Power distribution area voltage regulation method and device, computer device, and medium

Abstract

The application relates to a power distribution area voltage regulation method and device, computer equipment and a medium. The method comprises the following steps: dividing a target power distribution area into multiple voltage regulation sub-areas based on the current directions of branches in the target power distribution area; constructing a voltage regulation target function of a corresponding voltage regulation sub-area according to the charge-discharge power regulation amount of an elastic charging pile matched with each area node at a current time, the charge-discharge power regulation amount of an energy storage system in a regulation mode at the current time, and the charge-discharge power regulation amount of a photovoltaic inverter; solving the voltage regulation target function of each voltage regulation sub-area with the minimum voltage deviation of all area nodes in each voltage regulation sub-area as the target to obtain the voltage regulation amount of all controllable resources in the corresponding voltage regulation sub-area at the current time; and regulating the voltage of the controllable resources in the corresponding voltage regulation sub-area based on the voltage regulation amount. The method can improve the utilization rate of resources.

Description

Technical Field

[0001] This application relates to the field of power distribution network resource regulation technology, and in particular to a method, device, computer equipment and medium for regulating voltage in power distribution substations. Background Technology

[0002] With the development of new energy technologies, distributed photovoltaic (PV) power and electric vehicle (EV) charging stations are widely integrated into power distribution networks to provide electricity. However, the intermittent and random nature of PV power generation and EV charging leads to a continuous decline in the power quality of the distribution network. For example, during a sunny midday, a surge in PV power generation in a distribution area can cause the voltage at mid-section nodes along the feeder to exceed the upper limit due to the large amount of active power generated by PV power being fed into the grid; conversely, in the evening, concentrated EV charging can cause the voltage at the end nodes of the feeder to drop below the lower limit due to excessive charging load. Therefore, reasonable regulation of the distribution network voltage can effectively improve the utilization rate of distributed resources.

[0003] Currently, the main way to regulate voltage in distribution substations is to suppress undervoltage by uniformly reducing the power of charging piles or delaying the charging period. This does not make full use of the time elasticity differences between different users, resulting in low resource utilization of the distribution network.

[0004] Therefore, how to regulate the voltage of the distribution substation to improve resource utilization is a problem that needs to be solved. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for voltage regulation of distribution substations, in order to improve resource utilization during the voltage regulation of distribution substations.

[0006] Firstly, this application provides a method for voltage regulation in a distribution substation, including:

[0007] Based on the urgency of user departure at each charging pile in the target distribution area at the current moment, determine the flexible charging piles in the target distribution area at the current moment.

[0008] Based on the predicted charge state of the energy storage system of the target distribution area at the current moment and the adjustable range of the charge state at the current moment, the adjustment mode of the energy storage system at the current moment is determined.

[0009] Based on the current direction of each branch in the target distribution area, the target distribution area is divided into multiple voltage regulation sub-areas;

[0010] Based on the charging and discharging power adjustment amount of the flexible charging pile matched with each transformer node in each voltage regulation sub-region at the current time, the charging and discharging power adjustment amount of the energy storage system in the regulation mode at the current time, and the charging and discharging power adjustment amount of the photovoltaic inverter, the voltage regulation objective function of the corresponding voltage regulation sub-region is constructed.

[0011] With the goal of minimizing the voltage deviation of all the transformer nodes in each voltage regulation sub-region, the voltage regulation objective function of each voltage regulation sub-region is solved to obtain the voltage regulation amount of all controllable resources in the corresponding voltage regulation sub-region at the current time;

[0012] Based on the voltage regulation amount, the voltage of the controllable resources in the corresponding voltage regulation sub-region is adjusted; the controllable resources include the flexible charging pile, the energy storage system, and the photovoltaic inverter.

[0013] In one embodiment, the construction of a voltage regulation objective function for each voltage regulation sub-region, based on the charging and discharging power regulation of the flexible charging piles matched with each transformer node at the current time, the charging and discharging power regulation of the energy storage system in the current time's regulation mode, and the charging and discharging power regulation of the photovoltaic inverter, includes:

[0014] Based on the charging and discharging power adjustment of the flexible charging pile matched with each transformer sub-node in each voltage regulation sub-region at the current time, the charging and discharging power adjustment of the energy storage system in the regulation mode at the current time, and the charging and discharging power adjustment of the photovoltaic inverter, a voltage sensitivity matrix of the corresponding transformer sub-node is constructed.

[0015] Based on the voltage sensitivity matrix of each of the transformer substations, the voltage of all transformer substations in each of the voltage regulation sub-regions is determined;

[0016] Based on the voltage of all the substation nodes in each of the voltage regulation sub-regions, a voltage regulation objective function for the corresponding voltage regulation sub-region is constructed.

[0017] In one embodiment, the objective function for voltage regulation of each voltage regulation sub-region is solved with the goal of minimizing the voltage deviation of all the transformer nodes in each voltage regulation sub-region. This yields the voltage regulation amount of the flexible charging pile, the energy storage system, and the photovoltaic inverter in the corresponding voltage regulation sub-region at the current moment, including:

[0018] Voltage constraints are determined based on the voltage range of each of the aforementioned transformer area nodes;

[0019] Based on the rated power of each photovoltaic inverter and the active power output of the corresponding photovoltaic inverter at the current moment, it is determined that the photovoltaic inverter has no active power constraint.

[0020] Based on the adjustable range of the charge state at the current moment, the voltage regulation bandwidth constraint is determined;

[0021] Based on the voltage constraint, the photovoltaic inverter's no-function capability constraint, the voltage regulation bandwidth constraint, and the power constraint of the flexible charging pile, the target constraint is determined.

[0022] Based on the target constraint, with the goal of minimizing the voltage deviation of all the transformer nodes in each voltage regulation sub-region, the voltage regulation objective function of each voltage regulation sub-region is solved to obtain the voltage regulation amount of the flexible charging pile, the energy storage system and the photovoltaic inverter in the corresponding voltage regulation sub-region at the current time.

[0023] In one embodiment, after adjusting the voltage of the controllable resource in the corresponding voltage regulation sub-region based on the voltage regulation amount, the method further includes:

[0024] In the target voltage regulation sub-region, if the voltage regulation of all controllable resources matched with all the transformer sub-nodes reaches the corresponding regulation limit, and there is a transformer sub-node whose voltage exceeds the voltage constraint, the transformer sub-node whose voltage exceeds the voltage constraint is identified as an over-limit transformer sub-node; the target voltage regulation sub-region is any voltage regulation sub-region among all voltage regulation sub-regions.

[0025] In the multiple voltage regulation sub-regions, the controllable resources in adjacent voltage regulation sub-regions are merged into the over-limit grid node to obtain controllable resources that match the over-limit grid node; the adjacent voltage regulation sub-region is the voltage regulation sub-region that is closest to the target voltage regulation sub-region and has a different region type from the target voltage regulation sub-region.

[0026] Adjust the voltage of controllable resources that match the over-limit transformer node until the voltage of all transformer nodes in the target voltage regulation sub-region does not exceed the voltage constraint.

[0027] In one embodiment, determining the flexible charging piles in the target distribution area at the current time based on the urgency of user departure at each charging pile in the target distribution area includes:

[0028] Based on the remaining charging capacity of each charging pile in the target distribution area at the current moment, the user's expected departure time, and the rated power, the urgency of the user's departure at each charging pile at the current moment is determined.

[0029] Among the charging piles in the target distribution area, the charging piles whose user departure urgency is less than the urgency threshold are identified as the flexible charging piles in the target distribution area at the current time.

[0030] In one embodiment, the charging piles in the target distribution area whose user departure urgency is greater than or equal to a urgency threshold are identified as rigid charging piles in the target distribution area at the current moment; the method further includes:

[0031] Based on the predicted photovoltaic output, predicted base load, and predicted charging power of the rigid charging pile of the target distribution area, the predicted remaining power of the target distribution area at each moment within a preset time period is determined.

[0032] Based on the initial charge state of the energy storage system and the integral results of the predicted remaining power at each moment within the preset time period, the predicted charge state of the energy storage system at the current moment is determined.

[0033] In one embodiment, dividing the target distribution sub-region into multiple voltage regulation sub-regions based on the current direction of each branch in the target distribution sub-region includes:

[0034] Based on the current direction of adjacent branches of the same distribution substation in the target distribution substation, the type of the same distribution substation node is determined; the type of distribution substation node includes boundary distribution substation node or non-boundary distribution substation node.

[0035] When the same transformer substation node is the boundary transformer substation node, the upstream side of the same transformer substation node is determined as the overvoltage regulation sub-region, and the downstream side of the same transformer substation node is determined as the undervoltage regulation sub-region, until all transformer substation nodes in the target distribution transformer substation are traversed, resulting in multiple voltage regulation sub-regions.

[0036] Secondly, this application also provides a distribution area voltage regulation device, comprising:

[0037] The flexible charging pile determination module is used to determine the flexible charging piles in the target distribution area at the current time based on the urgency of user departure at each charging pile in the target distribution area at the current time.

[0038] The adjustment mode determination module is used to determine the adjustment mode of the energy storage system at the current moment based on the predicted charge state of the energy storage system of the target distribution area at the current moment and the adjustable range of the charge state at the current moment.

[0039] The sub-region division module is used to divide the target distribution sub-region into multiple voltage regulation sub-regions based on the current direction of each branch in the target distribution sub-region;

[0040] The objective function construction module is used to construct the voltage regulation objective function of the corresponding voltage regulation sub-region based on the charging and discharging power regulation amount of the flexible charging pile matched with each transformer node in each voltage regulation sub-region at the current time, the charging and discharging power regulation amount of the energy storage system in the regulation mode at the current time, and the charging and discharging power regulation amount of the photovoltaic inverter.

[0041] The solution module is used to solve the voltage regulation objective function of each voltage regulation sub-region with the goal of minimizing the voltage deviation of all the substation nodes in each voltage regulation sub-region, so as to obtain the voltage regulation amount of all controllable resources in the corresponding voltage regulation sub-region at the current time.

[0042] The control module is used to control the voltage of the controllable resources in the corresponding voltage regulation sub-region based on the voltage regulation amount; the controllable resources include the flexible charging pile, the energy storage system, and the photovoltaic inverter.

[0043] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method in any of the embodiments of the first aspect described above.

[0044] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method in any of the embodiments of the first aspect described above.

[0045] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the method in any of the embodiments of the first aspect described above.

[0046] In the above implementation process, the flexible charging piles in the target distribution substation are determined based on the urgency of user departure at each charging pile in the current moment. This fully leverages the charging time flexibility of non-urgent users while ensuring the charging experience for users with urgent needs, transforming it into a high-quality resource that the grid can adjust. Furthermore, based on the predicted charge state of the energy storage system in the target distribution substation at the current moment, and its adjustable range, the adjustment mode of the energy storage system is determined. This prevents the energy storage system from running out of power during off-peak hours in the daytime due to frequent real-time voltage regulation, ensuring that the energy storage system still has sufficient power to support critical moments such as the evening when photovoltaic power fails or peak loads (e.g., concentrated charging of electric vehicles). This significantly improves the continuous adjustment capability and operational resilience of the distribution substation in response to extreme or peak conditions. Moreover, the target substation is divided into multiple voltage regulation sub-regions based on the current direction of each branch, and a corresponding voltage regulation objective function is established for each sub-region. This makes the regulation target of each sub-region clearer, significantly improving the accuracy of voltage management. Furthermore, with the goal of minimizing the node voltage deviation of each voltage regulation sub-region, the voltage regulation objective function of the corresponding voltage regulation sub-region is solved, and the voltage of the controllable resources in the corresponding voltage regulation sub-region is regulated based on the solution results. This achieves coordinated regulation of three types of controllable resources: flexible charging piles, energy storage systems, and photovoltaic inverters. While solving the voltage limit problem, it can also effectively reduce grid losses in the distribution area, improve the local photovoltaic absorption rate, and increase the utilization rate of power resources in the distribution network. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 This is a schematic diagram illustrating the application environment of a power distribution area voltage regulation method provided in an embodiment of this application;

[0049] Figure 2 This is a schematic flowchart of a distribution area voltage regulation method provided in an embodiment of this application;

[0050] Figure 3 This is a flowchart illustrating a method for determining a voltage regulation objective function provided in an embodiment of this application;

[0051] Figure 4 This is a schematic diagram of the structure of a distribution area voltage regulation device provided in an embodiment of this application;

[0052] Figure 5 This is a schematic diagram of the internal structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0054] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0055] The distribution area voltage regulation method provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, Figure 1 This is a schematic diagram illustrating the application environment of a power distribution area voltage regulation method provided in this application embodiment. The terminal 102 communicates with the server 104 via a network. A data storage system can store the data that the server 104 needs to process. The data storage system can be integrated onto the server 104, or it can be located on a cloud or other network server. The terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, etc. The server 104 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0056] In one exemplary embodiment, Figure 2 This is a flowchart illustrating a distribution area voltage regulation method provided in an embodiment of this application, which is applied to... Figure 1 Taking server 104 as an example, the explanation is as follows: Figure 2 As shown, the process includes steps 201 to 206, wherein:

[0057] Step 201: Based on the urgency of user departure at each charging pile in the target distribution area at the current moment, determine the flexible charging piles in the target distribution area at the current moment.

[0058] For example, the distribution area to be regulated can be defined as the target distribution area, which may include controllable resources such as charging piles, energy storage systems and photovoltaic inverters.

[0059] During the voltage regulation of the target distribution area, the remaining charging capacity of each charging pile in the target distribution area at the current moment, the expected departure time of the user using the corresponding charging pile, and the rated maximum charging power of the corresponding charging pile can be obtained. Based on the remaining charging capacity of each charging pile at the current moment, the expected departure time of the user using the corresponding charging pile, and the rated maximum charging power of the corresponding charging pile, the urgency of the user's departure at the current moment can be determined.

[0060] In addition, it can collect information such as the three-phase active power flow and its direction of each branch of the target distribution area, the three-phase voltage amplitude of each distribution area node, the active and reactive power output of each photovoltaic inverter, the current state of charge (SOC) and charging and discharging power of the energy storage system, and the real-time charging power of each charging pile every 15 minutes.

[0061] Among them, the distribution area refers to the entire user area covered by a distribution transformer and its low-voltage power supply lines, and is the basic management unit of low-voltage power distribution.

[0062] The three-phase active power flow of each branch in a distribution transformer area refers to the magnitude and direction of the active power flowing in phases A, B, and C of each low-voltage branch circuit within the power supply range of the distribution transformer (distribution transformer area), reflecting the distribution and flow of electrical energy under steady-state conditions. Low-voltage branches may include branch lines, meter boxes, etc.

[0063] Each branch line refers to the segmented line from the low-voltage output line of the transformer to the end user's electricity meter, such as the junction box, the service line, etc.

[0064] Three-phase: Since low-voltage power distribution is mostly 380V / 220V three-phase four-wire system, it is necessary to analyze the power of phases A, B, and C separately, especially under unbalanced loads, the power flow differences between phases are significant.

[0065] Active power flow: refers to the amount of active power (P) actually doing work transmitted in a branch. A positive value indicates that the power flows from the transformer to the load, while a negative value indicates reverse power supply, such as photovoltaic reverse power supply.

[0066] Furthermore, based on the urgency of user departure at each charging station at the current moment, flexible charging stations are selected from all charging stations in the target distribution area. These flexible charging stations have adjustable voltage during their charging periods, thus fully utilizing charging stations with adjustable voltage while ensuring a good user charging experience.

[0067] Step 202: Based on the predicted charge state of the energy storage system of the target distribution area at the current moment and the adjustable range of the charge state at the current moment, determine the adjustment mode of the energy storage system at the current moment.

[0068] Furthermore, the state of charge (SOC) of the energy storage system in the target distribution area can be predicted at all times of the day, thus obtaining the predicted SOC of the energy storage system in the target distribution area at the current moment. This prediction is then based on the maximum SOC of the energy storage system. max and minimum charge state (SOC) min This determines the adjustable range of the charge state at the current moment.

[0069] Furthermore, based on the predicted state of charge and the adjustable range of the state of charge of the energy storage system at the current moment, the regulation mode of the energy storage system at the current moment is determined. The regulation mode of the energy storage system includes an adjustable mode and a reset mode. The reset mode means that the energy storage system charges and discharges according to the voltage of the previous regulation cycle. The adjustable mode means that the voltage of the energy storage system can be regulated within the current regulation cycle corresponding to the current moment.

[0070] Step 203: Based on the current direction of each branch in the target distribution area, divide the target distribution area into multiple voltage regulation sub-areas.

[0071] The voltage regulation sub-region includes an overvoltage regulation sub-region and an undervoltage regulation sub-region.

[0072] For example, the location where power equipment is connected to the power grid can be defined as a transformer substation node.

[0073] Furthermore, the current directions of any two adjacent branches within the target distribution area, including those of the same distribution area node, can be multiplied together, and the result of the multiplication can be used to determine whether the same distribution area node is a boundary point. Specifically, if the multiplication result is less than zero, the same distribution area node is a boundary point; otherwise, the same distribution area node is a non-boundary point.

[0074] If the same transformer substation node is a boundary point, then the areas above and below the same transformer substation node are divided into overvoltage regulation sub-regions and undervoltage regulation sub-regions. If the photovoltaic active power output direction is on the upper side of the same transformer substation node, then the upper side of the same transformer substation node is the overvoltage regulation sub-region; if the charging load input direction is on the upper side of the same transformer substation node, then the lower side of the same transformer substation node is the undervoltage regulation sub-region.

[0075] Step 204: Based on the charging and discharging power adjustment of the flexible charging piles matched with each transformer sub-node at the current moment, the charging and discharging power adjustment of the energy storage system in the current adjustment mode, and the charging and discharging power adjustment of the photovoltaic inverter in each voltage regulation sub-region, construct the voltage regulation objective function of the corresponding voltage regulation sub-region.

[0076] Furthermore, a corresponding voltage regulation objective function is constructed for each voltage regulation sub-region. Specifically, the active power change and reactive power change of the corresponding sub-region node are determined by taking the charging and discharging power regulation of the flexible charging piles matched with each sub-region node at the current moment, the charging and discharging power regulation of the energy storage system under the current regulation mode, and the charging and discharging power regulation of the photovoltaic inverter in each voltage regulation sub-region.

[0077] Furthermore, based on the changes in active power, reactive power, active power change sensitivity coefficient, reactive power change sensitivity coefficient, and the voltage of the corresponding transformer substation at the initial moment of the current cycle, the per-unit voltage value of the corresponding transformer substation at the current moment is determined. Then, based on the per-unit voltage values ​​of all transformer substations within the corresponding voltage regulation sub-region, a voltage regulation objective function for the corresponding voltage regulation sub-region is constructed. The per-unit voltage value represents the ratio of the actual voltage to the selected reference voltage.

[0078] As an example, the voltage regulation objective function of the voltage regulation sub-region is:

[0079] ;

[0080] in, For voltage regulation sub-region The voltage regulation objective function, U i,t Let be the per-unit voltage value of node i in the transformer area at time t, in units of pu (µA) and U (µA). ref As an example, U is the reference voltage for the transformer substation node. ref =1.0pu.

[0081] in, S P(i,j) The sensitivity coefficient of the active power change at transformer node j to the active power change of the voltage at transformer node i is given by units of pu / kW and S. Q(i,j) S represents the sensitivity coefficient of reactive power change at transformer node j to reactive power change at transformer node i, expressed in pu / kvar. P(i,j) and S Q(i,j) It can be calculated offline from the line parameters of the transformer area, U i,0 ΔP represents the voltage at node i in the transformer area at the initial moment of the current cycle; this voltage is the measured voltage. j,t ΔQ j,t These represent the changes in active power and reactive power at node j in the transformer substation at time t, respectively, in kW.

[0082] Step 205: With the goal of minimizing the voltage deviation of all substation nodes in each voltage regulation sub-region, solve the voltage regulation objective function of each voltage regulation sub-region to obtain the voltage regulation amount of all controllable resources in the corresponding voltage regulation sub-region at the current moment.

[0083] Step 206: Based on the voltage regulation amount, adjust the voltage of the controllable resources in the corresponding voltage regulation sub-region. Controllable resources include flexible charging piles, energy storage systems, and photovoltaic inverters.

[0084] Furthermore, by applying constraints, the objective is to minimize the voltage deviation of all transformer nodes in each voltage regulation sub-region, i.e. Taking the minimum value as the objective, the voltage regulation objective function of the corresponding voltage regulation sub-region is solved, thereby obtaining the voltage regulation sub-region. The voltage regulation of all controllable resources at the current moment, whereby the controllable resources may include voltage regulation sub-regions. The system includes flexible charging piles, energy storage systems, and photovoltaic inverters.

[0085] Furthermore, based on the voltage regulation amount of each controllable resource at the current moment, the voltage regulation sub-region is... In this process, the voltage of the corresponding controllable resources is regulated so that the voltage in each voltage regulation sub-region can be output stably after regulation, and the problem of voltage exceeding the limit is overcome.

[0086] In the above implementation process, the flexible charging piles in the target distribution substation are determined based on the urgency of user departure at each charging pile in the current moment. This fully leverages the charging time flexibility of non-urgent users while ensuring the charging experience for users with urgent needs, transforming it into a high-quality resource that the grid can adjust. Furthermore, based on the predicted charge state of the energy storage system in the target distribution substation at the current moment, and its adjustable range, the adjustment mode of the energy storage system is determined. This prevents the energy storage system from running out of power during off-peak hours in the daytime due to frequent real-time voltage regulation, ensuring that the energy storage system still has sufficient power to support critical moments such as the evening when photovoltaic power fails or peak loads (e.g., concentrated charging of electric vehicles). This significantly improves the continuous adjustment capability and operational resilience of the distribution substation in response to extreme or peak conditions. Moreover, the target substation is divided into multiple voltage regulation sub-regions based on the current direction of each branch, and a corresponding voltage regulation objective function is established for each sub-region. This makes the regulation target of each sub-region clearer, significantly improving the accuracy of voltage management. Furthermore, with the goal of minimizing the node voltage deviation of each voltage regulation sub-region, the voltage regulation objective function of the corresponding voltage regulation sub-region is solved, and the voltage of the controllable resources in the corresponding voltage regulation sub-region is regulated based on the solution results. This achieves coordinated regulation of three types of controllable resources: flexible charging piles, energy storage systems, and photovoltaic inverters. While solving the voltage limit problem, it can also effectively reduce grid losses in the distribution area, improve the local photovoltaic absorption rate, and increase the utilization rate of power resources in the distribution network.

[0087] In one embodiment, a voltage regulation objective function for each voltage regulation sub-region is constructed based on the charging and discharging power regulation of the flexible charging piles matched with each transformer sub-node at the current moment, the charging and discharging power regulation of the energy storage system under the current regulation mode, and the charging and discharging power regulation of the photovoltaic inverter. As an example, Figure 3 This is a flowchart illustrating a method for determining a voltage regulation objective function according to an embodiment of this application, as shown below. Figure 3 As shown, the method may include steps 2041 to 2043, wherein:

[0088] Step 2041: Based on the charging and discharging power adjustment of the flexible charging piles matched with each transformer sub-node in each voltage regulation sub-region at the current time, the charging and discharging power adjustment of the energy storage system in the current regulation mode, and the charging and discharging power adjustment of the photovoltaic inverter, construct the voltage sensitivity matrix of the corresponding transformer sub-node.

[0089] For example, the pre-stored line parameters of the target distribution substation are called, mainly including the resistance (R) and reactance (X) of the feeders between each substation node, and the active power change sensitivity coefficient (S) is calculated based on the obtained line parameters (usually derived through the inverse matrix of the node admittance matrix or Jacobian matrix). P ) and the sensitivity coefficient of reactive power change (S Q ).

[0090] Among them, the sensitivity coefficient of active power change (S) P This represents the numerical change in voltage amplitude at each node caused by injecting a unit of active power (1kW) into a certain transformer substation. The reactive power change sensitivity coefficient (S) Q () represents the numerical value of the change in voltage amplitude at each node when a unit of reactive power (1 kvar) is injected at a certain node.

[0091] Furthermore, the determined power change sensitivity coefficients are assembled into a matrix. For each flexible charging pile, energy storage system, and photovoltaic inverter (i.e., controllable resource) in the current voltage regulation sub-region, the matrix records their voltage influence coefficients on all substation nodes within the voltage regulation sub-region.

[0092] Step 2042: Based on the voltage sensitivity matrix of each transformer substation node, determine the voltage of all transformer substation nodes in each voltage regulation sub-region.

[0093] Furthermore, obtain the initial measured voltage U of each transformer node at the current time t. i,0 And the power changes (ΔP and ΔQ) of each controllable resource at the current moment, including: the increase in charging power of the flexible charging pile, the discharge of the energy storage system, and the reactive power generated by the photovoltaic inverter, ultimately resulting in ΔP. j,t and ΔQ j,t .

[0094] Furthermore, according to Determine the voltage of all substation nodes in each voltage regulation sub-region, which yields the theoretical voltage value of each substation node in the target distribution sub-region after all controllable resources in each voltage regulation sub-region are regulated to a predetermined power.

[0095] Step 2043: Based on the voltage of all substation nodes in each voltage regulation sub-region, construct the voltage regulation objective function for the corresponding voltage regulation sub-region.

[0096] Furthermore, the objective function is to minimize the sum of squared voltage deviations of all transformer nodes within the voltage regulation sub-region, i.e., to make the voltage of all transformer nodes as close as possible to the standard value, such as 1.0 pu, thereby constructing the voltage regulation objective function for the corresponding voltage regulation sub-region.

[0097] In the process of solving the problem, the physical constraints of various devices must be met simultaneously, such as the remaining capacity of the photovoltaic inverter, the SOC limit of energy storage, the charging demand of charging piles, and the safety constraints of the power grid, namely, the voltage of the transformer substation node cannot exceed the hard upper and lower limits of 0.93~1.07 pu.

[0098] Finally, the voltage regulation objective function of each voltage regulation sub-region can be solved using convex optimization algorithms such as second-order cone programming, and the optimal voltage regulation amount of each controllable resource at the current moment, i.e., the specific charging and discharging power command, can be output.

[0099] In the above implementation process, a sensitivity matrix is ​​constructed based on the charging and discharging power adjustment of controllable resources within the voltage regulation sub-region, thereby transforming complex nonlinear power flow calculations into simple linear matrix operations. Furthermore, the voltage of all transformer sub-region nodes is determined based on this sensitivity matrix. Finally, the voltage regulation objective function of the corresponding voltage regulation sub-region is constructed based on the voltage of all transformer sub-region nodes, realizing the coordinated regulation of flexible charging piles, energy storage systems, and photovoltaic inverters. This avoids additional grid losses caused by blind regulation and ensures the stability of global voltage regulation in the target distribution transformer sub-region.

[0100] In one embodiment, with the goal of minimizing the voltage deviation of all transformer nodes in each voltage regulation sub-region, the voltage regulation objective function of each voltage regulation sub-region is solved to obtain the voltage regulation amount of the flexible charging pile, energy storage system, and photovoltaic inverter in the corresponding voltage regulation sub-region at the current moment. This can include the following steps S1 to S5, wherein:

[0101] Step S1: Determine voltage constraints based on the voltage range of each transformer substation node.

[0102] Step S2: Based on the rated power of each photovoltaic inverter and the active power output of the corresponding photovoltaic inverter at the current moment, determine the unused capacity constraint of the photovoltaic inverter.

[0103] Step S3: Determine the voltage regulation bandwidth constraint based on the adjustable range of the charge state at the current moment.

[0104] Step S4: Determine the target constraints based on voltage constraints, photovoltaic inverter no-function capacity constraints, voltage regulation bandwidth constraints, and power constraints of flexible charging piles.

[0105] Step S5: Based on the objective constraint, with the goal of minimizing the voltage deviation of all transformer nodes in each voltage regulation sub-region, solve the voltage regulation objective function of each voltage regulation sub-region to obtain the voltage regulation amount of the flexible charging pile, energy storage system and photovoltaic inverter in the corresponding voltage regulation sub-region at the current moment.

[0106] For example, the voltage range of each transformer substation node can be defined as a voltage constraint. That is, the voltage constraint of each transformer substation node is:

[0107] ;

[0108] Among them, U min U represents the lower voltage limit for each transformer substation node. max As an example, U represents the upper voltage limit for each transformer substation node. min =0.93pu, U max =1.07pu.

[0109] Based on the rated power of each photovoltaic inverter and its active power output at the current moment, the no-function capacity constraint of the photovoltaic inverter is determined. As an example, the no-function capacity constraint of the photovoltaic inverter is:

[0110] ;

[0111] Among them, S PV,k P represents the rated apparent power of the photovoltaic inverter k, expressed in kVA. PV,k,t The active power output of inverter k at the current moment is expressed in kW; the reactive power constraint ensures that the photovoltaic inverter provides reactive power within the remaining capacity range under the current active power output.

[0112] The voltage regulation bandwidth constraint is determined based on the adjustable range of the charge state at the current moment. As an example, the voltage regulation bandwidth constraint is:

[0113] ;

[0114] Wherein, ΔSOC band For real-time layer voltage regulation, the allowable bandwidth is ΔSOC. band =10%, SOC ref (t) represents the predicted charge state of the energy storage system at the current time t.

[0115] In addition, the power constraints for flexible charging stations can be:

[0116] ;

[0117] Among them, E remain,k,t P represents the remaining charging capacity of the flexible charging pile k at the current time t, which has not yet been fully charged. The unit is kWh. EV,k,max P represents the rated maximum charging power of the flexible charging pile k at the current time t, in kW. EV,k,t Let t be the power of the flexible charging pile k at the current time, in kW.

[0118] Furthermore, the voltage constraint, the non-functionality constraint of the photovoltaic inverter, the voltage regulation bandwidth constraint, and the power constraint of the flexible charging pile are jointly determined as the target constraint. Based on the target constraint, with the goal of minimizing the voltage deviation of all transformer nodes in each voltage regulation sub-region, the voltage regulation objective function of each voltage regulation sub-region is solved to obtain the voltage regulation amount of each controllable resource at the current moment.

[0119] Furthermore, steps 201 to 206 can be executed cyclically according to the control cycle to achieve continuous rolling regulation of the voltage of the target distribution area. As an example, the control cycle can be 15 minutes or 20 minutes, without limitation.

[0120] In the above implementation process, voltage constraints are determined based on the voltage range of each distribution node. This ensures that any output regulation strategy must guarantee that the voltage of all nodes within the distribution area remains within the acceptable range, thus avoiding new voltage exceedances or safety accidents caused by improper regulation and ensuring the safe and stable operation of the distribution network under highly dynamic regulation. Based on the rated power and current active power output of the photovoltaic inverter, a reactive power capacity constraint is determined for the photovoltaic inverter. This ensures that while generating active power, the photovoltaic inverter typically has surplus capacity to generate or absorb reactive power, improving the distribution area's ability to absorb distributed photovoltaic power. Based on the adjustable range of the current charge state, a voltage regulation bandwidth constraint is determined, protecting the lifespan of the energy storage battery and ensuring that the energy storage system still has sufficient power to support the distribution area voltage during critical power consumption periods such as evening peak hours after the photovoltaic system's shutdown, guaranteeing all-weather regulation resilience. Finally, the power constraint of the flexible charging pile is used as the target constraint, and the voltage deviation of all substation nodes in the voltage regulation sub-region is minimized as the objective. The voltage regulation objective function of the voltage regulation sub-region is solved so that the obtained voltage regulation amount can ensure the coordinated control of the distribution sub-region among the flexible charging pile, energy storage system and photovoltaic inverter, and realize the global coordination and economical and efficient operation of the power grid, energy storage and generation in the sub-region.

[0121] In one embodiment, after regulating the voltage of the controllable resource in the corresponding voltage regulation sub-region based on the voltage regulation amount, the method may further include steps 207 to 209, wherein:

[0122] Step 207: In the target voltage regulation sub-region, if the voltage regulation of all controllable resources matched with all transformer nodes reaches the corresponding regulation limit, and there are transformer nodes whose voltage exceeds the voltage constraint, the transformer node whose voltage exceeds the voltage constraint is identified as an over-limit transformer node.

[0123] The target voltage regulation sub-region is any voltage regulation sub-region among all voltage regulation sub-regions.

[0124] For example, the target voltage regulation sub-region is any one of the voltage regulation sub-regions. After voltage regulation is performed according to each controllable resource, it is determined whether the voltage regulation of all controllable resources matching all transformer nodes in the target voltage regulation sub-region has reached the corresponding regulation limit.

[0125] If the voltage regulation of all controllable resources reaches the corresponding regulation limit, and there are still substation nodes in the target voltage regulation sub-region whose voltage exceeds the voltage constraint, then the substation nodes in the target voltage regulation sub-region whose voltage exceeds the voltage constraint are identified as over-limit substation nodes.

[0126] Step 208: In multiple voltage regulation sub-regions, merge the controllable resources in adjacent voltage regulation sub-regions into the over-limit substation node to obtain controllable resources that match the over-limit substation node; the adjacent voltage regulation sub-region is the voltage regulation sub-region that is closest to the target voltage regulation sub-region and has a different region type than the target voltage regulation sub-region.

[0127] Furthermore, cross-regional coordination can be carried out, that is, controllable resources from other voltage regulation sub-regions that are adjacent to the target voltage regulation sub-region but have different regional types can be merged into controllable resources that match the over-limit substation node, thereby obtaining merged controllable resources that match the over-limit substation node.

[0128] It should be noted that the multiple voltage regulation sub-regions include two types: overvoltage regulation sub-regions and undervoltage regulation sub-regions. The region types of adjacent voltage regulation sub-regions and the target voltage regulation sub-region are different.

[0129] Step 209: Adjust the voltage of controllable resources that match the over-limit transformer nodes until the voltage of all transformer nodes in the target voltage regulation sub-region does not exceed the voltage constraint.

[0130] Furthermore, the voltage regulation amount of the merged controllable resources in the target voltage regulation sub-region can be determined using the methods described in steps 201 to 205 above. Based on the determined voltage regulation amount, the voltage of the controllable resources matched with the over-limit substation nodes is adjusted until the voltage of all substation nodes in the target voltage regulation sub-region does not exceed the voltage constraint.

[0131] In other words, if voltage limits still exceed the limits at some transformer sub-regions after all controllable resources in a certain voltage regulation sub-region have reached their regulation limits, cross-regional coordination is implemented. This involves introducing controllable resources with the closest electrical distance from adjacent voltage regulation sub-regions based on the electrical distance between the exceeding sub-region nodes, and adding them to the voltage regulation objective function corresponding to the target voltage regulation sub-region. This achieves cross-regional coordinated voltage control. As an example, the electrical distance between exceeding sub-region nodes can be expressed as the sum of the feeder segment resistances. This needs to be determined. The number of controllable resources introduced across regions should not exceed three at a time, to prevent large-scale cross-regional coordination from causing new regulatory disturbances.

[0132] In the aforementioned implementation process, when the voltage regulation of all controllable resources reaches its limit and the voltage of some distribution nodes still exceeds the constraints, cross-regional voltage coordination control is performed to ensure that even under the worst operating conditions, the voltage of the distribution area can be forcibly pulled back to a safe range. Furthermore, controllable resources are introduced from adjacent voltage regulation sub-regions of different regional types, thereby transforming the regulation capacity of surplus areas into supporting forces for scarce areas. This achieves cross-spatial complementarity of peak shaving and valley filling resources, greatly improving the overall resilience and resource utilization rate of the entire distribution area in the face of complex and extreme scenarios.

[0133] In one embodiment, determining the available flexible charging piles in the target distribution area at the current moment based on the urgency of user departure at each charging pile in the target distribution area may include the following steps 2011 to 2012, wherein:

[0134] Step 2011: Based on the remaining charging capacity of each charging pile in the target distribution area at the current moment, the user's expected departure time, and the rated power, determine the urgency of the user's departure at each charging pile at the current moment.

[0135] Step 2012: Among the charging piles in the target distribution area, the charging piles whose user departure urgency is less than the urgency threshold are identified as the flexible charging piles in the target distribution area at the current moment.

[0136] For example, the urgency of user departure for each charging station in the target distribution area can be determined based on the remaining charging capacity of each charging station at the current moment, the user's expected departure time, and the rated power. As an example, the urgency of user departure can be:

[0137] ;

[0138] Among them, U k,t Let E represent the urgency of user departure at charging pile k at the current time t, which is the reciprocal of the ratio of the amount of electricity that can be completed by charging at maximum power to the actual remaining demand, and its value ranges from [0, 1]. remain,k,t The remaining charging capacity of the flexible charging pile k at time t is the amount of electricity that has not yet been fully charged, expressed in kWh. dep,k Estimated departure time for users using charging station k, in hours; P EV,k,max This represents the rated maximum charging power of the flexible charging pile k at the current time t, in kW.

[0139] Furthermore, an urgency threshold U can be set. th As an example, the urgency threshold Uth =0.7.

[0140] When U k,t U th At that time, the corresponding charging pile is a rigid charging pile, and its charging power is maintained at no less than E. remain,k,t / (t dep,k t), which is prioritized by energy storage; when U k,t th At that time, the corresponding charging pile is a flexible charging pile, and its charging period is in the range [t, t]. dep,k The power that can be elastically migrated within the range is: P surplus,t =P pv,t P load,t P EV,rigid,t When P surplus,t Greater than or equal to the trigger threshold P surplus,th At that time, the flexible charging station increases to its maximum charging power P. EV,k,max Participate in consumption; when P surplus,t Less than P surplus,th At that time, the flexible charging piles will reduce to the lowest charging power, postponing the charging demand until the photovoltaic power is sufficient.

[0141] Furthermore, at any given time of day, charging station k must meet the following constraint to complete the charging:

[0142] , ;

[0143] in, Let k be the power of the charging pile at the current time t; Let t be the time difference between the charging pile k at the current time t and the time when charging is completed. The rated energy capacity of charging pile k.

[0144] In the aforementioned implementation process, the urgency of user departure at each charging pile is determined by the remaining charging capacity of the charging pile at the current moment, the user's expected departure time, and the rated power. This ensures that the interests of users with urgent vehicle needs are not sacrificed in subsequent grid regulation, fundamentally avoiding user complaints about insufficient power supply caused by blindly shaving peak loads. Furthermore, an urgency threshold is introduced to screen charging piles, enabling the precise identification of controllable charging piles from a massive pool. This significantly increases the actual capacity of charging piles participating in grid interaction and provides a sufficient and safe flexible regulation mechanism for distribution areas facing voltage over-limits or peak loads.

[0145] ​In one embodiment, charging piles in the target distribution area whose user departure urgency is greater than or equal to an urgency threshold are identified as rigid charging piles in the target distribution area at the current moment; the method may further include steps 2021 to 2022, wherein:

[0146] Step 2021: Based on the predicted photovoltaic output, predicted base load, and predicted charging power of the target distribution area, determine the predicted remaining power of the target distribution area at each time point within the preset time period.

[0147] Step 2022 determines the predicted charge state of the energy storage system at the current moment based on the initial charge state of the energy storage system and the integral results of the predicted remaining power at each moment within a preset time period.

[0148] For example, the charging piles in the target distribution area that correspond to a user's urgency level of leaving the site being greater than or equal to the urgency threshold are identified as the rigid charging piles in the target distribution area at the current moment.

[0149] Furthermore, based on the predicted photovoltaic output, base load, and charging power of the target distribution area, the predicted remaining power of the target distribution area at each moment within a preset time period can be determined. For example, at midnight each day, based on the predicted photovoltaic output of the target distribution area... Forecast value of basic load in distribution area and the predicted charging power of rigid charging piles Calculate the predicted residual power at each time point throughout the day. for:

[0150] ;

[0151] Furthermore, starting from the initial state of charge (SOC0) of the energy storage system, the predicted remaining power at all times throughout the day is cumulatively integrated to obtain the predicted state of charge of the energy storage system at all times throughout the day. :

[0152] = + ;

[0153] in, , These are the charging and discharging efficiencies of the energy storage system; This refers to the rated energy capacity of the energy storage system, expressed in kWh. via [SOC] min SOC max After truncation, the data can be stored in the area controller.

[0154] Furthermore, the predicted charge state of the energy storage system at the current time t can be determined based on the current time t. .

[0155] This allows the energy storage system's regulation mode at the current moment to be determined based on the predicted state of charge and the adjustable range of the state of charge at that moment. As an example, the real-time lattice voltage regulation allowable bandwidth is: ΔSOC. band =10%; when the real-time charge state (SOC) of the energy storage system is... t Exceeding bandwidth [SOC] ref (t) ΔSOC band SOC ref (t)+ΔSOC band When [the system is in a state of charge / discharge state], the energy storage system can perform SOC reset charging and discharging according to the following formula:

[0156] ;

[0157] Where ρ is the regression rate coefficient, and as an example, ρ=0.5, so that the SOC returns to the bandwidth in about 2 control cycles; as an example, the control cycle length can be 15 minutes.

[0158] When the real-time state of charge (SOC) of the energy storage system t Not exceeding bandwidth [SOC] ref (t) ΔSOC band SOC ref (t)+ΔSOC band When the energy storage system participates in the voltage regulation of the current control cycle, the regulation modes of the energy storage system include: the energy storage system participates in the voltage regulation of the current control cycle, or the energy storage system does not participate in the voltage regulation of the current control cycle and performs charging or discharging operations to restore the SOC to the reference trajectory.

[0159] In the above implementation process, by predicting the integral result of the remaining power within a preset time period, the predicted state of charge of the energy storage system at the current moment is determined. This proactive prediction allows the control process to adjust the charging and discharging strategy in conjunction with the pre-identified risk of exceeding power limits, significantly improving the safety of the energy storage system. Furthermore, by determining the predicted state of charge based on the initial state of charge and the future power integral, and by extrapolating the energy integral, the problem of frequent shallow charging and discharging of the energy storage system is avoided, effectively extending the lifespan of the energy storage battery.

[0160] In one embodiment, dividing the target distribution sub-region into multiple voltage regulation sub-regions based on the current direction of each branch in the target distribution sub-region may include the following steps 2031 to 2032, wherein:

[0161] Step 2031: Determine the type of the same distribution node based on the current direction of adjacent branches of the same distribution node in the target distribution area.

[0162] The types of transformer area nodes include boundary transformer area nodes or non-boundary transformer area nodes.

[0163] Step 2032: When the same distribution area node is a boundary distribution area node, the upstream side of the same distribution area node is determined as the overvoltage regulation sub-region, and the downstream side of the same distribution area node is determined as the undervoltage regulation sub-region, until all distribution area nodes in the target distribution area are traversed, resulting in multiple voltage regulation sub-regions.

[0164] For example, each node in the target distribution area can be connected via a feeder line, thereby obtaining any two adjacent branches (h, i) and (i, j) on the feeder line, and defining the sign function of the active power flow direction for each branch. If the active power flows from the beginning to the end of the node, the sign function is +1; otherwise, it is -1. 1. Further, calculate the product of the directions of adjacent branches:

[0165] ;

[0166] like If active power flows simultaneously from both sides to transformer node i, or from transformer node i to both sides, then transformer node i is the boundary transformer node j* for power convergence. 0, where the transformer node i is a non-boundary transformer node.

[0167] Furthermore, j* is the boundary, and the upstream side of j* (the direction of photovoltaic active power output) is designated as the overvoltage regulation sub-region Ω. OV The downstream side (in the direction of charging load input) is designated as the undervoltage regulation sub-region Ω. UV Then, by traversing all the substation nodes in the target distribution substation using the methods in steps 2031 to 2032, the target distribution substation is divided into multiple voltage regulation sub-regions.

[0168] If none of the adjacent branch pairs on the feeder meet the criteria during the current control cycle, then there is no power combiner node in the transformer area, and the entire transformer area is treated as a single regulation zone.

[0169] In the above implementation process, nodes where the current direction changes (i.e., power flow convergence points) in the distribution network are often extreme points or turning points in the voltage distribution. By determining whether a node is a boundary node by analyzing the current direction of adjacent branches within the same distribution area, the watershed of voltage distribution within the area can be accurately located. This clearly segments the area into functionally distinct independent units, enabling real-time reconstruction of the control region that best matches the current physical state, greatly improving the flexibility and timeliness of the control strategy. Furthermore, each independent unit is divided into overvoltage regulation sub-regions and undervoltage regulation sub-regions, with different control strategies applied to different region types. This fundamentally avoids conflicts in control commands between different regions, significantly improving the accuracy of voltage adjustment.

[0170] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0171] Based on the same inventive concept, this application also provides a distribution station voltage regulation device for implementing the above-described distribution station voltage regulation method. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the distribution station voltage regulation device provided below can be found in the limitations of the distribution station voltage regulation method described above, and will not be repeated here.

[0172] In one exemplary embodiment, Figure 4 This is a schematic diagram of the structure of a distribution area voltage regulation device provided in an embodiment of this application, as shown below. Figure 4 As shown, the device includes:

[0173] The flexible charging pile determination module 401 is used to determine the flexible charging piles in the target distribution area at the current time based on the urgency of user departure at each charging pile in the target distribution area at the current time.

[0174] The adjustment mode determination module 402 is used to determine the adjustment mode of the energy storage system at the current time based on the predicted charge state of the energy storage system of the target distribution area at the current time and the adjustable range of the charge state at the current time.

[0175] The sub-region division module 403 is used to divide the target distribution sub-region into multiple voltage regulation sub-regions based on the current direction of each branch in the target distribution sub-region.

[0176] The objective function construction module 404 is used to construct the voltage regulation objective function of the corresponding voltage regulation sub-region based on the charging and discharging power regulation amount of the flexible charging pile matched with each transformer node at the current time, the charging and discharging power regulation amount of the energy storage system in the regulation mode at the current time, and the charging and discharging power regulation amount of the photovoltaic inverter in each voltage regulation sub-region.

[0177] The solution module 405 is used to solve the voltage regulation objective function of each voltage regulation sub-region with the goal of minimizing the voltage deviation of all the substation nodes in each voltage regulation sub-region, so as to obtain the voltage regulation amount of all controllable resources in the corresponding voltage regulation sub-region at the current time.

[0178] The control module 406 is used to control the voltage of the controllable resources in the corresponding voltage regulation sub-region based on the voltage regulation amount; the controllable resources include the flexible charging pile, the energy storage system, and the photovoltaic inverter.

[0179] In one embodiment, the objective function construction module 404 is specifically used for:

[0180] Based on the charging and discharging power adjustment of the flexible charging pile matched with each transformer sub-node in each voltage regulation sub-region at the current time, the charging and discharging power adjustment of the energy storage system in the regulation mode at the current time, and the charging and discharging power adjustment of the photovoltaic inverter, a voltage sensitivity matrix of the corresponding transformer sub-node is constructed.

[0181] Based on the voltage sensitivity matrix of each of the transformer substations, the voltage of all transformer substations in each of the voltage regulation sub-regions is determined;

[0182] Based on the voltage of all the substation nodes in each of the voltage regulation sub-regions, a voltage regulation objective function for the corresponding voltage regulation sub-region is constructed.

[0183] In one embodiment, the objective function construction module 404 is specifically used for:

[0184] Voltage constraints are determined based on the voltage range of each of the aforementioned transformer area nodes;

[0185] Based on the rated power of each photovoltaic inverter and the active power output of the corresponding photovoltaic inverter at the current moment, it is determined that the photovoltaic inverter has no active power constraint.

[0186] Based on the adjustable range of the charge state at the current moment, the voltage regulation bandwidth constraint is determined;

[0187] Based on the voltage constraint, the photovoltaic inverter's no-function capability constraint, the voltage regulation bandwidth constraint, and the power constraint of the flexible charging pile, the target constraint is determined.

[0188] Based on the target constraint, with the goal of minimizing the voltage deviation of all the transformer nodes in each voltage regulation sub-region, the voltage regulation objective function of each voltage regulation sub-region is solved to obtain the voltage regulation amount of the flexible charging pile, the energy storage system and the photovoltaic inverter in the corresponding voltage regulation sub-region at the current time.

[0189] In one embodiment, the control module 406 is further configured to:

[0190] In the target voltage regulation sub-region, if the voltage regulation of all controllable resources matched with all the transformer sub-nodes reaches the corresponding regulation limit, and there is a transformer sub-node whose voltage exceeds the voltage constraint, the transformer sub-node whose voltage exceeds the voltage constraint is identified as an over-limit transformer sub-node; the target voltage regulation sub-region is any voltage regulation sub-region among all voltage regulation sub-regions.

[0191] In the multiple voltage regulation sub-regions, the controllable resources in adjacent voltage regulation sub-regions are merged into the over-limit grid node to obtain controllable resources that match the over-limit grid node; the adjacent voltage regulation sub-region is the voltage regulation sub-region that is closest to the target voltage regulation sub-region and has a different region type from the target voltage regulation sub-region.

[0192] Adjust the voltage of controllable resources that match the over-limit transformer node until the voltage of all transformer nodes in the target voltage regulation sub-region does not exceed the voltage constraint.

[0193] In one embodiment, the flexible charging pile determination module 401 is specifically used for:

[0194] Based on the remaining charging capacity of each charging pile in the target distribution area at the current moment, the user's expected departure time, and the rated power, the urgency of the user's departure at each charging pile at the current moment is determined.

[0195] Among the charging piles in the target distribution area, the charging piles whose user departure urgency is less than the urgency threshold are identified as the flexible charging piles in the target distribution area at the current time.

[0196] In one embodiment, the adjustment mode determination module 402 is specifically used for:

[0197] Based on the predicted photovoltaic output, predicted base load, and predicted charging power of the rigid charging pile of the target distribution area, the predicted remaining power of the target distribution area at each moment within a preset time period is determined.

[0198] Based on the initial charge state of the energy storage system and the integral results of the predicted remaining power at each moment within the preset time period, the predicted charge state of the energy storage system at the current moment is determined.

[0199] In one embodiment, the sub-region partitioning module 403 is specifically used for:

[0200] Based on the current direction of adjacent branches of the same distribution substation in the target distribution substation, the type of the same distribution substation node is determined; the type of distribution substation node includes boundary distribution substation node or non-boundary distribution substation node.

[0201] When the same transformer substation node is the boundary transformer substation node, the upstream side of the same transformer substation node is determined as the overvoltage regulation sub-region, and the downstream side of the same transformer substation node is determined as the undervoltage regulation sub-region, until all transformer substation nodes in the target distribution transformer substation are traversed, resulting in multiple voltage regulation sub-regions.

[0202] Each module in the aforementioned distribution substation voltage regulation device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0203] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 5 As shown, Figure 5This is a schematic diagram of the internal structure of a computer device according to an embodiment of this application. The computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores various types of data for the power distribution station. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements a power distribution station voltage regulation method.

[0204] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0205] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the distribution area voltage regulation method in any of the above embodiments.

[0206] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the distribution area voltage regulation method in any of the above embodiments.

[0207] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0208] 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 computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory may include read-only memory (Read-Only Memory). Only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application may include at least one of relational databases and non-relational databases. Non-relational databases may include distributed databases based on blockchain, etc., and are not limited thereto. The processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited thereto.

[0209] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0210] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for voltage regulation in a distribution station area, characterized in that, The method includes: Based on the urgency of user departure at each charging pile in the target distribution area at the current moment, determine the flexible charging piles in the target distribution area at the current moment. Based on the predicted charge state of the energy storage system of the target distribution area at the current moment and the adjustable range of the charge state at the current moment, the adjustment mode of the energy storage system at the current moment is determined. Based on the direction of the current in each branch of the target distribution station area, the target distribution station area is divided into multiple voltage regulation sub-regions; Based on the charging and discharging power adjustment amount of the flexible charging pile matched with each transformer node in each voltage regulation sub-region at the current time, the charging and discharging power adjustment amount of the energy storage system in the regulation mode at the current time, and the charging and discharging power adjustment amount of the photovoltaic inverter, the voltage regulation objective function of the corresponding voltage regulation sub-region is constructed. With the goal of minimizing the voltage deviation of all the transformer nodes in each voltage regulation sub-region, the voltage regulation objective function of each voltage regulation sub-region is solved to obtain the voltage regulation amount of all controllable resources in the corresponding voltage regulation sub-region at the current time; Based on the voltage regulation amount, the voltage of the controllable resources in the corresponding voltage regulation sub-region is adjusted; the controllable resources include the flexible charging pile, the energy storage system, and the photovoltaic inverter.

2. The method according to claim 1, characterized in that, The voltage regulation objective function for each voltage regulation sub-region is constructed based on the charging and discharging power regulation of the flexible charging piles matched with each transformer node at the current time, the charging and discharging power regulation of the energy storage system in the current time regulation mode, and the charging and discharging power regulation of the photovoltaic inverter, including: Based on the charging and discharging power adjustment of the flexible charging pile matched with each transformer sub-node in each voltage regulation sub-region at the current time, the charging and discharging power adjustment of the energy storage system in the regulation mode at the current time, and the charging and discharging power adjustment of the photovoltaic inverter, a voltage sensitivity matrix of the corresponding transformer sub-node is constructed. Based on the voltage sensitivity matrix of each of the transformer substations, the voltage of all transformer substations in each of the voltage regulation sub-regions is determined; Based on the voltage of all the substation nodes in each voltage regulation sub-region, a voltage regulation objective function for the corresponding voltage regulation sub-region is constructed.

3. The method according to claim 2, characterized in that, The objective function for voltage regulation in each voltage regulation sub-region is solved to minimize the voltage deviation of all transformer nodes in each voltage regulation sub-region. This yields the voltage regulation amount of the flexible charging pile, the energy storage system, and the photovoltaic inverter in the corresponding voltage regulation sub-region at the current moment, including: Voltage constraints are determined based on the voltage range of each of the aforementioned transformer area nodes; Based on the rated power of each photovoltaic inverter and the active power output of the corresponding photovoltaic inverter at the current moment, it is determined that the photovoltaic inverter has no active power constraint. Based on the adjustable range of the charge state at the current moment, the voltage regulation bandwidth constraint is determined; Based on the voltage constraint, the photovoltaic inverter's no-function capability constraint, the voltage regulation bandwidth constraint, and the power constraint of the flexible charging pile, the target constraint is determined. Based on the target constraint, with the goal of minimizing the voltage deviation of all the transformer nodes in each voltage regulation sub-region, the voltage regulation objective function of each voltage regulation sub-region is solved to obtain the voltage regulation amount of the flexible charging pile, the energy storage system and the photovoltaic inverter in the corresponding voltage regulation sub-region at the current time.

4. The method according to claim 1, characterized in that, After adjusting the voltage of the controllable resource in the corresponding voltage regulation sub-region based on the voltage regulation amount, the method further includes: In the target voltage regulation sub-region, if the voltage regulation of all controllable resources matched with all the transformer sub-nodes reaches the corresponding regulation limit, and there is a transformer sub-node whose voltage exceeds the voltage constraint, the transformer sub-node whose voltage exceeds the voltage constraint is identified as an over-limit transformer sub-node; the target voltage regulation sub-region is any voltage regulation sub-region among all voltage regulation sub-regions. In the multiple voltage regulation sub-regions, the controllable resources in adjacent voltage regulation sub-regions are merged into the over-limit grid node to obtain controllable resources that match the over-limit grid node; the adjacent voltage regulation sub-region is the voltage regulation sub-region that is closest to the target voltage regulation sub-region and has a different region type from the target voltage regulation sub-region. Adjust the voltage of controllable resources that match the over-limit transformer node until the voltage of all transformer nodes in the target voltage regulation sub-region does not exceed the voltage constraint.

5. The method according to claim 1, characterized in that, The step of determining the flexible charging piles in the target distribution area at the current time based on the urgency of user departure at each charging pile in the target distribution area includes: Based on the remaining charging capacity of each charging pile in the target distribution area at the current moment, the user's expected departure time, and the rated power, the urgency of the user's departure at each charging pile at the current moment is determined. Among the charging piles in the target distribution area, the charging piles whose user departure urgency is less than the urgency threshold are identified as the flexible charging piles in the target distribution area at the current time.

6. The method according to claim 1, characterized in that, The method further includes identifying, among the charging piles in the target distribution area, those whose user departure urgency is greater than or equal to a urgency threshold as rigid charging piles in the target distribution area at the current moment; the method also includes: Based on the predicted photovoltaic output, predicted base load, and predicted charging power of the rigid charging pile of the target distribution area, the predicted remaining power of the target distribution area at each moment within a preset time period is determined. Based on the initial charge state of the energy storage system and the integral results of the predicted remaining power at each moment within the preset time period, the predicted charge state of the energy storage system at the current moment is determined.

7. The method according to any one of claims 1 to 6, characterized in that, The method of dividing the target distribution sub-region into multiple voltage regulation sub-regions based on the current direction of each branch in the target distribution sub-region includes: Based on the current direction of adjacent branches of the same distribution substation in the target distribution substation, the type of the same distribution substation node is determined; the type of distribution substation node includes boundary distribution substation node or non-boundary distribution substation node. When the same transformer substation node is the boundary transformer substation node, the upstream side of the same transformer substation node is determined as the overvoltage regulation sub-region, and the downstream side of the same transformer substation node is determined as the undervoltage regulation sub-region, until all transformer substation nodes in the target distribution transformer substation are traversed, resulting in multiple voltage regulation sub-regions.

8. A voltage regulation device for a distribution station area, characterized in that, The device includes: The flexible charging pile determination module is used to determine the flexible charging piles in the target distribution area at the current time based on the urgency of user departure at each charging pile in the target distribution area at the current time. The adjustment mode determination module is used to determine the adjustment mode of the energy storage system at the current moment based on the predicted charge state of the energy storage system of the target distribution area at the current moment and the adjustable range of the charge state at the current moment. The sub-region division module is used to divide the target distribution sub-region into multiple voltage regulation sub-regions based on the current direction of each branch in the target distribution sub-region; The objective function construction module is used to construct the voltage regulation objective function of the corresponding voltage regulation sub-region based on the charging and discharging power regulation amount of the flexible charging pile matched with each transformer node in each voltage regulation sub-region at the current time, the charging and discharging power regulation amount of the energy storage system in the regulation mode at the current time, and the charging and discharging power regulation amount of the photovoltaic inverter. The solution module is used to solve the voltage regulation objective function of each voltage regulation sub-region with the goal of minimizing the voltage deviation of all the substation nodes in each voltage regulation sub-region, so as to obtain the voltage regulation amount of all controllable resources in the corresponding voltage regulation sub-region at the current time. The control module is used to control the voltage of the controllable resources in the corresponding voltage regulation sub-region based on the voltage regulation amount; the controllable resources include the flexible charging pile, the energy storage system, and the photovoltaic inverter.

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

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

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