Method for calculating load-carrying capacity ratio of power distribution network and related device

Abstract

The application relates to a power distribution network capacity-load ratio calculation method and a related device thereof, which comprises the following steps: obtaining the maximum power supply capacity of a power distribution network in a target area; wherein the maximum power supply capacity is related to the power supply capacities of various substations in the power distribution network and the network transfer capacities between the substations; determining a power balance interval of the target area based on a load time sequence curve and a photovoltaic power generation time sequence curve of the target area within a preset time length; wherein the power balance interval is related to the maximum load value of the load time sequence curve and the maximum power generation value of the photovoltaic power generation time sequence curve; and calculating the target capacity-load ratio of the target area based on the maximum power supply capacity and the power balance interval. According to the scheme, the capacity-load ratio of the power distribution network can be calculated according to the time sequence characteristics of the distributed photovoltaic and the mutual power supply and mutual transfer capacities of the power distribution network, the accuracy of the capacity-load ratio is improved, and the planning accuracy of the power distribution network is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power distribution network, and particularly relates to a power distribution network load capacity ratio calculation method and a related device thereof. BACKGROUND

[0002] Traditional power distribution network planning is mainly designed based on the characteristics of one-way power flow and deterministic power flow. With the large-scale grid connection of distributed photovoltaic, the multi-directionality and uncertainty of power flow of the power distribution network are caused, which makes it difficult to achieve power balance in the power distribution network planning.

[0003] In the conventional power distribution network planning, the transformer planning is generally set by calculating the load capacity ratio of the power distribution network. However, the conventional load capacity ratio calculation method does not consider the time sequence characteristics of the distributed photovoltaic and the mutual supply and mutual transfer capability of the power distribution network, so that the conventional load capacity ratio is difficult to meet the power balance demand in the high proportion distributed photovoltaic penetration scene. SUMMARY

[0004] To solve or partially solve the problems in the related art, the present application provides a power distribution network load capacity ratio calculation method and a related device thereof, which can calculate the load capacity ratio of the power distribution network according to the time sequence characteristics of the distributed photovoltaic and the mutual supply and mutual transfer capability of the power distribution network, improve the accuracy of the load capacity ratio, and improve the planning accuracy of the power distribution network.

[0005] The first aspect of the present application provides a power distribution network load capacity ratio calculation method, comprising: obtaining the maximum power supply capacity of the power distribution network in a target area; wherein the maximum power supply capacity is associated with the power supply capacity of each transformer substation in the power distribution network and the network transfer capacity between each transformer substation; determining the power balance interval of the target area based on the load time sequence curve and the photovoltaic power generation time sequence curve of the target area within a preset time length; wherein the power balance interval is associated with the maximum load value of the load time sequence curve and the maximum power generation value of the photovoltaic power generation time sequence curve; and calculating the target load capacity ratio of the target area based on the maximum power supply capacity and the power balance interval.

[0006] In combination with the first aspect, in a possible implementation manner of the first aspect, the obtaining the maximum power supply capacity of the power distribution network in the target area comprises: calculating the first power supply capacity of each transformer substation according to the capacity of each main transformer in the transformer substation and a preset short-time allowable overload parameter; calculating the network transfer capacity of the transformer substation according to the first power supply capacity of the transformer substation and the capacity of the largest main transformer in the transformer substation; and calculating the maximum power supply capacity of the power distribution network according to the first power supply capacity and the network transfer capacity of each transformer substation in the power distribution network.

[0007] With reference to the first aspect, in a possible implementation manner of the first aspect, the short-time allowable overload parameter is a first preset threshold when the load rate of the main transformer is not greater than a first load rate threshold, and the short-time allowable overload parameter is a second preset threshold when the load rate of the main transformer is greater than the first load rate threshold.

[0008] With reference to the first aspect, in a possible implementation manner of the first aspect, the method further includes: obtaining a load type corresponding to the target region based on a land type of the target region; obtaining a load normalization curve of the target region based on the load type; obtaining a load prediction result of the target region, and obtaining a load time sequence curve of the target region according to the load prediction result and the load normalization curve.

[0009] With reference to the first aspect, in a possible implementation manner of the first aspect, the method further includes: constructing a photovoltaic output curve of a single photovoltaic power source in the target region based on land resource information of the target region; and obtaining a photovoltaic power time sequence curve of the photovoltaic power source according to a photovoltaic installed capacity of the photovoltaic power source and the photovoltaic output curve.

[0010] With reference to the first aspect, in a possible implementation manner of the first aspect, the determining the power balance interval of the target region based on the load time sequence curve and the photovoltaic power time sequence curve of the target region within a preset time length includes: calculating, for each time point within the preset time length, a difference value between a load value on the load time sequence curve and a photovoltaic output value on the photovoltaic power time sequence curve to obtain a net load time sequence; calculating, for each time point within the preset time length, a difference value between the photovoltaic output value on the photovoltaic power time sequence curve and the load value on the load time sequence curve to obtain a net power generation time sequence; obtaining a maximum net load value on the net load time sequence and a maximum net power generation value on the net power generation time sequence respectively; and determining the power balance interval of the target region according to the maximum net load value and the maximum net power generation value.

[0011] With reference to the first aspect, in a possible implementation manner of the first aspect, the calculating the target capacity-load ratio of the target region based on the maximum power supply capacity and the power balance interval includes: calculating a load power supply capacity-load ratio of the target region according to the maximum power supply capacity and the maximum net load value, wherein the load power supply capacity-load ratio is positively correlated with the maximum power supply capacity; calculating a photovoltaic load capacity-load ratio of the target region according to the maximum power supply capacity and the maximum net power generation value, wherein the photovoltaic load capacity-load ratio is positively correlated with the maximum power supply capacity; and determining the target capacity-load ratio of the target region according to the load power supply capacity-load ratio and the photovoltaic load capacity-load ratio.

[0012] The second aspect of the present application provides a power distribution network capacity-load ratio calculation device, comprising: an acquisition module configured to acquire maximum power supply capacity of a power distribution network in a target area; wherein the maximum power supply capacity is associated with power supply capacity of each substation in the power distribution network and network transfer capacity between each substation; a determination module configured to determine a power balance interval of the target area based on a load time curve and a photovoltaic power generation time curve of the target area within a preset time length; wherein the power balance interval is associated with a maximum load value of the load time curve and a maximum power generation value of the photovoltaic power generation time curve; and a calculation module configured to calculate a target capacity-load ratio of the target area based on the maximum power supply capacity and the power balance interval.

[0013] The third aspect of the present application provides an electronic device, comprising:

[0014] a processor; and

[0015] a memory having executable code stored thereon, which, when executed by the processor, causes the processor to perform the method described above.

[0016] The fourth aspect of the present application provides a computer-readable storage medium having executable code stored thereon, which, when executed by a processor of an electronic device, causes the processor to perform the method described above.

[0017] The technical solution provided by the present application can include the following beneficial effects:

[0018] The power distribution network capacity-load ratio calculation method and related device provided by the present application comprises: acquiring maximum power supply capacity of a power distribution network in a target area; wherein the maximum power supply capacity is associated with power supply capacity of each substation in the power distribution network and network transfer capacity between each substation; determining a power balance interval of the target area based on a load time curve and a photovoltaic power generation time curve of the target area within a preset time length; wherein the power balance interval is associated with a maximum load value of the load time curve and a maximum power generation value of the photovoltaic power generation time curve; and calculating a target capacity-load ratio of the target area based on the maximum power supply capacity and the power balance interval. The capacity-load ratio of the power distribution network can be calculated according to the time sequence characteristics of the distributed photovoltaic and the mutual supply and mutual transfer capacity of the power distribution network, the accuracy of the capacity-load ratio is improved, and the planning accuracy of the power distribution network is improved.

[0019] It should be understood that the foregoing general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0020] The above and other objects, features and advantages of the present application will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings in which like reference characters refer to like parts throughout the figures, and in which:

[0021] Figure 1 is a flowchart of a load capacity ratio calculation method of a power distribution network according to an embodiment of the present application;

[0022] Figure 2 is a structural diagram of a load capacity ratio calculation device of a power distribution network according to an embodiment of the present application;

[0023] Figure 3 is a structural diagram of an electronic device according to an embodiment of the present application;

[0024] Figure 4 is a load time series curve diagram of a commercial land according to an embodiment of the present application;

[0025] Figure 5 is a load time series curve diagram of a residential land according to an embodiment of the present application;

[0026] Figure 6 is a load time series curve diagram of a photovoltaic power generation according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] Embodiments of the present application will be described more fully hereinafter with reference to the accompanying drawings, in which like reference characters refer to like parts throughout the several views. Embodiments of the application can be implemented in various forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided as food for thought to one skilled in the art. The purpose of the embodiments is to convey the essence of the present application to those skilled in the art to enable the practice of the present application.

[0028] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and / or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0029] It should be understood that, although the terms "first", "second", "third", etc. can be used in this application to describe various information, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information without departing from the scope of the application. Therefore, the features defined as "first", "second" can explicitly or implicitly include one or more features. In the description of the application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0030] In the related art, in the traditional power distribution network planning, the unidirectional power flow and the loop-breaking operation mode make the power flow distribution have time and space certainty. With high penetration rate of distributed photovoltaic access, the power distribution network presents multi-directional power flow characteristics, and the distributed photovoltaic output and the load demand present significant time sequence difference. The traditional load capacity ratio calculation method only determines the substation capacity according to the maximum load value, without considering the time sequence coupling relationship between the distributed power output and the load, which leads to difficulty in meeting the power balance in the power distribution network planning.

[0031] To solve the above problems, the embodiment of the application provides a load capacity ratio calculation method of a power distribution network, which can calculate the load capacity ratio of the power distribution network according to the time sequence characteristics of the distributed photovoltaic and the mutual supply and mutual conversion capability of the power distribution network, improve the accuracy of the load capacity ratio, and improve the planning accuracy of the power distribution network.

[0032] The technical solutions of the embodiments of the application are described in detail below with reference to the drawings.

[0033] Figure 1 is a flowchart of the load capacity ratio calculation method of the power distribution network shown in the embodiments of the application.

[0034] Referring to Figure 1 , a load capacity ratio calculation method of a power distribution network comprises:

[0035] S110: Obtain the maximum power supply capability of the power distribution network in the target area; wherein the maximum power supply capability is associated with the power supply capability of each substation in the power distribution network and the network transfer capability between each substation.

[0036] Specifically, the maximum power supply capability refers to the maximum power supply that the power distribution network can provide after considering the power supply capability of each substation and the network transfer capability between the substations, the power supply capability of the substation refers to the maximum power supply capacity that a single substation can provide, the network transfer capability refers to the maximum capacity of load transfer between substations through the tie line, and the maximum power supply capability can be calculated by the power supply capability of each substation and the network transfer capability between each substation.

[0037] In a possible implementation, the maximum power supply capacity of the power distribution network in the target area is obtained, including: calculating a first power supply capacity of a substation according to a capacity of each main transformer in the substation and a preset short-time allowable overload parameter; calculating a network transfer capacity of the substation according to the first power supply capacity of the substation and the capacity of the largest main transformer in the substation; and calculating the maximum power supply capacity of the power distribution network according to the first power supply capacity and the network transfer capacity of each substation in the power distribution network.

[0038] Specifically, the preset short-time allowable overload parameter refers to a capacity amplification multiple allowed by the main transformer under a short-time overload operation condition, for example, different coefficient values corresponding to different load rate intervals of the main transformer, and a calculation formula of the first power supply capacity of the substation is as follows:

[0039]

[0040] wherein, is the first power supply capacity of the substation, i is a substation number, j is a main transformer number in the substation, Tran i is a number of main transformers in the i-th substation, k is a short-time allowable overload coefficient of the main transformer, S i,j is a capacity of the j-th main transformer in the i-th substation, max(S i,j ) is a capacity of the largest main transformer in the i-th substation.

[0041] Specifically, after the first power supply capacity of each substation is calculated, the network transfer capacity of each substation can be calculated according to the following formula:

[0042]

[0043]

[0044]

[0045] wherein, is the network transfer capacity of the i-th substation, is the network transfer capacity of the j-th substation, t ij is a size of the load transferable from the i-th substation to the j-th substation, is a size of the load transferable from the j-th substation to the i-th substation, after the first power supply capacity and the network transfer capacity of each substation are calculated, the maximum power supply capacity of the power distribution network can be calculated, and a calculation formula of the maximum power supply capacity of the power distribution network is as follows:

[0046]

[0047] wherein, is the maximum power supply capacity of the power distribution network, is the sum of the first power supply capacity of each substation in the power distribution network, is the sum of the network transfer capacity of each substation in the power distribution network, for example, there are 5 substations in the power distribution network, the first power supply capacity of the substations is 144 MVA, 120 MVA, 100 MVA, 80 MVA and 60 MVA respectively, and the network transfer capacity is 20 MVA, 15 MVA, 10 MVA, 8 MVA and 5 MVA respectively, then the maximum power supply capacity of the power distribution network is 562 MVA, by calculating the power supply capacity and the network transfer capacity of each substation, the rationality and accuracy of the power distribution network planning can be improved.

[0048] In a possible implementation, the method further includes: when the load rate of the main transformer is not greater than a first load rate threshold, the short-time allowable overload parameter is a first preset threshold; and when the load rate of the main transformer is greater than the first load rate threshold, the short-time allowable overload parameter is a second preset threshold.

[0049] Specifically, the short-time allowable overload parameter can be divided into different values according to the load rate interval, the first load rate threshold can be 80%, the first preset threshold can be 1.2, and the second preset threshold can be 1.1, for example, when the load rate of the main transformer is lower than 80%, the short-time allowable overload parameter is 1.2; and when the load rate of the main transformer is higher than 80%, the short-time allowable overload parameter is 1.1, by dynamically adjusting the short-time allowable overload parameter, the calculation of the power supply capacity of the substation can be closer to the actual operation condition, and the accuracy of the power supply capacity of the substation can be improved.

[0050] For example, when calculating the power supply capacity of the substation, the load rate state of the main transformer can be monitored in real time, if the load rate does not exceed 80%, the capacity of the main transformer is calculated by the short-time allowable overload parameter of 1.2; and if the load rate exceeds 80%, the capacity of the main transformer is calculated by the short-time allowable overload parameter of 1.1, to limit the overload amplitude and ensure the safety of the equipment, for example, the rated capacity of a certain main transformer is 50 MVA, when the load rate is 75%, the short-time allowable overload parameter is 1.2, and the power supply capacity can reach 60 MVA; when the load rate rises to 85%, the short-time allowable overload parameter is 1.1, and the power supply capacity calculation value is reduced to 55 MVA, by establishing the mapping relationship between the load rate threshold and the short-time allowable overload parameter, the calculation accuracy of the power supply capacity can be improved, and the risk of equipment overload under high load condition can be avoided.

[0051] S120: determining a power balance interval of the target region based on the load time sequence curve and the photovoltaic power time sequence curve of the target region within a preset time length; wherein the power balance interval is associated with a maximum load value of the load time sequence curve and a maximum power generation value of the photovoltaic power time sequence curve.

[0052] Specifically, the load time curve is used to indicate the actual power demand in the target area at different time periods, the photovoltaic power generation time curve is used to indicate the time output characteristics of the photovoltaic system, and the power balance interval can be used to represent the maximum power demand and the maximum reverse power that the power distribution network needs to bear, which can be obtained by obtaining the maximum load value of the load time curve and the maximum power generation value of the photovoltaic output curve.

[0053] Referring to Figures 4-5 In a possible implementation, the method further includes: obtaining a load type corresponding to the target area based on a land type of the target area; obtaining a load normalization curve of the target area based on the load type; obtaining a load prediction result of the target area, and obtaining a load time curve of the target area according to the load prediction result and the load normalization curve.

[0054] Specifically, the load type corresponding to different land types can be obtained according to the land type of the target area. For example, the land type can be residential land, commercial land, industrial land, and the like. For each land type, a typical daily load curve is extracted from historical power consumption data and normalized, thereby obtaining load normalization curves of different types such as residential, commercial, and industrial. Then, a maximum load prediction value of a future year of the target area is obtained, for example, 100 MW. Then, the maximum load prediction value is multiplied by each type of load normalization curve, and a weighted sum is obtained according to the land type proportion, and finally a 24-hour load time curve of the target area is obtained.

[0055] Specifically, the calculation formula of the load time curve is as follows:

[0056]

[0057] wherein, P load (t) is the load time curve, t = 1, 2, …, 24; is the load prediction result; is the load normalization curve of the target area, which can better reflect the actual power demand of the target area and improve the scientificity and rationality of the power distribution network planning according to the power consumption characteristics of different types of loads.

[0058] Referring to Figure 6 In a possible implementation, the method further includes: constructing a photovoltaic output curve of a single photovoltaic power source in the target area based on land resource information of the target area; and obtaining a photovoltaic power generation time curve according to the photovoltaic installed capacity of the photovoltaic power source and the photovoltaic output curve.

[0059] Specifically, the land resource information refers to regional light intensity, terrain characteristics and climate data obtained through geographical grid division. Through the land resource information, the photovoltaic power generation capacity of different geographical positions in the target region can be obtained. The photovoltaic power output curve refers to the standardized curve of photovoltaic power generation power changing with time under unit installed capacity. The photovoltaic installed capacity is the sum of the rated power of distributed photovoltaic devices in the target region, which can be obtained in advance. For example, the target region can be divided into multiple geographical grids. The solar radiation intensity, cloud coverage and temperature data in each grid are collected to form a resource endowment database. Based on the database, the normalized curve of photovoltaic output changing with time under unit installed capacity in each grid is extracted, for example, the output peak value in the noon period under sunny conditions can reach 0.9, while the output value in the rainy weather period is lower than 0.2. Then, the photovoltaic installed capacity of the target region is multiplied by the photovoltaic output curve to obtain the photovoltaic output value per hour, and finally a 24-hour photovoltaic power time sequence curve is generated.

[0060] Specifically, the calculation formula of the photovoltaic power time sequence curve is as follows:

[0061]

[0062] wherein, P PV (t) is the photovoltaic power time sequence curve, t = 1, 2, …, 24; is the photovoltaic installed capacity. By generating the photovoltaic power time sequence curve, it is helpful to make more reasonable power distribution network planning scheme and improve the reliability and economy of the power distribution network.

[0063] In one possible implementation, based on the load time sequence curve and the photovoltaic power time sequence curve of the target region within a preset time length, the power balance interval of the target region is determined, including: for each time point within the preset time length, calculating the difference between the load value on the load time sequence curve and the photovoltaic output value on the photovoltaic power time sequence curve to obtain a net load time sequence; for each time point within the preset time length, calculating the difference between the photovoltaic output value on the photovoltaic power time sequence curve and the load value on the load time sequence curve to obtain a net power generation time sequence; obtaining the maximum net load value on the net load time sequence and the maximum net power generation value on the net power generation time sequence, respectively; and determining the power balance interval of the target region according to the maximum net load value and the maximum net power generation value.

[0064] Specifically, the net load time sequence is a sequence formed by the difference between the load demand and the photovoltaic power generation capacity at each time point. The net load time sequence can reflect the real-time gap between the load demand and the local photovoltaic power generation capacity. The maximum net load value can be obtained from the net load time sequence. The maximum net load value is the peak value in the net load time sequence, and can be used to indicate the maximum demand of the power distribution network of the target region.

[0065] Specifically, the net power generation time sequence is a sequence formed by the part of the photovoltaic power generation at each time point exceeding the load demand, the net power generation time sequence can reflect the real-time surplus of the photovoltaic power generation exceeding the local load demand, the maximum net power generation value can be obtained from the net power generation time sequence, the maximum net power generation value can be used to indicate the maximum photovoltaic power generation surplus of the target area within a preset time length, and through the maximum net load value and the maximum net power generation value, the upper and lower limit ranges of the power balance interval of the target area can be formed. For example, the calculation formula of the maximum net load value is: , wherein, is the maximum net load value, and the calculation formula of the maximum net power generation value is , wherein, is the maximum net power generation value, and the power balance interval is: [P maxload , P maxgen ]. By establishing the power balance interval, the reliability and economy of the power distribution network can be improved.

[0066] S130: based on the maximum power supply capacity and the power balance interval, a target capacity-load ratio of the target area is calculated.

[0067] Specifically, the target capacity-load ratio refers to the ratio of the power distribution network capacity to the load demand calculated by comprehensively considering the maximum power supply capacity and the power balance interval. The capacity-load ratio can be determined by associating and calculating the maximum power supply capacity with the maximum net load value and the maximum net power generation value, so as to balance the load power supply and photovoltaic load demand. Through the power balance interval index and the maximum power supply capacity of the power distribution network, the capacity-load ratio calculated can better reflect the actual load level of the power distribution network, and can be better applied to the power distribution network planning scenario with high proportion of distributed power access.

[0068] In one possible implementation, a load power supply capacity-load ratio of the target area is calculated according to the maximum power supply capacity and the maximum net load value, wherein the load power supply capacity-load ratio is positively correlated with the maximum power supply capacity; a photovoltaic load capacity-load ratio of the target area is calculated according to the maximum power supply capacity and the maximum net power generation value, wherein the photovoltaic load capacity-load ratio is positively correlated with the maximum power supply capacity; and a target capacity-load ratio of the target area is determined according to the load power supply capacity-load ratio and the photovoltaic load capacity-load ratio.

[0069] Specifically, the calculation formula of the load power supply capacity-load ratio is as follows: , wherein, is the load power supply capacity-load ratio, and the larger the load power supply capacity-load ratio is, the higher the power supply margin of the power distribution network to the load is; and the calculation formula of the photovoltaic load capacity-load ratio is as follows: , wherein, is the photovoltaic load capacity-load ratio, and the larger the photovoltaic load capacity-load ratio is, the stronger the load capacity of the power distribution network to the photovoltaic power generation is; and the calculation formula of the target capacity-load ratio is: wherein, is a target load ratio, for example, when the load power supply load ratio is 1.8 and the photovoltaic load ratio is 2.0, the target load ratio is taken as 2.0, ensuring that the power grid capacity meets the power supply demand of the load peak period and the consumption demand of the photovoltaic power generation peak period.

[0070] Corresponding to the foregoing application function implementation method embodiment, the application further provides a load ratio calculation device of a power grid, an electronic device, and corresponding embodiments.

[0071] Figure 2 is a structural schematic diagram of the load ratio calculation device of the power grid shown in the embodiment of the application.

[0072] Referring to Figure 2 A load ratio calculation device 200 of a power grid comprises:

[0073] The acquisition module 210 is configured to acquire the maximum power supply capacity of the power grid in the target area; wherein the maximum power supply capacity is associated with the power supply capacity of each transformer substation in the power grid and the network transfer capacity between the transformer substations.

[0074] In a possible implementation, the acquisition module 210 is further configured to calculate the first power supply capacity of the transformer substation according to the capacity of each main transformer in the transformer substation and a preset short-time allowable overload parameter; calculate the network transfer capacity of the transformer substation according to the first power supply capacity of the transformer substation and the capacity of the largest main transformer in the transformer substation; and calculate the maximum power supply capacity of the power grid according to the first power supply capacity and the network transfer capacity of each transformer substation in the power grid.

[0075] In a possible implementation, the acquisition module 210 is further configured to, when the load rate of the main transformer is not greater than a first load rate threshold, set the short-time allowable overload parameter as a first preset threshold; and when the load rate of the main transformer is greater than the first load rate threshold, set the short-time allowable overload parameter as a second preset threshold.

[0076] The determination module 220 is configured to determine the power balance interval of the target area based on the load time sequence curve and the photovoltaic power time sequence curve of the target area within a preset time length; wherein the power balance interval is associated with the maximum load value of the load time sequence curve and the maximum power generation value of the photovoltaic power time sequence curve.

[0077] In a possible implementation, the determination module 220 is further configured to acquire the load type corresponding to the target area based on the land type of the target area; obtain the load normalization curve of the target area based on the load type; acquire the load prediction result of the target area, and obtain the load time sequence curve of the target area according to the load prediction result and the load normalization curve.

[0078] In a possible implementation, the determining module 220 is further configured to construct a photovoltaic output curve of a single photovoltaic power supply in the target region based on land resource information of the target region; and obtain a photovoltaic power generation time sequence curve according to the photovoltaic installed capacity of the photovoltaic power supply and the photovoltaic output curve.

[0079] In a possible implementation, the determining module 220 is further configured to obtain a difference between a load value on the load time sequence curve and a photovoltaic output value on the photovoltaic power generation time sequence curve at each time point in the preset time length, to obtain a net load time sequence; obtain a difference between the photovoltaic output value on the photovoltaic power generation time sequence curve and the load value on the load time sequence curve at each time point in the preset time length, to obtain a net power generation time sequence; obtain a maximum net load value on the net load time sequence and a maximum net power generation value on the net power generation time sequence respectively; and determine the power balance interval of the target region according to the maximum net load value and the maximum net power generation value.

[0080] The calculating module 230 is configured to calculate the target capacity-load ratio of the target region based on the maximum power supply capacity and the power balance interval.

[0081] In a possible implementation, the calculating module 230 is further configured to calculate a load power supply capacity-load ratio of the target region according to the maximum power supply capacity and the maximum net load value, wherein the load power supply capacity-load ratio is positively correlated with the maximum power supply capacity; calculate a photovoltaic bearing capacity-load ratio of the target region according to the maximum power supply capacity and the maximum net power generation value, wherein the photovoltaic bearing capacity-load ratio is positively correlated with the maximum power supply capacity; and determine the target capacity-load ratio of the target region according to the load power supply capacity-load ratio and the photovoltaic bearing capacity-load ratio.

[0082] The power distribution network capacity-load ratio calculation device provided in the application comprises: an obtaining module configured to obtain a maximum power supply capacity of a power distribution network in a target region; wherein the maximum power supply capacity is associated with power supply capacities of various transformer substations in the power distribution network and network transfer capacities between the transformer substations; a determining module configured to determine a power balance interval of the target region based on a load time sequence curve and a photovoltaic power generation time sequence curve of the target region in a preset time length; wherein the power balance interval is associated with a maximum load value of the load time sequence curve and a maximum power generation value of the photovoltaic power generation time sequence curve; and a calculating module configured to calculate a target capacity-load ratio of the target region based on the maximum power supply capacity and the power balance interval, which can calculate the capacity-load ratio of the power distribution network according to the time sequence characteristics of the distributed photovoltaic and the mutual power supply and mutual transfer capacity of the power distribution network, improve the accuracy of the capacity-load ratio, and improve the planning accuracy of the power distribution network.

[0083] As to the apparatus in the above-described embodiments, specific manners in which various modules perform operations have been described in details in the embodiments of the method, and will not be described in details here.

[0084] The application also provides an electronic device.Figure 3 Fig. 1 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application. The electronic device includes a memory 320 and at least one processor 310. The memory 320 is electrically connected to the at least one processor 310. The memory 320 stores instructions. The at least one processor 310 invokes the instructions in the memory 320, so that the electronic device performs the power distribution network load capacity ratio calculation method according to any one of the preceding embodiments of the present application.

[0085] Specifically, the processor 310 can include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement one or more embodiments of the present application.

[0086] The memory 320 can include a mass storage that stores data or instructions. For example, but not limited to, the memory 320 can include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 320 can include a removable or non-removable (or fixed) media. Where appropriate, the memory 320 can be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, the memory 320 is a non-volatile solid-state memory. In a particular embodiment, the memory 320 includes read-only memory (ROM). Where appropriate, the ROM can be a mask-programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), electrically alterable ROM (EAROM), or flash memory, or a combination of two or more of these.

[0087] In one example, the control device can further include a communication interface 330 and a bus 340. The processor 310, the memory 320, and the communication interface 330 are connected through the bus 340 and complete communication with each other.

[0088] The communication interface 330 is mainly used to realize the communication between the modules, devices, units, and / or equipment in the embodiments of the present application.

[0089] Bus 340 includes hardware, software, or both, to couple components of the online data traffic metering device to each other and to other components. While the application is not limited to particular bus structures, in this application, bus could be, for example, an accelerated graphics port (AGP) or other graphics bus, an enhanced industry standard architecture (EISA) bus, a front-side bus (FSB), a HyperTransport (HT) interconnect, an industry standard architecture (ISA) bus, an Infineon® Tri-Modal Bus, an infrared bus, a low pin count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a serial advanced technology attachment (SATA) bus, a video electronics standards board (VLB) bus, or another suitable bus or a combination of two or more of these. Bus 340 can include one or more buses, where appropriate. Although this application describes and illustrates a particular bus, this application contemplates any suitable bus or interconnect.

[0090] In addition, in combination with the power distribution network load capacity ratio calculation method in the above embodiments, the embodiments of the application can provide a computer readable storage medium to implement. The computer readable storage medium has instructions stored thereon, which, when executed by a processor, implement any of the power distribution network load capacity ratio calculation methods in the above embodiments.

[0091] The application is not limited to the particular configurations and processes described above and shown in the drawings. For the sake of brevity, detailed descriptions of known methods are omitted. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the application are not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order of the steps, after understanding the spirit of the application.

[0092] The functional blocks shown in the above structural block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a functional card, etc. When implemented in software, the elements of the application are program or code segments used to perform the required tasks. The program or code segments can be stored in a machine readable medium or transmitted through a data signal carried in a carrier wave over a transmission medium or communication link. The "machine readable medium" can include any medium capable of storing or transmitting information. Examples of machine readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. The code segments can be downloaded via a computer network such as the Internet, an intranet, etc.

[0093] It should also be noted that the example embodiments mentioned in the present application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or different from the order in the embodiments, or several steps are performed simultaneously.

[0094] Alternatively, the present application also provides a computer program product capable of implementing part or all of each step of the method in the above-mentioned embodiments. The computer program product includes computer programs / instructions, which, when executed by a processor, implement part or all of each step of the method in the above-mentioned embodiments.

[0095] The above is only a specific implementation of the present application, and those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, module and unit can refer to the corresponding process in the foregoing method embodiments, which will not be described here. It should be understood that the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical range disclosed in the present application, and these modifications or replacements should be covered within the protection scope of the present application.

Claims

1. A method of calculating a load capacity ratio of a power distribution network, characterized by, The method comprises: obtaining the maximum power supply capacity of the power distribution network in the target area; wherein the maximum power supply capacity is associated with the power supply capacity of each substation in the power distribution network and the network transfer capacity between each substation; based on the load time curve and the photovoltaic power generation time curve of the target area within a preset time length, determining the power balance interval of the target area; wherein the power balance interval is associated with the maximum load value of the load time curve and the maximum power generation value of the photovoltaic power generation time curve; based on the maximum power supply capacity and the power balance interval, calculating the target load ratio of the target area; the target load ratio of the target area is calculated based on the maximum power supply capacity and the power balance interval, comprising: according to the maximum power supply capacity and the maximum net load value, the load power supply load ratio of the target area is calculated; wherein the load power supply load ratio is positively correlated with the maximum power supply capacity; according to the maximum power supply capacity and the maximum net power generation value, the photovoltaic load bearing load ratio of the target area is calculated; wherein the photovoltaic load bearing load ratio is positively correlated with the maximum power supply capacity; according to the load power supply load ratio and the photovoltaic load bearing load ratio, the target load ratio of the target area is determined.

2. The method of claim 1, wherein, the maximum power supply capacity of the power distribution network in the target area is obtained, comprising: according to the capacity of each main transformer in the substation and the preset short-time allowable overload parameter, the first power supply capacity of the substation is calculated; according to the first power supply capacity of the substation and the capacity of the largest main transformer in the substation, the network transfer capacity of the substation is calculated; according to the first power supply capacity and the network transfer capacity of each substation in the power distribution network, the maximum power supply capacity of the power distribution network is calculated.

3. The method of claim 2, wherein, It also includes: when the load rate of the main transformer is not greater than the first load rate threshold, the short-time allowable overload parameter is a first preset threshold; when the load rate of the main transformer is greater than the first load rate threshold, the short-time allowable overload parameter is a second preset threshold.

4. The method of claim 1, wherein, It also includes: based on the land type of the target area, the corresponding load type of the target area is obtained; based on the load type, the load normalization curve of the target area is obtained; obtaining the load prediction result of the target area, and obtaining the load time curve of the target area according to the load prediction result and the load normalization curve.

5. The method of claim 1, wherein, It also includes: based on the land resource information of the target area, the photovoltaic output curve of a single photovoltaic power source in the target area is constructed; according to the photovoltaic installed capacity of the photovoltaic power source and the photovoltaic output curve, the photovoltaic power generation time curve is obtained.

6. The method of claim 1, wherein, based on the load time curve and the photovoltaic power generation time curve of the target area within a preset time length, the power balance interval of the target area is determined, comprising: for each time point within the preset time length, the difference between the load value on the load time curve and the photovoltaic output value on the photovoltaic power generation time curve is calculated to obtain the net load time sequence; For each time point in the preset time length, a difference between a photovoltaic output value on the photovoltaic power time curve and a load value on the load time curve is calculated to obtain a net power generation time sequence; A maximum net load value on the net load time sequence and a maximum net power generation value on the net power generation time sequence are respectively obtained; According to the maximum net load value and the maximum net power generation value, a power balance interval of the target region is determined.

7. An electric power distribution network load carrying capacity ratio calculation device characterized by comprising: Comprise: An acquisition module is configured to acquire a maximum power supply capacity of a power distribution network in a target region, wherein the maximum power supply capacity is associated with power supply capacities of various substations in the power distribution network and network transfer capacities between the various substations; A determination module is configured to determine a power balance interval of the target region based on a load time curve and a photovoltaic power time curve of the target region within a preset time length, wherein the power balance interval is associated with a maximum load value of the load time curve and a maximum power generation value of the photovoltaic power time curve; A calculation module is configured to calculate a target load ratio of the target region based on the maximum power supply capacity and the power balance interval. The calculation of the target load ratio of the target region based on the maximum power supply capacity and the power balance interval comprises: According to the maximum power supply capacity and a maximum net load value, a load power supply load ratio of the target region is calculated, wherein the load power supply load ratio is positively correlated with the maximum power supply capacity; According to the maximum power supply capacity and a maximum net power generation value, a photovoltaic load bearing load ratio of the target region is calculated, wherein the photovoltaic load bearing load ratio is positively correlated with the maximum power supply capacity; According to the load power supply load ratio and the photovoltaic load bearing load ratio, the target load ratio of the target region is determined.

8. An electronic device, comprising: Comprise: A processor; And A memory having executable code stored thereon, which, when executed by the processor, causes the processor to perform the method of any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The memory having executable code stored thereon, which, when executed by the processor of the electronic device, causes the processor to perform the method of any one of claims 1-6.

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