A drive instruction programmed timing control system of an intelligent drive node

Abstract

The application relates to the technical field of smart power grids, and discloses a driving instruction programmed time sequence control system of a smart driving node, which comprises an instruction package generation module, a controlled response terminal and the like. The instruction package generation module converts scheduling requirements into a programmed instruction package containing instruction action codes, physical evolution threshold values and a logic dependence matrix. The controlled response terminal acquires the voltage vector phase and the frequency change rate of an access point, identifies time sequence constraints by using the logic dependence matrix to establish a logic authorization signal, and completes offset compensation on the physical evolution threshold value by using the frequency change rate to establish a synchronous release window. When the voltage vector phase enters the synchronous release window, a driving pulse is output. The application takes physical evolution as a synchronous reference, eliminates the dependence on absolute time stamps, can still ensure that all nodes are aligned in a microsecond level phase when there is time delay jitter in wide area communication, and avoids power impact caused by action time difference.

Description

Technical Field

[0001] This invention relates to the field of smart grid technology, and in particular to a programmed timing control system for drive instructions of intelligent drive nodes. Background Technology

[0002] Currently, in smart grid control systems that include distributed energy access, the master station typically sends instruction packets containing absolute timestamps to edge drive nodes. Each drive node then matches the timestamp with its local clock to initiate control actions. However, as the scale of the power grid expands and the complexity of communication links increases, the asymmetric delay jitter of wide area networks and the frequency drift of the drive node's local clock lead to a decrease in synchronization accuracy. Even with hardware methods such as time-sensitive networking, it is still difficult to maintain sub-millisecond physical consistency when faced with nondeterministic delays caused by sudden congestion. The core bottleneck lies in the fact that existing triggering logic generally relies on transient cross-section judgment, that is, it determines the logic release based solely on whether the electrical values ​​at a certain sampling moment meet the static threshold.

[0003] Because the voltage phase at the grid connection point experiences high-frequency jumps and harmonic distortions when encountering topology switching or nonlinear load impacts, the lack of judgment logic to verify the historical correlation of physical state evolution makes edge nodes prone to malfunctions under noise interference. In addition to the physical limitations of hardware access point state sampling, software control methods also have shortcomings. For example, Chinese invention patent application CN121509143A discloses a phase synchronization control method and energy storage system for energy storage devices. It uses time-division multiplexing of phase frames and delay frames between master and slave devices, calculates the end-to-end communication delay using hardware timestamps, and combines rotational angular velocity to predict the real-time phase of the master device. The prediction compensation method relies on the premise that the delay jitter is measurable and follows a linear evolution. When faced with high-frequency random jitter or extremely rapid transient conditions in wide area networks, the logic chain for inferring the current physical phase state based on past time delays produces phase tracking lag and cumulative deviation, and cannot eliminate the deception of the control logic by electrical noise from the mechanism level.

[0004] Therefore, the technical problem to be solved by this invention is how to use the inherent physical and electrical evolution trajectory of the grid connection point as a common benchmark for multi-node action coordination and establish a feature matching mechanism that can shield physical distortion interference in order to realize the programmed timing control of drive instructions under non-ideal communication environment and complex working conditions. Summary of the Invention

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a programmed timing control system for intelligent drive nodes, the system comprising an instruction packet generation module, a controlled response terminal, a state closed-loop feedback module, and a communication scheduling interface. The instruction package generation module is used to generate a programmed instruction package containing instruction action codes, target state trigger parameters and logical dependency matrices based on the power balance scheduling requirements during the microgrid topology transient switching process, and send it to the controlled response terminal through the communication scheduling interface. The controlled response terminal includes a local state sampling module, a logic parsing and judgment module, and a phase synchronization triggering module; the local state sampling module is used to capture the voltage vector phase and frequency evolution rate of the access point in real time, and extract the micro-components characterizing the physical evolution trend. The logic parsing and determination module is used to parse the programmed instruction package and use the logic dependency matrix to extract the timing constraint state of the current instruction action relative to the processed instruction sequence, so as to generate a logic authorization signal for blocking or releasing the phase triggering path. The phase synchronization trigger module, in response to the logic authorization signal, uses the predicted deviation value corresponding to the frequency evolution rate to perform dynamic offset compensation on the target state trigger parameters, so as to establish a synchronization release window that is strongly coupled with the physical state of the access point. When the real-time sampled value of the voltage vector phase falls into the synchronization release window and the logic authorization signal generated by the logic parsing and judgment module is in the enabled state, the phase synchronization trigger module outputs a programmable drive pulse corresponding to the instruction action code to the external controlled object.

[0006] Preferably, the controlled response terminal further includes a state evolution prediction module; the state evolution prediction module is used to use the frequency evolution rate obtained by the local state sampling module to deduce the expected deviation value of the voltage vector phase reaching the target state trigger parameter, and accordingly to dynamically correct the opening advance of the synchronization release window, so as to offset the inherent signal conversion hysteresis of the phase synchronization trigger module and ensure that the transient coincidence accuracy of the programmable drive pulse and the voltage vector phase is maintained within 10μs.

[0007] Preferably, the logical dependency matrix includes the preceding action fingerprint, the maximum evolution delay constraint, and the associated blocking weight; when generating the logical authorization signal, the logical parsing and determination module is used to verify the character-by-character consistency between the feedback state of the completed action and the preceding action fingerprint; if the voltage vector evolution time obtained by the local state sampling module exceeds the maximum evolution delay constraint, the logical parsing and determination module generates a blocking signal according to the associated blocking weight to cut off the pulse output path of the phase synchronization triggering module.

[0008] Preferably, the instruction packet generation module is used to embed power fluctuation feature fingerprints in the programmed instruction packet; the controlled response terminal also includes a feature verification module, which is used to extract low-frequency disturbance envelopes from the voltage signal of the access point and perform cross-correlation comparison between the low-frequency disturbance envelopes and the power fluctuation feature fingerprints to establish a verification operator for verifying the legality of the data source.

[0009] Preferably, the controlled response terminal further includes a logic topology reconstruction module; the logic topology reconstruction module is used to reorganize the logic structure of the current instruction sequence to be output according to the preset redundant logic paths in the logic dependency matrix when the logic parsing and judgment module determines that the timing constraint state is abnormal, and to map the reorganized instruction onto the physical evolution trajectory represented by the frequency evolution rate.

[0010] Preferably, the programmed instruction package also includes a steady-state threshold boundary; the steady-state threshold boundary is used to limit the permissible disturbance value of the voltage vector phase and the gradient maximum value of the frequency evolution rate; when the sampled data acquired by the local state sampling module crosses the steady-state threshold boundary, the phase synchronization trigger module suspends the release of the programmed drive pulse until the sampled data returns to within the steady-state threshold boundary.

[0011] Preferably, the instruction packet generation module has a high-precision time-sensitive network interface and allocates the transmission path of the programmed instruction packet according to the preset communication load weight; the controlled response terminal is used to perform periodic audits on the lifespan of the programmed instruction packet at the logical level and destroy expired instructions according to the lifespan parameters in the logical dependency matrix.

[0012] Preferably, the phase synchronization triggering module includes a phase accumulation register and a numerical comparison and determination unit; the phase accumulation register uses the frequency evolution rate to drive the stepping logic of the local virtual phase in real time to simulate the continuous evolution process of the local physical state; the numerical comparison and determination unit is used to trigger a programmable drive pulse when the absolute value of the deviation between the value of the local virtual phase and the target state triggering parameter is less than 0.01 radians.

[0013] Preferably, the controlled response terminal is used to upload the measured phase value of the pulse release time to the instruction packet generation module in real time through the state closed-loop feedback module; the instruction packet generation module establishes the systematic deviation component between the local time base and the physical reference axis of the access point based on the measured phase value, and corrects the target state triggering parameters in the subsequent programmed instruction packets accordingly.

[0014] The beneficial effects of this invention are: 1. In the programmed timing control of drive commands, the evolution trajectory of the local phase space is constructed by using the real-time voltage phase of the grid connection point, and matched with the pre-approximation trajectory envelope data table embedded in the command package. This transforms the basis for releasing control commands from a single transient numerical comparison to isomorphic verification of high-dimensional spatiotemporal trajectories. Since the phase jumps caused by power system faults or strong electromagnetic interference are discrete and abrupt, their evolution form inevitably violates the continuous geometric characteristics dominated by system inertia. Through this mechanism, edge nodes can identify and block pseudo-safety trigger points that do not conform to the laws of physical evolution, strip away the deception of control logic by distorted signals, and ensure the absolute determinism of command triggering under extreme and severe operating conditions.

[0015] 2. By using the inherent electrical state evolution of the power grid as the synchronization benchmark for multi-node action coordination, replacing the dependence on absolute timestamps, and by coupling the target execution phase with the local real-time frequency evolution rate, the triggering of commands depends entirely on the real-time evolution of the local physical state. This approach enables drive nodes distributed in different geographical locations to still generate drive signals based on the same physical phase point when facing asymmetric time delay jitter caused by wide-area communication networks, achieving microsecond-level transient control accuracy and effectively avoiding transient power impacts and collaborative control failures caused by multi-node action time differences.

[0016] 3. By establishing a collaborative linkage mechanism of boundary constraint parameters, timeout thresholds, and prerequisite dependency matrices, dynamic reorganization and abnormal blocking of instruction sequences are realized at the edge side. When the power grid topology changes significantly and the local state cannot reach the preset threshold, the timeout clearing unit and the timing reorganization module automatically cut off subsequent instructions that may cause reverse energy backflow through the cascading destruction of logical dependency branches, avoiding logical deadlock caused by instruction accumulation. This mechanism places the triggering risk of a single instruction in the global topology association for real-time evaluation, improving the system's operational stability under complex fault conditions. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, wherein: Figure 1 This invention provides a structural principle and instruction issuance and response flowchart for the programmed timing control system driven by instructions. Figure 2 This is the execution diagram for the state feature verification and evolution prediction within the controlled terminal of the intelligent node in this invention. Detailed Implementation

[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0019] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0020] Secondly, an embodiment or embodiment referred to herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. An embodiment appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0021] This invention is described in detail with reference to the schematic diagrams. When describing the embodiments of this invention, for ease of explanation, the cross-sectional views of the device structure will be partially enlarged without adhering to the general scale. Moreover, the schematic diagrams are only examples and should not limit the scope of protection of this invention. In addition, in actual manufacturing, the three-dimensional spatial dimensions of length, width and depth should be included.

[0022] Furthermore, in the description of this invention, it should be noted that the terms such as "upper," "lower," "inner," and "outer" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or component referred to has a specific orientation, or is constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0023] Unless otherwise explicitly specified and limited, the terms installation, connection, and linking in this invention should be interpreted broadly. For example, they can refer to fixed connection, detachable connection, or integrated connection; similarly, they can refer to mechanical connection, electrical connection, or direct connection, or indirect connection through an intermediate medium, or internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0024] A programmed timing control system for drive instructions of an intelligent drive node, the system comprising an instruction packet generation module, a controlled response terminal, a state closed-loop feedback module, and a communication scheduling interface: The instruction package generation module is used to generate a programmed instruction package containing instruction action codes, target state trigger parameters and logical dependency matrices based on the power balance scheduling requirements during the microgrid topology transient switching process, and send it to the controlled response terminal through the communication scheduling interface. The controlled response terminal includes a local state sampling module, a logic parsing and judgment module, and a phase synchronization triggering module; the local state sampling module is used to capture the voltage vector phase and frequency evolution rate of the access point in real time, and extract the micro-components characterizing the physical evolution trend. The logic parsing and determination module is used to parse the programmed instruction package and use the logic dependency matrix to extract the timing constraint state of the current instruction action relative to the processed instruction sequence, so as to generate a logic authorization signal for blocking or releasing the phase triggering path. The phase synchronization trigger module, in response to the logic authorization signal, uses the predicted deviation value corresponding to the frequency evolution rate to perform dynamic offset compensation on the target state trigger parameters, so as to establish a synchronization release window that is strongly coupled with the physical state of the access point. When the real-time sampled value of the voltage vector phase falls into the synchronization release window and the logic authorization signal generated by the logic parsing and judgment module is in the enabled state, the phase synchronization trigger module outputs a programmable drive pulse corresponding to the instruction action code to the external controlled object.

[0025] Preferably, the controlled response terminal further includes a state evolution prediction module; the state evolution prediction module is used to use the frequency evolution rate obtained by the local state sampling module to deduce the expected deviation value of the voltage vector phase reaching the target state trigger parameter, and accordingly to dynamically correct the opening advance of the synchronization release window, so as to offset the inherent signal conversion hysteresis of the phase synchronization trigger module and ensure that the transient coincidence accuracy of the programmable drive pulse and the voltage vector phase is maintained within 10μs.

[0026] Preferably, the logical dependency matrix includes the preceding action fingerprint, the maximum evolution delay constraint, and the associated blocking weight; when generating the logical authorization signal, the logical parsing and determination module is used to verify the character-by-character consistency between the feedback state of the completed action and the preceding action fingerprint; if the voltage vector evolution time obtained by the local state sampling module exceeds the maximum evolution delay constraint, the logical parsing and determination module generates a blocking signal according to the associated blocking weight to cut off the pulse output path of the phase synchronization triggering module.

[0027] Preferably, the instruction packet generation module is used to embed power fluctuation feature fingerprints in the programmed instruction packet; the controlled response terminal also includes a feature verification module, which is used to extract low-frequency disturbance envelopes from the voltage signal of the access point and perform cross-correlation comparison between the low-frequency disturbance envelopes and the power fluctuation feature fingerprints to establish a verification operator for verifying the legality of the data source.

[0028] Preferably, the feature verification module calculates the legality determination coefficient using the following formula. Where s(t) is the low-frequency disturbance envelope, w(t) is the power fluctuation feature fingerprint, and T is the sampling period; when ρ is greater than the preset logic unlock threshold, the feature verification module outputs a release enable pulse to the logic parsing and judgment module.

[0029] Preferably, the controlled response terminal further includes a logic topology reconstruction module; the logic topology reconstruction module is used to reorganize the logic structure of the current instruction sequence to be output according to the preset redundant logic paths in the logic dependency matrix when the logic parsing and judgment module determines that the timing constraint state is abnormal, and to map the reorganized instruction onto the physical evolution trajectory represented by the frequency evolution rate.

[0030] Preferably, the programmed instruction package also includes a steady-state threshold boundary; the steady-state threshold boundary is used to limit the permissible disturbance value of the voltage vector phase and the gradient maximum value of the frequency evolution rate; when the sampled data acquired by the local state sampling module crosses the steady-state threshold boundary, the phase synchronization trigger module suspends the release of the programmed drive pulse until the sampled data returns to within the steady-state threshold boundary.

[0031] Preferably, the instruction packet generation module has a high-precision time-sensitive network interface and allocates the transmission path of the programmed instruction packet according to the preset communication load weight; the controlled response terminal is used to perform periodic audits on the lifespan of the programmed instruction packet at the logical level and destroy expired instructions according to the lifespan parameters in the logical dependency matrix.

[0032] Preferably, the phase synchronization triggering module includes a phase accumulation register and a numerical comparison and determination unit; the phase accumulation register uses the frequency evolution rate to drive the stepping logic of the local virtual phase in real time to simulate the continuous evolution process of the local physical state; the numerical comparison and determination unit is used to trigger a programmable drive pulse when the absolute value of the deviation between the value of the local virtual phase and the target state triggering parameter is less than 0.01 radians.

[0033] Preferably, the controlled response terminal is used to upload the measured phase value of the pulse release time to the instruction packet generation module in real time through the state closed-loop feedback module; the instruction packet generation module establishes the systematic deviation component between the local time base and the physical reference axis of the access point based on the measured phase value, and corrects the target state triggering parameters in the subsequent programmed instruction packets accordingly.

[0034] Example 1: In the transient switching operation of a smart microgrid topology with a high proportion of distributed energy access, the asymmetric delay jitter of the wide-area communication network causes millisecond-level misalignment in the physical time of multiple nodes receiving scheduling information. The triggering mechanism, which relies on the system clock matching absolute timestamps, leads to asynchronous actions of distributed nodes in this communication environment, resulting in transient power surges and system circulating currents. To resolve the timing conflict caused by the network delay of information flow and the high-frequency dynamic balancing requirements of physical flow, the instruction packet generation module generates an instruction action code, target state trigger parameters, and logical parameters based on the power balance scheduling requirements during the microgrid topology transient switching process. The programmable instruction package of the logical dependency matrix is ​​sent to the controlled response terminal through the communication scheduling interface. The local state sampling module in the controlled response terminal captures the voltage vector phase and frequency evolution rate of the access point in real time and extracts the micro-components that characterize the physical evolution trend. Based on this data, the logic parsing and judgment module parses the programmable instruction package, uses the logical dependency matrix to extract the temporal constraint state of the current instruction action relative to the processed instruction sequence, and generates a logical authorization signal for the release phase triggering path. This extends the action constraints of multiple nodes from the state of a single node to the global topological association, eliminating the potential for conflicts between local actions and global timing.

[0035] The phase synchronization triggering module responds to the logic grant signal and uses the predicted deviation value corresponding to the frequency evolution rate to perform dynamic offset compensation for the target state triggering parameters. It establishes a synchronization release window coupled with the physical state of the access point, abandons the data dependence on the wide-area absolute time synchronization network, and redefines the control triggering reference as the physical evolution trajectory of the local electrical state of the power grid. When the real-time sampled value of the voltage vector phase falls into the synchronization release window and the logic grant signal generated by the logic parsing and judgment module is in the enabled state, the phase synchronization triggering module outputs a programmable drive pulse corresponding to the command action code to the external controlled object. The information topology layer constraint provided by the logic grant signal works in conjunction with the physical phase state layer tracking provided by the synchronization release window. The drive nodes distributed across regions rely on the inherent physical electrical evolution trajectory of the grid connection point as a common reference to output drive signals, avoiding the time difference of concurrent actions of multiple nodes caused by the physical time delay asymmetry of the communication network, ensuring the determinism of the execution of control commands by intelligent connected devices under extreme communication conditions and the smooth transition of transient power flow in the microgrid.

[0036] Example 2: In a transient switching test of a smart microgrid topology with a high proportion of distributed energy access, asymmetric time delay jitter in the wide-area communication network causes a misalignment in the physical time of multiple nodes receiving scheduling information. To verify the system's synchronization accuracy under extreme communication conditions, a hardware-in-the-loop simulation test platform for the distribution network topology based on the discrete system state-space equations was constructed. This platform includes a real-time control chassis with a closed-loop response time of no more than 10 μs and a network impairment tester. The network impairment tester is used to inject random asymmetric time delay jitter into the communication link, and the test signal source is superimposed with a signal-to-noise ratio of 20 dB. Gaussian white noise and 50Hz power frequency interference harmonics were used to simulate the base disturbance of the industrial electromagnetic environment. The prediction compensation window length parameter of the state evolution prediction module in the controlled response terminal was set according to the principle of balancing the real-time tracking of transient physical quantities and the smoothness of high-frequency noise filtering. When the voltage fundamental frequency of the microgrid access point deviates from the standard value by a large margin, in order to avoid signal aliasing under the Nyquist sampling theorem, the prediction compensation window length tends to the lower limit of the value range. Based on this principle, the sampling frequency was established as 10kHz and the prediction compensation window length was set to 50 sampling periods.

[0037] The programmed instruction package containing the instruction action code is sent to the controlled response terminal through the communication scheduling interface. The basic physical communication delay set by the network impairment instrument is increased from 10ms to 150ms. A control group using an absolute timestamp triggering mechanism and an experimental group using the technical solution of this invention are set up. Under the original input conditions of a basic physical communication delay of 50ms and superimposed 20dB noise, the voltage vector phase captured by the control group is out of sync with the physical evolution due to the time delay, and the deviation between its pulse output time and the target phase reaches 45°. The controlled response terminal of the experimental group captures the voltage vector in real time through the local state sampling module. The phase and frequency evolution rate, the logic parsing and determination module uses the logic dependency matrix to extract the timing constraint state of the current instruction action relative to the processed instruction sequence and generate a logic authorization signal; the state evolution prediction module extracts the frequency evolution rate and deduces the corresponding expected deviation value to dynamically correct the opening advance of the synchronization release window; when the basic physical communication delay is 50ms, with the information topology layer constraint provided by the logic authorization signal and the feedforward compensation effect of the frequency evolution rate, the synchronization release window established by the experimental group reduces the variance of phase capture deviation from the initial 15.6 to 1.2, showing the ability to filter and suppress Gaussian white noise.

[0038] To verify the synergistic effect and boundary conditions of dynamic offset compensation, a partially missing control group with the state evolution prediction module stripped and an out-of-range control group with the compensation gain coefficient set to 1.5 times the rated upper limit were added. As the network delay disturbance intensity level increased from mild to severe, at a delay of 100ms, the phase synchronization error of the partially missing control group rose to 12.5°, while the phase synchronization error of the experimental group remained within 1.5°, indicating that the synergistic effect of the combination of frequency evolution rate feedforward compensation and logic license signal limits the action time difference to the microsecond level. When the latency rises above 120ms, the out-of-range control group experiences saturation divergence in the phase prediction trajectory due to overcompensation, and the synchronization error jumps exponentially to 18.2°, showing a clear performance degradation inflection point. The test group, within the optimal working window of network latency not exceeding 120ms, enables the drive nodes distributed across regions to output drive pulses based on the inherent physical and electrical evolution trajectory of the grid connection point, eliminating the time difference of concurrent actions of multiple nodes induced by asymmetric latency jitter, ensuring the determinism of the output control response of intelligent connected devices under harsh communication conditions and the smooth transition of transient power flow in the microgrid.

[0039] Example 3: In a smart microgrid scenario that is subjected to high-frequency transient switching and exposed to wide-area open communication links, the system faces the risk of implicit negative event injection, where external data sources tamper with scheduling timing information and issue forged drive commands to the controlled response terminal. The command packet generation module extracts the low-frequency power oscillation characteristics of the entire network monitored by the master station, generates a power fluctuation feature fingerprint, and writes the power fluctuation feature fingerprint into the programmed command packet. The feature verification module in the controlled response terminal receives the programmed command packet and extracts the access point voltage time series obtained by the local state sampling module. The feature verification module applies a low-pass finite-length unit impulse response filter with a cutoff frequency of 5Hz to filter out the 50Hz fundamental component and high-frequency switching harmonics in the voltage time series, and separates the low-frequency disturbance envelope corresponding to the electromechanical transient process of the power grid.

[0040] The feature verification module reads the power fluctuation feature fingerprint from the programmed instruction package. Based on the fundamental signal processing theory, it obtains the global extremum physical characteristics of the cross-correlation function at the point of perfect time delay matching, establishes a dynamic sliding optimization procedure, and eliminates the cross-sectional misalignment deviation caused by the clock asynchrony between the wide area network and the local physical network. Internally, the feature verification module constructs a circular buffer register with a step size of a single sampling period. The extracted discrete sequence of the power fluctuation feature fingerprint is set as a static stability template, driving the locally acquired low-frequency disturbance envelope discrete sequence to slide step-by-step within the circular buffer register. The normalized inner product value calculated at each step of the sliding process is recorded, and the moment when the maximum value of the cross-correlation coefficient occurs during the global optimization process is locked as the origin of the correlation between the two. Without external absolute time reference constraints, the discrete sequence of the power fluctuation feature fingerprint and the discrete sequence of the low-frequency disturbance envelope are linked. The discrete sequences are aligned on the time axis; the feature verification module calculates the normalized inner product of the two discrete sequences within a sliding time window containing 512 sampling periods, generating a cross-correlation coefficient characterizing the similarity of their time-series waveforms; the feature verification module sets a preset safety benchmark threshold of 0.85 and compares the cross-correlation coefficient with the preset safety benchmark threshold; when the cross-correlation coefficient is greater than or equal to 0.85, the feature verification module sets the verification operator to the enabled state; the logic parsing and judgment module reads the verification operator in the enabled state, connects the generation link of the logic authorization signal, completes the legality identification of the network layer information flow based on the quantization tracking of local physical phase characteristics, intercepts forged instructions that do not carry microgrid local physical fluctuations, and ensures the determinism of the control actions of the drive node when subjected to implicit negative event record injection and the safe operation of the power grid equipment.

[0041] Example 4: When the system faces on-site deployment pre-deployment debugging conditions such as new edge node access or wide area communication network topology reconstruction, the local state sampling module in the controlled response terminal, in conjunction with the communication scheduling interface, initiates an environmental baseline calibration procedure targeting the maximum evolution delay constraint and associated blocking weight; the test equipment injects a probe command stream containing an increasing timestamp offset gradient into the controlled response terminal, and simultaneously applies a step active power disturbance on the local electrical side; the state evolution prediction module collects the transient trajectory deviation of the access point voltage vector phase under different delay gradients and extracts the corresponding trajectory divergence rate; the logic analysis and judgment module locates the critical communication delay time that causes the trajectory divergence rate to exceed the transient stability limit of the power grid, and based on the information theory channel capacity attenuation theory, the background noise of the physical transmission medium improves the equivalent compression control link stability margin, extracts real-time environmental features through mathematical relationships, and according to the formula... Calculate the environmental degradation factor ,in, The dimensionless coefficient representing the degree of channel degradation is effectively constrained to a closed interval between 0 and 1; S represents the real-time signal-to-noise ratio of the current wide-area link captured by the communication scheduling interface within the silent listening window; C represents the factory-calibrated tolerance constant, the specific value of which is established based on the factory calibration experiment. Different intensities of Gaussian white noise are continuously injected into the device's communication port, and the absolute value of the critical signal-to-noise ratio when the packet loss rate first exceeds the warning line of 0.05% is recorded as a fixed constant. The mathematical model is solved in real time to quantify the difficult-to-measure environmental degradation trend into a boundary contraction command. The product of the critical communication delay duration and the environmental attenuation factor is established as the maximum evolution delay constraint of the physical access point.

[0042] Based on this, the logic parsing and determination module extracts the statistical probability of action conflicts occurring between edge nodes in the local storage sequence under similar delay distributions, and establishes the product of the statistical probability and the preset penalty coefficient as the associated blocking weight; the instruction packet generation module extracts the aforementioned benchmark parameters, and writes the maximum evolution delay constraint and the associated blocking weight into the logical dependency matrix of the programmed instruction packet; when the voltage vector evolution time captured by the controlled response terminal during operation reaches the maximum evolution delay constraint, the logic parsing and determination module issues a blocking signal according to the associated blocking weight, cutting off the pulse output path of the phase synchronization triggering module; this environmental baseline calibration procedure avoids the physical boundary adaptation blind zone caused by static parameter configuration, enabling the smart microgrid system to maintain the timing truncation isolation state of the controlled response nodes under differentiated communication environments and hardware aging conditions.

[0043] Example 5: In the pre-shipment parameter calibration test scenario of the controlled response terminal, the hardware signal conversion hysteresis is physically discrete due to batch differences in components, which may cause the potential risk of deviation in the timing of the synchronization release window opening advance. The test equipment injects test voltage waveforms with a slope ranging from 0.1Hz / s to 5.0Hz / s into the local state sampling module to establish the mapping boundary between the frequency evolution rate and the expected deviation value. The state evolution prediction module collects the measured value of the signal conversion hysteresis triggered by the test voltage waveform and extracts a set of measured value of signal conversion hysteresis corresponding to different frequency change slopes under the reference time resolution constraint of the internal hardware clock.

[0044] The state evolution prediction module calculates the expected deviation value by multiplying the current frequency evolution rate, the square of the measured signal conversion hysteresis, and a preset angle conversion constant. Specifically, the calculation logic is as follows: Using a rated frequency of 50Hz as a reference, the module extracts the frequency change relative to 50Hz within the current sampling period (in Hz / s). This change is multiplied by the inherent 2ms processing delay of the hardware circuit, and then by an angle conversion proportional constant of 0.36. When the frequency change rate is 0.5Hz / s, the calculated expected phase deviation value is 0.36 degrees. The system dynamically adjusts the initial value of the synchronization release window's start counter based on this deviation value. This offsets the lag caused by signal transmission and processing. The state evolution prediction module constructs a discrete key-value pair sequence by matching the expected deviation value obtained from the traversal with the corresponding frequency evolution rate, and writes the discrete key-value pair sequence into the dynamic bias lookup table of the local storage unit. When the controlled response terminal enters the online operation mode, the state evolution prediction module matches the dynamic bias lookup table according to the real-time frequency evolution rate and retrieves the corresponding expected deviation value to correct the opening advance of the synchronization release window. The controlled response terminal relies on the compensation benchmark provided by the dynamic bias lookup table to offset the time delay drift caused by the physical discreteness of the components and maintain the phase alignment state of the intelligent drive node during the transient frequency drop process.

[0045] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the protection scope of the present invention.

Claims

1. A programmed timing control system for driving instructions of an intelligent drive node, characterized in that, The system includes an instruction packet generation module, a controlled response terminal, a status closed-loop feedback module, and a communication scheduling interface. The instruction package generation module is used to generate a programmed instruction package containing instruction action codes, target state trigger parameters and logical dependency matrices based on the power balance scheduling requirements during the microgrid topology transient switching process, and send it to the controlled response terminal through the communication scheduling interface. The controlled response terminal includes a local state sampling module, a logic parsing and determination module, and a phase synchronization triggering module; The local state sampling module is used to capture the voltage vector phase and frequency evolution rate of the access point in real time, and extract the micro-components that characterize the physical evolution trend. The logic parsing and determination module is used to parse the programmed instruction package and use the logic dependency matrix to extract the timing constraint state of the current instruction action relative to the processed instruction sequence, so as to generate a logic authorization signal for blocking or releasing the phase triggering path. The phase synchronization trigger module, in response to the logic authorization signal, uses the predicted deviation value corresponding to the frequency evolution rate to perform dynamic offset compensation on the target state trigger parameters, so as to establish a synchronization release window that is strongly coupled with the physical state of the access point. When the real-time sampled value of the voltage vector phase falls into the synchronization release window and the logic authorization signal generated by the logic parsing and judgment module is in the enabled state, the phase synchronization trigger module outputs a programmable drive pulse corresponding to the instruction action code to the external controlled object.

2. The intelligent drive node's programmable timing control system according to claim 1, characterized in that, The controlled response terminal also includes a state evolution prediction module; the state evolution prediction module is used to use the frequency evolution rate obtained by the local state sampling module to deduce the expected deviation value of the voltage vector phase reaching the target state trigger parameter, and accordingly to dynamically correct the opening advance of the synchronization release window, so as to offset the inherent signal conversion hysteresis of the phase synchronization trigger module and ensure that the transient coincidence accuracy of the programmable drive pulse and the voltage vector phase is maintained within 10μs.

3. The intelligent drive node's programmable timing control system according to claim 1, characterized in that, The logical dependency matrix includes the preceding action fingerprint, the maximum evolution delay constraint, and the associated locking weight; When generating the logic authorization signal, the logic parsing and determination module is used to verify the character-by-character consistency between the feedback state of the completed action and the fingerprint of the preceding action. If the voltage vector evolution time obtained by the local state sampling module exceeds the maximum evolution delay constraint, the logic parsing and determination module generates a blocking signal according to the associated blocking weight to cut off the pulse output path of the phase synchronization triggering module.

4. The intelligent drive node's programmable timing control system for drive instructions according to claim 1, characterized in that, The instruction packet generation module is used to embed power fluctuation feature fingerprints into the programmed instruction packet; the controlled response terminal also includes a feature verification module, which is used to extract low-frequency disturbance envelopes from the voltage signal of the access point and perform cross-correlation comparison between the low-frequency disturbance envelopes and the power fluctuation feature fingerprints to establish a verification operator for verifying the legality of the data source.

5. The intelligent drive node's programmable timing control system for drive instructions according to claim 1, characterized in that, The controlled response terminal also includes a logic topology reconstruction module; the logic topology reconstruction module is used to reorganize the logic structure of the current instruction sequence to be output according to the preset redundant logic paths in the logic dependency matrix when the logic parsing and judgment module determines that the timing constraint state is abnormal, and to map the reorganized instruction onto the physical evolution trajectory represented by the frequency evolution rate.

6. The intelligent drive node's programmable timing control system according to claim 1, characterized in that, The programmed instruction package also includes a steady-state threshold boundary; the steady-state threshold boundary is used to limit the permissible disturbance value of the voltage vector phase and the gradient maximum value of the rate of frequency evolution; when the sampled data acquired by the local state sampling module crosses the steady-state threshold boundary, the phase synchronization trigger module suspends the release of the programmed drive pulse until the sampled data returns to within the steady-state threshold boundary.

7. The intelligent drive node's programmable timing control system for drive instructions according to claim 1, characterized in that, The instruction packet generation module has a high-precision time-sensitive network interface and allocates the transmission path of the programmed instruction packets according to the preset communication load weight; the controlled response terminal is used to perform periodic audits on the lifespan of the programmed instruction packets at the logical level and destroy expired instructions according to the lifespan parameters in the logical dependency matrix.

8. The intelligent drive node's programmable timing control system according to claim 1, characterized in that, The phase synchronization trigger module includes a phase accumulator register and a numerical comparison and determination unit. The phase accumulator register uses the frequency evolution rate to drive the stepping logic of the local virtual phase in real time to simulate the continuous evolution process of the local physical state. The numerical comparison and determination unit is used to trigger a programmable drive pulse when the absolute value of the deviation between the value of the local virtual phase and the target state trigger parameter is less than 0.01 radians.

9. A programmed timing control system for driving instructions of an intelligent driving node according to claim 1, characterized in that, The controlled response terminal is used to upload the measured phase value of the pulse release moment to the instruction packet generation module in real time through the state closed-loop feedback module; the instruction packet generation module establishes the systematic deviation component between the local time base and the physical reference axis of the access point based on the measured phase value, and corrects the target state triggering parameters in the subsequent programmed instruction packets accordingly.

Images