Power distribution network accident plan auxiliary decision-making method and system based on digital twinning

Abstract

The invention discloses a power distribution network accident plan auxiliary decision-making method and system based on digital twinning. The method comprises the following steps: S101, obtaining a target power distribution network management data set; s102, constructing a target power distribution network digital twinborn model according to the target power distribution network management data set; s103, determining a fault operation scene of a target power distribution network according to the digital twin model of the power distribution network and an operation scene of the target power distribution network, and constructing an anticipated accident set; and S104, constructing an accident plan set according to the target power distribution network anticipated accident set.

Description

Technical Field

[0001] The present invention relates to the technical field of digital twins, and in particular to a distribution network accident plan auxiliary decision-making method and system based on digital twins. Background Art

[0002] With the development of digital technology, digital twin technology has been widely used in all walks of life. Digital twin is a technology that accurately maps physical entities in virtual space. It can reflect the status and changes of physical entities in real time, thereby realizing the monitoring, control and optimization of physical entities. In the field of distribution network management, digital twin technology can be used to build a digital model of the distribution network, simulate the operating status of the distribution network, and predict possible problems, thereby improving the operating efficiency and reliability of the distribution network. At the same time, emergency plan decision-making technology also plays an important role in distribution network management, which can help us formulate reasonable accident handling plans and improve the accident handling and emergency response capabilities of the distribution network. The existing distribution network management technology mainly constructs a physical model of the distribution network, and then simulates and predicts the operating status of the distribution network through experiments or simulations. In addition, the existing emergency plan decision-making technology mainly formulates some general emergency plans through the analysis of historical data. These technologies have improved the operating efficiency and emergency response capabilities of the distribution network to a certain extent.

[0003] However, there are still some problems with the existing distribution network management technology and emergency plan decision-making technology:

[0004] 1. The existing technology mainly simulates and predicts the operating status of the distribution network through experiments or simulations, which cannot accurately reflect the actual status of the distribution network and may lead to inaccurate simulation results.

[0005] 2. Existing fault scenarios usually do not take into account the elements of new business distribution networks, which may lead to incomplete fault scenarios and accident plans.

[0006] 3. The existing accident plans are mainly formulated through the analysis of historical data to develop some general emergency plans. The plans cannot be adjusted according to the real-time operating status of the distribution network, resulting in low efficiency and timeliness of the accident plans. Summary of the invention

[0007] In order to overcome the deficiencies in the prior art, the present invention provides a distribution network accident plan auxiliary decision-making method and system based on digital twin, which realizes the formulation of distribution network accident plan auxiliary strategy through digital twin technology.

[0008] In order to achieve the above-mentioned invention object, the technical solution adopted to solve the technical problem is as follows:

[0009] The present invention discloses a distribution network accident plan auxiliary decision-making method based on digital twin, comprising the following steps:

[0010] Step S101: Acquire a target distribution network management data set;

[0011] Step S102: constructing a target distribution network digital twin model according to the target distribution network management data set;

[0012] Step S103: determining the fault operation scenario of the target distribution network according to the distribution network digital twin model and the target distribution network operation scenario, and constructing an expected accident set;

[0013] Step S104: constructing an accident plan set according to the target distribution network expected accident set.

[0014] Furthermore, in step S101, the target distribution network management data set includes topology information, ledger information, equipment parameters, power outage event information, environmental data and basic grid operation data covering new elements of the distribution network.

[0015] Furthermore, in step S102, by comprehensively considering the data in the target distribution network management data set, a digital twin model is constructed, and the perceived multi-source data is digitally modeled and visualized to achieve a dynamic display of the power grid operation status.

[0016] Furthermore, in step S103, the grid operation scenarios include distributed power grid connection and absorption scenarios, electric vehicle and new load regulation scenarios, multi-energy storage participating in grid interactive regulation scenarios, and microgrid connection and off-grid regulation scenarios; the anticipated accident set includes fault types and fault impact ranges.

[0017] Furthermore, in step S104, the accident plan set includes a backup power supply transfer plan, a power generation vehicle plan without a transfer path, and a black start plan.

[0018] Furthermore, in step S104, an accident plan set is constructed according to the target distribution network expected accident set, including constructing an outgoing line N-1 accident plan:

[0019] The N-1 accident plan simulates power outages for all outgoing lines of the substation in turn and generates an accident plan. The interconnection lines are analyzed according to the power outage lines. If there are interconnection lines, they are switched. The load rate of the interconnection lines after switching is calculated. If they are overloaded, they are not feasible. The load rates of all interconnection lines after switching are compared, and the path with the smallest load rate is selected as the optimal switching path.

[0020] The outgoing line N-1 accident plan includes the following steps:

[0021] Restore outgoing power: The optimal transfer path planning is carried out with the lowest load rate of the interconnected line after interconnection as the objective function. The objective function can be expressed as:

[0022]

[0023] In the formula, R is the optimal transfer path of the power outage line; is the load rate of each contact line after contact; m is the number of contact lines;

[0024] The calculation formulas for the tie line load after connection and the load rate after connection are as follows:

[0025]

[0026] In the formula, X i 0 The load of the power outage line; The limit for each contact line; is the current load of each tie line; The load after each tie line is connected;

[0027] The constraints that the optimization model must follow are as follows:

[0028]

[0029] The steps to solve the model are as follows:

[0030] Analyze all contact points and contact lines after the current line power outage;

[0031] According to the line load, the current load of the tie line, and the tie line limit, calculate the tie line load after the tie and the tie line load rate after the tie;

[0032] Compare the load rates of each interconnection line after interconnection, and select the path with the smallest load rate as the optimal power transfer path for the power outage line.

[0033] Furthermore, in step S104, an accident plan set is constructed according to the target distribution network expected accident set, and also includes constructing an outgoing line N-1 accident plan:

[0034] The NN accident plan first analyzes the reverse transmission lines after the substation power outage, and restores the substation through the reverse transmission lines; reverse transmission is performed if there is a reverse transmission power supply, and the load margin of each reverse transmission power supply is calculated, and the power supply with the largest load margin is selected as the optimal reverse transmission path;

[0035] Then analyze whether other outgoing lines on the reverse bus can also be powered by it. According to the rated capacity of the reverse power supply main transformer, the reverse power supply load margin, and the load of each outgoing line of the reverse bus, calculate all the outgoing lines that can be powered by the reverse line load margin;

[0036] For other outgoing lines that cannot supply power, restore power supply according to the N-1 accident plan;

[0037] The NN accident plan includes the following steps:

[0038] ③Restore station power supply

[0039] The optimal reverse transmission path planning is carried out with the maximum reverse transmission power load margin as the objective function. The objective function can be expressed as:

[0040]

[0041] In the formula, S is the optimal reverse path; is the load margin of each reverse power supply; m is the number of reverse power supplies;

[0042] The calculation formula for reverse power supply load margin is as follows:

[0043]

[0044] In the formula, The rated capacity of each reverse power supply; is the current load of each reverse power supply; The load margin of each reverse power supply;

[0045] The constraints that the optimization model must follow are as follows:

[0046]

[0047] The steps to solve the model are as follows:

[0048] First, analyze all the reverse transmission lines after the substation power outage, and according to the rated capacity of the reverse transmission power source, the current load, and the calculated load margin, select the reverse transmission power source with the largest load margin as the optimal reverse transmission path to restore the station transformer;

[0049] Then analyze all outgoing lines on the reverse bus that can be powered by it, and calculate all outgoing lines that can be powered by the reverse power supply according to the load margin of the reverse power supply and the load of each outgoing line of the reverse bus;

[0050] ④Restore outgoing power supply:

[0051] Restore power to other outgoing lines that cannot be powered by the N-1 accident plan according to the N-1 accident plan handling rules.

[0052] The present invention also discloses a distribution network accident plan auxiliary decision-making system based on digital twins, including a data acquisition module, a digital twin construction module, a fault simulation module, and an accident plan module, wherein:

[0053] The data acquisition module is used to obtain a target distribution network management data set;

[0054] The digital twin construction module is used to construct a target distribution network digital twin model according to the target distribution network management data set;

[0055] The fault simulation module is used to simulate various fault scenarios according to the power grid operation scenario, simulate the fault location and isolation action after the power outage, define the fault type, and construct the expected accident set;

[0056] The accident plan module is used to construct an accident plan set according to the target distribution network expected accident set.

[0057] Furthermore, the data acquisition module includes a substation master meter, a substation intelligent fusion terminal, a smart meter, a HPLC, and a fault recorder.

[0058] Furthermore, the target distribution network management data set includes topology information, ledger information, equipment parameters, power outage event information, environmental data and basic grid operation data covering new elements of the distribution network, wherein:

[0059] The topology information includes connection relationships of components;

[0060] The ledger information includes substation ledger, line ledger, distribution transformer ledger, distributed power source ledger, and flexible load ledger;

[0061] The equipment parameters include the model, rated voltage, and rated current of the equipment, and the operation data include the current, voltage, and power of the equipment;

[0062] The power outage event information includes fault type, fault time, fault location, fault impact range, and fault risk level;

[0063] The environmental data includes temperature value, humidity value and air pressure value;

[0064] The basic operation data of the power grid include voltage, current and load.

[0065] Furthermore, the digital twin construction module monitors the operating status of the elements of the integrated new business grid, enables the virtual grid to operate synchronously with the physical grid, digitally models and visualizes the perceived multi-source data, and realizes dynamic display of the grid operation status.

[0066] Furthermore, the grid operation scenarios include distributed power grid connection and absorption scenarios, electric vehicle and new load regulation scenarios, multi-energy storage participating in grid interactive regulation scenarios, and microgrid connection and off-grid regulation scenarios; the anticipated accident set includes fault types and fault impact ranges.

[0067] Furthermore, the accident plan set includes a backup power supply transfer plan, a power generation vehicle plan without a transfer path, and a black start plan.

[0068] Due to the adoption of the above technical solution, the present invention has the following advantages and positive effects compared with the prior art:

[0069] 1. By constructing a digital twin model covering new business elements of the distribution network, the present invention can more accurately reflect the real state of the distribution network, improve the accuracy of the simulation results, and thus improve the operating efficiency and reliability of the distribution network.

[0070] 2. The present invention constructs an accident plan set and a power supply restoration plan according to different operation scenarios, thereby improving the comprehensiveness and practicality of the accident plan.

[0071] 3. The present invention dynamically generates accident plans according to the real-time status of the distribution network, thereby improving the accident handling and emergency response capabilities of the distribution network, thereby improving the reliability of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0073] Figure 1 A schematic diagram of a flow chart of a distribution network accident plan auxiliary decision-making method based on digital twins proposed in the present invention;

[0074] Figure 2 Schematic diagram of the N-1 accident plan process provided in the embodiment of the present application;

[0075] Figure 3 NN accident plan flow diagram provided in the embodiment of the present application;

[0076] Figure 4 It is a structural diagram of a distribution network accident plan auxiliary decision-making system based on digital twins provided in an embodiment of the present application.

[0077]

Explanation of main symbols

[0078] 300-Distribution network accident plan auxiliary decision-making system based on digital twin; 301-Data acquisition module; 302-Digital twin construction module; 303-Fault simulation module; 304-Accident plan module. DETAILED DESCRIPTION

[0079] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0080] Embodiment 1

[0081] like Figure 1 As shown, this embodiment discloses a distribution network accident plan auxiliary decision-making method based on digital twins, which includes but is not limited to the following steps:

[0082] Step S101: Acquire a target distribution network management data set;

[0083] Specifically, in step S101, the target distribution network management data set includes topological information, ledger information, equipment parameters, power outage event information, environmental data and basic grid operation data covering new elements of the distribution network. Among them, the topological structure information of the distribution network represents the physical layout and connection mode of the distribution network, that is, the connection mode of each node (such as substation, distribution room, etc.) and branch (such as transmission line, feeder, etc.) in the grid, the equipment parameters represent the technical indicators of each device in the distribution network, which may include the rated capacity of the transformer, etc., and the power outage event information may include the cause of the power outage, the scope of the power outage, the duration of the power outage, etc.

[0084] Step S102: constructing a target distribution network digital twin model according to the target distribution network management data set;

[0085] Specifically, in step S102, by comprehensively considering the data in the target distribution network management data set, a digital twin model is constructed, and the perceived multi-source data is digitally modeled and visualized to achieve a dynamic display of the power grid operation status.

[0086] Step S103: determining the fault operation scenario of the target distribution network according to the distribution network digital twin model and the target distribution network operation scenario, and constructing an expected accident set;

[0087] Specifically, in step S103, the grid operation scenarios include distributed power grid connection and absorption scenarios, electric vehicle and new load regulation scenarios, multi-energy storage participating in grid interactive regulation scenarios, and microgrid connection and off-grid regulation scenarios; the expected accident set includes fault types and fault impact ranges, etc.

[0088] Step S104: constructing an accident plan set according to the target distribution network expected accident set.

[0089] Specifically, in step S104, the accident plan set includes a backup power supply transfer plan, a power generation vehicle plan without a transfer path, a black start plan, etc.

[0090] In the above step S104, an accident plan set is constructed according to the target distribution network expected accident set, including constructing an outgoing line N-1 accident plan and an NN whole station power outage accident plan.

[0091] See also Figure 2 , Figure 2 This is a schematic diagram of the N-1 accident plan process provided by the embodiment of the present application:

[0092] The N-1 accident plan simulates power outages for all outgoing lines of the substation in turn and generates an accident plan. The interconnection lines are analyzed according to the power outage lines. If there are interconnection lines, they are switched. The load rate of the interconnection lines after switching is calculated. If they are overloaded, they are not feasible. The load rates of all interconnection lines after switching are compared, and the path with the smallest load rate is selected as the optimal switching path.

[0093] The outgoing line N-1 accident plan includes the following steps:

[0094] Restore outgoing power: The optimal transfer path planning is carried out with the lowest load rate of the interconnected line after interconnection as the objective function. The objective function can be expressed as:

[0095]

[0096] In the formula, R is the optimal transfer path of the power outage line; is the load rate of each contact line after contact; m is the number of contact lines;

[0097] The calculation formulas for the tie line load after connection and the load rate after connection are as follows:

[0098]

[0099] In the formula, The load of the power outage line; The limit for each contact line; is the current load of each tie line; The load after each tie line is connected;

[0100] The constraints that the optimization model must follow are as follows:

[0101]

[0102] The steps to solve the model are as follows:

[0103] Analyze all contact points and contact lines after the current line power outage;

[0104] According to the line load, the current load of the tie line, and the tie line limit, calculate the tie line load after the tie and the tie line load rate after the tie;

[0105] Compare the load rates of each interconnection line after interconnection, and select the path with the smallest load rate as the optimal power transfer path for the power outage line.

[0106] See also Figure 3 , Figure 3 This is a schematic diagram of the NN accident plan process provided by the embodiment of the present application:

[0107] The NN accident plan first analyzes the reverse transmission lines after the substation power outage, and restores the substation through the reverse transmission lines; reverse transmission is performed if there is a reverse transmission power supply, and the load margin of each reverse transmission power supply is calculated, and the power supply with the largest load margin is selected as the optimal reverse transmission path;

[0108] Then analyze whether other outgoing lines on the reverse bus can also be powered by it. According to the rated capacity of the reverse power supply main transformer, the reverse power supply load margin, and the load of each outgoing line of the reverse bus, calculate all the outgoing lines that can be powered by the reverse line load margin;

[0109] For other outgoing lines that cannot supply power, restore power supply according to the N-1 accident plan;

[0110] The NN accident plan includes the following steps:

[0111] ⑤Restore station power supply

[0112] The optimal reverse transmission path planning is carried out with the maximum reverse transmission power load margin as the objective function. The objective function can be expressed as:

[0113]

[0114] In the formula, S is the optimal reverse path; is the load margin of each reverse power supply; m is the number of reverse power supplies;

[0115] The calculation formula for reverse power supply load margin is as follows:

[0116]

[0117] In the formula, The rated capacity of each reverse power supply; is the current load of each reverse power supply; The load margin of each reverse power supply;

[0118] The constraints that the optimization model must follow are as follows:

[0119]

[0120] The steps to solve the model are as follows:

[0121] First, analyze all the reverse transmission lines after the substation power outage, and according to the rated capacity of the reverse transmission power source, the current load, and the calculated load margin, select the reverse transmission power source with the largest load margin as the optimal reverse transmission path to restore the station transformer;

[0122] Then analyze all outgoing lines on the reverse bus that can be powered by it, and calculate all outgoing lines that can be powered by the reverse power supply according to the load margin of the reverse power supply and the load of each outgoing line of the reverse bus;

[0123] ⑥Restore outgoing power supply:

[0124] Restore power to other outgoing lines that cannot be powered by the N-1 accident plan according to the N-1 accident plan handling rules.

[0125] Embodiment 2

[0126] like Figure 4 As shown, the present invention also discloses a distribution network accident plan auxiliary decision-making system 300 based on digital twins, including a data acquisition module 301, a digital twin construction module 302, a fault simulation module 303, and an accident plan module 304, wherein:

[0127] The data acquisition module 301 is used to obtain a target distribution network management data set;

[0128] Furthermore, the data acquisition module 301 includes a substation master meter, a substation intelligent fusion terminal, a smart meter, an HPLC, a fault recorder, etc. The target distribution network management data set includes topological information, ledger information, equipment parameters, power outage event information, environmental data and basic grid operation data covering new elements of the distribution network, including:

[0129] The topology information includes connection relationships of components, etc.

[0130] The ledger information includes substation ledger, line ledger, distribution transformer ledger, distributed power source ledger, and flexible load ledger;

[0131] The equipment parameters include the equipment model, rated voltage, rated current, etc., and the operation data include the equipment current, voltage, power, etc.;

[0132] The power outage event information includes fault type, fault time, fault location, fault impact range, fault risk level, etc.;

[0133] The environmental data includes temperature value, humidity value and air pressure value;

[0134] The basic operation data of the power grid include voltage, current, load, etc.

[0135] The digital twin construction module 302 is used to construct a target distribution network digital twin model according to the target distribution network management data set;

[0136] Furthermore, the digital twin construction module 302 monitors the operating status of the elements of the integrated new business grid, enables the virtual grid to operate synchronously with the physical grid, digitally models and visualizes the perceived multi-source data, and realizes the dynamic display of the grid operation status.

[0137] The fault simulation module 303 is used to simulate various fault scenarios according to the power grid operation scenario, including the specific power outage location (switch, switch station, distribution station) and the power outage range, simulate the fault location and isolation action after the power outage, define the fault type (equipment failure, natural disaster, external force damage, etc.), and construct an expected accident set.

[0138] Furthermore, the grid operation scenarios include distributed power grid connection and absorption scenarios, electric vehicle and new load regulation scenarios, multi-energy storage participating in grid interactive regulation scenarios, and microgrid connection and off-grid regulation scenarios; the anticipated accident set includes fault types and fault impact scope, etc.

[0139] The accident plan module 304 is used to construct an accident plan set according to the target distribution network expected accident set.

[0140] Furthermore, the accident plan set includes a backup power supply transfer plan, a power generation vehicle plan without a transfer path, a black start plan, etc.

[0141] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A distribution network accident plan auxiliary decision-making method based on digital twin, characterized in that: The following steps are involved: Step S101: Acquire a target distribution network management data set; Step S102: constructing a target distribution network digital twin model according to the target distribution network management data set; Step S103: determining the fault operation scenario of the target distribution network according to the distribution network digital twin model and the target distribution network operation scenario, and constructing an expected accident set; Step S104: constructing an accident plan set according to the target distribution network expected accident set.

2. According to the digital twin-based distribution network accident plan auxiliary decision-making method according to claim 1, it is characterized in that: In step S101, the target distribution network management data set includes topology information, ledger information, equipment parameters, power outage event information, environmental data and basic grid operation data covering new elements of the distribution network.

3. According to the digital twin-based distribution network accident plan auxiliary decision-making method of claim 1, it is characterized in that: In step S102, by comprehensively considering the data in the target distribution network management data set, a digital twin model is constructed, and the perceived multi-source data is digitally modeled and visualized to achieve a dynamic display of the power grid operation status.

4. According to the digital twin-based distribution network accident plan auxiliary decision-making method of claim 1, it is characterized in that: In step S103, the grid operation scenarios include distributed power grid connection and consumption scenarios, electric vehicle and new load regulation scenarios, multi-energy storage participating in grid interactive regulation scenarios, and microgrid connection and off-grid regulation scenarios; the expected accident set includes fault types and fault impact ranges.

5. The distribution network accident plan auxiliary decision-making method based on digital twin according to claim 1 is characterized in that: In step S104, the accident plan set includes a backup power supply transfer plan, a power generation vehicle plan without a transfer path, and a black start plan.

6. The distribution network accident plan auxiliary decision-making method based on digital twin according to claim 1 is characterized in that: In step S104, an accident plan set is constructed according to the target distribution network expected accident set, including constructing an outgoing line N-1 accident plan: The N-1 accident plan simulates power outages for all outgoing lines of the substation in turn and generates an accident plan. The interconnection lines are analyzed according to the power outage lines. If there are interconnection lines, they are switched. The load rate of the interconnection lines after switching is calculated. If they are overloaded, they are not feasible. The load rates of all interconnection lines after switching are compared, and the path with the smallest load rate is selected as the optimal switching path. The outgoing line N-1 accident plan includes the following steps: Restore outgoing power: The optimal transfer path planning is carried out with the lowest load rate of the interconnected line after interconnection as the objective function. The objective function can be expressed as: In the formula, R is the optimal transfer path of the power outage line; is the load rate of each contact line after contact; m is the number of contact lines; The calculation formulas for the tie line load after connection and the load rate after connection are as follows: In the formula, The load of the power outage line; The limit for each contact line; is the current load of each tie line; The load after each tie line is connected; The constraints that the optimization model must follow are as follows: The steps to solve the model are as follows: Analyze all contact points and contact lines after the current line power outage; According to the line load, the current load of the tie line, and the tie line limit, calculate the tie line load after the tie and the tie line load rate after the tie; Compare the load rates of each interconnection line after interconnection, and select the path with the smallest load rate as the optimal power transfer path for the power outage line.

7. The distribution network accident plan auxiliary decision-making method based on digital twin according to claim 1 is characterized in that: In step S104, an accident plan set is constructed according to the target distribution network expected accident set, and also includes constructing an outgoing line N-1 accident plan: The NN accident plan first analyzes the reversible lines after the substation power outage, and restores the station transformer through the reversing lines; If there is a reverse power supply, reverse it, calculate the load margin of each reverse power supply, and select the power supply with the largest load margin as the optimal reverse path; Then analyze whether other outgoing lines on the reverse bus can also be powered by it. According to the rated capacity of the reverse power supply main transformer, the reverse power supply load margin, and the load of each outgoing line of the reverse bus, calculate all the outgoing lines that can be powered by the reverse line load margin; For other outgoing lines that cannot supply power, restore power supply according to the N-1 accident plan; The NN accident plan includes the following steps: ①Restore station power supply The optimal reverse transmission path planning is carried out with the maximum reverse transmission power load margin as the objective function. The objective function can be expressed as: In the formula, S is the optimal reverse delivery path; is the load margin of each reverse power supply; m is the number of reverse power supplies; The calculation formula for reverse power supply load margin is as follows: In the formula, The rated capacity of each reverse power supply; is the current load of each reverse power supply; The load margin of each reverse power supply; The constraints that the optimization model must follow are as follows: The steps to solve the model are as follows: Firstly, all the reverse transmission lines after the substation power outage are analyzed. According to the rated capacity of the reverse transmission power source, the current load, and the calculated load margin, the reverse transmission power source with the largest load margin is selected as the optimal reverse transmission path to restore the substation transformer; Then analyze all outgoing lines on the reverse bus that can be powered by it, and calculate all outgoing lines that can be powered by the reverse power supply according to the load margin of the reverse power supply and the load of each outgoing line of the reverse bus; ②Restore outgoing power supply: Restore power to other outgoing lines that cannot be powered by the N-1 accident plan according to the N-1 accident plan handling rules.

8. A distribution network accident plan auxiliary decision-making system based on digital twin, characterized in that: It includes data acquisition module, digital twin construction module, fault simulation module and accident plan module, among which: The data acquisition module is used to obtain a target distribution network management data set; The digital twin construction module is used to construct a target distribution network digital twin model according to the target distribution network management data set; The fault simulation module is used to simulate various fault scenarios according to the power grid operation scenario, simulate the fault location and isolation action after the power outage, define the fault type, and construct the expected accident set; The accident plan module is used to construct an accident plan set according to the target distribution network expected accident set.

9. The distribution network accident plan auxiliary decision-making system based on digital twin according to claim 8 is characterized in that: The data acquisition module includes a substation master meter, a substation intelligent fusion terminal, a smart meter, a HPLC, and a fault recorder.

10. The distribution network accident plan auxiliary decision-making system based on digital twin according to claim 8, characterized in that: The target distribution network management data set includes topological information, ledger information, equipment parameters, power outage event information, environmental data and basic grid operation data covering new elements of the distribution network, including: The topology information includes connection relationships of components; The ledger information includes substation ledger, line ledger, distribution transformer ledger, distributed power source ledger, and flexible load ledger; The equipment parameters include the model, rated voltage, and rated current of the equipment, and the operation data include the current, voltage, and power of the equipment; The power outage event information includes fault type, fault time, fault location, fault impact range, and fault risk level; The environmental data includes temperature value, humidity value and air pressure value; The basic operation data of the power grid include voltage, current and load.

11. The distribution network accident plan auxiliary decision-making system based on digital twin according to claim 8, characterized in that: The digital twin construction module monitors the operating status of the elements of the integrated new business grid, enables the virtual grid to operate synchronously with the physical grid, digitally models and visualizes the perceived multi-source data, and realizes the dynamic display of the grid operation status.

12. The distribution network accident plan auxiliary decision-making system based on digital twin according to claim 8, characterized in that: The grid operation scenarios include distributed power grid connection and consumption scenarios, electric vehicle and new load regulation scenarios, multi-energy storage participating in grid interactive regulation scenarios, and microgrid connection and off-grid regulation scenarios; the anticipated accident set includes fault types and fault impact scope.

13. The distribution network accident plan auxiliary decision-making system based on digital twin according to claim 8, characterized in that: The accident plan set includes a backup power supply transfer plan, a generator vehicle plan without a transfer path, and a black start plan.

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