Reconfigurable intelligent soft switch-containing power distribution system power supply recovery method based on partition function switching

Abstract

The invention discloses a power supply recovery method for a power distribution system containing a reconfigurable intelligent soft switch based on partition function switching. The method comprises the following steps: 1, constructing a reconfigurable intelligent soft switch topology based on a mode switching module and a converter recombination module; 2, establishing a reconfigurable intelligent soft switch mathematical model; 3, establishing a power supply recovery model of the power distribution system containing the reconfigurable intelligent soft switch under a line fault; and 4, converting the power supply recovery model of the power distribution system containing the reconfigurable intelligent soft switch under the line fault into a mixed integer second-order cone programming constraint, and solving to obtain a power distribution system operation scheme containing reconfigurable soft switch action and a controllable switch. According to the invention, the reconfigurable intelligent soft switch is utilized to break through the capacity limitation of the transmission power of the traditional multi-terminal intelligent soft switch, so that the load recovery rate is improved, and the influence of line faults on a power distribution system can be effectively reduced.

Description

Technical Field

[0001] This invention belongs to the field of power distribution system operation optimization, specifically a power supply restoration method for power distribution systems to cope with line faults based on reconfigurable intelligent soft switch R-SOP. Background Technology

[0002] With the expansion of power distribution systems and the high proportion of renewable energy integration, the complexity of system operation has increased, and routine fault events such as line faults occur frequently, seriously affecting the reliability of power supply. Traditional fault recovery methods mainly rely on network reconfiguration and distributed power source regulation, but they are limited by the number of switching operations, power supply capacity, and topology flexibility, making it difficult to achieve rapid and sufficient load recovery in complex fault scenarios.

[0003] Intelligent soft switches, as a new type of power electronic device, possess the ability to flexibly regulate power flow and support voltage, demonstrating potential in fault recovery. However, traditional SOPs (Standard Operating Procedures) are connected as replacements for tie switches, and their power transmission capacity is limited by the fixed capacity of the voltage source converter. When facing large-scale power outages, their insufficient capacity often leads to limited recovery effectiveness. Therefore, there is an urgent need for a power supply recovery method that can overcome the capacity limitations of VSCs (Voltage Source Switches) to improve the self-healing capability and resilience of the power distribution system under line faults. Summary of the Invention

[0004] The present invention addresses the shortcomings of the prior art by proposing a power supply restoration method for a power distribution system with reconfigurable intelligent soft switches based on zone function switching. The aim is to achieve effective restoration of the power distribution system under line faults by coordinating reconfigurable intelligent soft switches and controllable switches, thereby improving the system's recovery capability under extreme conditions.

[0005] To achieve the above-mentioned objectives, the present invention adopts the following technical solution: The present invention provides a power supply restoration method for a power distribution system with reconfigurable intelligent soft switch based on partition function switching, characterized by the following steps: Step 1: Construct a reconfigurable intelligent soft switch, including: K function selection modules, G converter reconfiguration modules, and G converters; The k-th function selection module controls its four relay switches based on the input level S. ~ This allows for switching the operating modes of the four ports of the reconfigurable intelligent soft switch R-SOP; k=1,2,…,K; When the input level At that time, the k-th function selection module processes S and outputs the first control level. The second control level The third control level The fourth control level And respectively to the four corresponding relay switches ~ This causes the first relay switch to switch With the 4th relay switch Disconnect the second relay switch. With the third relay switch The circuit closes, thus enabling the four ports of the reconfigurable intelligent soft switch R-SOP to operate in "SOP mode"; when the input level... At that time, the k-th function selection module processes S and outputs the first control level. The second control level The third control level The fourth control level And respectively to the four corresponding relay switches ~ This causes the first relay switch to switch With the 4th relay switch Close, second relay switch With the third relay switch Disconnect, thereby enabling the four ports of the reconfigurable smart soft switch R-SOP to operate in "SOP mode"; The g-th converter reconfiguration module uses a decoder to... High and low levels ~ After processing, the voltage levels of the e relay switches, each containing only one high-level signal, are obtained. ~ Therefore, based on ~ Control themselves The state of each relay switch ~ One of the states is a closed state, which enables the feeder connected to the relay switch corresponding to the closed state to conduct with the converter VSC corresponding to the g-th converter reconfiguration module, thereby distributing the capacity of the conducted converter VSC to the corresponding feeder; g = 1, 2, ..., G; where, Indicates the first High and low levels, Indicates the first The level of each relay switch, Indicates the first The state of each relay switch; Step 2: Construct the constraints for the power supply restoration model of the power distribution system containing the reconfigurable intelligent soft switch R-SOP; Step 3: Construct the objective function of the power supply restoration model for a distribution system with reconfigurable intelligent soft switch R-SOP based on zone function switching. ; Step 4: The power supply restoration model of the distribution system with reconfigurable intelligent soft switch R-SOP based on partition function switching is transformed into a mixed integer second-order cone programming constraint and then solved to obtain the operation scheme of the distribution system including the action of reconfigurable soft switch R-SOP and the action of all switches.

[0006] The power supply restoration method for a power distribution system with reconfigurable intelligent soft switch based on partition function switching, as described in this invention, is also characterized in that step 2 includes: Step 2.1: Construct the constraints for the reconfigurable intelligent soft switch R-SOP using equations (1)-(10): (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) In equations (1)-(10), , These represent the set of nodes connected to the voltage source converter and the set of all tie switches, respectively. This refers to the number of voltage source converters; Indicates the first A voltage source converter in Whether a node is connected to the voltage source converter at any given time Connected; express Nodes that are always connected to the voltage source converter The status of all connected interconnecting switches; express Nodes that are always connected to the voltage source converter The status of all connected interconnecting switches; express Nodes that are always connected to the voltage source converter The status of all connected interconnecting switches; represent Nodes that are always connected to the voltage source converter The maximum apparent power transmitted across all connected feeders; For the first The capacity of the voltage source converter; , , Represent Time Node The active power, reactive power, and DC-side power transmitted by all connected voltage source converters; represent Time Node Active power losses on all connected voltage source converters; This is the loss coefficient; represent Time of the first Status of each contact switch; represent Nodes that are always connected to the voltage source converter The voltage; represent Nodes that are always connected to the voltage source converter The port open state of the reconfigurable intelligent soft switch R-SOP; The reference voltage for the power distribution system is M; M is a constant. Step 2.2: Construct the virtual power flow constraints for power distribution system reconfiguration using equations (11)-(14): (11) (12) (13) (14) In equations (11)-(14), represent Time Node and nodes Branch roads between A 0-1 integer variable indicating whether the network is connected; yes Time Branch The virtual trend; yes Time Node The current generated by the virtual power source; It is a node Virtual demand; The number of nodes in the power distribution system; It is the set of all nodes in the power distribution system; Step 2.3: Construct the power flow constraints of the distribution system with reconfigurable intelligent soft switch R-SOP based on zone function switching under line faults using equations (15)-(25): (15) (16) (17) (18) (19) (20) (twenty one) (twenty two) (twenty three) (twenty four) (25) In equations (15) to (25); and They are respectively Time Branch The active and reactive power transmitted upstream; and Branch roads Resistance and reactance; and They are respectively Time Node The injected active and reactive power; and for Time Node The reduction in active and reactive loads; for Time Node The voltage; for Time Branch The current transmitted upwards; , They are respectively Time Node The active power output and active power reduction of photovoltaic (PV) systems; for Time Node The reactive power output of photovoltaic (PV) systems; and They are respectively Time Node The active and reactive power consumed by the load; and for Time Node The active and reactive power injected by the reconfigurable intelligent soft switch R-SOP at the location; and These are the upper and lower limits of the node voltage in the power distribution system, respectively. This represents the upper limit of branch current in the power distribution system. For branch circuits in the power distribution system The upper limit of power flow.

[0007] Furthermore, in step 3, the objective function is constructed using equations (26) and (27). : (26) (27) In equations (26)-(27), , These represent power distribution system losses and load reduction, respectively. This represents the total number of moments.

[0008] Furthermore, step 4 includes the following steps: Step 4.1: Transfer nonlinear variables and Replace them with two linear variables respectively and And the big-M method is used to relax equations (15)-(18) and (21)-(22), so that the transformed linear constraints can be obtained using equations (28)-(33): (28) (29) (30) (31) (32) (33) In equations (28)-(33), and respectively Time Node The square of the voltage at the point, Time Node To the node Branch road The square of the current; Step 4.2: Use equation (34) to transform equation (33) into a second-order cone constraint: (34) In equation (41), T represents transpose; Step 4.3: The power and current transmitted in the branch are decoupled using the big-M method, and the transformed linear constraints are obtained using equations (35)-(37): (35) (36) (37) Step 4.4: Use equation (38) to transform equation (5) into a revolving cone constraint: (38).

[0009] The present invention provides an electronic device, including a memory and a processor, characterized in that the memory is used to store a program supporting the processor in executing the power restoration method, and the processor is configured to execute the program stored in the memory.

[0010] The present invention provides a computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, performs the steps of the power restoration method.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention proposes a novel reconfigurable intelligent soft switch (R-SOP). R-SOP, through a partitioned function switching mechanism, allows some ports to operate in a high-capacity transmission "tethered switch mode" while others operate in a flexible controllable "SOP mode," breaking the bottleneck of traditional SOPs limited by VSC capacity and significantly improving system power transfer capability and load recovery potential.

[0012] 2. This invention incorporates the reconfigurable intelligent soft switch R-SOP into the power supply restoration model of the distribution system under the line, so as to effectively improve the load restoration rate. By realizing the switching of different operating modes at different ports and the reconfiguration of ports and VSCs, R-SOP significantly improves the load restoration capability compared with the traditional intelligent soft switch SOP while keeping the total port capacity unchanged.

[0013] 3. Through rigorous mathematical modeling and efficient optimization solutions, this invention can provide dispatchers with fast and optimal recovery decision support in line fault scenarios, significantly enhancing the resilience and self-healing capability of the power distribution system. Attached Figure Description

[0014] Figure 1 This is the topology diagram of the reconfigurable intelligent soft switch R-SOP; Figure 2 It is an improved IEEE 33-node power distribution system topology diagram; Figure 3 This is a comparison chart of the load recovery rates for each case. Figure 4 This is a diagram of the reconfigurable intelligent soft switch R-SOP operating mode; Figure 5 This is a capacity allocation diagram for each feeder in the R-SOP. Detailed Implementation

[0015] In this embodiment, a power supply restoration method for a power distribution system based on a reconfigurable intelligent soft switch includes the following steps: Step 1: Construct a reconfigurable smart soft switch, with the following topology: Figure 1 As shown, it includes: K function selection modules, G converter reconfiguration modules, and G converters; The k-th function selection module controls its four relay switches based on the input level S. ~ This allows for switching the operating modes of the four ports of the reconfigurable intelligent soft switch R-SOP; k=1,2,…,K; When the input level At that time, the k-th function selection module processes S and outputs the first control level. The second control level The third control level The fourth control level And respectively to the four corresponding relay switches ~ This causes the first relay switch to switch With the 4th relay switch Disconnect the second relay switch. With the third relay switch The circuit closes, thus enabling the four ports of the reconfigurable intelligent soft switch R-SOP to operate in "SOP mode"; when the input level... At that time, the k-th function selection module processes S and outputs the first control level. The second control level The third control level The fourth control level And respectively to the four corresponding relay switches ~ This causes the first relay switch to switch With the 4th relay switch Close, second relay switch With the third relay switch Disconnect, thereby enabling the four ports of the reconfigurable smart soft switch R-SOP to operate in "SOP mode"; The g-th converter reconfiguration module uses a decoder to... High and low levels ~ After processing, the voltage levels of the e relay switches, each containing only one high-level signal, are obtained. ~ Therefore, based on ~ Control themselves The state of each relay switch ~ One of the states is a closed state, which enables the feeder connected to the relay switch corresponding to the closed state to conduct with the converter VSC corresponding to the g-th converter reconfiguration module, thereby distributing the capacity of the conducted converter VSC to the corresponding feeder; g = 1, 2, ..., G; where, Indicates the first High and low levels, Indicates the first The level of each relay switch, Indicates the first The state of each relay switch; Step 2: Construct the constraints for the power supply restoration model of the distribution system containing the reconfigurable intelligent soft switch R-SOP: Step 2-1: Construct the mathematical constraints for the reconfigurable intelligent soft switch using equations (1) to (10): (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) In equations (1)-(10), , These represent the set of nodes connected to the voltage source converter and the set of all tie switches, respectively. This refers to the number of voltage source converters; Indicates the first A voltage source converter in Whether a node is connected to the voltage source converter at any given time Connected; express Nodes that are always connected to the voltage source converter The status of all connected interconnecting switches; express Nodes that are always connected to the voltage source converter The status of all connected interconnecting switches; express Nodes that are always connected to the voltage source converter The status of all connected interconnecting switches; represent Nodes that are always connected to the voltage source converter The maximum apparent power transmitted across all connected feeders; For the first The capacity of the voltage source converter; , , Represent Time Node The active power, reactive power, and DC-side power transmitted by all connected voltage source converters; represent Time Node Active power losses on all connected voltage source converters; This is the loss coefficient; represent Time of the first Status of each contact switch; represent Nodes that are always connected to the voltage source converter The voltage; represent Nodes that are always connected to the voltage source converter The port open state of the reconfigurable intelligent soft switch R-SOP; is the reference voltage of the power distribution system; M is a constant.

[0016] Step 2-2: Construct the virtual power flow constraints for power distribution system reconfiguration using equations (11)-(14): (11) (12) (13) (14) In equations (11)-(14), represent Time Node and nodes Branch roads between A 0-1 integer variable indicating whether the network is connected; yes Time Branch The virtual trend; yes Time Node The current generated by the virtual power source; It is a node Virtual demand; The number of nodes in the power distribution system; It is the set of all nodes in the power distribution system.

[0017] Steps 2-3: Construct the power flow constraints of a distribution system with reconfigurable intelligent soft switch R-SOP based on zone function switching under line faults using equations (15)-(25): (15) (16) (17) (18) (19) (20) (twenty one) (twenty two) (twenty three) (twenty four) (25) In equations (15)-(25), and They are respectively Time Branch The active and reactive power transmitted upstream; and Branch roads Resistance and reactance; and They are respectively Time Node The injected active and reactive power; and for Time Node The reduction in active and reactive loads; for Time Node The voltage; for Time Branch The current transmitted upwards; , They are respectively Time Node The active power output and active power reduction of photovoltaic (PV) systems; for Time Node The reactive power output of photovoltaic (PV) systems; and They are respectively Time Node The active and reactive power consumed by the load; and for Time Node The active and reactive power injected by the reconfigurable intelligent soft switch; and These are the upper and lower limits of the node voltage in the power distribution system, respectively. This represents the upper limit of branch current in the power distribution system. For branch circuits in the power distribution system The upper limit of power flow.

[0018] Step 3: Construct the objective function of the power supply restoration model for a power distribution system with reconfigurable intelligent soft switch based on partition function switching using equations (26) and (27). : (26) (27) In equations (26)-(27), , These represent power distribution system losses and load reduction, respectively. This represents the total number of moments.

[0019] Step 4: The proposed power supply restoration model of the distribution system with reconfigurable intelligent soft switch based on partition function switching is transformed into a mixed integer second-order cone programming constraint and then solved to obtain the operation scheme of the distribution system including reconfigurable soft switch action and controllable switch.

[0020] Step 4-1: Transfer nonlinear variables and Replace them with two linear variables respectively and The big-M method is used to relax equations (25)-(18) and (21)-(22) to transform them into linear constraints, and then the transformed constraints are constructed using equations (28)-(33): (28) (29) (30) (31) (32) (33) In equations (28)-(33), and respectively Time Node The square of the voltage at the point, Time Node To the node Branch road The square of the current.

[0021] Step 4-2: Use equation (34) to transform equation (33) into a second-order cone constraint: (34) In equation (41), T represents transpose.

[0022] Step 4-3: Decouple the power and current transmitted in the branch using the big-M method, and then construct the transformed constraints using equations (35)-(37): (35) (36) (37) Step 4-4: Use equation (38) to transform equation (5) into a rotating cone constraint: (38) Using the above method, the constraints of the power supply recovery model of the power distribution system with reconfigurable intelligent soft switch based on partition function switching are transformed into mixed integer second-order cone programming constraints and then solved to obtain the operation scheme of the power distribution system including the reconfigurable soft switch action controllable switch.

[0023] In this embodiment, an electronic device includes a memory and a processor. The memory stores a program that supports the processor in executing the above-described method, and the processor is configured to execute the program stored in the memory.

[0024] In this embodiment, a computer-readable storage medium stores a computer program, which is executed by a processor to perform the steps of the above method.

[0025] To enable those skilled in the art to better understand the present invention, the numerical example analysis includes the following components: I. Example Description and Simulation Result Analysis: To verify its effectiveness, the present invention employs, as follows: Figure 2 The improved IEEE 33-node system with a 6-port R-SOP shown is used as a test system, and a computational example analysis is performed. For example... Figure 2 In the test system shown, the controllable sectionalizing switches are 3, 20, 6, 25, 27, 30, and 14; the controllable tie switches are 33 and 34; and the photovoltaic nodes are 7, 15, 33, 22, and 27. The system reference voltage is 12.66 kV, and the voltage safety range is 0.95-1.05 pu. A six-feeder, four-converter R-SOP system is used, connected to nodes 33, 9, 12, 15, 18, and 22, with a total capacity of 1.5 MW. The capacities of the four converters are set according to the golden ratio: 0.75 MVA, 0.4635 MVA, 0.1770 MVA, and 0.1095 MVA, respectively.

[0026] To fully demonstrate the effectiveness of the power distribution system based on reconfigurable intelligent soft switches in responding to line fault power supply restoration, the case study section includes two schemes, Case 1 and Case 2, for comparison.

[0027] Case 1: Fault recovery method for power distribution systems with a four-port multiplexer MOP.

[0028] Case 2: The power supply restoration method for a power distribution system containing R-SOP proposed in this paper.

[0029] All numerical simulations in the examples section were performed in MATLAB 2021a and solved using the YALMIP toolbox and Gurobi solver in a 64-bit Windows environment.

[0030] exist Figure 3 In the IEEE 33-node test system shown, the above four schemes are executed simultaneously. The results for Case 1, Case 2, and recovery performance are obtained, as follows: Figure 3 As shown.

[0031] from Figure 3 As can be seen, when R-SOP switches modes at different ports, its recovery rate is greater than that of MOP. R-SOP dynamically switches operating modes at different times, breaking the limitation of traditional intelligent soft switching recovery effects that are restricted by converter capacity.

[0032] Figure 4This demonstrates the operating modes of R-SOP at different times and on different ports. It can be seen that, except for the periods of 10:00, 10:15, and 10:30 when feeders are in tie-switching mode, the remaining feeders can be allocated more sufficient converter capacity, effectively increasing the load recovery rate. Figure 5 The diagram illustrates the allocated capacity of each feeder. When a feeder operates in tie-switch mode, its transmission power is not limited by the converter's capacity, therefore its capacity is not shown in the diagram. Other feeders can dynamically allocate converters to adapt to time-varying dynamic loads, increasing the interconnection capacity between feeders. In this specification, the illustrative descriptions of the invention are not necessarily directed at the same embodiments or examples. Those skilled in the art can combine and integrate the different embodiments or examples described in this specification. Furthermore, the embodiments in this specification are merely enumerations of implementation forms of the inventive concept, and the scope of protection of the invention should not be considered as limited to the specific forms stated in the embodiments. The scope of protection of the invention also includes equivalent technical means that can be conceived by those skilled in the art based on the inventive concept.

Claims

1. A power supply restoration method for a power distribution system with a reconfigurable intelligent soft switch based on zone function switching, characterized in that, Includes the following steps: Step 1: Construct a reconfigurable intelligent soft switch, including: K function selection modules, G converter reconfiguration modules, and G converters; The k-th function selection module controls its four relay switches based on the input level S. ~ This allows for switching the operating modes of the four ports of the reconfigurable intelligent soft switch R-SOP; k=1,2,…,K; When the input level At that time, the k-th function selection module processes S and outputs the first control level. The second control level The third control level The fourth control level And respectively to the four corresponding relay switches ~ This causes the first relay switch to switch With the 4th relay switch Disconnect the second relay switch. With the third relay switch The circuit closes, thus enabling the four ports of the reconfigurable intelligent soft switch R-SOP to operate in "SOP mode"; when the input level... At that time, the k-th function selection module processes S and outputs the first control level. The second control level The third control level The fourth control level And respectively to the four corresponding relay switches ~ This causes the first relay switch to switch With the 4th relay switch Close, second relay switch With the third relay switch Disconnect, thereby enabling the four ports of the reconfigurable smart soft switch R-SOP to operate in "SOP mode"; The g-th converter reconfiguration module uses a decoder to... High and low levels ~ After processing, the voltage levels of the e relay switches, each containing only one high-level signal, are obtained. ~ Therefore, based on ~ Control themselves The state of each relay switch ~ One of the states is a closed state, which enables the feeder connected to the relay switch corresponding to the closed state to conduct with the converter VSC corresponding to the g-th converter reconfiguration module, thereby distributing the capacity of the conducted converter VSC to the corresponding feeder; g = 1, 2, ..., G; where, Indicates the first High and low levels, Indicates the first The level of each relay switch, Indicates the first The state of each relay switch; Step 2: Construct the constraints for the power supply restoration model of the power distribution system containing the reconfigurable intelligent soft switch R-SOP; Step 3: Construct the objective function of the power supply restoration model for a distribution system with reconfigurable intelligent soft switch R-SOP based on zone function switching. ; Step 4: The power supply restoration model of the distribution system with reconfigurable intelligent soft switch R-SOP based on partition function switching is transformed into a mixed integer second-order cone programming constraint and then solved to obtain the operation scheme of the distribution system including the action of reconfigurable soft switch R-SOP and the action of all switches.

2. The power supply restoration method for a power distribution system with reconfigurable intelligent soft switch based on partition function switching according to claim 1, characterized in that, Step 2 includes: Step 2.1: Construct the constraints for the reconfigurable intelligent soft switch R-SOP using equations (1)-(10): (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) In equations (1)-(10), , These represent the set of nodes connected to the voltage source converter and the set of all tie switches, respectively. This refers to the number of voltage source converters; Indicates the first A voltage source converter in Whether a node is connected to the voltage source converter at any given time Connected; express Nodes that are always connected to the voltage source converter The status of all connected interconnecting switches; express Nodes that are always connected to the voltage source converter The status of all connected interconnecting switches; express Nodes that are always connected to the voltage source converter The status of all connected interconnecting switches; represent Nodes that are always connected to the voltage source converter The maximum apparent power transmitted across all connected feeders; For the first The capacity of the voltage source converter; , , Represent Time Node The active power, reactive power, and DC-side power transmitted by all connected voltage source converters; represent Time Node Active power losses on all connected voltage source converters; This is the loss coefficient; represent Time of the first Status of each contact switch; represent Nodes that are always connected to the voltage source converter The voltage; represent Nodes that are always connected to the voltage source converter The port open state of the reconfigurable intelligent soft switch R-SOP; The reference voltage for the power distribution system is M; M is a constant. Step 2.2: Construct the virtual power flow constraints for power distribution system reconfiguration using equations (11)-(14): (11) (12) (13) (14) In equations (11)-(14), represent Time Node and nodes Branch roads between A 0-1 integer variable indicating whether the network is connected; yes Time Branch The virtual trend; yes Time Node The current generated by the virtual power source; It is a node Virtual demand; The number of nodes in the power distribution system; It is the set of all nodes in the power distribution system; Step 2.3: Construct the power flow constraints of the distribution system with reconfigurable intelligent soft switch R-SOP based on zone function switching under line faults using equations (15)-(25): (15) (16) (17) (18) (19) (20) (21) (22) (23) (24) (25) In equations (15) to (25); and They are respectively Time Branch The active and reactive power transmitted upstream; and Branch roads Resistance and reactance; and They are respectively Time Node The injected active and reactive power; and for Time Node The reduction in active and reactive loads; for Time Node The voltage; for Time Branch The current transmitted upwards; , They are respectively Time Node The active power output and active power reduction of photovoltaic (PV) systems; for Time Node The reactive power output of photovoltaic (PV) systems; and They are respectively Time Node The active and reactive power consumed by the load; and for Time Node The active and reactive power injected by the reconfigurable intelligent soft switch R-SOP at the location; and These are the upper and lower limits of the node voltage in the power distribution system, respectively. This represents the upper limit of branch current in the power distribution system. For branch circuits in the power distribution system The upper limit of power flow.

3. The power supply restoration method for a power distribution system with reconfigurable intelligent soft switch based on partition function switching according to claim 2, characterized in that, In step 3, the objective function is constructed using equations (26) and (27). : (26) (27) In equations (26)-(27), , These represent power distribution system losses and load reduction, respectively. This represents the total number of moments.

4. The power supply restoration method for a power distribution system with reconfigurable intelligent soft switch based on partition function switching according to claim 3, characterized in that, Step 4 includes the following steps: Step 4.1: Transfer nonlinear variables and Replace them with two linear variables respectively and And the big-M method is used to relax equations (15)-(18) and (21)-(22), so that the transformed linear constraints can be obtained using equations (28)-(33): (28) (29) (30) (31) (32) (33) In equations (28)-(33), and respectively Time Node The square of the voltage at the point, Time Node To the node Branch road The square of the current; Step 4.2: Use equation (34) to transform equation (33) into a second-order cone constraint: (34) In equation (41), T represents transpose; Step 4.3: The power and current transmitted in the branch are decoupled using the big-M method, and the transformed linear constraints are obtained using equations (35)-(37): (35) (36) (37) Step 4.4: Use equation (38) to transform equation (5) into a revolving cone constraint: (38)。 5. An electronic device, comprising a memory and a processor, characterized in that, The memory is used to store a program that supports the processor in executing the power restoration method according to any one of claims 1-4, and the processor is configured to execute the program stored in the memory.

6. A computer-readable storage medium storing a computer program thereon, characterized in that, The computer program, when run by the processor, performs the steps of the power restoration method according to any one of claims 1-4.

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