Power supply recovery method, device and equipment based on energy storage type intelligent soft switch and storage medium

Abstract

The invention belongs to the field of power distribution networks, and particularly relates to a power supply recovery method, device and equipment based on an energy storage type intelligent soft switch, and a storage medium, and the method comprises the steps: obtaining the load data of each node of a power distribution network and the power data between the nodes, and enabling the load data to comprise the active load demands and value coefficients of the corresponding nodes at the current moment; the electric data comprises a current value and a resistance value of a line between different nodes at the current moment; inputting the load data and the power data into a pre-established power supply recovery model, wherein a target function of the power supply recovery model is established by taking the minimum loss degree after the power distribution network fails as a target; and performing power transmission on the power distribution network according to output of the power supply recovery model. In the fault stage of the power distribution network, power transmission can be performed on the power distribution network through output of the power supply recovery model, efficient load transfer is realized, the recovery capability of the load of the power distribution network under the fault condition is improved, and important load power supply is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the field of power distribution networks and relates to a power supply restoration method, and in particular to a power supply restoration method, device, equipment and storage medium based on an energy storage type intelligent soft switch. Background Art

[0002] Under the new power system, the safe operation of the distribution network is affected by uncertain events such as extreme natural disasters and network data attacks, which will cause chain failures and losses to the distribution network. Taking measures such as on-site support of distributed power sources or load transfer can effectively improve the distribution network's ability to cope with such extreme events. However, when the existing distributed power sources are connected to the local distribution network nearby to participate in emergency power supply restoration, their output has large volatility and randomness. Connecting to the distribution network will bring problems such as voltage instability or even over-limit, low absorption rate, and bidirectional flow of power to the system.

[0003] In the related technology, the disconnection of the interconnecting switches and the section switches is mainly adjusted to change the topology structure through island division and network reconstruction, thereby alleviating the degree of loss of local important loads caused by the fault. However, this method only changes the power supply restoration path and cannot provide sufficient active support for the power-off load. Summary of the invention

[0004] In view of this, the present invention discloses a power supply recovery method, device, equipment and storage medium based on an energy storage type intelligent soft switch, which can solve the deficiencies existing in the related art.

[0005] To achieve the above purpose, the present invention discloses the following technical solutions: According to a first aspect of the present invention, a power supply restoration method based on an energy storage type intelligent soft switch is proposed, the method comprising: Obtaining load data of each node of the distribution network and electrical data between nodes, wherein the load data includes active load demand and value coefficient of the corresponding node at the current moment, and the electrical data includes current value and resistance value of the line between different nodes at the current moment; Input the load data and power data into a pre-established power supply restoration model, wherein the objective function of the power supply restoration model is established with the goal of minimizing the degree of loss after a distribution network fault, wherein the degree of loss after a fault includes the degree of load recovery of each node in the distribution network and the line loss between the nodes, wherein the degree of load recovery is the product of the active load demand and the value coefficient, and the line loss is the product of the square of the current value and the resistance value; Power is transmitted to the power distribution network according to an output of the power restoration model.

[0006] According to a second aspect of the present invention, a power supply recovery device based on an energy storage type intelligent soft switch is proposed, the device comprising: Acquisition unit: acquires load data of each node of the distribution network and electrical data between nodes, wherein the load data includes active load demand and value coefficient of the corresponding node at the current moment, and the electrical data includes current value and resistance value of the line between different nodes at the current moment; Input unit: input the load data and power data into a pre-established power supply restoration model, wherein the objective function of the power supply restoration model is established with the goal of minimizing the degree of loss after a distribution network fault, wherein the degree of loss after a fault includes the degree of load recovery of each node in the distribution network and the line loss between the nodes, wherein the degree of load recovery is the product of the active load demand and the value coefficient, and the line loss is the product of the square of the current value and the resistance value; Transmission unit: transmits power to the distribution network according to the output of the power supply restoration model.

[0007] According to a third aspect of the present invention, an electronic device is provided, comprising: processor; a memory for storing processor-executable instructions; The processor implements the steps of the method described in the first aspect by running the executable instructions.

[0008] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, on which computer instructions are stored, and when the instructions are executed by a processor, the steps of the method described in the first aspect are implemented.

[0009] It can be seen from the above technical solutions that the power supply restoration method based on the energy storage type intelligent soft switch disclosed in the present invention combines network reconstruction and island division means to construct a power supply restoration model including energy storage type intelligent soft switches and distributed power sources, and takes the load loss degree of the distribution network nodes and the line loss between the nodes as the objective function, and obtains the optimal operation strategy of the energy storage type intelligent soft switch and the network recovery architecture, so that in the distribution network failure stage, power can be transmitted to the distribution network through the output of the power supply recovery model, so as to realize efficient load transfer, improve the recovery capability of the distribution network load under fault conditions, and ensure the power supply of important loads. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a flow chart of a power supply recovery method based on an energy storage type intelligent soft switch provided by an exemplary embodiment.

[0011] Figure 2 It is a schematic structural diagram of a device provided by an exemplary embodiment.

[0012] Figure 3 It is a block diagram of a power supply recovery device based on an energy storage type intelligent soft switch provided by an exemplary embodiment. DETAILED DESCRIPTION

[0013] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with one or more embodiments of the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of one or more embodiments of the present invention as detailed in the appended claims.

[0014] It should be noted that: in other embodiments, the steps of the corresponding method are not necessarily performed in the order shown and described in the present invention. In some other embodiments, the steps included in the method may be more or less than those described in the present invention. In addition, a single step described in the present invention may be decomposed into multiple steps for description in other embodiments; and multiple steps described in the present invention may be combined into a single step for description in other embodiments.

[0015] To further illustrate the present invention, the following examples are provided: Under the new power system, the safe operation of the distribution network is affected by uncertain events such as extreme natural disasters and network data attacks, which will cause chain failures and losses to the distribution network. Taking measures such as on-site support of distributed power sources or load transfer can effectively improve the distribution network's ability to cope with such extreme events. However, when the existing distributed power sources are connected to the local distribution network nearby to participate in emergency power supply restoration, their output has large volatility and randomness. Connecting to the distribution network will bring problems such as voltage instability or even over-limit, low absorption rate, and bidirectional flow of power to the system.

[0016] In the related technology, the disconnection of the interconnecting switches and the section switches is mainly adjusted to change the topology structure through island division and network reconstruction, thereby alleviating the degree of loss of local important loads caused by the fault. However, this method only changes the power supply restoration path and cannot provide sufficient active support for the power-off load.

[0017] In order to solve the deficiencies existing in the related art, the present invention proposes a power supply recovery method based on an energy storage type intelligent soft switch.

[0018] Figure 1 is a flow chart of a power supply recovery method based on an energy storage type intelligent soft switch provided by an exemplary embodiment, such as Figure 1 As shown, the method may include the following steps: Step 102, obtaining load data of each node of the distribution network and electrical data between nodes, wherein the load data includes active load demand and value coefficient of the corresponding node at the current moment, and the electrical data includes current value and resistance value of the line between different nodes at the current moment.

[0019] Step 104, input the load data and power data into a pre-established power supply recovery model, the objective function of the power supply recovery model is established with the goal of minimizing the degree of loss after a distribution network fault, the degree of loss after a fault includes the load recovery degree of each node in the distribution network and the line loss between the nodes, the load recovery degree is the product of the active load demand and the value coefficient, and the line loss is the product of the square of the current value and the resistance value.

[0020] Energy storage integrated soft open point (E-SOP) is a power electronic device that connects the DC converter of the energy storage system to the power electronic part of the intelligent soft switch, replacing the traditional contact switch to access the distribution network. It has the advantages of both energy storage system and intelligent soft switch, and can effectively suppress the output fluctuations brought by distributed power sources to the system, while regulating the distribution of the power flow of the distribution network in time and space, reducing network losses and governing voltage over-limit. Therefore, the present invention combines network reconstruction and island partitioning means to construct a fault power supply recovery model containing E-SOP and distributed power sources, and takes the load loss degree of the distribution network node and the line loss between nodes as the objective function to obtain the optimal operation strategy and network recovery architecture of E-SOP. At the same time, the distribution network is transmitted power by E-SOP in the fault stage, and the load is efficiently transferred to the distribution network, the recovery ability of the distribution network load under fault conditions is improved, and the power supply of important loads is guaranteed.

[0021] In one embodiment, the mathematical model of the power supply recovery model includes an SOP model and an ESS model; wherein the SOP model includes: E-SOP power balance constraint, capacity constraint, and converter loss constraint; the ESS model includes: energy storage charging identification constraint, charging and discharging power upper limit constraint, power conservation constraint, and charge state constraint.

[0022] The smart soft switch includes two voltage source converters (VSCs). VSCs can achieve efficient control and regulation of electric energy during the AC-DC-AC conversion process. Voltage source converters can not only improve the quality of electric energy, but also effectively reduce network losses and improve system reliability. In the distribution network, by controlling the converters at both ends of the smart soft switch, the charging and discharging state of the energy storage system can be controlled, thereby coping with transient fluctuations in wind and solar power generation and improving the voltage level of the distribution network.

[0023] The constraints of the SOP model are as follows:

[0024]

[0025]

[0026]

[0027]

[0028]

[0029] in, and They represent the active power injected into the distribution network nodes i and j by the two VSCs of energy storage intelligent soft switches at time t, is the SOP converter loss at the connection nodes i and j; is the converter loss connecting node i, is the converter loss connecting node j, is the loss coefficient, and They represent the reactive power injected into the distribution network nodes i and j by the two VSCs with energy storage intelligent soft switches at time t; is the configured capacity of the E-SOP at the line between node i and node j, which is used to represent the capacity upper limit constraint of the E-SOP.

[0030] The constraints of the ESS model are as follows:

[0031]

[0032]

[0033]

[0034]

[0035]

[0036] in, and They are the charge and discharge power identifiers of the energy storage system in E-SOP, which are 0-1 variables; and The charging and discharging power of the energy storage at time t respectively; is the power of the energy storage system at time t, and are the charging and discharging efficiency of the energy storage system respectively; is the energy storage capacity, and are the upper and lower limits of the state of charge respectively; It is used to ensure that the power level of the energy storage system is consistent before and after the operation day.

[0037] In one embodiment, the calculation formula of the power supply restoration model for calculating the post-fault loss degree is:

[0038]

[0039]

[0040] in, is the load recovery degree, is the line loss, is the active load demand of node i in the distribution network at time t, is the value coefficient of node i after failure loss in the distribution network, is the current value on line ij at time t, is the resistance value on line ij.

[0041] The present invention considers combining network reconstruction and E-SOP to restore power supply after a fault. Since the distribution network contains controllable power supplies and distributed power supplies, when the distribution network topology is reconstructed, isolated islands may support local power supply to loads. Therefore, it is necessary to keep the network radial before and after the fault occurs. The present invention uses a single commodity flow method to construct a virtual network for constraints. The specific constraints are as follows:

[0042]

[0043]

[0044]

[0045]

[0046]

[0047] in, and is the virtual power flow in the virtual network, Is the "source" in the virtual network. is a 0-1 variable, indicating whether the line ij between node i and node j is connected or disconnected. When it is 1, it means that the line ij is connected, and when it is 0, it means that the line is disconnected; M is a large constant; and They represent the number of distribution network nodes and the number of distributed generation sources respectively.

[0048] The distribution network power supply recovery operation model including distributed generation and E-SOP includes power flow constraints, load loss constraints, power output constraints, system safety constraints, and other E-SOP constraints. The details are as follows: The power flow constraint of the distribution network can be expressed as:

[0049]

[0050]

[0051]

[0052]

[0053] in, represents the set of branch child nodes in the distribution network with node j as the parent node, represents the set of parent nodes of branches in the distribution network with node j as child node; and are the active and reactive power transmitted on line ij respectively; and They are the interactive active and reactive power of the root node through the transformer and the distribution network respectively; is the reactive power demand of the load at node j at time t. To provide distributed power generation, and are the normal active and reactive load demands at node j at time t respectively; and are the voltage values ​​of nodes i and j respectively, is the load loss rate at node j; is the number of network nodes, and T is the running time.

[0054] The load loss constraint of the distribution network under fault can be expressed as:

[0055] The power output constraint can be expressed as:

[0056]

[0057] in, and The upper and lower limits of the root node power output, Contribute to the prediction of distributed power generation.

[0058] The system safety constraints can be expressed as:

[0059]

[0060] The remaining operation constraints of E-SOP can be expressed as:

[0061]

[0062] in, and Respectively represent the upper and lower limits of reactive power of E-SOP; is the lowest value of the voltage per unit value. This formula represents the voltage constraint of the node on the fault side of the E-SOP during a fault.

[0063] In one embodiment, the mathematical model of the power restoration model is relaxed based on a second-order cone algorithm.

[0064] The aforementioned mathematical model is essentially a mixed integer nonlinear optimization problem, and it is very difficult to solve it directly. It is often necessary to linearize the nonlinear part through some mathematical methods and use the second-order cone algorithm for relaxation.

[0065] First, the SOP model is converted into a second-order cone form as follows:

[0066]

[0067]

[0068]

[0069] Next, for the quadratic nonlinear part of the distribution network security constraints, = and Finally, the second-order cone relaxation of the distribution network power flow constraint is performed to obtain:

[0070] Finally, the distribution network fault power supply restoration model with distributed generation combined with E-SOP and network reconstruction can be expressed as the post-fault loss degree as mentioned above:

[0071] As well as the multiple constraints mentioned above (E-SOP operation constraints, network reconstruction constraints, power flow constraints, power output constraints, system safe operation constraints, and load loss constraints).

[0072] Step 106: Transmit power to the distribution network according to the output of the power restoration model.

[0073] In this embodiment, a power supply restoration model including energy storage type intelligent soft switch and distributed power source is constructed by combining network reconstruction and island division means, and the load loss degree of distribution network nodes and the line loss between nodes are used as objective functions to obtain the optimal operation strategy of energy storage type intelligent soft switch and network recovery architecture, so that in the distribution network failure stage, power can be transmitted to the distribution network through the output of the power supply restoration model, efficient load transfer can be achieved, the recovery capability of the distribution network load under fault conditions is improved, and the power supply of important loads is guaranteed.

[0074] The power supply recovery method based on energy storage type intelligent soft switch proposed by the present invention can combine E-SOP and network reconstruction. Compared with a single E-SOP and a traditional contact switch scheme and a single network reconstruction scheme, the power supply recovery rate of the load is improved. The addition of network reconstruction can make the distribution line flexible after the fault, minimizing the load loss. At the same time, E-SOP is used to provide active support for the system, effectively ensuring the power supply demand of the primary load during the whole period of the fault, and finally improving the load recovery capability of the distribution network under the fault condition, ensuring the emergency power supply of important loads.

[0075] Figure 2 is a schematic structural diagram of a device provided by an exemplary embodiment. Figure 2 At the hardware level, the device includes a processor 202, an internal bus 204, a network interface 206, a memory 208, and a non-volatile memory 210, and may also include hardware required for other functions. One or more embodiments of the present invention may be implemented based on software, such as the processor 202 reading the corresponding computer program from the non-volatile memory 210 into the memory 208 and then running it. Of course, in addition to the software implementation, one or more embodiments of the present invention do not exclude other implementations, such as logic devices or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but may also be hardware or logic devices.

[0076] Please refer to Figure 3 , a power supply recovery device based on energy storage type intelligent soft switch can be applied to Figure 3 In the device shown, to implement the technical solution of the present invention, the device may include: The acquisition unit 302 is used to acquire the load data of each node of the distribution network and the electrical data between the nodes, wherein the load data includes the active load demand and value coefficient of the corresponding node at the current moment, and the electrical data includes the current value and resistance value of the line between different nodes at the current moment; An input unit 304 is used to input the load data and the power data into a pre-established power supply restoration model, wherein the objective function of the power supply restoration model is established with the goal of minimizing the degree of loss after a distribution network fault. The degree of loss after a fault includes the degree of load recovery of each node in the distribution network and the line loss between the nodes. The degree of load recovery is the product of the active load demand and the value coefficient, and the line loss is the product of the square of the current value and the resistance value. The transmission unit 306 is used to transmit power to the distribution network according to the output of the power supply restoration model.

[0077] Optionally, the mathematical model of the power supply recovery model includes an SOP model and an ESS model; wherein the SOP model includes: E-SOP power balance constraint, capacity constraint, and converter loss constraint; the ESS model includes: energy storage charging identification constraint, charging and discharging power upper limit constraint, power conservation constraint, and charge state constraint.

[0078] Optionally, the mathematical model of the power restoration model is relaxed based on a second-order cone algorithm.

[0079] Optionally, the power supply restoration model calculates the post-fault loss degree using a formula as follows:

[0080]

[0081]

[0082] in, is the load recovery degree, is the line loss, is the active load demand of node i in the distribution network at time t, is the value coefficient of node i after failure loss in the distribution network, is the current value on line ij at time t, is the resistance value on line ij.

[0083] Optionally, the power supply restoration model uses a single commodity flow method to construct a virtual network for constraint, which is expressed as:

[0084]

[0085]

[0086]

[0087]

[0088]

[0089] in, and is the virtual power flow in the virtual network, is the "source" in the virtual network, is a 0-1 variable, indicating whether the line ij between node i and node j is connected or disconnected. When it is 1, it means that the line ij is connected, and when it is 0, it means that the line is disconnected. M is a large constant. and They represent the number of distribution network nodes and the number of distributed generation sources respectively.

[0090] Optionally, the power supply recovery operation model includes power flow constraints, load loss constraints, power output constraints, system safety constraints, and other E-SOP constraints.

[0091] Optional, The distribution network flow constraint is expressed as:

[0092]

[0093]

[0094]

[0095]

[0096] in, represents the set of branch child nodes in the distribution network with node j as the parent node, represents the set of parent nodes of branches in the distribution network with node j as child node; and are the active and reactive power transmitted on line ij respectively; and They are the interactive active and reactive power of the root node through the transformer and the distribution network respectively; is the reactive power demand of the load at node j at time t. To provide distributed power generation, and are the normal active and reactive load demands at node j at time t respectively; and are the voltage values ​​of nodes i and j respectively, is the load loss rate at node j; is the number of distribution network nodes, T is the running time; The load loss constraint is expressed as:

[0097] The power output constraint is expressed as:

[0098]

[0099] in, and The upper and lower limits of the root node power output, Contribute to the prediction of distributed power generation; The system safety constraints are expressed as:

[0100]

[0101] The remaining operating constraints of the E-SOP are expressed as:

[0102]

[0103] in, and Respectively represent the upper and lower limits of reactive power of E-SOP; is the lowest value of the voltage per unit value. This formula represents the voltage constraint of the node on the fault side of the E-SOP during a fault.

[0104] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer, which may be in the form of a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email transceiver, a game console, a tablet computer, a wearable device or a combination of any of these devices.

[0105] In a typical configuration, a computer includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0106] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0107] Computer readable media include permanent and non-permanent, removable and non-removable media that can store information by any method or technology. 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 memory (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 technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, disk storage, quantum memory, graphene-based storage media 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 in the present invention, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carriers.

[0108] With respect to the computer-readable medium (or computer-readable storage medium) as described above or in any other form, computer instructions may be stored thereon, and when the instructions are executed by a processor, one or more of the above-mentioned embodiments are implemented, thereby realizing the technical solution of the present invention.

[0109] The present invention also proposes a computer program, which, when executed by a processor, implements one or more of the above embodiments, thereby realizing the technical solution of the present invention. The computer program may be specifically recorded in the above or any other form of computer-readable medium, and the present invention is not limited thereto.

[0110] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0111] The above describes a specific embodiment of the present invention. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0112] The terms used in one or more embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of the present invention. The singular forms of "a", "said" and "the" used in one or more embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in the present invention refers to and includes any or all possible combinations of one or more associated listed items.

[0113] It should be understood that although the terms first, second, third, etc. may be used to describe various information in one or more embodiments of the present invention, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of the present invention, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0114] The above description is merely a preferred embodiment of one or more embodiments of the present invention and is not intended to limit one or more embodiments of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present invention shall be included in the scope of protection of one or more embodiments of the present invention.

Claims

1. A power supply recovery method based on energy storage type intelligent soft switch, characterized in that: The method comprises: Obtaining load data of each node of the distribution network and electrical data between nodes, wherein the load data includes active load demand and value coefficient of the corresponding node at the current moment, and the electrical data includes current value and resistance value of the line between different nodes at the current moment; Input the load data and power data into a pre-established power supply restoration model, wherein the objective function of the power supply restoration model is established with the goal of minimizing the degree of loss after a distribution network fault, wherein the degree of loss after a fault includes the degree of load recovery of each node in the distribution network and the line loss between the nodes, wherein the degree of load recovery is the product of the active load demand and the value coefficient, and the line loss is the product of the square of the current value and the resistance value; Power is transmitted to the power distribution network according to an output of the power restoration model.

2. The method according to claim 1, characterized in that The mathematical model of the power supply recovery model includes an SOP model and an ESS model; wherein the SOP model includes: E-SOP power balance constraint, capacity constraint, and converter loss constraint; the ESS model includes: energy storage charging identification constraint, charging and discharging power upper limit constraint, power conservation constraint, and charge state constraint.

3. The method according to claim 2, characterized in that The mathematical model of the power restoration model is relaxed based on a second-order cone algorithm.

4. The method according to claim 1, characterized in that: The calculation formula of the power supply restoration model for calculating the post-fault loss degree is: in, is the load recovery degree, is the line loss, is the active load demand of node i in the distribution network at time t, is the value coefficient of node i after failure loss in the distribution network, is the current value on line ij at time t, is the resistance value on line ij.

5. The method according to claim 4, characterized in that The power supply restoration model uses a single commodity flow method to construct a virtual network for constraints, which can be expressed as: in, and is the virtual power flow in the virtual network, is the "source" in the virtual network, is a 0-1 variable, indicating whether the line ij between node i and node j is connected or disconnected. When it is 1, it means that the line ij is connected, and when it is 0, it means that the line is disconnected. M is a large constant. and They represent the number of distribution network nodes and the number of distributed generation sources respectively.

6. The method according to claim 1, characterized in that The power supply recovery operation model includes power flow constraints, load loss constraints, power output constraints, system safety constraints, and other E-SOP constraints.

7. The method according to claim 6, characterized in that The distribution network flow constraint is expressed as: in, represents the set of branch child nodes in the distribution network with node j as the parent node, represents the set of parent nodes of branches in the distribution network with node j as child node; and are the active and reactive power transmitted on line ij respectively; and They are the interactive active and reactive power of the root node through the transformer and the distribution network respectively; is the reactive power demand of the load at node j at time t; To provide distributed power generation, and are the normal active and reactive load demands at node j at time t respectively; and are the voltage values ​​of nodes i and j respectively, is the load loss rate at node j; is the number of distribution network nodes, T is the running time; The load loss constraint is expressed as: The power output constraint is expressed as: in, and The upper and lower limits of the root node power output, Contribute to the prediction of distributed power generation; The system safety constraints are expressed as: The remaining operating constraints of the E-SOP are expressed as: in, and Respectively represent the upper and lower limits of reactive power of E-SOP; is the lowest value of the voltage per unit value. This formula represents the voltage constraint of the node on the fault side of the E-SOP during a fault.

8. A power supply recovery device based on energy storage type intelligent soft switch, characterized in that: The device comprises: Acquisition unit: acquires load data of each node of the distribution network and electrical data between nodes, wherein the load data includes active load demand and value coefficient of the corresponding node at the current moment, and the electrical data includes current value and resistance value of the line between different nodes at the current moment; Input unit: input the load data and power data into a pre-established power supply restoration model, wherein the objective function of the power supply restoration model is established with the goal of minimizing the degree of loss after a distribution network fault, wherein the degree of loss after a fault includes the degree of load recovery of each node in the distribution network and the line loss between the nodes, wherein the degree of load recovery is the product of the active load demand and the value coefficient, and the line loss is the product of the square of the current value and the resistance value; Transmission unit: transmits power to the distribution network according to the output of the power supply restoration model.

9. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor implements the steps of the method according to any one of claims 1 to 7 by running the executable instructions.

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

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