Converter station planning method and device, electronic equipment and storage medium

Abstract

The present application relates to the technical field of power related, provide a kind of converter station planning method, device, electronic equipment and storage medium.Therein, method includes: obtaining the basic data of power grid;Power grid includes converter station;Based on basic data, determine converter station planning set;Converter station planning set includes: multiple converter station planning scheme;Converter station planning scheme makes that power grid satisfies preset operation constraint condition;Determine the power loss of converter station planning scheme corresponding under preset disaster condition;From converter station planning set, select the converter station planning scheme of minimum power loss as target converter station planning scheme.Such, the post-disaster loss of all schemes is compared, and the scheme with the least post-disaster loss is selected as the final site sizing scheme of converter station.In the multiple converter station planning schemes proposed, the converter station planning scheme with the least power loss is selected to reduce the actual power loss caused by disaster of power grid.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power, and particularly relates to a converter station planning method and device, electronic equipment and storage medium. BACKGROUND

[0002] When extreme natural disasters occur frequently, large-scale power outages may occur. Due to the weak topology of the power grid, the damage is often serious and the recovery is slow when the power grid is impacted by disasters.

[0003] In an AC-DC distribution network, the location and capacity of the converter station have a great influence on the disaster recovery ability of the power grid. Therefore, in order to reduce the impact of extreme natural disasters on the power grid, the location and capacity of the converter station need to be planned. However, the existing converter station planning method does not consider the case of extreme natural disasters, and the planning is often unreasonable, resulting in weak disaster resistance of the power grid. SUMMARY

[0004] The embodiments of the present application provide a converter station planning method, device, electronic equipment and storage medium to solve the problem that there is no planning method for the converter station in the case of frequent extreme natural disasters in the prior art.

[0005] In a first aspect, the embodiments of the present application provide a converter station planning method, comprising:

[0006] obtaining basic data of a power grid; the power grid comprises a converter station;

[0007] determining a converter station planning set based on the basic data; the converter station planning set comprises: a plurality of converter station planning schemes; the converter station planning scheme makes the power grid meet a preset operation constraint condition;

[0008] determining a power outage loss corresponding to the converter station planning scheme under a preset disaster condition;

[0009] selecting, from the converter station planning set, the converter station planning scheme with the minimum power outage loss as a target converter station planning scheme.

[0010] Optionally, the determination of the power outage loss corresponding to the converter station planning scheme under the preset disaster condition comprises:

[0011] determining, based on a preset equipment outage probability model, an equipment outage probability corresponding to the converter station planning scheme under the preset disaster condition;

[0012] determining, based on the equipment outage probability, a plurality of power grid damage conditions corresponding to the converter station planning scheme and an occurrence probability corresponding to the power grid damage condition;

[0013] calculating a power outage loss corresponding to the power grid damage condition;

[0014] Determine the power outage loss corresponding to the converter station planning scheme based on the power outage loss and the occurrence probability corresponding to each power grid damage condition.

[0015] Optionally, the calculation of the power outage loss corresponding to the power grid damage condition comprises:

[0016] Perform power network reconstruction on the power grid based on the power grid damage condition;

[0017] Determine the power outage loss corresponding to the power grid damage condition based on the power grid after power network reconstruction.

[0018] Optionally, the power network reconstruction on the power grid based on the power grid damage condition comprises:

[0019] Adjust the control parameters and the topology structure of the power grid based on the power grid damage condition.

[0020] Optionally, the adjustment of the control parameters and the topology structure of the power grid comprises:

[0021] Adjust the control parameters based on the current topology structure;

[0022] Adjust the topology structure based on the adjusted control parameters;

[0023] Calculate the target function value corresponding to the power grid after adjustment based on a preset target function;

[0024] Determine whether the target function value meets a preset requirement;

[0025] If yes, it is determined that the adjustment is completed, otherwise, the step of adjusting the control parameters based on the current topology structure is performed.

[0026] Optionally, the power outage loss corresponding to the power grid damage condition is determined based on the disaster-affected power outage duration and disaster-affected power outage load importance information.

[0027] Optionally, the preset operation constraint condition comprises at least one of the following conditions: a converter station constraint condition, a power flow constraint condition, a voltage constraint condition, a power constraint condition, and a topology constraint condition.

[0028] In a second aspect, an embodiment of the present application provides a converter station planning device, comprising:

[0029] An acquisition unit acquires basic data of a power grid; the power grid comprises a converter station;

[0030] The first determining unit is configured to determine a converter station planning set based on the basic data, wherein the converter station planning set comprises a plurality of converter station planning schemes, and the converter station planning schemes make the power grid meet preset operation constraints.

[0031] The second determining unit is configured to determine a power cut loss corresponding to the converter station planning scheme under a preset disaster condition.

[0032] The selecting unit is configured to select, from the converter station planning set, the converter station planning scheme with the minimum power cut loss as a target converter station planning scheme.

[0033] In a third aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the converter station planning method provided by the present application when executing the program.

[0034] In a fourth aspect, a non-transitory computer-readable storage medium is provided, which stores a computer program executable by a processor to implement the steps of the converter station planning method provided by the present application.

[0035] The converter station planning method provided by the embodiments of the present application first acquires basic data of a power grid, wherein the power grid comprises a converter station; then determines a plurality of converter station planning schemes that can make the power grid meet preset operation constraints based on the basic data; then determines a power cut loss corresponding to each converter station planning scheme under a preset disaster condition; and selects, from the converter station planning set, the converter station planning scheme with the minimum power cut loss as a target converter station planning scheme. In this way, the disaster resistance of each converter station planning scheme under the preset disaster condition is reflected by comparing the power cut losses of the converter station planning schemes, i.e., the disaster resistance of the power grid corresponding to each converter station planning scheme under the preset disaster condition is reflected by the power cut loss. By selecting the converter station planning scheme with the minimum power cut loss, the disaster resistance of the power grid corresponding to the converter station planning scheme is further improved. Compared with the scheme in the background art, the planning is more reasonable in consideration of the case of extreme natural disasters, and the disaster resistance of the power grid is improved. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0037] Figure 1 The flowchart of the converter station planning method provided by the embodiments of the present application is shown in the figure.

[0038] Figure 2 A part flowchart of a converter station planning method provided by an embodiment of the present application is shown in FIG. 1.

[0039] Figure 3 A part flowchart of a converter station planning method provided by an embodiment of the present application is shown in FIG. 1.

[0040] Figure 4 A structure diagram of a converter station planning device provided by an embodiment of the present application is shown in FIG. 2.

[0041] Figure 5 A structure diagram of an electronic device provided by an embodiment of the present application is shown in FIG. 3. DETAILED DESCRIPTION

[0042] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described below in connection with the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0043] Large-scale power grid accidents can be caused not only by equipment failure and human operation, but also by extreme disasters. Various extreme disasters can cause large-area power outage accidents. In recent years, extreme natural disasters have occurred more and more frequently. At the same time, with the development of economy, the scale of the power system in China is gradually expanding, and the geographical distribution is also more extensive. The power outage range and economic loss caused by large-scale power grid accidents caused by extreme natural disasters have also greatly increased. For example, in the coastal areas of China, typhoons and the disasters such as heavy rain brought by their landing have seriously threatened the safe operation of distribution networks. In the power grid, the planning of the converter station can affect the power outage loss of the power grid caused by extreme natural disasters. Specifically, for example, in an AC / DC distribution network, the position and capacity of the VSC (Voltage Source Converter) converter station have a great influence on the disaster recovery capability of the power grid. Therefore, in order to reduce the influence of extreme natural disasters on the power grid, it is necessary to plan the position and capacity of the VSC converter station, but there is no planning method for the converter station in the prior art under the condition that extreme natural disasters occur frequently. Based on this, an embodiment of the present application provides a converter station planning method, device, electronic device and storage medium to assist relevant personnel in planning the converter station and reduce the power outage loss of the power grid caused by extreme natural disasters.

[0044] Figure 1 A flowchart of a converter station planning method provided by an embodiment of the present application is shown in FIG. 1, which includes: Figure 1 as shown.

[0045] In step 110, basic data of the power grid is acquired; the power grid comprises a converter station.

[0046] It should be noted that the power grid here is a power grid to be built or a power grid to be improved, and the power grid is an AC-DC distribution network, comprising a converter station. The basic data of the power grid comprises: main power consumption nodes of the power grid, power supply nodes, requirements of each power consumption node, requirements of each power supply node, devices to be used by the power grid, information of each device, number of converter stations, and information of positions where the converter stations can be arranged.

[0047] In step 120, a converter station planning set is determined based on the basic data; the converter station planning set comprises: a plurality of converter station planning schemes; the converter station planning schemes make the power grid meet preset operation constraints.

[0048] Specifically, the converter station planning scheme comprises a setting position of the converter station and a capacity of the converter station; taking a VSC converter station as an example, first, the alternative capacity of the VSC converter station is discretized, the reference capacity of the VSC converter station is 10 MVA, and the alternative capacity is divided into three levels of large, medium and small, and 1.5 p.u., 1.0 p.u., and 0.5 p.u. are selected respectively. When selecting the alternative position of the VSC converter station, the position of the tie switch is generally selected as the alternative position of the VSC converter station. The alternative capacity and the alternative position of the VSC converter station are combined to form a VSC converter station planning scheme set. Of course, there are some obviously unsuitable planning schemes in the converter station planning scheme set at this time, and these schemes can be removed based on the preset operation constraints.

[0049] In actual application, the setting position of the converter station is often several predetermined positions. Further, the number of converter stations is at least one. When the number of converter stations is multiple, the positions of the converter stations can be first determined by permutation and combination through the exhaustion method, and then the capacities of the converter stations are determined. Then, based on the preset operation constraints, unsuitable schemes in each converter station planning scheme obtained based on the exhaustion are removed.

[0050] Specifically, the preset operation constraints can include but are not limited to: converter station constraints, power flow constraints, voltage constraints, power constraints, topology constraints, and control parameter constraints. The control parameter can be a related parameter of the converter station. For example, the control parameter can include but is not limited to a converter station control parameter in the power grid, such as: DC voltage, AC reactive power, AC active power, AC reactive power, and the like. It should be noted that different control parameters can be selected based on the actual situation of the power grid.

[0051] In step 130, a power outage loss corresponding to the converter station planning scheme under a preset disaster condition is determined.

[0052] Step 140, selecting the converter station planning scheme with the minimum power loss from the set of converter station planning schemes as the target converter station planning scheme.

[0053] In this way, the disaster resistance of various converter station planning schemes in the face of preset disaster conditions is compared through power loss, that is, the disaster resistance of the power grid corresponding to each converter station planning scheme in the face of the preset disaster is reflected through power loss. By selecting the converter station planning scheme with the minimum power loss, the disaster resistance of the power grid corresponding to the converter station planning scheme is further improved. Compared with the scheme in the background art, the planning is more reasonable in the case of considering extreme natural disasters, and the disaster resistance of the power grid is improved.

[0054] Further, referring to Figure 2 , in step 130, the power loss corresponding to the converter station planning scheme under the preset disaster condition is determined, including:

[0055] Step 131, determining the equipment outage probability corresponding to the converter station planning scheme under the preset disaster condition based on the preset equipment outage probability model.

[0056] It should be noted that the equipment outage probability model is used to simulate the damage of the power grid under the condition of being affected by disasters. Specifically, different disasters may cause different damage, that is, the equipment outage probability in the face of disasters. The equipment outage probability model is an existing model. Illustratively, the equipment outage probability model can be an equipment outage probability model trained based on historical data. The historical data can include historical data of the power grid and historical data of the weather.

[0057] Step 132, determining a plurality of power grid damage conditions corresponding to the converter station planning scheme and the occurrence probability corresponding to the power grid damage condition based on the equipment outage probability.

[0058] Taking an AC-DC distribution network as an example, the equipment outage probability of device a is 50%, the equipment outage probability of device b is 50%, and the equipment outage probabilities of the two are independent, and the equipment outage probabilities of other devices are 0. At this time, the power grid damage conditions of the power grid include: condition one, only device a is damaged, the corresponding probability is 25%; condition two, only device b is damaged, the corresponding probability is 25%; condition three, only device a and device b are damaged, the corresponding probability is 25%.

[0059] Step 133, calculating the power loss corresponding to the power grid damage condition.

[0060] Step 134, determining the power loss corresponding to the converter station planning scheme based on the power loss and the occurrence probability corresponding to each power grid damage condition.

[0061] Specifically, the product of the power grid damage case corresponding outage loss and occurrence probability is calculated, and the products corresponding to each power grid damage case are summed to obtain the outage loss corresponding to the converter station planning scheme.

[0062] Continuing to illustrate the AC-DC distribution network in step 132, the outage loss corresponding to case one is A, the outage loss corresponding to case two is B, and the outage loss corresponding to case three is C. Then, the outage loss corresponding to the converter station planning scheme is A*0.25+B*0.25+C*0.25.

[0063] In this way, the outage loss corresponding to the converter station planning scheme under the predetermined disaster condition can be determined.

[0064] Specifically, the outage loss corresponding to the power grid damage case is calculated in step 133.

[0065] The outage loss is determined based on the disaster outage duration and the disaster outage load importance information. In an actual distribution network, different types of loads have different importance, and the economic loss caused by the same outage amount is also different. According to the user type, the load is classified. According to the different functions of the load, the load can be divided into government, enterprise, resident, and business, and the economic loss per unit time suffered by each type of load is different. The proportions of various loads are combined to weight and sum the loss functions.

[0066] The specific formula is as follows:

[0067]

[0068] In the formula, f CDFi is the economic loss per unit time suffered by the i-th user during the outage period; m is the number of user classifications, i is the i-th customer in the j-th user classification; n j is the total number of j-th users. It should be noted that the importance level information is very important information. Different loads have different importance. In order to reflect the importance level of the outage loss, f CDFi is the economic loss per unit time suffered during the outage period considering the importance level information.

[0069] The user outage loss function f CCDF (t) can be weighted and summed by the proportions of various loads to obtain

[0070]

[0071] In the formula, c j is the power consumption proportion of the j-th user; f SCDFj is the outage loss function of the j-th load.

[0072]

[0073] wherein f OC is the outage loss, t k is the outage time of the kth load, and N is the number of loads.

[0074] It should be noted that step 133, calculating the outage loss corresponding to the power grid damage situation, specifically includes:

[0075] reconfiguring the power grid based on the power grid damage situation; and determining the outage loss corresponding to the power grid damage situation based on the reconfigured power grid.

[0076] wherein reference Figure 3 reconfiguring the power grid based on the power grid damage situation includes:

[0077] Step 1331, adjusting the control parameters based on the current topology structure.

[0078] The control parameters can be, but are not limited to, VSC converter station control parameters in the power grid, such as DC voltage, AC reactive power, AC active power, and the like. It should be noted that different control parameters can be selected based on the actual situation of the power grid.

[0079] Step 1332, adjusting the topology structure based on the adjusted control parameters.

[0080] Step 1333, calculating the objective function value corresponding to the power grid after adjustment based on a preset objective function.

[0081] Step 1334, determining whether the objective function value meets a preset requirement.

[0082] Step 1335, if yes, determining that the adjustment is completed, otherwise, performing the step of adjusting the control parameters based on the current topology structure.

[0083] In this way, the control parameters and the topology structure are continuously adjusted (i.e., optimized), an optimal adjustment result is determined based on the objective function value, and the operation of the power grid is controlled based on the optimal adjustment result. In this way, after a disaster occurs, the operation of the power grid can be controlled based on the optimal adjustment result, the outage loss after the emergency treatment by the relevant personnel is determined, so that the predicted outage loss of the present application conforms to the actual situation.

[0084] Specifically, adjusting the control parameter based on the current topology structure comprises: adjusting the control parameter based on the current topology structure by a preset power flow algorithm; and adjusting the topology structure based on the adjusted control parameter comprises: optimizing the topology structure of the power grid based on the adjusted control parameter by a binary particle swarm optimization algorithm.

[0085] Specifically, calculating a target function value corresponding to the adjusted power grid based on a preset target function comprises:

[0086] Performing power flow calculation on the adjusted power grid to obtain a network loss.

[0087] Performing power flow calculation on the adjusted power grid to obtain a load margin.

[0088] It should be noted that the load margin can be obtained by performing continuous power flow calculation on the adjusted power grid data. The continuous power flow algorithm can more accurately calculate the load margin of an AC-DC system.

[0089] Performing power flow calculation on the adjusted power grid to obtain a power grid operation time.

[0090] Performing normalization processing on the network loss, the load margin, and the power grid operation time.

[0091] Determining a target function value based on the network loss, the load margin, and the power grid operation time.

[0092] It should be noted that the target function value can be, but is not limited to, a weighted cumulative value obtained after the network loss, the load margin, and the power grid operation time are normalized.

[0093] Further, the determining whether the target function value meets a preset requirement comprises:

[0094] Determining whether the target function value is in a preset range to obtain a first determination result.

[0095] If the first determination result is yes, determining whether the target function value is an optimal solution to obtain a second determination result.

[0096] If the second determination result is yes, it is determined that the target function value meets the preset requirement.

[0097] It should be noted that when adjusting based on the target function value, there can be two adjustment targets, one is to make the target function value in a preset range, so that the adjustment of the power grid can meet the set target. It should be noted that the power converter station planning method provided by the embodiment of the application can be applied to emergency situations, so it is very important to give an adjustment scheme in time under the condition of meeting the use demand. The scheme provided by the embodiment of the application stops adjusting when the preset demand is met, which can save decision-making time.

[0098] The other is to select the optimal target function value, and the optimal target function value represents the best adjustment effect, so selecting the optimal target function value can ensure that the operation effect of the power grid is good.

[0099] Of course, in actual application, the two methods can be referred to at the same time, for example: first, determine whether the target function value is in the preset range; if yes, it means that the minimum requirement has been met, and then determine whether the target function value is the optimal solution; if yes, it is determined that the target function value meets the preset requirement. In this way, the optimal effect can be sought on the basis of meeting the minimum requirement of the target function value.

[0100] In summary, in the scheme provided by the embodiment of the application, the different power converter station setting schemes corresponding to different power outage losses under the condition of frequent disasters are predicted. In order to make the prediction more in line with the actual situation, the damaged power grid is also reconfigured to simulate the actual situation of the emergency maintenance work of the staff on the power grid, so that the prediction result is more in line with the actual situation. By comparing the predicted power outage losses, a planning scheme with the smallest power outage loss is selected to guide the construction of the actual power converter station.

[0101] Based on any of the above embodiments, Figure 4 The structure diagram of the power converter station planning device provided by the embodiment of the application is shown in Figure 4 As shown in the figure, the device comprises:

[0102] The acquisition unit 41 acquires the basic data of the power grid; the power grid comprises a power converter station.

[0103] The first determination unit 42 is configured to determine a power converter station planning set based on the basic data; the power converter station planning set comprises a plurality of power converter station planning schemes; the power converter station planning scheme makes the power grid meet a preset operation constraint condition.

[0104] The second determination unit 43 is configured to determine the power outage loss corresponding to the power converter station planning scheme under a preset disaster condition.

[0105] The selecting unit 44 is configured to select, from the set of converter station planning schemes, the converter station planning scheme with the minimum power cut loss as the target converter station planning scheme.

[0106] Optionally, the determining the power cut loss corresponding to the converter station planning scheme under the preset disaster condition comprises:

[0107] determining, based on a preset equipment outage probability model, an equipment outage probability corresponding to the converter station planning scheme under the preset disaster condition;

[0108] determining, based on the equipment outage probability, a plurality of power grid damage conditions corresponding to the converter station planning scheme and occurrence probabilities corresponding to the power grid damage conditions;

[0109] calculating a power cut loss corresponding to the power grid damage condition;

[0110] determining the power cut loss corresponding to the converter station planning scheme based on the power cut loss and the occurrence probability corresponding to each power grid damage condition.

[0111] Optionally, the calculating the power cut loss corresponding to the power grid damage condition comprises:

[0112] performing network reconfiguration on the power grid based on the power grid damage condition;

[0113] determining the power cut loss corresponding to the power grid damage condition based on the power grid after network reconfiguration.

[0114] Optionally, the performing network reconfiguration on the power grid based on the power grid damage condition comprises:

[0115] adjusting a control parameter and a topology structure of the power grid based on the power grid damage condition.

[0116] Optionally, the adjusting the control parameter and the topology structure of the power grid comprises:

[0117] adjusting the control parameter based on the current topology structure;

[0118] adjusting the topology structure based on the adjusted control parameter;

[0119] calculating a target function value corresponding to the power grid after adjustment based on a preset target function;

[0120] determining whether the target function value meets a preset requirement;

[0121] if yes, determining that the adjustment is completed, and otherwise, performing the adjusting the control parameter based on the current topology structure.

[0122] Optionally, the power grid damage situation corresponds to a power outage loss determined based on a disaster duration, disaster load importance information, and reconstruction cost.

[0123] Optionally, the preset operation constraint condition includes at least one of the following conditions: a converter station constraint condition, a power flow constraint condition, a voltage constraint condition, a power constraint condition, and a topology constraint condition.

[0124] Figure 5 A structural schematic diagram of an electronic device provided by an embodiment of the present application is shown in FIG. 1. Figure 5 As shown in FIG. 1, the electronic device can include a processor 510, a communications interface 520, a memory 530, and a communications bus 540, wherein the processor 510, the communications interface 520, and the memory 530 complete mutual communication through the communications bus 540. The processor 510 can invoke a logic command in the memory 530 to execute the following method: obtaining basic data of a power grid; the power grid includes a converter station; determining a converter station planning set satisfying a preset operation constraint condition based on the power grid basic data; the converter station planning set includes a plurality of converter station planning schemes; determining a power outage loss corresponding to each converter station planning scheme through a preset disaster scenario model based on the converter station planning set and the basic data; and selecting a converter station planning scheme corresponding to the minimum power outage loss as a target converter station planning scheme.

[0125] In addition, the logic command in the memory 530 described above can be implemented in the form of a software function unit and sold or used as an independent product, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the technical solutions that essentially contribute to the prior art can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of commands to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in the various embodiments of the present application. The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various program code storage media.

[0126] The embodiment of the present application further provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method provided by the above-mentioned embodiments, for example, comprising: acquiring basic data of a power grid; the power grid comprises a converter station; determining a converter station planning set meeting a preset operation constraint condition based on the basic data of the power grid; the converter station planning set comprises: a plurality of converter station planning schemes; determining a power cut loss corresponding to each of the converter station planning schemes by a preset disaster scenario model based on the converter station planning set and the basic data; and selecting a converter station planning scheme corresponding to the minimum power cut loss as a target converter station planning scheme.

[0127] The apparatus embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0128] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and necessary universal hardware platforms, and of course, can also be realized by hardware. Based on such understanding, the above technical solutions, essentially or in the form of software products, can be embodied in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including a plurality of commands to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0129] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of planning a converter station, characterized in that, The method comprises the following steps: obtaining basic data of a power grid; the power grid comprises a converter station; the power grid is a power grid to be built or a power grid to be improved; the basic data of the power grid comprises: main power consumption nodes of the power grid, power supply nodes, requirements of each power consumption node, requirements of each power supply node, devices to be used in the power grid, information of each device, a number of converter stations, and positions where the converter stations can be arranged; the converter station is a VSC converter station; based on the basic data, determining a converter station planning set; the converter station planning set comprises: a plurality of converter station planning schemes; the converter station planning schemes make the power grid meet preset operation constraint conditions; the converter station planning scheme comprises a position where the converter station is arranged and a capacity of the converter station; discretization processing is performed on alternative capacities of the VSC converter station, the alternative capacities are divided into three levels of large, medium and small, and positions of tie switches are taken as alternative positions of the VSC converter station; the preset operation constraint conditions comprise at least one of the following conditions: a converter station constraint condition, a power flow constraint condition, a voltage constraint condition, a power constraint condition, and a topology constraint condition; determining a power outage loss corresponding to the converter station planning scheme under a preset disaster condition; selecting, from the converter station planning set, the converter station planning scheme with the minimum power outage loss as a target converter station planning scheme; the determination of the power outage loss corresponding to the converter station planning scheme under the preset disaster condition comprises: based on a preset device outage probability model, determining a device outage probability corresponding to the converter station planning scheme under the preset disaster condition; based on the device outage probability, determining a plurality of power grid damage conditions corresponding to the converter station planning scheme and occurrence probabilities corresponding to the power grid damage conditions; calculating a power outage loss corresponding to the power grid damage condition; based on the power outage loss and the occurrence probability corresponding to each power grid damage condition, determining a power outage loss corresponding to the converter station planning scheme; the calculation of the power outage loss corresponding to the power grid damage condition comprises: based on the power grid damage condition, performing network reconfiguration on the power grid; based on the power grid after the network reconfiguration, determining a power outage loss corresponding to the power grid damage condition; the power outage loss corresponding to the converter station planning scheme is a product of the power outage loss and the occurrence probability corresponding to the power grid damage condition, and is obtained by summing the products corresponding to each power grid damage condition.

2. The converter station planning method of claim 1, wherein, the network reconfiguration on the power grid based on the power grid damage condition comprises: based on the power grid damage condition, adjusting control parameters and a topology structure of the power grid.

3. The converter station planning method of claim 2, wherein, the adjustment of the control parameters and the topology structure of the power grid comprises: adjusting the control parameters based on the current topology structure; adjusting the topology structure based on the adjusted control parameters; based on a preset objective function, calculating an objective function value corresponding to the adjusted power grid; determining whether the objective function value meets a preset requirement; if yes, it is determined that the adjustment is completed, otherwise, the step of adjusting the control parameters based on the current topology structure is performed.

4. A converter station planning device, characterized by comprising: The method comprises the following steps: obtaining basic data of a power grid by a obtaining unit; The power grid comprises a converter station; the power grid is a power grid to be built or a power grid to be improved; The basic data of the power grid comprises: main power consumption nodes, power supply nodes, requirements of each power consumption node, requirements of each power supply node, devices to be used by the power grid, information of each device, a number of converter stations, and positions where the converter stations can be arranged; the converter station is a VSC converter station; The first determining unit is configured to determine a converter station planning set based on the basic data; the converter station planning set comprises a plurality of converter station planning schemes; the converter station planning schemes make the power grid meet preset operation constraint conditions; a converter station planning scheme comprises an arrangement position of a converter station and a capacity of the converter station; an alternative capacity of the VSC converter station is discretely processed, the alternative capacity is divided into three levels of large, medium, and small, and positions of tie switches are taken as alternative positions of the VSC converter station; the preset operation constraint conditions comprise at least one of the following conditions: a converter station constraint condition, a power flow constraint condition, a voltage constraint condition, a power constraint condition, and a topology constraint condition; The second determining unit is configured to determine a power cut loss corresponding to the converter station planning scheme under a preset disaster condition; the determination of the power cut loss corresponding to the converter station planning scheme under the preset disaster condition comprises: determining, based on a preset device outage probability model, a device outage probability of the converter station planning scheme under the preset disaster condition; determining, based on the device outage probability, a plurality of power grid damage conditions corresponding to the converter station planning scheme and occurrence probabilities corresponding to the power grid damage conditions; calculating a power cut loss corresponding to the power grid damage conditions; determining, based on the power cut loss and the occurrence probability corresponding to each power grid damage condition, a power cut loss corresponding to the converter station planning scheme; the calculation of the power cut loss corresponding to the power grid damage conditions comprises: performing network reconfiguration on the power grid based on the power grid damage conditions; determining the power cut loss corresponding to the power grid damage conditions based on the power grid after the network reconfiguration; the power cut loss corresponding to the converter station planning scheme is a product of the power cut loss and the occurrence probability corresponding to the power grid damage conditions, and is obtained by summing the products corresponding to the power grid damage conditions; The selecting unit is configured to select, from the converter station planning set, a converter station planning scheme with the minimum power cut loss as a target converter station planning scheme.

5. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the converter station planning method in any one of claims 1 to 3.

6. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the converter station planning method in any one of claims 1 to 3.

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