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

Abstract

The application discloses a power distribution network voltage control method and device, electronic equipment and storage medium, and relates to the technical field of power grid operation. The method comprises the following 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 a voltage measurement value; determining a current dual variable value based on the voltage offset, a dual variable value of a previous control period and the first parameter information; obtaining a target offset of a current control period based on a 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 setting 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 setting value. In the face of rapid voltage change, voltage regulation can be more quickly and accurately realized, and stable operation of the power distribution network is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power grid operation, and particularly relates to a power distribution network voltage control method and device, electronic equipment and a storage medium. BACKGROUND

[0002] With the rapid development of new energy technology, distributed power sources are increasingly widely used in power distribution networks. Distributed power sources include wind power generation, solar photovoltaic power generation, etc. These energy forms have advantages such as environmental friendliness and resource abundance, but the introduction of a high proportion of distributed power sources makes the topology of the power grid more complex, and the voltage distribution more difficult to predict and control. Traditional voltage control methods have deficiencies in response speed and adjustment accuracy when facing rapid changes brought about by distributed power sources. In order to improve the voltage control capability of the power distribution network, a voltage control method that can respond to changes in distributed power sources in real time is urgently needed. SUMMARY

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

[0004] The embodiments of the present application provide a power distribution network voltage control method, which comprises: receiving first parameter information of a voltage control node and second parameter information of a distributed power source 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 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 period and the first parameter information; obtaining a target offset of a current control period based on a 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 period, and performing voltage control based on the target output setting value.

[0005] Exemplarily, the first parameter information comprises a dual variable change step and a first regularization parameter, the voltage offset comprises an offset of an upper voltage limit and an offset of a lower voltage limit, and the current dual variable value comprises 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:

[0006]

[0007]

[0008] wherein, is a dual variable value related to the lower voltage limit of node n at time t, is a dual variable value related to the upper voltage limit of node n at time t, n is the node number of the voltage measurement point, t is the current time, t-T is the last control period, is a dual variable value related to the lower voltage limit of node n in the last control period, is a dual variable value related to the upper voltage limit of node n in the last control period, is the offset of the upper voltage limit of node n at time t, is the offset of the lower voltage limit of node n at time t, is the dual variable change step, is the first regularization parameter.

[0009] Illustratively, the target offset of the current control period is obtained 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, comprising: determining an initial offset 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; correcting the initial offset based on the target offset of the last control period and the second parameter information to obtain the target offset of the current control period.

[0010] Illustratively, the initial offset is determined 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, comprising: determining at least one of a first offset of a gradient descent part of an objective function and a second offset of a regularization part based on the power measurement value of the distributed power source node and the second parameter information; determining a third offset of a voltage constraint part based on the power sensitivity parameter and the current dual variable value; determining the initial offset based on at least one of the first offset, the second offset and the third offset.

[0011] Illustratively, the first offset of the gradient descent part of the objective function is determined by the following formula:

[0012]

[0013]

[0014] wherein, denotes the distributed power source number and , is a set of node numbers where the distributed power source is located, denotes the current time, is the last control period, The active power measurement value of power node i at time i. In order to be in The reactive power measurement value of power node i at time i. For the current moment The maximum active power output that the distributed power source at node i can provide is... Let the objective function be the current time. The operating cost of each distributed power source within the cluster, here is... .

[0015] For example, the second parameter information includes a second regularization parameter, and the second offset of the regularization portion is determined by the following formula:

[0016]

[0017]

[0018] in, This represents the regularization part, here it is... , This is the second regularization parameter. In order to be in The active power measurement value of power node i at time i. In order to be in The reactive power measurement value of power node i at any given time.

[0019] For example, the third offset of the voltage constraint portion is determined by the following formula:

[0020]

[0021]

[0022] in, For injection nodes The third offset of the voltage constraint part related to active power. For injection nodes The third offset of the voltage constraint part related to reactive power. Indicates the number of the voltage measurement node and , A set of voltage measurement node numbers. Indicates the injection node Active power injection about nodes The voltage sensitivity, Indicates the injection node Reactive power injection about nodes The voltage sensitivity, For moment node dual variable value related to the lower limit of the voltage, For moment node dual variable value related to the upper limit of the voltage.

[0023] Illustratively, the determination of the initial offset based on at least one of the first offset, the second offset and the third offset comprises: summing the first offset, the second offset and the third offset to obtain the initial offset.

[0024] Illustratively, the target offset of the last control period comprises a target offset of active power output of the last control period and a target offset of reactive power output of the last control period, the initial offset comprises an initial offset of active power output and an initial offset of reactive power output, the second parameter information comprises a plurality of offset correction coefficients, the target offset of the current control period comprises a target offset of active power output of the current control period and a target offset of reactive power output of the current control period, and the correction of the initial offset based on the target offset of the last control period and the second parameter information to obtain the target offset of the current control period comprises: in the case that the product of the target offset of active power output of the last control period and the initial offset of active power output is greater than a preset threshold, determining the target offset of active power output of the current control period as the product of the initial offset of active power output and a first offset correction coefficient; in the case that the product of the target offset of active power output of the last control period and the initial offset of active power output is less than the preset threshold, determining the target offset of active power output of the current control period as the product of the initial offset of active power output and a second offset correction coefficient; in the case that the product of the target offset of reactive power output of the last control period and the initial offset of reactive power output is greater than a preset threshold, determining the target offset of reactive power output of the current control period as the product of the initial offset of reactive power output and a third offset correction coefficient; and in the case that the product of the target offset of reactive power output of the last control period and the initial offset of reactive power output is less than the preset threshold, determining the target offset of reactive power output of the current control period as the product of the initial offset of reactive power output and a 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.

[0025] Illustratively, the target output setting value of the distributed power supply node in the current control period is obtained based on the target offset value of the current control period, including: correcting the target output setting value of the distributed power supply node in the previous control period based on the target offset value of the current control period, to obtain the target output setting value of the distributed power supply node in the current control period.

[0026] Illustratively, 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 supply node in the current control period is obtained based on the target offset value of the current control period, including: determining the sum of the target offset value of active power output in the current control period and the target output setting value of active power output in the previous control period as the target output setting value of active power output in the current control period; and determining the sum of the target offset value of reactive power output in the current control period and the target output setting value of reactive power output in the previous control period as the target output setting value of reactive power output in the current control period.

[0027] Another embodiment of the present application provides a power distribution network voltage control device, which includes: 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 power 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, a dual variable value in a previous control period, and the first parameter information; a third determining module configured to obtain a target offset value of a current control period based on a power measurement value of the distributed power supply node, the second parameter information, the power sensitivity parameter, and the current dual variable value; and a fourth determining module configured to obtain a target output setting value of the distributed power supply node based on the target offset value of the current control period, and perform voltage control based on the target output setting value.

[0028] Illustratively, the first parameter information includes a dual variable step length 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 determining module determines the current dual variable value by the following formula:

[0029]

[0030]

[0031] wherein, is moment node a dual variable value related to a voltage lower limit, is moment node a dual variable value related to a voltage upper limit, is a node number of a voltage measurement point, is a current moment, is a previous control period, is a previous control period node a dual variable value related to a voltage lower limit, is a previous control period node a dual variable value related to a voltage upper limit, is moment node an offset of a voltage upper limit, is moment node an offset of a voltage lower limit, is the dual variable change step length, is the first regularization parameter.

[0032] Illustratively, the third determining module is further configured to 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; and correct the initial offset based on the target offset of the previous control period and the second parameter information to obtain a target offset of a current control period.

[0033] Illustratively, the third determining module is further configured to determine at least one of a first offset of a gradient descent part of the target function and a second offset of a regularization part based on the power measurement value of the distributed power supply node and the second parameter information; determine a third offset of a voltage constraint part based on the power sensitivity parameter and the current dual variable value; and determine an initial offset based on at least one of the first offset, the second offset and the third offset.

[0034] Another embodiment of the present application provides an electronic device including a memory and a processor, the memory storing a computer program, and the processor implementing the steps of the method of any of the above embodiments when executing the computer program.

[0035] Another embodiment of the present application provides a computer readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the steps of the method of any of the above embodiments.

[0036] Another embodiment of the present application provides a computer program product, which comprises instructions, when executed by a processor of a computer device, enable the computer device to perform the steps of the method of any of the above embodiments.

[0037] In the above embodiment, the power distribution network voltage control method comprises: receiving first parameter information of a voltage control node in the power distribution network and second parameter information of a distributed power supply node; 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 last control cycle dual variable value and the first parameter information; obtaining a target offset of a current control cycle based on a power measurement value of the distributed power supply 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 supply node based on the target offset of the current control cycle, and performing voltage control based on the target output setting value. When facing rapid changes caused by the distributed power supply, voltage regulation can be achieved more quickly and accurately, and stable operation of the power distribution network is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 A flowchart of the power distribution network voltage control method provided by the embodiment of the present application;

[0039] Figure 2 A flowchart of determining the target offset of the current control cycle provided by the embodiment of the present application;

[0040] Figure 3 A flowchart of determining the initial offset provided by the embodiment of the present application;

[0041] Figure 4 A general flowchart of the voltage control method provided by the embodiment of the present application;

[0042] Figure 5 A topology connection provided by the embodiment of the present application;

[0043] Figure 6 A schematic diagram of the cluster internal device and measurement deployment provided by the embodiment of the present application;

[0044] Figure 7 A schematic diagram of the source and load fluctuation curve provided by the embodiment of the present application;

[0045] Figure 8 A schematic diagram of the active power output of the distributed power supply provided by the embodiment of the present application;

[0046] Figure 9 A schematic diagram of the reactive power output of the distributed power supply provided by the embodiment of the present application;

[0047] Figure 10 A schematic diagram of a power distribution network voltage control device is provided for an embodiment of the present application.

[0048] Figure 11 A block diagram of an electronic device is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0049] Embodiments of the present application are described in detail below with reference to examples illustrated in the accompanying drawings, in which the same or similar components have the same or similar designations throughout the various figures and like reference numerals have been used, where possible, to designate identical or like components that function in the same or similar manner but are located in different figures. The embodiments described below with reference to the accompanying drawings are illustrative and are intended to be examples of the present application, which are not to be construed as limiting.

[0050] With the rapid development of new energy technology, distributed power sources are increasingly widely used in power distribution networks. Distributed power sources include wind power generation, solar photovoltaic power generation, etc. These energy forms have advantages such as environmental friendliness and resource abundance, but the introduction of a high proportion of distributed power sources makes the topology of the power grid more complex and the voltage distribution more difficult to predict and control. Distributed power sources are usually located on the edge side of the power distribution network, and their output has randomness and volatility, which makes the voltage fluctuation problem more prominent. If not effectively controlled, it may lead to voltage over-limit, frequent fluctuations, and even cause power quality problems, affecting the safe and stable operation of the power grid. In order to solve these problems, real-time voltage control methods have emerged. Traditional voltage control methods mainly include adjusting transformer taps, using voltage regulators and voltage regulating devices, etc. However, these methods have deficiencies in response speed and adjustment accuracy when facing rapid changes brought about by distributed power sources. In order to improve the voltage control capability of the power distribution network, a voltage control method that can respond to changes in distributed power sources in real time is urgently needed.

[0051] In some examples, the voltage control method includes: analyzing the network characteristics of the low-voltage power distribution network based on the sensitivity matrix based on the root cause of voltage over-limit; constructing a double-layer control model based on MAS, establishing a double-layer distributed photovoltaic reactive voltage control strategy based on MAS; improving the control strategy in S2 to obtain an event-triggered distributed reactive voltage control strategy with the participation of distributed energy storage; and testing the effectiveness of the distributed photovoltaic reactive voltage control strategy. The voltage control method uses a reactive power control scheme, which can maintain system stability without reducing photovoltaic consumption capacity. However, this adjustment scheme requires repeated iterations, and a separate reactive power adjustment algorithm may not be able to achieve final convergence, resulting in a dead loop. Even if it converges, there may be a high cost of reactive power adjustment, increasing the overall regulation cost.

[0052] In some examples, the voltage control method further comprises: calculating a three-phase unbalanced power distribution network voltage-reactive sensitivity matrix of each phase; dividing the power distribution network voltage control area of the power distribution network by using a fast incremental clustering algorithm according to the voltage-reactive sensitivity matrix and by calculating the correlation coefficient between the nodes and the clustering cluster; detecting the voltage out-of-limit nodes in the area according to the divided voltage control area of the power distribution network, and constructing a priority list according to the sensitivity correlation level, and sequentially calling the reactive power compensation resources for voltage correction. The voltage control method adopts a system-level control scheme, indirectly increases the cost by calling additional reactive power resources to correct the system. At the same time, the three-phase unbalance occurs with a low probability in the distribution network, and the main voltage fluctuation in the distribution network is derived from the fluctuation of the power flow of the power grid. In addition, the clustering calculation consumes a large amount of resources, and a large number of samples are required for pre-training, and the practical application ability is poor.

[0053] In some examples, the voltage control method further comprises: establishing an electrical relationship matrix by calculating the electrical distance between the first nodes, then performing node cluster division to obtain second nodes; performing reactive power optimization on the second nodes according to the sparrow search algorithm, screening out third nodes, and judging whether the voltage of the third nodes is out of limit, if not, ending; if yes, performing active power optimization on the third nodes, screening out fourth nodes, and controlling the target power distribution network according to the active power and the reactive power of the fourth nodes. The voltage control method adopts the sparrow algorithm, needs to perform four times of node screening for analysis and judgment, and has high calculation complexity. The scheme of simultaneously adjusting the active power and the reactive power has high adjustment efficiency, but does not fully consider that the active adjustment cost is high, and the reactive adjustment should be used as much as possible to reduce the control cost.

[0054] Based on this, the application provides a control method capable of realizing real-time voltage control of a power distribution network edge side containing a high-proportion distributed power cluster, and enabling the power distribution network to operate safely and efficiently.

[0055] Figure 1 FIG. 1 is a flowchart of a power distribution network voltage control method according to an embodiment of the application.

[0056] As an example, as shown in FIG. 2, the power distribution network voltage control method comprises the following steps. Figure 1

[0057] S101, receiving first parameter information of a voltage control node in a power distribution network and second parameter information of a distributed power node.

[0058] S102, 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.

[0059] S103, determining a current dual variable value based on the voltage offset, a previous control period dual variable value and the first parameter information. ​

[0060] S104, obtaining a 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.

[0061] S105, obtaining a target output setting 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 setting value.

[0062] Exemplarily, the voltage control nodes in the power distribution network can be controlled and managed by the cluster edge computing controller, and the distributed power supply nodes can be controlled and managed by the distributed power supply on-site controller. Of course, the cluster edge computing controller and the distributed power supply on-site controller interact with each other. The first parameter information of the voltage control nodes, such as the voltage control range of each voltage control node and the like, and the second parameter information of the distributed power supply nodes, such as the offset correction coefficient and the like, can be configured by an operator in advance, or can be obtained according to a preset configuration method during voltage control.

[0063] Exemplarily, the cluster edge computing controller can determine the power sensitivity parameter and the voltage offset of the voltage control node according to the 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 by an acquisition circuit, the power sensitivity parameter can be calculated by a preset algorithm, and the voltage offset of the voltage control node can be the offset between the voltage measurement value of the voltage control node and the voltage upper and lower limits in the first parameter information. The present application proposes a dual variable value, which is used to determine the target offset in each control period based on original dual decomposition. First, the current dual variable value is determined based on the voltage offset, the dual variable value of the last control period and the first parameter information. Then, the target offset of the current control period 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. The power measurement value of the distributed power supply node can be obtained by an acquisition circuit. Finally, the target output setting value of the distributed power supply node is obtained based on the target offset of the current control period, and voltage control is performed based on the target output setting value. It can be understood that the target output setting value of the distributed power supply node is the power value that the distributed power supply node needs to output. Voltage control based on the target output setting value can quickly respond to voltage fluctuations and has high adjustment efficiency.

[0064] It should be noted that the time of the control period can be configured in advance, and the process from step S102 to step S105 is executed once for each control period. The shorter the control period, the faster the response speed. However, a too short control period requires higher system memory resources. The control period can be determined from the perspective of response speed and resource consumption.

[0065] The original dual decomposition based distributed power supply cluster voltage control method of the application improves the response speed of voltage regulation, realizes higher control accuracy, and ensures stable operation of the power distribution network.

[0066] The original dual decomposition based distributed power supply cluster voltage control method is described in detail below.

[0067] As an example, the first parameter information includes a voltage control range, a dual variable initial value, a dual variable change step, and a first regularization parameter. The second parameter information includes a plurality of offset correction coefficients and a second regularization parameter. The offset correction coefficient can be four. For example, for a cluster edge computing controller, the voltage control range of each voltage control node is input , the voltage lower limit related dual variable initial value , the voltage upper limit related dual variable initial value , the dual variable change step , and the first regularization parameter . For a distributed power supply local controller, the second regularization parameter , and the adaptive coefficient related to reactive power and active power offset are input. For convenience of description, the number of the voltage measurement node is , the number of the node where the distributed power supply is located is , the current time is , and the control interval is .

[0068] As an example, the power sensitivity parameter can include linearized sensitivity parameters of active power and reactive power, and the sensitivity parameter can also be in matrix form. Let be the linearized sensitivity parameter matrix of active power, be the linearized sensitivity parameter matrix of reactive power.

[0069] The cluster edge computing controller calculates the linearized sensitivity parameter matrices of each node voltage with respect to the active power and reactive power injected by each node and , and transmits and to each distributed power supply local controller. The specific calculation method is as follows:

[0070] The parameter matrices and can be calculated by using a power flow linearization method such as the LinDistFlow based linearization method as follows:

[0071]

[0072] wherein denotes the total number of nodes, denotes the element in denotes the active power injection of the injection node to the voltage of the node , denotes the element in denotes the reactive power injection of the injection node to the voltage of the node , denotes the active power injection vector of each node, denotes the reactive power injection vector of each node, denotes the voltage vector of each node in the system, denotes the voltage reference vector of each node in the system;

[0073] wherein, and are solved by the following method:

[0074]

[0075]

[0076] wherein, is the set of branches between the voltage measurement node and the node where the distributed power source is located, denotes the total number of nodes, denotes the branch number, is the resistance of the branch , is the reactance of the branch , is the branch-node incidence matrix of the branch between the voltage measurement node and the node where the distributed power source is located, is solved by the following method:

[0077]

[0078] As an example, the voltage control range in the first parameter information can be represented as , the voltage measurement value of the node at the moment can be represented as , the voltage offset of the voltage control node can include the offset of the voltage measurement value and the upper limit of the voltage and the offset of the voltage measurement value and the lower limit of the voltage . The voltage of the node at the moment is calculated by the cluster edge computing controller​​ The offset of the voltage measurement value from the upper and lower voltage limits and The specific calculation method is as follows:

[0079]

[0080]

[0081] in, Indicates the node number of the voltage measurement point. Indicates the current moment. express Time Node The voltage measurement modulus, This represents the minimum value within the voltage control range. This indicates the maximum value within the voltage control range.

[0082] After obtaining the power sensitivity parameters 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.

[0083] As an example, the first parameter information includes the step size of the dual variable change. and the first regularization parameter The voltage offset includes the offset of the upper voltage limit and the offset of the lower voltage limit. The current dual variable value includes the dual variable value related to the upper voltage limit. and the dual variable values ​​related to the lower voltage limit The current value of the dual variable is determined using the following formula:

[0084]

[0085]

[0086] in, The dual variable value of node n at time t related to the lower voltage limit. Let be the dual variable value of node n at time t related to the upper voltage limit, where n is the node number of the voltage measurement point, t is the current time, and tT is the previous control cycle. The dual variable value related to the lower voltage limit at node n in the previous control cycle. The value of the dual variable related to the upper voltage limit at node n in the previous control cycle. Let be the offset of the upper limit of the voltage at node n at time t. Let be the offset of the lower voltage limit of node n at time t. The step size of the dual variable. The first regularization parameter. The step size of the dual variable. and the first regularization parameter are known quantities.

[0087] It should be noted that the calculated instantaneous node current dual variable value related to the upper and lower limits of the voltage , to each distributed power supply local controller. The cluster edge computing controller and the distributed power supply local controller need to communicate at least in each control period. It can be understood that a new current dual variable value is calculated in each control period and sent to each distributed power supply local controller. The cluster edge computing controller also transmits the calculated linearized sensitivity parameter matrixes of active power and reactive power and to each distributed power supply local controller.

[0088] As an example, as shown in Figure 2 , 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 target offset amount of the current control period is obtained, including:

[0089] S201, 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, determining an initial offset amount.

[0090] S202, based on the target offset amount of the last control period and the second parameter information, correcting the initial offset amount to obtain the target offset amount of the current control period.

[0091] Exemplarily, the power measurement value of the distributed power supply node can be obtained by collecting circuit or other methods, the second parameter information is obtained by prior configuration, and the power sensitivity parameter and the current dual variable value are obtained by the above calculation method. The initial offset amount can be determined by each distributed power supply local controller 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. Then, based on the target offset amount of the last control period and the second parameter information, the initial offset amount is corrected to obtain the target offset amount of the current control period. It can be understood that the target offset amount is the target offset amount of the active power and the reactive power of the distributed power supply node.

[0092] The adjustment method of the present application adopts the adjustment scheme of active and reactive power combination, so that the adjustment efficiency is higher.

[0093] As an example, as shown in Figure 3 , 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, determining an initial offset amount, including:

[0094] S301, determining at least one of a first offset of a target function gradient descent part and a second offset of a regularization part based on power measurement values of distributed power supply nodes and second parameter information.

[0095] S302, determining a third offset of a voltage constraint part based on power sensitivity parameters and current dual variable values.

[0096] S303, determining an initial offset based on at least one of the first offset, the second offset and the third offset.

[0097] Exemplarily, the application considers the offset of power from multiple aspects, such as at least one of a target function gradient descent aspect, a regularization aspect, and a voltage constraint aspect. The offset of the target 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 determined as the initial offset, or the sum of the first offset and the third offset is determined as the initial offset, or the sum of the second offset and the third offset is determined as the initial offset. The initial offset can also be determined according to the three.

[0098] The specific calculation methods of the first offset, the second offset and the third offset are described in detail below.

[0099] As an example, the first offset of the target function gradient descent part is determined by the following formula:

[0100]

[0101]

[0102] wherein, represents the number of distributed power supply and , is a set of node numbers where the distributed power supply is located, represents the current time, is the active power measurement value of the power supply node i at the time , is the reactive power measurement value of the power supply node i at the time , is the maximum active power output that the distributed power supply at node i can provide at the current time , for a target function, the target function including an operating cost of each distributed power source in the cluster at a current time .

[0103] Exemplarily, the measurement value of the actual active power and the measurement value of the reactive power of the distributed power source at the node i at the time t are collected by the local controller of the distributed power source, the target function includes an operating cost of each distributed power source in the cluster at a current time , the target function can be set as , wherein represents a shift amount of the target function gradient descent part associated with the active power, represents a shift amount of the target function gradient descent part associated with the reactive power.

[0104] The voltage control method of the application balances various cost factors, not only can realize accurate voltage control, but also comprehensively considers the dispatching cost of active power and reactive power in the optimization process, through this comprehensive optimization strategy, the method not only effectively controls the system voltage, but also reduces the overall dispatching cost.

[0105] As an example, the second parameter information includes a second regularization parameter, and the second shift amount of the regularization part is determined by the following formula:

[0106]

[0107]

[0108] , wherein represents a regularization part, here , is the second regularization parameter, is the measurement value of the active power of the power source node i at the time t, is the measurement value of the reactive power of the power source node i at the time t. represents a shift amount of the regularization part associated with the active power, represents a shift amount of the regularization part associated with the reactive power. The voltage control method of the application fully considers the joint action of active power and reactive power on node voltage in the optimization process, through comprehensive analysis and adjustment of the two, ensures that the power system can maintain stable voltage level under various operating conditions.

[0109] The voltage control method of the application fully considers the joint action of active power and reactive power on node voltage in the optimization process, through comprehensive analysis and adjustment of the two, ensures that the power system can maintain stable voltage level under various operating conditions.

[0110] ​​​​​​As an example, the third offset of the voltage constraint part is determined by the following formula:

[0111]

[0112]

[0113] wherein, is the third offset of the voltage constraint part related to the active power injection of the injection node , is the third offset of the voltage constraint part related to the reactive power injection of the injection node , denotes the number of the voltage measurement node and , is the set of the number of the voltage measurement node, denotes the sensitivity of the active power injection of the injection node with respect to the voltage of the node , denotes the sensitivity of the reactive power injection of the injection node with respect to the voltage of the node , is the value of the dual variable of the injection node related to the lower voltage limit at the time point , is the value of the dual variable of the injection node related to the upper voltage limit at the time point .

[0114] Exemplarily, the local controller of each distributed power source obtains the linearization parameter matrix and calculated by the cluster edge computing controller through the above steps, and the updated value of the dual variable of the injection node related to the voltage upper and lower limits at the time point , . The third offset of the voltage constraint part is calculated based on the above formula.

[0115] As an example, the initial offset is determined based on at least one of the first offset, the second offset and the third offset, including: summing the first offset, the second offset and the third offset to obtain the initial offset.

[0116] ​This application comprehensively considers the power shift from three aspects: objective function gradient descent, regularization, and voltage constraint, and uses the sum of the first, second, and third offsets as the initial offset. Of course, it is not limited to these three aspects of power offset; other aspects can also be considered. Furthermore, the summation method is not limited to the one mentioned above; a weighted summation method can also be used. For example, if experimental data shows that the objective function gradient descent has a greater impact on the power shift, then the first offset in the objective function gradient descent portion can be given a larger weight.

[0117] For example, the calculated offsets can be summed to obtain the initial offset.

[0118] The initial offset is calculated as follows:

[0119]

[0120]

[0121] in, For the current moment At node The initial offset of the active power output of the distributed power source. For the current moment At node The initial offset of the reactive power output of the distributed power source. Indicates the injected node Active power about nodes The voltage sensitivity, Indicates the injected node Reactive power about nodes The voltage sensitivity, and Let be the update value of the dual variable of node n at time t, which is related to the upper and lower voltage limits. This is the second regularization parameter.

[0122] Then, based on the target offset and second parameter information of the previous control cycle, the initial offset is corrected to obtain the target offset of the current control cycle.

[0123] As an example, the target offset of the last control period includes a target offset of active power output of the last control period and a target offset of reactive power output of the last control period, the initial offset includes an initial offset of active power output and an initial offset of reactive power output, the second parameter information includes a plurality of offset correction coefficients, the target offset of the current control period includes a target offset of active power output of the current control period and a target offset of reactive power output of the current control period, the initial offset is corrected based on the target offset of the last control period and the second parameter information to obtain the target offset of the current control period, comprising:

[0124] In a case where a product of the target offset of active power output of the last control period and the initial offset of active power output is greater than a preset threshold, the target offset of active power output of the current control period is determined as a product of the initial offset of active power output and a first offset correction coefficient;

[0125] In a case where a product of the target offset of active power output of the last control period and the initial offset of active power output is less than a preset threshold, the target offset of active power output of the current control period is determined as a product of the initial offset of active power output and a second offset correction coefficient;

[0126] In a case where a product of the target offset of reactive power output of the last control period and the initial offset of reactive power output is greater than a preset threshold, the target offset of reactive power output of the current control period is determined as a product of the initial offset of reactive power output and a third offset correction coefficient;

[0127] In a case where a product of the target offset of reactive power output of the last control period and the initial offset of reactive power output is less than a preset threshold, the target offset of reactive power output of the current control period is determined as a product of the initial offset of reactive power output and a fourth offset correction coefficient;

[0128] 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.

[0129] Exemplarily, the target offset of active power output of the last control period is denoted as , the target offset of reactive power output of the last control period is denoted as , the first offset correction coefficient is denoted as , the second offset correction coefficient is denoted as , the third offset correction coefficient is denoted as , and the fourth offset correction coefficient is denoted as . The initial offset is corrected with the offset of the last control process ( 、 ) are compared and corrected to obtain the target offset. The preset threshold can be 0.

[0130] The specific process is as follows:

[0131] If the product of the target offset of the active power output in the last control period 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 as the product of the initial offset of the active power output and the first offset correction coefficient, that is, ;

[0132] If the product of the target offset of the active power output in the last control period 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 period is determined as the product of the initial offset of the active power output and the second offset correction coefficient, that is, ;

[0133] If the product of the target offset of the reactive power output in the last control period and the initial offset of the reactive power output is greater than the preset threshold, that is, , then the target offset of the reactive power output in the current control period is determined as the product of the initial offset of the reactive power output and the third offset correction coefficient, that is, ;

[0134] If the product of the target offset of the reactive power output in the last control period and the initial offset of the reactive power output is less than the preset threshold, that is, , then the target offset of the reactive power output in the current control period is determined as the product of the initial offset of the reactive power output and the fourth offset correction coefficient, that is, ;

[0135] wherein, and are the initial offsets of the active power output and the reactive power output of the distributed power supply at node i at the current time t, and are the final offsets of the active power output and the reactive power output of the distributed power supply at node i at the current time t, is the offset correction coefficient, , , and , can be determined according to experience in combination with actual conditions.

[0136] ​As an example, the target output setting value of the distributed power supply node is obtained based on the target offset of the current control period, including: correcting the target output setting value of the distributed power supply node of the previous control period based on the target offset of the current control period to obtain the target output setting value of the distributed power supply node of the current control period.

[0137] As an example, the target output setting value of the distributed power supply node of the previous control period is recorded as and , and and are corrected according to the target offset of the current control period and to obtain the target output setting value of the distributed power supply node of the current control period.

[0138] As an example, the target output setting value includes the target output setting value of the active power output and the target output setting value of the reactive power output, the target output setting value of the distributed power supply node of the previous control period is corrected based on the target offset of the current control period to obtain the target output setting value of the distributed power supply node of the current control period, including:

[0139] The sum of the target offset of the active power output of the current control period and the target output setting value of the active power output of the previous control period is determined as the target output setting value of the active power output of the current control period.

[0140] The sum of the target offset of the reactive power output of the current control period and the target output setting value of the reactive power output of the previous control period is determined as the target output setting value of the reactive power output of the current control period.

[0141] As an example, the target output setting value of the active power output of the current control period is recorded as , and the target output setting value of the reactive power output of the current control period is recorded as . The specific calculation method is as shown in the following formula:

[0142]

[0143]

[0144] wherein, and are the target offsets of the active power output and the reactive power output of the distributed power supply at the current time at the node , and are the target offsets of the active power output and the reactive power output of the distributed power supply at the current time at the node target output setting values of active power output and reactive power of the distributed power supply, and for the active power output and the reactive power of the distributed power supply at the node at the moment.

[0145] based on the obtained target output setting values of the current control period and voltage control is performed on the distributed power supply node. It should be noted that the time is advanced to the moment, and the above steps S102-S105 are repeated to continue the voltage control.

[0146] Figure 4 is the overall flowchart of the voltage control method of an embodiment of the present application. As shown in Figure 4 ,

[0147] 1) for the cluster edge computing controller, input the voltage control range of each voltage control node , the initial value of the lower limit related dual variable , the initial value of the upper limit related dual variable , the dual variable change step , the regularization parameter ; for the distributed power supply local controller, input the regularization parameter , the adaptive coefficient related to the reactive power and active power offset ; let the number of the voltage measurement node be , the number of the node where the distributed power supply is located be , the current moment be , and the control interval be .

[0148] 2) the cluster edge computing controller calculates the linearized sensitivity parameter matrix of each node voltage related to the active power and reactive power injected by each node and , and transmits and to each distributed power supply local controller.

[0149] 3) according to the parameters and input to the cluster edge computing controller in step 1), the voltage measurement value of the node at the moment , the cluster edge computing controller calculates the offset value of the voltage measurement value of the node at the moment from the upper and lower limits of the voltage and .

[0150] 4) Based on the offset value calculated in step 3), and , combined Time Node Dual variable values ​​related to voltage upper and lower limits and Step size of dual variable change Regularization parameters Calculated by the cluster edge computing controller Time Node Updated values ​​of dual variables related to voltage upper and lower limits , .

[0151] 5) Update the value calculated in step 4). , Send to the local controllers of each distributed power source.

[0152] 6) Data is collected by the local controllers of each distributed power source. Time Node Measurement values ​​of actual active and reactive power of distributed power sources and Combined with regularization parameters Calculate the offsets for the gradient descent part and the regularization part of the objective function.

[0153] 7) Based on 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 power source. and .

[0154] 8) Add the offsets obtained in steps 6) and 7) to obtain the initial offset for each distributed power source local controller in this control process. Compare this initial offset with the offset from the previous control process, and correct the offset based on the comparison result to obtain the target offset. and .

[0155] 9) Based on the final offset obtained in step 8), the local controllers of each distributed power source correct the setpoint of the distributed power source output to obtain the final target output setpoint. and , according to the final target output set value control distributed power output, at this time the output of each distributed power supply changes, the power flow distribution changes.

[0156] 10) time to , repeat steps 3) to step 9), continue voltage control.

[0157] The distributed power supply cluster voltage control method based on the original dual decomposition of the present application can save computing resources, realize real-time distribution of power supply cluster of distribution network, and support fast adjustment of cluster voltage under limited measurement driving.

[0158] The effect of the distributed power supply cluster voltage control method based on the original dual decomposition of the present application is verified.

[0159] Exemplarily, the verification method can use IEEE 33 standard distribution network, including 33 nodes, the topology connection condition is as shown in Figure 5 , 23 groups of photovoltaic 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, and the capacity is 200kWp, 200kWp, 200kWp, 200kWp, 200kWp, 350kWp, 300kWp, 350kWp, 300kWp, 300kWp, 250kWp, 300kWp, 300kWp, 250kWp, 350kWp, 350kWp, 300kWp, 300kWp, 300kWp, 350kWp, 200kWp, 200kWp and 250kWp. Ten voltage measurement points are nodes 2, 3, 6, 10, 14, 18, 22, 25, 30 and 33. The source load fluctuation curve is as shown in Figure 7 . The system voltage is 12.66kV, and the reference power is 1MV. The voltage reference value of the distribution network is set to 1.0p.u.. The change step , the regularization coefficient , , the correction coefficient . The voltage real-time control method based on the original dual decomposition for the distributed power supply cluster of the distribution network is used for control, and the distributed power supply output strategy can be obtained through the above steps. To verify the effectiveness of the method, the following two control scenarios are used for comparison for the distribution system:

[0160] Scheme 1: The output of the distributed power supply is not reduced.

[0161] Scheme 2: A distributed power supply cluster voltage control method based on the original dual decomposition is used to realize voltage control.

[0162] The computer hardware environment performing the optimization calculation can be an Intel(R) Core(TM) i7-13700 CPU, the main frequency can be 2.10 GHz, the memory can be 16.0 GB, and the software environment can be a Windows 11 operating system.

[0163] The example topology adopted by the embodiment of the application is as shown in Figure 5 The cluster device and measurement deployment are as shown in Figure 6 The prediction curve changes of the distributed power output and load fluctuation are as shown in Figure 7

[0164] Figure 8 The active power output of the distributed power of nodes 8, 9 and 11 under the method of scheme 2.

[0165] Figure 9 The reactive power output of the distributed power of nodes 8, 9 and 11 under the method of scheme 2.

[0166] In combination with Figures 7 to 9 It can be seen that, with the changes of the photovoltaic curve and the load curve, the voltage of the voltage measurement point in scheme 1 will appear obvious out-of-limit, while scheme 2 can limit the voltage near the voltage reference value. It can be known that scheme 2 indeed has a significant advantage in maintaining the voltage level of the power distribution system stable, and provides a strong guarantee for the safe and reliable operation of the power system.

[0167] The application also provides a power distribution network voltage control device.

[0168] As an example, as shown in Figure 10 The power distribution network voltage control device comprises: a receiving module 1001, configured to receive first parameter information of a voltage control node and second parameter information of a distributed power node in a power distribution network; a first determining module 1002, 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 1003, configured to determine a current dual variable value based on the voltage offset, a previous control cycle dual variable value and the first parameter information; a third determining module 1004, configured to obtain a target offset of a current control cycle based on a power measurement value of the distributed power node, the second parameter information, the power sensitivity parameter and the current dual variable value; and a fourth determining module 1005, configured to obtain a target output setting value of the distributed power node based on the target offset of the current control cycle, and perform voltage control based on the target output setting value.

[0169] ​As an example, the first parameter information includes a dual variable change step and a first regularization parameter, the voltage offset includes an upper voltage limit offset and a lower voltage limit offset, 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 1003 determines the current dual variable value according to the following formula:

[0170]

[0171]

[0172] wherein, is a dual variable value related to the lower voltage limit of the node n at the time t, is a dual variable value related to the upper voltage limit of the node n at the time t, n is a node number of a voltage measurement point, t is a current time, and t-T is a previous control period, is a dual variable value related to the lower voltage limit of the node n in the previous control period, is a dual variable value related to the upper voltage limit of the node n in the previous control period, is an upper voltage limit offset of the node n at the time t, is a lower voltage limit offset of the node n at the time t, is a dual variable change step, is a first regularization parameter.

[0173] As an example, the third determination module 1004 is further configured to: determine an initial offset 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 correct the initial offset based on the target offset in the previous control period and the second parameter information to obtain the target offset in the current control period.

[0174] As an example, the third determination module 1004 is further configured to: determine at least one of a first offset of a gradient descent part of the target function and a second offset of a regularization part based on the power measurement value of the distributed power source node and the second parameter information; determine a third offset of a voltage constraint part based on the power sensitivity parameter and the current dual variable value; and determine an initial offset based on at least one of the first offset, the second offset, and the third offset.

[0175] The present application also provides a computer readable storage medium.

[0176] In this embodiment, the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the power distribution network voltage control method.

[0177] Figure 11 The block diagram of the electronic device provided in the present application is shown in FIG. 1.

[0178] The embodiment of the present application provides an electronic device, including a memory and a processor, the memory stores a computer program, and the processor implements the power distribution network voltage control method when executing the computer program.

[0179] As shown in Figure 11 For ease of understanding, the embodiment of the present application shows a specific electronic device.

[0180] The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown here, their connections, and their functions, as well as the software implemented by the electronic device, are meant only to be examples and are not intended to limit the implementations of the present disclosure described and / or claimed in this document.

[0181] As shown in Figure 11 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. In the RAM 1103, various programs and data required for the operation of the electronic device can also be stored. The computing unit 1101, the ROM 1102, and the RAM 1103 are connected to each other through a bus 1104. An input / output (I / O) interface 1105 is also connected to the bus 1104.

[0182] A plurality of components in the electronic device are connected to the I / O interface 1105, including an input unit 1106, such as a keyboard, a mouse, etc., an output unit 1107, such as various types of displays, speakers, etc., a storage unit 1108, such as a magnetic disk, an optical disk, etc., 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 through a computer network, such as the Internet, and / or various telecommunications networks.

[0183] The computing unit 1101 can be various general and / or special purpose processing components 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 performs various methods described above, such as the power distribution network voltage control method. For example, in some embodiments, the power 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 power distribution network voltage control method described above can be performed. Alternatively, in other embodiments, the computing unit 1101 can be configured, by way of firmware or otherwise, to execute the power distribution network voltage control method.

[0184] It should be noted that the logical and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a list of executable instructions for implementing logical functions and can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor- containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions, or a combination thereof. For purposes of this application, a "computer-readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection (electronic) having one or more wires, a portable computer diskette (magnetic), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable medium upon which the program is printed, as the program can be electronically captured, for example via an optical scanner, then compiled, interpreted, or otherwise processed, and stored in a computer memory in order to be executed.

[0185] It should be understood that portions of the application can be implemented in hardware, software, firmware, or combinations thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware that is stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, implementation can be with any or a combination of the following technologies, which are all well-known in the art: a discrete logic circuit having logic gates for implementing logic functions upon an application of data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0186] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" etc. means that the specific feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. The illustrative representation of the above terms in the present application does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0187] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the 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 particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0188] In addition, the terms "first", "second", etc. used in the embodiments of the present application are only for the purpose of description and can 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 with the terms "first", "second" and the like in the embodiments of the present application can explicitly or implicitly indicate that the embodiments include at least one of the features. In the description of the present application, the meaning of the word "plurality" is at least two or two or more, such as two, three, four, etc., unless otherwise specifically limited in the embodiments.

[0189] In the present application, unless otherwise explicitly specified or limited in the embodiments, the terms "mounting", "connecting", "connecting" and "fixing" and the like appearing in the embodiments should be understood in a broad sense, for example, the connection can be fixed connection, or detachable connection, or integral, can be understood, or mechanical connection, electrical connection, etc. Of course, it can also be directly connected, or indirectly connected through an intermediate medium, or it can be the internal communication of two elements, or the interaction relationship of two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific implementation situation.

[0190] In the present application, unless otherwise explicitly specified and limited, the first feature is "on" or "under" the second feature. The first and second features can be in direct contact, or the first and second features can be indirectly contacted through an intermediate medium. Moreover, the first feature "above", "above" and "above" the second feature can be directly above or obliquely above the first feature, or only indicates that the horizontal height of the first feature is higher than that of the second feature. The first feature "below", "below" and "below" the second feature can be directly below or obliquely below the first feature, or only indicates that the horizontal height of the first feature is less than that of the second feature.

[0191] 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 limiting the present application. Those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A voltage control method for a power distribution network, characterized in that, The method includes: Receive the first parameter information of the voltage control node and the second parameter information of the distributed power generation node in the distribution network; Based on the first parameter information and the voltage measurement value of the voltage control node, the power sensitivity parameter and the voltage offset of the voltage control node are determined; Based on the voltage offset, the value of the dual variable from the previous control cycle, and the first parameter information, the current value of the dual variable is determined. Based on the power measurement value of the distributed power 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; Based on the target offset of the current control cycle, the target output setting value of the distributed power node is obtained, and voltage control is performed based on the target output setting value; The second parameter information includes multiple offset correction coefficients and a second regularization parameter. The step of obtaining the target offset for the current control cycle based on the power measurement value of the distributed power node, the second parameter information, the power sensitivity parameter, and the current dual variable value includes: Based on the power measurement value of the distributed power node, the second regularization parameter, the power sensitivity parameter, and the current dual variable value, an initial offset is determined, wherein the initial offset includes a third offset of the voltage constraint part, a first product between the current dual variable value related to the lower voltage limit and the power sensitivity parameter, a second product between the current dual variable value related to the upper voltage limit and the power sensitivity parameter, and the difference between the first product and the second product is determined as the third offset; Based on the consistency between the target offset and the initial offset direction in the previous control cycle, an offset correction coefficient is selected from multiple offset correction coefficients. The initial offset is corrected based on the offset correction coefficient to obtain the target offset for the current control cycle.

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

3. The method according to claim 1, characterized in that, The determination of the initial offset based on the power measurement value of the distributed power node, the second parameter information, the power sensitivity parameter, and the current dual variable value includes: Based on the power measurement value of the distributed power node and the second parameter information, at least one of the first offset of the gradient descent part of the objective function and the second offset of the regularization part is determined. Based on the power sensitivity parameter and the current dual variable value, determine the third offset of the voltage constraint part; The initial offset is determined based on at least one of the first offset, the second offset, and the third offset.

4. The method according to claim 3, characterized in that, The first offset of the gradient descent portion of the objective function is determined using the following formula: in, Indicates the distributed power source number and , This is a set of node numbers for distributed power sources. Indicates the current moment. In order to be in The active power measurement value of power node i at time i. In order to be in The reactive power measurement value of power node i at time i. For the current moment The maximum active power output that the distributed power source at node i can provide is... Let the objective function be the current time. The operating cost of each distributed power source within the cluster, here is... .

5. The method according to claim 3, 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, This represents the regularization part, here it is... , This is the second regularization parameter. In order to be in The active power measurement value of power node i at time i. In order to be in The reactive power measurement value of power node i at any given time.

6. The method according to claim 3, characterized in that, The third offset of the voltage constraint section is determined using the following formula: in, For injection nodes The third offset of the voltage constraint part related to active power. For injection nodes The third offset of the voltage constraint part related to reactive power. Indicates the number of the voltage measurement node and , A set of voltage measurement node numbers. Indicates the injection node Active power injection about nodes The voltage sensitivity, Indicates the injection node Reactive power injection about nodes The voltage sensitivity, for Time Node Dual variable values ​​related to the lower voltage limit for Time Node The value of the dual variable related to the upper voltage limit.

7. The method according to claim 3, characterized in that, Determining the initial offset based on at least one of the first offset, the second offset, and the third offset includes: The first offset, the second offset, and the third offset are summed to obtain the initial offset.

8. The method according to claim 1, characterized in that, The target offset of the previous control cycle includes the target offset of active power output and the target offset of reactive power output of the previous control cycle. The initial offset includes the initial offset of active power output and the initial offset of reactive power output. The target offset of the current control cycle includes the target offset of active power output and the target offset of reactive power output of the current control cycle. The consistency of the direction of the target offset of the previous control cycle and the initial offset is used to select an offset correction coefficient from a plurality of offset correction coefficients. The initial offset is corrected based on the offset correction coefficient to obtain the target offset for the current control cycle, including: 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 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 first offset correction coefficient. 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 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. If 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, 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. If 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 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.

9. The method according to claim 1, characterized in that, The process of obtaining the target output setting value of the distributed power node based on the target offset of the current control cycle includes: The target output setting value of the distributed power 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 node in the current control cycle.

10. The method according to claim 9, characterized in that, The target output setting value includes a target output setting value for active power output and a target output setting value for reactive power output. The step of correcting the target output setting value of the distributed power 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 node in the current control cycle includes: The target offset of the active power output in the current control cycle is determined by adding the target output setpoint of the active power output in the previous control cycle to the target output setpoint of the active power output in the current control cycle. The target offset of reactive power output in the current control cycle is determined by adding the target output setpoint of reactive power output in the previous control cycle to the target output setpoint of reactive power output in the current control cycle.

11. A power distribution network voltage control device, characterized in that, The device includes: The receiving module is used to receive the first parameter information of the voltage control node and the second parameter information of the distributed power generation node in the distribution network. The first determining module is used to determine the power sensitivity parameter and the voltage offset of the voltage control node based on the first parameter information and the voltage measurement value of the voltage control node. The second determining module is used to determine the current dual variable value based on the voltage offset, the dual variable value of the previous control cycle, and the first parameter information; The third determining module is used to obtain the target offset of the current control cycle based on the power measurement value of the distributed power node, the second parameter information, the power sensitivity parameter and the current dual variable value; The fourth determining module is used to obtain the target output setting value of the distributed power node based on the target offset of the current control cycle, and to perform voltage control based on the target output setting value; The second parameter information includes multiple offset correction coefficients and a second regularization parameter, and the third determining module is further used for: The initial offset is determined based on the power measurement value of the distributed power node, the second regularization parameter, the power sensitivity parameter, and the current dual variable value. The offset correction coefficient is determined based on the consistency between the target offset of the previous control cycle and the direction of the initial offset. The initial offset is corrected based on the offset correction coefficient to obtain the target offset for the current control cycle; The initial offset includes a third offset of the voltage constraint portion, and the third determining module is further configured to: Determine a first product between the current dual variable value related to the lower voltage limit and the power sensitivity parameter, a second product between the current dual variable value related to the upper voltage limit and the power sensitivity parameter, and determine the difference between the first product and the second product as the third offset.

12. The apparatus according to claim 11, characterized in that, The first parameter information includes the step size of the dual variable change and the first regularization parameter. The voltage offset includes the offset of the upper voltage limit and the offset of the lower voltage limit. The current dual variable value includes the dual variable value related to the upper voltage limit and the dual variable value related to the lower voltage limit. The second determining module determines the current dual variable value using the following formula: in, for Time Node Dual variable values ​​related to the lower voltage limit for Time Node The value of the dual variable related to the upper voltage limit, The node number for the voltage measurement point. For the current moment, For the previous control cycle, The node of the previous control cycle Dual variable values ​​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 upper limit of the voltage. for Time Node The offset of the lower voltage limit. Let the step size of the dual variable be denoted as . Let be the first regularization parameter.

13. The apparatus according to claim 11, characterized in that, The third determining module is also used for: Based on the power measurement value of the distributed power node and the second parameter information, at least one of the first offset of the gradient descent part of the objective function and the second offset of the regularization part is determined. Based on the power sensitivity parameter and the current dual variable value, determine the third offset of the voltage constraint part; The initial offset is determined based on at least one of the first offset, the second offset, and the third offset.

14. An electronic device, characterized in that, The method includes a memory and a processor, the memory storing a computer program, characterized in that the processor executes the computer program to implement the steps of the method according to any one of claims 1-10.

15. A computer-readable storage medium, characterized in that, It stores a computer program thereon, which, when executed by a processor, implements the steps of the method described in any one of claims 1-10.

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