Energy storage power distribution network intelligent dispatching method, device, equipment, medium and program product

Abstract

This invention relates to a method, apparatus, equipment, medium, and program product for intelligent dispatching of energy storage distribution networks. The method includes collecting three-phase voltage data from multiple nodes along the power supply direction of the energy storage distribution network; identifying voltage deviation types based on the three-phase voltage data; activating corresponding power regulation modes according to the voltage deviation types and controlling the energy storage converter of the energy storage distribution network to inject disturbance signals to obtain equivalent impedance parameters; determining corresponding voltage compensation target values ​​according to the voltage deviation types; calculating the phase power regulation amount of the energy storage converter based on the voltage compensation target value and the equivalent impedance parameters; and controlling the energy storage converter to perform voltage compensation for the energy storage distribution network based on the phase power regulation amounts. This invention can effectively improve the accuracy of voltage compensation in energy storage distribution networks by obtaining equivalent impedance parameters and calculating phase power regulation amounts based on voltage deviation types.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage distribution network intelligent dispatching method, device, equipment, medium and program products. Background Technology

[0002] As the penetration rate of distributed energy in distribution networks continues to increase, the role of energy storage systems in mitigating voltage fluctuations and improving power quality is becoming increasingly prominent. An energy storage distribution network is a collection of distributed energy storage systems and low-voltage distribution lines, with distribution areas as the basic unit. However, existing dispatching methods mostly rely on fixed voltage and power sensitivity matrices to calculate power regulation, and typically employ a uniform three-phase power regulation method, failing to differentiate between different voltage deviation types such as voltage exceeding upper and lower limits and three-phase imbalance. When the grid operation mode changes or line impedance parameters shift, the pre-set sensitivity coefficients cannot reflect the actual electrical coupling relationship, leading to a discrepancy between the power regulation calculated based on fixed parameters and the actual compensation requirements, affecting the accuracy of voltage compensation. Furthermore, existing methods often require external measurement equipment or offline parameter identification to obtain the grid's equivalent impedance, making real-time online updates during dispatching impossible, further restricting the response speed and adaptive capability of voltage management. Summary of the Invention

[0003] The main objective of this invention is to provide an intelligent dispatching method, device, equipment, medium, and program product for energy storage distribution networks. This method can effectively improve the accuracy of voltage compensation and the adaptive capability of dispatching strategies in energy storage distribution networks by obtaining equivalent impedance parameters online and calculating phase power adjustment based on voltage deviation type.

[0004] To achieve the above objectives, the present invention provides an intelligent dispatching method for energy storage distribution networks, comprising: Collect three-phase voltage data from multiple nodes along the power supply direction of the energy storage distribution network, and identify the voltage deviation type based on the three-phase voltage data; The corresponding power regulation mode is activated according to the voltage deviation type, and the energy storage converter of the energy storage distribution network is controlled to inject a disturbance signal to obtain the equivalent impedance parameter. Based on the voltage deviation type, the corresponding voltage compensation target value is determined, and the power regulation of each phase of the energy storage converter is calculated based on the voltage compensation target value and the equivalent impedance parameter. The energy storage converter is controlled to perform voltage compensation on the energy storage distribution network according to the power regulation of each phase.

[0005] Furthermore, the acquisition of three-phase voltage data from multiple nodes along the power supply direction of the energy storage distribution network, and the identification of voltage deviation types based on the three-phase voltage data, includes: Voltage calculations are performed based on the three-phase voltage data of each node to obtain the positive-sequence component amplitude and the negative-sequence component amplitude of each node. The positive sequence component amplitude of each node is compared with a preset voltage threshold. When the positive sequence component amplitude of a node is greater than the upper limit of the preset voltage threshold, the node is marked as a voltage upper limit node. When the positive sequence component amplitude of a node is less than the lower limit of the preset voltage threshold, the node is marked as a voltage lower limit node. Calculate the amplitude ratio of the negative sequence component to the positive sequence component. When the amplitude ratio of a node is greater than a preset imbalance threshold, the node is marked as a voltage imbalance node. The marking results of all nodes are summarized, and the voltage deviation type is determined based on the marking results. The voltage deviation type includes voltage exceeding the upper limit, voltage exceeding the lower limit, and three-phase voltage imbalance.

[0006] Furthermore, the step of activating the corresponding power regulation mode according to the voltage deviation type and controlling the energy storage converter of the energy storage distribution network to inject a disturbance signal to obtain the equivalent impedance parameter includes: According to the voltage deviation type, the preset mapping table is traversed to match and enable the corresponding power regulation mode, which includes at least one of reactive power regulation, active power regulation and phase-by-phase regulation. According to the activated power regulation mode, the energy storage converter is controlled to inject the disturbance signal into the grid connection point of the energy storage distribution network; After the disturbance signal is injected, the voltage amplitude change and power change at the grid connection point are obtained; The equivalent impedance parameters are obtained by calculating the equivalent impedance of the voltage amplitude change and the power change.

[0007] Furthermore, the step of controlling the energy storage converter to inject the disturbance signal into the grid connection point of the energy storage distribution network according to the activated power regulation mode includes: Extract the type identifier of the enabled power regulation mode, and extract the set of disturbance parameters and the set of disturbance times corresponding to the type identifier from the preset disturbance parameter configuration table; The disturbance signal is constructed based on the disturbance parameter set to obtain the disturbance signal including active disturbance signal and reactive disturbance signal; Within a first time window of the disturbance time set, the energy storage converter is controlled to inject the active disturbance signal into the grid connection point, and after the first time window ends, the interval duration in the disturbance time set is delayed. After the interval period ends, the energy storage converter is controlled to inject the reactive power disturbance signal into the grid connection point within the second time window of the disturbance time set, wherein the first time window and the second time window do not overlap.

[0008] Further, the step of determining the corresponding voltage compensation target value based on the voltage deviation type, and calculating the phase power regulation of the energy storage converter based on the voltage compensation target value and the equivalent impedance parameter, includes: Based on the voltage deviation type, extract the voltage compensation target value corresponding to the voltage deviation type from the preset compensation mapping table; The three-phase voltage data of each node are compared with the voltage compensation target value phase by phase to obtain the voltage deviation compensation amount of each phase of each node. Divide the voltage deviation compensation amount of each phase by the corresponding equivalent impedance value in the equivalent impedance parameter to obtain the initial power compensation amount of each phase. Based on the current power regulation method, the corresponding phase allocation weight coefficient is extracted from the preset phase weight table, and the initial power compensation amount of each phase is multiplied by the corresponding phase allocation weight coefficient to obtain the power regulation amount of each phase.

[0009] Furthermore, the step of controlling the energy storage converter to perform voltage compensation for the energy storage distribution network based on the power adjustment of each phase includes: Extract the phase identifier and regulation parameters carried in the power regulation of each phase, and traverse the phase sequence configuration parameter table of the energy storage converter with the phase identifier as the index to obtain the power output channel address corresponding to the phase identifier. Based on the power output channel address and according to the preset power command conversion rules, the adjustment parameters are converted into power control command frames for each phase that conform to the communication protocol of the energy storage converter. The energy storage converter is controlled to adjust the output power of each phase according to the power control command frame of each phase, so as to perform voltage compensation for the energy storage distribution network.

[0010] The present invention also provides an intelligent dispatching device for energy storage distribution networks, applied to the intelligent dispatching method for energy storage distribution networks described in any one of the above claims, comprising: The acquisition and identification module is used to acquire three-phase voltage data of multiple nodes along the power supply direction of the energy storage distribution network, and identify the voltage deviation type based on the three-phase voltage data. The acquisition module is enabled, which is used to enable the corresponding power regulation mode according to the voltage deviation type, and control the energy storage converter of the energy storage distribution network to inject a disturbance signal to obtain the equivalent impedance parameter. The target adjustment module is used to determine the corresponding voltage compensation target value according to the voltage deviation type, and to calculate the power adjustment of each phase of the energy storage converter based on the voltage compensation target value and the equivalent impedance parameter. A control compensation module is used to control the energy storage converter to perform voltage compensation on the energy storage distribution network according to the power adjustment of each phase.

[0011] The present invention also 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 steps of the above-described intelligent dispatching method for energy storage distribution networks.

[0012] The present invention also provides a readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the intelligent dispatching method for energy storage distribution networks as described in any of the preceding claims.

[0013] The present invention also provides a computer program product, the computer program product comprising a computer program, which, when executed by a processor, enables the implementation of the steps of the intelligent dispatching method for energy storage distribution networks as described in any of the preceding claims.

[0014] The present invention provides an intelligent dispatching method, device, equipment, medium, and program product for energy storage distribution networks, which has the following beneficial effects: By collecting three-phase voltage data from multiple nodes along the power supply direction of the energy storage distribution network and identifying voltage deviation types, the abnormal voltage states of different nodes and phases can be accurately distinguished, providing a precise decision-making basis for subsequent differentiated regulation. By activating corresponding power regulation modes based on voltage deviation types and injecting disturbance signals into the energy storage converter during dispatching to obtain equivalent impedance parameters online, the impedance identification results can reflect the actual electrical coupling relationship of the current power grid in real time, effectively avoiding sensitivity parameter mismatch problems caused by changes in line parameters or adjustments in operating modes. By calculating the power regulation of each phase of the energy storage converter based on the voltage compensation target value and the online obtained equivalent impedance parameters, the determination of the power compensation amount matches the actual power grid transmission characteristics, reducing the calculation deviation of the compensation amount caused by fixed sensitivity coefficients and improving the accuracy of voltage compensation. By controlling the energy storage converter to adjust the output power according to the power regulation of each phase, phase-specific and differentiated voltage compensation for the energy storage distribution network in the distribution area is achieved. While taking into account various voltage quality issues such as voltage exceeding the upper and lower limits and three-phase imbalance, the real-time response capability and adaptive level of the dispatching method to changes in the power grid state are improved. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the structure of an intelligent dispatching system for energy storage distribution networks according to one embodiment of the present invention; Figure 2 This is a flowchart illustrating an intelligent dispatching method for energy storage distribution networks according to an embodiment of the present invention; Figure 3 This is a flowchart illustrating an intelligent dispatching method for energy storage distribution networks according to an embodiment of the present invention; Figure 4 This is a flowchart illustrating an intelligent dispatching method for energy storage distribution networks according to an embodiment of the present invention; Figure 5 This is a flowchart illustrating an intelligent dispatching method for energy storage distribution networks according to an embodiment of the present invention; Figure 6 This is a flowchart illustrating an intelligent dispatching device for energy storage distribution networks according to one embodiment of the present invention; Figure 7 This is a schematic diagram of the structure of a computer device according to an embodiment of the present invention.

[0017] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or collections thereof. It should also be understood that, as used in this specification and the appended claims, the term "and / or" refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0020] Furthermore, in the description of this invention and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0021] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of the invention include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0022] It should be understood that the sequence number of each step in the following embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0023] To illustrate the technical solution of the present invention, specific embodiments are described below.

[0024] With the increasing penetration of distributed energy in distribution networks, the role of energy storage systems in mitigating voltage fluctuations and improving power quality is becoming increasingly prominent. Intelligent dispatching methods for energy storage distribution networks have become a key research focus in this field. Existing dispatching methods largely rely on fixed voltage-power sensitivity matrices to calculate power regulation, and typically employ a uniform three-phase power regulation method, failing to differentiate between different voltage deviation types such as voltage exceeding upper and lower limits and three-phase imbalance. When the grid operation mode changes or line impedance parameters shift, the pre-set sensitivity coefficients fail to reflect the actual electrical coupling relationship, leading to discrepancies between the power regulation calculated based on fixed parameters and the actual compensation requirements, affecting the accuracy of voltage compensation. Furthermore, existing methods often require external measurement equipment or offline parameter identification to obtain the grid's equivalent impedance, making real-time online updates during dispatching impossible, further restricting the response speed and adaptive capability of voltage management.

[0025] To address the aforementioned issues, this application proposes an intelligent dispatching method, device, equipment, medium, and program product for energy storage distribution networks. By collecting three-phase voltage data from multiple nodes along the power supply direction of the energy storage distribution network and identifying voltage deviation types, it can accurately distinguish voltage anomalies at different nodes and in different phases, providing precise decision-making basis for subsequent differentiated regulation. By activating corresponding power regulation modes based on voltage deviation types and injecting disturbance signals into the energy storage converter during dispatching to obtain equivalent impedance parameters online, the impedance identification results can reflect the actual electrical coupling relationship of the current power grid in real time, effectively avoiding sensitivity parameter mismatch problems caused by changes in line parameters or adjustments in operating modes. By calculating the power regulation of each phase of the energy storage converter based on the voltage compensation target value and the online obtained equivalent impedance parameters, the determination of the power compensation amount matches the actual power grid transmission characteristics, reducing the calculation deviation of the compensation amount caused by fixed sensitivity coefficients and improving the accuracy of voltage compensation. By controlling the output power of the energy storage converter according to the power adjustment of each phase, phase-specific and differentiated voltage compensation is achieved for the energy storage distribution network in the distribution area. While taking into account various voltage quality issues such as voltage exceeding the upper and lower limits and three-phase imbalance, the real-time response capability and adaptive level of the dispatching method to changes in the grid state are improved.

[0026] The intelligent dispatching method for energy storage distribution networks provided in this invention can be applied to, for example... Figure 1 The energy storage distribution network intelligent dispatch system shown includes terminal equipment and energy storage distribution network intelligent dispatch device. The terminal equipment communicates with the server through a network or bus.

[0027] Among them, the intelligent dispatching device for energy storage distribution networks can be a terminal device, which refers to a device that corresponds to a server and provides local services to customers. This terminal device includes, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices.

[0028] Among them, the intelligent dispatching device for energy storage distribution networks can also be a server, which can be implemented using an independent server or a server cluster composed of multiple servers.

[0029] like Figure 2 As shown, the present invention provides an intelligent dispatching method for energy storage distribution networks, comprising: Step S100: Collect three-phase voltage data of multiple nodes along the power supply direction of the energy storage distribution network, and identify the voltage deviation type based on the three-phase voltage data; Specifically, three-phase voltage data from multiple nodes along the power supply direction of the energy storage distribution network are collected, and voltage deviation types are identified based on the three-phase voltage data. Voltage monitoring units are deployed at each branch connection point from the low-voltage side busbar of the distribution transformer to the end of the line, and the instantaneous voltage amplitude of the three phases at each node is collected synchronously according to a preset sampling period. Symmetrical component transformation is performed on the instantaneous three-phase voltage values ​​of each node to extract the positive-sequence component amplitude and the negative-sequence component amplitude. The positive-sequence component amplitude is compared node by node with preset upper and lower voltage thresholds. When the positive-sequence component amplitude of any node exceeds the upper threshold, the node is marked as a node exceeding the upper voltage threshold; when the positive-sequence component amplitude of any node is lower than the lower threshold, the node is marked as a node exceeding the lower voltage threshold.

[0030] Calculate the ratio of the negative-sequence component amplitude to the positive-sequence component amplitude at each node. When the ratio exceeds a preset imbalance threshold, the node is marked as a voltage imbalance node. Summarize the marking results for each node and determine the voltage deviation type of the current energy storage distribution network based on the quantity distribution and severity of the marking results. Voltage deviation types are classified into voltage exceeding the upper limit, voltage exceeding the lower limit, and three-phase voltage imbalance types. Each type can exist individually or in combination. The identified voltage deviation type is output as the triggering basis for subsequent control decisions.

[0031] Step S200: Activate the corresponding power regulation mode according to the voltage deviation type, and control the energy storage converter of the energy storage distribution network to inject a disturbance signal to obtain the equivalent impedance parameter; Specifically, the corresponding power regulation mode is activated based on the voltage deviation type, and the energy storage converter in the energy storage distribution network is controlled to inject disturbance signals to obtain equivalent impedance parameters. A mapping table between voltage deviation types and power regulation modes is preset. In the mapping table, voltage deviations above the upper limit correspond to reactive power absorption regulation mode, voltage deviations below the lower limit correspond to reactive power output regulation mode, and three-phase voltage imbalances correspond to phase-specific active power regulation mode.

[0032] The mapping table is traversed according to the voltage deviation type to match the corresponding power regulation mode and enable it. After the corresponding regulation mode is enabled, a disturbance injection command is sent to the energy storage converter to control the energy storage converter to sequentially inject active and reactive disturbance signals with preset amplitude and frequency at the grid connection point.

[0033] Grid connection point: The electrical node where the AC side of the energy storage converter connects to the low-voltage busbar of the energy storage distribution network in the distribution area. This node is the physical access point for the energy storage converter to inject power and disturbance signals into the distribution network. During the injection of active power disturbance signals, the changes in voltage amplitude and active power at the grid connection point are simultaneously collected. The equivalent resistance value is calculated based on the ratio of the voltage amplitude change to the active power change. During the injection of reactive power disturbance signals, the changes in voltage amplitude and reactive power at the grid connection point are simultaneously collected. The equivalent reactance value is calculated based on the ratio of the voltage amplitude change to the reactive power change. The equivalent resistance value and the equivalent reactance value are integrated to form an equivalent impedance parameter. This equivalent impedance parameter reflects the actual electrical coupling relationship of the current power grid in real time and is output as an online parameter for subsequent power regulation calculations.

[0034] Step S300: Determine the corresponding voltage compensation target value according to the voltage deviation type, and calculate the power regulation of each phase of the energy storage converter based on the voltage compensation target value and the equivalent impedance parameter; Specifically, the corresponding voltage compensation target value is determined based on the voltage deviation type, and the voltage compensation target value is combined with the equivalent impedance parameters to calculate the power regulation of each phase of the energy storage converter. A pre-defined correspondence between voltage deviation types and voltage compensation target values ​​is established: for voltage deviations exceeding the upper limit, the target value is to restore the grid connection point voltage to within the upper limit of the rated voltage; for voltage deviations exceeding the lower limit, the target value is to restore the grid connection point voltage to above the lower limit of the rated voltage; and for three-phase voltage imbalance, the target value is to reduce the ratio of the negative sequence component to the positive sequence component to below the imbalance threshold. The impedance magnitude values ​​corresponding to each phase sequence in the equivalent impedance parameters are extracted, and the voltage deviation compensation amount for each phase at each node is divided by the corresponding phase sequence impedance magnitude to obtain the initial power compensation amount for each phase. When the activated power regulation mode is phase-by-phase regulation, the phase allocation weight coefficient is extracted from the pre-defined weight mapping relationship based on the current three-phase voltage imbalance degree. The initial power compensation amount for each phase is multiplied by the corresponding allocation weight coefficient to form the power regulation amount for each phase of the energy storage converter.

[0035] Step S400: Control the energy storage converter to perform voltage compensation on the energy storage distribution network according to the power adjustment of each phase.

[0036] Specifically, the energy storage converter adjusts its output power based on the power regulation of each phase to compensate the voltage of the energy storage distribution network. The phase sequence identifier and regulation value carried in each phase power regulation are extracted. Using the phase sequence identifier as an index, the built-in phase sequence channel configuration table of the energy storage converter is traversed to match the pulse width modulation channel address corresponding to each phase sequence identifier. The regulation value and the corresponding channel address are used as input parameters to call the power command conversion module of the energy storage converter. The power command conversion module converts the regulation value into power control command frames for each phase according to the energy storage converter's communication protocol.

[0037] Cyclic redundancy checks are performed on each phase power control command frame. After successful checks, the command frames are sequentially written into the command buffer of the energy storage converter. The energy storage converter reads each phase power control command frame from the command buffer and adjusts the amplitude and phase of the corresponding phase output power. During power regulation, the recovery trend of the three-phase voltage at the grid connection point is continuously monitored until the voltage amplitude of each phase stabilizes within the allowable fluctuation range of the rated voltage and the three-phase voltage imbalance recovers to below the threshold value. At this point, the voltage compensation regulation cycle ends.

[0038] This embodiment provides an intelligent dispatching method for energy storage distribution networks. By collecting three-phase voltage data from multiple nodes along the power supply direction and identifying voltage deviation types, it can accurately distinguish voltage anomalies at different nodes and in different phases, providing precise decision-making basis for subsequent differentiated regulation. By activating corresponding power regulation modes based on voltage deviation types and injecting disturbance signals into the energy storage converter during dispatching to obtain equivalent impedance parameters online, the impedance identification results can reflect the actual electrical coupling relationship of the current power grid in real time, effectively avoiding sensitivity parameter mismatch problems caused by changes in line parameters or adjustments to operating modes. By calculating the power regulation of each phase of the energy storage converter based on the voltage compensation target value and the online obtained equivalent impedance parameters, the determination of the power compensation amount matches the actual power grid transmission characteristics, reducing the calculation deviation of the compensation amount caused by fixed sensitivity coefficients and improving the accuracy of voltage compensation. By controlling the output power of the energy storage converter according to the power adjustment of each phase, phase-specific and differentiated voltage compensation is achieved for the energy storage distribution network in the distribution area. While taking into account various voltage quality issues such as voltage exceeding the upper and lower limits and three-phase imbalance, the real-time response capability and adaptive level of the dispatching method to changes in the grid state are improved.

[0039] like Figure 3 As shown, in one embodiment, step S100: collecting three-phase voltage data from multiple nodes along the power supply direction of the energy storage distribution network, and identifying the voltage deviation type based on the three-phase voltage data, includes: Step S110: Calculate the voltage based on the three-phase voltage data of each node to obtain the positive sequence component amplitude and negative sequence component amplitude of each node; Among them, the three-phase voltage data refers to the instantaneous values ​​of phase A, phase B, and phase C voltages synchronously collected by each monitoring node along the power supply direction in the energy storage distribution network of the transformer area. It reflects the magnitude of each phase voltage and the trend of its change over time, and serves as the basic input data for voltage deviation type identification.

[0040] Positive sequence component amplitude: This refers to the effective value of the positive rotating voltage component, which characterizes the balance of the three-phase voltage and the overall voltage level, extracted after performing a symmetrical component transformation on the acquired instantaneous three-phase voltage values. This amplitude reflects the average energy level of each phase voltage in the power supply line.

[0041] Negative sequence component amplitude: This refers to the effective value of the voltage component extracted after symmetrical component transformation, which rotates in the opposite direction to the positive sequence component. This amplitude is used to quantify the degree of asymmetry between the three-phase voltages and is a direct electrical characteristic quantity for identifying three-phase voltage imbalance.

[0042] Step S120: Compare the positive sequence component amplitude of each node with a preset voltage threshold. When the positive sequence component amplitude of a node is greater than the upper limit of the preset voltage threshold, mark the node as a voltage upper limit node. When the positive sequence component amplitude of a node is less than the lower limit of the preset voltage threshold, mark the node as a voltage lower limit node. The preset voltage threshold is a set of voltage limit constants stored in the parameter configuration table of the dispatch control unit, including an upper limit threshold and a lower limit threshold. The upper limit threshold is set according to the rated voltage of the distribution network and the maximum allowable operating voltage, while the lower limit threshold is set according to the minimum allowable supply voltage of the distribution network.

[0043] Specifically, the positive sequence component amplitude of each node is compared with a preset voltage threshold. When the positive sequence component amplitude of a node is greater than the upper limit of the preset voltage threshold, the node is marked as a node with a voltage exceeding the upper limit; when the positive sequence component amplitude of a node is less than the lower limit of the preset voltage threshold, the node is marked as a node with a voltage exceeding the lower limit. The specific values ​​of the preset upper and lower voltage thresholds are read from the energy storage distribution network operation parameter configuration table, and the positive sequence component amplitude sequence of each node output in step S110 is traversed sequentially.

[0044] For each node traversed, the filtered positive sequence component amplitude is compared with the upper limit threshold. If the positive sequence component amplitude exceeds the upper limit threshold for a preset number of judgment periods, a voltage over-limit flag is generated, and the node identifier is associated with the over-limit type code and stored in the flag cache.

[0045] If the positive sequence component amplitude remains below the lower limit threshold for a preset number of judgment periods, a voltage lower limit violation flag is generated, and the node identifier is associated with and stored in relation to the lower limit violation type code. When the positive sequence component amplitude is within the allowable range formed by the upper and lower limits, no violation flag is generated.

[0046] After completing the traversal of all nodes, the list of nodes that exceed the upper limit of voltage and the list of nodes that exceed the lower limit of voltage stored in the marking buffer are output as intermediate results, providing the identified nodes that exceed the limit for voltage imbalance determination and type summarization in steps S130 and S140.

[0047] Step S130: Calculate the amplitude ratio of the negative sequence component amplitude to the positive sequence component amplitude. When the amplitude ratio of a node is greater than a preset imbalance threshold, mark the node as a voltage imbalance node. Specifically, the amplitude ratio of the negative sequence component to the positive sequence component is calculated. When the amplitude ratio of a node is greater than a preset imbalance threshold, the node is marked as a voltage imbalance node.

[0048] Extract the positive-sequence amplitude sequence and negative-sequence amplitude sequence of each node output in step S110 after filtering. Then, iterate through each node identifier to match the corresponding positive-sequence amplitude and negative-sequence amplitude. For each node, divide the negative-sequence amplitude by the positive-sequence amplitude to calculate the amplitude ratio K = Unegative / Upositive, where Unegative is the negative-sequence amplitude and Upositive is the positive-sequence amplitude.

[0049] The specific value of the preset unbalance threshold is read from the power quality parameter configuration table of the energy storage distribution network, and the calculated amplitude ratio is compared with the unbalance threshold. When the amplitude ratio exceeds the unbalance threshold and continues to exceed the preset number of judgment cycles, a three-phase unbalance mark is generated, and the node identifier is associated with the unbalance type code and stored in the mark cache area described in step S120.

[0050] When the amplitude ratio is less than or equal to the imbalance threshold, no imbalance flag is generated. After traversing all nodes, the flag buffer has accumulated and stored lists of nodes with voltage exceeding the upper limit, nodes with voltage exceeding the lower limit, and nodes with voltage imbalance.

[0051] Step S140: Summarize the marking results of all nodes and determine the voltage deviation type based on the marking results, wherein the voltage deviation type includes voltage exceeding the upper limit type, voltage exceeding the lower limit type, and three-phase voltage imbalance type.

[0052] Specifically, the marking results of all nodes are summarized, and the voltage deviation type is determined based on the marking results. The voltage deviation type includes voltage exceeding the upper limit, voltage exceeding the lower limit, and three-phase voltage imbalance. The node identifiers and corresponding marking type codes of all marked nodes are extracted from the marking buffer output in step S130.

[0053] The frequency of occurrence of voltage upper limit type codes is statistically analyzed. If at least one node has a voltage upper limit mark, the current energy storage distribution network is determined to have a voltage upper limit type problem. Similarly, the frequency of occurrence of voltage lower limit type codes is statistically analyzed. If at least one node has a voltage lower limit mark, the lower limit type problem is determined to exist. Finally, the frequency of occurrence of three-phase voltage imbalance type codes is statistically analyzed. If at least one node has a voltage imbalance mark, a three-phase voltage imbalance type problem is determined to exist.

[0054] The three types of voltage deviation mentioned above can be determined individually, or two or three types can coexist within the same scheduling cycle. The determined voltage deviation type is encapsulated as a voltage deviation type identifier in the form of a type enumeration value, and then output together with the corresponding node's tag statistics information.

[0055] The method provided in this embodiment calculates the positive-sequence and negative-sequence component amplitudes based on the three-phase voltage data of each node, enabling the quantification and characterization of voltage exceedance and three-phase imbalance problems, providing accurate numerical basis for subsequent differentiated regulation. By comparing the positive-sequence component amplitude with preset upper and lower voltage thresholds and comparing the ratio of negative-sequence to positive-sequence amplitude with an imbalance threshold, independent labeling and classification of nodes exceeding the upper and lower voltage limits and nodes with voltage imbalance are achieved, overcoming the deficiency of uniform regulation methods in not being able to specifically handle different types of voltage deviations. By summarizing the labeling results of each node and determining the voltage deviation type based on the label distribution, the scheduling method can automatically identify the dominant voltage quality problem in the current distribution network, providing accurate triggering conditions for subsequently activating corresponding power regulation methods on demand.

[0056] In one embodiment, step S110: the voltage calculation based on the three-phase voltage data of each node to obtain the positive-sequence component amplitude and negative-sequence component amplitude of each node includes: Step S111: Extract the three-phase voltage data of each node for multiple consecutive sampling periods, perform amplitude verification on the instantaneous value of the three-phase voltage in each sampling period, and mark the sampling period as an abnormal sampling period when the instantaneous value of any phase voltage exceeds the preset effective amplitude range. Among them, the effective amplitude range is the upper and lower limits of the values ​​set according to the rated phase voltage peak and allowable fluctuation range of the energy storage distribution network in the distribution area. The instantaneous voltage values ​​outside the range are considered invalid sampling data, and the range boundary values ​​are read from the distribution area operation parameter configuration table.

[0057] Normal sampling period: A sampling period in which the instantaneous voltage value of at least one phase of phase A, phase B, or phase C exceeds the effective amplitude range. All three-phase data in this period are considered unreliable data and are discarded.

[0058] Specifically, the three-phase voltage data of each node for multiple consecutive sampling periods are extracted, and the amplitude of the instantaneous three-phase voltage in each sampling period is checked. When the instantaneous value of any phase voltage exceeds the preset effective amplitude range, the sampling period is marked as an abnormal sampling period.

[0059] Following the sequence of instantaneous three-phase voltage values ​​of each node synchronously collected by the voltage monitoring unit in step S100 according to the preset sampling period, the instantaneous A-phase voltage value, instantaneous B-phase voltage value, and instantaneous C-phase voltage value of each node in the most recent consecutive sampling periods are extracted from the data buffer.

[0060] The lower and upper threshold values ​​of the preset effective amplitude range are read from the transformer area operation parameter configuration table, and the instantaneous three-phase voltage values ​​of each node in each sampling period are traversed sequentially. For each sampling period, the instantaneous values ​​of phase A, phase B, and phase C contained therein are compared with the lower and upper threshold values, respectively.

[0061] When the instantaneous value of any phase is less than the lower threshold or greater than the upper threshold, an anomaly marker is generated, the period number of the sampling period is associated with the anomaly marker and written into the anomaly period record table, and the comparison operation of the other two phases of the sampling period is terminated.

[0062] When all three-phase instantaneous values ​​are within the closed interval formed by the lower and upper threshold values, the sampling period passes the amplitude verification and does not generate an anomaly flag. After traversing all sampling periods of all nodes, an anomaly period record table and the original three-phase voltage data sequence of each node are output.

[0063] Step S112: Remove the three-phase voltage data marked as abnormal sampling periods, and collect the three-phase voltage data of the remaining valid sampling periods into a valid voltage data sequence; Specifically, three-phase voltage data marked as abnormal sampling periods are removed, and the three-phase voltage data of the remaining valid sampling periods are aggregated into a valid voltage data sequence. The abnormal sampling period sequence number list of each node stored in the abnormal period record table is read, and the original three-phase voltage data sequence is traversed node by node.

[0064] For each node traversed, based on its corresponding abnormal sampling period number, locate the three-phase voltage data record at the corresponding number position in the original data sequence of that node.

[0065] The instantaneous values ​​of phase A, phase B, and phase C voltages, along with the timestamp of the sampling period, are removed from the record. The resulting gaps are filled sequentially by data from subsequent sampling periods. For sampling period numbers not listed in the abnormal period record table, their corresponding three-phase voltage data records are marked as valid and retained.

[0066] After removing outlier data and filtering valid data for all nodes, the three-phase voltage data of each node with valid sampling periods are rearranged in ascending order according to their original timestamps, forming a valid voltage data sequence for each node. Each sampling period in the valid voltage data sequence contains the instantaneous voltage values ​​of phase A, phase B, and phase C, which have been verified as valid through amplitude checking. This sequence serves as a reliable input data source for the symmetrical component transformation calculation in step S113, ensuring that the subsequent calculation results of the positive-sequence component amplitude and the negative-sequence component amplitude are not affected by outlier sampling values.

[0067] Step S113: Perform symmetric component transformation calculation on the effective voltage data sequence to obtain the positive sequence component amplitude and the negative sequence component amplitude of each node.

[0068] Specifically, a symmetric component transformation calculation is performed on the effective voltage data sequence to obtain the positive-sequence component amplitude and the negative-sequence component amplitude of each node.

[0069] Extract the effective voltage data sequence of each node output in step S112, and read the effective instantaneous voltage values ​​of phase A (VA), phase B (VB), and phase C (VC) periodically according to the sampling period.

[0070] Substitute the instantaneous three-phase voltage values ​​within each effective sampling period into the positive-sequence component calculation formula and the negative-sequence component calculation formula; Formula for calculating positive sequence components: ; Formula for calculating negative order components: ; Where the rotation factor , = = ; ; in, : Represents the instantaneous value of phase A voltage, that is, the instantaneous amplitude of phase A voltage collected at a sampling moment at a certain node in the energy storage distribution network, in volts.

[0071] : Represents the instantaneous value of phase B voltage, that is, the instantaneous amplitude of phase B voltage collected at the same sampling time at the same node, in volts.

[0072] : Represents the instantaneous value of the C-phase voltage, that is, the instantaneous amplitude of the C-phase voltage collected at the same sampling time at the same node, in volts.

[0073] : Represents the result of the positive sequence component complex number calculation. It is a complex number obtained by calculating the instantaneous value of the three-phase voltage through symmetrical component transformation. Its real part and imaginary part reflect the magnitude of the projection of the positive sequence voltage onto the real axis and imaginary axis, respectively.

[0074] : Represents the complex calculation result of the negative sequence component, which is a complex number obtained by calculating the instantaneous value of the three-phase voltage through symmetrical component transformation. Its real part and imaginary part reflect the magnitude of the projection of the negative sequence voltage on the real axis and imaginary axis, respectively.

[0075] α: Represents the 120° rotation factor, a complex number operator with a value of It is used to rotate the B-phase voltage phasor counterclockwise by 120° on the complex plane, and plays a phase shifting role in the transformation of three-phase symmetrical components.

[0076] : represents the 240° rotation factor, a complex number operator with a value of It is used to rotate the C-phase voltage phasor counterclockwise by 240° on the complex plane, which is equivalent to rotating it clockwise by 120°.

[0077] j: Represents the imaginary unit, defined as j= , is used to form the imaginary part in complex number expressions.

[0078] : This indicates the operation of extracting the real part of the positive-order complex number V, that is, extracting the coordinate value of the complex number on the real axis of the complex plane.

[0079] : This indicates the operation of extracting the positive imaginary part of the complex number V, that is, extracting the coordinate value of the complex number on the imaginary axis of the complex plane.

[0080] : This indicates the operation of taking the negative real part of the complex number V, that is, extracting the coordinate value of the complex number on the real axis of the complex plane.

[0081] :: indicates the operation of taking the negative imaginary part of the complex number V, that is, extracting the coordinate value of the complex number on the imaginary axis of the complex plane.

[0082] : Represents the magnitude of the positive sequence component, which is the modulus of the complex number of the positive sequence component. It is obtained through the square root operation and reflects the actual effective magnitude of the positive sequence component in the three-phase voltage after transformation.

[0083] : Represents the magnitude of the negative sequence component, which is the modulus of the complex number of the negative sequence component. It is obtained by the square root operation and reflects the actual effective magnitude of the negative sequence component in the three-phase voltage after transformation.

[0084] The positive-order complex component is moduloed to obtain the positive-order component amplitude |Vpositive| for that sampling period; the negative-order complex component is moduloed to obtain the negative-order component amplitude |Vnegative| for that sampling period.

[0085] The positive and negative component amplitudes of each sampling period are stored in the amplitude sequence buffer of the corresponding node according to the timestamp.

[0086] After completing the symmetric component transformation for all valid sampling periods of the node, a sliding window mean filter is performed on the amplitude sequence. The mean amplitude of the positive sequence component and the mean amplitude of the negative sequence component after filtering are used as the output results of the current scheduling period of the node, which are used for voltage over-limit determination in step S120 and voltage imbalance determination in step S130.

[0087] The method provided in this embodiment extracts three-phase voltage data from multiple consecutive sampling periods at each node and performs amplitude verification on the instantaneous values ​​of the three-phase voltage within each sampling period. Sampling periods where any phase instantaneous value exceeds the effective amplitude range are marked as abnormal sampling periods, thereby identifying and locating invalid sampling points caused by sensor anomalies or transient disturbances at the data source. By removing the three-phase voltage data marked as abnormal sampling periods and aggregating the remaining effective sampling period data into an effective voltage data sequence, the input data for subsequent symmetrical component transformation calculations is not affected by abnormal sampling values, avoiding calculation deviations in overall voltage characteristics due to individual bad data points. By performing symmetrical component transformation calculations on the effective voltage data sequence to obtain the positive-sequence and negative-sequence component amplitudes of each node, the accuracy of the basic data for voltage over-limit determination and three-phase imbalance determination is improved, providing accurate numerical basis for the reliable identification of subsequent voltage deviation types.

[0088] like Figure 4 As shown, in one embodiment, step S200: activating the corresponding power regulation mode according to the voltage deviation type and controlling the energy storage converter of the energy storage distribution network to inject a disturbance signal to obtain equivalent impedance parameters includes: Step S210: Traverse the preset mapping table according to the voltage deviation type, match and enable the corresponding power regulation mode, the power regulation mode includes at least one of reactive power regulation, active power regulation and phase regulation; The preset mapping table uses a voltage deviation type identifier as the primary key field and a power regulation mode code as the corresponding value field, forming a key-value pair mapping relationship. The voltage deviation type identifier uses an enumerated value encoding format: 0x01 for voltage exceeding the upper limit, 0x02 for voltage exceeding the lower limit, and 0x03 for three-phase voltage imbalance. The power regulation mode code uses a bitmask format: bit 0 is set for reactive power absorption regulation, bit 1 is set for reactive power output regulation, and bit 2 is set for phase-specific active power regulation. The preset mapping table is loaded from the transformer area operation parameter configuration file into memory during the scheduling control unit initialization phase. After loading, it resides in the memory mapping area for quick retrieval by real-time scheduling tasks. Each record in the mapping table includes a type code field, a regulation mode code field, and a reserved extended field. The reserved extended field is used to expand the mapping relationship when adding new voltage deviation types. When the scheduling task is executed, the voltage deviation type identifier output in step S140 is used as the input parameter, and a hash lookup function is called to perform a key matching operation on the preset mapping table, returning the corresponding regulation mode code. When the input type identifier corresponds to a combination type, the mapping table returns the combination adjustment mode code through a bitwise OR operation of the mask, indicating that multiple power adjustment modes need to be enabled simultaneously. The configuration content of the preset mapping table can be modified by maintenance personnel through the human-machine interface according to the actual operating characteristics of the transformer area. The modified mapping relationship is written to the configuration file after verification and confirmation and takes effect in the next scheduling cycle.

[0089] Specifically, based on the voltage deviation type, a preset mapping table is traversed to match and activate the corresponding power regulation mode. The power regulation mode includes at least one of reactive power regulation, active power regulation, and phase-specific regulation. A voltage deviation type identifier is adopted, which represents one or more combinations of voltage upper limit exceeding type, voltage lower limit exceeding type, or three-phase voltage imbalance type currently existing in the energy storage distribution network, in the form of an enumerated value. A preset mapping table is loaded from the configuration parameter area of ​​the dispatch control unit. This mapping table contains associated records for reactive power absorption regulation mode corresponding to voltage upper limit exceeding type, reactive power output regulation mode corresponding to voltage lower limit exceeding type, and phase-specific active power regulation mode corresponding to three-phase voltage imbalance type. Using the voltage deviation type identifier as the query key, each mapping record in the preset mapping table is traversed, and a key-value matching operation is performed. When a match is found, the power regulation mode code of the corresponding record is extracted and written to the regulation mode register of the current dispatch cycle to activate that regulation mode. When there are multiple types of voltage deviation, the adjustment method with the highest priority is selected and activated according to the preset priority rules. The priority order is: three-phase voltage imbalance type takes precedence over voltage exceeding the upper limit type, and voltage exceeding the upper limit type takes precedence over voltage exceeding the lower limit type.

[0090] Step S220: Control the energy storage converter to inject the disturbance signal into the grid connection point of the energy storage distribution network according to the enabled power regulation mode; Step S230: After injecting the disturbance signal, obtain the voltage amplitude change and power change at the grid connection point; Among them, the voltage amplitude change is the difference between the voltage fundamental amplitude measured at the grid connection point within two steady-state time windows before and after the disturbance signal injection. It reflects the sensitivity of the grid to the voltage response of the injected power disturbance and is the divisor in the calculation of the equivalent impedance.

[0091] Power change: The difference between active or reactive power measured at the grid connection point within two steady-state time windows before and after the disturbance signal injection. It reflects the magnitude of the disturbance power actually injected into the grid by the energy storage converter and is the divisor term in the equivalent impedance calculation.

[0092] Specifically, during the process of controlling the energy storage converter to inject a disturbance signal into the grid connection point, the electrical quantity acquisition process at the grid connection point is simultaneously initiated. Within a preset steady-state time window before the disturbance signal injection, the instantaneous values ​​of the three-phase voltage and three-phase current at the grid connection point are continuously acquired at sampling intervals equal to the power frequency cycle. The steady-state voltage amplitude U1 before the disturbance, the active power Pp, and the reactive power Q1 before the disturbance are calculated using a fundamental frequency extraction algorithm and stored in a buffer. Within a detection window after the disturbance signal injection and when the disturbance duration reaches the preset steady-state judgment condition, the instantaneous values ​​of the three-phase voltage and three-phase current at the grid connection point are continuously acquired at the same sampling interval. The steady-state voltage amplitude U2 after the disturbance, the active power P2, and the reactive power Q2 after the disturbance are calculated. The steady-state value after the disturbance is subtracted from the steady-state value before the disturbance to obtain the voltage amplitude change ΔU = U2 - U1.

[0093] When the disturbance signal injected in step S220 is an active disturbance signal, the active power change ΔP=P2-Pp is extracted as the power change. When the disturbance signal injected in step S220 is a reactive disturbance signal, the reactive power change ΔQ = Q2 - Q1 is extracted as the power change. The voltage amplitude change and the corresponding power change are associated, encapsulated, and output as input parameters for the equivalent impedance calculation in step S240.

[0094] Step S240: Calculate the equivalent impedance for the voltage amplitude change and the power change to obtain the equivalent impedance parameters.

[0095] Specifically, the voltage amplitude change and power change correlation data pair output in step S230 are read, and the calculation target of the equivalent impedance component is determined according to the type of disturbance signal injected in step S220.

[0096] When the disturbance signal type is an active disturbance signal, the voltage amplitude change ΔU and the active power change ΔP are substituted into the equivalent resistance calculation formula: Re=ΔU·UN / ΔP, where UN is the rated phase voltage amplitude at the grid connection point, and the equivalent resistance value Re is calculated and stored in the impedance parameter buffer area.

[0097] When the disturbance signal type is a reactive disturbance signal, the voltage amplitude change ΔU and the reactive power change ΔQ are substituted into the equivalent reactance calculation formula: Xe=ΔU·UN / ΔQ, and the equivalent reactance value Xe is calculated and stored in the impedance parameter buffer.

[0098] If the power regulation mode activated in step S210 involves both active power regulation and reactive power regulation, then after completing the active power disturbance injection and equivalent resistance calculation, and the reactive power disturbance injection and equivalent reactance calculation, Re and Xe are extracted from the impedance parameter buffer and integrated.

[0099] The integration method involves using the equivalent resistance value as the real part and the equivalent reactance value as the imaginary part to construct the complex form of the equivalent impedance parameter Z=Re+jXe, or storing the resistance and reactance in discrete form.

[0100] The method provided in this embodiment achieves differentiated activation of reactive power absorption, reactive power output, and phase-specific active power regulation under different operating conditions such as voltage exceeding the upper and lower limits and three-phase imbalance by traversing a preset mapping table to match the corresponding power regulation mode. This overcomes the shortcomings of existing methods that use a uniform regulation mode and cannot specifically address different voltage quality problems. After activating the corresponding regulation mode, the energy storage converter is controlled to inject a disturbance signal into the grid connection point and simultaneously acquire the voltage amplitude change and power change. This allows the equivalent impedance identification process to be completed online using the energy storage converter's own power output capability, without the need for external measurement equipment or offline parameter tuning, thus improving the real-time performance and convenience of impedance parameter acquisition. By calculating the equivalent impedance from the voltage amplitude change and power change, the equivalent resistance and equivalent reactance values ​​are obtained, enabling the impedance parameters to accurately reflect the actual electrical coupling relationship under the current grid operating state. This provides accurate parameter basis for subsequent power regulation calculation based on online impedance, effectively reducing compensation deviations caused by fixed sensitivity coefficient mismatch.

[0101] In one embodiment, step S220: controlling the energy storage converter to inject the disturbance signal into the grid connection point of the energy storage distribution network according to the enabled power regulation mode includes: S221: Extract the type identifier of the enabled power regulation mode, and extract the set of disturbance parameters and the set of disturbance times corresponding to the type identifier from the preset disturbance parameter configuration table; The preset disturbance parameter configuration table is a structured data table that is pre-built and persistently stored in the energy storage distribution network dispatch control unit. This configuration table uses the power regulation mode type identifier as a unique index key. The type identifier is the power regulation mode enumeration value obtained in step S210 according to the voltage deviation type matching, including three values: reactive power absorption regulation identifier, reactive power output regulation identifier, and phase-specific active power regulation identifier.

[0102] Each record in the disturbance parameter configuration table corresponds to a power regulation mode. Each record is internally divided into two parts: a disturbance parameter set substructure and a disturbance time set substructure. The disturbance parameter set substructure defines the waveform characteristic parameters of the disturbance signal to be injected under this regulation mode. Specifically, it includes: active disturbance amplitude, representing the offset of the active power reference value relative to the rated power during the active disturbance signal injection period; active disturbance frequency, representing the frequency of the periodic change of the active power reference value; active disturbance duration, representing the time from the start to the end of a single active disturbance signal injection; reactive disturbance amplitude, representing the offset of the reactive power reference value relative to the rated power during the reactive disturbance signal injection period; reactive disturbance frequency, representing the frequency of the periodic change of the reactive power reference value; and reactive disturbance duration, representing the time from the start to the end of a single reactive disturbance signal injection period.

[0103] The disturbance time set substructure is used to define the time-division injection timing parameters of active and reactive disturbance signals. Specifically, it includes: the start and end times of the first time window, which are used to delineate the time interval boundary for active disturbance signal injection; the start and end times of the second time window, which are used to delineate the time interval boundary for reactive disturbance signal injection; and the interval duration, which represents the delay waiting time length between the end time of the first time window and the start time of the second time window. The setting of this interval duration ensures that the grid voltage response caused by active disturbance injection has entered a steady state and that reactive disturbance injection will not cause superposition interference with the active disturbance response.

[0104] Specifically, the power regulation mode enumeration value written to the power regulation mode register in step S210 is read, and this enumeration value is extracted as a type identifier. The parameter configuration area of ​​the energy storage distribution network dispatch control unit is accessed, and all entries in the preset disturbance parameter configuration table are read.

[0105] The configuration table contains three master records: the record with the type identifier of reactive power absorption regulation is associated with the first disturbance parameter set and the first time set; the record with the type identifier of reactive power output regulation is associated with the second disturbance parameter set and the second time set; and the record with the type identifier of phase-specific active power regulation is associated with the third disturbance parameter set and the third time set.

[0106] The extracted type identifier is matched against the primary key of each record in the configuration table. When a match is found, the storage addresses of the disturbance parameter set field and the disturbance time set field in that record are located. From the disturbance parameter set field, three active power parameters (active power disturbance amplitude, active power disturbance frequency, and active power disturbance duration) and three reactive power parameters (reactive power disturbance amplitude, reactive power disturbance frequency, and reactive power disturbance duration) are extracted. From the disturbance time set field, the start and end times of the first time window, the start and end times of the second time window, and the interval between the two windows are extracted. The extracted disturbance parameter set and disturbance time set are associated, encapsulated, and output to the disturbance signal construction buffer as input parameters for generating the disturbance signal in step S222.

[0107] S222: Construct a disturbance signal based on the disturbance parameter set to obtain the disturbance signal including active disturbance signal and reactive disturbance signal; Specifically, the active power disturbance amplitude, active power disturbance frequency, active power disturbance duration, reactive power disturbance amplitude, reactive power disturbance frequency, and reactive power disturbance duration are read from the disturbance parameter set output to the disturbance signal construction buffer in step S221. The disturbance signal generation function is called to construct active power disturbance signal waveform data and reactive power disturbance signal waveform data respectively, using the rated grid frequency as the reference carrier.

[0108] The active disturbance signal is constructed as follows: using the active disturbance frequency as the envelope frequency and the rated phase voltage amplitude at the grid connection point as the reference, an active power reference value sequence is generated with the amplitude being the active disturbance amplitude and the duration being the active disturbance duration. This sequence is then converted into a command value sequence for the active current inner loop of the energy storage converter.

[0109] The reactive power disturbance signal is constructed as follows: using the reactive power disturbance frequency as the envelope frequency, a reactive power reference value sequence with amplitude equal to the reactive power disturbance amplitude and duration equal to the reactive power disturbance duration is generated, and this sequence is converted into a command value sequence for the reactive current inner loop of the energy storage converter.

[0110] The constructed active power reference value sequence and reactive power reference value sequence are encapsulated into active power disturbance signal and reactive power disturbance signal, respectively. The two data frames contain signal type identifier, amplitude parameter, frequency parameter, duration parameter and timestamp information.

[0111] S223: Control the energy storage converter to inject the active disturbance signal into the grid connection point within the first time window of the disturbance time set, and delay the interval duration in the disturbance time set after the first time window ends; Specifically, the start and end times of the first time window in the disturbance time set output to the disturbance signal construction buffer in step S221 are read, as well as the active disturbance signal stored in the disturbance signal output buffer in step S222. The current time of the system clock of the energy storage distribution network dispatch control unit is obtained, and the current time is compared with the start time of the first time window. When the system clock reaches the start time, the active disturbance injection process is triggered.

[0112] The active power disturbance signal is converted into an active power disturbance control command conforming to the communication protocol of the energy storage converter. The command carries an active power disturbance identifier, an active power reference value sequence, and a duration parameter. This command is written into the command buffer of the energy storage converter. After reading the active power disturbance control command from the command buffer, the energy storage converter adjusts the active current inner loop setpoint according to the active power reference value sequence specified in the command, and outputs active power fluctuations with corresponding amplitude and frequency to the grid connection point. The injection process continues until the system clock reaches the end of the first time window.

[0113] When the end time is reached, an active power disturbance stop command is issued to the energy storage converter. The energy storage converter exits the active power disturbance injection state and restores to the active power setpoint before the disturbance. Starting from the end time, an interval timer is started, with the timing duration set to the interval duration in the disturbance time set. During the timing period, the energy storage converter maintains steady-state power output and does not perform any disturbance injection operation, providing a grid response recovery window for the reactive power disturbance injection in step S224.

[0114] S224: After the interval duration ends, the energy storage converter is controlled to inject the reactive power disturbance signal into the grid connection point within the second time window of the disturbance time set, wherein the first time window and the second time window do not overlap.

[0115] Specifically, when the accumulated duration reaches the interval duration in the disturbance time set, the interval waiting condition is determined to be met. The start and end times of the second time window in the disturbance time set output to the disturbance signal construction buffer in step S221 are obtained, along with the reactive power disturbance signal stored in the disturbance signal output buffer in step S222. The current system clock time is compared with the start time of the second time window, and the reactive power disturbance injection process is triggered when the start time is reached. The reactive power disturbance signal is converted into a reactive power disturbance control command conforming to the energy storage converter communication protocol. The command carries a signal type of reactive power disturbance identifier, a reactive power reference value sequence, and a duration parameter. This command is written into the energy storage converter command buffer.

[0116] After the energy storage converter reads the reactive power disturbance control command from the command buffer, it adjusts the reactive current inner loop setpoint according to the reactive power reference value sequence specified in the command, and outputs the corresponding amplitude and frequency of reactive power fluctuation to the grid connection point. The injection process continues until the system clock reaches the end of the second time window.

[0117] When the end time is reached, a reactive power disturbance stop command is issued to the energy storage converter. The energy storage converter exits the reactive power disturbance injection state and restores the reactive power setpoint before the disturbance. Since the start time of the second time window is no earlier than the sum of the end time of the first time window and the interval duration, the first time window and the second time window have no overlapping intervals on the time axis, ensuring that the active power disturbance response and the reactive power disturbance response are independent and distinguishable.

[0118] The method provided in this embodiment extracts the type identifier of the enabled power regulation mode and matches the corresponding disturbance parameter set and disturbance time set from the preset disturbance parameter configuration table. This enables parameterized configuration and automatic extraction of the waveform characteristics and timing arrangement of the disturbance signals to be injected under different voltage deviation types, eliminating the need for manual setting of disturbance parameters in each scheduling cycle. By constructing active and reactive disturbance signals separately according to the disturbance parameter set, the amplitude, frequency, and duration of the two disturbance signals can be independently defined according to the regulation mode, ensuring that the waveform characteristics of the injected disturbance signal accurately match the current regulation requirements. By injecting active and reactive disturbance signals separately within the first and second time windows defined by the disturbance time set and setting non-overlapping interval durations, the active and reactive disturbance responses are separated in the time domain, avoiding mutual interference caused by the superposition of the two types of disturbance responses in the calculation of equivalent resistance and equivalent reactance values, thus improving the accuracy of online identification of equivalent impedance parameters.

[0119] like Figure 5 As shown, in one embodiment, step S300: determining the corresponding voltage compensation target value according to the voltage deviation type, and calculating the phase power regulation of the energy storage converter based on the voltage compensation target value and the equivalent impedance parameter, includes: Step S310: Extract the voltage compensation target value corresponding to the voltage deviation type from the preset compensation mapping table according to the voltage deviation type; Among them, the preset compensation mapping table is a data table structure that stores the mapping relationship between voltage deviation type identifiers and corresponding voltage compensation target values. It uses voltage exceeding the upper limit type, voltage exceeding the lower limit type, and three-phase voltage imbalance type as index keys, and maps them to the upper limit recovery target value, lower limit recovery target value, and imbalance recovery target value, respectively. It is deployed in the configuration parameter area of ​​the energy storage distribution network dispatch control unit.

[0120] Specifically, the voltage deviation type identifier output in step S140 is used. The parameter configuration area of ​​the energy storage distribution network dispatch control unit is accessed, and all entries in the preset compensation mapping table are read. This compensation mapping table contains three sets of key-value pairs: the upper limit type key is associated with the upper limit recovery target value, which is the upper limit of the positive deviation of the rated phase voltage amplitude at the grid connection point; the lower limit type key is associated with the lower limit recovery target value, which is the lower limit of the negative deviation of the rated phase voltage amplitude at the grid connection point; and the three-phase voltage imbalance type key is associated with the imbalance degree recovery target value, which is the ratio obtained by multiplying the preset imbalance degree threshold by the preset recovery coefficient.

[0121] The voltage deviation type identifier is compared with each index key in the preset compensation mapping table using string matching. When a match is successful, the voltage compensation target value corresponding to that key is extracted, and the target value is encapsulated and associated with the target value type identifier before being written into the compensation target register of the current scheduling cycle. When the voltage deviation type contains multiple type combinations, the voltage compensation target value corresponding to each type is extracted and stored in a preset priority order. The extracted voltage compensation target value is output as the reference for the phase-by-phase comparison in step S320.

[0122] Step S320: Compare the three-phase voltage data of each node with the voltage compensation target value phase by phase to obtain the voltage deviation compensation amount of each phase of each node; Specifically, the voltage compensation target value and target value type identifier written in step S310 are read, and the voltage amplitude of phase A, phase B and phase C of each node in the current scheduling period are extracted from the effective voltage data sequence of each node output in step S112.

[0123] When the target value type is identified as a voltage amplitude target, the voltage amplitude of phase A is subtracted from the voltage compensation target value at each node to calculate the voltage deviation compensation amount of phase A; the voltage amplitude of phase B is subtracted from the voltage compensation target value to calculate the voltage deviation compensation amount of phase B; the voltage amplitude of phase C is subtracted from the voltage compensation target value to calculate the voltage deviation compensation amount of phase C.

[0124] When the target value type is identified as an unbalanced target, the current three-phase voltage unbalance is calculated from the positive sequence component amplitude and negative sequence component amplitude of each node output in step S113. The unbalance is then subtracted from the voltage compensation target value to obtain the unbalance deviation. Based on the conversion relationship between unbalance and voltage deviation of each phase, the unbalance deviation is allocated to phase A, phase B and phase C to form the voltage deviation compensation amount of each phase.

[0125] Step S330: Divide the voltage deviation compensation amount of each phase by the corresponding equivalent impedance value in the equivalent impedance parameter to obtain the initial power compensation amount of each phase. Specifically, the voltage deviation compensation amounts for each phase at each node are read, including the voltage deviation compensation amounts for phase A, phase B, and phase C. The equivalent impedance values ​​identified online for the current scheduling cycle are extracted from the equivalent impedance parameters.

[0126] When the power regulation mode activated in step S210 is reactive power regulation or active power regulation with three-phase balance compensation, the equivalent impedance value is a unified equivalent impedance modulus. When the power regulation mode is phase-by-phase regulation, the equivalent impedance values ​​of phase A, phase B, and phase C are extracted from the equivalent impedance parameters respectively. The phase A voltage deviation compensation is divided by the phase A equivalent impedance value, and substituted into the initial power compensation calculation formula P. A =ΔU A / Z A The initial power compensation amount of phase A is obtained; the initial power compensation amount of phase B is calculated by dividing the voltage deviation compensation amount of phase B by the equivalent impedance value of phase B; the initial power compensation amount of phase C is calculated by dividing the voltage deviation compensation amount of phase C by the equivalent impedance value of phase C.

[0127] In the calculation formula, ΔU represents the voltage deviation compensation amount, and Z represents the equivalent impedance value of the corresponding phase. If the voltage deviation compensation amount is positive, the initial power compensation amount is also positive, indicating that the energy storage converter needs to output power to raise the voltage; if the voltage deviation compensation amount is negative, the initial power compensation amount is also negative, indicating that the energy storage converter needs to absorb power to lower the voltage.

[0128] Step S340: Based on the current power adjustment method, extract the corresponding phase allocation weight coefficient from the preset phase weight table, multiply the initial power compensation amount of each phase by the corresponding phase allocation weight coefficient, and obtain the power adjustment amount of each phase.

[0129] The method provided in this embodiment extracts the corresponding voltage compensation target value from a preset compensation mapping table according to the voltage deviation type. This allows different voltage recovery benchmarks to be corresponding to three types of operating conditions: voltage exceeding the upper limit, voltage exceeding the lower limit, and three-phase imbalance. This overcomes the shortcomings of existing methods that use fixed compensation target values, which are difficult to adapt to the differentiated management needs of different voltage quality problems. By comparing the three-phase voltage data of each node with the voltage compensation target value phase by phase, the voltage deviation compensation amount of each phase at each node is obtained. The initial power compensation amount is obtained by dividing the voltage deviation compensation amount of each phase by the online identified equivalent impedance value. This ensures that the calculation of the power regulation amount matches the actual transmission characteristics of the current power grid, reducing compensation deviations caused by impedance parameter mismatch. By extracting the phase allocation weight coefficient from the preset phase weight table based on the current power regulation method and weighting the initial power compensation amount of each phase, the power allocation of each phase under phase regulation conditions is dynamically adapted to the severity of three-phase voltage imbalance, improving the accuracy of voltage compensation and the efficiency of three-phase balance restoration.

[0130] In one embodiment, step S340: extracting the corresponding inter-phase allocation weight coefficient from the preset inter-phase weight table based on the current power regulation method includes: Step S341: When the power regulation mode is phase-by-phase regulation, obtain the calculated value of the three-phase voltage imbalance of the current distribution network of the energy storage area; Specifically, the enumeration value of the current power regulation mode is read. When the enumeration value equals the phase-specific active power regulation flag, the execution flow of step S341 is triggered. From the positive-sequence and negative-sequence component amplitudes of each node, the positive-sequence and negative-sequence component amplitudes corresponding to the node where the grid connection point is located are extracted. The negative-sequence component amplitude is divided by the positive-sequence component amplitude, and substituted into the three-phase voltage imbalance calculation formula. ; This represents the calculated value of the three-phase voltage imbalance (output as a percentage). The negative-order component amplitude obtained in step S113, The positive sequence component amplitude is calculated in step S113. If the positive sequence component amplitude is zero, the unbalance calculation value is directly set to the preset maximum value.

[0131] The calculated value of the three-phase voltage imbalance at the grid connection point in the current scheduling cycle is obtained. If the positive-sequence and negative-sequence amplitudes of this node have already undergone sliding window mean filtering in step S113, the ratio of the filtered mean values ​​of the positive-sequence and negative-sequence amplitudes is directly used for calculation. The calculated value of the three-phase voltage imbalance is temporarily stored in the imbalance buffer register in the form of a percentage or per-unit value, and used as the input comparison quantity for traversing and matching the imbalance interval in step S342.

[0132] When the power regulation mode enumeration value is not equal to the phase regulation, skip the execution of steps S341 to S343, and directly use the three-phase equal weighting coefficient combination described in step S340 as the phase distribution weighting coefficient output.

[0133] Step S342: The calculated value of the three-phase voltage imbalance is matched with multiple preset imbalance interval thresholds to determine the target imbalance interval to which the calculated value of the three-phase voltage imbalance belongs. Specifically, the calculated value of the three-phase voltage imbalance is read. The parameter configuration area of ​​the control unit for energy storage distribution network dispatch is accessed, and all threshold records in the preset imbalance interval threshold configuration table are read. This configuration table defines the upper limit threshold for the mild imbalance interval, the upper limit threshold for the moderate imbalance interval, and the lower limit threshold for the severe imbalance interval, with the three thresholds arranged in ascending order.

[0134] The calculated three-phase voltage unbalance is compared with the upper threshold of the mild unbalance range. When the calculated value is less than or equal to the upper threshold, the target unbalance range is determined to be a mild unbalance range, and a mild range identifier is generated. When the calculated value is greater than the upper threshold of the mild unbalance range but less than or equal to the upper threshold of the moderate unbalance range, the target unbalance range is determined to be a moderate unbalance range, and a moderate range identifier is generated. When the calculated value is greater than the upper threshold of the moderate unbalance range, the target unbalance range is determined to be a severe unbalance range, and a severe range identifier is generated.

[0135] Step S343: Extract the dynamic phase allocation weight coefficients that have a mapping relationship with the target imbalance interval from the preset dynamic weight mapping table, and use the dynamic phase allocation weight coefficients as the phase allocation weight coefficients.

[0136] The preset dynamic weight mapping table is a data table structure that stores the mapping relationship between each imbalance interval and the corresponding dynamic phase weight allocation coefficient. It uses the imbalance interval identifier as the main index key and maps it to a set of values ​​of the dynamic weight coefficient of phase A, dynamic weight coefficient of phase B, and dynamic weight coefficient of phase C.

[0137] Specifically, the target imbalance range is read. The parameter configuration area of ​​the energy storage distribution network dispatch control unit is accessed, and all entries in the preset dynamic weight mapping table are read. This dynamic weight mapping table contains three main records: a mild imbalance range identifier associated with the first weight combination, in which the weight coefficients of phase A, phase B, and phase C are similar or equal; a moderate imbalance range identifier associated with the second weight combination, in which the phase with the highest voltage imbalance is assigned a higher weight coefficient than the other two phases; and a severe imbalance range identifier associated with the third weight combination, in which the phase with the highest voltage imbalance is assigned a significantly higher weight coefficient than the other two phases.

[0138] The target imbalance interval identifier is matched against the primary index key of each record in the dynamic weight mapping table. When a match is found, the dynamic weight coefficients for phase A, phase B, and phase C stored in that record are extracted. The extracted three dynamic weight coefficients are normalized to ensure that their sum equals a preset normalization value. After successful verification, they are written into the phase weight output register as dynamic phase-to-phase weight allocation coefficients, serving as the actual coefficients used in step S340 to replace the default average weight allocation when calculating the power regulation of each phase. When a combination of three-phase voltage imbalance type and voltage exceeding the upper or lower limit type exists, the dynamic phase-to-phase weight allocation coefficients and the average weight coefficients corresponding to reactive power regulation are applied to the calculation of the phase active power regulation and reactive power regulation, respectively, achieving coordinated cooperation between active and reactive power compensation.

[0139] The method provided in this embodiment obtains the calculated value of the current three-phase voltage imbalance in the distribution network of the energy storage area when the power regulation mode is phase-by-phase regulation. This quantifies the severity of the three-phase imbalance into a specific numerical value, providing an accurate comparison benchmark for the dynamic adjustment of the phase weight coefficients. By matching the calculated value of the three-phase voltage imbalance with multiple preset imbalance interval thresholds and determining the target imbalance interval, it achieves graded identification of mild, moderate, and severe imbalance conditions, overcoming the deficiency of fixed weight allocation in adapting to the differentiated management needs of different imbalance degrees. By extracting dynamic phase allocation weight coefficients that have a mapping relationship with the target imbalance interval from a preset dynamic weight mapping table, the allocation ratio of power regulation in each phase adaptively changes with the actual imbalance degree. Phases with more significant voltage deviations receive greater compensation weights, improving the efficiency and accuracy of three-phase voltage balance restoration under phase-by-phase regulation conditions.

[0140] In one embodiment, step S400: controlling the energy storage converter to perform voltage compensation on the energy storage distribution network according to the power regulation of each phase includes: Step S410: Extract the phase identifier and regulation parameters carried in the power regulation of each phase, and traverse the phase sequence configuration parameter table of the energy storage converter with the phase identifier as the index to obtain the power output channel address corresponding to the phase identifier. The phase sequence configuration parameter table uses the phase sequence identifier as the unique primary index key. The phase sequence identifier has three enumerated values: A-phase identifier, B-phase identifier, and C-phase identifier, which correspond to the three-phase line numbers on the low-voltage side of the energy storage distribution network in the distribution area. Each index key corresponds to a mapping record, and each mapping record consists of three address fields. Each record corresponds to the pulse width modulation channel address, current sampling channel address, and power calculation channel address of the corresponding phase in the power module of the energy storage converter, and is used to map the logical phase sequence of the scheduling layer to the physical execution channel of the converter.

[0141] Specifically, the power regulation data structure for each phase is read. This structure is an array containing three elements: phase A, phase B, and phase C. Each element consists of a phase identifier field and a regulation parameter field. The phase identifier and regulation parameters for phase A, phase B, and phase C are extracted sequentially according to the array elements and temporarily stored in the phase sequence parsing buffer. The parameter storage area of ​​the energy storage converter control unit is accessed, and all entries in the phase sequence configuration parameter table are read.

[0142] The configuration parameter table contains three records: the first record's index key is the A-phase identifier, associated with the A-phase pulse width modulation channel address, the A-phase current sampling channel address, and the A-phase power calculation channel address; the second record's index key is the B-phase identifier, associated with the corresponding B-phase channel address; and the third record's index key is the C-phase identifier, associated with the corresponding C-phase channel address. The extracted A-phase identifier is matched against each record's index key in the configuration parameter table. If a match is successful, the pulse width modulation channel address in that record is extracted as the A-phase power output channel address. This matching and extraction operation is repeated sequentially using the B-phase identifier and C-phase identifier as indices to obtain the B-phase power output channel address and the C-phase power output channel address. Each phase adjustment parameter is associated and encapsulated with its corresponding power output channel address to form a channel mapping data pair, which is written to the channel mapping buffer as the input for the instruction conversion in step S420.

[0143] Step S420: Based on the power output channel address, convert the adjustment parameters into power control command frames for each phase that conform to the communication protocol of the energy storage converter according to the preset power command conversion rules; Specifically, each channel mapping data pair is read, and each data pair contains the power output channel address and the corresponding regulation parameter. The preset power command conversion rule is read from the energy storage converter communication protocol configuration area. This conversion rule defines the mapping format from the regulation parameter to the command frame data payload, including the length definition and byte order arrangement rules of the command frame header identifier field, channel address field, power setpoint field, and checksum field.

[0144] For the A-phase channel mapping data pair, a conversion operation is performed: the power output channel address is retrieved and filled into the channel address field of the instruction frame; the A-phase regulation parameters are converted to fixed-point integer format according to the scaling ratio specified in the communication protocol and then filled into the power setpoint field; the function code identifier of the converter power regulation instruction is written to the instruction frame header; cyclic redundancy check calculation is performed on the filled fields, and the check result is filled into the checksum field, encapsulating the data to form a complete A-phase power control instruction frame. The same conversion and encapsulation operation is then performed on the B-phase and C-phase channel mapping data pairs, generating B-phase and C-phase power control instruction frames respectively. The length of each instruction frame conforms to the fixed number of bytes specified in the communication protocol, and the internal field alignment is consistent with the timing requirements of the converter communication controller hardware interface.

[0145] Step S430: Control the energy storage converter to adjust the output power of each phase according to the power control command frame of each phase, so as to perform voltage compensation for the energy storage distribution network.

[0146] Specifically, the system reads the power control command frames for phase A, phase B, and phase C. It then calls the energy storage converter communication interface driver function to transmit each command frame sequentially to the energy storage converter control unit via the communication bus, following a preset transmission order: phase A first, then phase B, and finally phase C. Upon receiving the command frame, the energy storage converter control unit first verifies the integrity of the frame header identifier and checksum fields. If the verification is successful, it parses the channel address field and the power setpoint field, and writes the power setpoint into the comparison register pointed to by the corresponding pulse width modulation channel address.

[0147] The converter power module adjusts the switching duty cycle of the corresponding phase bridge arm in real time based on the updated comparison register value, thereby changing the amplitude of the fundamental component of the output current of that phase and achieving precise regulation of the output power. During the power regulation process, the energy storage converter control unit continuously collects the real-time current and power feedback values ​​of each phase through the current sampling channel and the power calculation channel, and performs closed-loop error correction with the power setpoint.

[0148] The real-time change trend of the voltage amplitude of each phase at the grid connection point is obtained synchronously from the voltage monitoring unit described in step S100. When the voltage amplitude of phase A, phase B and phase C are all monitored to recover to the preset voltage fluctuation range and the calculated value of the three-phase voltage imbalance is reduced to below the preset imbalance threshold, it is determined that the voltage compensation adjustment target has been achieved, the power adjustment execution process of the current scheduling cycle ends, and the energy storage converter maintains the adjusted output power state and operates stably.

[0149] The method provided in this embodiment extracts the phase identifier and regulation parameters from the power regulation of each phase and uses the phase identifier as an index to traverse the phase sequence configuration parameter table to obtain the corresponding power output channel address. This achieves a precise mapping between the logical phase sequence of the scheduling layer and the physical execution channel of the converter, avoiding incorrect power output regulation caused by errors in the correspondence between the logical phase sequence and the hardware channel. By converting the regulation parameters into power control command frames conforming to the communication protocol of the energy storage converter according to the power output channel address and a preset power command conversion rule, the encoding format and transmission timing of the power regulation command are fully matched with the requirements of the converter hardware interface, improving the success rate of command issuance and the reliability of execution. By controlling the energy storage converter to independently adjust the output power of each phase according to the power control command frames of each phase, precise phase-by-phase compensation of the voltage of phases A, B, and C of the energy storage distribution network in the substation is achieved. This effectively restores the voltage of each phase to the allowable range and improves the three-phase balance without the need for additional compensation equipment.

[0150] Reference Figure 6 As shown, the present invention also provides an intelligent dispatching device for energy storage distribution networks, applied to the intelligent dispatching method for energy storage distribution networks described in any one of the above-mentioned methods, comprising: The acquisition and identification module is used to acquire three-phase voltage data of multiple nodes along the power supply direction of the energy storage distribution network, and identify the voltage deviation type based on the three-phase voltage data. The acquisition module is enabled, which is used to enable the corresponding power regulation mode according to the voltage deviation type, and control the energy storage converter of the energy storage distribution network to inject a disturbance signal to obtain the equivalent impedance parameter. The target adjustment module is used to determine the corresponding voltage compensation target value according to the voltage deviation type, and to calculate the power adjustment of each phase of the energy storage converter based on the voltage compensation target value and the equivalent impedance parameter. A control compensation module is used to control the energy storage converter to perform voltage compensation on the energy storage distribution network according to the power adjustment of each phase.

[0151] This application also provides a computer device, such as... Figure 7 As shown, the computer device includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor. When the processor executes the computer program, it implements the steps in any of the above method embodiments, or when the processor executes the computer program, it implements the functions of each module / unit in the above device embodiments.

[0152] For example, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the computer device.

[0153] Those skilled in the art will understand that Figure 7 The computer device described is merely an example and does not constitute a limitation on the computer device. It may include more or fewer components than shown, or combine certain components, or different components. For example, the computer device may also include input / output devices, network access devices, buses, etc.

[0154] The aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), or field-programmable gate arrays (FPGAs). Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0155] The memory can be an internal storage unit of the computer device, such as a hard drive or RAM. The memory can also be an external storage device of the computer device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory can include both internal and external storage units of the computer device.

[0156] This application also provides a readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the various method embodiments above.

[0157] This application provides a computer program product that, when run on an electronic device, enables the electronic device to perform the steps described in the various method embodiments above.

[0158] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0159] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0160] 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.

[0161] In the embodiments provided in this application, it should be understood that the disclosed apparatus / devices and methods can be implemented in other ways. For example, the apparatus / device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units 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 through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0162] 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 units can be selected to achieve the purpose of this embodiment according to actual needs.

[0163] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for intelligent dispatching of energy storage power distribution network, characterized in that, include: Collect three-phase voltage data from multiple nodes along the power supply direction of the energy storage distribution network, and identify the voltage deviation type based on the three-phase voltage data; The corresponding power regulation mode is activated according to the voltage deviation type, and the energy storage converter of the energy storage distribution network is controlled to inject a disturbance signal to obtain the equivalent impedance parameter. Based on the voltage deviation type, the corresponding voltage compensation target value is determined, and the power regulation of each phase of the energy storage converter is calculated based on the voltage compensation target value and the equivalent impedance parameter. The energy storage converter is controlled to perform voltage compensation on the energy storage distribution network according to the power regulation of each phase.

2. The intelligent dispatching method of energy storage power distribution network according to claim 1, characterized in that, The process of collecting three-phase voltage data from multiple nodes along the power supply direction of the energy storage distribution network, and identifying voltage deviation types based on the three-phase voltage data, includes: Voltage calculations are performed based on the three-phase voltage data of each node to obtain the positive-sequence component amplitude and the negative-sequence component amplitude of each node. The positive sequence component amplitude of each node is compared with a preset voltage threshold. When the positive sequence component amplitude of a node is greater than the upper limit of the preset voltage threshold, the node is marked as a voltage upper limit node. When the positive sequence component amplitude of a node is less than the lower limit of the preset voltage threshold, the node is marked as a voltage lower limit node. Calculate the amplitude ratio of the negative sequence component to the positive sequence component. When the amplitude ratio of a node is greater than a preset imbalance threshold, the node is marked as a voltage imbalance node. The marking results of all nodes are summarized, and the voltage deviation type is determined based on the marking results. The voltage deviation type includes voltage exceeding the upper limit, voltage exceeding the lower limit, and three-phase voltage imbalance.

3. The intelligent dispatching method of energy storage power distribution network according to claim 1, characterized in that, The step of activating the corresponding power regulation mode according to the voltage deviation type and controlling the energy storage converter of the energy storage distribution network to inject a disturbance signal to obtain the equivalent impedance parameter includes: According to the voltage deviation type, the preset mapping table is traversed to match and enable the corresponding power regulation mode, which includes at least one of reactive power regulation, active power regulation and phase-by-phase regulation. According to the activated power regulation mode, the energy storage converter is controlled to inject the disturbance signal into the grid connection point of the energy storage distribution network; After the disturbance signal is injected, the voltage amplitude change and power change at the grid connection point are obtained; The equivalent impedance parameters are obtained by calculating the equivalent impedance of the voltage amplitude change and the power change.

4. The intelligent dispatching method of energy storage power distribution network according to claim 3, characterized in that, The step of controlling the energy storage converter to inject the disturbance signal into the grid connection point of the energy storage distribution network according to the activated power regulation mode includes: Extract the type identifier of the enabled power regulation mode, and extract the set of disturbance parameters and the set of disturbance times corresponding to the type identifier from the preset disturbance parameter configuration table; The disturbance signal is constructed based on the disturbance parameter set to obtain the disturbance signal including active disturbance signal and reactive disturbance signal; Within a first time window of the disturbance time set, the energy storage converter is controlled to inject the active disturbance signal into the grid connection point, and after the first time window ends, the interval duration in the disturbance time set is delayed. After the interval period ends, the energy storage converter is controlled to inject the reactive power disturbance signal into the grid connection point within the second time window of the disturbance time set, wherein the first time window and the second time window do not overlap.

5. The intelligent dispatching method of energy storage power distribution network according to claim 1, characterized in that, The step of determining the corresponding voltage compensation target value based on the voltage deviation type, and calculating the phase power regulation of the energy storage converter based on the voltage compensation target value and the equivalent impedance parameter, includes: Based on the voltage deviation type, extract the voltage compensation target value corresponding to the voltage deviation type from the preset compensation mapping table; The three-phase voltage data of each node are compared with the voltage compensation target value phase by phase to obtain the voltage deviation compensation amount of each phase of each node. Divide the voltage deviation compensation amount of each phase by the corresponding equivalent impedance value in the equivalent impedance parameter to obtain the initial power compensation amount of each phase. Based on the current power regulation method, the corresponding phase allocation weight coefficient is extracted from the preset phase weight table, and the initial power compensation amount of each phase is multiplied by the corresponding phase allocation weight coefficient to obtain the power regulation amount of each phase.

6. The intelligent dispatching method of energy storage power distribution network according to claim 1, characterized in that, The step of controlling the energy storage converter to perform voltage compensation for the energy storage distribution network based on the power regulation of each phase includes: Extract the phase identifier and regulation parameters carried in the power regulation of each phase, and traverse the phase sequence configuration parameter table of the energy storage converter with the phase identifier as the index to obtain the power output channel address corresponding to the phase identifier. Based on the power output channel address and according to the preset power command conversion rules, the adjustment parameters are converted into power control command frames for each phase that conform to the communication protocol of the energy storage converter. The energy storage converter is controlled to adjust the output power of each phase according to the power control command frame of each phase, so as to perform voltage compensation for the energy storage distribution network.

7. A smart dispatching device for energy storage power distribution network, characterized in that, The intelligent dispatching method for energy storage distribution networks according to any one of claims 1-6 includes: The acquisition and identification module is used to acquire three-phase voltage data of multiple nodes along the power supply direction of the energy storage distribution network, and identify the voltage deviation type based on the three-phase voltage data. The acquisition module is enabled, which is used to enable the corresponding power regulation mode according to the voltage deviation type, and control the energy storage converter of the energy storage distribution network to inject a disturbance signal to obtain the equivalent impedance parameter. The target adjustment module is used to determine the corresponding voltage compensation target value according to the voltage deviation type, and to calculate the power adjustment of each phase of the energy storage converter based on the voltage compensation target value and the equivalent impedance parameter. A control compensation module is used to control the energy storage converter to perform voltage compensation on the energy storage distribution network according to the power adjustment of each phase.

8. 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 steps of the intelligent scheduling method for energy storage distribution networks as described in any one of claims 1 to 6.

9. A readable storage medium, the readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the intelligent scheduling method for energy storage distribution networks as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, enables the implementation of the steps of the intelligent dispatching method for energy storage distribution networks as described in any one of claims 1 to 6.

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