A real-time dispatching method and system for elastic distribution network based on island generation

Abstract

The present invention belongs to the technical field of power system operation and control, and specifically relates to a real-time dispatching method and system for an elastic distribution network based on island generation, comprising: obtaining the topological structure of the distribution network; when a failure occurs in the distribution network, reconstructing the obtained distribution network topological structure based on parent-child nodes to generate an island radial topological structure of the elastic distribution network; constructing an elastic distribution network optimization dispatching model with the goal of minimizing the sum of network loss and load abandonment cost of the generated elastic distribution network island radial topological structure; solving the constructed elastic distribution network optimization dispatching model, dynamically adjusting the elastic distribution network according to the solution result, and completing the real-time optimization dispatching of the elastic distribution network.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system operation and control, and specifically relates to a real-time dispatching method and system for a flexible distribution network based on island generation. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Grid resilience refers to the ability of a power system to resist damage and quickly resume normal operation in the face of natural disasters, severe weather, cyber attacks or other potential threats; that is, it measures the ability of the power grid to provide continuous and stable power supply and maintain functionality under various challenges. In terms of improving the resilience of the power system to natural disasters, especially high-impact and low-probability events such as typhoons, traditional methods include physical reinforcement of the power grid, preventive measures, post-disaster rapid recovery strategies, and scenario-based optimization and robust scheduling. However, with the widespread application of new energy, the operation and management of distribution networks have become more complex. Although the increase in the penetration rate of distributed energy has brought unprecedented challenges to the power system, it also provides a large amount of flexibility and dispatchable resources, which, if effectively used, can significantly improve the system's response capabilities to disasters and overall resilience.

[0004] According to the inventors' understanding, current strategies for enhancing the resilience of distribution networks mainly focus on the following aspects: first, physical reinforcement and preventive measures, including improving the wind resistance of power infrastructure and conducting early vegetation management, aimed at reducing physical damage to the power grid caused by factors such as fallen trees; second, post-disaster recovery strategies, such as deploying emergency repair teams and using mobile power vehicles to quickly restore power supply; all of which focus on repair work after a disaster occurs, rather than real-time response during a disaster.

[0005] Although optimization and robust scheduling methods based on specific scenarios can provide a certain degree of prediction and planning for pre-disaster preparation, they will inevitably fall into the dilemma of economy and conservatism. They rely on accurate prediction of disaster occurrence, but limit their effectiveness in practical applications. In terms of dynamic scheduling and utilization of distributed resources, although the advancement of smart grid technology has provided new possibilities for real-time monitoring and control, how to effectively integrate and optimize these resources to enhance the flexibility and resilience of distribution networks during natural disasters remains a key issue to be solved. At present, the management of distributed resources by distribution networks has not yet fully realized its potential, especially in terms of real-time optimization and dynamic scheduling strategies for disaster response, there is still much room for improvement. Summary of the invention

[0006] To solve the above problems, the present invention proposes a real-time dispatching method and system for a flexible distribution network based on island generation, which monitors the line damage status of the distribution network in real time during a disaster and quickly dispatches flexible resources in the area to improve the elasticity and rapid recovery capability of the power system distribution network.

[0007] According to some embodiments, a first solution of the present invention provides a real-time dispatching method for a flexible distribution network based on island generation, which adopts the following technical solutions:

[0008] A real-time dispatching method for a flexible distribution network based on island generation, comprising:

[0009] Obtain the topology of the distribution network;

[0010] When a distribution network failure occurs, the obtained distribution network topology is reconstructed based on the parent-child nodes to generate an island radial topology of the elastic distribution network;

[0011] An elastic distribution network optimization dispatching model is constructed with the goal of minimizing the sum of network loss and load abandonment cost of the generated elastic distribution network island radial topology structure.

[0012] Solve the constructed elastic distribution network optimization dispatching model, dynamically adjust the elastic distribution network according to the solution results, and complete the real-time optimization dispatching of the elastic distribution network.

[0013] As a further technical limitation, in the process of dynamically adjusting the elastic distribution network according to the solution results, it is determined whether the distribution network is still in a fault state based on the solution results. If so, real-time scheduling of the elastic distribution network is performed according to the solution results. If not, the distribution network topology structure is reconstructed to achieve rolling optimization and adjustment of the distribution network.

[0014] As a further technical limitation, the constraints for reconstructing the distribution network topology structure obtained based on the parent-child nodes are: the number of connected lines in the elastic distribution network is equal to the number of nodes in the elastic distribution network minus 1 minus the number of islands, and the damaged lines of the elastic distribution network are always disconnected when a failure occurs in the distribution network.

[0015] As a further technical limitation, the constraints of the constructed elastic distribution network optimization scheduling model include at least distribution network flow constraints, distribution network energy storage charge state constraints and distribution network energy storage charging and discharging logic state constraints.

[0016] As a further technical limitation, a flexible distribution network optimization dispatching model constructed by solving uncertain mixed integer linear programming is adopted.

[0017] As a further technical limitation, the obtained distribution network topology is a radial structure and satisfies the connectivity between various topological points.

[0018] According to some embodiments, a second solution of the present invention provides a real-time dispatching system for a flexible distribution network based on island generation, which adopts the following technical solutions:

[0019] A real-time dispatching system for a flexible distribution network based on island generation, comprising:

[0020] An acquisition module, configured to acquire a topological structure of a power distribution network;

[0021] A reconstruction module, which is configured to reconstruct the obtained distribution network topology structure based on the parent-child nodes when a distribution network failure occurs, and generate an island radial topology structure of the elastic distribution network;

[0022] A construction module is configured to construct an elastic distribution network optimization scheduling model with the goal of minimizing the sum of network loss and load abandonment cost of the generated elastic distribution network island radial topology structure;

[0023] The scheduling module is configured to solve the constructed elastic distribution network optimization scheduling model, dynamically adjust the elastic distribution network according to the solution results, and complete the real-time optimization scheduling of the elastic distribution network.

[0024] According to some embodiments, a third solution of the present invention provides a computer-readable storage medium, which adopts the following technical solution:

[0025] A computer-readable storage medium stores a program thereon, which, when executed by a processor, implements the steps in the real-time scheduling method for a flexible distribution network based on island generation as described in the first solution of the present invention.

[0026] According to some embodiments, a fourth solution of the present invention provides an electronic device, which adopts the following technical solution:

[0027] An electronic device includes a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, it implements the steps in the real-time scheduling method of elastic distribution network based on island generation as described in the first scheme of the present invention.

[0028] According to some embodiments, a fifth solution of the present invention provides a computer program product, which adopts the following technical solution:

[0029] A computer program product includes software code, wherein the program in the software code executes the steps in the real-time scheduling method of a flexible distribution network based on island generation as described in the first solution of the present invention.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] The present invention uses a real-time dispatching strategy based on island generation to quickly respond to distribution network failures caused by natural disasters, effectively utilize flexible and dispatchable resources in the area, ensure that the power grid can still maintain a certain degree of power supply capacity when it suffers major damage, and significantly improve the elasticity and rapid recovery ability of the distribution network; by introducing the parent-child node method and topological structure reconstruction, the distribution network is divided into multiple islands with distributed power sources as the core, which can effectively prevent disaster cascades and ensure power supply reliability in the face of severe natural disasters; in view of the problem that traditional greedy algorithms based on local optimality may ignore long-term benefits, an energy storage charging and discharging incentive mechanism considering global optimization is adopted, and the strategy is dynamically adjusted to adapt to the ever-changing environment, thereby achieving better resource allocation and dispatching strategies during the entire disaster period. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The drawings in the specification that constitute a part of this embodiment are used to provide a further understanding of this embodiment. The schematic embodiments of this embodiment and their descriptions are used to explain this embodiment and do not constitute improper limitations on this embodiment.

[0033] Figure 1 This is a flow chart of a real-time dispatching method for a flexible distribution network based on island generation in Embodiment 1 of the present invention;

[0034] Figure 2 In the first embodiment of the present invention t =1 Schematic diagram of topological structure of distribution network reconstruction and island generation state;

[0035] Figure 3 In the first embodiment of the present invention t =19 Schematic diagram of topological structure of distribution network reconstruction and island generation state;

[0036] Figure 4 A schematic diagram showing a comparison of economic losses between the real-time dispatching method for a flexible distribution network based on island generation in the first embodiment of the present invention and a traditional robust optimization algorithm;

[0037] Figure 5 This is a structural block diagram of a real-time dispatching system for an elastic distribution network based on island generation in the second embodiment of the present invention. DETAILED DESCRIPTION

[0038] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0039] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present application belongs.

[0040] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0041] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0042] Embodiment 1

[0043] Embodiment 1 of the present invention introduces a real-time scheduling method for a flexible distribution network based on island generation.

[0044] This embodiment proposes a real-time dispatching method for a flexible distribution network based on island generation, such as Figure 1 As shown, by real-time monitoring of the line damage status of the distribution network during the disaster, the flexible resources in the area (such as distributed generation, energy storage systems and adjustable loads) are quickly dispatched to improve the elasticity and rapid recovery capability of the power system distribution network; by introducing the parent-child node method, the isolated island area divided by network reconstruction is ensured to maintain a radial topology structure; considering the flow constraints and energy storage SOC constraints in the actual operation of the distribution network, an uncertain mixed integer linear programming model is established to minimize the economic losses of the current distribution network. In view of the limitations of the traditional greedy algorithm based on local optimality, this embodiment adopts an energy storage charging and discharging incentive mechanism to greatly improve the emergency response capability of the distribution network when natural disasters occur, and effectively reduce the impact of disasters on power supply.

[0045] If the obtained distribution network topology meets the following two conditions, it belongs to the radial topology, where the conditions are:

[0046] 1) The topology must contain n-1 connecting lines;

[0047] 2) Each topological point must be connected.

[0048] This embodiment introduces the concept of parent nodes and child nodes and uses a spanning tree model to describe the radial topology structure. That is, each node except the root node (transformer node or distributed generator node) has only one parent node, which can be expressed by the following constraints:

[0049] (1)

[0050] (2)

[0051] (3)

[0052] (4)

[0053] (5)

[0054] in, and They represent the nodes at both ends of line b respectively; is the set of all load nodes, is the set of generator nodes, and are the number of lines (including backup interconnection lines) and nodes in the distribution network, respectively; Represents a binary 0-1 variable. When the node For Node When the parent node of ,on the contrary ; Formula (1) indicates that all common load nodes have only one parent node, and formula (2) indicates that all power nodes have no parent node.

[0055] It should be noted that the line On / off status The size of is set between 0 and 1, so and At most one of them can be 1.

[0056] The radial topology itself facilitates fault isolation and rapid repair. To address the problems of distribution network reconstruction and island generation under natural disasters, this embodiment adds the following two constraints:

[0057] (6)

[0058] (7)

[0059] in, Represents the line in the flexible distribution network topology The on / off status; represents the number of nodes in the elastic distribution network topology; represents the number of lines in the topology of the flexible distribution network; It represents the number of islands in the resilient distribution network when a fault occurs in the distribution network; Represents the damaged line of the resilient distribution network when a fault occurs in the distribution network The on / off status; It represents the collection of lines damaged in the typhoon disaster; Represents the damaged line of the resilient distribution network when a fault occurs in the distribution network The on / off state is 0, that is, it is in the disconnected state; Formula (6) indicates that when the distribution network in a certain area is divided into When there are 100 isolated islands, the number of connected lines is equal to the number of nodes minus 1 minus the number of isolated islands. Formula (7) represents the number of lines damaged in natural disasters. , a variable indicating the on / off status of the line Always 0.

[0060] This embodiment adds two constraints, formula (6) and formula (7), to ensure that when a regional distribution network suffers from a severe natural disaster and a line failure or damage occurs, the isolated island areas divided by the distribution network reconstruction can avoid damaged lines while ensuring the radial topology structure within each isolated island.

[0061] At each decision-making stage, the distribution network designs a globally optimized energy storage charging and discharging incentive mechanism based on the distributed power sources and load power fluctuation information obtained based on climate forecasts. Specifically,

[0062] (8)

[0063] (9)

[0064] (10)

[0065] (11)

[0066] (12)

[0067] in, Indicates the estimated power shortage value at each moment during the disaster; Indicates the total predicted output of the generator; represents the total load forecast value; in this embodiment, the distributed power output forecast result and the load forecast result in formula (8) adopt a forecast error of 10%. Indicates the actual power shortage at the current moment; Indicates the current time Generator output value; Indicates the current time The actual value of the load; the prediction error range of various uncertain variables is set by formula (10) , specifically distributed generators The actual output is within the predicted output According to formula (11), the average value of the estimated power shortage during the entire disaster period is calculated. ; for The energy storage charging and discharging incentive at each moment is normalized by the inverse tangent function using formula (12) to normalize the distance that the power deficit at each moment deviates from the average value; the result is used as the energy storage charging and discharging incentive; that is, the higher the overall source-load imbalance in the distribution network at a certain moment, the greater the incentive value, and the greater the energy storage charging and discharging power during this period.

[0068] In summary, by comprehensively measuring the power supply and load status in the distribution network during the entire disaster period and introducing this incentive parameter when making decisions, it is possible to comprehensively consider global optimization in the real-time resilience enhancement strategy.

[0069] In this embodiment, the objective function of the elastic distribution network optimization dispatching model is to minimize the sum of the network loss and the load abandonment cost after reconstruction, and an additional energy storage charging and discharging incentive parameter is added. , used for global charging and discharging incentives for energy storage; among them, is the parameter value of the energy storage charging and discharging incentive, which is set to a value far less than 1, so that it has almost no effect on the economic loss calculated by the objective function. and Respectively represent Always installed The charging and discharging power of the energy storage device at the node.

[0070] The objective function is:

[0071] (13)

[0072] Among them, T is the duration of the disaster obtained according to the meteorological forecast. The intelligent monitoring equipment in the distribution network is used to obtain the damage status of the distribution network lines every 15 minutes, and the normal operation of the distribution network is guaranteed based on the following constraints.

[0073] The constraints of the elastic distribution network optimization scheduling model in this embodiment include:

[0074] (1) Power flow constraints

[0075] (14)

[0076] (15)

[0077] (16)

[0078] (17)

[0079] (18)

[0080] (19)

[0081] (20)

[0082] (twenty one)

[0083] (twenty two)

[0084] in, and Respectively represent Time by node Flow to Node The active power and reactive power of and Respectively represent Time by node The active and reactive outputs of the generators, and Respectively represent Time Node The active load value and the abandoned load value caused by insufficient power supply during the disaster. represent Time Node Reactive load. This embodiment uses formula (14) and formula (15) to ensure the active and reactive balance of the power flow in the distribution network, assuming that the power factor of the load abandoned by each load node is equal to the power factor of the node; represents a very large positive number, and Respectively indicate lines The maximum active and reactive power allowed to flow through the line is expressed by formula (16) and formula (17). Only when the line is not damaged by natural disasters, power will flow through the line. Representation Node exist The voltage value at the moment, and Respectively represent the resistance and reactance of the line, and use Indicates the rated voltage of the distribution network, and Respectively represent the minimum and maximum fluctuation range of node voltage. The maximum flow of the line is limited by formula (18) and formula (19); formula (20), formula (21) and formula (22) are used to limit the voltage range of each node.

[0085] (2) Energy storage SOC constraints

[0086] (twenty three)

[0087] (twenty four)

[0088] (25)

[0089] The initial power of energy storage installed at each location in the distribution network is calculated using formula (23): , whose size is equal to the energy storage capacity at that location Ratio to initial power The product of; through formula (24) to limit the energy storage capacity Upper and lower limits and ; Use formula (25) to establish the relationship between the amount of electricity before and after energy storage, where and Respectively represent the efficiency of energy storage charging and discharging.

[0090] (3) Energy storage charging and discharging logic state constraints

[0091] (26)

[0092] (27)

[0093] (28)

[0094] (29)

[0095] (30)

[0096] Formula (26) is obtained by setting the binary 0-1 variable and , to ensure that the energy storage can only be in one of the charging or discharging states; in formula (27), Represents the capacity of the energy storage device; r represents the charge and discharge power coefficient based on capacity, which determines the maximum charge and discharge rate of the energy storage device , which is usually a percentage of the capacity (for example, if r is 0.15, it means that the maximum charge and discharge power is 15% of the battery capacity); Formula (28) and Formula (29) indicate that the actual charge and discharge power of the energy storage is limited by both its maximum operating power and the charge and discharge logic state variables.

[0097] This embodiment adopts uncertain mixed integer linear programming to solve the objective function. The specific solution process belongs to the existing technology that those skilled in the art should know, and will not be described again in this embodiment.

[0098] Case Analysis

[0099] This embodiment performs simulation based on IEEE33 nodes and divides the islands through the distribution network reconstruction strategy proposed in this embodiment. t =1 and t=19, the topological structures of the distribution network reconstruction and island generation states are as follows: Figure 2 and Figure 3 shown.

[0100] according to Figure 2 and Figure 3 It can be seen that, no matter at which time, this embodiment generates three power supply areas with distributed power sources as the core, ensuring the radial topology of the power supply area. At the same time, as the disaster time goes by, the number of damaged lines gradually increases; more tie lines are used (the IEEE 33-node standard distribution network itself contains five tie lines) to reconstruct the distribution network.

[0101] The economic loss comparison diagram between the real-time dispatching method of elastic distribution network based on island generation and the traditional robust optimization algorithm is shown in the figure. Figure 4 As shown, compared with the traditional robust optimization method, it can be observed that the real-time scheduling strategy for elastic distribution network based on island generation proposed in the present invention reduces the overall economic loss of the distribution network by 20% when facing the same natural disaster conditions. In addition, due to the introduction of the global optimal energy storage charging and discharging incentives, the overall loss of the distribution network at different stages of the disaster does not change much. Unlike traditional robust optimization methods, the latter usually concentrates too many resources in the early stage to lead to minimal load reduction, but the load reduction amount increases significantly in the later stage. The ability of the present invention to maintain a relatively stable level of power supply in the distribution network is undoubtedly crucial.

[0102] This embodiment uses a real-time dispatching strategy based on island generation to quickly respond to distribution network failures caused by natural disasters, effectively utilize flexible and dispatchable resources in the region, ensure that the power grid can still maintain a certain degree of power supply capacity when it suffers major damage, and significantly improve the elasticity and rapid recovery capability of the distribution network; by introducing the parent-child node method and topology reconstruction, the distribution network is divided into multiple islands with distributed power sources as the core, which can effectively prevent disaster cascades and ensure power supply reliability in the face of severe natural disasters; in view of the problem that traditional greedy algorithms based on local optimality may ignore long-term benefits, an energy storage charging and discharging incentive mechanism considering global optimization is adopted, and a better resource allocation and dispatching strategy is achieved during the entire disaster period by dynamically adjusting the strategy to adapt to the changing environment.

[0103] Embodiment 2

[0104] Embodiment 2 of the present invention introduces a real-time dispatching system for a flexible distribution network based on island generation.

[0105] like Figure 5 A real-time dispatching system for a flexible distribution network based on island generation is shown, comprising:

[0106] An acquisition module, configured to acquire a topological structure of a power distribution network;

[0107] A reconstruction module, which is configured to reconstruct the obtained distribution network topology structure based on the parent-child nodes when a distribution network failure occurs, and generate an island radial topology structure of the elastic distribution network;

[0108] A construction module is configured to construct an elastic distribution network optimization scheduling model with the goal of minimizing the sum of network loss and load abandonment cost of the generated elastic distribution network island radial topology structure;

[0109] The scheduling module is configured to solve the constructed elastic distribution network optimization scheduling model, dynamically adjust the elastic distribution network according to the solution results, and complete the real-time optimization scheduling of the elastic distribution network.

[0110] The detailed steps are the same as the real-time scheduling method of elastic distribution network based on island generation provided in Example 1, and will not be repeated here.

[0111] Embodiment 3

[0112] Embodiment 3 of the present invention provides a computer-readable storage medium.

[0113] A computer-readable storage medium stores a program thereon, which, when executed by a processor, implements the steps in the real-time scheduling method for a flexible distribution network based on island generation as described in Embodiment 1 of the present invention.

[0114] The detailed steps are the same as the real-time scheduling method of elastic distribution network based on island generation provided in Example 1, and will not be repeated here.

[0115] Embodiment 4

[0116] A fourth embodiment of the present invention provides an electronic device.

[0117] An electronic device comprises a memory, a processor and a program stored in the memory and running on the processor, wherein when the processor executes the program, the steps in the real-time scheduling method of a flexible distribution network based on island generation as described in the first embodiment of the present invention are implemented.

[0118] The detailed steps are the same as the real-time scheduling method of elastic distribution network based on island generation provided in Example 1, and will not be repeated here.

[0119] Embodiment 5

[0120] Embodiment 5 of the present invention provides a computer program product.

[0121] A computer program product includes software code, wherein the program in the software code executes the steps in the real-time scheduling method of a flexible distribution network based on island generation as described in the first embodiment of the present invention.

[0122] The detailed steps are the same as the real-time scheduling method of elastic distribution network based on island generation provided in Example 1, and will not be repeated here.

[0123] The above description is only a preferred embodiment of the present embodiment and is not intended to limit the present embodiment. For those skilled in the art, the present embodiment may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present embodiment shall be included in the protection scope of the present embodiment.

Claims

1. A real-time dispatching method for elastic distribution network based on island generation, characterized in that: include: Obtain the topological structure of the distribution network; When a distribution network failure occurs, the obtained distribution network topology is reconstructed based on the parent-child nodes to generate an island radial topology of the elastic distribution network; The constraint conditions for reconstructing the obtained distribution network topology structure based on the parent-child nodes are: the number of interconnected lines in the elastic distribution network is equal to the number of nodes in the elastic distribution network minus 1 minus the number of islands, and the damaged line of the elastic distribution network is always in a disconnected state when a failure occurs in the distribution network; An elastic distribution network optimization dispatching model is constructed with the goal of minimizing the sum of network loss and load abandonment cost of the generated elastic distribution network island radial topology structure. The objective function of the elastic distribution network optimization dispatch model is to minimize the sum of the network loss and load abandonment cost after reconstruction, and an additional energy storage charging and discharging incentive parameter E·σ is added. t (P ch，i，t -P dis，i，t ), which is used for the global charging and discharging incentive of energy storage; where E is the parameter value of the energy storage charging and discharging incentive, which is set to a value far less than 1 so that it has almost no effect on the economic loss calculated by the objective function, P ch,i,t With P dis,i,t Respectively represent the charging and discharging power of the energy storage device installed on node i at time t; σ t is the energy storage charging and discharging incentive at time t; the objective function is: Among them, T is the duration of the disaster obtained based on the meteorological forecast; The distribution network designs a globally optimized energy storage charging and discharging incentive mechanism based on the distributed power generation and load power fluctuation information obtained based on climate forecasts; Solve the constructed elastic distribution network optimization dispatching model, dynamically adjust the elastic distribution network according to the solution results, and complete the real-time optimization dispatching of the elastic distribution network; An optimal dispatching model for flexible distribution networks constructed by solving uncertain mixed integer linear programming; The globally optimized energy storage charging and discharging incentive mechanism is specifically: ΔP t =P g,t -P load,t ; in, Indicates the estimated power shortage value at each moment during the disaster; Indicates the total predicted output of the generator; Indicates the total load forecast value; ΔP t Indicates the actual power shortage at the current moment; P g,t represents the generator output value at the current time t; P load,t Represents the actual value of the load at the current moment; α x Indicates the prediction error range of various uncertain variables; It represents the average value of the estimated power shortage during the entire disaster period.

2. A real-time dispatching method for elastic distribution network based on island generation as claimed in claim 1, characterized in that: In the process of dynamically adjusting the elastic distribution network according to the solution results, it is judged whether the distribution network is still in a fault state according to the solution results. If so, the real-time scheduling of the elastic distribution network is carried out according to the solution results. If not, the topology structure of the distribution network is reconstructed to realize the rolling optimization adjustment of the distribution network.

3. A real-time dispatching method for elastic distribution network based on island generation as claimed in claim 1, characterized in that: The constraints of the constructed elastic distribution network optimization scheduling model include at least distribution network flow constraints, distribution network energy storage charge state constraints and distribution network energy storage charging and discharging logic state constraints.

4. A real-time dispatching method for elastic distribution network based on island generation as claimed in claim 1, characterized in that: The obtained distribution network topology is a radial structure, and each topological point is connected.

5. A real-time dispatching system for elastic distribution network based on island generation, characterized in that: include: An acquisition module, configured to acquire a topological structure of a power distribution network; A reconstruction module, which is configured to reconstruct the obtained distribution network topology structure based on the parent-child nodes when a distribution network failure occurs, and generate an island radial topology structure of the elastic distribution network; The constraint conditions for reconstructing the obtained distribution network topology structure based on the parent-child nodes are: the number of interconnected lines in the elastic distribution network is equal to the number of nodes in the elastic distribution network minus 1 minus the number of islands, and the damaged line of the elastic distribution network is always in a disconnected state when a failure occurs in the distribution network; A construction module is configured to construct an elastic distribution network optimization scheduling model with the goal of minimizing the sum of network loss and load abandonment cost of the generated elastic distribution network island radial topology structure; The objective function of the elastic distribution network optimization dispatch model is to minimize the sum of the network loss and load abandonment cost after reconstruction, and an additional energy storage charging and discharging incentive parameter E·σ is added. t (P ch,i,t -P dis,i,t ), which is used for the global charging and discharging incentive of energy storage; where E is the parameter value of the energy storage charging and discharging incentive, which is set to a value far less than 1 so that it has almost no effect on the economic loss calculated by the objective function, P ch,i,t With P dis,i,t Respectively represent the charging and discharging power of the energy storage device installed on node i at time t; σ t is the energy storage charging and discharging incentive at time t; the objective function is: Among them, T is the duration of the disaster obtained based on the meteorological forecast; The distribution network designs a globally optimized energy storage charging and discharging incentive mechanism based on the fluctuation information of distributed power sources and load power obtained based on climate forecasts; the dispatching module is configured to solve the constructed elastic distribution network optimization dispatching model, dynamically adjust the elastic distribution network according to the solution results, and complete the real-time optimization dispatching of the elastic distribution network; An optimal dispatching model for flexible distribution networks constructed by solving uncertain mixed integer linear programming; The globally optimized energy storage charging and discharging incentive mechanism is specifically: ΔP t =P g,t -P load,t ; in, Indicates the estimated power shortage value at each moment during the disaster; Indicates the total predicted output of the generator; Indicates the total load forecast value; ΔP t Indicates the actual power shortage at the current moment; P g,t represents the generator output value at the current time t; P load,t Represents the actual value of the load at the current moment; α x Indicates the prediction error range of various uncertain variables; It represents the average value of the estimated power shortage during the entire disaster period.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the real-time scheduling method of a flexible distribution network based on island generation as described in any one of claims 1 to 3 are implemented.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the program, the steps of the real-time scheduling method of elastic distribution network based on island generation as described in any one of claims 1 to 3 are implemented.

8. A computer program product comprising software code, characterized in that The program in the software code executes the steps of the real-time scheduling method of elastic distribution network based on island generation as described in any one of claims 1-3.

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