Load shedding node selection method and system containing distributed new energy

Abstract

The invention discloses a distributed new energy-containing load shedding node selection method and system, and the method comprises the steps: determining a power supply region corresponding to each transformer substation in a to-be-judged set of a load shedding region, and calculating the proportion of the distributed new energy in each power supply region in the installation of a total power supply; according to the proportion of the distributed new energy in each power supply area to the total power supply installation, judging whether the tail end branch of the low-voltage power distribution network in the power supply area is put into the to-be-judged subset of the load shedding nodes; according to a preset load shedding comprehensive risk index, determining the load shedding risk of the low-voltage power distribution network tail end branch in the to-be-judged set of load shedding nodes; according to the load shedding comprehensive risk index calculation result from small to large, the corresponding low-voltage power distribution network tail end branches in the to-be-judged subset of the load shedding nodes are reordered, and the preferential load shedding nodes are selected according to the ordering result. The purposes of optimizing the load shedding node selection range and reducing the load shedding node removal risk can be achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of safety and stability control of new energy, and in particular to a method and system for selecting a load shedding node containing distributed new energy. Background Art

[0002] After the distributed renewable energy is connected to the power grid in large quantities, the traditional power distribution system's single power source radial power supply structure has been changed. The flow direction of the terminal distribution network is in an uncontrollable state due to the randomness of the distributed renewable energy output, which increases the difficulty of the traditional preset stability control measures configuration strategy of the power system. At the same time, with the improvement of energy storage and its equipment development technology, the distributed renewable energy units that originally did not have the frequency regulation capability can also realize their own frequency regulation control or achieve a more flexible and controllable state by configuring the energy storage system. Therefore, in distinguishing the selectability of the terminal load shedding node, not only the changes brought about by the distributed renewable energy output should be considered, but also the impact of its regulation or energy storage system should be taken into account. In addition, the change of the flow characteristics of the terminal distribution network caused by the output of distributed power sources makes the changes of conventional electrical quantities such as power and voltage more frequent. In the selection principle of the load shedding node, the impact on the safe operation of the power grid after shedding should be considered.

[0003] The existing load shedding node selection method does not take into account the change in the power direction of the terminal line and the complexity of the electrical characteristics of the terminal equipment, which makes it difficult to meet the load shedding organization requirements and may further expand the operational risks. Summary of the invention

[0004] The present invention provides a method and system for selecting a load shedding node containing distributed new energy, which is used to solve the technical problems that the existing load shedding node selection method does not take into account the change in the power direction of the terminal line and the complexity of the electrical characteristics of the terminal equipment, resulting in difficulty in meeting the load shedding organization volume requirements and may further expand the operating risks.

[0005] In a first aspect, the present invention provides a method for selecting a load shedding node including distributed renewable energy, comprising: For the receiving-end power system with direct current, the substation with the highest AC voltage level in the power grid whose straight-line distance from the corresponding direct current is not greater than the preset distance threshold is selected and put into the load shedding area to be judged for the direct current blocking fault; Determine the power supply area corresponding to each substation in the set of load shedding areas to be determined, and calculate the proportion of distributed renewable energy in the total power installed capacity in each power supply area; According to the proportion of distributed renewable energy in the total installed power supply capacity in each power supply area, determine whether the terminal branch of the low-voltage distribution network in the power supply area is included in the load shedding node to be determined subset; Determine the load shedding risk of the terminal branch of the low-voltage distribution network in the load shedding node to be judged set according to the preset load shedding comprehensive risk index, wherein the load shedding comprehensive risk index includes voltage over-limit risk, power over-limit risk and frequency support capacity; According to the calculation results of the comprehensive risk index of load shedding, the corresponding terminal branches of the low-voltage distribution network in the subset of load shedding nodes to be judged are re-sorted from small to large, and the priority load shedding nodes are selected according to the sorting results.

[0006] In a second aspect, the present invention provides a load shedding node selection system including distributed renewable energy, comprising: A selection module is configured to select, for a receiving-end power system with direct current, a substation with the highest AC voltage level of the power grid whose straight-line distance from the corresponding direct current is not greater than a preset distance threshold and put it into a load shedding area to be judged for a direct current blocking fault; A calculation module is configured to determine the power supply area corresponding to each substation in the set of load shedding areas to be determined, and calculate the proportion of distributed renewable energy in the total power installed capacity in each power supply area; A judgment module is configured to judge whether the terminal branch of the low-voltage distribution network in the power supply area is included in the load shedding node to be judged subset according to the proportion of distributed renewable energy in the total power installed capacity in each power supply area; A determination module is configured to determine the load shedding risk of the terminal branch of the low-voltage distribution network in the set of load shedding nodes to be judged according to a preset comprehensive load shedding risk index, wherein the comprehensive load shedding risk index includes voltage over-limit risk, power over-limit risk and frequency support capability; The selection module is configured to re-order the corresponding low-voltage distribution network terminal branches in the sub-set of load shedding nodes to be judged from small to large according to the calculation results of the comprehensive risk index of load shedding, and select the priority load shedding node according to the ordering result.

[0007] According to a third aspect, an electronic device is provided, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the steps of the method for selecting a load shedding node containing distributed new energy sources according to any embodiment of the present invention.

[0008] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor executes the steps of the method for selecting a load shedding node containing distributed renewable energy sources according to any embodiment of the present invention.

[0009] The method and system for selecting a load shedding node containing distributed renewable energy in the present application aims at the situation where a DC lockout fault occurs in a receiving-end power system containing DC. On the basis of combining the principle of selecting the load shedding node nearby, the output proportion of distributed renewable energy is considered to optimize the node selection range. In addition, considering the impact of distributed renewable energy on the change of electrical quantity of the terminal power grid and the frequency regulation control of the system, a comprehensive load shedding risk index is proposed to evaluate the impact of load shedding node selection on the safe operation of the power grid, which can achieve the purpose of optimizing the selection range of load shedding nodes and reducing the risk of load shedding node removal. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0011] Figure 1 A flow chart of a method for selecting a load shedding node containing distributed renewable energy provided by an embodiment of the present invention; Figure 2 A structural block diagram of a load shedding node selection system including distributed renewable energy provided by an embodiment of the present invention; Figure 3 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0012] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0013] See also Figure 1 , which shows a flow chart of a method for selecting a load shedding node containing distributed new energy sources in the present application.

[0014] like Figure 1 As shown, the method for selecting a load shedding node containing distributed new energy specifically includes the following steps: Step S101, for a receiving-end power system with direct current, a substation with the highest AC voltage level in the power grid whose straight-line distance from the corresponding direct current is not greater than a preset distance threshold is selected and put into a load shedding area to be judged for a direct current blocking fault.

[0015] In this step, in the receiving power system with DC feed-in, the set of all DC in the receiving power system is defined as ,in, For the collection DC; According to the geographical location information, obtain the grid The highest AC voltage level substation With The straight line distance of a DC , and determine the straight-line distance Whether it is greater than the preset distance threshold; If it is not greater than the preset distance threshold, the power grid The highest AC voltage level substation Put in The set of load shedding nodes to be judged when a DC locking fault occurs Otherwise, do not put it in.

[0016] In a specific embodiment, the power system of a DC receiving end in a certain area is analyzed. Only one DC The highest AC voltage level substation in the entire network is the 500kV substation. According to the grid geographical location information ledger, the 500kV substation to DC Straight line distance .get The corresponding 500kV substations are , , , put these three substations into DC The corresponding load shedding node to be judged set , then the three substations are named , , .

[0017] Step S102, determining the power supply area corresponding to each substation in the load shedding area to be determined set, and calculating the proportion of distributed renewable energy in the total power installed capacity in each power supply area.

[0018] In this step, the load shedding node to be judged set The The power supply area corresponding to each substation is counted according to the ledger information to calculate the installed power capacity in the power supply area. and distributed renewable energy installed capacity ; Calculate the first The proportion of distributed renewable energy installed capacity in the power supply area corresponding to each substation .

[0019] In a specific embodiment, the load shedding node to be judged set Three substations in , , , according to the ledger information, the installed capacity of power supply and distributed new energy installed capacity in the power supply area are counted: The installed capacity of power supply in the substation power supply area is 520MW, and the installed capacity of distributed new energy is 110MW; The installed capacity of power supply in the substation power supply area is 400MW, and the installed capacity of distributed new energy is 250MW; The installed capacity of power supply in the substation power supply area is 280MW, and the installed capacity of distributed new energy is 150MW. , , The corresponding proportions of distributed renewable energy installed capacity in the power supply areas are 0.212, 0.625 and 0.536 respectively.

[0020] Step S103, judging whether the terminal branch of the low-voltage distribution network in each power supply area is included in the load shedding node to be judged subset according to the proportion of distributed renewable energy in the total power installed capacity in each power supply area.

[0021] In this step, if The proportion of distributed renewable energy installed capacity in the power supply area corresponding to each substation is not less than the preset threshold, then All low-voltage distribution network terminal branches in the power supply area corresponding to the substation are not included in the load shedding node to be judged sub-set ; Jordi The proportion of distributed renewable energy installed capacity in the power supply area corresponding to each substation is less than the preset threshold, then the All low-voltage distribution network terminal branches in the power supply area corresponding to each substation are placed in the load shedding node to be judged sub-set ,in, Representative When a DC lockout fault occurs The highest AC voltage level substation corresponds to the first The terminal branch of a low-voltage distribution network.

[0022] In a specific embodiment, judging , , In the corresponding power supply area, the proportion of distributed new energy installed capacity is: The proportion of distributed renewable energy installed capacity is less than 60%; , The proportion of distributed renewable energy installed capacity is less than 60%. All the low-voltage distribution network terminal branches in the corresponding power supply area are placed in the load shedding node to be judged subset .

[0023] Step S104, determining the load shedding risk of the terminal branch of the low-voltage distribution network in the load shedding node to be judged set according to a preset comprehensive load shedding risk index, wherein the comprehensive load shedding risk index includes voltage over-limit risk, power over-limit risk and frequency support capability.

[0024] In this step, the subset of nodes to be judged for load shedding is within , get the voltage value of the branch electrical measurement point , the voltage upper limit required in the actual operating procedures , the voltage lower limit required in the actual operating procedures And the nominal voltage , define and calculate voltage over-limit risk index , the expression is: , Get the power value of the branch electrical measurement point , the upper limit of line power required in the actual operation regulations , define and calculate the power limit risk index , the expression is: , Considering the complexity of distributed renewable energy access and frequency regulation capability differences in low-voltage distribution networks, define and calculate frequency support capability , the expression is: , The load shedding risk of the terminal branch of the low-voltage distribution network in the load shedding node to be judged set is determined according to the preset comprehensive load shedding risk index, and the expression is: , In the formula, For the The comprehensive risk index of load shedding at the terminal branch of a low-voltage distribution network is calculated.

[0025] In a specific embodiment, the voltage over-limit risk, power over-limit risk, and frequency support capacity of each branch are calculated to form a comprehensive load shedding risk index: For example, the nominal voltage level of this branch is 10.5kV. The voltage upper limit required in the actual operation regulations is 10.7kV, the voltage lower limit is 10kV, and the power upper limit is 0.95MW. The observable voltage value obtained from the electrical measurement point of the first branch is 10.3kV, and the power value is 0.88MW. According to the line ledger, it is known that this line belongs to a pure load node. In summary, the three index values ​​of voltage over-limit risk, power over-limit risk, and frequency support capacity are calculated to be 0.57, 0.93, and 0.3 respectively, and the comprehensive risk index of load shedding of this branch is calculated. . The same calculation steps are used to calculate the load shedding comprehensive risk index values ​​of the corresponding branches from the 2nd to the 121st branches. For example, the value of the 2nd branch is , No. 3 branch road .

[0026] Step S105, according to the calculation result of the comprehensive risk index of load shedding, the corresponding low-voltage distribution network terminal branches in the subset of load shedding nodes to be judged are re-ordered from small to large, and a priority load shedding node is selected according to the ordering result.

[0027] In a specific embodiment, the load shedding comprehensive risk index values ​​of the corresponding branches from the 1st to the 121st are sorted from small to large. For example: the calculated value of the 8th branch is , ranked first among all branches, then the 8th branch is the first priority load shedding node; the 3rd branch , ranked third among all branches, then the third branch is used as the second priority load shedding node.

[0028] In summary, the method of the present application, aimed at the situation of DC lockout fault in the receiving-end power system containing DC, combines the principle of selecting the nearest load shedding node, considers the proportion of distributed new energy output to optimize the node selection range, and also considers the impact of distributed new energy on the change of terminal power grid electrical quantity and system frequency regulation control, and proposes a comprehensive load shedding risk index to evaluate the impact of load shedding node selection on the safe operation of the power grid, which can achieve the purpose of optimizing the selection range of load shedding nodes and reducing the risk of load shedding node removal.

[0029] See also Figure 2 , which shows a structural block diagram of a load shedding node selection system containing distributed new energy in the present application.

[0030] like Figure 2 As shown, the load shedding node selection system 200 includes a selection module 210 , a calculation module 220 , a judgment module 230 , a determination module 240 and a selection module 250 .

[0031] Among them, the selection module 210 is configured to select the highest AC voltage level substation of the power grid whose straight-line distance from the corresponding DC is not greater than the preset distance threshold for the receiving-end power system with DC, and put it into the load shedding area to be judged set of DC locking fault; the calculation module 220 is configured to determine the power supply area corresponding to each substation in the load shedding area to be judged set, and calculate the proportion of distributed new energy in each power supply area to the total power installed capacity; the judgment module 230 is configured to judge whether the terminal branch of the low-voltage distribution network in the power supply area is placed in the load shedding node to be judged sub-set according to the proportion of distributed new energy in the total power installed capacity in each power supply area; the determination module 240 is configured to determine the load shedding risk of the terminal branch of the low-voltage distribution network in the load shedding node to be judged set according to the preset load shedding comprehensive risk index, wherein the load shedding comprehensive risk index includes voltage over-limit risk, power over-limit risk and frequency support capacity; the selection module 250 is configured to re-sort the corresponding low-voltage distribution network terminal branches in the load shedding node to be judged sub-set from small to large according to the calculation result of the load shedding comprehensive risk index, and select the priority load shedding node according to the sorting result.

[0032] It should be understood that Figure 2 Modules and references documented in Figure 1 Therefore, the operations and features described above for the method and the corresponding technical effects are also applicable to Figure 2 The modules in it will not be described in detail here.

[0033] In some other embodiments, the embodiments of the present invention further provide a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor executes the method for selecting a load shedding node containing distributed renewable energy in any of the above method embodiments; As an implementation mode, the computer-readable storage medium of the present invention stores computer-executable instructions, and the computer-executable instructions are configured as follows: For the receiving-end power system with direct current, the substation with the highest AC voltage level in the power grid whose straight-line distance from the corresponding direct current is not greater than the preset distance threshold is selected and put into the load shedding area to be judged for the direct current blocking fault; Determine the power supply area corresponding to each substation in the set of load shedding areas to be determined, and calculate the proportion of distributed renewable energy in the total power installed capacity in each power supply area; According to the proportion of distributed renewable energy in the total installed power supply capacity in each power supply area, determine whether the terminal branch of the low-voltage distribution network in the power supply area is included in the load shedding node to be determined subset; Determine the load shedding risk of the terminal branch of the low-voltage distribution network in the load shedding node to be judged set according to the preset load shedding comprehensive risk index, wherein the load shedding comprehensive risk index includes voltage over-limit risk, power over-limit risk and frequency support capacity; According to the calculation results of the comprehensive risk index of load shedding, the corresponding terminal branches of the low-voltage distribution network in the subset of load shedding nodes to be judged are re-sorted from small to large, and the priority load shedding nodes are selected according to the sorting results.

[0034] The computer-readable storage medium may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the load shedding node selection system containing distributed new energy, etc. In addition, the computer-readable storage medium may include a high-speed random access memory, and may also include a memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer-readable storage medium may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the load shedding node selection system containing distributed new energy via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0035] Figure 3 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, such as Figure 3 As shown, the device includes: a processor 310 and a memory 320. The electronic device may also include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330 and the output device 340 may be connected via a bus or other means. Figure 3 In the example, the bus connection is used. The memory 320 is the above-mentioned computer-readable storage medium. The processor 310 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions and modules stored in the memory 320, that is, the method for selecting a load shedding node containing distributed new energy in the above-mentioned method embodiment is realized. The input device 330 can receive input digital or character information, and generate key signal input related to user settings and function control of the load shedding node selection system containing distributed new energy. The output device 340 may include display devices such as display screens.

[0036] The electronic device can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0037] As an implementation mode, the electronic device is applied to a load shedding node selection system including distributed renewable energy, and is used for a client, and includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: For the receiving-end power system with direct current, the substation with the highest AC voltage level in the power grid whose straight-line distance from the corresponding direct current is not greater than the preset distance threshold is selected and put into the load shedding area to be judged for the direct current blocking fault; Determine the power supply area corresponding to each substation in the set of load shedding areas to be determined, and calculate the proportion of distributed renewable energy in the total power installed capacity in each power supply area; According to the proportion of distributed renewable energy in the total installed power supply capacity in each power supply area, determine whether the terminal branch of the low-voltage distribution network in the power supply area is included in the load shedding node to be determined subset; Determine the load shedding risk of the terminal branch of the low-voltage distribution network in the load shedding node to be judged set according to the preset load shedding comprehensive risk index, wherein the load shedding comprehensive risk index includes voltage over-limit risk, power over-limit risk and frequency support capacity; According to the calculation results of the comprehensive risk index of load shedding, the corresponding terminal branches of the low-voltage distribution network in the subset of load shedding nodes to be judged are re-sorted from small to large, and the priority load shedding nodes are selected according to the sorting results.

[0038] Through the description of the above implementation modes, those skilled in the art can clearly understand that each implementation mode can be implemented by means of software plus a necessary general hardware platform, or of course by hardware. Based on such an understanding, the above technical solution can essentially or in other words be embodied in the form of a software product that contributes to the prior art. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0039] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for selecting load shedding nodes containing distributed renewable energy, characterized in that: include: For the receiving-end power system with direct current, the substation with the highest AC voltage level in the power grid whose straight-line distance from the corresponding direct current is not greater than the preset distance threshold is selected and put into the load shedding area to be judged for the direct current blocking fault; Determine the power supply area corresponding to each substation in the set of load shedding areas to be determined, and calculate the proportion of distributed renewable energy in the total power installed capacity in each power supply area; According to the proportion of distributed renewable energy in the total installed power supply capacity in each power supply area, determine whether the terminal branch of the low-voltage distribution network in the power supply area is included in the load shedding node to be determined subset; Determine the load shedding risk of the terminal branch of the low-voltage distribution network in the load shedding node to be judged set according to the preset load shedding comprehensive risk index, wherein the load shedding comprehensive risk index includes voltage over-limit risk, power over-limit risk and frequency support capacity; According to the calculation results of the comprehensive risk index of load shedding, the corresponding terminal branches of the low-voltage distribution network in the subset of load shedding nodes to be judged are re-sorted from small to large, and the priority load shedding nodes are selected according to the sorting results.

2. A method for selecting load shedding nodes containing distributed renewable energy according to claim 1, characterized in that: The said selecting, for the receiving-end power system with direct current, the substation with the highest AC voltage level of the power grid whose straight-line distance from the corresponding direct current is not greater than the preset distance threshold and putting it into the load shedding area to be judged for the direct current blocking fault includes: In the receiving power system with DC feed-in, the set of all DC in the receiving power system is defined as ,in, For the collection DC; According to the geographical location information, obtain the grid The highest AC voltage level substation With The straight line distance of a DC , and determine the straight-line distance Whether it is greater than the preset distance threshold; If it is not greater than the preset distance threshold, the power grid The highest AC voltage level substation Put in The set of load shedding nodes to be judged when a DC locking fault occurs Otherwise, do not put it in.

3. A method for selecting load shedding nodes containing distributed renewable energy according to claim 1, characterized in that: Determining the power supply area corresponding to each substation in the load shedding area to be determined set, and calculating the proportion of distributed renewable energy in each power supply area to the total power installed capacity includes: Load shedding nodes to be judged set The The power supply area corresponding to each substation is counted according to the ledger information to calculate the installed power capacity in the power supply area. and distributed renewable energy installed capacity ; Calculate the first The proportion of distributed renewable energy installed capacity in the power supply area corresponding to each substation .

4. A method for selecting load shedding nodes containing distributed renewable energy according to claim 1, characterized in that: After determining whether the terminal branch of the low-voltage distribution network in the power supply area is included in the load shedding node to be determined subset according to the proportion of distributed renewable energy in the total power installed capacity in each power supply area, the method further includes: Jordi The proportion of distributed renewable energy installed capacity in the power supply area corresponding to each substation is not less than the preset threshold, then All low-voltage distribution network terminal branches in the power supply area corresponding to the substation are not included in the load shedding node to be judged sub-set ; Jordi The proportion of distributed renewable energy installed capacity in the power supply area corresponding to each substation is less than the preset threshold, then the All low-voltage distribution network terminal branches in the power supply area corresponding to each substation are placed in the load shedding node to be judged sub-set ,in, Representative When a DC lockout fault occurs The highest AC voltage level substation corresponds to the first A low voltage distribution network terminal branch.

5. A method for selecting load shedding nodes containing distributed renewable energy according to claim 1, characterized in that: Determining the load shedding risk of the terminal branch of the low-voltage distribution network in the load shedding node to be determined set according to the preset load shedding comprehensive risk index includes: Subset of load shedding nodes to be judged within , get the voltage value of the branch electrical measurement point , the voltage upper limit required in the actual operating procedures , the voltage lower limit required in the actual operating procedures And the nominal voltage , define and calculate voltage over-limit risk index , the expression is: ， Get the power value of the branch electrical measurement point , the upper limit of line power required in the actual operation regulations , define and calculate the power limit risk index , the expression is: ， Considering the complexity of distributed renewable energy access and frequency regulation capability differences in low-voltage distribution networks, define and calculate frequency support capability , the expression is: ， The load shedding risk of the terminal branch of the low-voltage distribution network in the set of load shedding nodes to be judged is determined according to the preset comprehensive load shedding risk index. The expression is: ， In the formula, For the The comprehensive risk index of load shedding at the terminal branch of a low-voltage distribution network is calculated.

6. A load shedding node selection system containing distributed new energy, characterized in that: include: A selection module is configured to select, for a receiving-end power system with direct current, a substation with the highest AC voltage level of the power grid whose straight-line distance from the corresponding direct current is not greater than a preset distance threshold and put it into a load shedding area to be judged for a direct current blocking fault; A calculation module is configured to determine the power supply area corresponding to each substation in the set of load shedding areas to be determined, and calculate the proportion of distributed renewable energy in the total power installed capacity in each power supply area; A judgment module is configured to judge whether the terminal branch of the low-voltage distribution network in the power supply area is included in the load shedding node to be judged subset according to the proportion of distributed renewable energy in the total power installed capacity in each power supply area; A determination module is configured to determine the load shedding risk of the terminal branch of the low-voltage distribution network in the set of load shedding nodes to be judged according to a preset comprehensive load shedding risk index, wherein the comprehensive load shedding risk index includes voltage over-limit risk, power over-limit risk and frequency support capability; The selection module is configured to re-order the corresponding low-voltage distribution network terminal branches in the sub-set of load shedding nodes to be judged from small to large according to the calculation results of the comprehensive risk index of load shedding, and select the priority load shedding node according to the ordering result.

7. An electronic device, characterized in that: include: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method described in any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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