Method and system for recovering power supply of power distribution network after fault

Abstract

The invention discloses a method and a system for recovering power supply of a power distribution network after a fault. The method comprises the following steps: reconstructing to obtain a reconstructed topology network of a target power distribution network; acquiring real-time voltage response data of the reconstruction topology network for continuously changing power simulation, and calculating voltage sensitivity among nodes; modeling the acquired data to obtain a power supply recovery model; operating the power supply recovery model to obtain optimal power supply power-time curve data corresponding to each power resource unit; and controlling each power resource unit to perform power supply recovery on the target power distribution network after the fault according to the corresponding optimal power supply power-time curve data. According to the method, the power supply output time curve of each different-flexibility output power resource under the condition that the power supply recovery model gives consideration to the recovery speed and the voltage recovery stability is acquired, so that the power recovery resources can be utilized more fully and reasonably, the power fluctuation in the recovery process is balanced, and stable recovery and operation of the power distribution network are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution network voltage optimization, and in particular to a method and system for power supply restoration of a power distribution network after a fault. Background Art

[0002] As an indispensable infrastructure in modern society, the stable operation of the power system is of great significance to social development. A stable power system can ensure the normal operation of infrastructure such as water supply, heating, lighting, and communications.

[0003] However, the power system also faces many risks during operation, such as equipment failure, short circuit, overload and other problems, which may lead to system paralysis and cause huge losses to society. Therefore, ensuring the rapid recovery of the power system after a failure is crucial to ensuring social stability and economic development. In addition, in addition to quickly restoring power supply, the quality of power restoration must also be guaranteed.

[0004] It can be seen that how to perform power supply recovery control on a distribution network after a fault has become a technical problem that needs to be solved urgently by those skilled in the art. Summary of the invention

[0005] The present invention provides a method and system for power supply recovery of a distribution network after a fault, so as to realize stable and rapid power supply recovery control of the distribution network after a fault.

[0006] In order to solve the above technical problems, an embodiment of the present invention provides a method for restoring power supply of a distribution network after a fault, comprising:

[0007] In the power supply simulation restoration stage, the historical power supply restoration data after the fault in the target distribution network area is reconstructed to obtain the reconstructed topology network of the target distribution network.

[0008] A continuously changing power simulation is applied to the reconstructed topology network to obtain real-time voltage response data of the reconstructed topology network, and the voltage sensitivity between each node of the reconstructed topology network is calculated according to each real-time voltage response data.

[0009] The power attribute data of each power resource unit acquired for power restoration of the target distribution network after a fault, the connection relationship data between the nodes, the voltage sensitivity and the power restoration demand data of each node are modeled to obtain a power restoration model.

[0010] A preset power supply restoration efficiency objective function is constructed based on voltage fluctuations, and the power supply restoration model is run under the power supply restoration efficiency objective function to obtain optimal power supply power-time curve data corresponding to each of the power resource units.

[0011] In the actual power supply restoration stage, each of the power resource units is controlled to use the corresponding optimal power supply power-time curve data to restore power supply to the target distribution network after the fault.

[0012] Furthermore, applying a continuously changing power simulation to the reconstructed topology network, obtaining real-time voltage response data of the reconstructed topology network, and calculating the voltage sensitivity between each node of the reconstructed topology network according to each real-time voltage response data, includes:

[0013] According to various load fluctuations in the actual operation of the power system, a continuously changing power simulation is applied to the reconstructed topology network to obtain real-time voltage response data of the reconstructed topology network.

[0014] The power flow equation of each node is expanded to 24 time periods by using the time series analysis method, and the voltage sensitivity is calculated according to the real-time voltage response data for 24 hours in a natural day to obtain the voltage sensitivity coefficient matrix of the 24 time periods.

[0015] Furthermore, the electric power resource unit includes at least a wind power generation resource unit, a photovoltaic power generation resource unit, a fuel power generation resource unit and an electric energy storage resource unit.

[0016] Furthermore, the preset power supply restoration efficiency objective function is constructed based on voltage fluctuations, and the power supply restoration model is operated under the power supply restoration efficiency objective function to obtain the optimal power supply power-time curve data corresponding to each of the power resource units, including:

[0017] Taking minimizing the hourly average voltage fluctuation and maximizing the power supply restoration efficiency as the objective function, the power supply restoration model is simulated according to the output characteristics of each of the power resource units, and the power supply restoration data of the power supply restoration model from the beginning of power supply restoration to the formation of a relatively stable power supply state is obtained.

[0018] The optimal power supply power-time curve of each of the electric power resource units under the objective function is obtained according to the power supply restoration data.

[0019] Further, after the control uses each of the electric resource units to restore power supply to the target distribution network after the fault with the corresponding optimal power supply power-time curve data, it also includes:

[0020] The target distribution network after power supply restoration is subjected to voltage sag disturbance and frequency disturbance to obtain disturbance response data of the target distribution network.

[0021] The disturbance response data is analyzed and processed to obtain an evaluation result of the stability and regulation capability of the target distribution network after power supply restoration, and the power supply restoration model is optimized and adjusted according to the evaluation result.

[0022] Another embodiment of the present invention provides a power supply restoration system for a distribution network after a fault, comprising:

[0023] The network reconstruction module is used to reconstruct the historical power supply restoration data after the fault in the target distribution network area during the power supply simulation restoration stage to obtain the reconstructed topology network of the target distribution network.

[0024] The sensitivity calculation module is used to apply continuously changing power simulation to the reconstructed topology network, obtain real-time voltage response data of the reconstructed topology network, and calculate the voltage sensitivity between each node of the reconstructed topology network according to each real-time voltage response data.

[0025] The model building module is used to model the power attribute data of each power resource unit acquired for power restoration of the target distribution network after a fault, the connection relationship data between the nodes, the voltage sensitivity and the power supply restoration demand data of each node, so as to obtain a power supply restoration model.

[0026] The model operation module is used to construct a preset power supply restoration efficiency objective function based on voltage fluctuations, and run the power supply restoration model under the power supply restoration efficiency objective function to obtain the optimal power supply power-time curve data corresponding to each of the power resource units.

[0027] The power supply restoration module is used to control the use of each of the power resource units to restore power to the target distribution network after a fault with the corresponding optimal power supply power-time curve data during the actual power supply restoration stage.

[0028] Furthermore, the sensitivity calculation module includes:

[0029] The power simulation unit is used to apply continuously changing power simulation to the reconstructed topology network according to various load fluctuations in the actual operation of the power system, and obtain real-time voltage response data of the reconstructed topology network.

[0030] The data analysis unit is used to use the time series analysis method to expand the power flow equation of each node to 24 time periods, calculate the voltage sensitivity of each node according to the real-time voltage response data for 24 hours in a natural day, and obtain the voltage sensitivity coefficient matrix of the 24 time periods.

[0031] Furthermore, the electric power resource unit includes at least a wind power generation resource unit, a photovoltaic power generation resource unit, a fuel power generation resource unit and an electric energy storage resource unit.

[0032] Furthermore, the model operation module includes:

[0033] The power supply restoration simulation unit is used to minimize the average hourly voltage fluctuation and maximize the power supply restoration efficiency as the objective function, perform power supply restoration simulation on the power supply restoration model according to the output characteristics of each of the power resource units, and obtain power supply restoration data of the power supply restoration model from the beginning of power supply restoration to the formation of a relatively stable power supply state.

[0034] A data processing unit is used to obtain the optimal power supply power-time curve of each of the power resource units under the objective function according to the power supply restoration data.

[0035] Furthermore, the system also includes a model optimization module:

[0036] The data disturbance unit is used to perform voltage sag disturbance and frequency disturbance on the target distribution network after power supply restoration, so as to obtain disturbance response data of the target distribution network.

[0037] The stability evaluation unit is used to analyze and process the disturbance response data to obtain the stability and regulation capability evaluation results of the target distribution network after power supply is restored, and optimize and adjust the power supply restoration model according to the evaluation results.

[0038] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0039] (1) Apply power simulation to the reconstructed topology network, obtain the sensitivity of each node in the network based on the response data, and exclude nodes with low sensitivity in the network based on the sensitivity data, so as to flexibly and reasonably arrange the allocation and scheduling of power resources based on the voltage sensitivity data of each available node in the network;

[0040] (2) With the goal of minimizing the hourly average voltage fluctuation and maximizing the power supply restoration efficiency, the power supply restoration model obtains the power supply output time curves of various flexible power resources while taking into account the restoration speed and voltage restoration stability. This can make more full and reasonable use of power restoration resources, balance the power fluctuations during the restoration process, and ensure the stable restoration and operation of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A flowchart of the steps of a method for restoring power supply in a distribution network after a fault provided by an embodiment of the present invention;

[0042] Figure 2 A structural block diagram of a power distribution network power restoration system after a fault provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. 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.

[0044] In the description of this application, the terms "first", "second", "third", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of the feature. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0045] In the description of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. The terms "vertical", "horizontal", "left", "right", "upper", "lower" and similar expressions used herein are only for illustrative purposes, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0046] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as those commonly understood by those skilled in the art. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood by specific circumstances.

[0047] An embodiment of the present invention provides a method for restoring power supply of a distribution network after a fault. For details, see Figure 1 , Figure 1 The flowchart of the method for restoring power supply of a distribution network after a fault in one embodiment of the present invention includes steps S11 to S15:

[0048] Step S11, in the power supply simulation restoration stage, reconstructing the historical power supply restoration data after the fault in the target distribution network area to obtain a reconstructed topology network of the target distribution network.

[0049] Evaluate and utilize flexible resources such as mobile emergency power supplies and energy storage systems in the distribution network to restore power supply to the distribution network after a fault, ensure power supply to the user end, improve the flexibility of the distribution network, and provide a reconstructed network topology model for voltage sensitivity calculation and voltage optimization.

[0050] Step S12, applying continuously changing power simulation to the reconstructed topology network, acquiring real-time voltage response data of the reconstructed topology network, and calculating voltage sensitivity between nodes of the reconstructed topology network according to the real-time voltage response data.

[0051] In the power system restored after a fault, the stability of the power system is relatively fragile, and various load fluctuations in actual operation have an important impact on the stability and efficiency of the power grid. Load fluctuations may cause voltage fluctuations, frequency deviations, and even cause power grid collapse, posing a threat to the stable operation of the power system.

[0052] After reconstructing the topology network, it is necessary to perform a continuously changing power simulation on the network. This simulation can evaluate the performance of the reconstructed network under different load conditions, including voltage stability, power loss, etc. Through continuous power simulation, real-time voltage response data of the reconstructed topology network can be obtained, providing an important basis for subsequent optimization and adjustment.

[0053] In order to make the data more accurately reflect the voltage stability of the power system in a natural day, the time series analysis method is used to expand the power flow equation of each node to 24 time periods, and the voltage sensitivity of the 24 hours in a natural day is calculated according to the real-time voltage response data to obtain the voltage sensitivity coefficient matrix of the 24 time periods. Specifically, the calculation process of the voltage sensitivity coefficient matrix is ​​as follows:

[0054] Based on the single-period power flow calculation, the Jacobian matrix is ​​solved, divided into blocks, and then its block sub-matrices are removed and The node voltage can be obtained by processing the matrix and In the above four equations, U represents the voltage of each node, δ represents the voltage phase angle of each node, P represents the active power of each node, and Q represents the reactive power of each node. By inverting N' and L' respectively, we can get the active voltage sensitivity coefficient and reactive voltage sensitivity coefficient

[0055] Predict the load data for each hour of the day, including active load and reactive load. Use the time series analysis method to expand the power flow equation to 24 time periods. Calculate the voltage sensitivity for each 24 hours in a day to obtain the active voltage sensitivity coefficient matrix Plt and reactive voltage sensitivity coefficient matrix Qlt for the 24 time periods.

[0056] After obtaining the 24-period voltage sensitivity coefficient matrix, first calculate the average voltage sensitivity of each node. Since the higher the active / reactive voltage sensitivity coefficient, the better voltage optimization effect can be achieved by applying the same amount of active / reactive power. In order to characterize this coefficient in power calculation, it is necessary to take the inverse of the parameter in the average voltage sensitivity to obtain the average electrical distance, and then normalize the average electrical distance to obtain the active weight coefficient quan_P and reactive weight coefficient quan_Q that finally characterize the optimized power parameters.

[0057] The reason for converting voltage sensitivity into a weight coefficient is that the regulation effect cannot be represented in the function, so a weight coefficient is introduced to represent the voltage optimization power. The greater the voltage sensitivity, the smaller the weight coefficient, which means the lower the operating power and the higher the priority.

[0058] Step S13, modeling the acquired power attribute data of each power resource unit for power restoration of the target distribution network after a fault, the connection relationship data between the nodes, the voltage sensitivity and the power restoration demand data of each node to obtain a power restoration model.

[0059] The power supply restoration model can provide intuitive fault recovery solutions and operation strategy suggestions for power dispatchers, helping them make more scientific and reasonable decisions. Therefore, it is necessary to build a power supply restoration model based on the acquired data, specifically:

[0060] The power attribute data of the power resource units, such as capacity, efficiency, status, etc., are obtained from the monitoring system of the distribution network and the management system of the power resource units. The power resource units include wind power resource units, photovoltaic power generation resource units, fuel power generation resource units, and power energy storage resource units, etc.

[0061] The connection relationship data between nodes is obtained through the topological structure of the distribution network. The power supply restoration needs of each node are evaluated, which is usually based on factors such as the node load, user priority and fault impact range.

[0062] Based on the above data, a power supply restoration model that reflects the power supply system and power supply demand is constructed. The power supply restoration model obtained by modeling the target distribution network after the fault plays an important role in optimizing resource allocation, improving restoration efficiency and reliability, supporting intelligent decision-making and optimized operation, and promoting technological innovation and development.

[0063] Step S14, constructing a preset power supply restoration efficiency objective function based on voltage fluctuations, and running the power supply restoration model under the power supply restoration efficiency objective function to obtain optimal power supply power-time curve data corresponding to each of the power resource units.

[0064] In power restoration, it is necessary to maximize the efficiency of power restoration and reduce the duration and scope of power outages. On this basis, since the power system after a fault is relatively fragile and has poor stability, it is necessary to reduce voltage fluctuations while ensuring power restoration efficiency. By minimizing the average hourly voltage fluctuations, the model can ensure that the grid voltage fluctuates within the allowable range and avoid damage to grid equipment and user equipment caused by excessively high or low voltage.

[0065] Taking minimizing the average voltage fluctuation per hour and maximizing the power restoration efficiency as the objective functions, minimizing the average voltage fluctuation per hour is the first objective function, and maximizing the power restoration efficiency is the second objective function, where the first objective function is:

[0066]

[0067] Where t represents the time, i represents the node number, and Ω T represents the set of all moments, Ω b represents the set of all numbers, V is the node voltage, V n is the rated voltage of the distribution network.

[0068] The second objective function is:

[0069]

[0070] in, The power purchased from the upper power grid; Ω s Represents the set of all electricity purchasing nodes; It is the reactive power interaction with the upper power grid; and are the charging / discharging power of the energy storage system respectively; and They are respectively the charging / discharging power of the mobile emergency power supply; is the reactive power of the static VAR compensator; N is the number of group-switching capacitor groups in operation. is the coefficient of interaction power with the upper power grid; c ES is the coefficient of charging / discharging power of the energy storage system; c MEG is the coefficient of charging and discharging power of the mobile emergency power supply; c SVC is the coefficient of static VAR compensator power; c CB is the power coefficient of the grouped switching capacitor bank. quan_P is the active weight coefficient; quan_Q is the reactive weight coefficient.

[0071] According to the output characteristics of each power resource unit, a power supply restoration simulation is performed on the power supply restoration model to obtain power supply restoration data from the beginning of power supply restoration to the formation of a relatively stable power supply state.

[0072] According to the power supply restoration data, the power supply restoration output data of each power resource unit under the conditions of minimizing the hourly average voltage fluctuation and maximizing the power supply restoration efficiency are obtained, and according to the power supply restoration output data, the optimal power supply power-time curve of each power resource unit is obtained.

[0073] Step S15, in the actual power supply restoration stage, controlling each of the power resource units to restore power supply to the target distribution network after the fault using the corresponding optimal power supply power-time curve data.

[0074] After power restoration, although the power system is restored, its anti-disturbance performance is slightly insufficient compared with the normal power system. Therefore, disturbance testing and evaluation are important steps to ensure that the model can effectively respond to various emergencies in practical applications. Specifically:

[0075] The target distribution network after power supply restoration is subjected to voltage sag disturbance and frequency disturbance to obtain disturbance response data of the target distribution network.

[0076] The disturbance response data is analyzed and processed to obtain the stability and regulation capability evaluation results of the target distribution network after power supply restoration. The power supply restoration model is optimized and adjusted according to the evaluation results to enhance the regulation capability of the model. A model with strong regulation capability can flexibly adjust the allocation and scheduling of power resources according to different disturbance conditions to maintain the stable operation of the power grid.

[0077] The post-fault power supply restoration method of the distribution network of the present invention applies power simulation to the reconstructed topology network, obtains the sensitivity of each node in the network according to the response data, and can exclude nodes with low sensitivity in the network according to the sensitivity data, so as to flexibly and reasonably arrange the allocation and scheduling of power resources according to the voltage sensitivity data of each available node in the network; with the goal of minimizing the average hourly voltage fluctuation and maximizing the power supply restoration efficiency, the power supply output time curve of each power resource with different flexibility that can be output under the condition of taking into account the recovery speed and voltage recovery stability of the power supply restoration model is obtained, so that the power restoration resources can be more fully and reasonably utilized, the power fluctuation in the restoration process can be balanced, and the stable restoration and operation of the distribution network can be ensured.

[0078] The embodiment of the present invention also provides a power distribution network power restoration system after a fault, which is used to execute the power distribution network power restoration method after a fault as described above. Figure 2This is a block diagram of power supply restoration of a distribution network after a fault in an embodiment of the present invention, and the system includes:

[0079] The network reconstruction module 21 is used to reconstruct the historical power supply restoration data after the fault in the target distribution network area during the power supply simulation restoration stage to obtain the reconstructed topology network of the target distribution network.

[0080] The sensitivity calculation module 22 is used to apply continuously changing power simulation to the reconstructed topology network, obtain real-time voltage response data of the reconstructed topology network, and calculate the voltage sensitivity between each node of the reconstructed topology network according to each real-time voltage response data.

[0081] The model building module 23 is used to model the power attribute data of each power resource unit for power restoration of the target distribution network after a fault, the connection relationship data between the nodes, the voltage sensitivity and the power restoration demand data of each node to obtain a power restoration model.

[0082] The model operation module 24 is used to construct a preset power supply restoration efficiency objective function based on voltage fluctuations, and operate the power supply restoration model under the power supply restoration efficiency objective function to obtain the optimal power supply power-time curve data corresponding to each of the power resource units.

[0083] The power supply restoration module 25 is used to control the use of each of the power resource units to restore power to the target distribution network after a fault using the corresponding optimal power supply power-time curve data during the actual power supply restoration stage.

[0084] The technical features and technical effects of the device proposed in the embodiment of the present invention are the same as those of the method proposed in the embodiment of the present invention, and are not described in detail here. Each module in the above device can be implemented in whole or in part by software, hardware, and a combination thereof. Each of the above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0085] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for restoring power supply of a distribution network after a fault, characterized in that: include: In the power supply simulation restoration stage, the historical power supply restoration data after the fault in the target distribution network area is reconstructed to obtain the reconstructed topology network of the target distribution network; Applying a continuously changing power simulation to the reconstructed topology network, obtaining real-time voltage response data of the reconstructed topology network, and calculating the voltage sensitivity between each node of the reconstructed topology network according to each of the real-time voltage response data; Modeling the acquired power attribute data of each power resource unit for power restoration of the target distribution network after a fault, the connection relationship data between the nodes, the voltage sensitivity and the power restoration demand data of each node to obtain a power restoration model; Constructing a preset power supply restoration efficiency objective function based on voltage fluctuations, and running the power supply restoration model under the power supply restoration efficiency objective function to obtain optimal power supply power-time curve data corresponding to each of the power resource units; In the actual power supply restoration stage, each of the power resource units is controlled to use the corresponding optimal power supply power-time curve data to restore power supply to the target distribution network after the fault.

2. The method for restoring power supply of a distribution network after a fault as claimed in claim 1, characterized in that: The step of applying a continuously changing power simulation to the reconstructed topology network, obtaining real-time voltage response data of the reconstructed topology network, and calculating the voltage sensitivity between each node of the reconstructed topology network according to each real-time voltage response data includes: According to various load fluctuations in the actual operation of the power system, a continuously changing power simulation is applied to the reconstructed topology network to obtain real-time voltage response data of the reconstructed topology network; The power flow equation of each node is expanded to 24 time periods by using the time series analysis method, and the voltage sensitivity is calculated according to the real-time voltage response data for 24 hours in a natural day to obtain the voltage sensitivity coefficient matrix of the 24 time periods.

3. The method for restoring power supply of a distribution network after a fault as claimed in claim 1, characterized in that: The electric power resource units at least include wind power generation resource units, photovoltaic power generation resource units, fuel power generation resource units and electric energy storage resource units.

4. The method for restoring power supply of a distribution network after a fault as claimed in claim 3, characterized in that: The preset power supply restoration efficiency objective function is constructed based on voltage fluctuations, and the power supply restoration model is operated under the power supply restoration efficiency objective function to obtain the optimal power supply power-time curve data corresponding to each of the power resource units, including: Taking minimizing the hourly average voltage fluctuation and maximizing the power supply restoration efficiency as the objective function, according to the output characteristics of each of the power resource units, the power supply restoration model is simulated for power supply restoration, and the power supply restoration data of the power supply restoration model from the start of power supply restoration to the formation of a relatively stable power supply state is obtained; The optimal power supply power-time curve of each of the electric power resource units under the objective function is obtained according to the power supply restoration data.

5. The method for restoring power supply of a distribution network after a fault as claimed in claim 1, characterized in that: After the control uses each of the electric resource units to restore power supply to the target distribution network after the fault with the corresponding optimal power supply power-time curve data, it also includes: Performing voltage sag disturbance and frequency disturbance on the target distribution network after power supply restoration to obtain disturbance response data of the target distribution network; The disturbance response data is analyzed and processed to obtain an evaluation result of the stability and regulation capability of the target distribution network after power supply restoration, and the power supply restoration model is optimized and adjusted according to the evaluation result.

6. A power supply restoration system for a distribution network after a fault, characterized in that: include: A network reconstruction module is used to reconstruct the historical power supply restoration data after the fault in the target distribution network area during the power supply simulation restoration phase to obtain a reconstructed topology network of the target distribution network; A sensitivity calculation module, used for applying a continuously changing power simulation to the reconstructed topology network, obtaining real-time voltage response data of the reconstructed topology network, and calculating the voltage sensitivity between each node of the reconstructed topology network according to each real-time voltage response data; A model building module is used to model the acquired power attribute data of each power resource unit for power restoration of the target distribution network after a fault, the connection relationship data between the nodes, the voltage sensitivity and the power restoration demand data of each node to obtain a power restoration model; A model operation module, used to construct a preset power supply restoration efficiency objective function based on voltage fluctuations, and to operate the power supply restoration model under the power supply restoration efficiency objective function to obtain the optimal power supply power-time curve data corresponding to each of the power resource units; The power supply restoration module is used to control the use of each of the power resource units to restore power to the target distribution network after a fault with the corresponding optimal power supply power-time curve data during the actual power supply restoration stage.

7. The power supply restoration system for a distribution network after a fault as claimed in claim 6, characterized in that: The sensitivity calculation module comprises: A power simulation unit, used to apply continuously changing power simulation to the reconstructed topology network according to various load fluctuations in the actual operation of the power system, and obtain real-time voltage response data of the reconstructed topology network; The data analysis unit is used to use the time series analysis method to expand the power flow equation of each node to 24 time periods, calculate the voltage sensitivity of each node according to the real-time voltage response data for 24 hours in a natural day, and obtain the voltage sensitivity coefficient matrix of the 24 time periods.

8. The power supply restoration system for a distribution network after a fault as claimed in claim 6, characterized in that: The electric power resource units at least include wind power generation resource units, photovoltaic power generation resource units, fuel power generation resource units and electric energy storage resource units.

9. The power supply restoration system for a distribution network after a fault as claimed in claim 8, characterized in that: The model operation module includes: A power supply restoration simulation unit is used to perform power supply restoration simulation on the power supply restoration model according to the output characteristics of each of the power resource units, taking minimizing the hourly average voltage fluctuation and maximizing the power supply restoration efficiency as the objective function, and obtaining power supply restoration data of the power supply restoration model from the start of power supply restoration to the formation of a relatively stable power supply state; A data processing unit is used to obtain the optimal power supply power-time curve of each of the power resource units under the objective function according to the power supply restoration data.

10. The power supply restoration system for a distribution network after a fault as claimed in claim 6, characterized in that: The system also includes a model optimization module: A data disturbance unit, used for performing voltage sag disturbance and frequency disturbance on the target distribution network after power supply restoration, so as to obtain disturbance response data of the target distribution network; The stability evaluation unit is used to analyze and process the disturbance response data to obtain the stability and regulation capability evaluation results of the target distribution network after power supply is restored, and optimize and adjust the power supply restoration model according to the evaluation results.

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