Alternating current and direct current hybrid power distribution network reconstruction method, device and equipment and storage medium
By screening and reconstructing the grid structure of the distribution network, the voltage limit and power reversal problems occurring after high permeability photovoltaic access in the distribution network are solved, which improves the photovoltaic absorption rate and reduces network losses.
Patent Information
- Application Number
- CN202510067924.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-16
- Publication Date
- 2025-04-11
AI Technical Summary
After high permeability photovoltaic access in the distribution network, problems such as node voltage exceeding the limit, power reversal, and increased network loss occur, threatening the safe and stable operation of the power grid and the quality of user power supply.
By obtaining the grid structure of M candidate distribution networks, the optimal grid structure of the distribution network is determined, and the structure is used for reconstruction, which increases the photovoltaic absorption rate and reduces network losses.
It improves the photovoltaic absorption rate in the distribution network, effectively reduces network losses, improves the photovoltaic absorption rate, and optimizes the operation of the distribution network.
Smart Images
Figure CN119813397A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of distribution network reconstruction, and in particular to a method, device, equipment and storage medium for reconstructing an AC / DC hybrid distribution network. Background Art
[0002] In the field of distribution network reconstruction technology, large-scale access of distributed photovoltaics to medium and low voltage distribution networks has become a future development trend. However, with the increase in the penetration rate of distributed photovoltaics (DG) in distribution networks, the problem of photovoltaics being difficult to absorb has become increasingly prominent, and distribution networks have seen phenomena such as node voltage exceeding limits, power reverse transmission, and increased network losses. This not only threatens the safe and stable operation of the power grid, but also causes a serious decline in the quality of power supply on the user side.
[0003] At present, the problem of high penetration rate photovoltaic is solved from the perspective of distribution network reconstruction. The main focus is to improve the solution algorithm of the reconstruction model, change the model solution objective function or model new energy, energy storage, etc. as active control units to participate in the reconstruction process of the distribution network. However, as the main means of regulation, the reconstruction of the distribution network reduces the loss of the network by changing the distribution of the distribution network flow, and indirectly improves the actual local absorption rate of photovoltaics, but the optimization effect is limited. Summary of the invention
[0004] The present application provides an AC / DC hybrid distribution network reconstruction method, device, equipment and storage medium, which can screen the grid structure of the distribution network to obtain the optimal grid structure of the distribution network, and use the optimal grid structure of the distribution network for reconstruction, which can further improve the photovoltaic absorption in the distribution network, effectively reduce network losses, and improve the photovoltaic absorption rate.
[0005] In order to achieve the above purpose, this application adopts the following technical solutions: In a first aspect, the present application provides a method for reconfiguring an AC / DC hybrid distribution network, the method comprising: Obtain the grid structures of M candidate distribution networks; Determine the grid structure of the mth distribution network from the grid structures of the candidate distribution networks, wherein the initial value of m is 1 and m is a positive integer; Obtaining the online active power of the photovoltaic power source of the nth node in the mth distribution network at the tth time, and the active power injected by the hth node in the mth distribution network at the tth time; Determine the mth photovoltaic effective absorption capacity of the grid structure of the mth distribution network according to the online active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, the active power injected by the hth node at the tth time in the mth distribution network, and the constraint conditions of the mth distribution network; Determine whether m is equal to M, and obtain a first determination result; If the first judgment result indicates that m is equal to M, the maximum effective photovoltaic absorption capacity is determined from the effective photovoltaic absorption capacity of the grid structures of the M distribution networks; The grid structure of the target distribution network corresponding to the maximum effective photovoltaic absorption capacity is reconstructed.
[0006] In some possible implementations, determining the mth photovoltaic effective absorption capacity of the grid structure of the mth distribution network according to the online active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, the active power injected by the hth node at the tth time in the mth distribution network, and the constraint conditions includes:
[0007] in, is the mth effective photovoltaic absorption capacity of the grid structure of the mth distribution network, To optimize the total duration, is the set of nodes connected to photovoltaic power generation in the mth distribution network, is the total number of network nodes in the mth distribution network, is the grid-connected active power of the PV power source of the nth node in the mth distribution network at the tth time, is the active power injected into the hth node at the tth time in the mth distribution network, is the optimization step size, n is a positive integer, and h is a positive integer.
[0008] In some possible implementations, the constraint condition of the mth distribution network includes:
[0009]
[0010]
[0011]
[0012]
[0013]
[0014] Among them, B represents the node set in the distribution network, E represents the branch set in the distribution network, T represents the transformer set in the distribution network, Representation Node Injecting active power, Representation Node Inject reactive power, The network topology undirected graph set representing the distribution network with node set B and branch set E, Representation Node All connected lower-level nodes, Representation Node All upper nodes connected, represents the branch at time t The active power, express Time Branch The reactive power of the load is negative and the power supply is positive. Branch ij represents the distribution line between node i and node j. Representation Node The ground susceptance value, Representation Node The voltage amplitude, Representation Node The voltage amplitude, Transformer branch , The transformation ratio, represents the active power of branch jk at time t, represents the reactive power of branch jk at time t, represents the reactance per unit length of branch ij, represents the resistance per unit length of branch ij, represents the line length of branch ij at time t, express The square of express The square of Indicates that nodes i and j are in the intersection of the branch set and the transformer set.
[0015] In some possible implementations, the method further includes: The grid structure of the candidate distribution network is determined by the state of the tie switches in the candidate distribution network.
[0016] In some possible implementations, the method further includes: If the first judgment result indicates that m is not equal to M, the m+1th photovoltaic effective absorption capacity of the grid structure of the m+1th distribution network is determined.
[0017] In a second aspect, the present application provides an AC / DC hybrid distribution network reconstruction device, the device comprising: An acquisition module is used to acquire the grid structures of M candidate distribution networks; determine the grid structure of the mth distribution network from the grid structures of the candidate distribution networks, wherein the initial value of m is 1 and m is a positive integer; acquire the online active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, and the active power injected by the hth node at the tth time in the mth distribution network; A determination module, for determining the mth effective photovoltaic absorption capacity of the grid structure of the mth distribution network according to the online active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, the active power injected by the hth node at the tth time in the mth distribution network, and the constraint condition of the mth distribution network; judging whether m is equal to M, and obtaining a first judgment result; if the first judgment result indicates that m is equal to M, determining the maximum effective photovoltaic absorption capacity from the photovoltaic effective absorption capacities of the grid structures of the M distribution networks; A reconstruction module is used to reconstruct the grid structure of the target distribution network corresponding to the maximum photovoltaic effective absorption capacity.
[0018] In a third aspect, the present application provides a computing device, including a memory and a processor; One or more computer programs are stored in the memory, and the one or more computer programs include instructions; when the instructions are executed by the processor, the computing device executes the method as described in any one of the first aspects.
[0019] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store a computer program, and the computer program is used to execute the method as described in any one of the first aspects.
[0020] It can be seen from the above technical solution that the present application has at least the following beneficial effects: In the present application, the grid structures of M candidate distribution networks are obtained, the grid structure of the m-th distribution network is determined from the grid structures of the M candidate distribution networks, the online active power of the photovoltaic power source of the n-th node in the m-th distribution network at the t-th time and the active power injected by the h-th node in the m-th distribution network at the t-th time are obtained, and the m-th photovoltaic effective absorption capacity of the grid structure of the m-th distribution network is determined according to the online active power of the photovoltaic power source of the n-th node in the m-th distribution network at the t-th time, the active power injected by the h-th node in the m-th distribution network at the t-th time and the constraints, the photovoltaic effective absorption capacity of the M candidate distribution networks is calculated according to the above steps, and then the maximum photovoltaic effective absorption capacity is determined from the photovoltaic effective absorption capacity of the grid structures of the M distribution networks, and the grid structure of the target distribution network corresponding to the maximum photovoltaic effective absorption capacity is reconstructed. It can be seen that this application screens the grid structure of the distribution network by adding constraints, obtains the optimal grid structure of the distribution network, and uses the optimal grid structure of the distribution network for reconstruction, which can further improve the photovoltaic absorption in the distribution network, effectively reduce network losses, and improve the photovoltaic absorption rate.
[0021] It should be understood that the description of technical features, technical solutions, beneficial effects or similar language in this application does not imply that all features and advantages can be realized in any single embodiment. On the contrary, it is understood that the description of features or beneficial effects means that specific technical features, technical solutions or beneficial effects are included in at least one embodiment. Therefore, the description of technical features, technical solutions or beneficial effects in this specification does not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions and beneficial effects described in the present embodiment can also be combined in any appropriate manner. Those skilled in the art will understand that the embodiment can be realized without one or more specific technical features, technical solutions or beneficial effects of a specific embodiment. In other embodiments, additional technical features and beneficial effects can also be identified in a specific embodiment that does not embody all embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 A flowchart of a method for reconfiguring an AC / DC hybrid distribution network provided in an embodiment of the present application; Figure 2 A schematic diagram of an AC / DC hybrid distribution network reconstruction device provided in an embodiment of the present application; Figure 3 A schematic diagram of a computing device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0023] The terms "first", "second", "third", etc. in the specification of this application and the accompanying drawings are used to distinguish different objects rather than to limit a specific order.
[0024] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.
[0025] In order to make the description of the following embodiments clear and concise, a brief introduction to the related technology is first given: The distribution network refers to an electric power network that receives electric energy from the transmission network or regional power plants and distributes it locally or step by step according to the voltage to various users through distribution facilities. The distribution network is composed of overhead lines, cables, towers, distribution transformers, disconnectors, reactive power compensators and some ancillary facilities, and plays an important role in distributing electric energy in the power grid. The distribution network generally adopts a closed-loop design and open-loop operation. Its structure is radial, with multiple voltage levels, complex network structure, various equipment types, many and wide operating points, and relatively poor safety environment. The grid structure of the distribution network, also known as the topological structure of the distribution network, refers to the electrical connection method of the power supply lines from the power source to each power load and its main electrical components in the distribution network.
[0026] At present, with the increase in the penetration rate of distributed photovoltaics in the distribution network, the problem of photovoltaics being difficult to absorb has become increasingly prominent, and the distribution network has seen phenomena such as node voltage exceeding the limit, power reverse transmission, and increased network loss. This not only threatens the safe and stable operation of the power grid, but also causes a serious decline in the quality of power supply on the user side. The existing solution to the problem of high-penetration photovoltaics is to improve the solution algorithm of the reconstruction model, change the model solution objective function, or model new energy, energy storage, etc. as active control units to participate in the reconstruction process of the distribution network.
[0027] However, as the main means of regulation, distribution network reconstruction reduces network losses by changing the distribution of distribution network currents and indirectly increases the actual local absorption rate of photovoltaic power, but the optimization effect is limited.
[0028] In view of this, an embodiment of the present application provides a method for reconstructing an AC / DC hybrid distribution network, which can be applied to a processing device, which can be a terminal or a server. Terminals include but are not limited to smartphones, tablet computers, laptops, personal digital assistants, or smart wearable devices. The server can be a cloud server, such as a central server in a central cloud computing cluster, or an edge server in an edge cloud computing cluster. Of course, the server can also be a server in a local data center. A local data center refers to a data center directly controlled by a user. In the present application, the grid structures of M candidate distribution networks are obtained, the grid structure of the m-th distribution network is determined from the grid structures of the M candidate distribution networks, the online active power of the photovoltaic power source of the n-th node in the m-th distribution network at the t-th time and the active power injected by the h-th node in the m-th distribution network at the t-th time are obtained, and the m-th photovoltaic effective absorption capacity of the grid structure of the m-th distribution network is determined according to the online active power of the photovoltaic power source of the n-th node in the m-th distribution network at the t-th time, the active power injected by the h-th node in the m-th distribution network at the t-th time and the constraints, the photovoltaic effective absorption capacity of the M candidate distribution networks is calculated according to the above steps, and then the maximum photovoltaic effective absorption capacity is determined from the photovoltaic effective absorption capacity of the grid structures of the M distribution networks, and the grid structure of the target distribution network corresponding to the maximum photovoltaic effective absorption capacity is reconstructed. It can be seen that this application screens the grid structure of the distribution network by adding constraints, obtains the optimal grid structure of the distribution network, and uses the optimal grid structure of the distribution network for reconstruction, which can further improve the photovoltaic absorption in the distribution network, effectively reduce network losses, and improve the photovoltaic absorption rate.
[0029] In order to make the technical solution of the present application clearer and easier to understand, the following describes an AC / DC hybrid distribution network reconstruction method provided by the present application in conjunction with the accompanying drawings. Figure 1 As shown, the figure is a flow chart of a method for reconfiguring an AC / DC hybrid distribution network provided in an embodiment of the present application. The method for reconfiguring an AC / DC hybrid distribution network includes: S101. A processing device obtains grid structures of M candidate distribution networks.
[0030] In order to increase the effective photovoltaic absorption capacity, the present application selects M candidate distribution network grid structures, wherein the grid structures of the candidate distribution networks are determined by the state of the interconnecting switches.
[0031] In some embodiments, there are 8 tie switches in the distribution network, and the grid structure of the distribution network will have kind.
[0032] S102: The processing device determines a grid structure of an mth distribution network from grid structures of candidate distribution networks.
[0033] In order to make the present application clearer, the processing device selects a grid structure of a distribution network from the grid structures of M candidate distribution networks to determine the grid structure of the distribution network, that is, the grid structure of the mth distribution network, where the initial value of m is 1 and m is a positive integer.
[0034] Among them, in the embodiment of the present application, only one method for calculating the grid structure of the distribution network is provided. In practical applications, the grid structures of all distribution networks can be calculated by this method.
[0035] S103: The processing device obtains the online active power of the photovoltaic power source of the nth node in the mth distribution network at the tth time, and the active power injected by the hth node in the mth distribution network at the tth time.
[0036] S104. The processing device determines the mth photovoltaic effective absorption capacity of the grid structure of the mth distribution network according to the online active power of the photovoltaic power source of the nth node in the mth distribution network at the tth time, the active power injected by the hth node in the mth distribution network at the tth time, and the constraints.
[0037] The processing device calculates the effective photovoltaic absorption capacity of the grid structure of the mth distribution network based on the objective function shown in the following formula (1) and according to the grid-connected active power of the photovoltaic power source of the nth node in the mth distribution network at the tth time and the active power injected by the hth node in the mth distribution network at the tth time.
[0038]
[0039] in, is the mth effective photovoltaic absorption capacity of the grid structure of the mth distribution network, To optimize the total duration, is the set of nodes connected to photovoltaic power generation in the mth distribution network, is the total number of network nodes in the mth distribution network, is the grid-connected active power of the PV power source of the nth node in the mth distribution network at the tth time, is the active power injected into the hth node at the tth time in the mth distribution network, is the optimization step size, n is a positive integer, and h is a positive integer.
[0040] In optimization problems, the objective function is usually expressed as a function that needs to be maximized or minimized, while the constraints are the conditions that limit the values of decision variables. Constraints represent the actual physical, economic, social and other restrictions in the problem, and are usually expressed in the form of inequalities or equations. The purpose of adding constraints to the objective function is mainly reflected in the following aspects: 1. In the absence of constraints, the optimization problem may have an infinite number of solutions. Constraints define a clear and possible solution space by limiting the range of values of decision variables, thereby defining the feasible solution area of the problem. This makes the solution process more targeted and directional; 2. Constraints not only define feasible solutions, but also affect the selection of optimal solutions. By adding constraints, the solution space can be further narrowed, making the solution process more focused on solutions that meet specific needs. This helps to find the optimal solution that is more in line with the actual situation; 3. Many optimization problems involve multiple objectives, and there may be conflicts between these objectives. By adding constraints, a balance can be found between these objectives, and the optimization of other objectives can be achieved by limiting the extreme values of certain objectives, which helps to resolve conflicts and contradictions in multi-objective optimization problems.
[0041] Among them, the constraint conditions are set based on the objective function of the effective photovoltaic absorption capacity, and the constraint conditions are shown in formulas (2)-(7): (2) (3) (4) (5) (6) (7) Among them, B represents the node set in the distribution network, E represents the branch set in the distribution network, T represents the transformer set in the distribution network, Representation Node Injecting active power, Representation Node Inject reactive power, The network topology undirected graph set representing the distribution network with node set B and branch set E, Representation Node All connected lower-level nodes, Representation Node All upper nodes connected, represents the branch at time t The active power, express Time Branch The reactive power of the load is negative and the power supply is positive. Branch ij represents the distribution line between node i and node j. Representation Node The ground susceptance value, Representation Node The voltage amplitude, Representation Node The voltage amplitude, Transformer branch , The transformation ratio, represents the active power of branch jk at time t, represents the reactive power of branch jk at time t, represents the reactance per unit length of branch ij, represents the resistance per unit length of branch ij, represents the line length of branch ij at time t, express The square of express The square of Indicates that nodes i and j are in the intersection of the branch set and the transformer set.
[0042] S105. The processing device determines the maximum effective photovoltaic absorption capacity from the effective photovoltaic absorption capacities of the grid structures of the M distribution networks.
[0043] Through the above steps, the effective photovoltaic absorption capacity of the grid structure of the mth distribution network can be obtained. Therefore, the effective photovoltaic absorption capacity of the grid structure of M distribution networks is obtained, and the effective photovoltaic absorption capacity of the grid structure of the M distribution networks is compared. The effective photovoltaic absorption capacity of the grid structure of the distribution network with the largest value is selected and determined as the maximum effective photovoltaic absorption capacity.
[0044] The specific method for judging whether the effective photovoltaic absorption capacity of the grid structure of M distribution networks is obtained is as follows: Determine whether m is equal to M, and obtain a first determination result; If the first judgment result indicates that m is equal to M, the maximum effective photovoltaic absorption capacity is determined from the effective photovoltaic absorption capacity of the grid structures of the M distribution networks; If the first judgment result indicates that m is not equal to M, the m+1th photovoltaic effective absorption capacity of the grid structure of the m+1th distribution network is determined.
[0045] S106. The processing device reconstructs the grid structure of the target distribution network according to the maximum effective photovoltaic absorption capacity.
[0046] The processing device determines the grid structure of the corresponding target distribution network according to the maximum effective photovoltaic absorption capacity, and reconstructs the distribution network according to the grid structure of the target distribution network.
[0047] Based on the above content, the processing device calculates the effective photovoltaic absorption capacity of the M candidate distribution networks according to the above steps, and then determines the maximum effective photovoltaic absorption capacity from the effective photovoltaic absorption capacity of the grid structure of the M distribution networks, and reconstructs the grid structure of the target distribution network corresponding to the maximum effective photovoltaic absorption capacity. It can be seen that this application adds constraints to screen the grid structure of the distribution network, obtains the optimal grid structure of the distribution network, and reconstructs using the optimal grid structure of the distribution network, which can further improve the absorption of photovoltaic power in the distribution network, effectively reduce network losses, and improve the photovoltaic absorption rate.
[0048] Combination of the above Figure 1 A method for reconfiguring an AC / DC hybrid distribution network provided in an embodiment of the present application is introduced in detail. The following will introduce the device and equipment provided in the embodiment of the present application in conjunction with the accompanying drawings.
[0049] The present application also provides an AC / DC hybrid power distribution network reconstruction device, such as Figure 2 As shown, the figure is a schematic diagram of an AC / DC hybrid distribution network reconstruction device provided in an embodiment of the present application, the device includes: an acquisition module 201, a determination module 202 and a reconstruction module 203; The acquisition module 201 is used to acquire the grid structures of M candidate distribution networks; determine the grid structure of the mth distribution network from the grid structures of the candidate distribution networks, where the initial value of m is 1 and m is a positive integer; acquire the grid-connected active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, and the active power injected by the hth node at the tth time in the mth distribution network; The determination module 202 is used to determine the mth effective photovoltaic absorption capacity of the grid structure of the mth distribution network according to the online active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, the active power injected by the hth node at the tth time in the mth distribution network, and the constraint condition of the mth distribution network; determine whether m is equal to M, and obtain a first judgment result; if the first judgment result indicates that m is equal to M, determine the maximum effective photovoltaic absorption capacity from the photovoltaic effective absorption capacities of the grid structures of the M distribution networks; The reconstruction module 203 is used to reconstruct the grid structure of the target distribution network corresponding to the maximum effective photovoltaic absorption capacity.
[0050] In some possible implementations, the determination module 202 is specifically used to determine the mth photovoltaic effective absorption capacity of the grid structure of the mth distribution network according to the online active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, the active power injected by the hth node at the tth time in the mth distribution network, and the constraint conditions, including:
[0051] in, is the mth effective photovoltaic absorption capacity of the grid structure of the mth distribution network, To optimize the total duration, is the set of nodes connected to photovoltaic power generation in the mth distribution network, is the total number of network nodes in the mth distribution network, is the grid-connected active power of the PV power source of the nth node in the mth distribution network at the tth time, is the active power injected into the hth node at the tth time in the mth distribution network, is the optimization step size, n is a positive integer, and h is a positive integer.
[0052] In some possible implementations, the determining module 202 is specifically configured to determine the constraint condition of the mth distribution network, including:
[0053]
[0054]
[0055]
[0056]
[0057]
[0058] Among them, B represents the node set in the distribution network, E represents the branch set in the distribution network, T represents the transformer set in the distribution network, Representation Node Injecting active power, Representation Node Inject reactive power, The network topology undirected graph set representing the distribution network with node set B and branch set E, Representation Node All connected lower-level nodes, Representation Node All upper nodes connected, represents the branch at time t The active power, express Time Branch The reactive power of the load is negative and the power supply is positive. Branch ij represents the distribution line between node i and node j. Representation Node The ground susceptance value, Representation Node The voltage amplitude, Representation Node The voltage amplitude, Transformer branch , The transformation ratio, represents the active power of branch jk at time t, represents the reactive power of branch jk at time t, represents the reactance per unit length of branch ij, represents the resistance per unit length of branch ij, represents the line length of branch ij at time t, express The square of express The square of Indicates that nodes i and j are in the intersection of the branch set and the transformer set.
[0059] In some possible implementations, the grid structure of the candidate distribution network is determined by the state of tie switches in the candidate distribution network.
[0060] In some possible implementations, the device further includes: A judgment module is used to determine the m+1th photovoltaic effective absorption capacity of the grid structure of the m+1th distribution network if the first judgment result indicates that m is not equal to M.
[0061] The present application also provides a computing device. Figure 3 As shown, this figure is a schematic diagram of a computing device provided in an embodiment of the present application, and the computing device 400 includes a bus 401, a processor 402, a communication interface 403 and a memory 404. The processor 402, the memory 404 and the communication interface 403 communicate with each other through the bus 401.
[0062] The bus 401 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.
[0063] The processor 402 may be any one or more of a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor (MP), or a digital signal processor (DSP).
[0064] The communication interface 403 is used for external communication. For example, when the computing device is a first switch, the communication interface 403 can be used for the first switch to communicate with the first user terminal, or for the first switch to communicate with the second switch.
[0065] The memory 404 may include a volatile memory, such as a random access memory (RAM). The memory 404 may also include a non-volatile memory, such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD), or a solid state drive (SSD).
[0066] The memory 404 stores executable codes, and the processor 402 executes the executable codes to perform the aforementioned AC / DC hybrid distribution network reconstruction method.
[0067] Specifically, in implementing Figure 2 In the case of the embodiment shown, and Figure 2 When each module or unit of the AC / DC hybrid power distribution network reconstruction device described in the embodiment is implemented by software, the execution Figure 2 The software or program code required for the functions of each module / unit in the system may be partially or completely stored in the memory 404. The processor 402 executes the program code corresponding to each unit stored in the memory 404 to perform the aforementioned AC / DC hybrid distribution network reconstruction method.
[0068] The embodiment of the present application also provides a computer-readable storage medium. The computer-readable storage medium can be any available medium that can be stored by a computing device or a data storage device such as a data center containing one or more available media. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid-state hard disk). The computer-readable storage medium includes instructions that instruct the computing device to execute the above-mentioned method for reconfiguring an AC / DC hybrid distribution network.
[0069] The embodiment of the present application further provides a computer program product, which includes one or more computer instructions. When the computer instructions are loaded and executed on a computing device, the process or function described in the embodiment of the present application is generated in whole or in part.
[0070] The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer or data center to another website, computer or data center via wired (e.g., coaxial cable, optical fiber) or wireless (e.g., infrared, wireless, microwave, etc.) means.
[0071] When the computer program product is executed by a computer, the computer executes any of the aforementioned methods for reconfiguring an AC / DC hybrid distribution network. The computer program product may be a software installation package, and when any of the aforementioned methods for reconfiguring an AC / DC hybrid distribution network is required, the computer program product may be downloaded and executed on a computer.
[0072] The descriptions of the processes or structures corresponding to the above-mentioned figures have different emphases. For parts that are not described in detail in a certain process or structure, please refer to the relevant descriptions of other processes or structures.
[0073] The above description is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application should be included in the protection scope of the present application.
Claims
1. A method for reconfiguring an AC / DC hybrid distribution network, characterized in that: The method comprises: Obtain the grid structures of M candidate distribution networks; Determine the grid structure of the mth distribution network from the grid structures of the candidate distribution networks, wherein the initial value of m is 1 and m is a positive integer; Obtaining the online active power of the photovoltaic power source of the nth node in the mth distribution network at the tth time, and the active power injected by the hth node in the mth distribution network at the tth time; Determine the mth photovoltaic effective absorption capacity of the grid structure of the mth distribution network according to the online active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, the active power injected by the hth node at the tth time in the mth distribution network, and the constraint conditions of the mth distribution network; Determine whether m is equal to M, and obtain a first determination result; If the first judgment result indicates that m is equal to M, the maximum effective photovoltaic absorption capacity is determined from the effective photovoltaic absorption capacity of the grid structures of the M distribution networks; The grid structure of the target distribution network corresponding to the maximum effective photovoltaic absorption capacity is reconstructed.
2. The method according to claim 1, characterized in that The method of determining the mth photovoltaic effective absorption capacity of the grid structure of the mth distribution network according to the online active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, the active power injected by the hth node at the tth time in the mth distribution network, and the constraint conditions includes: in, is the mth effective photovoltaic absorption capacity of the grid structure of the mth distribution network, To optimize the total duration, is the set of nodes connected to photovoltaic power generation in the mth distribution network, is the total number of network nodes in the mth distribution network, is the grid-connected active power of the PV power source of the nth node in the mth distribution network at the tth time, is the active power injected into the hth node at the tth time in the mth distribution network, is the optimization step size, n is a positive integer, and h is a positive integer.
3. The method according to claim 1, characterized in that The constraints of the m-th distribution network include: Among them, B represents the node set in the distribution network, E represents the branch set in the distribution network, T represents the transformer set in the distribution network, Representation Node Injecting active power, Representation Node Inject reactive power, The network topology undirected graph set representing the distribution network with node set B and branch set E, Representation Node All connected lower-level nodes, Representation Node All upper nodes connected, represents the branch at time t The active power, express Time Branch The reactive power of the load is negative and the power supply is positive. Branch ij represents the distribution line between node i and node j. Representation Node The ground susceptance value, Representation Node The voltage amplitude, Representation Node The voltage amplitude, Transformer branch , The transformation ratio, represents the active power of branch jk at time t, represents the reactive power of branch jk at time t, represents the reactance per unit length of branch ij, represents the resistance per unit length of branch ij, represents the line length of branch ij at time t, express The square of express The square of Indicates that nodes i and j are in the intersection of the branch set and the transformer set.
4. The method according to claim 1, characterized in that The method further comprises: The grid structure of the candidate distribution network is determined by the state of the tie switches in the candidate distribution network.
5. The method according to claim 1, characterized in that The method further comprises: If the first judgment result indicates that m is not equal to M, the m+1th photovoltaic effective absorption capacity of the grid structure of the m+1th distribution network is determined.
6. An AC / DC hybrid distribution network reconstruction device, characterized in that: The device comprises: An acquisition module is used to acquire the grid structures of M candidate distribution networks; determine the grid structure of the mth distribution network from the grid structures of the candidate distribution networks, wherein the initial value of m is 1 and m is a positive integer; acquire the online active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, and the active power injected by the hth node at the tth time in the mth distribution network; A determination module, for determining the mth effective photovoltaic absorption capacity of the grid structure of the mth distribution network according to the online active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, the active power injected by the hth node at the tth time in the mth distribution network, and the constraint condition of the mth distribution network; judging whether m is equal to M, and obtaining a first judgment result; if the first judgment result indicates that m is equal to M, determining the maximum effective photovoltaic absorption capacity from the photovoltaic effective absorption capacities of the grid structures of the M distribution networks; A reconstruction module is used to reconstruct the grid structure of the target distribution network corresponding to the maximum photovoltaic effective absorption capacity.
7. The device according to claim 6, characterized in that The method of determining the mth photovoltaic effective absorption capacity of the grid structure of the mth distribution network according to the online active power of the photovoltaic power source of the nth node at the tth time in the mth distribution network, the active power injected by the hth node at the tth time in the mth distribution network, and the constraint conditions includes: in, is the mth effective photovoltaic absorption capacity of the grid structure of the mth distribution network, To optimize the total duration, is the set of nodes connected to photovoltaic power generation in the mth distribution network, is the total number of network nodes in the mth distribution network, is the grid-connected active power of the PV power source of the nth node in the mth distribution network at the tth time, is the active power injected into the hth node at the tth time in the mth distribution network, is the optimization step size, n is a positive integer, and h is a positive integer.
8. The device according to claim 6, characterized in that The constraints of the m-th distribution network include: Among them, B represents the node set in the distribution network, E represents the branch set in the distribution network, T represents the transformer set in the distribution network, Representation Node Injecting active power, Representation Node Inject reactive power, The network topology undirected graph set representing the distribution network with node set B and branch set E, Representation Node All connected lower-level nodes, Representation Node All upper nodes connected, represents the branch at time t The active power, express Time Branch The reactive power of the load is negative and the power supply is positive. Branch ij represents the distribution line between node i and node j. Representation Node The ground susceptance value, Representation Node The voltage amplitude, Representation Node The voltage amplitude, Transformer branch , The transformation ratio, represents the active power of branch jk at time t, represents the reactive power of branch jk at time t, represents the reactance per unit length of branch ij, represents the resistance per unit length of branch ij, represents the line length of branch ij at time t, express The square of express The square of Indicates that nodes i and j are in the intersection of the branch set and the transformer set.
9. A computing device, characterized in that including memory and processor; One or more computer programs are stored in the memory, and the one or more computer programs include instructions; when the instructions are executed by the processor, the computing device executes the method as claimed in any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store a computer program, and the computer program is used to execute the method according to any one of claims 1 to 5.