Three-phase imbalance treatment method, device and equipment based on phase switching and medium

Abstract

The application discloses a three-phase imbalance treatment method and device based on phase switching, equipment and medium, relates to three-phase imbalance treatment technical field, the method includes: according to the operation state data of target distribution network, the influence sensitivity of each user on each phase is calculated;According to the pre-acquired safety margin and influence sensitivity, respectively generate each user in each phase on the dynamic quota;According to the influence sensitivity and the current remaining available space of the dynamic quota, respectively generate each user in each phase on the power grid risk score, to obtain the optimal phase matching result of each user according to the power grid risk score, and generate the three-phase imbalance treatment scheme of target distribution network according to the optimal phase matching result.The application can solve the technical problem that the same device cannot be connected to different phases to produce differentiated physical impact on the power grid when the prior art device phase distribution is performed, resulting in the disconnection between the selected phase result and the actual safety state of the power grid.

Description

Technical Field

[0001] This invention relates to the field of three-phase imbalance control technology, and in particular to a three-phase imbalance control method, apparatus, equipment and medium based on phase switching. Background Technology

[0002] With the rapid adoption of distributed resources such as residential photovoltaic systems, energy storage, electric vehicles, and heat pumps in low-voltage distribution networks, the number of single-phase devices connected to the distribution network has increased significantly. Three-phase imbalance has evolved from an occasional anomaly into a routine operational risk. Three-phase imbalance not only leads to voltage exceeding limits in some phases and increased line losses, but also causes safety hazards such as shortened lifespan of grid equipment and neutral line overcurrent, seriously affecting the operational safety and power quality of the distribution network. Therefore, effectively managing three-phase imbalance has become a critical issue that urgently needs to be addressed in the field of distribution network operation and control.

[0003] Currently, existing solutions typically begin by collecting operating parameters for each phase of the distribution network, calculating the load distribution or voltage deviation for each phase, and then switching the switchable equipment from the phase with heavier load or higher voltage to the phase with lighter load or lower voltage, aiming to achieve three-phase balance. However, the decision-making basis of this method only stays at the level of the load size or voltage deviation of each phase, without considering the degree of differential impact on the physical state of the power grid after the same equipment is connected to different phases. Specifically, the actual voltage drop or rise of the phase at that node, the degree of deterioration of the three-phase imbalance factor, and the intensity of the neutral current may differ significantly after the same equipment is connected to phase A and phase B. Existing methods cannot identify and quantify this differential impact, leading to a disconnect between the phase selection result and the actual safety state of the power grid. If the phase selection result is too aggressive, allocating the equipment to the phase with greater actual physical impact will trigger the risk of the power grid exceeding its limits. If it is too conservative, the inability to accurately assess the actual carrying capacity of each phase will limit the equipment's adjustment space, resulting in a waste of the distribution network's flexibility resources. Therefore, how to quantitatively evaluate the differentiated physical impacts of the same equipment on the power grid after it is connected to different phases during the phase allocation process, in order to solve the problem of the disconnect between the phase selection results and the actual safety status of the power grid, has become a key technical problem that urgently needs to be solved in this field. Summary of the Invention

[0004] This invention provides a three-phase imbalance management method, device, equipment, and medium based on phase switching, which can solve the technical problem that when the existing technology allocates equipment phases, it cannot distinguish the different physical impacts on the power grid caused by the same equipment connected to different phases, resulting in the phase selection result being out of sync with the actual safety status of the power grid.

[0005] In a first aspect, embodiments of the present invention provide a three-phase imbalance mitigation method based on phase switching, comprising: Acquire the current operating status data of the target distribution network, and calculate the impact sensitivity of each user on each phase based on the operating status data; wherein, the impact sensitivity characterizes the impact of user power changes on grid status changes; the impact sensitivity includes inlet impact sensitivity and outlet impact sensitivity; Based on the pre-acquired safety margin and the impact sensitivity, a dynamic quota for each user on each phase is generated; wherein, the dynamic quota includes an import dynamic quota that limits the inlet power and an export dynamic quota that limits the outlet power. Based on the impact sensitivity and the current remaining usable space of the dynamic quota, a grid risk score is generated for each user on each phase. Based on the grid risk score, the optimal phase matching result for each user is obtained. Based on the optimal phase matching result, the current three-phase imbalance management scheme for the target distribution network is generated.

[0006] This invention quantifies the impact of a user's increased electricity consumption (input) and increased power generation (output) on the same phase by calculating impact sensitivity. This impact affects the phase voltage, voltage imbalance factor, and neutral current of that node. Impact sensitivity is key data characterizing the impact of equipment connected to different phases on the power grid. Dynamic quotas are generated to bridge the gap between quantified physical impacts and actionable boundaries. A grid risk score is then generated to map the sensitivity / margin relationship of the three physical dimensions (voltage, imbalance, and neutral) and quota occupancy into a single value. This score directly addresses the danger to the grid if the user continues to consume / generate electricity in that phase. Based on the grid risk score, the optimal phase matching for each user is determined, allocating equipment to the phase with the lowest risk score—the phase with the least physical impact. Finally, a corresponding mitigation plan is generated to obtain an actionable and practical solution.

[0007] Compared with existing technologies, the embodiments of the present invention first introduce impact sensitivity, quantifying the direction and degree of the impact of the same user increasing electricity consumption and generation on phase voltage, voltage imbalance factor and neutral current in the same phase into calculable values, so that subsequent decisions have a physical basis; then, based on the safety margin of each dimension and the corresponding impact sensitivity, the dynamic quota of how much power the user can safely enter or exit in that phase is obtained, transforming the physical impact quantification result into an executable safety boundary; finally, based on the impact sensitivity and the remaining space of the dynamic quota, a grid risk score is generated, and the equipment is allocated to the phase with the lowest risk according to the score. The combination of the above features transforms the phase allocation of equipment from relying on indirect indicators such as the load size or voltage deviation of each phase to making decisions directly based on the actual physical impact on the power grid after the equipment is connected to that phase. This achieves a precise match between the phase selection result and the physical safety status of the power grid, enabling equipment to be allocated to the phase with the least impact on it. Three-phase imbalance is effectively suppressed and no new over-limit risks are introduced. This solves the technical problem that existing technologies cannot distinguish the different physical impacts of the same equipment connected to different phases on the power grid, leading to a disconnect between the phase selection result and the actual safety status of the power grid.

[0008] In some preferred embodiments of the first aspect, the operating status data includes the phase voltage, voltage imbalance factor, neutral current, and net switching power for each phase. Specifically, based on the aforementioned operational status data, the impact sensitivity of each user in each phase is calculated as follows: For each phase of each user, the partial derivative of the net switching power with respect to the phase voltage is calculated to obtain the voltage sensitivity; For each phase of each user, the partial derivative of the net switching power with respect to the voltage imbalance factor is calculated to obtain the voltage imbalance sensitivity. For each phase of each user, the partial derivative of the net exchange power with respect to the neutral line current is calculated to obtain the neutral line sensitivity; By summarizing the voltage sensitivity, voltage imbalance sensitivity, and neutral line sensitivity of each user in each phase, the influence sensitivity of each user in each phase can be obtained.

[0009] This invention quantifies the impact of user power variations on phase voltage, voltage imbalance factor, and neutral current using three partial derivatives, which are then aggregated to form a complete sensitivity dataset. This sensitivity dataset ensures that subsequent quota calculations and risk scoring are based on complete physical perception. If any dimension of sensitivity is missing, subsequent quotas and scoring will be distorted due to the omission of key physical constraints.

[0010] In some preferred embodiments of the first aspect, the safety margin includes the phase voltage margin, voltage imbalance margin, and neutral current margin for each user in each phase. The step of generating a dynamic quota for each user in each phase based on the pre-acquired security margin and the impact sensitivity includes: For each phase of each user, a first candidate quota is calculated based on the phase voltage margin and voltage sensitivity; a second candidate quota is calculated based on the voltage imbalance margin and imbalance sensitivity; and a third candidate quota is calculated based on the neutral line current margin and neutral line sensitivity. The minimum value among the first candidate quota, the second candidate quota, and the third candidate quota is taken as the dynamic quota for each user in each phase.

[0011] This invention, in its embodiments, obtains three candidate quotas by dividing the margins of three physical dimensions by their corresponding sensitivities, and takes the minimum value as the dynamic quota for that user on that phase. The essence of taking the minimum value is to simultaneously satisfy the safety constraints of three dimensions: voltage, voltage imbalance, and neutral current (if any one constraint is breached, the equipment operation is unsafe). This ensures that the quota generation is not based on empirical estimation or a rough boundary under a single-dimensional constraint, but is strictly limited to the tightest physical constraint under the current network conditions. This ensures that subsequent equipment operating within this quota range will not trigger any type of grid safety violation, guaranteeing the reliability of phase switching and grid stability.

[0012] In some preferred embodiments of the first aspect, a grid risk score for each user on each phase is generated based on the impact sensitivity and the current remaining usable space of the dynamic quota, including: Obtain the current power data of each user, and calculate the current remaining usable space of the dynamic quota for each user based on the power data and the dynamic quota. For each phase of each user, a voltage risk sub-score is calculated based on the voltage sensitivity and phase voltage margin; an imbalance risk sub-score is calculated based on the imbalance sensitivity and voltage imbalance margin; and a neutral line risk sub-score is calculated based on the neutral line sensitivity and neutral line current margin. The voltage risk sub-score, imbalance risk sub-score, neutral risk sub-score, and the current remaining usable space of the dynamic quota are weighted and summed to obtain the grid risk score for each user in each phase; wherein, the grid risk score includes the grid risk score in the inlet direction and the grid risk score in the outlet direction.

[0013] This invention quantifies the urgency of increasing power in a phase leading to voltage exceeding limits, worsening imbalance, and neutral overcurrent through three voltage risk sub-scores, and quota occupancy rate quantifies the existing overcrowding in that phase. A weighted sum of these four scores yields a comprehensive score. A higher score indicates greater damage to the grid from continued power consumption or generation in that phase, while a lower score indicates greater safety for that phase. This score compresses the constraints and quota occupancy status of three physical dimensions into a directly comparable value, providing a clear and quantifiable basis for equipment phase selection, eliminating reliance on manual experience and providing directly usable risk quantification input for subsequent comprehensive physical matching evaluation and equipment phase selection.

[0014] In some preferred embodiments of the first aspect, the optimal phase matching result for each user is obtained based on the power grid risk score, specifically as follows: Obtain equipment information for each user; wherein, the equipment information includes phase-switching equipment, candidate phases of the phase-switching equipment, grid risk scores for each candidate phase, dynamic quota occupancy for each candidate phase, action cost of the phase-switching equipment switching to each corresponding candidate phase, penalty value for the number of phase-switching times per unit time, and equipment operation constraint deviation value. For each phase-switching device, the comprehensive physical matching evaluation value of the phase-switching device for each candidate phase is calculated based on the power grid risk score, occupancy level, action cost, penalty value for the number of phase-switching times per unit time, and device operation constraint deviation value. The candidate phase with the smallest comprehensive physical matching evaluation value is selected as the target access phase of the corresponding phase-switching device. The target access phases of all phase-switching devices of each user are summarized to obtain the optimal phase matching result for each user.

[0015] This invention calculates a comprehensive physical matching evaluation value and selects the phase corresponding to the minimum value as the target access phase for the equipment. The grid risk score reflects the relative quality of the access to the grid, while the latter three factors respectively reflect the cost of switching equipment, the impact of frequent switching on equipment lifespan, and whether user electricity demand can be met. The essence of calculating the comprehensive physical matching evaluation value by combining these four factors is to find the optimal balance between grid security requirements and user / equipment-side constraints. This avoids frequent phase switching or forced power curtailment in pursuit of grid balance, thus achieving three-phase imbalance management while also considering the availability and operational economy of user-side equipment.

[0016] In some preferred embodiments of the first aspect, based on the optimal phase matching result, a current three-phase imbalance mitigation scheme for the target distribution network is generated, specifically as follows: Obtain the expected power value of each user's device for the target access phase; wherein, the device includes phase-switching devices and fixed-phase devices; the target access phase of the phase-switching device is determined based on the optimal phase matching result; the target access phase of the fixed-phase device is a preset fixed phase; the expected power value is determined based on the dynamic quota of the corresponding target access phase. By summing the expected power values ​​of each device on the same node and phase according to the node and phase, the expected net exchange power of each phase in each node is obtained. The expected net exchange power is subjected to a safety check. If the safety check passes, a three-phase imbalance management scheme for the target distribution network is generated based on the target access phase and expected power value of each device.

[0017] This invention addresses the unforeseen multi-device superposition effect during phase selection (i.e., a single device may be safe when assigned to a phase, but the total power superposition of multiple devices when assigned to the same phase may lead to exceeding the limit) by aggregating user-level data into node-level data and performing a safety check on the expected net switching power. This improves the reliability of subsequent phase switching.

[0018] In some preferred embodiments of the first aspect, a safety check is performed on the expected net switching power, specifically as follows: Based on the expected net exchange power, the predicted phase voltage, predicted voltage imbalance factor and predicted neutral current of each phase in each node are calculated. If the predicted phase voltage, predicted voltage imbalance factor, and predicted neutral current all meet their respective preset safety thresholds, then the expected net exchange power is determined to have passed the safety check.

[0019] This invention embodiment performs computer numerical simulation on the preliminary matching scheme, compares the simulation results with the safety threshold item by item, and uses objective values ​​to replace human experience judgment, ensuring that only truly safe schemes can enter the execution stage, and ultimately achieving the reliability of the three-phase imbalance control scheme at the execution level.

[0020] Secondly, embodiments of the present invention provide a three-phase imbalance mitigation device based on phase switching, comprising a sensitivity determination module, a dynamic quota determination module, and a mitigation scheme acquisition module, wherein... The sensitivity determination module is used to acquire the current operating status data of the target distribution network and calculate the impact sensitivity of each user on each phase based on the operating status data; wherein, the impact sensitivity characterizes the impact of user power changes on grid status changes; the impact sensitivity includes inlet impact sensitivity and outlet impact sensitivity; The dynamic quota determination module is used to generate a dynamic quota for each user on each phase based on the pre-acquired safety margin and the impact sensitivity; wherein, the dynamic quota includes an import dynamic quota that limits the import power and an export dynamic quota that limits the export power. The governance scheme acquisition module is used to generate a grid risk score for each user on each phase based on the impact sensitivity and the current remaining usable space of the dynamic quota, so as to obtain the optimal phase matching result for each user based on the grid risk score, and generate the current three-phase imbalance governance scheme for the target distribution network based on the optimal phase matching result.

[0021] This invention employs a sensitivity determination module to calculate impact sensitivity, quantifying the direction and extent of the impact on the phase voltage, voltage imbalance factor, and neutral current of a node when the same user increases electricity consumption (inlet) and generation (outlet) in the same phase. Impact sensitivity is key data characterizing the impact of equipment connected to different phases on the power grid. A dynamic quota determination module generates dynamic quotas to bridge the gap between quantified physical impacts and executable boundaries. A power grid risk score is then generated, mapping the sensitivity / margin relationship of the three physical dimensions (voltage, imbalance, and neutral) and quota occupancy to a single numerical value. This score directly answers how dangerous it is for the power grid if the user continues to consume / generate electricity in that phase. A governance scheme acquisition module, based on the power grid risk score, obtains the optimal phase matching result for each user, allocating equipment to the phase with the lowest risk score—the phase with the least physical impact—and ultimately generating a corresponding governance scheme to obtain an executable and practical means.

[0022] Thirdly, embodiments of the present invention provide a terminal device, including: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus; The memory is used to store at least one executable instruction that causes the processor to perform the operation of the three-phase imbalance mitigation method based on phase switching as described in any of the preceding claims.

[0023] Fourthly, embodiments of the present invention provide a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device or apparatus where the computer-readable storage medium is located to perform the three-phase imbalance mitigation method based on phase switching as described in any of the preceding claims.

[0024] The above description is merely an overview of the technical solutions of the embodiments of the present invention. In order to better understand the technical means of the embodiments of the present invention and to implement them in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the embodiments of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0025] Figure 1 A schematic diagram of a three-phase imbalance mitigation method based on phase switching provided in an embodiment of the present invention; Figure 2 This is a structural diagram of a three-phase imbalance control device based on phase switching, provided in an embodiment of the present invention. Detailed Implementation

[0026] 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 embodiments of the present invention, and not all embodiments. 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.

[0027] Example 1: like Figure 1 As shown, an embodiment of the present invention provides a three-phase imbalance mitigation method based on phase switching, comprising: S101, acquire the current operating status data of the target distribution network, and calculate the impact sensitivity of each user on each phase based on the operating status data; wherein, the impact sensitivity characterizes the impact of user power changes on grid status changes; the impact sensitivity includes inlet impact sensitivity and outlet impact sensitivity; In one specific embodiment, obtaining the current operating status data of the target distribution network specifically involves: during the rolling control cycle. Within the distribution network, the main station or edge controller of the distribution network collects real-time operation data and forecast data of the distribution network to form a dataset for the current period: in, For a set of nodes, For branch road collection, For the distinct set; branch road The three-phase impedance matrix; For nodes At parting The measured voltage on; For branch phase current; This refers to the neutral current in a node or transformer substation. , To predict the active and reactive power of the load; , Inject power into distributed resource prediction; This includes information on the user-side equipment set, its access phase, phase switching capability, rated capacity, operating constraints, and user requirements.

[0028] Based on the above data, a three-phase linearized power flow model is established to calculate the phase voltage, branch power flow, and phase current of each phase at each node during the current cycle. For branches... The three-phase power flow relationship can be expressed as: in, and Branch roads The three-phase active and reactive power flow vectors; and They are nodes The three-phase load power vector; and They are nodes The three-phase distributed resource injection power vector; and These are the branch three-phase resistance matrix and the three-phase reactance matrix, respectively; For nodes The vector of squared values ​​of the three-phase voltages.

[0029] Furthermore, the nodes are calculated through symmetric component transformation. Positive sequence voltage and negative sequence voltage And calculate the voltage imbalance factor: Simultaneously, the neutral current is calculated based on the three-phase current: in, , and These are the A-phase current, B-phase current, and C-phase current at node j, respectively.

[0030] This yields the set of network operating states for the current period: The This serves as the input for subsequent risk margin and sensitivity calculations. In other words, the output here is not an isolated imbalance indicator, but rather the foundational network state data for subsequent phase-specific quota generation, phase-specific physical risk scoring, and equipment phase-specific matching.

[0031] In this embodiment, the operating status data includes the phase voltage, voltage imbalance factor, neutral current, and net switching power for each phase. Specifically, based on the operating status data, the impact sensitivity of each user in each phase is calculated as follows: for each user in each phase, the partial derivative of the net switching power with respect to the phase voltage is calculated to obtain the voltage sensitivity; for each user in each phase, the partial derivative of the net switching power with respect to the voltage imbalance factor is calculated to obtain the voltage imbalance sensitivity; for each user in each phase, the partial derivative of the net switching power with respect to the neutral current is calculated to obtain the neutral sensitivity; and the voltage sensitivity, voltage imbalance sensitivity, and neutral sensitivity of each user in each phase are summarized to obtain the impact sensitivity of each user in each phase.

[0032] In one specific embodiment, based on the operating status data, the impact sensitivity of each user in each phase is calculated, specifically as follows: make Indicates user At parting The net exchange power is defined as follows: a positive value represents the power imported from the distribution network, and a negative value represents the power exported to the distribution network. in, This indicates the sensitivity of the user's net phase switching power to the phase voltage. This indicates the sensitivity of the user's net phase switching power to the voltage imbalance factor. This indicates the sensitivity of the effect of the user's net phase switching power on the neutral line current; Map user access nodes. The above sensitivity can be obtained through the three-phase power flow Jacobian matrix, or by applying a small disturbance to the user phase power near the current operating point and recalculating the power flow.

[0033] Furthermore, to distinguish the different impacts of imports and exports on the network state, the sensitivity in the import direction and the sensitivity in the export direction are calculated separately: in, This indicates the impact of increasing the user's imported power on phase voltage, voltage imbalance, and neutral current; This indicates the impact of increasing user output power on phase voltage, voltage imbalance, and neutral line current.

[0034] S102, Based on the pre-acquired safety margin and the impact sensitivity, generate dynamic quotas for each user on each phase; wherein, the dynamic quotas include an import dynamic quota that limits the inlet power and an export dynamic quota that limits the outlet power. In this embodiment, the safety margin includes the phase voltage margin, voltage imbalance margin, and neutral current margin for each user in each phase. The step of generating a dynamic quota for each user in each phase based on the pre-acquired safety margin and the influence sensitivity includes: for each phase of each user, calculating a first candidate quota based on the phase voltage margin and voltage sensitivity; calculating a second candidate quota based on the voltage imbalance margin and imbalance sensitivity; calculating a third candidate quota based on the neutral current margin and neutral sensitivity; and taking the minimum value among the first, second, and third candidate quotas as the dynamic quota for each user in each phase.

[0035] In one specific embodiment, the security margin is obtained by: based on the network operating state set obtained above. For each user node Separation Time period Calculate the phase risk margin. Assume the user... Access node is Then the phase voltage upper margin, phase voltage lower margin, voltage imbalance margin, and neutral current margin are respectively: in, and These are the upper and lower limits of the allowable phase voltage, respectively; The permissible voltage imbalance factor limit; The allowable neutral current limit.

[0036] This yields a user-specific risk dataset: It should be noted that the user-specific risk dataset serves as the direct input for calculating the phase-specific import dynamic quota and export dynamic quota, and also as the risk basis for generating the phase-specific physical risk score (i.e., the power grid risk score).

[0037] In one specific embodiment, based on the pre-acquired security margin and the impact sensitivity, a dynamic quota for each user on each phase is generated, specifically: Let... For users At parting The maximum physical import capacity on the surface For users At parting The maximum physical export capacity is determined by the user access capacity, the rated power of the equipment, the user contract capacity, and the operating status of the equipment.

[0038] For imports, increasing imported power may lead to a decrease in phase voltage, a worsening of voltage imbalance, or an increase in neutral current. Therefore, the dynamic import quota is defined as follows: For the export direction, increasing export power may lead to increased phase voltage, worsened voltage imbalance, or increased neutral current. Therefore, the export dynamic quota is defined as follows: in, To prevent extremely small positive numbers with a denominator of zero.

[0039] This yields the user-specific quota set: The This represents the maximum power limits that a user is allowed to import and export on each phase under the current network conditions.

[0040] It should be noted that this quota set serves two purposes in subsequent steps: first, as the boundary basis for generating phase-specific physical risk scores and quota occupancy penalties; and second, as a hard constraint that must be met for user-side local optimization and device-level phase matching.

[0041] S103, based on the impact sensitivity and the current remaining usable space of the dynamic quota, generate a grid risk score for each user on each phase, so as to obtain the optimal phase matching result for each user based on the grid risk score, and generate the current three-phase imbalance management scheme for the target distribution network based on the optimal phase matching result.

[0042] In this embodiment, a grid risk score for each user on each phase is generated based on the impact sensitivity and the current remaining usable space of the dynamic quota. This includes: acquiring the current power data of each user, and calculating the current remaining usable space of the dynamic quota for each user based on the power data and the dynamic quota; for each phase of each user, calculating a voltage risk sub-score based on the voltage sensitivity and phase voltage margin; calculating an imbalance risk sub-score based on the imbalance sensitivity and voltage imbalance margin; calculating a neutral line risk sub-score based on the neutral line sensitivity and neutral line current margin; and weighted summing the voltage risk sub-score, imbalance risk sub-score, neutral line risk sub-score, and the current remaining usable space of the dynamic quota to obtain the grid risk score for each user on each phase. The grid risk score includes an inlet-direction grid risk score and an outlet-direction grid risk score.

[0043] In one specific embodiment, based on the impact sensitivity and the current remaining usable space of the dynamic quota, a grid risk score for each user on each phase is generated, including: firstly defining the physical risk score (i.e., grid risk score) for the phase in the inlet direction: in, ; Indicates that the user is in the same category. Sensitivity to the effect of increased imported power on phase voltage; This indicates the sensitivity of the effect of increasing the imported power on the voltage imbalance factor; This indicates the sensitivity of the effect on the neutral line current when the imported power is increased; , , These represent the margin under phase voltage, the margin under voltage imbalance, and the margin under neutral current, respectively. This indicates the dynamic import quota; To prevent extremely small positive numbers with a denominator of zero; to These are the weighting coefficients.

[0044] As can be seen from the above formula, when the low voltage margin of a certain phase is small, and the user continues to increase the inlet power of that phase, it will further reduce the phase voltage, increase the voltage imbalance factor, or increase the neutral line current, the physical risk score of the inlet direction of that phase will increase; when the inlet dynamic quota of that phase is sufficient, the physical risk score will decrease.

[0045] Further define the physical risk score for export direction: in, Indicates that the user is in the same category. Sensitivity to the effect of increasing output power on phase voltage; This indicates the sensitivity of the effect of increasing output power on the voltage imbalance factor; This indicates the sensitivity of the effect of increasing the output power on the neutral line current; Indicates the phase voltage margin; Indicates dynamic export quotas; to These are the weighting coefficients.

[0046] As can be seen from the above formula, when the overvoltage margin of a certain phase is small, and the user continues to increase the output power of that phase, it will further increase the phase voltage, increase the voltage imbalance factor, or increase the neutral line current, the physical risk score of the output direction of that phase will increase; when the output dynamic quota of that phase is sufficient, the physical risk score will decrease.

[0047] Preferably, to avoid drastic changes in phase-specific physical risk scores and phase-specific dynamic quotas between adjacent rolling periods, a smoothing constraint is set: in, , This represents the maximum permissible variation in the physical risk score. This refers to the maximum permissible change in the dynamic quota for each phase.

[0048] This yields a set of phase-specific physical risk scores: The phase-specific physical risk score set and the phase-specific quota set are input together into the user-side energy manager as the basis for device-level phase matching and power regulation.

[0049] In this embodiment, the optimal phase matching result for each user is obtained based on the power grid risk score. Specifically, the following steps are taken: Equipment information for each user is acquired; the equipment information includes the phase-switching device, the candidate phases of the phase-switching device, the power grid risk score for each candidate phase, the occupancy level of the dynamic quota for each candidate phase, the action cost of switching the phase-switching device to each corresponding candidate phase, the penalty value for the number of phase-switching cycles per unit time, and the equipment operation constraint deviation value. For each phase-switching device, a comprehensive physical matching evaluation value for accessing each candidate phase is calculated based on the power grid risk score, occupancy level, action cost, penalty value for the number of phase-switching cycles per unit time, and equipment operation constraint deviation value. The candidate phase with the smallest comprehensive physical matching evaluation value is selected as the target access phase for the corresponding phase-switching device. The target access phases for all phase-switching devices of each user are summarized to obtain the optimal phase matching result for each user.

[0050] In one specific embodiment, the optimal phase matching result for each user is obtained based on the power grid risk score, specifically as follows: Let the user... The device set is The phase-cutting equipment is composed of Fixed phase separation equipment is For equipment Define phase matching variables: For phase-cutting devices, the following should be met: in, For equipment The set of phases that are allowed to access.

[0051] For fixed-phase equipment, its access phase is not selected; power is only adjusted based on quota and price for its fixed access phase. For phase-switching devices, the user-side energy manager computes the comprehensive physical matching evaluation value for each candidate phase: in, When the equipment is an electric vehicle, heat pump, or other load-type equipment, When the equipment is a photovoltaic, energy storage discharge, or other injection-type device, . Assess the phase-specific physical risk score for the corresponding direction; The planned power of the equipment in the corresponding direction; For users in different Allocated power on; For the corresponding direction, the phase-specific dynamic quota; Switch the device to a different phase The cost of the action; Penalty for the number of phase cuts per unit time; For equipment operation constraint deviations; to These are the weighting coefficients.

[0052] The first item is used to characterize the combined risks of voltage, voltage imbalance and neutral current caused by the connection of the equipment to the candidate phase; the second item is used to characterize the phase quota occupancy degree, and the closer the quota is to the upper limit, the larger this item is; the third and fourth items are used to avoid frequent phase switching of the equipment; the fifth item is used to characterize the deviation of the equipment's operating requirements, such as the degree of deviation of charging completion, heat pump comfort or energy storage state of charge.

[0053] equipment The target access phases are respectively: That is, devices are given priority access to phases with lower physical risk scores, lower quota usage, and that meet device operation constraints.

[0054] The user-side local optimization goal can be expressed as: in, The network physical risk item is composed of phase-specific physical risk scores. Penalties for approaching quota boundaries Penalties for equipment start-up, shutdown, or phase-switching operations. This is the deviation item for equipment operation requirements. For user response deviation penalty items, to These are the weighting coefficients.

[0055] This leads to users Preliminary equipment-level phase matching results: in, This refers to the active power command of the equipment. For reactive power commands of the equipment, These are equipment action commands, including start, stop, delayed start, power limit, phase cut, reduction of photovoltaic output, energy storage charging, energy storage discharging, or reactive power support.

[0056] In this embodiment, based on the optimal phase matching result, a current three-phase imbalance mitigation scheme for the target distribution network is generated. Specifically, the expected power value of each device for each user corresponding to the target access phase is obtained; wherein, the device includes phase-switching devices and fixed-phase devices; the target access phase of the phase-switching devices is determined based on the optimal phase matching result; the target access phase of the fixed-phase devices is a preset fixed phase; the expected power value is determined based on the dynamic quota of the corresponding target access phase; the expected power values ​​of each device on the same phase at the same node are summarized by node and phase to obtain the expected net exchange power of each phase in each node; the expected net exchange power is subjected to a safety check, and if the safety check passes, the current three-phase imbalance mitigation scheme for the target distribution network is generated based on the target access phase and expected power value of each device.

[0057] In one specific embodiment, the user data is aggregated. The expected net exchange power in each phase is as follows: In this embodiment, the expected net exchange power is subject to safety verification, specifically by: calculating the predicted phase voltage, predicted voltage imbalance factor, and predicted neutral current for each phase in each node based on the expected net exchange power; if the predicted phase voltage, predicted voltage imbalance factor, and predicted neutral current all meet their respective preset safety thresholds, then the expected net exchange power is determined to have passed the safety verification.

[0058] In one specific embodiment, a safety check is performed on the expected net switching power, specifically as follows: The distribution network master station or transformer edge controller receives the preliminary device-level phase matching results sent by the energy managers on each user side: Based on the device access phase and power commands, the expected net switching power of each phase at each node is reconstructed: Will Substituting back into the aforementioned three-phase power flow model, we obtain the predicted network state after performing the matching: The system performs a pre-execution check on the predicted network state. If both of the following conditions are met: If the preliminary device-level phase matching result is determined to meet network security constraints, the final execution step can proceed. In the above formula... These are the allowable limits for branch circuits.

[0059] It should be noted that if any of the above constraints are not met, the system will perform corrections based on the type of over-limit. If a phase has a voltage over-limit or voltage imbalance over-limit, the inlet dynamic quota or outlet dynamic quota for that phase will be tightened according to the direction of the over-limit, and the physical risk weight of the corresponding direction of that phase will be increased; if a node has a neutral current over-limit, the phase-switching equipment will be preferentially adjusted from the phase with a larger contribution to the neutral current to the candidate phase with a lower comprehensive physical risk score. In a preferred embodiment, if exceeding the limit cannot be eliminated by tightening quotas, adjusting physical risk weights, and re-matching equipment phases, a safe mode is entered. The safe mode is triggered by the following conditions: or: in, This is the emergency voltage imbalance threshold. This is the emergency neutral line current threshold.

[0060] In safety mode, the system no longer uses flexible phase matching; instead, it generates rigid safety constraints to limit the incoming or outgoing power on high-risk phases. For photovoltaic outgoing power, the following applies: For charging input power, execute: in, For usable photovoltaic power output, To request charging power; and These are the export hard quota and import hard quota under the security mode, respectively.

[0061] For equipment with phase-cutting capability, in safety mode, low-risk candidate phases that meet voltage constraints, voltage imbalance constraints, and neutral line current constraints are prioritized: in, , and These represent the different phases of the device connection. The risk indicators for voltage imbalance, neutral current and phase voltage constraints are then assessed.

[0062] After correction, the system re-executes device-level phase matching and network verification in this step until a phase matching result that meets network security constraints is obtained; if the constraints still cannot be met within the preset number of iterations, the high-risk device remains in a restricted shutdown state and is submitted for manual review or a preset conservative strategy is implemented.

[0063] In one specific embodiment, the current three-phase imbalance mitigation scheme for the target distribution network is generated as follows: After the security check is passed, the system generates the final phase matching decision result: in, For equipment During the period The final access phase; For the final phase matching variables; and These are the final active and reactive power commands, respectively. This refers to the final device action command.

[0064] The final phase matching result is further converted into a set of executable control instructions: in, This is a target phase switching command for a phase-switching device. This is an active power regulation command; This is a reactive power adjustment command; For start / stop commands; This is a delayed startup instruction; The reduction order is for photovoltaic or other export-oriented equipment.

[0065] The distribution network master station or transformer edge controller sends the set of device operation constraints to the user-side energy manager. The user-side energy manager determines the execution plan for the local devices based on the set of device operation constraints. If a critical device reports a change in its availability or execution capability within a preset confirmation time, the system updates the adjustable capability of the device based on the feedback result and re-executes phase matching to generate a corrected phase matching result. After execution, the system collects actual response data: And calculate the phase-level response deviation: in, For users At parting The measured net switching power on the device, This refers to the expected net exchange power generated and verified for safety as described above.

[0066] The aforementioned response deviation, measured phase voltage, measured voltage imbalance factor, and measured neutral current will serve as data inputs for the next rolling control cycle, used to correct the three-phase power flow state, risk margin, directional sensitivity, phase dynamic quota, and phase physical risk score for the next cycle. Thus, this invention ultimately achieves a complete closed loop from network imbalance indicators to user-side equipment phase matching decision results, and then to operational status feedback and correction for the next cycle.

[0067] This invention quantifies the impact of a user's increased electricity consumption (input) and increased power generation (output) on the same phase by calculating impact sensitivity. This impact affects the phase voltage, voltage imbalance factor, and neutral current of that node. Impact sensitivity is key data characterizing the impact of equipment connected to different phases on the power grid. Dynamic quotas are generated to bridge the gap between quantified physical impacts and actionable boundaries. A grid risk score is then generated to map the sensitivity / margin relationship of the three physical dimensions (voltage, imbalance, and neutral) and quota occupancy into a single value. This score directly addresses the danger to the grid if the user continues to consume / generate electricity in that phase. Based on the grid risk score, the optimal phase matching for each user is determined, allocating equipment to the phase with the lowest risk score—the phase with the least physical impact. Finally, a corresponding mitigation plan is generated to obtain an actionable and practical solution.

[0068] Compared with existing technologies, the embodiments of the present invention first introduce impact sensitivity, quantifying the direction and degree of the impact of the same user increasing electricity consumption and generation on phase voltage, voltage imbalance factor and neutral current in the same phase into calculable values, so that subsequent decisions have a physical basis; then, based on the safety margin of each dimension and the corresponding impact sensitivity, the dynamic quota of how much power the user can safely enter or exit in that phase is obtained, transforming the physical impact quantification result into an executable safety boundary; finally, based on the impact sensitivity and the remaining space of the dynamic quota, a grid risk score is generated, and the equipment is allocated to the phase with the lowest risk according to the score. The combination of the above features transforms the phase allocation of equipment from relying on indirect indicators such as the load size or voltage deviation of each phase to making decisions directly based on the actual physical impact on the power grid after the equipment is connected to that phase. This achieves a precise match between the phase selection result and the physical safety status of the power grid, enabling equipment to be allocated to the phase with the least impact on it. Three-phase imbalance is effectively suppressed and no new over-limit risks are introduced. This solves the technical problem that existing technologies cannot distinguish the different physical impacts of the same equipment connected to different phases on the power grid, leading to a disconnect between the phase selection result and the actual safety status of the power grid.

[0069] Example 2: like Figure 2 As shown, this embodiment provides a three-phase imbalance mitigation device based on phase switching, including a sensitivity determination module 201, a dynamic quota determination module 202, and a mitigation scheme acquisition module 203, wherein... The sensitivity determination module 201 is used to acquire the current operating status data of the target distribution network and calculate the impact sensitivity of each user on each phase based on the operating status data; wherein, the impact sensitivity characterizes the impact of user power changes on grid status changes; the impact sensitivity includes inlet impact sensitivity and outlet impact sensitivity; In this embodiment, the operating status data includes the phase voltage, voltage imbalance factor, neutral current, and net exchange power for each phase. The sensitivity determination module 201 calculates the impact sensitivity of each user on each phase based on the operating status data. Specifically, for each user and each phase, the partial derivative of the net exchange power with respect to the phase voltage is calculated to obtain the voltage sensitivity; for each user and each phase, the partial derivative of the net exchange power with respect to the voltage imbalance factor is calculated to obtain the voltage imbalance sensitivity; for each user and each phase, the partial derivative of the net exchange power with respect to the neutral current is calculated to obtain the neutral sensitivity; and the voltage sensitivity, voltage imbalance sensitivity, and neutral sensitivity for each user on each phase are summarized to obtain the impact sensitivity of each user on each phase.

[0070] The dynamic quota determination module 202 is used to generate a dynamic quota for each user on each phase based on the pre-acquired safety margin and the influence sensitivity; wherein, the dynamic quota includes an import dynamic quota that limits the import power and an export dynamic quota that limits the export power. In this embodiment, the safety margin includes the phase voltage margin, voltage imbalance margin, and neutral current margin for each user in each phase. The dynamic quota determination module 202 generates a dynamic quota for each user in each phase based on the pre-acquired safety margin and the influence sensitivity. This includes: for each user in each phase, calculating a first candidate quota based on the phase voltage margin and voltage sensitivity; calculating a second candidate quota based on the voltage imbalance margin and imbalance sensitivity; calculating a third candidate quota based on the neutral current margin and neutral sensitivity; and taking the minimum value among the first, second, and third candidate quotas as the dynamic quota for each user in each phase.

[0071] The governance scheme acquisition module 203 is used to generate a grid risk score for each user on each phase based on the impact sensitivity and the current remaining usable space of the dynamic quota, so as to obtain the optimal phase matching result for each user based on the grid risk score, and generate the current three-phase imbalance governance scheme of the target distribution network based on the optimal phase matching result.

[0072] In this embodiment, the governance scheme acquisition module 203 generates a grid risk score for each user on each phase based on the impact sensitivity and the current remaining usable space of the dynamic quota. This includes: the governance scheme acquisition module 203 acquiring the current power data of each user and calculating the current remaining usable space of the dynamic quota for each user based on the power data and the dynamic quota; for each phase of each user, calculating a voltage risk sub-score based on the voltage sensitivity and phase voltage margin; calculating an imbalance risk sub-score based on the imbalance sensitivity and voltage imbalance margin; calculating a neutral line risk sub-score based on the neutral line sensitivity and neutral line current margin; and weighted summing the voltage risk sub-score, imbalance risk sub-score, neutral line risk sub-score, and the current remaining usable space of the dynamic quota to obtain the grid risk score for each user on each phase. The grid risk score includes an inlet-direction grid risk score and an outlet-direction grid risk score.

[0073] In this embodiment, the governance scheme acquisition module 203 obtains the optimal phase matching result for each user based on the power grid risk score. Specifically, the governance scheme acquisition module 203 acquires the equipment information of each user. The equipment information includes the phase-switching equipment, the candidate phases of the phase-switching equipment, the power grid risk score for each candidate phase, the occupancy level of the dynamic quota for each candidate phase, the action cost of switching the phase-switching equipment to each corresponding candidate phase, the penalty value for the number of phase-switching times per unit time, and the equipment operation constraint deviation value. For each phase-switching equipment, the comprehensive physical matching evaluation value for accessing each candidate phase is calculated based on the power grid risk score, occupancy level, action cost, penalty value for the number of phase-switching times per unit time, and equipment operation constraint deviation value. The candidate phase with the smallest comprehensive physical matching evaluation value is selected as the target access phase for the corresponding phase-switching equipment. The target access phases of all phase-switching equipment of each user are summarized to obtain the optimal phase matching result for each user.

[0074] In this embodiment, the governance scheme acquisition module 203 generates a current three-phase imbalance governance scheme for the target distribution network based on the optimal phase matching result. Specifically, the governance scheme acquisition module 203 acquires the expected power value of each device corresponding to the target access phase for each user; wherein, the device includes phase-switching devices and fixed phase devices; the target access phase of the phase-switching devices is determined based on the optimal phase matching result; the target access phase of the fixed phase devices is a preset fixed phase; the expected power value is determined based on the dynamic quota of the corresponding target access phase; the expected power values ​​of each device on the same phase at the same node are summarized by node and phase to obtain the expected net exchange power of each phase in each node; the expected net exchange power is subjected to a safety check, and if the safety check passes, the current three-phase imbalance governance scheme for the target distribution network is generated based on the target access phase and expected power value of each device.

[0075] For a more detailed explanation of the working principle and procedures of this embodiment, please refer to the relevant description in Embodiment 1.

[0076] In this embodiment of the invention, the sensitivity determination module 201 calculates the impact sensitivity to quantify the direction and degree of influence of the same user on the phase voltage, voltage imbalance factor, and neutral current of the same node when the user increases electricity consumption (inlet) and power generation (outlet) in the same phase. In other words, the impact sensitivity is a key data point characterizing the extent of the impact of equipment connected to different phases on the power grid. The dynamic quota determination module 202 generates dynamic quotas to build a bridge that transforms the quantified results of physical impacts into executable boundaries. Then, a power grid risk score is generated to comprehensively map the sensitivity / margin relationship of the three physical dimensions (voltage, imbalance, and neutral) and the degree of quota occupancy into a single value. This score directly answers how dangerous it is for the power grid if the user continues to consume / generate electricity in that phase. The governance scheme acquisition module 203 obtains the optimal phase matching result for each user based on the power grid risk score, thereby allocating the equipment to the phase with the lowest risk score, i.e., the phase with the least physical impact. Finally, the corresponding governance scheme is generated to obtain an executable and practical means.

[0077] Example 3: This embodiment provides a terminal device, including: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus; The memory is used to store at least one executable instruction that causes the processor to perform the operation of the three-phase imbalance mitigation method based on phase switching as described in any of the preceding claims.

[0078] Example 4: This invention provides a computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device or apparatus containing the computer-readable storage medium to perform the three-phase imbalance mitigation method based on phase switching as described above.

[0079] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0080] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A three-phase imbalance mitigation method based on phase switching, characterized in that, include: Acquire the current operating status data of the target distribution network, and calculate the impact sensitivity of each user on each phase based on the operating status data; wherein, the impact sensitivity characterizes the impact of user power changes on grid status changes; the impact sensitivity includes inlet impact sensitivity and outlet impact sensitivity; Based on the pre-acquired safety margin and the impact sensitivity, a dynamic quota for each user on each phase is generated; wherein, the dynamic quota includes an import dynamic quota that limits the inlet power and an export dynamic quota that limits the outlet power. Based on the impact sensitivity and the current remaining usable space of the dynamic quota, a grid risk score is generated for each user on each phase. Based on the grid risk score, the optimal phase matching result for each user is obtained. Based on the optimal phase matching result, the current three-phase imbalance management scheme for the target distribution network is generated.

2. The three-phase imbalance control method based on phase switching as described in claim 1, characterized in that, The operating status data includes the phase voltage, voltage imbalance factor, neutral current, and net switching power for each phase. Specifically, based on the aforementioned operational status data, the impact sensitivity of each user in each phase is calculated as follows: For each phase of each user, the partial derivative of the net switching power with respect to the phase voltage is calculated to obtain the voltage sensitivity; For each phase of each user, the partial derivative of the net switching power with respect to the voltage imbalance factor is calculated to obtain the voltage imbalance sensitivity. For each phase of each user, the partial derivative of the net exchange power with respect to the neutral line current is calculated to obtain the neutral line sensitivity; By summarizing the voltage sensitivity, voltage imbalance sensitivity, and neutral line sensitivity of each user in each phase, the influence sensitivity of each user in each phase can be obtained.

3. The three-phase imbalance mitigation method based on phase switching as described in claim 2, characterized in that, The safety margin includes the phase voltage margin, voltage imbalance margin, and neutral current margin for each user in each phase. The step of generating a dynamic quota for each user in each phase based on the pre-acquired security margin and the impact sensitivity includes: For each phase of each user, a first candidate quota is calculated based on the phase voltage margin and voltage sensitivity; a second candidate quota is calculated based on the voltage imbalance margin and imbalance sensitivity; and a third candidate quota is calculated based on the neutral line current margin and neutral line sensitivity. The minimum value among the first candidate quota, the second candidate quota, and the third candidate quota is taken as the dynamic quota for each user in each phase.

4. The three-phase imbalance control method based on phase switching as described in claim 3, characterized in that, Based on the impact sensitivity and the current remaining usable space of the dynamic quota, a grid risk score is generated for each user on each phase, including: Obtain the current power data of each user, and calculate the current remaining usable space of the dynamic quota for each user based on the power data and the dynamic quota. For each phase of each user, a voltage risk sub-score is calculated based on the voltage sensitivity and phase voltage margin; an imbalance risk sub-score is calculated based on the imbalance sensitivity and voltage imbalance margin; and a neutral line risk sub-score is calculated based on the neutral line sensitivity and neutral line current margin. The voltage risk sub-score, imbalance risk sub-score, neutral risk sub-score, and the current remaining usable space of the dynamic quota are weighted and summed to obtain the grid risk score for each user in each phase; wherein, the grid risk score includes the grid risk score in the inlet direction and the grid risk score in the outlet direction.

5. A three-phase imbalance mitigation method based on phase switching as described in claim 4, characterized in that, Based on the power grid risk score, the optimal phase matching result for each user is obtained, specifically as follows: Obtain equipment information for each user; wherein, the equipment information includes phase-switching equipment, candidate phases of the phase-switching equipment, grid risk scores for each candidate phase, dynamic quota occupancy for each candidate phase, action cost of the phase-switching equipment switching to each corresponding candidate phase, penalty value for the number of phase-switching times per unit time, and equipment operation constraint deviation value. For each phase-switching device, the comprehensive physical matching evaluation value of the phase-switching device for each candidate phase is calculated based on the power grid risk score, occupancy level, action cost, penalty value for the number of phase-switching times per unit time, and device operation constraint deviation value. The candidate phase with the smallest comprehensive physical matching evaluation value is selected as the target access phase of the corresponding phase-switching device. The target access phases of all phase-switching devices of each user are summarized to obtain the optimal phase matching result for each user.

6. The three-phase imbalance control method based on phase switching as described in claim 5, characterized in that, Based on the optimal phase matching result, a three-phase imbalance mitigation scheme for the target distribution network is generated, specifically as follows: Obtain the expected power value of each user's device for the target access phase; wherein, the device includes phase-switching devices and fixed-phase devices; the target access phase of the phase-switching device is determined based on the optimal phase matching result; the target access phase of the fixed-phase device is a preset fixed phase; the expected power value is determined based on the dynamic quota of the corresponding target access phase. By summing the expected power values ​​of each device on the same node and phase according to the node and phase, the expected net exchange power of each phase in each node is obtained. The expected net exchange power is subjected to a safety check. If the safety check passes, a three-phase imbalance management scheme for the target distribution network is generated based on the target access phase and expected power value of each device.

7. A three-phase imbalance mitigation method based on phase switching as described in claim 6, characterized in that, The desired net switching power is subjected to a safety check, specifically as follows: Based on the expected net exchange power, the predicted phase voltage, predicted voltage imbalance factor and predicted neutral current of each phase in each node are calculated. If the predicted phase voltage, predicted voltage imbalance factor, and predicted neutral current all meet their respective preset safety thresholds, then the expected net exchange power is determined to have passed the safety check.

8. A three-phase imbalance control device based on phase switching, characterized in that, It includes a sensitivity determination module, a dynamic quota determination module, and a governance scheme acquisition module, among which, The sensitivity determination module is used to acquire the current operating status data of the target distribution network and calculate the impact sensitivity of each user on each phase based on the operating status data; wherein, the impact sensitivity characterizes the impact of user power changes on grid status changes; the impact sensitivity includes inlet impact sensitivity and outlet impact sensitivity; The dynamic quota determination module is used to generate a dynamic quota for each user on each phase based on the pre-acquired safety margin and the impact sensitivity; wherein, the dynamic quota includes an import dynamic quota that limits the import power and an export dynamic quota that limits the export power. The governance scheme acquisition module is used to generate a grid risk score for each user on each phase based on the impact sensitivity and the current remaining usable space of the dynamic quota, so as to obtain the optimal phase matching result for each user based on the grid risk score, and generate the current three-phase imbalance governance scheme for the target distribution network based on the optimal phase matching result.

9. A terminal device, characterized in that, include: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction that causes the processor to perform the operation of the three-phase imbalance mitigation method based on phase switching as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device or apparatus containing the computer-readable storage medium to perform the three-phase imbalance mitigation method based on phase switching as described in any one of claims 1 to 7.

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