Communication module control method and device, computer equipment and storage medium

Abstract

The invention relates to a communication module control method and device, computer equipment and a storage medium. The method comprises the steps that the current power grid state of the optical storage direct flexible energy system is judged in real time, the communication channel quality is monitored based on a communication channel index, and the power grid state change or interference level sudden change condition is reflected through the current power grid state and a channel quality score. The adaptive target communication parameter is determined based on the current power grid state and the channel quality score, and the communication module is configured according to the target communication parameter, so that adaptive switching of the communication parameter for the communication scene is realized, and the problem that the communication module cannot adjust the parameter in time when the power grid fluctuates frequently or is switched to off-grid operation is solved. And the problems of unstable communication link, increased delay and increased packet loss rate are solved.

Description

Technical Field

[0001] This application relates to the field of communication technology, and in particular to a communication module control method, apparatus, computer equipment, and storage medium. Background Technology

[0002] Photovoltaic-storage-DC-flexible energy systems utilize photovoltaic power generation, energy storage units, DC power distribution, and flexible control technologies to achieve efficient utilization and flexible dispatch of energy in buildings, industrial parks, and other settings. However, existing photovoltaic-storage-DC-flexible systems often employ fixed communication parameter configurations for their communication modules, maintaining unchanged communication frequency, transmission power, modulation method, and coding method throughout system operation. In complex scenarios such as frequent grid fluctuations or switching, high electromagnetic interference environments, and limited off-grid power supply, this fixed strategy can easily lead to communication link instability, increased latency, and excessive energy consumption, impacting the overall stability and efficiency of the system. Summary of the Invention

[0003] This application provides a communication module control method, apparatus, computer equipment, and storage medium to solve the problem that when the power grid fluctuates frequently or switches to off-grid operation, the communication module cannot adjust its parameters in a timely manner, resulting in unstable communication links, increased latency, and increased packet loss rate.

[0004] In a first aspect, this application provides a communication module control method, the method comprising: Acquire grid status identifiers, grid status parameters, and multiple communication channel indicators for a photovoltaic-storage-DC-flexible energy system; The current grid state of the photovoltaic-storage-direct-drive-flexible energy system is determined based on the matching result between the grid state parameters and the reference state parameters corresponding to the grid state identifier. The channel quality score is determined by comprehensively considering multiple communication channel indicators. In the preset hierarchical configuration table, query the corresponding target communication parameters according to the current power grid status and the channel quality score; Configure the communication parameters of the communication module in the photovoltaic-storage-direct-drive-flexible energy system according to the target communication parameters.

[0005] Optionally, determining the current grid state of the photovoltaic-storage-DC-flexible energy system based on the matching result between the grid state parameters and the reference state parameters corresponding to the grid state identifier includes: Based on the power grid state parameters, determine the measured frequency difference between the collected power grid frequency and the rated power grid frequency at different collection times within a preset time period, and the measured voltage difference between the collected AC voltage and the rated AC voltage at different collection times within a preset time period. When the measured frequency difference at different acquisition times is within the preset frequency difference range of the reference state parameters, and the measured voltage difference at different acquisition times is within the preset voltage difference range of the reference state parameters, the power grid state corresponding to the power grid state identifier is determined as the current power grid state, wherein the current power grid state is either grid-connected or off-grid.

[0006] Optionally, after determining the measured frequency difference between the acquired grid frequency and the rated grid frequency at different acquisition times within a preset time period, and the measured voltage difference between the acquired AC voltage and the rated AC voltage at different acquisition times within a preset time period, based on the grid state parameters, the method further includes: When the measured frequency difference corresponding to different acquisition times within the preset duration is outside the preset frequency difference range in the reference state parameters, and / or the measured voltage difference corresponding to different acquisition times is outside the preset voltage difference range in the reference state parameters, the transition state is determined as the current power grid state.

[0007] Optionally, determining the channel quality score based on a combination of multiple communication channel indicators includes: Obtain the weighting coefficients for each of the communication channel indicators; The communication channel indicators are weighted and summed according to their respective weight coefficients to obtain the channel quality score.

[0008] Optionally, after determining the current grid state of the photovoltaic-storage-DC-flexible energy system based on the matching result between the grid state parameters and the reference state parameters corresponding to the grid state identifier, the method further includes: When the current grid state is off-grid, the available battery energy, predicted load power, current communication power consumption, and predicted photovoltaic power of the communication module are obtained; The remaining runtime of the energy storage battery of the communication module is calculated based on the available battery energy, the predicted load power, the current communication power consumption, and the predicted photovoltaic power. The communication mode of the communication module is adjusted according to the remaining runtime.

[0009] Optionally, adjusting the communication mode of the communication module based on the remaining runtime includes: When the remaining runtime is greater than or equal to the first preset duration, the current communication mode is maintained; When the remaining runtime is less than or equal to the second preset runtime, the communication frequency of the communication module is reduced according to the first preset frequency reduction step size, wherein the second preset runtime is less than the first preset runtime; When the remaining runtime is less than or equal to the third preset runtime, the communication frequency of the communication module is reduced according to the second preset frequency reduction step size, and only preset key data is reported during communication reporting. The third preset runtime is less than the second preset runtime, and the second preset frequency reduction step size is greater than the first preset frequency reduction step size.

[0010] Optionally, after calculating the remaining runtime of the energy storage battery of the communication module based on the available battery energy, the predicted load power, the current communication power consumption, and the predicted photovoltaic power, the method further includes: The sleep duty cycle of the communication module is adjusted according to the remaining runtime.

[0011] Secondly, this application provides a communication module control device, the device comprising: The parameter acquisition module is used to acquire the grid status identifier, grid status parameters, and multiple communication channel indicators of the photovoltaic-storage-DC-flexible energy system. The status identification module is used to determine the current grid status of the photovoltaic-storage-direct-drive-flexible energy system based on the matching result between the grid status parameters and the reference status parameters corresponding to the grid status identifier. The channel scoring module is used to determine the channel quality score based on a combination of multiple communication channel indicators. The parameter query module is used to query the corresponding target communication parameters in the preset hierarchical configuration table according to the current power grid status and the channel quality score; The parameter configuration module is used to configure the communication parameters of the communication module in the photovoltaic-storage-direct-flexible energy system according to the target communication parameters.

[0012] Thirdly, this application provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described communication module control method.

[0013] Fourthly, this application also provides a computer storage medium storing computer-executable instructions for executing the above-described communication module control method.

[0014] Compared with the prior art, the technical solution provided in this application has the following advantages: The method provided in this application obtains the grid status identifier, grid status parameters, and multiple communication channel indicators of the photovoltaic-storage-direct-drive-flexible energy system; determines the current grid status of the photovoltaic-storage-direct-drive-flexible energy system based on the matching result between the grid status parameters and the reference status parameters corresponding to the grid status identifier; comprehensively determines the channel quality score based on the multiple communication channel indicators; queries the corresponding target communication parameters in a preset hierarchical configuration table according to the current grid status and the channel quality score; and configures the communication parameters of the communication module in the photovoltaic-storage-direct-drive-flexible energy system according to the target communication parameters.

[0015] Based on the above method, the current grid status of the photovoltaic-storage-DC-flexible energy system is judged in real time, and the communication channel quality is monitored based on communication channel indicators. The current grid status and channel quality score reflect changes in grid status or sudden changes in interference levels. Based on the current grid status and channel quality score, the appropriate target communication parameters are determined, and the communication module is configured according to the target communication parameters. This enables adaptive switching of communication parameters for communication scenarios, solving the problem that the communication module cannot adjust parameters in time when the grid fluctuates frequently or switches to off-grid operation, resulting in unstable communication links, increased latency, and increased packet loss rate. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0019] Figure 1 An application environment diagram of a communication module control method provided in this application embodiment; Figure 2 A flowchart illustrating a communication module control method provided in an embodiment of this application; Figure 3 A flowchart illustrating a communication module control method provided in an embodiment of this application; Figure 4 A flowchart illustrating a communication module control method provided in an embodiment of this application; Figure 5 A flowchart illustrating a communication module control method provided in an embodiment of this application; Figure 6 A structural block diagram of a communication module control device provided in an embodiment of this application; Figure 7 This is a schematic diagram of the internal structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] The following disclosure provides numerous different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the scope of the invention. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0022] Figure 1 This is an application environment diagram of the communication module control method in one embodiment. (Refer to...) Figure 1 This communication module control method is applied to a photovoltaic-storage-DC-flexible energy system. The system includes a communication module 110 and a communication module control device 120. The communication module 110 and control device 120 are connected via wired or wireless means. The communication module 110 is the core component responsible for data transmission between various devices within the system, primarily enabling interconnection between the DC power distribution system and photovoltaic modules, energy storage devices, and other equipment. Specifically, the communication module 110 employs low-power communication technologies such as 5G / RedCap, supports remote monitoring and maintenance, and utilizes M.2 / LCC packaging for modular design.

[0023] In one embodiment, Figure 2 This is a flowchart illustrating a communication module control method in one embodiment, with reference to... Figure 2 A communication module control method is provided. This embodiment mainly applies this method to the above-mentioned... Figure 1Taking the communication module control device 120 as an example, the communication module control method specifically includes the following steps: Step S210: Obtain the grid status identifier, grid status parameters, and multiple communication channel indicators of the photovoltaic-storage-DC-flexible energy system.

[0024] Specifically, the power grid status identifier is obtained through the energy management system. This identifier indicates the flag corresponding to the power grid status of the photovoltaic-storage-DC-flexible energy system, which can be either grid-connected or off-grid. Power grid status parameters are acquired by the local acquisition module and include at least the acquired grid frequency, AC voltage, and voltage harmonic content. Multiple communication channel indicators include received signal strength, signal-to-noise ratio, bit error rate, packet loss rate, and interference intensity.

[0025] Step S220: Determine the current grid state of the photovoltaic-storage-DC-flexible energy system based on the matching result between the grid state parameters and the reference state parameters corresponding to the grid state identifier.

[0026] Specifically, different grid status identifiers correspond to different reference status parameters. The actually collected grid status parameters are matched with the reference status parameters corresponding to the grid status identifiers to determine whether the grid status indicated by the actually collected grid status parameters is consistent with the grid status corresponding to the grid status identifier. If the grid status parameters match the reference status parameters corresponding to the grid status identifiers, then the grid status corresponding to the grid status identifiers is determined to be the current grid status. If the grid status parameters fail to match the reference status parameters corresponding to the grid status identifiers, then the grid status corresponding to the grid status parameters is taken as the current grid status, and the grid status identifier is updated synchronously. The current grid status can be grid-connected or off-grid, and the current grid status is denoted as Mode_Flag.

[0027] Step S230: Determine the channel quality score based on a combination of the multiple communication channel indicators.

[0028] Specifically, the channel quality score can be determined based on the matching results between multiple communication channel indicators and preset scoring criteria. That is, the preset scoring criteria include the correspondence between various communication channel indicators and different channel quality scores. The channel quality score corresponding to multiple communication channel indicators is determined by referring to the preset scoring criteria. Alternatively, the channel quality score can be determined based on the score corresponding to the numerical range of the sum of multiple communication channel indicators. The channel quality score is used to reflect changes in communication channel quality in real time.

[0029] Step S240: In the preset hierarchical configuration table, query the corresponding target communication parameters according to the current power grid status and the channel quality score.

[0030] Specifically, the preset hierarchical configuration table is shown in Table 1 below:

[0031] Table 1 The preset hierarchical configuration table contains the communication parameters corresponding to the communication module 110 under different power grid conditions and channel quality scores. These parameters include modulation scheme, transmit power, communication duty cycle, communication bandwidth, coding scheme, communication frequency, and coding rate. The target communication parameters corresponding to the current power grid condition and channel quality score are obtained by querying the preset hierarchical configuration table.

[0032] For example, refer to Figure 3 When connected to the grid and the channel quality score corresponds to an excellent channel level, 16-QAM modulation, 20dBm transmit power, 500kHz communication bandwidth, and no forward error correction (FEC) are used. When disconnected from the grid and the channel quality score corresponds to a poor channel level, BPSK modulation, 10dBm transmit power, 31.25kHz communication bandwidth, and FEC1 / 3 coding are used. When the grid status or communication channel quality changes, the system immediately retrieves the corresponding communication parameters from the preset classification configuration table and updates the communication parameters via the wireless module firmware API. The switching process has a delay of less than 50ms, enabling seamless adaptation of the communication strategy to changes in operating mode and channel status.

[0033] Step S250: Configure the communication parameters of the communication module 110 in the photovoltaic-storage-direct-flexible energy system according to the target communication parameters.

[0034] Specifically, the communication module 110 is configured according to the target communication parameters, thereby enabling adaptive switching of communication parameters for communication scenarios. Even when the power grid state changes or the interference level changes abruptly, it triggers millisecond-level adaptive switching of communication parameters. Furthermore, it enables rapid retrieval of target communication parameters based on historical communication performance data in a preset hierarchical configuration table, avoiding the need to recalculate each communication parameter individually. This ensures zero interruption and low latency during the communication parameter switching process, solving the problem that the communication module 110 cannot adjust parameters in a timely manner when the power grid fluctuates frequently or when switching to off-grid operation, resulting in unstable communication links, increased latency, and increased packet loss rate.

[0035] Regarding communication stability, the communication parameters of the communication module 110 are dynamically adjusted based on the power grid status and channel quality, effectively reducing the probability of communication interruptions and data loss. Previously, in complex power grid environments or with poor channel quality, communication in the photovoltaic-storage-direct-current-flexible energy system frequently experienced lag or even interruptions, leading to untimely transmission of control commands and affecting the stable operation of the system. However, after precisely configuring parameters according to different power grid conditions and channel scores, the communication success rate has significantly improved, ensuring real-time and accurate data exchange between system components.

[0036] In terms of energy management efficiency, this system enables photovoltaic-storage-direct-current-flexible energy systems to respond more efficiently to grid changes. The system can rapidly switch grid states based on real-time grid status parameters and accurately transmit control commands to various devices via stable and reliable communication links. For example, during peak grid periods, the system can quickly adjust the charging and discharging strategies of energy storage devices, prioritizing power supply to critical loads while feeding excess energy back to the grid, thus optimizing energy allocation. This rapid response capability not only improves energy utilization efficiency but also reduces electricity costs for users.

[0037] From the perspective of system compatibility and scalability, the above method has good adaptability. As the scale of the photovoltaic-storage-direct-drive-flexible energy system continues to expand and new equipment is added, the communication requirements and standards between different devices may differ. By dynamically configuring the communication parameters of the communication module 110, the photovoltaic-storage-direct-drive-flexible energy system can automatically adapt to these changes, ensuring seamless integration of new equipment with the existing system. Simultaneously, for different types of communication channels, such as wireless and wired communication, parameters can be configured according to their characteristics, improving the versatility and stability of the photovoltaic-storage-direct-drive-flexible energy system under different communication environments.

[0038] Furthermore, by collecting and analyzing a large amount of operational data, the photovoltaic-storage-DC-flexible energy system can continuously learn and optimize its communication parameter configuration strategies. For example, by predicting the changing trends of grid conditions and channel quality based on historical operational data, communication parameters can be adjusted in advance, further improving the adaptive capability and intelligence level of the photovoltaic-storage-DC-flexible energy system.

[0039] In one embodiment, determining the current grid state of the photovoltaic-storage-DC-flexible energy system based on the matching result between the grid state parameters and the reference state parameters corresponding to the grid state identifier includes: Based on the power grid state parameters, determine the measured frequency difference between the collected power grid frequency and the rated power grid frequency at different collection times within a preset time period, and the measured voltage difference between the collected AC voltage and the rated AC voltage at different collection times within a preset time period. When the measured frequency difference at different acquisition times is within the preset frequency difference range of the reference state parameters, and the measured voltage difference at different acquisition times is within the preset voltage difference range of the reference state parameters, the power grid state corresponding to the power grid state identifier is determined as the current power grid state, wherein the current power grid state is either grid-connected or off-grid.

[0040] Specifically, the grid status parameters include the collected grid frequency and the collected AC voltage. The reference status parameters corresponding to the grid status identifier include the rated grid frequency, the rated AC voltage, the preset frequency difference range, and the preset voltage difference range. Based on the comparison between the measured frequency difference between the collected grid frequency and the rated grid frequency and the preset frequency difference range, and the comparison between the measured voltage difference between the collected AC voltage and the rated AC voltage and the preset voltage difference range, it is determined whether the grid status corresponding to the grid status parameters is consistent with the grid status corresponding to the grid status identifier, thereby accurately determining the true and reliable current grid status. When the measured frequency difference is within the preset frequency difference range and the measured voltage difference is within the preset voltage difference range, the grid status corresponding to the grid status parameters is determined to be consistent with the grid status corresponding to the grid status identifier, i.e., the current grid status is determined to be either the grid-connected state or the off-grid state corresponding to the grid status identifier.

[0041] For example, the preset frequency difference range corresponding to the grid-connected state is less than or equal to 0.1Hz, and the preset voltage difference range is less than or equal to 5%, meaning that the following must be met in the grid-connected state: ,and ,in, To collect power grid frequency, The rated power grid frequency, To collect AC voltage, This is the rated AC voltage.

[0042] The preset frequency difference range for off-grid status is greater than 0.5Hz, and the preset voltage difference range is greater than 10%. In other words, the following conditions must be met in off-grid status: ,and .

[0043] The power grid status assessment method based on multi-parameter comparison significantly improves the accuracy and reliability of power grid status monitoring. In actual power grid operation, grid frequency and AC voltage are key indicators reflecting stable grid operation. By comparing the measured frequency difference and measured voltage difference with preset ranges, subtle changes in power grid operation can be detected in a timely manner, thus quickly determining whether the power grid is in a normal state. For example, when the power system suffers a sudden fault, such as a short-circuit fault or a large-scale load change, the grid frequency and AC voltage will fluctuate rapidly. At this time, this assessment method can quickly detect that the measured frequency difference and measured voltage difference exceed the preset range, promptly issue an alarm, and remind maintenance personnel to take appropriate measures. This helps to prevent the further escalation of the fault and ensures the safe and stable operation of the power grid.

[0044] Furthermore, this judgment method also possesses good adaptability and scalability. With the continuous expansion of the power grid and the large-scale integration of new energy sources, the operating characteristics of the power grid become more complex. The preset frequency difference range and preset voltage difference range can be dynamically adjusted according to the actual operating conditions of the power grid to adapt to different operating conditions. Simultaneously, more power grid state parameters, such as power factor and harmonic content, can be introduced to further improve the judgment logic of the power grid state.

[0045] In one embodiment, after determining the measured frequency difference between the acquired grid frequency and the rated grid frequency at different acquisition times within a preset time period, and the measured voltage difference between the acquired AC voltage and the rated AC voltage at different acquisition times within a preset time period, based on the grid state parameters, the method further includes: When the measured frequency difference corresponding to different acquisition times within the preset duration is outside the preset frequency difference range in the reference state parameters, and / or the measured voltage difference corresponding to different acquisition times is outside the preset voltage difference range in the reference state parameters, the transition state is determined as the current power grid state.

[0046] Specifically, if at least one measured frequency difference at a given acquisition time is outside the preset frequency difference range corresponding to the power grid status identifier, and / or the measured voltage difference is outside the preset voltage difference range corresponding to the power grid status identifier, it indicates that the power grid status corresponding to the power grid status parameters is inconsistent with the power grid status corresponding to the power grid status identifier. In this case, the current power grid status is determined to be a transitional state. A transitional state is the process by which the power grid changes from one stable state to another, during which various parameters and operating characteristics of the power grid undergo complex changes.

[0047] In power grid monitoring, this technology can capture transitional changes in the power grid state in a timely and accurate manner. Traditional monitoring methods may only focus on steady-state parameters, making it difficult to detect subtle changes during state transitions. However, by explicitly comparing the measured frequency difference and measured voltage difference with preset ranges to determine the transition state, the sensitivity and accuracy of monitoring are greatly improved.

[0048] Once the power grid is determined to be in a transitional state, the control system can automatically adjust control parameters and methods based on real-time monitoring of frequency and voltage differences. For example, when the frequency difference exceeds a preset range, the control system can quickly adjust generator output, increasing or decreasing power generation to balance the power grid's supply and demand, allowing the frequency to return to a stable range as quickly as possible. Simultaneously, for abnormal voltage differences, the system can maintain grid voltage stability by adjusting reactive power compensation devices. This adaptive control strategy based on transitional states significantly improves the power grid's ability to cope with complex operating conditions and reduces the probability of grid faults.

[0049] The characteristic information of transition states provides important clues for fault diagnosis. During transition states, changes in power grid parameters are often correlated with specific fault types. By analyzing the changing patterns of frequency difference and voltage difference during transition states, a fault feature database can be established. When a fault occurs in the power grid, the system can compare the real-time monitored transition state parameters with the fault feature database to quickly and accurately determine the fault type and location. For example, when both frequency difference and voltage difference show abnormal changes simultaneously, and the changing patterns match the characteristics of a specific fault type, the system can quickly locate the fault point, providing accurate information for fault repair, shortening fault repair time, and reducing the impact of the fault on power grid operation.

[0050] In one embodiment, determining the channel quality score based on a combination of multiple communication channel indicators includes: Obtain the weighting coefficients for each of the communication channel indicators; The communication channel indicators are weighted and summed according to their respective weight coefficients to obtain the channel quality score.

[0051] Specifically, different communication channel indicators correspond to different weighting coefficients, and the sum of the weighting coefficients of each communication channel indicator is 1. Multiple communication channel indicators include received signal strength, signal-to-noise ratio, bit error rate, packet loss rate, and interference intensity. For example, the weighting coefficient for received signal strength is 0.25, the weighting coefficient for signal-to-noise ratio is 0.3, the weighting coefficient for bit error rate is 0.2, the weighting coefficient for packet loss rate is 0.15, and the weighting coefficient for interference intensity is 0.1.

[0052] The formula for calculating the channel quality score is: .

[0053] in, Weighting coefficients corresponding to different communication channel indicators. The received signal strength is a normalized value. This is the normalized value of the signal-to-noise ratio. This is the normalized value of the bit error rate. This is the normalized value of the packet loss rate. The index value is the result of normalization of the interference intensity.

[0054] This calculation method comprehensively considers multiple communication channel indicators, including received signal strength, signal-to-noise ratio, bit error rate, packet loss rate, and interference intensity, enabling a more comprehensive assessment of channel quality. Compared to single-indicator evaluation, this multi-indicator approach avoids evaluation biases caused by fluctuations in a single factor, thus providing a more accurate basis for communication system optimization. By assigning different weight coefficients to different communication channel indicators, this calculation method offers high flexibility. In different application scenarios, the weights of each indicator can be adjusted according to actual needs to adapt to different communication environments and service requirements. For example, in communication scenarios with high real-time requirements, the weights of packet loss rate and bit error rate can be appropriately increased to ensure communication reliability.

[0055] By using normalized index values ​​for calculation, different types of indices can be compared and synthesized on the same scale, resulting in a quantitative channel quality score. This score can intuitively reflect the channel's quality status.

[0056] In actual communication processes, the impact of different indicators on channel quality may change with time and environmental variations. Therefore, a dynamic weight adjustment mechanism can be introduced to automatically adjust the weight coefficients of each indicator based on real-time communication data and environmental information, thereby improving the accuracy and adaptability of channel quality assessment.

[0057] With the continuous development of communication technology, new communication channel indicators may emerge, such as spectral efficiency and signal bandwidth utilization. These new indicators could be considered for inclusion in the calculation of channel quality scores to further improve the comprehensiveness and accuracy of the assessment.

[0058] In one embodiment, refer to Figure 4 and Figure 5 After determining the current grid state of the photovoltaic-storage-direct-drive-flexible energy system based on the matching result between the grid state parameters and the reference state parameters corresponding to the grid state identifier, the method further includes: When the current grid state is off-grid state, the available battery energy, predicted load power, current communication power consumption and predicted photovoltaic power of the communication module 110 are obtained; The remaining runtime of the energy storage battery of the communication module 110 is calculated based on the available battery energy, the predicted load power, the current communication power consumption, and the predicted photovoltaic power. The communication mode of the communication module 110 is adjusted according to the remaining runtime.

[0059] Specifically, when the photovoltaic-storage-direct-current-flexible energy system is in an off-grid state, the communication module 110 needs to rely on the energy storage battery for power. In order to extend the working time of the communication module 110, it is necessary to determine the remaining operating time of the energy storage battery. The remaining operating time of the energy storage battery is predicted based on the available energy of the battery, the predicted load power, the current communication power consumption, and the predicted photovoltaic power. The formula for calculating the remaining operating time is as follows: .

[0060] in, The available energy of the battery (Wh). To predict load power, To predict photovoltaic power, This represents the current communication power consumption. The communication mode of the communication module 110 is adjusted according to the remaining operating time of the energy storage battery to extend the continuous operating time of the communication module 110.

[0061] By comprehensively considering available battery energy, predicted load power, current communication power consumption, and predicted photovoltaic power, the remaining runtime of energy storage batteries can be predicted, enabling precise control over the battery's status. In terms of accuracy, this multi-parameter fusion prediction method significantly improves prediction accuracy compared to single-parameter or simple estimation methods. For example, traditional methods that estimate remaining runtime solely based on battery charge percentage do not consider the dynamic changes in load power and photovoltaic power, easily leading to significant deviations between predicted results and actual conditions. Real-time tracking of various parameters can more accurately reflect the actual usable runtime of energy storage batteries under complex operating conditions.

[0062] Adjusting the communication mode of the communication module 110 according to the remaining runtime of the energy storage battery can significantly extend the continuous operating time of the communication module 110. In terms of communication mode adjustment strategy, different communication frequencies and data transmission volumes can be set according to the remaining runtime. When the remaining runtime is long, the communication module 110 can maintain a higher communication frequency and a larger data transmission volume to meet the system's demand for real-time data. For example, when the energy storage battery has sufficient remaining power and the load power is low, the communication module 110 can transmit data once per second to ensure that the system can obtain various operating parameters in a timely manner.

[0063] When the remaining runtime is short, the communication module 110 reduces the communication frequency and data transmission volume to decrease power consumption. For example, it reduces the communication frequency to once per minute and only transmits critical operational data, which effectively reduces communication power consumption and extends the operating time of the communication module 110. Through this dynamic adjustment, the communication module 110 can maintain operation as much as possible even when the energy storage battery has limited power, ensuring the system's communication function.

[0064] Adjusting the communication mode can also improve the reliability and stability of the photovoltaic-storage-DC-flexible energy system in off-grid mode. During the continuous operation of the communication module 110, the system can acquire real-time information such as the operating status and load power of the energy storage battery, promptly identifying potential problems and taking corresponding measures. For example, if it is predicted that the remaining operating time of the energy storage battery is too short, the system can issue an early warning and take measures such as reducing unnecessary loads to ensure the safe operation of the energy storage battery and the stable power supply of the system.

[0065] In one embodiment, refer to Figure 5 The step of adjusting the communication mode of the communication module 110 according to the remaining runtime includes: When the remaining runtime is greater than or equal to the first preset duration, the current communication mode is maintained; When the remaining runtime is less than or equal to the second preset runtime, the communication frequency of the communication module 110 is reduced according to the first preset frequency reduction step size, wherein the second preset runtime is less than the first preset runtime; When the remaining runtime is less than or equal to the third preset runtime, the communication frequency of the communication module 110 is reduced according to the second preset frequency reduction step size, and only preset key data is reported during communication reporting. The third preset runtime is less than the second preset runtime, and the second preset frequency reduction step size is greater than the first preset frequency reduction step size.

[0066] Specifically, when the remaining runtime is greater than or equal to the first preset runtime, such as 8 hours, it indicates that the remaining power of the energy storage battery is sufficient, and the current communication mode can be maintained, that is, the normal reporting communication frequency is maintained, such as reporting once every 10 seconds.

[0067] When the remaining runtime is less than or equal to the second preset runtime, such as when the remaining runtime is less than or equal to 6 hours, it indicates that the remaining runtime is moderate and the communication frequency needs to be reduced. That is, the communication frequency is reduced according to the first preset frequency reduction step size, such as reducing it to report once every 20 seconds.

[0068] When the remaining runtime is less than or equal to the third preset runtime, such as 4 hours or less, indicating insufficient remaining runtime, only preset key data is reported, and the communication frequency is further reduced, i.e., the communication frequency is reduced according to the second preset frequency reduction step size, such as reducing it to once every 5 minutes. By reducing the communication frequency and filtering the communication data types, the energy consumption of the communication module 110 is reduced, thereby extending the usable time of the energy storage battery.

[0069] The first, second, and third preset durations can be customized to suit different application scenarios, and the first and second preset frequency reduction steps can also be customized based on the application scenario. Furthermore, the customizable settings for the first, second, and third preset durations, as well as the first and second preset frequency reduction steps, make this strategy highly flexible and adaptable. Different application scenarios have varying operational and communication requirements for energy storage batteries. By customizing these parameters, the communication mode can be precisely adjusted according to actual conditions to achieve optimal energy consumption control.

[0070] By gradually reducing the communication frequency, the energy consumption of the communication module 110 can be precisely controlled under different power levels. When the power is sufficient, maintaining a higher communication frequency ensures the real-time performance and integrity of system data, enabling the monitoring center to obtain various parameters of the energy storage battery in a timely manner, thus providing strong support for the stable operation of the system. As the power gradually decreases, the communication frequency is gradually reduced, avoiding unnecessary energy waste in communication and effectively extending the operating time of the energy storage battery.

[0071] Regarding data filtering, the strategy of reporting only preset key data further optimizes communication energy consumption. When the remaining runtime is insufficient, excessive data transmission not only increases the energy consumption of the communication module 110 but may also affect the system's response speed. By filtering and reporting preset key data, the monitoring center can obtain the core operating parameters of the energy storage battery while reducing data transmission volume and lowering communication energy consumption.

[0072] In one embodiment, refer to Figure 4 After calculating the remaining runtime of the energy storage battery of the communication module 110 based on the available battery energy, the predicted load power, the current communication power consumption, and the predicted photovoltaic power, the method further includes: The sleep duty cycle of the communication module 110 is adjusted according to the remaining runtime.

[0073] Specifically, based on the mapping relationship between the remaining runtime and the sleep duty cycle, the sleep duty cycle of the communication module 110 is adjusted as the remaining runtime gradually decreases, so as to gradually extend the sleep time of the communication module 110, shorten the wake-up time of the communication module 110, further reduce the power consumption of the communication module 110, extend the communication time of the communication module 110, that is, extend the battery life of the photovoltaic-storage-direct-flexible energy system.

[0074] By dynamically adjusting the dormancy duty cycle of the communication module 110 based on the remaining runtime, the operational stability of the photovoltaic-storage-DC-flexible energy system under different power states can be improved. When the system has sufficient power and a long remaining runtime, the communication module 110 can maintain a relatively high wake-up frequency, ensuring that the system can interact with the outside world in a timely and efficient manner, enabling precise control and management of energy. For example, it can acquire real-time data such as solar panel power generation and the charging and discharging status of energy storage devices, so as to optimize energy allocation and improve energy utilization efficiency based on actual conditions.

[0075] As system power gradually decreases and remaining runtime shortens, increasing the sleep time of communication module 110 can effectively reduce the overall power consumption of the system. This not only reduces unnecessary energy consumption but also avoids problems such as device overheating caused by frequent communication, extending the service life of communication module 110 and related equipment. Simultaneously, because communication module 110 consumes very little power during sleep, the system can maintain communication functionality for a certain period even in low-power conditions, ensuring the safe and stable operation of the system.

[0076] From a long-term operational perspective, this technology of dynamically adjusting the dormant duty cycle can also reduce system operation and maintenance costs. On the one hand, it reduces energy waste and lowers energy procurement costs; on the other hand, it extends equipment lifespan and reduces the frequency of equipment replacement and maintenance. Furthermore, this technology has good compatibility and scalability, and can be easily applied to photovoltaic-storage-DC-flexible energy systems of different scales and types, providing strong support for promoting the intelligent and sustainable development of energy systems.

[0077] During the continuous optimization phase, communication status and energy consumption data are fed back to the local optimization module to update the weight coefficients of different channel indicators and the preset hierarchical configuration table. This enables the communication scheduling method to continuously adapt and optimize with changes in the environment and historical data, thereby ensuring the high reliability and energy efficiency of the photovoltaic-storage-direct current-flexible system under different operating modes.

[0078] Figures 2 to 5 This is a flowchart illustrating the communication module control method in one embodiment. It should be understood that, although... Figures 2 to 5The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figures 2 to 5 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0079] In one embodiment, such as Figure 6 As shown, a communication module control device 120 is provided, comprising: The parameter acquisition module 310 is used to acquire the grid status identifier, grid status parameters, and multiple communication channel indicators of the photovoltaic-storage-DC-flexible energy system. The state recognition module 320 is used to determine the current grid state of the photovoltaic-storage-direct-flexible energy system based on the matching result between the grid state parameters and the reference state parameters corresponding to the grid state identifier. The channel scoring module 330 is used to comprehensively determine the channel quality score based on multiple communication channel indicators. The parameter query module 340 is used to query the corresponding target communication parameters in the preset hierarchical configuration table according to the current power grid status and the channel quality score; The parameter configuration module 350 is used to configure the communication parameters of the communication module 110 in the photovoltaic-storage-direct-flexible energy system according to the target communication parameters.

[0080] In one embodiment, the state recognition module 320 is further configured to: Based on the power grid state parameters, determine the measured frequency difference between the collected power grid frequency and the rated power grid frequency at different collection times within a preset time period, and the measured voltage difference between the collected AC voltage and the rated AC voltage at different collection times within a preset time period. When the measured frequency difference at different acquisition times is within the preset frequency difference range of the reference state parameters, and the measured voltage difference at different acquisition times is within the preset voltage difference range of the reference state parameters, the power grid state corresponding to the power grid state identifier is determined as the current power grid state, wherein the current power grid state is either grid-connected or off-grid.

[0081] In one embodiment, the state recognition module 320 is further configured to: When the measured frequency difference corresponding to different acquisition times within the preset duration is outside the preset frequency difference range in the reference state parameters, and / or the measured voltage difference corresponding to different acquisition times is outside the preset voltage difference range in the reference state parameters, the transition state is determined as the current power grid state.

[0082] In one embodiment, the channel scoring module 330 is further configured to: Obtain the weighting coefficients for each of the communication channel indicators; The communication channel indicators are weighted and summed according to their respective weight coefficients to obtain the channel quality score.

[0083] In one embodiment, the parameter configuration module 350 is further configured to: When the current grid state is off-grid state, the available battery energy, predicted load power, current communication power consumption and predicted photovoltaic power of the communication module 110 are obtained; The remaining runtime of the energy storage battery of the communication module 110 is calculated based on the available battery energy, the predicted load power, the current communication power consumption, and the predicted photovoltaic power. The communication mode of the communication module 110 is adjusted according to the remaining runtime.

[0084] In one embodiment, the parameter configuration module 350 is further configured to: When the remaining runtime is greater than or equal to the first preset duration, the current communication mode is maintained; When the remaining runtime is less than or equal to the second preset runtime, the communication frequency of the communication module 110 is reduced according to the first preset frequency reduction step size, wherein the second preset runtime is less than the first preset runtime; When the remaining runtime is less than or equal to the third preset runtime, the communication frequency of the communication module 110 is reduced according to the second preset frequency reduction step size, and only preset key data is reported during communication reporting. The third preset runtime is less than the second preset runtime, and the second preset frequency reduction step size is greater than the first preset frequency reduction step size.

[0085] In one embodiment, the parameter configuration module 350 is further configured to: The sleep duty cycle of the communication module 110 is adjusted according to the remaining runtime.

[0086] like Figure 7As shown, this application provides a computer device including a processor 711, a communication interface 712, a memory 713, and a communication bus 714, wherein the processor 711, the communication interface 712, and the memory 713 communicate with each other through the communication bus 714. Memory 713 is used to store computer programs; When the processor 711 executes the program stored in the memory 713, it implements the communication module control method provided in any of the foregoing method embodiments.

[0087] The memory and processor in the aforementioned electronic devices communicate with each other via a communication bus and a communication interface. The communication bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0088] The memory may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0089] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0090] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0091] According to another aspect of the embodiments of this application, a computer program product or computer program is also provided, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the steps of any of the above embodiments.

[0092] In one embodiment, the communication module control device 120 provided in this application can be implemented as a computer program, and the computer program can be implemented in the form of, for example, Figure 7 The computer device shown operates on this device. The computer device's memory can store the various program modules that make up the communication module control device 120, for example, Figure 6 The parameter acquisition module 310, status recognition module 320, channel scoring module 330, parameter query module 340, and parameter configuration module 350 are shown. The computer program comprised of these modules causes the processor to execute the communication module control methods of the various embodiments of this application described in this specification.

[0093] Figure 7 The computer device shown can be used as follows Figure 6 The parameter acquisition module 310 in the communication module control device 120 shown acquires the grid status identifier, grid status parameters, and multiple communication channel indicators of the photovoltaic-storage-direct-drive-flexible energy system. The computer device can determine the current grid status of the photovoltaic-storage-direct-drive-flexible energy system based on the matching result between the grid status parameters and the reference status parameters corresponding to the grid status identifier via the status identification module 320. The computer device can determine a channel quality score based on a comprehensive analysis of the multiple communication channel indicators via the channel scoring module 330. The computer device can query the corresponding target communication parameters in a preset hierarchical configuration table according to the current grid status and the channel quality score via the parameter query module 340. The computer device can configure the communication parameters of the communication module 110 in the photovoltaic-storage-direct-drive-flexible energy system according to the target communication parameters via the parameter configuration module 350.

[0094] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the communication module control method provided in any of the foregoing method embodiments.

[0095] It is understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions described herein, or combinations thereof.

[0096] For software implementation, the techniques described herein can be implemented by units that perform the functions described herein. The software code can be stored in memory and executed by a processor. The memory can be implemented in the processor or external to the processor.

[0097] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0098] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0099] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0100] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0101] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0102] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software plus a general-purpose hardware platform, or of course, using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0103] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also mean including the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a particular order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that alternatives or substitutions may be used.

[0104] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A communication module control method, characterized in that, The method includes: Acquire grid status identifiers, grid status parameters, and multiple communication channel indicators for a photovoltaic-storage-DC-flexible energy system; The current grid state of the photovoltaic-storage-direct-drive-flexible energy system is determined based on the matching result between the grid state parameters and the reference state parameters corresponding to the grid state identifier. The channel quality score is determined by comprehensively considering multiple communication channel indicators. In the preset hierarchical configuration table, query the corresponding target communication parameters according to the current power grid status and the channel quality score; Configure the communication parameters of the communication module in the photovoltaic-storage-direct-drive-flexible energy system according to the target communication parameters.

2. The method according to claim 1, characterized in that, Determining the current grid state of the photovoltaic-storage-DC-flexible energy system based on the matching result between the grid state parameters and the reference state parameters corresponding to the grid state identifier includes: Based on the power grid state parameters, determine the measured frequency difference between the collected power grid frequency and the rated power grid frequency at different collection times within a preset time period, and the measured voltage difference between the collected AC voltage and the rated AC voltage at different collection times within a preset time period. When the measured frequency difference at different acquisition times is within the preset frequency difference range of the reference state parameters, and the measured voltage difference at different acquisition times is within the preset voltage difference range of the reference state parameters, the power grid state corresponding to the power grid state identifier is determined as the current power grid state, wherein the current power grid state is either grid-connected or off-grid.

3. The method according to claim 2, characterized in that, After determining the measured frequency difference between the acquired grid frequency and the rated grid frequency at different acquisition times within a preset time period, and the measured voltage difference between the acquired AC voltage and the rated AC voltage at different acquisition times within a preset time period, based on the grid state parameters, the method further includes: When the measured frequency difference corresponding to different acquisition times within the preset duration is outside the preset frequency difference range in the reference state parameters, and / or the measured voltage difference corresponding to different acquisition times is outside the preset voltage difference range in the reference state parameters, the transition state is determined as the current power grid state.

4. The method according to claim 1, characterized in that, The process of determining the channel quality score based on a combination of multiple communication channel indicators includes: Obtain the weighting coefficients for each of the communication channel indicators; The communication channel indicators are weighted and summed according to their respective weight coefficients to obtain the channel quality score.

5. The method according to claim 1, characterized in that, After determining the current grid state of the photovoltaic-storage-direct-drive-flexible energy system based on the matching result between the grid state parameters and the reference state parameters corresponding to the grid state identifier, the method further includes: When the current grid state is off-grid, the available battery energy, predicted load power, current communication power consumption, and predicted photovoltaic power of the communication module are obtained; The remaining runtime of the energy storage battery of the communication module is calculated based on the available battery energy, the predicted load power, the current communication power consumption, and the predicted photovoltaic power. The communication mode of the communication module is adjusted according to the remaining runtime.

6. The method according to claim 5, characterized in that, The step of adjusting the communication mode of the communication module according to the remaining runtime includes: When the remaining runtime is greater than or equal to the first preset duration, the current communication mode is maintained; When the remaining runtime is less than or equal to the second preset runtime, the communication frequency of the communication module is reduced according to the first preset frequency reduction step size, wherein the second preset runtime is less than the first preset runtime; When the remaining runtime is less than or equal to the third preset runtime, the communication frequency of the communication module is reduced according to the second preset frequency reduction step size, and only preset key data is reported during communication reporting. The third preset runtime is less than the second preset runtime, and the second preset frequency reduction step size is greater than the first preset frequency reduction step size.

7. The method according to claim 5, characterized in that, After calculating the remaining runtime of the energy storage battery of the communication module based on the available battery energy, the predicted load power, the current communication power consumption, and the predicted photovoltaic power, the method further includes: The sleep duty cycle of the communication module is adjusted based on the remaining runtime.

8. A communication module control device, characterized in that, The device includes: The parameter acquisition module is used to acquire the grid status identifier, grid status parameters, and multiple communication channel indicators of the photovoltaic-storage-DC-flexible energy system. The status identification module is used to determine the current grid status of the photovoltaic-storage-direct-drive-flexible energy system based on the matching result between the grid status parameters and the reference status parameters corresponding to the grid status identifier. The channel scoring module is used to determine the channel quality score based on a combination of multiple communication channel indicators. The parameter query module is used to query the corresponding target communication parameters in the preset hierarchical configuration table according to the current power grid status and the channel quality score; The parameter configuration module is used to configure the communication parameters of the communication module in the photovoltaic-storage-direct-flexible energy system according to the target communication parameters.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

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