Control method of distribution network, control device of distribution network and electronic device

Abstract

The present application provides a control method, a control device, and an electronic device for a distribution network. The method includes: obtaining the voltage amplitude of a predetermined node of the distribution network and the current Lagrangian multiplier corresponding to the predetermined node; adjusting the current Lagrangian multiplier corresponding to the predetermined node based on at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier; determining an adjusted Lagrangian multiplier set based on the adjusted Lagrangian multiplier; adjusting the active power corresponding to the predetermined node based on at least the adjusted Lagrangian multiplier set and the current active power corresponding to the predetermined node to obtain an adjusted active power; and adjusting the reactive power corresponding to the predetermined node based on at least the adjusted Lagrangian multiplier set and the current reactive power corresponding to the predetermined node to obtain an adjusted reactive power. This method solves the overvoltage problem in the distribution network.

Description

Technical Field

[0001] The present application relates to the field of power distribution networks, and in particular to a control method for a power distribution network, a control device for a power distribution network, a computer-readable storage medium, and an electronic device. Background Art

[0002] Photovoltaic power generation has the advantages of being consumed locally and occupying a small area. Therefore, it can be expected that the proportion of photovoltaic power generation in energy supply will gradually increase in the future. In the context of the widespread application of photovoltaic power generation technology in the power system, there is bound to be a high proportion of photovoltaic power generation in the distribution network. Compared with the transmission network, the voltage at the distribution network node is larger, so the voltage at the distribution network node is more sensitive to changes in active power. When the active power output of the photovoltaic power source is high, overvoltage may occur.

[0003] Therefore, there is an urgent need for a method to solve the overvoltage phenomenon in the distribution network. Summary of the Invention

[0004] The main purpose of this application is to provide a control method for a distribution network, a control device for a distribution network, a computer-readable storage medium and an electronic device, so as to at least solve the problem of overvoltage in the distribution network in the prior art.

[0005] According to another aspect of the present application, a control method for a distribution network is provided, comprising: an acquisition step of acquiring a voltage amplitude of a predetermined node of the distribution network and a current Lagrangian multiplier corresponding to the predetermined node, wherein the current Lagrangian multiplier corresponding to the predetermined node is a Lagrangian multiplier that satisfies an inequality constraint of the voltage amplitude; a first adjustment step of adjusting the current Lagrangian multiplier corresponding to the predetermined node based on at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier, wherein the distribution network includes a plurality of nodes. , the predetermined node is a node including a photovoltaic power source among the multiple nodes; a determining step, determining an adjusted Lagrange multiplier set according to the adjusted Lagrange multiplier; a second adjusting step, adjusting the active power corresponding to the predetermined node according to at least the adjusted Lagrange multiplier set and the current active power corresponding to the predetermined node to obtain the adjusted active power, and adjusting the reactive power corresponding to the predetermined node according to at least the adjusted Lagrange multiplier set and the current reactive power corresponding to the predetermined node to obtain the adjusted reactive power.

[0006] Optionally, the current Lagrangian multiplier includes a current upper limit Lagrangian multiplier and a current lower limit Lagrangian multiplier, and the adjusted Lagrangian multiplier includes an adjusted upper limit Lagrangian multiplier and an adjusted lower limit Lagrangian multiplier. The first adjustment step includes: calculating the adjusted upper limit Lagrangian multiplier based on at least the voltage amplitude of the predetermined node and the current upper limit Lagrangian multiplier, wherein the current upper limit Lagrangian multiplier is the Lagrangian multiplier of the upper limit constraint inequality of the voltage amplitude of the predetermined node; calculating the adjusted lower limit Lagrangian multiplier based on at least the voltage amplitude of the predetermined node and the current lower limit Lagrangian multiplier, wherein the current lower limit Lagrangian multiplier is the Lagrangian multiplier of the lower limit constraint inequality of the voltage amplitude of the predetermined node.

[0007] Optionally, calculating the adjusted upper limit Lagrangian multiplier based on at least the voltage amplitude of the predetermined node and the current upper limit Lagrangian multiplier includes: calculating the upper limit Lagrangian multiplier based on the voltage amplitude of the predetermined node, the current upper limit Lagrangian multiplier, the iteration step, the upper limit vector of the voltage amplitude of the predetermined node, the unit vector of the voltage amplitude of the predetermined node, the Laplace matrix, and the formula , calculate the adjusted upper limit Lagrange multiplier, where is a vector consisting of the adjusted upper limit Lagrange multipliers of all the nodes of the distribution network, is a vector consisting of the current upper limit Lagrange multipliers of all the nodes of the distribution network, is the iteration step size, is the voltage magnitude vector of the predetermined node, is the upper limit vector of the voltage amplitude of the predetermined node, is the unit vector of the voltage amplitude of the predetermined node, is a Laplace matrix, wherein the iteration step is a preset interval time.

[0008] Optionally, calculating the adjusted lower limit Lagrangian multiplier at least according to the voltage amplitude of the predetermined node and the current lower limit Lagrangian multiplier includes: calculating the adjusted lower limit Lagrangian multiplier according to the voltage amplitude of the predetermined node, the current lower limit Lagrangian multiplier, the iteration step, the lower limit vector of the voltage amplitude of the predetermined node, the unit vector of the voltage amplitude of the predetermined node, the Laplace matrix, and the formula , calculate the adjusted lower bound Lagrange multiplier, where is a vector consisting of the adjusted lower-limit Lagrange multipliers of all the nodes of the distribution network, is a vector consisting of the current lower limit Lagrange multipliers of all the nodes of the distribution network, is the iteration step size, is the voltage magnitude vector of the predetermined node, is the lower limit vector of the voltage amplitude of the predetermined node, is the unit vector of the voltage amplitude of the predetermined node, is a Laplace matrix, wherein the iteration step is a preset interval time.

[0009] Optionally, the adjusted Lagrangian multiplier set includes an adjusted upper limit Lagrangian multiplier set and an adjusted lower limit Lagrangian multiplier set, and the active power corresponding to the predetermined node is adjusted at least according to the adjusted Lagrangian multiplier set and the current active power corresponding to the predetermined node to obtain the adjusted active power, including: according to the current active power corresponding to the predetermined node, the iteration step size, the maximum power output by the photovoltaic power supply, the transposed matrix of the i-th column vector of the predetermined matrix, the adjusted upper limit Lagrangian multiplier set, the adjusted lower limit Lagrangian multiplier set, and the formula , calculate the adjusted active power, wherein, is the adjusted active power, is the current active power corresponding to the predetermined node, is the iteration step length, is the maximum power output by the photovoltaic power source, is the transposed matrix of the i-th column vector of the predetermined matrix, is the set of adjusted upper bound Lagrange multipliers, The adjusted lower-limit Lagrange multiplier set, the iteration step length is a preset interval time, and the predetermined matrix is ​​a matrix representing the topology of the distribution network.

[0010] Optionally, the adjusted Lagrangian multiplier set includes an adjusted upper limit Lagrangian multiplier set and an adjusted lower limit Lagrangian multiplier set, and the reactive power corresponding to the predetermined node is adjusted at least according to the adjusted Lagrangian multiplier set and the current reactive power corresponding to the predetermined node, to obtain the adjusted reactive power, including: according to the iteration step size, the transposed matrix of the i-th column vector of the predetermined matrix, the adjusted upper limit Lagrangian multiplier set, the adjusted lower limit Lagrangian multiplier set, the current reactive power corresponding to the predetermined node, and the formula , calculate the adjusted reactive power, wherein, is the reactive power after adjustment, is the current reactive power corresponding to the predetermined node, is the iteration step length, is the transposed matrix of the i-th column vector of the predetermined matrix, is the set of adjusted upper bound Lagrange multipliers, The adjusted lower-limit Lagrange multiplier set, the iteration step length is a preset interval time, and the predetermined matrix is ​​a matrix representing the topology of the distribution network.

[0011] Optionally, the determining step includes: obtaining a Lagrangian multiplier set of adjacent nodes, wherein the adjacent nodes are nodes adjacent to the predetermined node and electrically connected to the predetermined node; replacing all Lagrangian multipliers in the Lagrangian multiplier set of the adjacent nodes with the adjusted Lagrangian multipliers to obtain the adjusted Lagrangian multiplier set.

[0012] Optionally, the method further includes: a loop step of sequentially executing the first adjustment step, the determination step, and the second adjustment step a predetermined number of times.

[0013] According to another aspect of the present application, a control device for a distribution network is provided, comprising: an acquisition unit, configured to obtain a voltage amplitude of a predetermined node of the distribution network and a current Lagrangian multiplier corresponding to the predetermined node, wherein the current Lagrangian multiplier corresponding to the predetermined node is a Lagrangian multiplier that satisfies an inequality constraint of the voltage amplitude; and a first adjustment unit, configured to adjust the current Lagrangian multiplier corresponding to the predetermined node according to at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node in a first adjustment step to obtain an adjusted Lagrangian multiplier. The distribution network comprises a plurality of nodes. , the predetermined node is a node including a photovoltaic power source among the multiple nodes; a determining unit is used for the determining step, determining an adjusted Lagrange multiplier set according to the adjusted Lagrange multiplier; a second adjusting unit is used for the second adjustment step, adjusting the active power corresponding to the predetermined node according to at least the adjusted Lagrange multiplier set and the current active power corresponding to the predetermined node to obtain the adjusted active power, and adjusting the reactive power corresponding to the predetermined node according to at least the adjusted Lagrange multiplier set and the current reactive power corresponding to the predetermined node to obtain the adjusted reactive power.

[0014] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute any one of the methods described.

[0015] According to another aspect of the present application, an electronic device is provided, comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute any one of the methods described above through the computer program.

[0016] Applying the technical solution of the present application, first, the voltage amplitude of a predetermined node in a distribution network and the current Lagrangian multiplier corresponding to the predetermined node are obtained; the current Lagrangian multiplier corresponding to the predetermined node is adjusted based on at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier; then, an adjusted Lagrangian multiplier set is determined based on the adjusted Lagrangian multiplier; finally, the active power corresponding to the predetermined node is adjusted based on at least the adjusted Lagrangian multiplier set and the current active power corresponding to the predetermined node to obtain an adjusted active power, and the reactive power corresponding to the predetermined node is adjusted based on at least the adjusted Lagrangian multiplier set and the current reactive power corresponding to the predetermined node to obtain an adjusted reactive power. The method measures the voltage amplitude of a node containing a photovoltaic power source in the distribution network and calculates the corresponding Lagrangian multiplier based on the voltage amplitude to calculate the output power corresponding to the photovoltaic power source of the predetermined node at a predetermined time. The predetermined node exchanges a locally stored set of Lagrangian multipliers with its neighboring nodes and updates the local set of Lagrangian multipliers. By adjusting the output power of the photovoltaic power source to ensure that the voltage of the distribution network is within a safe range, the technical problem of overvoltage in the distribution network is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings that constitute part of this application are used to provide a further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation on this application. In the drawings:

[0018] Figure 1 A hardware structure block diagram of a mobile terminal for executing a method for controlling a power distribution network according to an embodiment of the present application is shown;

[0019] Figure 2 A schematic diagram of a flow chart of a method for controlling a power distribution network according to an embodiment of the present application is shown;

[0020] Figure 3 A schematic diagram of a single-chain structure distribution network is shown;

[0021] Figure 4 A structural block diagram of a topological structure of a distribution network is shown;

[0022] Figure 5 The figure shows an overall flow chart of a method for controlling a power distribution network according to an embodiment of the present application;

[0023] Figure 6 A schematic diagram of voltage amplitude of a distribution network control method provided according to an embodiment of the present application is shown;

[0024] Figure 7A schematic diagram showing changes in the maximum valve voltage amplitude and the minimum voltage amplitude during a control process of a control method for a distribution network provided according to an embodiment of the present application is shown;

[0025] Figure 8 A schematic diagram showing a photovoltaic abandonment rate according to a method for controlling a distribution network provided in an embodiment of the present application is shown;

[0026] Figure 9 A structural block diagram of a control device for a power distribution network provided according to an embodiment of the present application is shown.

[0027] The above drawings include the following reference numerals:

[0028] 102. Processor; 104. Memory; 106. Transmission device; 108. Input / output device. DETAILED DESCRIPTION

[0029] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0030] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] As introduced in the background technology, in the prior art, an overvoltage phenomenon occurs in the distribution network. To solve the above technical problems, the embodiments of the present application provide a control method for a distribution network, a control device for a distribution network, a computer-readable storage medium, and an electronic device.

[0033] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0034] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 FIG. 1 is a hardware structure block diagram of a mobile terminal for a method for controlling a power distribution network according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown) a processor 102 (the processor 102 may include but is not limited to a microprocessor MCU or a programmable logic device FPGA and other processing devices) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0035] The memory 104 can be used to store computer programs, such as software programs and modules of application software, such as the computer program corresponding to the power distribution network control method in the embodiment of the present invention. The processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, thereby implementing the above-mentioned method. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of such networks may include a wireless network provided by the mobile terminal's telecommunications provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0036] In this embodiment, a method for controlling a power distribution network running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0037] Figure 2 FIG. 1 is a flow chart of a method for controlling a distribution network according to an embodiment of the present application. Figure 2 As shown, the method includes the following steps:

[0038] Step S201, an acquisition step, obtaining a voltage amplitude of a predetermined node of the distribution network and a current Lagrangian multiplier corresponding to the predetermined node, wherein the current Lagrangian multiplier corresponding to the predetermined node is a Lagrangian multiplier that satisfies the inequality constraint of the voltage amplitude;

[0039] Specifically, the Lagrange multiplier method is a method for finding the extreme value of a function under constraints. Its principle is to introduce a new parameter, the Lagrange multiplier, to link the constraint function with the original function so that they can form an equation equal to the number of variables, thereby finding the solution for each variable that leads to the extreme value of the original function. The voltage amplitude is restricted by the voltage amplitude inequality mentioned above.

[0040] Step S202, a first adjustment step, adjusting the current Lagrangian multiplier corresponding to the predetermined node based on at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier, wherein the distribution network includes a plurality of nodes, and the predetermined node is a node including a photovoltaic power source among the plurality of nodes;

[0041] Specifically, the current Lagrange multiplier corresponding to the predetermined node is stored in the corresponding predetermined node, which can only adjust the predetermined node itself and cannot adjust multiple nodes of the entire distribution network. Therefore, the above method of updating the Lagrange multiplier can achieve collaboration between different nodes.

[0042] Step S203, determining step, determining an adjusted Lagrange multiplier set based on the adjusted Lagrange multipliers;

[0043] Specifically, the Lagrange multiplier set includes a plurality of Lagrange multipliers that satisfy the constraint conditions. The adjusted Lagrange multipliers constitute the adjusted Lagrange multiplier set.

[0044] Step S204, the second adjustment step, adjusts the active power corresponding to the above-mentioned predetermined node at least according to the adjusted set of Lagrange multipliers and the current active power corresponding to the above-mentioned predetermined node to obtain the adjusted active power, and adjusts the reactive power corresponding to the above-mentioned predetermined node at least according to the adjusted set of Lagrange multipliers and the current reactive power corresponding to the above-mentioned predetermined node to obtain the adjusted reactive power.

[0045] Specifically, by obtaining the updated active power and reactive power of the photovoltaic power source, the voltage of the distribution network can be ensured to be within a safe range.

[0046] According to this embodiment, first, the voltage amplitude of a predetermined node in a distribution network and the current Lagrangian multiplier corresponding to the predetermined node are obtained; the current Lagrangian multiplier corresponding to the predetermined node is adjusted based on at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier; then, an adjusted Lagrangian multiplier set is determined based on the adjusted Lagrangian multiplier; finally, the active power corresponding to the predetermined node is adjusted based on at least the adjusted Lagrangian multiplier set and the current active power corresponding to the predetermined node to obtain an adjusted active power, and the reactive power corresponding to the predetermined node is adjusted based on at least the adjusted Lagrangian multiplier set and the current reactive power corresponding to the predetermined node to obtain an adjusted reactive power. This method measures the voltage amplitude of a node containing a photovoltaic power source in the distribution network and calculates the corresponding Lagrangian multiplier based on the voltage amplitude to calculate the output power corresponding to the photovoltaic power source of the predetermined node at a predetermined time. The predetermined node exchanges a locally stored set of Lagrangian multipliers with its neighboring nodes and updates the local set of Lagrangian multipliers. By adjusting the output power of the photovoltaic power source to ensure that the voltage of the distribution network is within a safe range, the technical problem of overvoltage in the distribution network is solved.

[0047] In a specific implementation process, the above-mentioned current Lagrangian multiplier includes a current upper limit Lagrangian multiplier and a current lower limit Lagrangian multiplier, and the above-mentioned adjusted Lagrangian multiplier includes an adjusted upper limit Lagrangian multiplier and an adjusted lower limit Lagrangian multiplier. The above-mentioned step S202 can be implemented by the following steps: step S2021, calculating the above-mentioned adjusted upper limit Lagrangian multiplier based on at least the voltage amplitude of the above-mentioned predetermined node and the above-mentioned current upper limit Lagrangian multiplier, wherein the above-mentioned current upper limit Lagrangian multiplier is the Lagrangian multiplier of the upper limit constraint inequality of the above-mentioned voltage amplitude of the above-mentioned predetermined node; step S2022, calculating the above-mentioned adjusted lower limit Lagrangian multiplier based on at least the voltage amplitude of the above-mentioned predetermined node and the above-mentioned current lower limit Lagrangian multiplier, wherein the above-mentioned current lower limit Lagrangian multiplier is the Lagrangian multiplier of the lower limit constraint inequality of the above-mentioned voltage amplitude of the above-mentioned predetermined node. The current Lagrangian multiplier includes a current upper limit Lagrangian multiplier and a current lower limit Lagrangian multiplier, and the adjusted Lagrangian multiplier includes an adjusted upper limit Lagrangian multiplier and an adjusted lower limit Lagrangian multiplier. This can constrain both the lower and upper limits of the voltage amplitude, further ensuring the stability of the distribution network.

[0048] The above step S2021 can also be implemented in other ways, for example, according to the voltage amplitude of the above predetermined node, the above current upper limit Lagrange multiplier, the iteration step, the upper limit vector of the voltage amplitude of the above predetermined node, the unit vector of the voltage amplitude of the above predetermined node, the Laplace matrix and the formula , calculate the adjusted upper limit Lagrange multiplier mentioned above, where is a vector of the adjusted upper limit Lagrange multipliers of all the above nodes in the above distribution network, is a vector of the current upper limit Lagrange multipliers of all the nodes in the distribution network, is the above iteration step size, is the voltage amplitude vector of the above predetermined node, is the upper limit vector of the voltage amplitude of the predetermined node, is the unit vector of the voltage amplitude of the above predetermined node, is a Laplace matrix, wherein the iteration step length is a preset interval length. The iteration step length is the duration for updating the current upper limit Lagrange multiplier to the adjusted upper limit Lagrange multiplier, and the iteration step length can be preset. The above method can quickly calculate the adjusted upper limit Lagrange multiplier.

[0049] Furthermore, for each node, Assume that is the upper limit Lagrange multiplier corresponding to node i, let Indicates the communication relationship between nodes i and j. When there is no communication channel between nodes i and j or i=j, ,otherwise Assuming that there are N nodes in the distribution network, when node i is a photovoltaic power node, according to the formula , after the node interacts with the adjacent nodes through the Lagrange multiplier set, the upper limit Lagrange multiplier corresponding to the node is updated. In the case that node i is a pure load node without photovoltaic power source, according to the formula , after the node interacts with the adjacent nodes through the Lagrange multiplier set, the upper limit Lagrange multiplier corresponding to this node is updated.

[0050] The above step S2022 can also be implemented in other ways, for example: according to the voltage amplitude of the above predetermined node, the above current lower limit Lagrange multiplier, the iteration step, the lower limit vector of the voltage amplitude of the above predetermined node, the unit vector of the voltage amplitude of the above predetermined node, the Laplace matrix and the formula , calculate the adjusted lower bound Lagrange multiplier above, where, is a vector of the adjusted lower limit Lagrange multipliers of all the above nodes in the above distribution network, is a vector consisting of the current lower limit Lagrange multipliers of all the above nodes in the above distribution network, is the above iteration step size, is the voltage amplitude vector of the above predetermined node, is the lower limit vector of the voltage amplitude of the predetermined node, is the unit vector of the voltage amplitude of the above predetermined node, is a Laplace matrix, wherein the iteration step length is a preset interval length. The iteration step length is the time duration for updating the current lower limit Lagrange multiplier to the adjusted lower limit Lagrange multiplier, and the iteration step length can be preset. The above method can quickly calculate the adjusted lower limit Lagrange multiplier.

[0051] Furthermore, for each node, Assume that is the lower limit Lagrange multiplier corresponding to node i, let Represents the communication relationship between nodes i and j. When there is no communication channel between nodes i and j or i=j, ,otherwise Assuming that there are N nodes in the distribution network, when node i is a photovoltaic power node, according to the formula After the node interacts with the adjacent nodes through the Lagrange multiplier set, the lower limit Lagrange multiplier corresponding to the node is updated. In the case that node i is a pure load node without photovoltaic power source, according to the formula , after the node interacts with the adjacent nodes through the Lagrange multiplier set, the lower limit Lagrange multiplier corresponding to this node is updated.

[0052] In order to further calculate the above-mentioned adjusted active power, the above-mentioned adjusted Lagrangian multiplier set includes an adjusted upper limit Lagrangian multiplier set and an adjusted lower limit Lagrangian multiplier set. The above-mentioned step S204 of the present application can be implemented by the following steps: according to the current active power corresponding to the above-mentioned predetermined node, the iteration step size, the maximum power output by the above-mentioned photovoltaic power supply, the transposed matrix of the i-th column vector of the predetermined matrix, the adjusted upper limit Lagrangian multiplier set, the adjusted lower limit Lagrangian multiplier set and the formula , calculate the above-mentioned adjusted active power, where, is the above-mentioned active power after adjustment, is the current active power corresponding to the above-mentioned predetermined node, is the iteration step length, is the maximum power output of the above photovoltaic power source, is the transposed matrix of the i-th column vector of the predetermined matrix, is the set of upper bound Lagrange multipliers after adjustment above, The above-mentioned adjusted lower-limit Lagrange multiplier set, the above-mentioned iteration step length is a preset interval time length, and the above-mentioned predetermined matrix is ​​a matrix representing the topology of the above-mentioned distribution network.

[0053] In order to further calculate the adjusted reactive power, the adjusted Lagrange multiplier set includes an adjusted upper limit Lagrange multiplier set and an adjusted lower limit Lagrange multiplier set. The step S204 can also be implemented in other ways, for example, according to the iteration step size, the transposed matrix of the i-th column vector of the predetermined matrix, the adjusted upper limit Lagrange multiplier set, the adjusted lower limit Lagrange multiplier set, the current reactive power corresponding to the predetermined node, and the formula , calculate the reactive power after adjustment, where is the reactive power after adjustment, is the current reactive power corresponding to the above-mentioned predetermined node, is the iteration step length, is the transposed matrix of the i-th column vector of the predetermined matrix, is the set of upper bound Lagrange multipliers after adjustment above, The above-mentioned adjusted lower limit Lagrange multiplier set, the above-mentioned iteration step length is the preset interval length, and the above-mentioned predetermined matrix is ​​the matrix representing the topology of the above-mentioned distribution network. Figure 3 As shown, Figure 3 shows a single-chain structure distribution network, are the active power and reactive power flowing through line i, are the active power and reactive power flowing out of node i respectively. is the equivalent impedance of line i. When the distribution network is in steady-state operation, the voltage amplitude of each node is not much different from the root node voltage amplitude, and the line loss can be ignored, so the linear power flow formula can be obtained: 、 、 , the power input from the node to the line is defined as positive power, and the power transmitted by the line to the root node is defined as positive, so that the voltage amplitude of the root node is , we can get: , where the matrix It is a matrix that reflects the topology of the distribution network. The element in the i-th row and j-th column reflects the positional relationship between nodes i and j, as shown in the following expression: ,in, Represents the path from node i to the root node. Divide the node variables into node variables with distributed power sources and node variables without distributed power sources, then ,in, are the voltage amplitudes of nodes with and without distributed generation, respectively. They are the active power output by distributed power sources, the active power absorbed by the load in the node containing distributed power sources, and the active power absorbed by the load in the node without distributed power sources. They are the reactive power output by distributed power sources, the reactive power absorbed by the load in the node containing distributed power sources, and the reactive power absorbed by the load in the node without distributed power sources. The matrices Assume that there are g distributed power generation nodes, and the total number of nodes is n excluding the balancing nodes. Then the block matrix Size , Size , Size .

[0054] In some embodiments, the above step S203 can be specifically implemented by the following steps: Step S2031, obtaining a set of Lagrangian multipliers of adjacent nodes, wherein the adjacent nodes are nodes adjacent to the predetermined node and electrically connected to the predetermined node; Step S2032, replacing all Lagrangian multipliers in the set of Lagrangian multipliers of the adjacent nodes with the adjusted Lagrangian multipliers to obtain the adjusted Lagrangian multiplier set. The topology of the distribution network is as follows: Figure 4As shown in Figure 1, the distribution network topology consists of multiple nodes, where white dots represent uncontrollable nodes and black dots represent controlled nodes containing distributed generation (DGs). For example, the neighboring nodes of node 3 are 2, 4, and 23. The above method updates the Lagrangian multiplier corresponding to each node by interactively calculating the Lagrangian multiplier of each node and the Lagrangian multipliers of its neighbors. This allows the Lagrangian multipliers of other nodes to communicate information node by node.

[0055] In some embodiments, step S205 is further included, wherein the first adjustment step, the determination step, and the second adjustment step are sequentially performed a predetermined number of times. The predetermined number of times may be several hundred. By repeating the method for the predetermined number of times, all predetermined nodes in the distribution network can be updated.

[0056] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the distribution network control method of the present application will be described in detail below with reference to specific embodiments.

[0057] This embodiment relates to a specific control method for a power distribution network, such as Figure 5 As shown, the following steps are included:

[0058] Step S1: performing a first iteration to measure the voltage amplitude of a predetermined node including a photovoltaic power source;

[0059] Step S2: using a distributed primal-dual convex optimization algorithm to determine the corresponding Lagrange multiplier according to the voltage amplitude;

[0060] Step S3: Calculate the output power of the photovoltaic power source at the predetermined node at the predetermined time, including active power and reactive power;

[0061] Step S4: the predetermined node exchanges the locally stored Lagrange multiplier set with its neighboring nodes, and updates the local Lagrange multiplier set;

[0062] Step S5: outputting the updated output power at the current moment, and determining the updated voltage according to the updated output power.

[0063] According to a specific embodiment of the present application, the IEEE33 example is used for simulation verification, and the upper and lower limits of the voltage fluctuation range allowed for all nodes are Among the 14 control nodes, the capacity of one distributed power supply is The maximum power output of each photovoltaic is ,The load situation of each node is shown in Table 1.

[0064] Table 1 Load of each node

[0065]

[0066] Assuming that the voltage amplitude of the balancing node is 1.0pu, at the initial moment all photovoltaics output at maximum active power and no reactive power. Before voltage control is performed, the voltage levels of each node are as follows: Figure 6 As shown in the left figure. Using the method of this application to control power and voltage, let the control step size be T=0.05, after 400 iterations, as shown in the following figure Figure 6 As shown in the right figure, the voltage level of each node has returned to normal level, such as Figure 7 As shown in the figure, in the early stage of control, the voltage level will fluctuate greatly, and even exceed the limit for a short period of time. However, since the interval between each iteration is very short, the time of voltage exceeding the limit is actually acceptable. Moreover, after about 80 iterations, the voltage level no longer exceeds the limit and gradually stabilizes. Figure 8 It can be seen that the PV curtailment rate has gradually stabilized at 4.3%. Furthermore, the control effect is related to the control step size. The smaller the control step size, the fewer iterations required to stabilize the calculation results, and the better the control effect.

[0067] The embodiment of the present application also provides a control device for a power distribution network. It should be noted that the control device for a power distribution network in the embodiment of the present application can be used to execute the control method for a power distribution network provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and those that have been described will not be repeated here. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0068] The following introduces the control device of the distribution network provided in the embodiment of the present application.

[0069] Figure 9 Schematic diagram of a control device for a power distribution network according to an embodiment of the present application. Figure 9 As shown, the device includes:

[0070] An acquisition unit 10 is configured to acquire a voltage amplitude of a predetermined node of the distribution network and a current Lagrangian multiplier corresponding to the predetermined node, wherein the current Lagrangian multiplier corresponding to the predetermined node is a Lagrangian multiplier that satisfies the inequality constraint of the voltage amplitude;

[0071] Specifically, the Lagrange multiplier method is a method for finding the extreme value of a function under constraints. Its principle is to introduce a new parameter, the Lagrange multiplier, to link the constraint function with the original function so that they can form an equation equal to the number of variables, thereby finding the solution for each variable that leads to the extreme value of the original function. The voltage amplitude is restricted by the voltage amplitude inequality mentioned above.

[0072] a first adjustment unit 20, configured to adjust, in a first adjustment step, the current Lagrangian multiplier corresponding to the predetermined node based at least on the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node, to obtain an adjusted Lagrangian multiplier, wherein the distribution network includes a plurality of nodes, and the predetermined node is a node including a photovoltaic power source among the plurality of nodes;

[0073] Specifically, the current Lagrange multiplier corresponding to the predetermined node is stored in the corresponding predetermined node, which can only adjust the predetermined node itself and cannot adjust multiple nodes of the entire distribution network. Therefore, the above method of updating the Lagrange multiplier can achieve collaboration between different nodes.

[0074] A determining unit 30 is used for determining a set of adjusted Lagrange multipliers according to the adjusted Lagrange multipliers.

[0075] Specifically, the Lagrange multiplier set includes a plurality of Lagrange multipliers that satisfy the constraint conditions. The adjusted Lagrange multipliers constitute the adjusted Lagrange multiplier set.

[0076] The second adjustment unit 40 is used for the second adjustment step, adjusting the active power corresponding to the above-mentioned predetermined node at least according to the adjusted above-mentioned Lagrange multiplier set and the current active power corresponding to the above-mentioned predetermined node to obtain the adjusted above-mentioned active power, and adjusting the reactive power corresponding to the above-mentioned predetermined node at least according to the adjusted above-mentioned Lagrange multiplier set and the current reactive power corresponding to the above-mentioned predetermined node to obtain the adjusted above-mentioned reactive power.

[0077] Specifically, by obtaining the updated active power and reactive power of the photovoltaic power source, the voltage of the distribution network can be ensured to be within a safe range.

[0078] According to this embodiment, the acquisition unit acquires the voltage amplitude of a predetermined node of the distribution network and the current Lagrangian multiplier corresponding to the predetermined node; the first adjustment unit adjusts the current Lagrangian multiplier corresponding to the predetermined node based on the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier; the determination unit then determines an adjusted Lagrangian multiplier set based on the adjusted Lagrangian multiplier; the second adjustment unit adjusts the active power corresponding to the predetermined node based on at least the adjusted Lagrangian multiplier set and the current active power corresponding to the predetermined node to obtain an adjusted active power, and adjusts the reactive power corresponding to the predetermined node based on at least the adjusted Lagrangian multiplier set and the current reactive power corresponding to the predetermined node to obtain an adjusted reactive power. The device measures the voltage amplitude of a node containing a photovoltaic power source in the distribution network and calculates the corresponding Lagrangian multiplier based on the voltage amplitude to calculate the output power corresponding to the photovoltaic power source of the predetermined node at a predetermined time. The designated node exchanges its locally stored set of Lagrange multipliers with its neighboring nodes and updates the local set of Lagrange multipliers. By adjusting the output power of the photovoltaic power source, the voltage of the distribution network is kept within a safe range, solving the technical problem of overvoltage in the distribution network.

[0079] In a specific implementation process, the current Lagrangian multiplier includes a current upper limit Lagrangian multiplier and a current lower limit Lagrangian multiplier, the adjusted Lagrangian multiplier includes an adjusted upper limit Lagrangian multiplier and an adjusted lower limit Lagrangian multiplier, and the first adjustment unit includes a first calculation module and a second calculation module, wherein the first calculation module is used to calculate the adjusted upper limit Lagrangian multiplier based on at least the voltage amplitude of the predetermined node and the current upper limit Lagrangian multiplier, wherein the current upper limit Lagrangian multiplier is the Lagrangian multiplier of the upper limit constraint inequality of the voltage amplitude of the predetermined node; the second calculation module is used to calculate the adjusted lower limit Lagrangian multiplier based on at least the voltage amplitude of the predetermined node and the current lower limit Lagrangian multiplier, wherein the current lower limit Lagrangian multiplier is the Lagrangian multiplier of the lower limit constraint inequality of the voltage amplitude of the predetermined node. The current Lagrangian multiplier includes a current upper limit Lagrangian multiplier and a current lower limit Lagrangian multiplier, and the adjusted Lagrangian multiplier includes an adjusted upper limit Lagrangian multiplier and an adjusted lower limit Lagrangian multiplier. This can constrain both the lower and upper limits of the voltage amplitude, further ensuring the stability of the distribution network.

[0080] The first calculation module is further configured to calculate the voltage amplitude of the predetermined node, the current upper limit Lagrange multiplier, the iteration step, the upper limit vector of the voltage amplitude of the predetermined node, the unit vector of the voltage amplitude of the predetermined node, the Laplace matrix, and the formula , calculate the adjusted upper limit Lagrange multiplier mentioned above, where is a vector of the adjusted upper limit Lagrange multipliers of all the above nodes in the above distribution network, is a vector of the current upper limit Lagrange multipliers of all the nodes in the distribution network, is the above iteration step size, is the voltage amplitude vector of the above predetermined node, is the upper limit vector of the voltage amplitude of the predetermined node, is the unit vector of the voltage amplitude of the above predetermined node, is a Laplace matrix, wherein the iteration step length is a preset interval length. The iteration step length is the time duration for updating the current upper limit Lagrangian multiplier to the adjusted upper limit Lagrangian multiplier, and the iteration step length can be preset. The apparatus can quickly calculate the adjusted upper limit Lagrangian multiplier.

[0081] Furthermore, for each node, Assume that is the upper limit Lagrange multiplier corresponding to node i, let Represents the communication relationship between nodes i and j. When there is no communication channel between nodes i and j or i=j, ,otherwise Assuming that there are N nodes in the distribution network, when node i is a photovoltaic power node, according to the formula , after the node interacts with the adjacent nodes through the Lagrange multiplier set, the upper limit Lagrange multiplier corresponding to the node is updated. In the case that node i is a pure load node without photovoltaic power source, according to the formula , after the node interacts with the adjacent nodes through the Lagrange multiplier set, the upper limit Lagrange multiplier corresponding to this node is updated.

[0082] The second calculation module is further configured to calculate the voltage amplitude of the predetermined node, the current lower limit Lagrange multiplier, the iteration step, the lower limit vector of the voltage amplitude of the predetermined node, the unit vector of the voltage amplitude of the predetermined node, the Laplace matrix, and the formula , calculate the adjusted lower bound Lagrange multiplier above, where, is a vector of the adjusted lower limit Lagrange multipliers of all the above nodes in the above distribution network, is a vector consisting of the current lower limit Lagrange multipliers of all the above nodes in the above distribution network, is the above iteration step size, is the voltage amplitude vector of the above predetermined node, is the lower limit vector of the voltage amplitude of the predetermined node, is the unit vector of the voltage amplitude of the above predetermined node, is a Laplace matrix, wherein the iteration step length is a preset interval length. The iteration step length is the duration for updating the current lower limit Lagrange multiplier to the adjusted lower limit Lagrange multiplier, and the iteration step length can be preset. The apparatus can quickly calculate the adjusted lower limit Lagrange multiplier.

[0083] Furthermore, for each node, Assume that is the lower limit Lagrange multiplier corresponding to node i, let Represents the communication relationship between nodes i and j. When there is no communication channel between nodes i and j or i=j, ,otherwise Assuming that there are N nodes in the distribution network, when node i is a photovoltaic power node, according to the formula After the node interacts with the adjacent nodes through the Lagrange multiplier set, the lower limit Lagrange multiplier corresponding to the node is updated. In the case that node i is a pure load node without photovoltaic power source, according to the formula , after the node interacts with the adjacent nodes through the Lagrange multiplier set, the lower limit Lagrange multiplier corresponding to this node is updated.

[0084] In order to further calculate the above-mentioned adjusted active power, the above-mentioned adjusted Lagrange multiplier set includes an adjusted upper limit Lagrange multiplier set and an adjusted lower limit Lagrange multiplier set. The above-mentioned second adjustment unit of the present application is also used to calculate the current active power corresponding to the above-mentioned predetermined node, the iteration step size, the maximum power output of the above-mentioned photovoltaic power supply, the transposed matrix of the i-th column vector of the predetermined matrix, the adjusted upper limit Lagrange multiplier set, the adjusted lower limit Lagrange multiplier set and the formula , calculate the above-mentioned adjusted active power, where, is the above-mentioned active power after adjustment, is the current active power corresponding to the above-mentioned predetermined node, is the iteration step length, is the maximum power output of the above photovoltaic power source, is the transposed matrix of the i-th column vector of the predetermined matrix, is the set of upper bound Lagrange multipliers after adjustment above, The above-mentioned adjusted lower-limit Lagrange multiplier set, the above-mentioned iteration step length is a preset interval time length, and the above-mentioned predetermined matrix is ​​a matrix representing the topology of the above-mentioned distribution network.

[0085] In order to further calculate the adjusted reactive power, the adjusted Lagrange multiplier set includes an adjusted upper limit Lagrange multiplier set and an adjusted lower limit Lagrange multiplier set. The second adjustment unit is further used to calculate the reactive power corresponding to the predetermined node according to the iteration step size, the transposed matrix of the i-th column vector of the predetermined matrix, the adjusted upper limit Lagrange multiplier set, the adjusted lower limit Lagrange multiplier set, the current reactive power corresponding to the predetermined node, and the formula , calculate the reactive power after adjustment, where is the reactive power after adjustment, is the current reactive power corresponding to the above-mentioned predetermined node, is the iteration step length, is the transposed matrix of the i-th column vector of the predetermined matrix, is the set of upper bound Lagrange multipliers after adjustment above, The above-mentioned adjusted lower limit Lagrange multiplier set, the above-mentioned iteration step length is the preset interval length, and the above-mentioned predetermined matrix is ​​the matrix representing the topology of the above-mentioned distribution network. Figure 3 As shown, Figure 3 shows a single-chain structure distribution network, are the active power and reactive power flowing through line i, are the active power and reactive power flowing out of node i respectively. is the equivalent impedance of line i. When the distribution network is in steady-state operation, the voltage amplitude of each node is not much different from the root node voltage amplitude, and the line loss can be ignored, so the linear power flow formula can be obtained: 、 、 , the power input from the node to the line is defined as positive power, and the power transmitted by the line to the root node is defined as positive, so that the voltage amplitude of the root node is , we can get: , where the matrix It is a matrix that reflects the topology of the distribution network. The element in the i-th row and j-th column reflects the positional relationship between nodes i and j, as shown in the following expression: ,in, Represents the path from node i to the root node. Divide the node variables into node variables with distributed power sources and node variables without distributed power sources, then ,in, are the voltage amplitudes of nodes with and without distributed generation, respectively. They are the active power output by distributed power sources, the active power absorbed by the load in the node containing distributed power sources, and the active power absorbed by the load in the node without distributed power sources. They are the reactive power output by distributed power sources, the reactive power absorbed by the load in the node containing distributed power sources, and the reactive power absorbed by the load in the node without distributed power sources. The matrices Assume that there are g distributed power generation nodes, and the total number of nodes is n excluding the balancing nodes. Then the block matrix Size , Size , Size .

[0086] In some embodiments, the determination unit includes an acquisition module and a replacement module, wherein the acquisition module is used to acquire a set of Lagrangian multipliers of adjacent nodes, wherein the adjacent nodes are nodes adjacent to and electrically connected to the predetermined node; and the replacement module is used to replace all Lagrangian multipliers in the set of Lagrangian multipliers of the adjacent nodes with the adjusted Lagrangian multipliers to obtain the adjusted Lagrangian multiplier set. The topology of the distribution network is as follows: Figure 4 As shown, the distribution network topology consists of multiple nodes, where white dots represent uncontrollable nodes and black dots represent controlled nodes containing distributed generation (DGs). For example, node 3's neighbors are 2, 4, and 23. The above-described device updates the Lagrangian multiplier corresponding to each node by interactively calculating the Lagrangian multiplier of each node and the Lagrangian multipliers of its neighbors. This allows the Lagrangian multipliers of other nodes to communicate information node by node.

[0087] In some embodiments, the method further includes a processing unit configured to loop through the steps, sequentially performing the first adjustment step, the determination step, and the second adjustment step a predetermined number of times. The predetermined number of times may be several hundred. By repeating the method a predetermined number of times, the method can complete the update of all predetermined nodes in the distribution network.

[0088] The power distribution network control device includes a processor and a memory. The acquisition unit, first adjustment unit, determination unit, and second adjustment unit are all stored in the memory as program units. The processor executes the program units stored in the memory to implement the corresponding functions. The modules are all located in the same processor; alternatively, the modules can be located in different processors in any combination.

[0089] The processor contains a kernel, which retrieves the corresponding program unit from the memory. There can be one or more kernels, and the power distribution network can be controlled by adjusting the kernel parameters.

[0090] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0091] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program. When the program is executed, the device where the computer-readable storage medium is located is controlled to execute the control method for the power distribution network.

[0092] Specifically, the control method of the distribution network includes:

[0093] Step S201, an acquisition step, obtaining a voltage amplitude of a predetermined node of the distribution network and a current Lagrangian multiplier corresponding to the predetermined node, wherein the current Lagrangian multiplier corresponding to the predetermined node is a Lagrangian multiplier that satisfies the inequality constraint of the voltage amplitude;

[0094] Specifically, the Lagrange multiplier method is a method for finding the extreme value of a function under constraints. Its principle is to introduce a new parameter, the Lagrange multiplier, to link the constraint function with the original function so that they can form an equation equal to the number of variables, thereby finding the solution for each variable that leads to the extreme value of the original function. The voltage amplitude is restricted by the voltage amplitude inequality mentioned above.

[0095] Step S202, a first adjustment step, adjusting the current Lagrangian multiplier corresponding to the predetermined node based on at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier, wherein the distribution network includes a plurality of nodes, and the predetermined node is a node including a photovoltaic power source among the plurality of nodes;

[0096] Specifically, the current Lagrange multiplier corresponding to the predetermined node is stored in the corresponding predetermined node, which can only adjust the predetermined node itself and cannot adjust multiple nodes of the entire distribution network. Therefore, the above method of updating the Lagrange multiplier can achieve collaboration between different nodes.

[0097] Step S203, determining step, determining an adjusted Lagrange multiplier set based on the adjusted Lagrange multipliers;

[0098] Specifically, the Lagrange multiplier set includes a plurality of Lagrange multipliers that satisfy the constraint conditions. The adjusted Lagrange multipliers constitute the adjusted Lagrange multiplier set.

[0099] Step S204, the second adjustment step, adjusts the active power corresponding to the above-mentioned predetermined node at least according to the adjusted set of Lagrange multipliers and the current active power corresponding to the above-mentioned predetermined node to obtain the adjusted active power, and adjusts the reactive power corresponding to the above-mentioned predetermined node at least according to the adjusted set of Lagrange multipliers and the current reactive power corresponding to the above-mentioned predetermined node to obtain the adjusted reactive power.

[0100] Specifically, by obtaining the updated active power and reactive power of the photovoltaic power source, the voltage of the distribution network can be ensured to be within a safe range.

[0101] An embodiment of the present invention provides a processor, which is used to run a program, wherein the control method of the power distribution network is executed when the program is run.

[0102] Specifically, the control method of the distribution network includes:

[0103] Step S201, an acquisition step, obtaining a voltage amplitude of a predetermined node of the distribution network and a current Lagrangian multiplier corresponding to the predetermined node, wherein the current Lagrangian multiplier corresponding to the predetermined node is a Lagrangian multiplier that satisfies the inequality constraint of the voltage amplitude;

[0104] Specifically, the Lagrange multiplier method is a method for finding the extreme value of a function under constraints. Its principle is to introduce a new parameter, the Lagrange multiplier, to link the constraint function with the original function so that they can form an equation equal to the number of variables, thereby finding the solution for each variable that leads to the extreme value of the original function. The voltage amplitude is restricted by the voltage amplitude inequality mentioned above.

[0105] Step S202, a first adjustment step, adjusting the current Lagrangian multiplier corresponding to the predetermined node based on at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier, wherein the distribution network includes a plurality of nodes, and the predetermined node is a node including a photovoltaic power source among the plurality of nodes;

[0106] Specifically, the current Lagrange multiplier corresponding to the predetermined node is stored in the corresponding predetermined node, which can only adjust the predetermined node itself and cannot adjust multiple nodes of the entire distribution network. Therefore, the above method of updating the Lagrange multiplier can achieve collaboration between different nodes.

[0107] Step S203, determining step, determining an adjusted Lagrange multiplier set based on the adjusted Lagrange multipliers;

[0108] Specifically, the Lagrange multiplier set includes a plurality of Lagrange multipliers that satisfy the constraint conditions. The adjusted Lagrange multipliers constitute the adjusted Lagrange multiplier set.

[0109] Step S204, the second adjustment step, adjusts the active power corresponding to the above-mentioned predetermined node at least according to the adjusted set of Lagrange multipliers and the current active power corresponding to the above-mentioned predetermined node to obtain the adjusted active power, and adjusts the reactive power corresponding to the above-mentioned predetermined node at least according to the adjusted set of Lagrange multipliers and the current reactive power corresponding to the above-mentioned predetermined node to obtain the adjusted reactive power.

[0110] Specifically, by obtaining the updated active power and reactive power of the photovoltaic power source, the voltage of the distribution network can be ensured to be within a safe range.

[0111] An embodiment of the present invention provides a device, comprising a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, at least the following steps are performed:

[0112] Step S201, an acquisition step, obtaining a voltage amplitude of a predetermined node of the distribution network and a current Lagrangian multiplier corresponding to the predetermined node, wherein the current Lagrangian multiplier corresponding to the predetermined node is a Lagrangian multiplier that satisfies the inequality constraint of the voltage amplitude;

[0113] Step S202, a first adjustment step, adjusting the current Lagrangian multiplier corresponding to the predetermined node based on at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier, wherein the distribution network includes a plurality of nodes, and the predetermined node is a node including a photovoltaic power source among the plurality of nodes;

[0114] Step S203, determining step, determining an adjusted Lagrange multiplier set based on the adjusted Lagrange multipliers;

[0115] Step S204, the second adjustment step, adjusts the active power corresponding to the above-mentioned predetermined node at least according to the adjusted set of Lagrange multipliers and the current active power corresponding to the above-mentioned predetermined node to obtain the adjusted active power, and adjusts the reactive power corresponding to the above-mentioned predetermined node at least according to the adjusted set of Lagrange multipliers and the current reactive power corresponding to the above-mentioned predetermined node to obtain the adjusted reactive power.

[0116] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0117] The present application also provides a computer program product, which, when executed on a data processing device, is adapted to execute a program for initializing at least the following method steps:

[0118] Step S201, an acquisition step, obtaining a voltage amplitude of a predetermined node of the distribution network and a current Lagrangian multiplier corresponding to the predetermined node, wherein the current Lagrangian multiplier corresponding to the predetermined node is a Lagrangian multiplier that satisfies the inequality constraint of the voltage amplitude;

[0119] Step S202, a first adjustment step, adjusting the current Lagrangian multiplier corresponding to the predetermined node based on at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier, wherein the distribution network includes a plurality of nodes, and the predetermined node is a node including a photovoltaic power source among the plurality of nodes;

[0120] Step S203, determining step, determining an adjusted Lagrange multiplier set based on the adjusted Lagrange multipliers;

[0121] Step S204, the second adjustment step, adjusts the active power corresponding to the above-mentioned predetermined node at least according to the adjusted set of Lagrange multipliers and the current active power corresponding to the above-mentioned predetermined node to obtain the adjusted active power, and adjusts the reactive power corresponding to the above-mentioned predetermined node at least according to the adjusted set of Lagrange multipliers and the current reactive power corresponding to the above-mentioned predetermined node to obtain the adjusted reactive power.

[0122] Obviously, those skilled in the art will appreciate that the various modules or steps of the present invention described above can be implemented using a general-purpose computing device, can be centralized on a single computing device, or can be distributed across a network of multiple computing devices. They can be implemented using program code executable by the computing device, and thus, can be stored in a storage device and executed by the computing device. In some cases, the steps shown or described herein can be performed in a different order than that shown, or can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0123] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0124] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0125] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0126] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0127] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0128] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0129] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can be implemented using any method or technology to store information. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change RAM (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0130] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0131] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0132] 1) The control method of the distribution network of the present application first obtains the voltage amplitude of a predetermined node of the distribution network and the current Lagrangian multiplier corresponding to the predetermined node; adjusts the current Lagrangian multiplier corresponding to the predetermined node based on at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier; then determines an adjusted Lagrangian multiplier set based on the adjusted Lagrangian multiplier; finally, adjusts the active power corresponding to the predetermined node based on at least the adjusted Lagrangian multiplier set and the current active power corresponding to the predetermined node to obtain an adjusted active power, and adjusts the reactive power corresponding to the predetermined node based on at least the adjusted Lagrangian multiplier set and the current reactive power corresponding to the predetermined node to obtain an adjusted reactive power. This method measures the voltage amplitude of a node containing a photovoltaic power source in the distribution network and calculates the corresponding Lagrangian multiplier based on the voltage amplitude to calculate the output power corresponding to the photovoltaic power source of the predetermined node at a predetermined time. The designated node exchanges its locally stored set of Lagrange multipliers with its neighboring nodes and updates the local set of Lagrange multipliers. By adjusting the output power of the photovoltaic power source, the voltage of the distribution network is kept within a safe range, solving the technical problem of overvoltage in the distribution network.

[0133] 2) In the control device for the distribution network of the present application, an acquisition unit acquires the voltage amplitude of a predetermined node of the distribution network and the current Lagrangian multiplier corresponding to the predetermined node; a first adjustment unit adjusts the current Lagrangian multiplier corresponding to the predetermined node according to the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node to obtain an adjusted Lagrangian multiplier; a determination unit then determines an adjusted Lagrangian multiplier set according to the adjusted Lagrangian multiplier; a second adjustment unit adjusts the active power corresponding to the predetermined node according to at least the adjusted Lagrangian multiplier set and the current active power corresponding to the predetermined node to obtain an adjusted active power, and adjusts the reactive power corresponding to the predetermined node according to at least the adjusted Lagrangian multiplier set and the current reactive power corresponding to the predetermined node to obtain an adjusted reactive power. This method measures the voltage amplitude of a node containing a photovoltaic power source in the distribution network, and calculates the corresponding Lagrangian multiplier based on the voltage amplitude to calculate the output power corresponding to the photovoltaic power source of the predetermined node at a predetermined time. The designated node exchanges its locally stored set of Lagrange multipliers with its neighboring nodes and updates the local set of Lagrange multipliers. By adjusting the output power of the photovoltaic power source, the voltage of the distribution network is kept within a safe range, solving the technical problem of overvoltage in the distribution network.

[0134] The foregoing description is merely a preferred embodiment of the present application and is not intended to limit the present application. Persons skilled in the art will readily appreciate that various modifications and variations are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A control method for a distribution network, characterized in that: include: an acquisition step of acquiring a voltage amplitude of a predetermined node of the distribution network and a current Lagrangian multiplier corresponding to the predetermined node, wherein the current Lagrangian multiplier corresponding to the predetermined node is a Lagrangian multiplier that satisfies an inequality constraint on the voltage amplitude, and the current Lagrangian multiplier includes a current upper limit Lagrangian multiplier and a current lower limit Lagrangian multiplier; A first adjustment step, adjusting the current Lagrangian multiplier corresponding to the predetermined node according to at least the voltage amplitude of the predetermined node and the current Lagrangian multiplier corresponding to the predetermined node, to obtain an adjusted Lagrangian multiplier, wherein the distribution network includes a plurality of nodes, the predetermined node is a node including a photovoltaic power source among the plurality of nodes, and the adjusted Lagrangian multiplier includes an adjusted upper limit Lagrangian multiplier and an adjusted lower limit Lagrangian multiplier; a determining step of determining an adjusted Lagrange multiplier set based on the adjusted Lagrange multipliers; The second adjustment step is to adjust the active power corresponding to the predetermined node at least according to the adjusted Lagrange multiplier set and the current active power corresponding to the predetermined node to obtain the adjusted active power, and adjust the reactive power corresponding to the predetermined node at least according to the adjusted Lagrange multiplier set and the current reactive power corresponding to the predetermined node to obtain the adjusted reactive power.

2. The method according to claim 1, characterized in that The first adjustment step includes: Calculating the adjusted upper limit Lagrangian multiplier based on at least the voltage amplitude of the predetermined node and the current upper limit Lagrangian multiplier, wherein the current upper limit Lagrangian multiplier is a Lagrangian multiplier of an upper limit constraint inequality of the voltage amplitude of the predetermined node; The adjusted lower limit Lagrangian multiplier is calculated based on at least the voltage amplitude of the predetermined node and the current lower limit Lagrangian multiplier, wherein the current lower limit Lagrangian multiplier is the Lagrangian multiplier of the lower limit constraint inequality of the voltage amplitude of the predetermined node.

3. The method according to claim 2, characterized in that Calculating the adjusted upper limit Lagrangian multiplier based on at least the voltage amplitude of the predetermined node and the current upper limit Lagrangian multiplier includes: According to the voltage amplitude of the predetermined node, the current upper limit Lagrange multiplier, the iteration step, the upper limit vector of the voltage amplitude of the predetermined node, the unit vector of the voltage amplitude of the predetermined node, the Laplace matrix and the formula , calculate the adjusted upper limit Lagrange multiplier, where is a vector consisting of the adjusted upper limit Lagrange multipliers of all the nodes of the distribution network, is a vector consisting of the current upper limit Lagrange multipliers of all the nodes of the distribution network, is the iteration step size, is the voltage amplitude vector of the predetermined node, is the upper limit vector of the voltage amplitude of the predetermined node, is the unit vector of the voltage amplitude of the predetermined node, is a Laplace matrix, wherein the iteration step is a preset interval time.

4. The method according to claim 2, characterized in that Calculating the adjusted lower-limit Lagrangian multiplier based on at least the voltage amplitude of the predetermined node and the current lower-limit Lagrangian multiplier includes: According to the voltage amplitude of the predetermined node, the current lower limit Lagrange multiplier, the iteration step, the lower limit vector of the voltage amplitude of the predetermined node, the unit vector of the voltage amplitude of the predetermined node, the Laplace matrix and the formula , calculate the adjusted lower bound Lagrange multiplier, where is a vector consisting of the adjusted lower-limit Lagrange multipliers of all the nodes of the distribution network, is a vector consisting of the current lower limit Lagrange multipliers of all the nodes of the distribution network, is the iteration step size, is the voltage amplitude vector of the predetermined node, is the lower limit vector of the voltage amplitude of the predetermined node, is the unit vector of the voltage amplitude of the predetermined node, is a Laplace matrix, wherein the iteration step is a preset interval time.

5. The method according to claim 1, wherein The adjusted Lagrangian multiplier set includes an adjusted upper limit Lagrangian multiplier set and an adjusted lower limit Lagrangian multiplier set, and adjusting the active power corresponding to the predetermined node at least according to the adjusted Lagrangian multiplier set and the current active power corresponding to the predetermined node to obtain the adjusted active power, comprising: According to the current active power corresponding to the predetermined node, the iteration step size, the maximum power output by the photovoltaic power supply, the transposed matrix of the i-th column vector of the predetermined matrix, the adjusted upper limit Lagrange multiplier set, the adjusted lower limit Lagrange multiplier set and the formula , calculate the adjusted active power, wherein, is the adjusted active power, is the current active power corresponding to the predetermined node, is the iteration step length, is the maximum power output by the photovoltaic power source, is the transposed matrix of the i-th column vector of the predetermined matrix, is the set of adjusted upper bound Lagrange multipliers, The adjusted lower-limit Lagrange multiplier set, the iteration step length is a preset interval time length, and the predetermined matrix is ​​a matrix representing the topology of the distribution network.

6. The method according to claim 1, characterized in that The adjusted Lagrangian multiplier set includes an adjusted upper limit Lagrangian multiplier set and an adjusted lower limit Lagrangian multiplier set, and adjusting the reactive power corresponding to the predetermined node at least according to the adjusted Lagrangian multiplier set and the current reactive power corresponding to the predetermined node to obtain the adjusted reactive power, including: According to the iteration step size, the transposed matrix of the i-th column vector of the predetermined matrix, the adjusted upper limit Lagrange multiplier set, the adjusted lower limit Lagrange multiplier set, the current reactive power corresponding to the predetermined node and the formula , calculate the adjusted reactive power, wherein, is the reactive power after adjustment, is the current reactive power corresponding to the predetermined node, is the iteration step length, is the transposed matrix of the i-th column vector of the predetermined matrix, is the set of adjusted upper bound Lagrange multipliers, The adjusted lower-limit Lagrange multiplier set, the iteration step length is a preset interval time length, and the predetermined matrix is ​​a matrix representing the topology of the distribution network.

7. The method according to claim 1, characterized in that The determining step comprises: Acquire a set of Lagrange multipliers of adjacent nodes, wherein the adjacent nodes are nodes adjacent to the predetermined node and electrically connected to the predetermined node; All Lagrangian multipliers in the Lagrangian multiplier set of the adjacent nodes are replaced with the adjusted Lagrangian multipliers to obtain the adjusted Lagrangian multiplier set.

8. The method according to any one of claims 1 to 7, characterized in that The method further comprises: A loop step is performed to sequentially execute the first adjustment step, the determination step, and the second adjustment step a predetermined number of times.

9. A control device for a distribution network, characterized in that: include: an acquiring unit, configured to acquire, in an acquiring step, a voltage amplitude of a predetermined node of the distribution network and a current Lagrangian multiplier corresponding to the predetermined node, wherein the current Lagrangian multiplier corresponding to the predetermined node is a Lagrangian multiplier that satisfies an inequality constraint on the voltage amplitude, and the current Lagrangian multiplier includes a current upper limit Lagrangian multiplier and a current lower limit Lagrangian multiplier; a first adjustment unit, configured to adjust, in a first adjustment step, a current Lagrangian multiplier corresponding to the predetermined node based at least on a voltage amplitude of the predetermined node and a current Lagrangian multiplier corresponding to the predetermined node, to obtain an adjusted Lagrangian multiplier, wherein the distribution network includes a plurality of nodes, the predetermined node is a node including a photovoltaic power source among the plurality of nodes, and the adjusted Lagrangian multiplier includes an adjusted upper limit Lagrangian multiplier and an adjusted lower limit Lagrangian multiplier; a determining unit, configured to determine, in a determining step, a set of adjusted Lagrange multipliers based on the adjusted Lagrange multipliers; The second adjustment unit is used for the second adjustment step, adjusting the active power corresponding to the predetermined node at least according to the adjusted Lagrange multiplier set and the current active power corresponding to the predetermined node to obtain the adjusted active power, and adjusting the reactive power corresponding to the predetermined node at least according to the adjusted Lagrange multiplier set and the current reactive power corresponding to the predetermined node to obtain the adjusted reactive power.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 8.

11. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 8 through the computer program.

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