Energy storage micro-grid parameter linkage control method and system based on operation mode

Abstract

The embodiment of the invention provides an energy storage micro-grid parameter linkage control method and system based on an operation mode, and belongs to the technical field of automatic control. The method comprises the following steps: acquiring operation mode request information and multi-device operation constraint information, and performing unified expression processing on the multi-device operation constraint information to generate a cross-device constraint vector; executing feasible region calculation and consistency verification based on the cross-device constraint vector, and generating a target parameter set corresponding to the operation mode request information when verification is passed; issuing the target parameter set to each device and receiving confirmation feedback information; and when the confirmation feedback information satisfies a preset synchronization condition, switching each device to a parameter state corresponding to the target parameter set in the same time window. According to the scheme of the invention, the risk of parameter conflict and desynchrony in the transient state of operation mode switching is eliminated, and the operation stability of the energy storage micro-grid is improved.

Description

Technical Field

[0001] This invention relates to the field of automatic control technology, and more specifically to a method and system for parameter linkage control of energy storage microgrids based on operating modes. Background Technology

[0002] During the operation of energy storage microgrids, the system typically needs to frequently switch between peak-valley mode, photovoltaic priority mode, and grid-connected and off-grid states. Taking an industrial park microgrid as an example, the system operates in photovoltaic priority grid-connected mode during the day when photovoltaic output is high, switches to peak-valley dispatch mode during nighttime peak load, and needs to perform off-grid operation during maintenance or when the upstream grid experiences an anomaly. The switching of the above operating modes is not a single control action, but involves the synchronous adjustment of parameters of multiple devices such as energy storage converters, energy storage battery management units, and grid connection / off-grid execution units, including power limits, current limits, state of charge boundaries, and grid connection / off-grid trigger conditions.

[0003] In existing technologies, each device is typically configured with parameters independently based on its own control logic. The operating mode exists only as a single identifier or switching quantity, without establishing a definite correspondence between the operating mode and the parameters of multiple devices. During the transient phase of mode switching, some devices may have switched to the new parameters while others remain in an intermediate operating state with the original parameters. This can lead to problems such as power command conflicts, current exceeding limits, grid connection malfunctions, or protection false triggers. Furthermore, the operating constraints of different devices come from different sources and have inconsistent expressions, lacking a cross-device consistency verification mechanism, making it difficult to detect hidden conflicts in a timely manner during the parameter generation phase.

[0004] Therefore, how to achieve unified expression of operating constraints of multiple devices, consistency verification of parameter combinations, and synchronous switching of parameter states during the switching of operating modes of energy storage microgrids, and avoid the operational risks caused by transient mismatch during mode switching, has become an urgent technical problem to be solved. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for parameter linkage control of energy storage microgrids based on operating modes, so as to at least solve the problem of unstable operation caused by inconsistent parameters of multiple devices during the switching of operating modes.

[0006] To achieve the above objectives, the first aspect of the present invention provides a parameter linkage control method for an energy storage microgrid based on an operating mode. The method includes: acquiring operating mode request information and multi-device operating constraint information, and performing unified expression processing on the multi-device operating constraint information to generate a cross-device constraint vector; performing feasible domain calculation and consistency verification based on the cross-device constraint vector, and generating a target parameter set corresponding to the operating mode request information when the verification passes; distributing the target parameter set to each device and receiving confirmation feedback information; and when the confirmation feedback information meets a preset synchronization condition, causing each device to switch to the parameter state corresponding to the target parameter set within the same time window.

[0007] Optionally, the operation mode request information includes an operation mode identifier, an operation mode version identifier, and an operation mode effective time identifier; the operation mode identifier is used to indicate the target operation mode type currently requested for switching, the operation mode version identifier is used to indicate the parameter template version corresponding to the operation mode, and the operation mode effective time identifier is used to determine the synchronization effective time of the target parameter set; the multi-device operation constraint information includes power constraint information, current constraint information, state of charge constraint information, and grid connection / disconnection condition constraint information; the power constraint information is used to limit the allowable range of device output power, the current constraint information is used to limit the allowable range of device charging and discharging current, the state of charge constraint information is used to limit the allowable operating boundary of the energy storage unit, and the grid connection / disconnection condition constraint information is used to limit the grid operation conditions that need to be met for grid connection / disconnection switching.

[0008] Optionally, the multi-device operation constraint information is uniformly expressed and processed to generate a cross-device constraint vector, including: mapping the constraint parameters of different dimensions in the multi-device operation constraint information to interval boundary parameters in a unified physical quantity form, generating corresponding interval constraint terms; classifying and encoding the interval constraint terms according to the control object to form standardized constraint units containing constraint type identifiers, upper limit values, lower limit values, and source identifiers; and combining and arranging the standardized constraint units based on the control object attributes of each standardized constraint unit to construct a cross-device constraint vector for performing feasible region calculation.

[0009] Optionally, the rules for performing feasible domain calculation and consistency verification are as follows: the interval constraint items in the cross-device constraint vector are grouped according to the control object, and the minimum value of the upper limit and the maximum value of the lower limit corresponding to the same control object are taken to generate the effective operating interval of the control object; when the lower limit of the effective operating interval is less than or equal to the upper limit of the effective operating interval, the effective operating interval is determined to be valid; otherwise, a constraint conflict is determined to exist; when the effective operating interval is valid, the target control instruction corresponding to the operating mode request information is matched with the effective operating interval, and the consistency verification is determined to be successful when the target control instruction is located within the effective operating interval.

[0010] Optionally, upon successful verification, a target parameter set corresponding to the operation mode request information is generated, including: determining a preset parameter set for the operation mode based on the operation mode request information, and extracting a parameter subset corresponding to each controlled object from the preset parameter set for the operation mode; performing boundary pruning processing on the parameter subset based on the effective operation range of each controlled object to generate a constraint-consistent parameter subset that satisfies the effective operation range; merging each constraint-consistent parameter subset according to the controlled object to generate the target parameter set, and writing a parameter version identifier and an effective time identifier for synchronous switching to the target parameter set.

[0011] Optionally, the process of sending the target parameter set to each device and receiving confirmation feedback includes: splitting the target parameter set into corresponding parameter subsets according to device type, and writing a parameter version identifier, an effective time identifier, and an integrity check code into each parameter subset to generate a parameter message for the corresponding device; sending the corresponding parameter message to each device so that the parameter message is written into the shadow parameter area on each device side, and each device performs a validity check on the parameter message based on its local operating status; and receiving confirmation feedback information returned by each device after the validity check is passed, wherein the confirmation feedback information includes the parameter version identifier, the integrity check code, and the local check result identifier.

[0012] Optionally, when the confirmation feedback information meets the preset synchronization conditions, each device switches to the parameter state corresponding to the target parameter set within the same time window, including: performing a consistency comparison on the parameter version identifier in the confirmation feedback information returned by each device, and performing a matching verification on the integrity check code; when the local verification result identifiers returned by each device all meet the preset verification pass conditions and the parameter version identifiers are consistent and the integrity check codes are matched, it is determined that the preset synchronization conditions are met; when the preset synchronization conditions are met, a unified activation command is sent to each device; after receiving the unified activation command, each device writes the target parameter set in the shadow parameter area into the running parameter area to complete the parameter state switch.

[0013] Optionally, the method further includes: after each device completes the parameter state switching of the target parameter set, obtaining the operating status information of each device, and comparing the operating status information with a preset operating criterion; when the comparison result does not meet the preset operating criterion, performing rollback processing or degradation processing; wherein, the rollback processing is to restore the operating parameter area of ​​each device to the parameter set before the switching; the degradation processing is to regenerate a degradation parameter set of the power limit range based on the current operating constraints and switch each device to the parameter state corresponding to the degradation parameter set.

[0014] A second aspect of the present invention provides a parameter linkage control system for an energy storage microgrid based on an operating mode. The system includes: a data acquisition unit, used to acquire operating mode request information and multi-device operating constraint information, and to perform unified expression processing on the multi-device operating constraint information to generate a cross-device constraint vector; a verification unit, used to perform feasible domain calculation and consistency verification based on the cross-device constraint vector, and to generate a target parameter set corresponding to the operating mode request information when the verification passes; a parameter distribution unit, used to distribute the target parameter set to each device and receive confirmation feedback information; and a switching unit, used to enable each device to switch to the parameter state corresponding to the target parameter set within the same time window when the confirmation feedback information meets a preset synchronization condition.

[0015] On the other hand, the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described method for linkage control of energy storage microgrid parameters based on operating mode.

[0016] Through the above technical solution, the present invention expresses the operating constraint information of multiple devices in a unified manner and generates cross-device constraint vectors, so that the operating boundaries of different devices can be calculated in the feasible domain and verified for consistency under the same computing framework, thereby eliminating the risk of conflict between parameter combinations from the source. After the verification is passed, a target parameter set is generated and synchronously switched in combination with the confirmation feedback mechanism, so that each device completes the parameter status update within the same time window, avoiding the intermediate state of mixed old and new parameters during the operation mode switching process, thereby improving the stability and control consistency of the operation mode switching process of the energy storage microgrid.

[0017] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0018] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of the steps of a method for linkage control of energy storage microgrid parameters based on operating mode provided by one embodiment of the present invention; Figure 2 This is a detailed flowchart of step S30 of the energy storage microgrid parameter linkage control method based on operating mode provided in one embodiment of the present invention. Figure 3 This is a detailed flowchart of step S40 of the energy storage microgrid parameter linkage control method based on operating mode provided in one embodiment of the present invention. Figure 4 This is a system structure diagram of a parameter linkage control system for energy storage microgrids based on operating modes, provided by one embodiment of the present invention; Figure 5 This is an internal structural diagram of a computer device provided in one embodiment of the present invention. Detailed Implementation

[0019] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0020] like Figure 1 As shown in the figure, the energy storage microgrid parameter linkage control method based on operating mode provided by the embodiments of the present invention includes: Step S10: Obtain the operation mode request information and multi-device operation constraint information, and perform unified expression processing on the multi-device operation constraint information to generate a cross-device constraint vector.

[0021] Specifically, the operation mode request information includes an operation mode identifier, an operation mode version identifier, and an operation mode effective time identifier; the operation mode identifier is used to indicate the target operation mode type currently requested for switching, the operation mode version identifier is used to indicate the parameter template version corresponding to the operation mode, and the operation mode effective time identifier is used to determine the synchronization effective time of the target parameter set; the multi-device operation constraint information includes power constraint information, current constraint information, state of charge constraint information, and grid connection / disconnection condition constraint information; the power constraint information is used to limit the allowable range of device output power, the current constraint information is used to limit the allowable range of device charging and discharging current, the state of charge constraint information is used to limit the allowable operating boundary of the energy storage unit, and the grid connection / disconnection condition constraint information is used to limit the grid operation conditions that need to be met for grid connection / disconnection switching.

[0022] In this embodiment of the invention, during the operation of the energy storage microgrid, an operation mode request message is issued by the dispatching side or the upper-level control system to drive the system into a specific operating state. The operation mode request message includes an operation mode identifier, an operation mode version identifier, and an operation mode effective time identifier. The operation mode identifier is used to determine the type of operation mode that needs to be switched to. For example, in a park microgrid, peak-valley mode is triggered when the load enters peak hours, and off-grid mode is triggered when the upper-level grid is under maintenance. This identifier directly participates in the generation of the subsequent target parameter set.

[0023] The operating mode version identifier indicates the version of the parameter template used. In actual operation, the same operating mode may generate multiple versions as the operating strategy is optimized. The version identifier ensures that the generated parameter set is consistent with the current strategy, avoiding the cross-application of different version parameters. The operating mode effective time identifier determines the synchronous effective time of the target parameter set. In scenarios of grid connection / off-grid switching or sudden load changes, each device performs parameter status updates based on this time identifier under a unified time base, thereby controlling the switching sequence.

[0024] The multi-device operation constraint information comes from the real-time operating boundaries of the energy storage converter, energy storage battery management unit, and grid connection / disconnection execution unit. The power constraint information reflects the current allowable output power range of the device. The current constraint information reflects the allowable range of charging and discharging current. The state of charge constraint information reflects the allowable operating range of the energy storage unit under the current temperature and lifespan conditions. The grid connection / disconnection condition constraint information includes grid connection / disconnection determination conditions such as frequency deviation, voltage deviation, and phase angle difference.

[0025] During the operation mode switching process, the above-mentioned constraint information is uniformly incorporated into the parameter linkage control process. Through the comprehensive processing of each constraint boundary, a target parameter set matching the current operation mode is generated, so that the power control of the energy storage converter, the safety boundary of the battery management unit, and the switching conditions of the grid connection and disconnection execution unit are coordinated and effective under the same control framework, reducing the risk of transient inconsistency caused by the dispersed parameter sources.

[0026] Specifically, the multi-device operation constraint information is uniformly expressed and processed to generate a cross-device constraint vector, including: mapping the constraint parameters of different dimensions in the multi-device operation constraint information to interval boundary parameters in a unified physical quantity form, generating corresponding interval constraint terms; classifying and encoding the interval constraint terms according to the control object to form standardized constraint units containing constraint type identifiers, upper limit values, lower limit values, and source identifiers; and combining and arranging the standardized constraint units based on the control object attributes of each standardized constraint unit to construct a cross-device constraint vector for performing feasible region calculation.

[0027] In this embodiment of the invention, in the actual operating environment of an energy storage microgrid, the operating constraint information reported by each device comes from different sources and has different forms of expression. If it is directly used in parameter calculation, it is easy to cause inconsistencies in dimensions or misjudgments of boundaries during the calculation process. To ensure the accuracy of subsequent feasible domain calculation, this embodiment performs unified expression processing on the operating constraint information of the multiple devices. The unified expression processing is not limited to a certain fixed algorithm, but rather converts constraint parameters with different dimensions into a unified physical quantity form that can be used for interval calculations.

[0028] For example, the upper limit of charging and discharging current reported by the energy storage battery management unit can be converted into an equivalent power boundary by combining it with the DC bus voltage. The instantaneous power limit reported by the energy storage converter can directly form the output power range boundary. Furthermore, the frequency deviation, voltage deviation, and other judgment conditions of the off-grid execution unit can be mapped into calculable allowable range thresholds. Through the above mapping process, corresponding range constraint terms are generated. Each range constraint term is expressed in the form of "upper limit value - lower limit value" for easy unified calculation.

[0029] Based on this, the interval constraint items are categorized and coded according to the controlled object. The controlled object can be an energy storage converter, an energy storage battery management unit, or a grid-connected / off-grid execution unit, or a logic control unit related to power regulation. During the categorization and coding process, a constraint type identifier, upper limit value, lower limit value, and source identifier are written for each constraint item. The source identifier is used to characterize the generating device or generating logic of the constraint item, and can trace the specific source when constraint conflicts occur later, thereby providing a basis for degradation or rollback processing.

[0030] Based on the control object attributes of each standardized constraint unit, the standardized constraint units are combined and arranged to construct a cross-device constraint vector. This cross-device constraint vector is not limited to a specific data structure in vector form; its core purpose is to form a unified set of constraints that can participate in feasible region calculation. In this way, the operational boundaries originally scattered across different devices are integrated into a single computational framework, providing a unified foundation for subsequent feasible region calculation and consistency verification. Simultaneously, the protection scope is limited to cover any implementation that maps multi-device constraints to a unified computable interval and combines them.

[0031] Step S20: Perform feasible domain calculation and consistency verification based on the cross-device constraint vector, and generate a target parameter set corresponding to the running mode request information when the verification passes.

[0032] Specifically, the rules for performing feasible region calculation and consistency verification are as follows: the interval constraint items in the cross-device constraint vector are grouped according to the control object, and the minimum value of the upper limit and the maximum value of the lower limit corresponding to the same control object are taken to generate the effective operating interval of the control object; when the lower limit of the effective operating interval is less than or equal to the upper limit of the effective operating interval, the effective operating interval is determined to be valid; otherwise, a constraint conflict is determined to exist; when the effective operating interval is valid, the target control instruction corresponding to the operating mode request information is matched with the effective operating interval, and the consistency verification is determined to be successful when the target control instruction is located within the effective operating interval.

[0033] Furthermore, upon successful verification, a target parameter set corresponding to the operation mode request information is generated, including: determining a preset parameter set for the operation mode based on the operation mode request information, and extracting a parameter subset corresponding to each controlled object from the preset parameter set for the operation mode; performing boundary pruning processing on the parameter subset based on the effective operation range of each controlled object to generate a constraint-consistent parameter subset that satisfies the effective operation range; merging each constraint-consistent parameter subset according to the controlled object to generate the target parameter set, and writing a parameter version identifier and an effective time identifier for synchronous switching to the target parameter set.

[0034] In this embodiment of the invention, the reason why the switching of the operating mode of the energy storage microgrid is prone to problems is often not due to a single device parameter being written incorrectly, but rather because a set of parameters from multiple devices that are simultaneously effective mutually restrict each other at the boundary. The usable control space obtained by the controller during the transient phase is fragmented by constraints from different sources, ultimately resulting in the target control command falling within the infeasible region or at the edge of the feasible region, causing the control loop to repeatedly hit the limit. Here, the multi-device operating constraint information is uniformly expressed as a cross-device constraint vector. This is to ensure that the controller calculates the feasible region clearly, identifies conflicts, and cleans up the boundaries before generating the target parameter set, and then writes the results back into the target parameter set, forming a parameter state that can be switched synchronously.

[0035] Cross-device constraint vectors can be denoted as ,in, Indicates the first There are several interval constraint terms. Each interval constraint term uses a uniform interval boundary expression: in, The control object identifier is used to indicate the control object to which the constraint belongs. The control object identifier value can correspond to an energy storage converter, an energy storage battery management unit, a grid-connected or off-grid execution unit, or an abstract control object inside the controller. The constraint type identifier is used to indicate the physical meaning of the constraint item. The constraint type identifier can cover power constraint information, current constraint information, state of charge constraint information, grid connection and disconnection condition constraint information, etc. This is the lower limit value. These are upper limits, and all are interval boundary parameters under a unified physical quantity form. This serves as a source identifier, indicating which device or constraint generation logic generated the constraint to locate the source in case of a conflict.

[0036] During feasible region calculation, the controller groups constraints for the same controlled object. For any controlled object... Define its corresponding set of constraint terms. For sets The controller finds the intersection boundary of the constraints in the control object by taking the minimum upper limit and the maximum lower limit, thus obtaining the effective operating range of the control object. in, Represents the controlled object The lower limit of the effective operating range under the combined effect of the current operating mode request information and the multi-device operating constraint information. Represents the controlled object The upper limit of the effective operating range. For constraint types Consistent and unified physical quantities, such as unified power quantities, unified current quantities, unified state of charge quantities, and unified quantities for grid connection and disconnection conditions, are used. The specific physical quantity adopted is determined by... Sure.

[0037] Whether an effective operating range exists is determined by assessing the feasibility of the range boundaries. ,when At that time, determine the controlled object The effective operating range is established; when At that time, determine the controlled object There are constraint conflicts. Here, conflict is not an abstract concept, but rather the result that the intersection of computable intervals is empty. The degree of conflict can be expressed as... Metrics facilitate the generation of subsequent degradation parameter sets or the tracing of conflict sources. To bring conflict sources into an interpretable framework, the controller can further record implementation details. Sources and implementation of constraints Source of constraints: in, The index of the constraint term that makes the lower limit take the maximum value. The constraint index that minimizes the upper limit.

[0038] This allows us to identify the key sources of the conflict. This information can be used by the controller to log in the engineering implementation or trigger more granular conflict handling logic. This is an implementation-level enhancement; the protection scope does not require logging this index, but logging the index does not change the feasible domain rule of taking the minimum lower bound and the maximum lower bound.

[0039] Furthermore, in addition to carrying the operating mode identifier, operating mode version identifier, and operating mode effective time identifier, the operating mode request information also corresponds to a target control command on the controller side. This target control command is denoted as... ,in, The set of control objects participating in the linkage. For control objects The expected control command values ​​to be achieved in this operating mode. Different controlled objects. It can correspond to different physical quantities, such as power control objects. The target power command and the off-grid condition control object. This refers to either a target condition command or a target threshold command. To ensure consistency, the controller implements a range matching check. in, This is an indicator function that takes the value 1 when the condition is true and 0 otherwise. Represents the controlled object The consistency verification results of each controlled object are combined to obtain the verification judgment quantity at the operating mode level. in, The total decision value for consistency verification is defined as follows: when all controlled objects satisfy interval matching, ,otherwise .

[0040] This composition method embodies the engineering logic that if any controlled object fails to meet the requirements, the entire system will fail, thus meeting the safety requirements for multi-device parameter linkage switching. In engineering implementation, the controller can also be expressed using equivalent logical conjunction, and the protection scope is not limited by the composition form. The key is that consistency verification is completed based on the valid operating range.

[0041] To avoid the risk of switching edges not being explicitly exposed due to using only binary results, the controller can also calculate a consistency margin to assess the distance between the target control command and the boundary: in, For control objects The margin, when When the value is close to 0, it indicates that the target control command is close to the boundary. Subsequent generation of the target parameter set requires more careful boundary trimming, or monitoring whether the physical quantity touches the boundary after synchronization switching. This margin calculation is an optional enhancement and does not change the basic rules of the feasible region and consistency verification.

[0042] Furthermore, after the consistency check passes, the controller needs to trim the preset parameter set for the operating mode into a feasible target parameter set. The preset parameter set for the operating mode can be denoted as: in, This refers to the mode index corresponding to the run mode identifier, or the mode version index bound to the run mode version identifier. The first parameter in the preset parameter set for the operating mode One parameter entry, The number of parameter entries.

[0043] To make the trimming process calculable and traceable, the controller establishes a mapping relationship between each parameter entry and the controlled object. ,in, Indicates parameter entries Belongs to the controlled object The parameter subset. From this, we can obtain the parameter subset corresponding to each controlled object: The core of boundary clipping is to push the adjustable values ​​in the parameter entries into the effective operating range. For any controlled object... Key control parameters, denoted by symbols This represents its nominal value; the cropped value is denoted as... The trimming rule is written in the form of a truncation operator: The truncation operator is defined as follows: in, The values ​​to be cropped correspond to , and These are the lower limit and the upper limit, respectively. and , For example, a smooth step function. . This is the smoothness coefficient, used to control the smoothness of the cut edges.

[0044] The significance of using the above form is that the truncation is not merely a hard cutoff, but also avoids the jitter of discrete components within the controller caused by hard parameter jumps during switching in engineering implementation. The protection range does not require a smooth cutoff; the hard cutoff form is also a type of boundary truncation processing.

[0045] To further explain the scheme, in one specific implementation, at the parameter entry level, the controller... Write back to the constraint consistency parameter subset of the corresponding control object to form the constraint consistency parameter subset: in, The operator is rewritten for the parameters to write the clipped key parameter values ​​into the corresponding fields of the parameter subset, while keeping other non-clipped fields unchanged. This operator reflects the clipping of boundary-related parameters, while other parameters still follow the engineering common sense of the preset parameter set of the running mode. At the implementation level, It can be a replacement of parameter message fields or an update of the parameter table entries inside the controller; the scope of protection is not limited to its data structure.

[0046] Finally, the controller unifies the constraint parameter subsets of all controlled objects and generates the target parameter set: And write the parameter version identifier and effective time identifier for synchronous switching to the target parameter set, denoted as , respectively. and This forms a data entity that can be distributed: in, For the set of target parameters corresponding to the runtime mode request information, This is a parameter version identifier used for device-side verification and consistency comparison. This serves as an effective time identifier, used by the device side to perform the handover within a unified time window.

[0047] Step S30: Send the target parameter set to each device and receive confirmation feedback information.

[0048] Specifically, after the target parameter set is generated, the controller splits the target parameter set according to device type and forms corresponding parameter messages, which are then sent to each device. Each device receives the parameter message, writes it into its shadow parameter area, and performs a validity check based on its local operating status. Upon successful verification, it returns confirmation feedback information containing the parameter version identifier, integrity check code, and local verification result identifier. This mechanism achieves cross-device consistency confirmation of parameters before they officially take effect, providing a reliable foundation for subsequent synchronous switching. Specifically, as shown... Figure 2Step S30 includes the following steps: Step S301: Split the target parameter set into corresponding parameter subsets according to the device type, and write a parameter version identifier, effective time identifier and integrity check code for each parameter subset to generate the parameter message for the corresponding device.

[0049] Specifically, after the target parameter set is generated on the controller side, it is structurally split according to the pre-established device mapping relationship. The splitting rules are consistent with the control object division. For example, power control parameters and slope limit parameters related to the energy storage converter are classified into the first parameter subset, current limit parameters and state-of-charge boundary parameters related to the energy storage battery management unit are classified into the second parameter subset, and grid connection criterion parameters related to the grid connection / disconnection execution unit are classified into the third parameter subset.

[0050] A standardized parameter version identifier is written to each parameter subset to identify the operating mode version from which the current parameter originates. Simultaneously, an effective time identifier from the operating mode request information is written as the time base for subsequent synchronization switching. An integrity checksum is calculated based on the parameter subset content and is used to verify the integrity of the message during transmission. The final result is a parameter message structure containing a parameter data area, a version area, a time area, and a checksum area, enabling targeted distribution to the corresponding devices.

[0051] Step S302: Send the corresponding parameter message to each device so that the parameter message is written into the shadow parameter area on each device side and each device performs a validity check on the parameter message based on its local operating status.

[0052] Specifically, the parameter message generated in step S301 is sent to the corresponding device via the communication interface. After receiving the parameter message, the device does not directly overwrite the running parameter area, but instead writes the parameter message into the shadow parameter area. The shadow parameter area serves as an independent storage area for the running parameter area, used to store a set of target parameters that have not yet taken effect, thereby preventing the current operating state from being affected when parameter transmission is incomplete or errors exist.

[0053] After the device completes the writing to the shadow parameter area, it performs a validity check based on the local operating status. The validity check includes a consistency judgment on the parameter version identifier, a matching verification of the integrity check code, and a range matching to see if the key parameter values ​​fall within the device's currently allowed operating range. If any check fails, the device rejects the parameter message and retains the original operating parameter area unchanged.

[0054] Step S303: After the legality verification is passed, receive the confirmation feedback information returned by each device. The confirmation feedback information includes the parameter version identifier, the integrity verification code, and the local verification result identifier.

[0055] Specifically, after the device completes the writing and validity verification of the shadow parameter area, it generates confirmation feedback information and sends it to the controller. This confirmation feedback information includes a parameter version identifier, indicating that the device has loaded the corresponding version of the parameter message; an integrity check code, used to compare and confirm with the check code on the controller side; and a local verification result identifier, indicating the final result of the device-side validity verification. Upon receiving confirmation feedback information from each device, the controller performs a consistency comparison of the parameter version identifier and integrity check code, and determines whether the conditions for subsequent synchronization are met based on the local verification result identifier. This confirmation feedback process allows the controller to understand the pre-loading status of each device before the parameters actually take effect, avoiding inconsistencies during the operation mode switching process caused by abnormal parameter loading on individual devices.

[0056] Step S40: When the confirmation feedback information meets the preset synchronization conditions, each device switches to the parameter state corresponding to the target parameter set within the same time window.

[0057] Specifically, after the confirmation feedback information returned by each device meets the synchronization judgment conditions, a unified activation command is triggered based on the activation time identifier in the operation mode request information. Upon receiving the unified activation command, each device writes the target parameter set from the shadow parameter area into the operation parameter area, completing the parameter state switch within the same time window. This ensures synchronized parameter updates across multiple devices during operation mode switching, avoiding an intermediate state where old and new parameters are mixed and effective. Specifically, such as... Figure 3 Step S40 includes the following steps: Step S401: Perform a consistency comparison of the parameter version identifier in the confirmation feedback information returned by each device, and perform a matching verification of the integrity check code.

[0058] Specifically, after each device completes the writing of the shadow parameter area and local validity verification, the confirmation feedback information is collected for subsequent synchronization handover determination. To avoid inconsistencies in the target parameter set versions loaded by different devices or tampering of parameter messages during transmission, it is necessary to centrally verify the parameter version identifier and integrity check code in the confirmation feedback information.

[0059] The consistency comparison of parameter version identifiers refers to matching the parameter version identifiers returned by each device with the parameter version identifiers written when the target parameter set was generated, and comparing whether the version identifiers returned by different devices are completely consistent, so as to exclude the situation where a device loads an old version of the parameter or loads an incorrect version of the parameter.

[0060] Integrity check code matching verification refers to verifying the consistency between the integrity check code returned by the device and the integrity check code calculated during the parameter message generation stage, confirming that the parameter data has not changed during transmission and writing. Only when the version identifier is consistent and the integrity check code matches is it determined that there is no version conflict or data anomaly during the loading process of the parameter message on the device side, thus providing a reliable prerequisite for subsequent unified implementation.

[0061] Step S402: When the local verification result identifiers returned by each device all meet the preset verification pass conditions, the parameter version identifiers are consistent, and the integrity check codes match, it is determined that the preset synchronization conditions are met.

[0062] Specifically, after completing the parameter version identifier consistency comparison and integrity check code matching verification in step S401, a comprehensive judgment is also required based on the local verification result identifiers returned by each device. The local verification result identifiers are generated by the device side after completing the legality verification in the shadow parameter area. They are used to characterize whether the parameter values ​​meet the internal constraints of the device's current operating state. For example, whether the current output power of the energy storage converter allows switching to the target power range, whether the energy storage battery management unit allows the use of new current limits under the current state of charge and temperature conditions, and whether the off-grid execution unit is in a state that accepts the new on-grid / off-grid criteria.

[0063] The synchronization condition can be determined to be met only when the local verification result identifiers returned by each device all indicate that the verification has passed, and the parameter version identifiers are consistent and the integrity check codes match. This determination is not a simple logical superposition, but rather ensures that the three types of information form a closed loop under the same parameter entity: the version identifier ensures that the same set of parameters is loaded, the integrity check code ensures that the content of the loaded parameters has not changed, and the local verification result identifier ensures that the loaded parameters are acceptable under the current device state.

[0064] For example, in a scenario where peak-valley mode switches to off-grid mode, even if all devices return feedback information indicating consistent version and matching checksums, if the energy storage battery management unit returns a failed verification result due to low state of charge, then the synchronization condition should not be considered met. This comprehensive judgment mechanism can cover implementation methods with different numbers of devices and different combinations of controlled objects. As long as the establishment of the synchronization condition depends on three types of information simultaneously—local verification result identifier, parameter version identifier, and integrity checksum—it falls within the protection scope of this solution.

[0065] Step S403: When the preset synchronization conditions are met, send a unified activation command to each device.

[0066] Specifically, after confirming that the confirmation feedback information returned by each device meets the synchronization judgment conditions, a unified activation command is sent to each device. This unified activation command uses the activation time identifier in the operation mode request information as the trigger benchmark, and is used to notify each device to switch the target parameter set in the shadow parameter area to the operation parameter area. Through this unified triggering mechanism, each device performs parameter status updates within the same time window, ensuring consistent parameter activation timing during the operation mode switching process.

[0067] Step S404: After receiving the unified activation instruction, each device writes the target parameter set in the shadow parameter area into the running parameter area to complete the parameter state switch.

[0068] Specifically, after each device receives the unified activation command, at the corresponding local time, it writes the entire set of target parameters that have completed validity checks from the shadow parameter area into the running parameter area. The shadow parameter area and the running parameter area are logically independent; the former stores parameters to be activated, while the latter supports the real-time calculation of the current control algorithm. By switching the parameter area after the unified activation command is triggered, the parameter status update action is represented as an atomic write operation within the device, avoiding the situation where some parameters are updated while others retain their old values.

[0069] In engineering implementation, the writing process can employ either a complete parameter overwrite method or a version switching method, such as pointer switching or parameter index updates, allowing the running parameter area to directly reference the data structures in the shadow parameter area. As long as the complete parameter set replacement is guaranteed at the effective time, and the replacement process externally manifests as a consistent parameter state update, it falls within the protection scope of this scheme. Through this mechanism, the power control parameters of the energy storage converter, the current limit parameters of the energy storage battery management unit, and the criterion parameters of the grid connection / off-grid execution unit can be switched within the same time window, thereby ensuring the continuity and stability of the operating mode transition process.

[0070] Preferably, the method further includes: after each device completes the parameter state switching of the target parameter set, acquiring the operating status information of each device, and comparing the operating status information with a preset operating criterion; when the comparison result does not meet the preset operating criterion, performing rollback processing or degradation processing; wherein, the rollback processing is to restore the operating parameter area of ​​each device to the parameter set before the switching; the degradation processing is to regenerate a degradation parameter set of the power limit range based on the current operating constraints and switch each device to the parameter state corresponding to the degradation parameter set.

[0071] In this embodiment of the invention, after each device completes the parameter state switching of the target parameter set, it enters a controlled operation monitoring phase. The operation status information may include the actual output power, current, and voltage values ​​of the energy storage converter, the state of charge and temperature values ​​of the energy storage battery management unit, and the grid connection / off-grid status indicators of the grid connection / off-grid execution unit. By collecting the above operation status information, it can be determined whether the target parameter set can be stably maintained under the current actual operating environment.

[0072] The preset operating criteria can be derived from the effective operating range in the cross-device constraint vector, or a judgment threshold can be established based on the target control commands before and after the switch. For example, in the scenario of switching from photovoltaic priority mode to off-grid mode, if the output power of the energy storage converter continuously approaches the boundary of the effective operating range for a short period of time after the switch, or the state of charge value of the energy storage battery management unit is lower than the lower limit of the allowable range, then the current parameter combination is considered to have a risk under actual operating conditions. At this time, rollback processing or degradation processing is performed.

[0073] The rollback process is applicable to situations where obvious anomalies occur in the initial stage of switching. It involves restoring the operating parameter range to the parameter set before the switch, allowing the system to return to a stable state under the original operating mode. The degradation process is applicable to situations where constraint boundaries are approaching but not yet severely exceeded. It involves recalculating the current operating constraints to generate a degradation parameter set for the power limit range, such as compressing the upper power limit or adjusting the current limit, allowing the system to operate within more conservative boundaries.

[0074] The aforementioned rollback or degradation mechanism is not limited to specific threshold forms or monitoring time window lengths. As long as the parameter state switch is completed, the operating status information is compared with the criteria, and parameter recovery or boundary contraction is triggered under abnormal conditions, it falls within the protection scope of this scheme. Through this design, the operation mode switch not only has a synchronous activation mechanism but also has post-verification and risk mitigation capabilities, further enhancing the safety of energy storage microgrid operation.

[0075] In another possible implementation, within a preset monitoring window after the parameter state switch is completed, the control unit applies a set of amplitude-controlled micro-disturbance power commands to the energy storage converter. The amplitude of the micro-disturbance power commands does not exceed a preset proportion of the current effective operating range, and the changes in output power, current, and bus voltage before and after the disturbance are recorded. Based on the collected disturbance response data, a disturbance sensitivity index is calculated, such as the ratio between the output power change rate and the bus voltage fluctuation amplitude, or the mapping relationship between the power command increment and the current response increment. When the disturbance sensitivity index exceeds a preset range, it is determined that the stability margin of the current target parameter set in this operating mode is insufficient.

[0076] If the stability margin is deemed insufficient, a set of enhanced constraint parameters is generated, the power slope limit parameter or current upper limit parameter is further reduced, and the parameter synchronization switch is re-executed while keeping the operating mode identifier unchanged.

[0077] In another possible implementation, after each device completes the parameter state switch, each device generates a parameter state fingerprint value based on the target parameter set in the operating parameter area, according to a preset field order. The parameter state fingerprint value can be obtained by concatenating key fields in the operating parameter area and performing a mapping operation. Subsequently, each device feeds back the generated parameter state fingerprint value to the system side. The system side compares the parameter state fingerprint values ​​from different devices and verifies their consistency with the baseline fingerprint value calculated from the original target parameter set. If the parameter state fingerprint value of any device is inconsistent with the baseline fingerprint value, it is determined that there is a risk that the parameter has not fully taken effect or has been abnormally overwritten. When an inconsistency in the parameter state fingerprint is detected, it can trigger a rewriting to the shadow parameter area and re-execution of the unified activation command, or directly perform a rollback process.

[0078] Example: A microgrid for energy storage in an industrial park includes a 500kW rated power energy storage converter, a 1MWh energy storage battery system, and grid-connected / off-grid execution units. The system is currently operating in a photovoltaic-first grid-connected mode. Real-time operating data is as follows: photovoltaic output 380kW, park load 520kW, energy storage converter output 140kW, battery management unit reporting a state of charge of 32%, and DC-side voltage 720V. At this point, a request for off-grid operation mode is received, requiring a switch from grid-connected to off-grid mode.

[0079] After obtaining the operation mode request information and multi-device operation constraint information, the system uniformly expresses the multi-device operation constraints. The rated power range of the energy storage converter is [-500kW, 500kW], and the allowable charging and discharging current range of the energy storage battery management unit under the current state of charge is [-70A, 90A]. Converting the current constraints to power constraints, the upper limit power is approximately 720V×90A×0.97≈440kW, and the lower limit power is approximately 720V×(-70A)×0.97≈-489.6kW. The safe power boundary of the grid-connected execution unit under off-grid operation is [0kW, 420kW]. The above constraints are uniformly processed to form a cross-device constraint vector.

[0080] A feasible region calculation is performed on the power control object, with the upper limit set to the minimum value of 420kW and the lower limit set to the maximum value of 0kW, generating an effective operating range [0kW, 420kW]. The target control command in off-grid mode is the load minus the photovoltaic output, i.e., 520kW - 380kW = 140kW. Since 140kW is within the effective operating range, the consistency check passes.

[0081] Subsequently, a target parameter set is generated. Assuming the off-grid mode has a preset maximum output power of 480kW, this implementation method trims its boundaries based on the effective operating range, resulting in a maximum output power of 420kW, and writes a parameter version identifier and an effective time identifier into it. The target parameter set is then split into parameter subsets corresponding to the energy storage converter, energy storage battery management unit, and on-grid / off-grid execution unit, and distributed to each device for writing into its shadow parameter area. After each device completes its legality verification and returns confirmation feedback, a unified parameter state switch is triggered when the effective time arrives.

[0082] Compared to the traditional method of independent switching for each device, where the energy storage converter might initially output 480kW, leading to instantaneous current over-limit and triggering protection actions, this implementation method completes feasible domain trimming during parameter generation. The maximum output at the moment of switching is limited to 420kW, and the measured maximum current fluctuation is controlled within 4% of the rated value, with no overcurrent protection action occurring. The bus voltage fluctuation amplitude is reduced from 6% to 2%. Therefore, this application's solution effectively eliminates the risk of parameter conflicts during transient operation mode switching through unified expression of cross-device constraints, feasible domain calculation, and synchronous activation mechanisms, thereby improving the operational stability of the energy storage microgrid.

[0083] like Figure 4 As shown, this invention provides a parameter linkage control system for an energy storage microgrid based on an operating mode. The system includes: a data acquisition unit, used to acquire operating mode request information and multi-device operating constraint information, and to perform unified expression processing on the multi-device operating constraint information to generate a cross-device constraint vector; a verification unit, used to perform feasible domain calculation and consistency verification based on the cross-device constraint vector, and to generate a target parameter set corresponding to the operating mode request information when the verification passes; a parameter distribution unit, used to distribute the target parameter set to each device and receive confirmation feedback information; and a switching unit, used to enable each device to switch to the parameter state corresponding to the target parameter set within the same time window when the confirmation feedback information meets a preset synchronization condition.

[0084] The present invention also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described method for linkage control of energy storage microgrid parameters based on operating mode.

[0085] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 5As shown, the computer device includes a processor A01, a network interface A02, a memory (not shown), and a database (not shown) connected via a system bus. The processor A01 provides computing and control capabilities. The memory includes internal memory A03 and a non-volatile storage medium A06. The non-volatile storage medium A06 stores an operating system B01, a computer program B02, and a database (not shown). The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 stored in the non-volatile storage medium A06. The network interface A02 is used for communication with external terminals via a network connection. When the computer program B02 is executed by the processor A01, it implements a mode-based parameter linkage control method for energy storage microgrids.

[0086] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0087] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details described above. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe the various possible combinations.

[0088] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the embodiments of the present invention, they should also be regarded as the content disclosed by the embodiments of the present invention.

Claims

1. A parameter linkage control method for energy storage microgrids based on operating modes, characterized in that, The method includes: Obtain operation mode request information and multi-device operation constraint information, and perform unified expression processing on the multi-device operation constraint information to generate cross-device constraint vectors; Based on the cross-device constraint vector, feasible domain calculation and consistency verification are performed, and when the verification passes, a target parameter set corresponding to the running mode request information is generated. The target parameter set is sent to each device and confirmation feedback information is received. When the confirmation feedback information meets the preset synchronization conditions, each device switches to the parameter state corresponding to the target parameter set within the same time window.

2. The method for parameter linkage control of energy storage microgrids based on operating modes according to claim 1, characterized in that, The operation mode request information includes the operation mode identifier, the operation mode version identifier, and the operation mode effective time identifier; The running mode identifier is used to indicate the target running mode type currently requested to be switched to; the running mode version identifier is used to indicate the parameter template version corresponding to the running mode; and the running mode effective time identifier is used to determine the synchronization effective time of the target parameter set. The multi-device operation constraint information includes power constraint information, current constraint information, state of charge constraint information, and grid connection / disconnection condition constraint information; The power constraint information is used to limit the allowable range of the device's output power, the current constraint information is used to limit the allowable range of the device's charging and discharging current, the state of charge constraint information is used to limit the allowable operating boundary of the energy storage unit, and the grid connection / disconnection condition constraint information is used to limit the grid operating conditions that need to be met for grid connection / disconnection switching.

3. The method for parameter linkage control of energy storage microgrids based on operating modes according to claim 2, characterized in that, The multi-device operational constraint information is uniformly expressed and processed to generate a cross-device constraint vector, including: The constraint parameters of different dimensions in the multi-device operation constraint information are mapped to interval boundary parameters in a unified physical quantity form to generate corresponding interval constraint terms. The interval constraint items are categorized and coded according to the controlled object to form standardized constraint units containing constraint type identifier, upper limit value, lower limit value and source identifier; The standardized constraint units are combined and arranged based on the control object attributes of each standardized constraint unit to construct a cross-device constraint vector for performing feasible domain calculation.

4. The method for parameter linkage control of energy storage microgrids based on operating modes according to claim 1, characterized in that, The rules for performing feasible region calculation and consistency verification are as follows: The interval constraint terms in the cross-device constraint vector are grouped according to the control object, and the minimum value of the upper limit and the maximum value of the lower limit corresponding to the same control object are taken to generate the effective operating range of the control object; The effective operating range is determined to be valid when the lower limit of the effective operating range is less than or equal to the upper limit of the effective operating range; otherwise, a constraint conflict is determined to exist. If the valid operating range is established, the target control instruction corresponding to the operating mode request information is matched with the valid operating range. When the target control instruction is within the valid operating range, the consistency check is deemed to have passed.

5. The method for parameter linkage control of energy storage microgrids based on operating modes according to claim 1, characterized in that, Upon successful verification, a set of target parameters corresponding to the operation mode request information is generated, including: Based on the operation mode request information, a preset parameter set for the operation mode is determined, and a parameter subset corresponding to each controlled object is extracted from the preset parameter set for the operation mode. Based on the effective operating range of each controlled object, the parameter subset is subjected to boundary pruning to generate a constraint-consistent parameter subset that satisfies the effective operating range; The target parameter set is generated by merging the subsets of consistent constraint parameters according to the control object, and the parameter version identifier and effective time identifier for synchronous switching are written into the target parameter set.

6. The method for parameter linkage control of energy storage microgrids based on operating modes according to claim 1, characterized in that, The target parameter set is sent to each device and confirmation feedback information is received, including: The target parameter set is split into corresponding parameter subsets according to the device type, and a parameter version identifier, effective time identifier and integrity check code are written for each parameter subset to generate the parameter message for the corresponding device. Send corresponding parameter messages to each device so that each device writes the parameter messages into the shadow parameter area and performs a validity check on the parameter messages based on its local operating status. After the legality verification is passed, the system receives confirmation feedback information from each device. The confirmation feedback information includes the parameter version identifier, the integrity verification code, and the local verification result identifier.

7. The method for parameter linkage control of energy storage microgrids based on operating modes according to claim 6, characterized in that, When the confirmation feedback information meets the preset synchronization conditions, each device switches to the parameter state corresponding to the target parameter set within the same time window, including: The parameter version identifiers in the confirmation feedback information returned by each device are compared for consistency, and the integrity check codes are matched and verified. When the local verification result identifiers returned by each device all meet the preset verification pass conditions, the parameter version identifiers are consistent, and the integrity check codes match, it is determined that the preset synchronization conditions are met. When the preset synchronization conditions are met, a unified activation command is sent to each device; Upon receiving the unified activation command, each device writes the target parameter set from the shadow parameter area into the running parameter area to complete the parameter state switch.

8. The method for parameter linkage control of energy storage microgrids based on operating modes according to claim 1, characterized in that, The method further includes: After each device completes the parameter state switching of the target parameter set, the operating status information of each device is obtained, and the operating status information is compared with the preset operating criteria. If the comparison result does not meet the preset operating criteria, a rollback or downgrade process is performed; wherein... The rollback process involves restoring the operating parameter area of ​​each device to the parameter set before the switchover. The degradation process involves regenerating a set of degradation parameters for the power limitation range based on the current operating constraints and switching each device to the parameter state corresponding to the set of degradation parameters.

9. A parameter linkage control system for an energy storage microgrid based on operating modes, characterized in that, The system includes: The acquisition unit is used to acquire operation mode request information and multi-device operation constraint information, and to perform unified expression processing on the multi-device operation constraint information to generate cross-device constraint vectors. The verification unit is used to perform feasible domain calculation and consistency verification based on the cross-device constraint vector, and generate a target parameter set corresponding to the running mode request information when the verification passes. The parameter distribution unit is used to distribute the target parameter set to each device and receive confirmation feedback information; The switching unit is used to enable each device to switch to the parameter state corresponding to the target parameter set within the same time window when the confirmation feedback information meets the preset synchronization conditions.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the energy storage microgrid parameter linkage control method based on any one of claims 1-8.

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