0036] Preferably, the system further includes a neighborhood thermal field sensing module; the neighborhood thermal field sensing module is used to acquire real-time power consumption data of adjacent branches in the same physical power distribution space as the power distribution circuit, and generate a heat dissipation resistance weighting factor based on the real-time power consumption data; the logic arbitration module is also used to adjust the range of the reference threshold according to the heat dissipation resistance weighting factor in order to offset the physical heat dissipation delay caused by external thermal pressure.

[0037] Preferably, in the dual-window sampling unit, the sliding step size of the advance sampling window and the sliding step size of the lag sampling window are both 1s; the window length of the advance sampling window is less than the window length of the lag sampling window.

[0038] Preferably, the historical load mapping module is also used to construct a closing inrush current thermal-work offset model based on load characteristic data and the contact material thermal capacity parameters of the power supply node of the distribution circuit; the dynamic correction amount and the estimated value of the closing transient temperature rise increment are positively proportional.

[0039] Preferably, the mathematical logic expression for the convergence decision unit to perform the decision is: ,in, The slope of heat dissipation in the first transient state. σ is the second transient heat dissipation slope, σ is the dimensionless natural noise reference value stored in the logic arbitration module, and Δδ is the dynamic correction amount generated by the historical load mapping module.

[0040] Preferably, the thermal parameter acquisition module includes multiple thin-film thermistor units distributed at the power supply nodes of the power distribution circuit; the thermal parameter acquisition module is also used to perform weighted average calculation on the raw signals fed back by the multiple thin-film thermistor units to generate a temperature sequence of the physical heat dissipation process.

[0041] Preferably, the neighborhood thermal field sensing module includes a topology-associated storage unit; the topology-associated storage unit is used to store the spatial thermal coupling coefficient between loops; the heat dissipation resistance weighting factor is the cumulative product of real-time power consumption data and spatial thermal coupling coefficient.

[0042] Preferably, the operation execution module includes an energy storage drive unit and a status feedback unit; the energy storage drive unit is used to receive the trigger command output by the logic arbitration module and execute the closing reset action; the status feedback unit is used to monitor the temperature rise rate of the power distribution circuit in real time after the closing reset action is executed, and to execute the circuit secondary trip when the temperature rise rate exceeds 0.5℃ / s.

[0043] Preferably, the logic arbitration module further includes a drift calibration unit; the drift calibration unit is used to acquire the ambient reference temperature and perform zero-point compensation on the thermal parameter acquisition module according to the ambient reference temperature.

[0044] Preferably, the system further includes a communication relay module; the communication relay module is used to upload the first transient heat dissipation slope, the second transient heat dissipation slope, and the trigger time stamp of the closing and reset action calculated by the logic arbitration module to the distribution automation dispatch master station.

[0045] Example 1: In a 10kV distribution room deployed in a high-load industrial park, the thermal resistance of the ventilation filter inside the distribution cabinet drifts nonlinearly due to dust accumulation. When the internal distribution circuit faces heat dissipation obstruction after overload tripping, traditional fixed-delay logic cannot accurately detect the residual heat surplus deep in the contacts. If a forced closing action is performed based on empirically set values ​​at this time, the temperature rise generated by the superposition of closing inrush current and residual thermal stress can easily exceed physical limits, leading to contact welding or secondary thermal tripping accidents. To address the above application difficulties, the thermal parameter acquisition module acquires the temperature sequence of the physical heat dissipation process of the power supply node of the distribution circuit after overload tripping in real time. The dual-window sampling unit in the logic arbitration module defines synchronously sliding advance sampling window and lag sampling window in the temperature sequence of the physical heat dissipation process. The advance sampling window is used to calculate the first transient heat dissipation slope. To capture the high-frequency thermal stress components generated by local airflow disturbances, a hysteresis sampling window is used to calculate the second transient heat dissipation slope. To fit the long-period dissipation fundamental frequency of the physical entity.

[0046] The historical load mapping module extracts load characteristic data of the distribution circuit within 24 hours before tripping, and calculates the estimated value of the instantaneous temperature rise increment during closing based on the load characteristic data, generating a dynamic correction amount Δδ for the heat dissipation slope judgment boundary. On this basis, the convergence judgment unit calculates the first transient heat dissipation slope in real time. With the second transient heat dissipation slope The relative deviation is used to determine whether it converges to the heat dissipation slope determination boundary updated based on the dynamic correction amount Δδ. The heat dissipation slope determination boundary is determined by the superposition of the dimensionless natural noise reference value σ stored in the logic arbitration module and the dynamic correction amount Δδ. Specifically, the mathematical logic expression for the convergence determination unit is as follows: ,in, The slope of heat dissipation in the first transient state. Let σ be the dimensionless natural noise reference value, and Δδ be the dynamic correction value generated by the historical load mapping module; when the first transient heat dissipation slope is... With the second transient heat dissipation slope When the relative deviations meet the above logical constraints and the real-time temperature rise value fed back by the thermal parameter acquisition module is within the preset safe range, the operation execution module drives the power distribution circuit to perform the closing and reset action, uses the status feedback unit to monitor the temperature rise rate after the reset, and performs a secondary trip of the circuit when the temperature rise rate exceeds 0.5℃ / s to avoid physical damage.

[0047] Example 2: In a physical experimental platform simulating the heat dissipation characteristics of a 10kV high-voltage switchgear, a thermal resistance simulation load unit generates heat dissipation power with nonlinear characteristics. This allows the acquisition of the physical heat dissipation temperature sequence of the power supply node in the distribution circuit after tripping. This includes a temperature acquisition unit with a measurement accuracy of 0.1℃ and a sampling rate of 10Hz. A signal processing circuit actively injects Gaussian white noise with a signal-to-noise ratio of 20dB into the original sampled signal to simulate electromagnetic interference in an industrial environment. The sampling period is... The setting depends on the trade-off between the extraction accuracy of the slope characteristics of the physical heat dissipation process and the computational load of the logic arbitration module. Since the time constant of the heat dissipation process in the power distribution circuit is usually on the order of minutes, too short a sampling period will cause high-frequency noise components to falsely mask the slope calculation, while too long a sampling period will cause phase lag in the decision logic. This experiment selects The value is 100ms. This value is determined based on the spectral distribution of the heat dissipation signal and the accuracy requirements of the discretization calculation. This ensures that the transient slope changes caused by local airflow fluctuations can be captured while maintaining the real-time processing bandwidth of the logic arbitration module.

[0048] Under the operating conditions of an ambient temperature of 30.2℃ and a historical load rate of 80% in the 24 hours prior to the simulated trip, the thermal parameter acquisition module obtains a physical heat dissipation temperature sequence. Due to the influence of injected noise, the unprocessed raw temperature signal exhibits sawtooth fluctuations, and the slope calculation result corresponding to the single-point sampling value frequently jumps between 0.05℃ / s and -0.15℃ / s, making it impossible to form a stable reset judgment logic through a single threshold. The dual-window sampling unit defines the length of the pre-sampling window as 5 sampling points and the length of the lag sampling window as 20 sampling points in the above physical heat dissipation temperature sequence. When the physical heat dissipation process enters 350s, the first transient heat dissipation slope is calculated. The value is -0.068℃ / s, while the second transient heat dissipation slope is... The value is -0.082℃ / s, and the relative deviation between the two calculation results is 17.1%. At this point, the physical entity is still in the thermal stress release stage; after 520 seconds of physical heat dissipation, the calculated value is... It stabilized at -0.041℃ / s, while The value is -0.043℃ / s, at which point the calculated relative deviation decreases to 4.7%.

[0049] The historical load mapping module calculates the estimated instantaneous temperature rise increment during closing based on 80% of the historical load characteristic data, outputting a dynamic correction Δδ of 3.0%. Combined with the dimensionless natural noise reference value σ preset by the logic arbitration module (5.0%), and the updated upper limit of the heat dissipation slope judgment boundary (8.0%), since the relative deviation of 4.7% satisfies the logic constraint of less than or equal to 8.0%, the operation execution module drives the distribution circuit to perform a closing reset action at 525.4s. The monitored temperature rise rate after reset remains at 0.12℃ / s. As a control, the control group using a fixed delay of 600s logic experienced a power outage wait of over 120s under a heat dissipation condition of an ambient temperature of 20.5℃. Under obstructed heat dissipation conditions due to network congestion, the circuit breaker closes prematurely because it cannot detect unconverged thermal stress, resulting in a temperature rise rate of 0.85℃ / s after reset and triggering secondary protection tripping. To verify the rationality of the parameter boundaries, an out-of-range control sample group was set up in the test. When the dimensionless natural noise reference value σ was set to 1.0%, the convergence judgment unit was too sensitive to the small slope fluctuations caused by the hot airflow disturbance, resulting in the self-reset action being suspended for more than 1500s without triggering. When σ was set to 25.0%, the judgment interval was too wide, causing the system to misjudge the closing at 150s of physical heat dissipation process. At this time, the real-time temperature rise of the power supply node was still at 65.3℃, and the closing instant induced thermal oxidation damage on the contact surface.

[0050] Example 3: This example combines Figures 1 to 2 The self-reset state control system for power distribution circuits based on thermal parameter feedback is described below. Figure 1As shown, the thermal parameter acquisition module acquires the temperature sequence of the physical heat dissipation process of the power supply node after tripping, and transmits it to the dual-window sampling unit to define synchronously sliding advance sampling window and lag sampling window in the temperature sequence of the physical heat dissipation process, and calculates the first transient heat dissipation slope and the second transient heat dissipation slope respectively. At the same time, the historical load mapping module calculates the estimated value of the transient temperature rise during closing based on the load characteristic data within 24 hours before tripping, and generates a dynamic correction amount for the heat dissipation slope judgment boundary. This dynamic correction amount is input to the convergence judgment unit. The convergence judgment unit superimposes compensation on the benchmark threshold according to the dynamic correction amount to update the heat dissipation slope judgment boundary, and determines whether the deviation of the heat dissipation slope output by the dual-window sampling unit converges to the updated heat dissipation slope judgment boundary. If convergence is determined, a closing command is triggered. Finally, the operation execution module drives the power distribution circuit to perform the closing and reset action when the relative deviation converges.

[0051] like Figure 2 As shown, the system is spatially divided into a physical power supply domain and a self-reset control domain. The power supply nodes of the distribution circuits located in the physical power supply domain are unidirectionally connected to the thermal parameter acquisition module. After the thermal parameter acquisition module collects data, it transmits it to the logic arbitration module located in the self-reset control domain. The logic arbitration module contains a dual-window sampling unit and a convergence determination unit connected in series. The signal generated by the historical load mapping module is input to the convergence determination unit in the logic arbitration module. The convergence determination unit sends a control signal to the operation execution module that spans the interface between the physical power supply domain and the self-reset control domain based on the processing result. The output of the operation execution module is physically connected back to the power supply nodes of the distribution circuits to form a closed-loop control circuit.

[0052] Example 4: In a 35kV power distribution system deployed in a rail transit traction substation, due to the physical differences in the installation locations and external heat dissipation ducts of power distribution cabinets in different functional zones, the system faces the condition of unknown physical thermal resistance parameters during its initial online operation. If a criterion benchmark cannot be established for the environmental noise floor and thermal inertia of a specific cabinet, the logic arbitration module will make a misjudgment in the early stage of heat dissipation evolution, thereby triggering the logic closing action of the self-reset state control system before the contacts have dropped to a safe temperature rise. To establish a physical benchmark for the criterion, the system starts parameter calibration in the initial state where the power distribution circuit is unloaded and has reached thermal equilibrium. The thermal parameter acquisition module acquires the temperature sequence of the physical heat dissipation process at a frequency of 10Hz. The dual-window sampling unit in the logic arbitration module reads the sampling data within 60 seconds and calculates the temperature residual. Using the ratio of the standard deviation to the mean of the temperature residual, the dimensionless natural noise benchmark value σ stored in the local register is determined to be 4.2%. The system determines the length of the preliminary sampling window based on the physical response time constant of the temperature sensor. Five sampling points were used, and the length of the hysteresis sampling window was adjusted based on the long-cycle heat dissipation characteristics of the physical entity. Set as This is 4.0 times the value, corresponding to 20 sampling points. This scaling factor is used to ensure accurate calculation of the second transient heat dissipation slope. At the same time, it effectively filters out non-stationary random disturbances caused by local thermal convection in the distribution cabinet.

[0053] Based on this, the historical load mapping module uses an energy surplus model to calculate the dynamic correction Δδ, which reads the average current of the distribution circuit in the 24 hours prior to tripping. and rated current The thermal shock intensity at the moment of closing is simulated by calculating the correlation between load energy density and heat dissipation rate. The calculation logic of the dynamic correction Δδ is as follows: In the formula, Δδ is the dynamic correction amount, and α is the thermal resistance weighting factor preset according to the ventilation coefficient of the distribution cabinet. In this embodiment, the value is taken as 0.05. Through the quantitative mapping of this physical parameter, the system internalizes the residual thermal stress caused by historical loads into the dynamic compensation term of the judgment boundary. When the system faces an overload tripping condition, the temperature sequence of the physical heat dissipation process is generated accordingly, and the logic arbitration module monitors the first transient heat dissipation slope in real time. With the second transient heat dissipation slope As the heat dissipation process progresses, the calculated relative deviation is 12.5% ​​when the heat dissipation process reaches 400s. Since this value has not yet converged to the 9.2% judgment boundary generated by the superposition of σ and Δδ, the reset command remains locked. By 580s, the relative deviation has decreased to 8.7%, which meets the convergence judgment condition. The operation execution module drives the power distribution circuit to perform self-reset closing. The monitoring data after the reset shows that the temperature rise of the power supply node is within the safe threshold.

[0054] Example 5: During the commissioning of the 10kV distribution room in a newly built substation, the distribution cabinet exhibited physical deviations in the layout of the heat dissipation fins and the effective area of ​​the ventilation holes due to differences in production batches. Before entering the self-reset control mode, the system performed a pre-deployment calibration to establish an environmental baseline. Under the condition that the circuit was de-energized and idle, and the node temperature was close to the ambient temperature, the thermal parameter acquisition module continuously acquired a 300s discrete temperature data stream. The logic arbitration module calculated the ratio of the standard deviation to the mean of the discrete temperature data stream to determine the local value of the dimensionless natural noise baseline value σ stored in the local register. By passing a test current of a preset intensity through the circuit and observing the initial cooling rate after the power outage, the specific value of the thermal resistance weighting factor α was calculated. This value determined the energy conversion ratio of the historical load mapping module under the current cabinet environment.

[0055] When the system encounters switch contacts with different material compositions and heat capacities, the initialization program fine-tunes the calculation step size of the dual-window sampling unit by analyzing the initial evolution characteristics of the heat dissipation curve after the first trip, identifies the inflection point of the autocorrelation decrease in the temperature sequence of the physical heat dissipation process in the time domain, and determines the number of sampling points corresponding to it as the length of the preliminary sampling window. Thus, while maintaining the length of the hysteresis sampling window With the length of the prior sampling window Under the constraint of a 4.0 ratio, the in-situ configuration of the dual-window filtering characteristics is completed. The field parameter calibration process corrects the criterion offset caused by the difference in equipment hardware, so that the convergence judgment logic of the relative deviation is anchored at the physical balance point of the heat dissipation process. The operation execution module receives the trigger command and executes the closing and reset action.

[0056] Example 6: When performing parameter identification procedures on a vacuum circuit breaker with a rated current of 1250A to establish the initial configuration of the logic arbitration module, the thermal parameter acquisition module acquires the temperature sequence of the physical heat dissipation process of the contact bridge arm at a constant ambient temperature of 25.0℃. To extract the thermal resistance weighting factor α unique to the distribution cabinet structure, the system continuously applies a test current of 625A to the circuit until the node temperature rise curve enters a stable fluctuation state. Complete temperature decay trend data is recorded within a 1000s monitoring period after the current is cut off. The historical load mapping module extracts the initial cooling rate from the temperature decay trend data and calculates the proportion of accumulated Joule heat loss by combining it with the peak temperature rise at the moment of tripping. By performing discrete integral calculations on the heat dissipation curve, the thermal resistance is... The value of the weighting factor α is determined to be 0.048. This value is used to characterize the energy dissipation efficiency of the power distribution circuit under the current cabinet layout. The thermal resistance weighting factor α in the historical load mapping module is calibrated by performing a standard thermal decay experiment on the power distribution circuit. Under constant ambient temperature, the rated current is applied to the power distribution circuit to make the power supply node reach a stable temperature rise state and then the current is turned off. The physical heat dissipation temperature sequence with a duration of not less than 1000s is obtained using the thermal parameter acquisition module. The thermal time constant τ is extracted by fitting the single exponential decay function of the physical heat dissipation temperature sequence using the least squares method. By performing discrete integral operation on the heat dissipation curve, the value of the thermal resistance weighting factor α is determined to be 0.048, providing a physical basis for calculating the dynamic correction amount Δδ that reflects the heat dissipation efficiency of the cabinet.

[0057] The system initialization program determines the length of the preliminary sampling window based on the physical response time constant of the contact thermistor. Five sampling points were used to extract the abrupt change characteristics of the heat dissipation slope while suppressing high-frequency induced noise in the acquisition loop, following the hysteresis sampling window length. With the length of the prior sampling window The physical constraints, which have a 4.0 ratio, will The sampling points are determined to be 20, and the length of the preliminary sampling window in the dual-window sampling unit is [not specified]. With hysteresis sampling window length Based on the dynamic configuration of signal autocorrelation, during the system initialization phase, an ambient temperature noise floor sequence of no less than 600 sampling points is collected, the sequence autocorrelation function R(k) is calculated, and the corresponding time delay order at which the function value drops to 1 / e times the peak value is identified. Delay order The corresponding number of sampling points is determined by the length of the pre-sampling window. Calculate the lag sampling window length at a ratio of 4:1. The slope of the first transient heat dissipation With the second transient heat dissipation slope The calculation process filters out high-frequency electromagnetic interference and extracts the fundamental frequency component that reflects the physical heat dissipation trend. At the same time, the logic arbitration module acquires a 60-second temperature data stream under steady-state conditions where the power distribution circuit is de-energized and there is no external heat source interference. The dimensionless natural noise benchmark value σ is determined to be 4.1% by calculating the ratio of the standard deviation to the mean of the slope fluctuation data. This parameter calibration process for the deployment site corrects the criterion offset caused by differences in equipment hardware and ensures that the relative deviation calculation result of the convergence judgment unit is always consistent with the evolution state of the physical equilibrium point.

[0058] In a low-voltage distribution room containing multiple compactly arranged switch units, the self-reset state control system establishes a communication connection with the data bus of adjacent distribution branches through a neighborhood thermal field sensing module, and acquires the current load data of adjacent branches in real time. When adjacent branches are operating at high power, the Joule heat they generate forms a thermal pressure component through the metal partitions of the distribution cabinet, thereby slowing down the physical heat dissipation rate of the target distribution circuit's power supply node. To offset this heat dissipation delay caused by external heat sources, the system initiates a neighborhood calibration procedure, and the logic arbitration module processes the current load data. The heat dissipation resistance weighting factor β is generated by multiplying the pre-stored inter-cabinet heat transfer coefficient γ with the heat dissipation resistance coefficient γ. The calculation expression for the heat dissipation resistance weighting factor β is as follows: In the formula, β is the heat dissipation resistance weighting factor, and γ is the experimentally calibrated thermal field coupling constant, which is taken as 0.035 in this embodiment. The spatial thermal coupling coefficient γ in the neighborhood thermal field sensing module is determined based on differential thermal effect tests between adjacent circuits, using the rated current of adjacent branches. When the target power distribution circuit is de-energized and its temperature is in equilibrium with the environment, the rated load current is applied to adjacent branches within the same physical power distribution space. After the adjacent branches reach thermal equilibrium, the steady-state temperature rise offset of the target power distribution circuit's power supply node, measured by the thermal parameter acquisition module, is read. The ratio of this offset to the rated temperature rise of the adjacent branches is set as the spatial thermal coupling coefficient γ and stored in the topology association storage unit for subsequent operation processes and real-time power consumption data of adjacent branches. The product operation generates a heat dissipation resistance weighting factor β. The convergence judgment unit receives the heat dissipation resistance weighting factor β and superimposes it onto the heat dissipation slope judgment boundary, so that the judgment boundary is dynamically adjusted according to the power intensity of the neighboring cabinet load. This boundary self-correction regularization process based on neighborhood energy feedback eliminates the false masking effect of environmental thermal interference on the heat dissipation process identification, ensuring the reliability of the operation execution module's closing decision under clustered deployment conditions.

[0059] The embodiments of this application have been described above with reference to the accompanying drawings. Unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other. This application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit of this application and the scope of protection of this invention, and all of these forms are within the protection scope of this application.

Claims

1. A self-reset state control system for power distribution circuits based on thermal parameter feedback, characterized in that the system... include: The thermal parameter acquisition module is used to acquire the temperature sequence of the physical heat dissipation process of the power supply node of the power distribution circuit after overload tripping in real time. The historical load mapping module is used to extract load characteristic data of the distribution circuit within 24 hours before tripping, and calculate the estimated value of the instantaneous temperature rise increment during closing based on the load characteristic data, and generate the dynamic correction amount of the heat dissipation slope judgment boundary. The logic arbitration module is connected to both the thermal parameter acquisition module and the historical load mapping module. It stores the baseline threshold for the heat dissipation slope determination boundary and includes a dual-window sampling unit and a convergence determination unit. The dual-window sampling unit defines synchronously sliding advance sampling windows and lag sampling windows in the temperature sequence of the physical heat dissipation process, and calculates the first transient heat dissipation slope of the advance sampling window and the second transient heat dissipation slope of the lag sampling window. The convergence determination unit receives dynamic correction values ​​and performs superposition compensation on the baseline threshold based on these values ​​to update the heat dissipation slope determination boundary, determining whether the relative deviation between the first and second transient heat dissipation slopes converges to the updated heat dissipation slope determination boundary. The operation module is used to drive the power distribution circuit to perform a closing and reset action when the relative deviation converges to the boundary of the heat dissipation slope determination.

2. The power distribution circuit self-reset state control system based on thermal parameter feedback according to claim 1, characterized in that, The system also includes a neighborhood thermal field sensing module; the neighborhood thermal field sensing module is used to acquire real-time power consumption data of adjacent branches that are in the same physical power distribution space as the power distribution circuit, and generate a heat dissipation resistance weighting factor based on the real-time power consumption data; The logic arbitration module is also used to weight the heat dissipation resistance and superimpose it onto the heat dissipation slope determination boundary. The range of the benchmark threshold is adjusted according to the heat dissipation resistance weighting factor to offset the physical heat dissipation delay caused by external heat pressure.

3. The power distribution circuit self-reset state control system based on thermal parameter feedback according to claim 1, characterized in that, In the dual-window sampling unit, the sliding step size of the advance sampling window and the sliding step size of the lag sampling window are both 1s; the window length of the advance sampling window is less than the window length of the lag sampling window.

4. The power distribution circuit self-reset state control system based on thermal parameter feedback according to claim 1, characterized in that, The historical load mapping module uses an energy surplus model to calculate the dynamic correction Δδ, which reads the average current of the distribution circuit in the 24 hours prior to tripping. and rated current The thermal shock intensity at the moment of closing is simulated by calculating the correlation between load energy density and heat dissipation rate. The calculation logic of the dynamic correction Δδ is as follows: In the formula, Δδ is the dynamic correction amount, and α is the thermal resistance weighting factor preset according to the ventilation coefficient of the distribution cabinet.

5. A power distribution circuit self-reset state control system based on thermal parameter feedback according to claim 1, characterized in that, The mathematical logic expression for the convergence decision unit to make the decision is as follows: ,in, The slope of heat dissipation in the first transient state. σ is the second transient heat dissipation slope, σ is the dimensionless natural noise reference value stored in the logic arbitration module, and Δδ is the dynamic correction amount generated by the historical load mapping module.

6. The power distribution circuit self-reset state control system based on thermal parameter feedback according to claim 1, characterized in that, The thermal parameter acquisition module includes multiple thin-film thermistor units distributed at the power supply nodes of the power distribution circuit; the thermal parameter acquisition module is also used to perform weighted average calculation on the raw signals fed back by multiple thin-film thermistor units to generate a temperature sequence of the physical heat dissipation process.

7. A power distribution circuit self-reset state control system based on thermal parameter feedback according to claim 2, characterized in that, The neighborhood thermal field sensing module includes a topology-associated storage unit; the topology-associated storage unit is used to store the spatial thermal coupling coefficient between loops; the heat dissipation resistance weighting factor is the cumulative product of real-time power consumption data and spatial thermal coupling coefficient.

8. A power distribution circuit self-reset state control system based on thermal parameter feedback according to claim 1, characterized in that, The operation execution module includes an energy storage drive unit and a status feedback unit; the energy storage drive unit is used to receive the trigger command output by the logic arbitration module and execute the closing reset action; the status feedback unit is used to monitor the temperature rise rate of the power distribution circuit in real time after the closing reset action is executed, and to execute the circuit secondary trip when the temperature rise rate exceeds 0.5℃ / s.

9. A power distribution circuit self-reset state control system based on thermal parameter feedback according to claim 1, characterized in that, The logic arbitration module also includes a drift calibration unit; the drift calibration unit is used to acquire the ambient reference temperature and perform zero-point compensation on the thermal parameter acquisition module based on the ambient reference temperature.

10. A power distribution circuit self-reset state control system based on thermal parameter feedback according to claim 1, characterized in that, The system also includes a communication relay module; the communication relay module is used to upload the first transient heat dissipation slope, the second transient heat dissipation slope, and the trigger time stamp of the closing and reset action calculated by the logic arbitration module to the distribution automation dispatch master station.

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