Power distribution network voltage control method and device, electronic equipment and storage medium

Abstract

The invention discloses a power distribution network voltage control method and device, electronic equipment and a storage medium, and relates to the technical field of power grid operation, and the method comprises the steps: receiving first parameter information of a voltage control node and second parameter information of a distributed power supply node in a power distribution network; determining a power sensitivity parameter and a voltage offset of the voltage control node based on the first parameter information and the voltage measurement; determining a current dual variable value based on the voltage offset, the dual variable value of the previous control period and the first parameter information; obtaining the target offset of the current control period based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter and the current dual variable value; and obtaining a target output set value of the distributed power supply node based on the target offset of the current control period, and performing voltage control based on the target output set value. And when the voltage changes rapidly, voltage regulation can be realized more rapidly and accurately, and stable operation of the power distribution network is ensured.

Description

Technical Field

[0001] The present application relates to technical fields such as power grid operation, and in particular to a distribution network voltage control method, device, electronic device and storage medium. Background Art

[0002] With the rapid development of new energy technologies, distributed power sources (DGs) are increasingly being used in distribution networks. These energy sources, such as wind power and solar photovoltaics, offer advantages such as environmental friendliness and abundant resources. However, the introduction of a high proportion of DGs complicates the grid topology and makes voltage distribution more difficult to predict and control. Traditional voltage control methods lack both responsiveness and accuracy when dealing with the rapid fluctuations associated with DGs. To improve the voltage control capabilities of distribution networks, a voltage control method that can respond in real time to changes in DGs is urgently needed. Summary of the Invention

[0003] To this end, the purpose of the embodiments of the present application is to propose a distribution network voltage control method, device, electronic device, storage medium and computer program product. The distribution network voltage control method can achieve voltage regulation more quickly and accurately when facing the rapid changes brought about by distributed power sources, thereby ensuring the stable operation of the distribution network.

[0004] An embodiment of the present application provides a distribution network voltage control method, the method comprising: receiving first parameter information of a voltage control node and second parameter information of a distributed power source node in the distribution network; determining a power sensitivity parameter and a voltage offset of the voltage control node based on the first parameter information and a voltage measurement value of the voltage control node; determining a current dual variable value based on the voltage offset, a dual variable value of a previous control cycle, and the first parameter information; obtaining a target offset of the current control cycle based on the power measurement value of the distributed power source node, the second parameter information, the power sensitivity parameter, and the current dual variable value; obtaining a target output setting value of the distributed power source node based on the target offset of the current control cycle, and performing voltage control based on the target output setting value.

[0005] Exemplarily, the first parameter information includes a dual variable change step size and a first regularization parameter, the voltage offset includes an offset of a voltage upper limit and an offset of a voltage lower limit, the current dual variable value includes a dual variable value related to the voltage upper limit and a dual variable value related to the voltage lower limit, and the current dual variable value is determined by the following formula:

[0006]

[0007] in, is the dual variable value related to the voltage lower limit of node n at time t, is the dual variable value related to the voltage upper limit at node n at time t, n is the node number of the voltage measurement point, t is the current time, tT is the previous control cycle, is the dual variable value related to the voltage lower limit of node n in the previous control cycle, is the dual variable value related to the voltage upper limit of node n in the previous control cycle, is the offset of the voltage upper limit of node n at time t, is the offset of the voltage lower limit of node n at time t, is the step size of the dual variable change, is the first regularization parameter.

[0008] Exemplarily, the target offset of the current control cycle is obtained based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter and the current dual variable value, including: determining the initial offset based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter and the current dual variable value; and correcting the initial offset based on the target offset of the previous control cycle and the second parameter information to obtain the target offset of the current control cycle.

[0009] Exemplarily, the determining of the initial offset based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter and the current dual variable value includes: determining at least one of the first offset of the gradient descent part of the objective function and the second offset of the regularization part based on the power measurement value of the distributed power supply node and the second parameter information; determining the third offset of the voltage constraint part based on the power sensitivity parameter and the current dual variable value; and determining the initial offset based on at least one of the first offset, the second offset and the third offset.

[0010] Exemplarily, the first offset of the gradient descent portion of the objective function is determined by the following formula:

[0011]

[0012] in, Indicates the distributed power supply number and , is the set of node numbers where distributed power sources are located, Indicates the current moment, For The measured active power value of power node i at time instant, For The reactive power measurement value of power node i at the moment, For the current moment The maximum active power output that the distributed power source at node i can provide is: is the objective function, which includes the current moment The operating cost of each distributed power source in the cluster is .

[0013] Exemplarily, the second parameter information includes a second regularization parameter, and the second offset of the regularization part is determined by the following formula:

[0014]

[0015] in, Represents the regularization part, here is , is the second regularization parameter, For The measured active power value of power node i at time instant, For The reactive power measurement value of power node i at time instant.

[0016] Exemplarily, the third offset of the voltage constraint portion is determined by the following formula:

[0017]

[0018] in, Injection node The third offset of the active power related voltage constraint part, Injection node The third offset of the reactive power related voltage constraint part, Indicates the number of the voltage measurement node and , is the set of voltage measurement node numbers, Indicates the injection node The active power injection about the node The voltage sensitivity, Indicates the injection node The reactive power injection about the node The voltage sensitivity, for Time Node The value of the dual variable related to the lower voltage limit, for Time Node The value of the dual variable associated with the upper voltage limit.

[0019] Exemplarily, determining the initial offset based on at least one of the first offset, the second offset, and the third offset includes: adding the first offset, the second offset, and the third offset to obtain the initial offset.

[0020] Exemplarily, the target offset of the previous control cycle includes the target offset of the active power output of the previous control cycle and the target offset of the reactive power output of the previous control cycle, the initial offset includes the initial offset of the active power output and the initial offset of the reactive power output, the second parameter information includes multiple offset correction coefficients, the target offset of the current control cycle includes the target offset of the active power output of the current control cycle and the target offset of the reactive power output of the current control cycle, and the initial offset is corrected based on the target offset of the previous control cycle and the second parameter information to obtain the target offset of the current control cycle, including: when the product of the target offset of the active power output of the previous control cycle and the initial offset of the active power output is greater than a preset threshold, determining the target offset of the active power output of the current control cycle to be the product of the initial offset of the active power output and the first offset correction coefficient; the active power output of the previous control cycle When the product of the target offset of the reactive power output in the previous control cycle and the initial offset of the reactive power output is less than a preset threshold, the target offset of the active power output in the current control cycle is determined to be the product of the initial offset of the active power output and the second offset correction coefficient; when the product of the target offset of the reactive power output in the previous control cycle and the initial offset of the reactive power output is greater than the preset threshold, the target offset of the reactive power output in the current control cycle is determined to be the product of the initial offset of the reactive power output and the third offset correction coefficient; when the product of the target offset of the reactive power output in the previous control cycle and the initial offset of the reactive power output is less than the preset threshold, the target offset of the reactive power output in the current control cycle is determined to be the product of the initial offset of the reactive power output and the fourth offset correction coefficient; wherein the first offset correction coefficient and the third offset correction coefficient are greater than 1, and the second offset correction coefficient and the fourth offset correction coefficient are greater than 0 and less than 1.

[0021] Exemplarily, obtaining the target output setting value of the distributed power supply node based on the target offset of the current control cycle includes: correcting the target output setting value of the distributed power supply node in the previous control cycle based on the target offset of the current control cycle to obtain the target output setting value of the distributed power supply node in the current control cycle.

[0022] Exemplarily, the target output setting value includes a target output setting value of active power output and a target output setting value of reactive power output, and the target output setting value of the distributed power source node in the previous control cycle is corrected based on the target offset of the current control cycle to obtain the target output setting value of the distributed power source node in the current control cycle, including: determining that the sum of the target offset of the active power output of the current control cycle and the target output setting value of the active power output of the previous control cycle is the target output setting value of the active power output of the current control cycle; determining that the sum of the target offset of the reactive power output of the current control cycle and the target output setting value of the reactive power output of the previous control cycle is the target output setting value of the reactive power output of the current control cycle.

[0023] Another embodiment of the present application provides a distribution network voltage control device, the device comprising: a receiving module for receiving first parameter information of a voltage control node and second parameter information of a distributed power source node in the distribution network; a first determination module for determining a power sensitivity parameter and a voltage offset of the voltage control node based on the first parameter information and the voltage measurement value of the voltage control node; a second determination module for determining a current dual variable value based on the voltage offset, the dual variable value of the previous control cycle and the first parameter information; a third determination module for obtaining a target offset of the current control cycle based on the power measurement value of the distributed power source node, the second parameter information, the power sensitivity parameter and the current dual variable value; and a fourth determination module for obtaining a target output setting value of the distributed power source node based on the target offset of the current control cycle, and performing voltage control based on the target output setting value.

[0024] Exemplarily, the first parameter information includes a dual variable change step size and a first regularization parameter, the voltage offset includes an offset of an upper voltage limit and an offset of a lower voltage limit, the current dual variable value includes a dual variable value related to the upper voltage limit and a dual variable value related to the lower voltage limit, and the second determination module determines the current dual variable value using the following formula:

[0025]

[0026] in, for Time Node The value of the dual variable related to the lower voltage limit, for Time Node The value of the dual variable related to the upper voltage limit, is the node number of the voltage measurement point, For the current moment, is the previous control cycle, The node of the previous control cycle The value of the dual variable related to the lower voltage limit, The node of the previous control cycle The value of the dual variable related to the upper voltage limit, for Time Node The offset of the voltage upper limit, for Time Node The offset of the lower voltage limit, is the step size of the dual variable change, is the first regularization parameter.

[0027] Exemplarily, the third determination module is also used to: determine the initial offset based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter and the current dual variable value; and correct the initial offset based on the target offset of the previous control cycle and the second parameter information to obtain the target offset of the current control cycle.

[0028] Exemplarily, the third determination module is also used to: determine at least one of the first offset of the gradient descent part of the objective function and the second offset of the regularization part based on the power measurement value of the distributed power supply node and the second parameter information; determine the third offset of the voltage constraint part based on the power sensitivity parameter and the current dual variable value; determine the initial offset based on at least one of the first offset, the second offset and the third offset.

[0029] Another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method of any of the above embodiments when executing the computer program.

[0030] Another embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the method of any of the above embodiments are implemented.

[0031] Another embodiment of the present application provides a computer program product, which includes instructions. When the instructions are executed by a processor of a computer device, the computer device is enabled to perform the steps of the method of any of the above embodiments.

[0032] In the above embodiment, the distribution network voltage control method includes: receiving first parameter information of a voltage control node and second parameter information of a distributed power source node in the distribution network; determining a power sensitivity parameter and a voltage offset of the voltage control node based on the first parameter information and the voltage measurement value of the voltage control node; determining a current dual variable value based on the voltage offset, the dual variable value of the previous control cycle, and the first parameter information; obtaining a target offset of the current control cycle based on the power measurement value of the distributed power source node, the second parameter information, the power sensitivity parameter, and the current dual variable value; obtaining a target output setting value of the distributed power source node based on the target offset of the current control cycle, and performing voltage control based on the target output setting value. In the face of rapid changes caused by distributed power sources, voltage regulation can be achieved more quickly and accurately, ensuring the stable operation of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 Flowchart of the distribution network voltage control method provided in the embodiment of the present application; Figure 2 A flowchart for determining a target offset for a current control cycle provided by an embodiment of the present application; Figure 3 A flowchart for determining an initial offset provided in an embodiment of the present application; Figure 4 An overall flow chart of the voltage control method provided in the embodiment of the present application; Figure 5 The topological connection conditions provided for the implementation of this application; Figure 6 A schematic diagram of the device and measurement deployment within a cluster provided in an embodiment of the present application; Figure 7 A schematic diagram of a source-charge fluctuation curve provided in an embodiment of the present application; Figure 8 A schematic diagram illustrating the active power output of a distributed power supply according to an embodiment of the present application; Figure 9 A schematic diagram of the reactive power output of a distributed power supply provided in an embodiment of the present application; Figure 10 A schematic diagram of a distribution network voltage control device provided in an embodiment of the present application; Figure 11 A block diagram of an electronic device provided in accordance with an embodiment of the present application. DETAILED DESCRIPTION

[0034] The following describes in detail embodiments of the present application. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0035] With the rapid development of new energy technologies, distributed power sources (DGs) are increasingly being used in distribution networks. DGs, such as wind power and solar photovoltaics, offer advantages such as environmental friendliness and abundant resources. However, the introduction of a high proportion of DGs complicates the grid topology and makes voltage distribution more difficult to predict and control. DGs are often located at the edges of distribution networks, and their output is random and volatile, exacerbating voltage fluctuations. If not effectively controlled, this can lead to voltage overshoots, frequent fluctuations, and even power quality issues, compromising the safe and stable operation of the grid. To address these issues, real-time voltage control methods have emerged. Traditional voltage control methods primarily involve adjusting transformer taps, using voltage regulators, and voltage regulation devices. However, these methods lack the necessary response speed and accuracy to handle the rapid fluctuations brought about by DGs. To improve the voltage control capabilities of distribution networks, a voltage control method that can respond in real time to changes in DGs is urgently needed.

[0036] In some examples, voltage control methods include: analyzing the network characteristics of the low-voltage distribution network using a sensitivity matrix based on the root cause of voltage overshoot; constructing a MAS-based two-tier control model and establishing a MAS-based two-tier distributed photovoltaic reactive voltage control strategy; improving the control strategy in S2 to obtain an event-triggered distributed reactive voltage control strategy involving distributed energy storage; and testing the effectiveness of the distributed photovoltaic reactive voltage control strategy. This voltage control method utilizes a reactive power control scheme. While this scheme can maintain system stability without reducing the photovoltaic power absorption capacity, it requires repeated iterations. A reactive power regulation algorithm alone may not achieve final convergence, resulting in an infinite loop. Even if convergence is achieved, the reactive power regulation cost may be excessively high, increasing the overall control cost.

[0037] In some examples, the voltage control method also includes calculating the voltage-reactive power sensitivity matrix for each phase of a three-phase unbalanced distribution network; using the voltage-reactive power sensitivity matrix and the correlation coefficients between nodes and clusters, demarcating the distribution network using a fast incremental clustering algorithm to allocate voltage control regions; partitioning the distribution network according to the divided voltage control regions, detecting voltage-exceeding nodes within the regions, and constructing a priority list based on sensitivity correlation levels, sequentially invoking reactive power compensation resources for voltage correction. This voltage control method utilizes a system-level control scheme that indirectly increases costs by invoking additional reactive power resources to correct the system. Three-phase imbalance is less likely to occur in distribution networks, and the primary source of voltage fluctuations in distribution networks is variability in power flow. Furthermore, clustering computation consumes significant resources, requiring a large number of samples for initial training, and thus has limited practical applicability.

[0038] In some examples, the voltage control method further includes: calculating the electrical distance between the first nodes to establish an electrical relationship matrix, then performing node clustering to obtain a second node; performing reactive power optimization on the second node using a sparrow search algorithm to screen out a third node, and determining whether the voltage of the third node exceeds a limit. If not, the process ends; if so, performing active power optimization on the third node to screen out a fourth node, and controlling the target distribution network based on the active and reactive power of the fourth node. This voltage control method uses the sparrow algorithm, requiring four node screening and analysis, resulting in high computational complexity. While the simultaneous active and reactive power regulation scheme offers high regulation efficiency, it does not fully consider the high cost of active power regulation, and reactive power regulation should be used whenever possible to reduce control costs.

[0039] Based on this, the present application proposes a control method that can achieve real-time voltage control of a high-proportion distributed power supply cluster at the edge of the distribution network, so that the distribution network can operate safely and efficiently.

[0040] Figure 1 This is a flow chart of a distribution network voltage control method according to an embodiment of the present application.

[0041] As an example, Figure 1 As shown, the distribution network voltage control method includes: S101: Receive first parameter information of a voltage control node and second parameter information of a distributed power supply node in a power distribution network.

[0042] S102 : Determine a power sensitivity parameter and a voltage offset of the voltage control node based on the first parameter information and a voltage measurement value of the voltage control node.

[0043] S103 : Determine a current dual variable value based on the voltage offset, the dual variable value of the previous control cycle, and the first parameter information.

[0044] S104 : Obtain a target offset for the current control cycle based on the power measurement value of the distributed power generation node, the second parameter information, the power sensitivity parameter, and the current dual variable value.

[0045] S105 , obtaining a target output setting value of the distributed power supply node based on the target offset of the current control cycle, and performing voltage control based on the target output setting value.

[0046] For example, in a distribution network, a cluster edge computing controller can control and manage voltage control nodes, and a distributed power supply local controller can control and manage distributed power supply nodes. Of course, the cluster edge computing controller and the distributed power supply local controller interact with each other. The first parameter information of the voltage control node, such as the voltage control range of each voltage control node and other related information, and the second parameter information of the distributed power supply node, such as the offset correction coefficient and other related information, can be configured in advance by the operator, or can be obtained according to a preset configuration method during the voltage control process.

[0047] For example, the cluster edge computing controller can determine a power sensitivity parameter and a voltage offset for the voltage control node based on first parameter information and the voltage measurement value of the voltage control node. The voltage measurement value of the voltage control node can be obtained via an acquisition circuit, and the power sensitivity parameter can be calculated using a preset algorithm. The voltage offset for the voltage control node can be the offset between the voltage measurement value of the voltage control node and the upper and lower voltage limits in the first parameter information. This application proposes a dual variable value that determines a target offset for each control cycle based on a primal dual decomposition. First, the current dual variable value is determined based on the voltage offset, the dual variable value of the previous control cycle, and the first parameter information. Then, the target offset for the current control cycle is determined based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter, and the current dual variable value. The power measurement value of the distributed power supply node can be acquired via the acquisition circuit. Finally, based on the target offset for the current control cycle, the target output set value for the distributed power supply node is determined, and voltage control is performed based on the target output set value. It can be understood that the target output set value for the distributed power supply node is the power value required to be output by the distributed power supply node. Voltage control based on the target output set value can quickly respond to voltage fluctuations and has high regulation efficiency.

[0048] It should be noted that the control cycle duration can be configured in advance. Each control cycle executes the process from steps S102 to S105 once. The shorter the control cycle, the faster the response speed. Of course, too short a control cycle requires more system memory resources. The control cycle can be determined from the perspective of comprehensive response speed and resource consumption.

[0049] The distributed power cluster voltage control method based on primal-dual decomposition proposed in this application improves the response speed of voltage regulation, achieves higher control accuracy, and ensures the stable operation of the distribution network.

[0050] The following is a detailed description of the distributed power cluster voltage control method based on primal-dual decomposition.

[0051] As an example, the first parameter information includes the voltage control range, the initial value of the dual variable, the step size of the dual variable change, and the first regularization parameter. The second parameter information includes multiple offset correction coefficients and the second regularization parameter. The offset correction coefficients can be 4. For example, for a cluster edge computing controller, the voltage control range of each voltage control node is input. , initial value of the dual variable related to the voltage lower limit , initial value of the dual variable related to the voltage upper limit , the step size of the dual variable change , the first regularization parameter For the distributed generation local controller, enter the second regularization parameter , adaptive coefficients for reactive power and active power offset For the convenience of explanation, the voltage measurement nodes in this application are numbered as , the node number of the distributed power supply is , the current time is , the control interval is .

[0052] As an example, the power sensitivity parameter may include linearized sensitivity parameters of active power and reactive power, and the sensitivity parameter may also be in matrix form. is the linearized sensitivity parameter matrix of active power, is the linearized sensitivity parameter matrix of reactive power.

[0053] The cluster edge computing controller calculates the linearized sensitivity parameter matrix of each node voltage with respect to the active power and reactive power injected into each node and , and and Transmitted to each distributed power source local controller, the specific calculation method is: The parameter matrix can be calculated using the following formula using a power flow linearization method such as the LinDistFlow linearization method: and :

[0054] in, Indicates the total number of nodes, Elements in Indicates the injection node The active power injection about the node The voltage sensitivity, Elements in Indicates the injection node The reactive power injection about the node The voltage sensitivity, represents the active power vector injected by each node, represents the reactive power vector injected by each node, represents the voltage vector of each node in the system, Represents the voltage reference value vector of each node in the system; in, and The solution is as follows:

[0055]

[0056] in, Voltage measurement node Nodes where distributed power sources are located The set of branches between Indicates the total number of nodes, Indicates the branch number. For branch The resistance, For branch The reactance, For branch At the voltage measurement node Nodes where distributed power sources are located The branch-node correlation coefficient between The solution is as follows:

[0057] As an example, the voltage control range in the first parameter information can be expressed as , Time Node The voltage measurement value can be expressed as The voltage offset of the voltage control node may include the offset between the voltage measurement value and the voltage upper limit. The offset between the voltage measurement value and the voltage lower limit Calculated by the cluster edge computing controller Time Node The offset between the voltage measurement value and the voltage upper and lower limits and , the specific calculation method is:

[0058]

[0059] in, Indicates the node number of the voltage measurement point, Indicates the current moment, express Time Node The voltage measurement value modulus, Indicates the minimum value in the voltage control range, Indicates the maximum value in the voltage control range.

[0060] After obtaining the power sensitivity parameter and the voltage offset of the voltage control node, the current dual variable value is determined based on the voltage offset, the dual variable value of the previous control cycle and the first parameter information.

[0061] As an example, the first parameter information includes the dual variable change step size and the first regularization parameter The voltage offset includes the offset of the voltage upper limit and the offset of the voltage lower limit. The current dual variable value includes the dual variable value related to the voltage upper limit. and the dual variable value associated with the lower voltage limit , the current dual variable value is determined by the following formula:

[0062]

[0063] in, is the dual variable value related to the voltage lower limit of node n at time t, is the dual variable value related to the voltage upper limit at node n at time t, n is the node number of the voltage measurement point, t is the current time, tT is the previous control cycle, is the dual variable value related to the voltage lower limit of node n in the previous control cycle, is the dual variable value related to the voltage upper limit of node n in the previous control cycle, is the offset of the voltage upper limit of node n at time t, is the offset of the voltage lower limit of node n at time t, is the step size of the dual variable change, is the first regularization parameter. The dual variable change step size and the first regularization parameter is a known quantity.

[0064] It should be noted that the cluster edge computing controller calculates the Time Node Current dual variable values ​​related to the upper and lower voltage limits 、 The cluster edge computing controller and the distributed power local controller need to communicate at least in each control cycle. It can be understood that the new current dual variable value is calculated in each control cycle and sent to each distributed power local controller. The cluster edge computing controller also calculates the linearized sensitivity parameter matrix of active power and reactive power. and , transmitted to each distributed power source local controller.

[0065] As an example, Figure 2 As shown, based on the power measurement value of the distributed power generation node, the second parameter information, the power sensitivity parameter and the current dual variable value, the target offset of the current control cycle is obtained, including: S201 : Determine an initial offset based on a power measurement value of a distributed power generation node, second parameter information, a power sensitivity parameter, and a current dual variable value.

[0066] S202 : Correct the initial offset based on the target offset of the previous control cycle and the second parameter information to obtain the target offset of the current control cycle.

[0067] Exemplarily, the power measurement value of the distributed power supply node can be collected and calculated using an acquisition circuit or other method, the second parameter information is obtained by pre-configuration, and the power sensitivity parameter and the current dual variable value are obtained using the above-mentioned calculation method. Each distributed power supply local controller can determine an initial offset based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter, and the current dual variable value. The initial offset is then corrected based on the target offset of the previous control cycle and the second parameter information to obtain the target offset of the current control cycle. It can be understood that the target offset is the target offset for the active power and reactive power of the distributed power supply node.

[0068] The regulation method of the present application adopts a scheme of combining active and reactive power regulation, which makes the regulation efficiency higher.

[0069] As an example, Figure 3 As shown, the initial offset is determined based on the power measurement value of the distributed power generation node, the second parameter information, the power sensitivity parameter and the current dual variable value, including: S301 : Determine at least one of a first offset of a gradient descent portion of an objective function and a second offset of a regularization portion based on a power measurement value of a distributed power supply node and second parameter information.

[0070] S302 : Determine a third offset of the voltage constraint part based on the power sensitivity parameter and the current dual variable value.

[0071] S303: Determine an initial offset based on at least one of the first offset, the second offset, and the third offset.

[0072] Exemplarily, the present application considers the power offset from multiple aspects, for example, at least one of the objective function gradient descent aspect, regularization aspect, and voltage constraint aspect. The offset of the objective function gradient descent part is determined as the first offset, the offset of the regularization part is determined as the second offset, and the offset of the voltage constraint part is determined as the third offset. The initial offset is determined based on at least one of the first offset, the second offset, and the third offset, for example, the first offset is determined as the initial offset, or the second offset is determined as the initial offset, or the third offset is determined as the initial offset. The sum of any two of them can also be determined as the initial offset, for example, the sum of the first offset and the second offset is used as the initial offset, or the sum of the first offset and the third offset is used as the initial offset, or the sum of the second offset and the third offset is used as the initial offset. The initial offset can also be determined based on these three.

[0073] The specific calculation method of the first offset, the second offset and the third offset is described in detail below.

[0074] As an example, the first offset of the gradient descent portion of the objective function is determined by the following formula:

[0075]

[0076] in, Indicates the distributed power supply number and , is the set of node numbers where distributed power sources are located, Indicates the current moment, For The measured active power value of power node i at time instant, For The reactive power measurement value of power node i at the moment, For the current moment The maximum active power output that the distributed power source at node i can provide is: is the objective function, which includes the current moment The operating cost of each distributed power source in the cluster is .

[0077] For example, each distributed power source local controller collects Time Node The measured value of the actual active power of the distributed power source and reactive power measurements , the objective function includes the current moment The operating cost of each distributed power source in the cluster, the objective function can be set as ,in, represents the offset of the gradient descent part of the objective function associated with active power, Represents the offset of the gradient descent portion of the objective function associated with reactive power.

[0078] The voltage control method of the present application weighs various cost factors, not only achieving precise voltage control, but also comprehensively considering the scheduling costs of active and reactive power during the optimization process. Through this comprehensive optimization strategy, the present method not only effectively controls the system voltage, but also reduces the overall scheduling cost.

[0079] As an example, the second parameter information includes a second regularization parameter, and the second offset of the regularization part is determined by the following formula:

[0080]

[0081] in, Represents the regularization part, here is , is the second regularization parameter, For The measured active power value of power node i at time instant, For The reactive power measurement value of power node i at time instant. represents the offset of the regularization part associated with the active power, Indicates the offset of the regularization component associated with the reactive power.

[0082] The voltage control method of the present application fully considers the combined effect of active and reactive power on node voltage during the optimization process, and ensures that the power system can maintain a stable voltage level under various operating conditions through comprehensive analysis and adjustment of the two.

[0083] As an example, the third offset of the voltage constraint portion is determined by the following formula:

[0084]

[0085] in, Injection node The third offset of the active power related voltage constraint part, Injection node The third offset of the reactive power related voltage constraint part, Indicates the number of the voltage measurement node and , is the set of voltage measurement node numbers, Indicates the injection node The active power injection about the node The voltage sensitivity, Indicates the injection node The reactive power injection about the node The voltage sensitivity, for Time Node The value of the dual variable related to the lower voltage limit, for Time Node The value of the dual variable associated with the upper voltage limit.

[0086] For example, each distributed power local controller obtains the linearized parameter matrix calculated by the cluster edge computing controller through the above steps and ,as well as Time Node Updated values ​​of dual variables related to voltage upper and lower limits 、 The third offset of the voltage constraint part is calculated based on the above formula.

[0087] As an example, determining the initial offset based on at least one of the first offset, the second offset, and the third offset includes: summing the first offset, the second offset, and the third offset to obtain the initial offset.

[0088] The present application can comprehensively consider the power offset in three aspects: the objective function gradient descent, the regularization aspect, and the voltage constraint aspect, and use the sum of the first offset, the second offset, and the third offset as the initial offset. Of course, it is not limited to these three aspects of power offset, and other aspects of power offset can also be considered. Of course, the summing method is not limited to the above-mentioned method, and a weighted summing method can also be used. For example, if experimental data shows that the objective function gradient descent has a greater impact on the power offset, then the first offset of the objective function gradient descent part can be determined to have a greater weight.

[0089] Exemplarily, the offsets of each part calculated above may be added together to obtain the initial offset.

[0090] The calculation of the initial offset is as follows:

[0091]

[0092] in, For the current moment At the node The initial offset of the active power output of the distributed generation. For the current moment At the node The initial offset of the reactive power output of the distributed generation, Indicates the injection node The active power of the node The voltage sensitivity, Indicates the injection node The reactive power of the node The voltage sensitivity, and is the updated value of the dual variable related to the voltage upper and lower limits of node n at time t, is the second regularization parameter.

[0093] Then, the initial offset is corrected based on the target offset of the previous control cycle and the second parameter information to obtain the target offset of the current control cycle.

[0094] As an example, the target offset of the previous control cycle includes the target offset of the active power output of the previous control cycle and the target offset of the reactive power output of the previous control cycle, the initial offset includes the initial offset of the active power output and the initial offset of the reactive power output, the second parameter information includes multiple offset correction coefficients, the target offset of the current control cycle includes the target offset of the active power output of the current control cycle and the target offset of the reactive power output of the current control cycle, and the initial offset is corrected based on the target offset of the previous control cycle and the second parameter information to obtain the target offset of the current control cycle, including: When the product of the target offset of the active power output in the previous control cycle and the initial offset of the active power output is greater than a preset threshold, determining the target offset of the active power output in the current control cycle to be the product of the initial offset of the active power output and the first offset correction coefficient; When the product of the target offset of the active power output in the previous control cycle and the initial offset of the active power output is less than a preset threshold, determining the target offset of the active power output in the current control cycle as the product of the initial offset of the active power output and the second offset correction coefficient; When the product of the target offset of the reactive power output in the previous control cycle and the initial offset of the reactive power output is greater than a preset threshold, determining the target offset of the reactive power output in the current control cycle to be the product of the initial offset of the reactive power output and the third offset correction coefficient; When the product of the target offset of the reactive power output in the previous control cycle and the initial offset of the reactive power output is less than a preset threshold, determining the target offset of the reactive power output in the current control cycle to be the product of the initial offset of the reactive power output and the fourth offset correction coefficient; The first offset correction coefficient and the third offset correction coefficient are greater than 1, and the second offset correction coefficient and the fourth offset correction coefficient are greater than 0 and less than 1.

[0095] For example, the target offset of the active power output in the previous control cycle is , the target offset of reactive power output in the previous control cycle is , the first offset correction coefficient is The second offset correction coefficient is The third offset correction factor is The fourth offset correction coefficient is . The initial offset is compared with the offset of the last control process ( 、 ) and make corrections to obtain the target offset. The preset threshold can be 0.

[0096] The specific process is: If the product of the target offset of the active power output in the previous control cycle and the initial offset of the active power output is greater than the preset threshold, that is, , then the target offset of the active power output in the current control period is determined to be the product of the initial offset of the active power output and the first offset correction coefficient, that is, ; If the product of the target offset of the active power output in the previous control cycle and the initial offset of the active power output is less than the preset threshold, that is, , then the target offset of the active power output in the current control cycle is determined to be the product of the initial offset of the active power output and the second offset correction coefficient, that is, ; If the product of the target offset of reactive power output in the previous control cycle and the initial offset of reactive power output is greater than the preset threshold, that is, , then the target offset of the reactive power output in the current control cycle is determined to be the product of the initial offset of the reactive power output and the third offset correction coefficient, that is, ; If the product of the target offset of reactive power output in the previous control cycle and the initial offset of reactive power output is less than the preset threshold, that is, , then the target offset of the reactive power output in the current control cycle is determined to be the product of the initial offset of the reactive power output and the fourth offset correction coefficient, that is, ; in, and is the initial offset of the active power output and reactive power output of the distributed generation at node i at the current time t, and for Always at the node The final offset of the active power output and reactive power output of the distributed power source, is the offset correction coefficient, , , which can be formulated based on actual conditions and experience.

[0097] As an example, based on the target offset of the current control cycle, the target output setting value of the distributed power supply node is obtained, including: based on the target offset of the current control cycle, the target output setting value of the distributed power supply node in the previous control cycle is corrected to obtain the target output setting value of the distributed power supply node in the current control cycle.

[0098] For example, the target output setting value of the distributed power supply node in the previous control cycle can be recorded as and , according to the target offset of the current control cycle and right and Correction is performed to obtain the target output setting value of the distributed power generation node in the current control cycle.

[0099] As an example, the target output setting value includes a target output setting value of active power output and a target output setting value of reactive power output. The target output setting value of the distributed power supply node in the previous control cycle is corrected based on the target offset of the current control cycle to obtain the target output setting value of the distributed power supply node in the current control cycle, including: Determine the sum of the target offset of the active power output of the current control cycle and the target output setting value of the active power output of the previous control cycle as the target output setting value of the active power output of the current control cycle; The sum of the target offset of the reactive power output in the current control cycle and the target output setting value of the reactive power output in the previous control cycle is determined as the target output setting value of the reactive power output in the current control cycle.

[0100] For example, the target output setting value of the active power output in the current control cycle is The target output setting value of reactive power output in the current control cycle is The specific calculation method is shown in the following formula:

[0101]

[0102] in, and For the current moment At the node The target offset of the active power output and reactive power output of the distributed power generation, and For the current moment At the node The target output setting values ​​of the active power output and reactive power of the distributed power supply are and for Always at the node The target output setting values ​​of the active power output and reactive power of the distributed power supply.

[0103] Based on the target output setting value of the current control cycle and Control the voltage of distributed power nodes. At this moment, the above steps S102 to S105 are repeated to continue voltage control.

[0104] Figure 4 This is a general flow chart of a voltage control method according to an embodiment of the present application. Figure 4 As shown, 1) For the cluster edge computing controller, enter the voltage control range of each voltage control node , initial value of the dual variable related to the voltage lower limit , initial value of the dual variable related to the voltage upper limit , the step size of the dual variable change , the regularization parameter ; For the distributed generation local controller, input the regularization parameter , adaptive coefficients for reactive power and active power offset ; The number of the voltage measurement node is , the node number of the distributed power supply is , the current time is , the control interval is .

[0105] 2) The cluster edge computing controller calculates the linearized sensitivity parameter matrix of each node voltage with respect to the active power and reactive power injected into each node and , and and Transmitted to each distributed power source local controller.

[0106] 3) Enter the parameters of the cluster edge computing controller according to step 1) and 、 Time Node Voltage measurement value , calculated by the cluster edge computing controller Time Node The offset value between the voltage measurement value and the voltage upper and lower limits and .

[0107] 4) Based on the offset value calculated in step 3) and , combined with Time Node Dual variable values ​​related to the upper and lower voltage limits and , dual variable change step , regularization parameter , calculated by the cluster edge computing controller Time Node Updated values ​​of dual variables related to voltage upper and lower limits 、 .

[0108] 5) Update the value calculated in step 4) 、 Sent to each distributed power source local controller.

[0109] 6) Each distributed power source local controller collects Time Node The measured values ​​of actual active power and reactive power of distributed power sources and , combined with the regularization parameter , calculate the offset of the gradient descent part of the objective function and the offset of the regularization part.

[0110] 7) According to the linearized sensitivity parameter matrix obtained in step 2) and ,as well as Time Node Updated values ​​of dual variables related to voltage upper and lower limits 、 , the voltage constraint offset is calculated by the local controller of each distributed generation and .

[0111] 8) Add the offsets obtained in steps 6) and 7) to obtain the initial offset of the current control process for each distributed power local controller, and compare it with the offset of the previous control process. According to the comparison result, the offset is corrected to obtain the target offset. and .

[0112] 9) Based on the final offset obtained in step 8), each distributed power local controller corrects the set value of the distributed power output to obtain the final target output set value and , the output of distributed power sources is controlled according to the final target output setting value. At this time, the output of each distributed power source changes, and the power flow distribution also changes.

[0113] 10) Time advances to At this moment, repeat steps 3) to 9) to continue voltage control.

[0114] The present invention proposes a distributed power cluster voltage control method based on primal-dual decomposition, which fully saves computing resources, realizes real-time power distribution of distribution network clusters, and supports rapid regulation of cluster voltage under limited measurement drive.

[0115] The effectiveness of the distributed power cluster voltage control method based on primal-dual decomposition proposed in this application was also verified.

[0116] For example, the verification method may adopt the IEEE 33 standard distribution network, which includes 33 nodes and the topological connection is as follows: Figure 5 As shown, 23 groups of PV systems are connected to nodes 4, 5, 7, 8, 9, 11, 12, 13, 15, 16, 17, 18, 20, 21, 22, 24, 25, 27, 28, 29, 31, 32 and 33 respectively, and their capacities are 200kWp, 200kWp, 200kWp, 200kWp, 200kWp, 350kWp, 300kWp, 350kWp, 300kWp, 300kWp, 250kWp, 300kWp, 300kWp, 250kWp, 350kWp, 350kWp, 300kWp, 300kWp, 300kWp, 350kWp, 200kWp, 200kWp and 250kWp respectively. The 10 voltage measurement points are nodes 2, 3, 6, 10, 14, 18, 22, 25, 30 and 33. The source-load fluctuation curve is as follows: Figure 7 As shown in the figure, the system voltage is 12.66kV and the reference power is 1MV. The voltage reference value of the distribution network is set to 1.0pu. The change step size is , regularization coefficient 、 , correction factor A real-time voltage control method based on primal-dual decomposition is used for distributed power generation clusters in distribution networks. The distributed power generation output strategy can be obtained through the above steps. To verify the effectiveness of this method, the following two control scenarios are used for comparison in the distribution system: Option 1: Do not reduce the output of distributed generation.

[0117] Solution 2: A distributed power cluster voltage control method based on primal-dual decomposition is used to achieve voltage control.

[0118] The computer hardware environment for performing the optimization calculation may be an Intel(R) Core(TM) i7-13700 CPU with a main frequency of 2.10 GHz and a memory of 16.0 GB, and the software environment may be a Windows 11 operating system.

[0119] The example topology used in the embodiment of this application is as follows Figure 5 As shown in the figure, the device and measurement deployment in the cluster is as follows Figure 6 As shown in the figure, the predicted curve of distributed power output and load fluctuation changes as shown in the figure. Figure 7 shown.

[0120] Figure 8 This is the active power output of distributed power sources at nodes 8, 9, and 11 under the method of Scheme 2.

[0121] Figure 9 This is the reactive power output of distributed power sources at nodes 8, 9, and 11 under the method of Scheme 2.

[0122] Combine Figures 7 to 9 It can be seen that with the changes in the photovoltaic curve and the load curve, the voltage at the voltage measurement point in Scheme 1 will obviously exceed the limit, while Scheme 2 can limit the voltage to near the voltage reference value. It can be seen that Scheme 2 does have significant advantages in maintaining the stability of the distribution system voltage level, providing a strong guarantee for the safe and reliable operation of the power system.

[0123] The present application also proposes a distribution network voltage control device.

[0124] As an example, Figure 10As shown, the distribution network voltage control device includes: a receiving module 1001, which is used to receive first parameter information of a voltage control node and second parameter information of a distributed power source node in the distribution network; a first determining module 1002, which is used to determine a power sensitivity parameter and a voltage offset of the voltage control node based on the first parameter information and the voltage measurement value of the voltage control node; a second determining module 1003, which is used to determine a current dual variable value based on the voltage offset, the dual variable value of the previous control cycle and the first parameter information; a third determining module 1004, which is used to obtain a target offset of the current control cycle based on the power measurement value of the distributed power source node, the second parameter information, the power sensitivity parameter and the current dual variable value; and a fourth determining module 1005, which is used to obtain a target output setting value of the distributed power source node based on the target offset of the current control cycle, and perform voltage control based on the target output setting value.

[0125] As an example, the first parameter information includes a dual variable change step size and a first regularization parameter, the voltage offset includes an offset of a voltage upper limit and an offset of a voltage lower limit, the current dual variable value includes a dual variable value related to the voltage upper limit and a dual variable value related to the voltage lower limit, and the second determination module 1003 determines the current dual variable value using the following formula:

[0126]

[0127] in, is the dual variable value related to the voltage lower limit of node n at time t, is the dual variable value related to the voltage upper limit at node n at time t, n is the node number of the voltage measurement point, t is the current time, tT is the previous control cycle, is the dual variable value related to the voltage lower limit of node n in the previous control cycle, is the dual variable value related to the voltage upper limit of node n in the previous control cycle, is the offset of the voltage upper limit of node n at time t, is the offset of the voltage lower limit of node n at time t, is the step size of the dual variable change, is the first regularization parameter.

[0128] As an example, the third determination module 1004 is also used to: determine the initial offset based on the power measurement value, second parameter information, power sensitivity parameter and current dual variable value of the distributed power supply node; correct the initial offset based on the target offset of the previous control cycle and the second parameter information to obtain the target offset of the current control cycle.

[0129] As an example, the third determination module 1004 is also used to: determine at least one of the first offset of the gradient descent part of the objective function and the second offset of the regularization part based on the power measurement value and the second parameter information of the distributed power supply node; determine the third offset of the voltage constraint part based on the power sensitivity parameter and the current dual variable value; determine the initial offset based on at least one of the first offset, the second offset and the third offset.

[0130] The present application also proposes a computer-readable storage medium.

[0131] In this embodiment, a computer program is stored on a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned distribution network voltage control method are implemented.

[0132] Figure 11 A block diagram of an electronic device provided in accordance with an embodiment of the present application.

[0133] An embodiment of the present application provides an electronic device including a memory and a processor, wherein the memory stores a computer program, and the processor implements the above-mentioned distribution network voltage control method when executing the computer program.

[0134] like Figure 11 As shown, for ease of understanding, the embodiment of the present application shows a specific electronic device.

[0135] Electronic device is intended to refer to various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic device may also refer to various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are intended to be examples only and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0136] like Figure 11 As shown, the device includes a computing unit 1101, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 1102 or a computer program loaded from a storage unit 1108 into a random access memory (RAM) 1103. RAM 1103 may also store various programs and data required for the operation of the electronic device. Computing unit 1101, ROM 1102, and RAM 1103 are interconnected via a bus 1104. An input / output (I / O) interface 1105 is also connected to bus 1104.

[0137] Multiple components in the electronic device are connected to the I / O interface 1105, including an input unit 1106, such as a keyboard and mouse; an output unit 1107, such as various types of displays and speakers; a storage unit 1108, such as a magnetic disk and optical disk; and a communication unit 1109, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 1109 allows the electronic device to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0138] The computing unit 1101 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the computing unit 1101 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 1101 executes the various methods described above, such as the distribution network voltage control method. For example, in some embodiments, the distribution network voltage control method can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 1108. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device via the ROM 1102 and / or the communication unit 1109. When the computer program is loaded into the RAM 1103 and executed by the computing unit 1101, the distribution network voltage control method described above can be executed. Alternatively, in other embodiments, the computing unit 1101 can be configured to execute the distribution network voltage control method via any other suitable means (e.g., via firmware).

[0139] It should be noted that the logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this application, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing it in a suitable manner if necessary, and then storing it in a computer memory.

[0140] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having logic gate circuits for implementing logic functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0141] In the description of this application, reference to the terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of this application. In this application, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples.

[0142] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0143] In addition, the terms "first" and "second" used in the embodiments of the present application are for descriptive purposes only and should not be understood as indicating or implying relative importance, or implicitly indicating the number of technical features indicated in the embodiments. Therefore, the features defined in the embodiments of the present application by terms such as "first" and "second" can explicitly or implicitly indicate that at least one of the features is included in the embodiment. In the description of the present application, the word "multiple" means at least two or two or more, such as two, three, four, etc., unless otherwise clearly and specifically defined in the embodiments.

[0144] In this application, unless otherwise specified or limited in the embodiments, the terms "installed", "connected", "connected", and "fixed" appearing in the embodiments should be understood in a broad sense. For example, the connection can be a fixed connection, a detachable connection, or an integral connection. It can also be a mechanical connection, an electrical connection, etc.; of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication between two elements, or the interaction between two elements. For those skilled in the art, the specific meanings of the above terms in this application can be understood based on the specific implementation.

[0145] In this application, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Furthermore, when a first feature is "above," "above," or "above" a second feature, it may mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is "below," "below," or "below" a second feature, it may mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is at a lower level than the second feature.

[0146] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A distribution network voltage control method, characterized in that: The method comprises: Receiving first parameter information of a voltage control node and second parameter information of a distributed power supply node in a distribution network; determining a power sensitivity parameter and a voltage offset of the voltage control node based on the first parameter information and a voltage measurement value of the voltage control node; Determining a current dual variable value based on the voltage offset, the dual variable value of the previous control cycle, and the first parameter information; Obtaining a target offset for a current control cycle based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter, and the current dual variable value; Based on the target offset of the current control cycle, a target output setting value of the distributed power supply node is obtained, and voltage control is performed based on the target output setting value.

2. The method according to claim 1, characterized in that The first parameter information includes a dual variable change step size and a first regularization parameter. The voltage offset includes an offset of an upper voltage limit and an offset of a lower voltage limit. The current dual variable value includes a dual variable value related to the upper voltage limit and a dual variable value related to the lower voltage limit. The current dual variable value is determined by the following formula: in, is the dual variable value related to the voltage lower limit of node n at time t, is the dual variable value related to the voltage upper limit at node n at time t, n is the node number of the voltage measurement point, t is the current time, tT is the previous control cycle, is the dual variable value related to the voltage lower limit of node n in the previous control cycle, is the dual variable value related to the voltage upper limit of node n in the previous control cycle, is the offset of the voltage upper limit of node n at time t, is the offset of the voltage lower limit of node n at time t, is the step size of the dual variable change, is the first regularization parameter.

3. The method according to claim 1, characterized in that The obtaining, based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter, and the current dual variable value, a target offset of the current control cycle includes: Determining an initial offset based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter and the current dual variable value; The initial offset is corrected based on the target offset of the previous control cycle and the second parameter information to obtain the target offset of the current control cycle.

4. The method according to claim 3, characterized in that The determining of the initial offset based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter, and the current dual variable value includes: Determining at least one of a first offset of a gradient descent portion of an objective function and a second offset of a regularization portion based on the power measurement value of the distributed power generation node and the second parameter information; determining a third offset of a voltage constraint portion based on the power sensitivity parameter and the current dual variable value; An initial offset is determined based on at least one of the first offset, the second offset, and the third offset.

5. The method according to claim 4, characterized in that The first offset of the gradient descent portion of the objective function is determined by the following formula: in, Indicates the distributed power supply number and , is the set of node numbers where distributed power sources are located, Indicates the current moment, For The measured active power value of power node i at time instant, For The reactive power measurement value of power node i at the moment, For the current moment The maximum active power output that the distributed power source at node i can provide is: is the objective function, which includes the current moment The operating cost of each distributed power source in the cluster is .

6. The method according to claim 4, characterized in that The second parameter information includes a second regularization parameter, and the second offset of the regularization part is determined by the following formula: in, Represents the regularization part, here is , is the second regularization parameter, For The measured active power value of power node i at time instant, For The reactive power measurement value of power node i at time instant.

7. The method according to claim 4, characterized in that The third offset of the voltage constraint section is determined by the following formula: in, Injection node The third offset of the active power related voltage constraint part, Injection node The third offset of the reactive power related voltage constraint part, Indicates the number of the voltage measurement node and , is the set of voltage measurement node numbers, Indicates the injection node The active power injection about the node The voltage sensitivity, Indicates the injection node The reactive power injection about the node The voltage sensitivity, for Time Node The value of the dual variable related to the lower voltage limit, for Time Node The value of the dual variable associated with the upper voltage limit.

8. The method according to claim 4, characterized in that The determining an initial offset based on at least one of the first offset, the second offset, and the third offset comprises: The first offset, the second offset, and the third offset are added together to obtain an initial offset.

9. The method according to claim 3, characterized in that The target offset of the previous control cycle includes the target offset of the active power output of the previous control cycle and the target offset of the reactive power output of the previous control cycle, the initial offset includes the initial offset of the active power output and the initial offset of the reactive power output, the second parameter information includes a plurality of offset correction coefficients, the target offset of the current control cycle includes the target offset of the active power output of the current control cycle and the target offset of the reactive power output of the current control cycle, and the initial offset is corrected based on the target offset of the previous control cycle and the second parameter information to obtain the target offset of the current control cycle, including: When the product of the target offset of the active power output in the previous control cycle and the initial offset of the active power output is greater than a preset threshold, determining the target offset of the active power output in the current control cycle as the product of the initial offset of the active power output and the first offset correction coefficient; When the product of the target offset of the active power output in the previous control cycle and the initial offset of the active power output is less than a preset threshold, determining the target offset of the active power output in the current control cycle as the product of the initial offset of the active power output and a second offset correction coefficient; When the product of the target offset of the reactive power output in the previous control cycle and the initial offset of the reactive power output is greater than a preset threshold, determining the target offset of the reactive power output in the current control cycle to be the product of the initial offset of the reactive power output and a third offset correction coefficient; When the product of the target offset of the reactive power output in the previous control cycle and the initial offset of the reactive power output is less than a preset threshold, determining the target offset of the reactive power output in the current control cycle to be the product of the initial offset of the reactive power output and a fourth offset correction coefficient; The first offset correction coefficient and the third offset correction coefficient are greater than 1, and the second offset correction coefficient and the fourth offset correction coefficient are greater than 0 and less than 1.

10. The method according to claim 1, characterized in that The obtaining of the target output setting value of the distributed power supply node based on the target offset of the current control cycle includes: The target output setting value of the distributed power source node in the previous control cycle is corrected based on the target offset of the current control cycle to obtain the target output setting value of the distributed power source node in the current control cycle.

11. The method according to claim 10, characterized in that The target output setting value includes a target output setting value of active power output and a target output setting value of reactive power output. The target output setting value of the distributed power source node in the previous control cycle is corrected based on the target offset of the current control cycle to obtain the target output setting value of the distributed power source node in the current control cycle, including: Determining the sum of the target offset of the active power output of the current control cycle and the target output setting value of the active power output of the previous control cycle as the target output setting value of the active power output of the current control cycle; The sum of the target offset of the reactive power output in the current control cycle and the target output setting value of the reactive power output in the previous control cycle is determined as the target output setting value of the reactive power output in the current control cycle.

12. A distribution network voltage control device, characterized in that: The device comprises: A receiving module, configured to receive first parameter information of a voltage control node and second parameter information of a distributed power supply node in a distribution network; a first determining module, configured to determine a power sensitivity parameter and a voltage offset of the voltage control node based on the first parameter information and a voltage measurement value of the voltage control node; a second determining module, configured to determine a current dual variable value based on the voltage offset, the dual variable value of the previous control cycle, and the first parameter information; a third determining module, configured to obtain a target offset of a current control cycle based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter, and the current dual variable value; The fourth determining module is configured to obtain a target output setting value of the distributed power supply node based on the target offset of the current control cycle, and perform voltage control based on the target output setting value.

13. The device according to claim 12, characterized in that The first parameter information includes a dual variable change step size and a first regularization parameter, the voltage offset includes an offset of a voltage upper limit and an offset of a voltage lower limit, the current dual variable value includes a dual variable value related to the voltage upper limit and a dual variable value related to the voltage lower limit, and the second determination module determines the current dual variable value using the following formula: in, for Time Node The value of the dual variable related to the lower voltage limit, for Time Node The value of the dual variable related to the upper voltage limit, is the node number of the voltage measurement point, For the current moment, is the previous control cycle, The node of the previous control cycle The value of the dual variable related to the lower voltage limit, The node of the previous control cycle The value of the dual variable related to the upper voltage limit, for Time Node The offset of the voltage upper limit, for Time Node The offset of the lower voltage limit, is the step size of the dual variable change, is the first regularization parameter.

14. The device according to claim 12, characterized in that The third determining module is further configured to: Determining an initial offset based on the power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter and the current dual variable value; The initial offset is corrected based on the target offset of the previous control cycle and the second parameter information to obtain the target offset of the current control cycle.

15. The device according to claim 12, characterized in that The third determining module is further configured to: Determining at least one of a first offset of a gradient descent portion of an objective function and a second offset of a regularization portion based on the power measurement value of the distributed power generation node and the second parameter information; determining a third offset of a voltage constraint portion based on the power sensitivity parameter and the current dual variable value; An initial offset is determined based on at least one of the first offset, the second offset, and the third offset.

16. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the method according to any one of claims 1 to 11 are implemented.

17. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 11 are implemented.

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