Offshore wind power set power resource scheduling method and system based on demand prediction

Abstract

The invention discloses an offshore wind power set power resource scheduling method and system based on demand prediction, and relates to the related technical field of wind power sets, and the method comprises the steps: obtaining a demand power supply region; performing boundary analysis on the power supply demand area to obtain a first power supply constraint area; until an Nth power supply constraint area is obtained; segmenting the required power supply area to obtain a first segmented required power supply area to an Mth segmented required power supply area; obtaining the required electric quantity of the first segmentation area to the Mth segmentation area; and carrying out output distribution on the first wind power set bit number set to the Mth wind power set bit number set. The technical problems that in the prior art, power supply analysis is carried out according to the whole power supply demand area, the energy supply loss states of different wind turbine generators are not considered, power output cannot accurately match the regional power supply demand, and consequently the power resource distribution refinement degree and the power supply efficiency are not high are solved. The technical effect of improving the function output distribution precision and the power supply efficiency is achieved.

Description

Technical Field

[0001] The present application relates to the technical field related to wind turbines, and specifically to a method and system for dispatching power resources of offshore wind turbines based on demand forecasting. Background Art

[0002] With the rapid development of renewable energy technology, offshore wind power has become an important clean renewable energy. Offshore wind power has the advantages of stable wind energy resources and small environmental impact. However, due to the intermittent and volatile nature of offshore wind power generation, offshore wind power generation is greatly affected by wind changes. The instability of its power output has become a difficulty in grid dispatching and energy management, and its grid-connected power supply process places high demands on the power dispatching system. Traditional power dispatching methods often conduct power supply analysis based on the entire demand power supply area, without considering the loss state of energy supplied by different wind turbines, ignoring the detailed allocation of regional power supply demand, and allocating power resources in a fixed mode. It is difficult to cope with the dynamic changes in offshore wind power generation output and the diversity of demand areas, resulting in a low degree of refinement in energy output distribution, unbalanced or wasteful distribution of power resources. The current dispatching method lacks dynamic analysis of the power supply area, and it is difficult to establish an efficient matching relationship between wind power output and regional demand.

[0003] Therefore, in the current relevant technologies, there is a problem of power supply analysis based on the entire power supply demand area, without considering the loss status of energy supply from different wind turbines. The power output cannot accurately match the regional power supply demand, resulting in technical problems such as low degree of refinement of power resource allocation and low power supply efficiency. Summary of the invention

[0004] The present application provides a method and system for dispatching power resources for offshore wind turbines based on demand forecasting, thereby solving the technical problems in the prior art of conducting power supply analysis based on the entire demand power supply area without considering the loss state of energy supply of different wind turbines, and the power output cannot accurately match the regional power supply demand, resulting in low degree of refinement in power resource allocation and low power supply efficiency, thereby achieving the technical effect of improving the accuracy of functional output allocation and power supply efficiency.

[0005] The present application provides an offshore wind power group power resource scheduling method based on demand forecasting, the method comprising: obtaining a demand power supply area; performing boundary analysis on the demand power supply area according to the first wind power group of the offshore wind power group to obtain a first power supply constraint area; until performing boundary analysis on the demand power supply area according to the Nth wind power group of the offshore wind power group to obtain the Nth power supply constraint area; based on the first power supply constraint area until the Nth power supply constraint area, dividing the demand power supply area to obtain a first divided demand power supply area until the Mth divided demand power supply area, wherein the first divided demand power supply area has a first wind power group bit number set until the Mth divided demand power supply area has an Mth wind power group bit number set; traversing the first divided demand power supply area until the Mth divided demand power supply area to perform power demand analysis, obtaining a first divided area power demand until the Mth divided area power demand; sending the first divided area power demand to the generator output distributor to output the first wind power group bit number set until the Mth divided area power demand is sent to the generator output distributor to output the Mth wind power group bit number set.

[0006] In a possible implementation, the offshore wind power group power resource scheduling method based on demand forecasting also performs the following processing: according to the demand power supply area, obtaining the grid-connected line topology of the first-numbered wind power group; according to the grid-connected line topology, performing power supply loss analysis on the user node set in the demand power supply area to obtain a power supply loss ratio set, wherein the power supply loss ratio is the ratio of the line power loss to the total line power; according to the power supply loss ratio set, deleting the user nodes whose power supply loss ratio is greater than or equal to the power supply loss ratio threshold from the demand power supply area to obtain the first power supply constraint area.

[0007] In a possible implementation, the offshore wind power group power resource scheduling method based on demand forecasting also performs the following processing: extracting the first user node based on the user node set; extracting a number of energy supply paths from the first-numbered wind power group to the first user node based on the grid-connected line topology; traversing the several energy supply paths to perform segmented analysis of energy supply losses to obtain a number of power supply loss ratios; extracting the minimum value of the several power supply loss ratios, setting it as the power supply loss ratio of the first user node, and adding it to the power supply loss ratio set.

[0008] In a possible implementation, the offshore wind power group power resource scheduling method based on demand forecasting also performs the following processing: extracting a first energy supply path based on the several energy supply paths; the first energy supply path includes a line type sequence, a line length sequence and a line service time sequence; extracting a first line type, a first line length and a first line service time from the line type sequence, the line length sequence and the line service time sequence; activating a first power supply loss ratio prediction model based on the first line type, processing the first line length and the first line service time, and outputting a first section power supply loss ratio; until activating a Qth power supply loss ratio prediction model based on the Qth line type, processing the Qth line length and the Qth line service time, and outputting a Qth section power supply loss ratio; accumulating the first section power supply loss ratio until the Qth section power supply loss ratio to obtain a first energy supply path loss ratio, and adding it to the several power supply loss ratios.

[0009] In a possible implementation, the offshore wind power group power resource scheduling method based on demand forecasting also performs the following processing: configuring a preset line type, collecting line length coding data and line service time coding data, wherein the preset line type includes the first line type to the Qth line type; using the line length coding data and the line service time coding data as constraints, collecting a power supply loss ratio record data set of the preset line type; performing mode identification on the power supply loss ratio record data set to obtain power supply loss ratio identification data; training a power supply loss ratio prediction model based on the line length coding data, the line service time coding data and the power supply loss ratio identification data, and associating a mark with the preset line type.

[0010] In a possible implementation, the offshore wind power group power resource scheduling method based on demand forecasting also performs the following processing: extracting the first area user node set according to the first divided demand power supply area; traversing the first area user node set to perform power demand statistics to obtain the first area user power demand set; adding the first area user power demand set to generate the first divided area power demand.

[0011] In a possible implementation, the offshore wind power group power resource scheduling method based on demand forecasting also performs the following processing: obtaining meteorological information of the power supply time zone; based on the meteorological information, traversing the first wind power group bit number set to perform energy supply analysis to obtain the first wind power group energy supply set; when the sum of the first wind power group energy supply set is greater than or equal to the first divided area power demand, sending the first divided area power demand to the generator output distributor for output distribution of the first wind power group bit number set; when the sum of the first wind power group energy supply set is less than the first divided area power demand, selecting the compensation output bit number from the offshore wind power group according to the power supply loss ratio from small to large until the first divided area power demand is met, and obtaining the compensation wind power group bit number; sending the first divided area power demand to the generator output distributor for output distribution of the first wind power group bit number set and the compensation wind power group bit number.

[0012] The present application also provides an offshore wind power group power resource dispatching system based on demand forecasting, including: a demand power supply area acquisition module, used to obtain the demand power supply area; a first power supply constraint area acquisition module, used to perform boundary analysis on the demand power supply area according to the first wind power group of the offshore wind power group, and obtain the first power supply constraint area; an Nth power supply constraint area acquisition module, used to perform boundary analysis on the demand power supply area according to the Nth wind power group of the offshore wind power group, and obtain the Nth power supply constraint area; a demand power supply area segmentation module, used to segment the demand power supply area based on the first power supply constraint area to the Nth power supply constraint area, and obtain the first segmented demand power supply area. The power supply area is traversed until the M-th divided power supply area, wherein the first divided power supply area has a first wind power group number set, until the M-th divided power supply area has an M-th wind power group number set; a power demand analysis module is used to traverse the first divided power supply area until the M-th divided power supply area to perform power demand analysis, and obtain the power demand of the first divided area until the power demand of the M-th divided area; an output allocation module is used to send the power demand of the first divided area to the generator output distributor to perform output allocation on the first wind power group number set, until the power demand of the M-th divided area is sent to the generator output distributor to perform output allocation on the M-th wind power group number set.

[0013] Through the offshore wind power group power resource dispatching method and system based on demand forecast proposed in this application, it is intended to obtain the demand power supply area; perform boundary analysis on the demand power supply area to obtain the first power supply constraint area; until the Nth power supply constraint area is obtained; divide the demand power supply area to obtain the first divided demand power supply area until the Mth divided demand power supply area; obtain the power demand of the first divided area until the Mth divided area; and perform output allocation for the first wind power group bit number set until the Mth wind power group bit number set. This solves the technical problems existing in the prior art that power supply analysis is performed based on the entire demand power supply area, the loss state of energy supply of different wind turbines is not considered, the power output cannot accurately match the regional power supply demand, and the power resource allocation refinement and power supply efficiency are not high, and the technical effect of improving the accuracy of function output allocation and power supply efficiency is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic flow chart of a method for dispatching power resources of an offshore wind power group based on demand forecasting provided in an embodiment of the present application;

[0016] Figure 2 A schematic diagram of the structure of an offshore wind power group power resource scheduling system based on demand forecasting provided in an embodiment of the present application.

[0017] Description of the reference numerals: a module for obtaining a required power supply area 10 , a module for obtaining a first power supply constraint area 20 , a module for obtaining an Nth power supply constraint area 30 , a module for dividing a required power supply area 40 , a power demand analysis module 50 , and an output allocation module 60 . DETAILED DESCRIPTION

[0018] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0019] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0020] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0021] The present application embodiment provides a method for dispatching power resources of an offshore wind power group based on demand forecasting, such as Figure 1 As shown, the method includes:

[0022] Step S100, obtaining a power supply demand area.

[0023] Preferably, the demand power supply area refers to an area with power supply demand within a specific range, which may include residential areas, industrial parks, commercial areas and other places that require electricity supply. Obtaining the demand power supply area includes collecting and analyzing the power consumption data of the area, including historical power consumption records, load curves, peak and valley time periods and other information, using smart grids and power consumption monitoring equipment to dynamically calculate the current power demand of the area, especially the fluctuations in power consumption under different weather conditions and seasonal changes, and determining the power supply priority according to the importance of the area (such as hospitals and critical infrastructure), so as to accurately identify the distribution of power demand.

[0024] Step S200: According to the first number wind turbine of the offshore wind turbine group, boundary analysis is performed on the power supply demand area to obtain a first power supply constraint area.

[0025] Preferably, the number one wind turbine is any one of the offshore wind turbines, which may be closest to the power supply area, have the largest power generation capacity or the most stable operating status. Then, a boundary analysis is performed on the power supply area, that is, the power supply capacity and coverage of the number one wind turbine are analyzed, and the spatial relationship with the power supply area is analyzed, so as to define the boundary of the area where the wind turbine can effectively supply power. Specifically, according to the output capacity of the wind turbine (that is, the upper limit of the power output that the wind turbine can stably provide) and the power supply distance (that is, the distance between the wind farm and the power supply area, the farther the area is, the more likely it is that it will not be included in the power supply range due to the large transmission loss), the matching situation of the power generation capacity of the wind turbine and the regional electricity demand is analyzed, and the first power supply constraint area is obtained, that is, the power supply area covered by the number one wind turbine determined according to the boundary analysis results, which reflects the power supply capacity limitation of the power supply area, that is, the electricity demand in this area must be met within the power range that the number one wind turbine can provide.

[0026] Further step S200 also includes step S210, obtaining the grid-connected line topology of the first-numbered wind power group according to the demand power supply area; step S220, performing power supply loss analysis on the user node set in the demand power supply area according to the grid-connected line topology, and obtaining a power supply loss ratio set, wherein the power supply loss ratio is the ratio of the line power loss to the total line power; step S230, according to the power supply loss ratio set, deleting user nodes whose power supply loss ratio is greater than or equal to the power supply loss ratio threshold from the demand power supply area to obtain the first power supply constraint area.

[0027] Preferably, according to the demand power supply area, the grid-connected line topology of the first wind farm is obtained, that is, the power transmission line structure model connecting the wind farm and the power grid is obtained, including the path, node distribution and connection relationship of the transmission line. Based on the demand power supply area, by analyzing the grid-connected line topology of the first wind farm, the transmission path of power from the wind farm to each user node in the demand area and the characteristics of the transmission line (such as length, resistance, voltage level, etc.) can be clarified. Then, according to the grid-connected line topology, the power supply loss analysis is performed on the user node set in the demand power supply area. Specifically, the characteristics of the grid-connected line and the user node position are analyzed, the power loss when the wind farm outputs power to each user node is calculated, and multiple power loss ratios are calculated to form a power supply loss ratio set, wherein the power loss is usually determined by the line power. The longer the line or the greater the power demand, the more significant the loss. The loss ratio is the ratio of line power loss to total line power. The power supply loss ratio set records the power supply loss ratio of each user node in the demand power supply area. The loss ratio of each user node measures the degree of loss caused by it during the power transmission process. Then, a reasonable loss ratio threshold is set as the standard for judging whether the user node is suitable for power supply by the first wind power group. The user nodes in the power supply loss ratio set whose power supply loss ratio is greater than or equal to the power supply loss ratio threshold are deleted from the demand power supply area, and then the remaining user nodes are grouped into the area where the first wind power group can effectively supply power, that is, the first power supply constraint area is obtained. The power supply loss of each node in this area is within a reasonable range, ensuring that the wind power output utilization rate is maximized while reducing the waste caused by transmission losses.

[0028] Furthermore, step S220 also includes step S221, extracting the first user node according to the user node set; step S222, extracting several energy supply paths from the first-numbered wind power group to the first user node according to the grid-connected line topology; step S223, traversing the several energy supply paths to perform segmented analysis of energy loss to obtain several power supply loss ratios; step S224, extracting the minimum value of the several power supply loss ratios, setting it as the power supply loss ratio of the first user node, and adding it to the power supply loss ratio set.

[0029] Preferably, a first user node is randomly selected from the user node set, wherein the user node set refers to all user nodes in the power supply area required, representing terminals of power consumption (such as residential areas, industrial areas, etc.), and then based on the grid-connected line topology, several energy supply paths from the first wind turbine group to the first user node are extracted, that is, all possible power transmission paths from the first wind turbine group to the first user node through the grid-connected line are obtained, which may include direct paths and indirect paths through intermediate nodes, and each path will have different power losses (affected by factors such as resistance, length, and load); then, several energy supply paths are traversed to perform segmented analysis of energy supply losses, that is, for each energy supply path, the energy loss is segmented and analyzed. The energy path can be analyzed section by section to calculate the losses caused by each part (such as different sections of the power transmission line) during the power transmission process. The loss segments can be divided according to factors such as the length, resistance, and load of the path. The loss of each segment will be calculated separately to obtain several power supply loss ratios. Finally, by comparing these loss ratios, the minimum loss ratio is extracted, that is, the optimal path with the smallest loss is selected and set as the power supply loss ratio of the first user node, indicating that the power transmission efficiency from the wind power group to the user node is the highest. The calculated power supply loss ratio of the first user node (that is, the minimum power supply loss ratio) is added to the power supply loss ratio set, which is convenient for subsequent further optimization of the power supply area and wind power output distribution.

[0030] Further, step S223 also includes step A, extracting a first energy supply path according to the several energy supply paths; step B, the first energy supply path includes a line type sequence, a line length sequence and a line service time sequence; step C, extracting a first line type, a first line length and a first line service time from the line type sequence, the line length sequence and the line service time sequence; step D, activating a first power supply loss ratio prediction model according to the first line type, processing the first line length and the first line service time, and outputting a first section power loss ratio; step E, until activating a Qth power supply loss ratio prediction model according to the Qth line type, processing the Qth line length and the Qth line service time, and outputting a Qth section power loss ratio; step F, accumulating the first section power loss ratio until the Qth section power loss ratio to obtain a first energy supply path loss ratio, and adding it to the several power loss ratios.

[0031] Preferably, a first functional path is randomly extracted from multiple energy supply paths (multiple power transmission lines from wind turbines to user nodes) for detailed loss analysis. Each energy supply path is usually composed of multiple line segments, each line segment has a different line type, length and service time. The first energy supply path includes a line type sequence, a line length sequence and a line service time sequence, wherein the line type sequence indicates the type of each line segment in the path (such as high-voltage line, low-voltage line, underground cable, etc.), and different types of lines will have different loss characteristics during power transmission; the line length sequence indicates the length of each line segment in the path, and longer lines will have more power loss because power will generate greater impedance during long-distance transmission; the line service time sequence indicates the service life or service time of each line segment in the path, and older lines may cause greater power loss due to wear, aging, etc.

[0032] Preferably, the first line type, the first line length and the first line service time are extracted from the line type sequence, the line length sequence and the line service time sequence, and then the first power supply loss ratio prediction model is activated according to the first line type. The power supply loss ratio prediction model is a machine learning model that predicts the loss ratio according to line characteristics (such as type, length and service time). Specifically, activating the corresponding loss ratio prediction model according to the first line type means selecting an appropriate model to predict the loss associated with a specific line type (such as a high-voltage line, a low-voltage line, etc.), and then the model uses the extracted line length and service time as input to predict the loss ratio and output the first power supply loss ratio.

[0033] Preferably, for all line segments in the energy supply path, the same prediction process is repeated in sequence until the corresponding loss ratio prediction model is activated according to the Qth line type, and then the length and service time of the Qth line are input, and the power supply loss ratio of the Qth segment is output, wherein Q is a positive integer representing the total number of line types. Finally, the power supply loss ratios of the first segment to the Qth segment are accumulated, that is, the loss ratios of each segment of the line are added up to obtain the total loss ratio of the entire energy supply path (the first energy supply path loss ratio), and added to the power supply loss ratio set, thereby helping to optimize power scheduling, select the path with the least loss, and improve the overall power supply efficiency.

[0034] Furthermore, step D also includes step D1, configuring a preset line type, collecting line length coding data and line service time coding data, wherein the preset line type includes the first line type to the Qth line type; step D2, collecting a power loss ratio record data set of the preset line type with the line length coding data and the line service time coding data as constraints; step D3, performing mode identification on the power loss ratio record data set to obtain power loss ratio identification data; step D4, training a power loss ratio prediction model based on the line length coding data, the line service time coding data and the power loss ratio identification data, and associating a tag with the preset line type.

[0035] Preferably, configuring a preset line type means setting multiple line types according to different power line characteristics (such as high voltage, low voltage, underground cables, etc.), including the first line type to the Qth line type, representing different line types in the actual power supply network, which respectively affect the degree of loss in power transmission, and collecting line length coding data and line service time coding data. The line length information is encoded in a digital data form. The longer the line, the greater the loss. The coded data may be expressed in kilometers or other units. The service life of the line (i.e., the length of use time) is also encoded as digital data. Lines with longer service time may cause higher losses due to aging, loss, etc.; with the line length coding data and the line service time coding data as constraints, a power supply loss ratio record data set of the preset line type is collected, that is, a set of loss record data sets are collected for each line type to record the loss ratios of different line types.

[0036] Preferably, the mode identification refers to finding the mode of the loss ratio under the conditions of specific line type, length, service time, etc., that is, by statistically analyzing the power supply loss ratio record data set, the most typical loss ratio (that is, the loss ratio with the highest frequency) is identified as the power supply loss ratio identification data, that is, an identification is given to each line type, length, and service time combination to mark its most common loss ratio, which helps to associate the loss ratio with the characteristics of the line; then a prediction model is built based on a machine learning model (such as regression analysis, decision tree, neural network, etc.), using line length encoding data, line service time encoding data and power supply loss ratio identification data, so that the model learns how to predict the power supply loss ratio according to the characteristics of the line ( The power loss ratio prediction model is trained to obtain the power loss ratio prediction model, the input data is the line length coding data, the line service time coding data and the power loss ratio identification data, and the output result is the power loss ratio prediction value of each line; after the training is completed, the power loss ratio prediction model is associated with the preset line type, including according to the known line type (such as high voltage, low voltage, etc.), the model will be marked as being able to predict the loss ratio of the corresponding type of line, and the trained loss ratio prediction model is bound to a specific line type label, so that for a certain type of line, the model can predict the loss ratio of this type of line according to the input line characteristics (length, service time).

[0037] Step S300, until the boundary analysis of the power supply demand area is performed according to the Nth wind power group of the offshore wind power group to obtain the Nth power supply constraint area.

[0038] Preferably, the demand power supply area is analyzed starting from the first wind turbine group to obtain the first power supply constraint area, and the boundary analysis of the demand power supply area is repeated until the boundary analysis of the demand power supply area is performed according to the Nth wind turbine group of the offshore wind turbine group to obtain the Nth power supply constraint area, wherein N is a positive integer representing the total number of wind turbine group numbers. Specifically, by introducing more wind turbines, all user nodes in the demand power supply area are gradually covered, thereby minimizing power supply losses and improving power transmission efficiency while meeting regional power demand, thereby ensuring optimality and balance in power resource allocation.

[0039] Step S400, based on the first power supply constraint area to the Nth power supply constraint area, the demand power supply area is divided to obtain the first divided demand power supply area to the Mth divided demand power supply area, wherein the first divided demand power supply area has a first wind power group position number set, until the Mth divided demand power supply area has an Mth wind power group position number set.

[0040] Preferably, the segmentation of the demand power supply area refers to dividing the original demand power supply area into multiple smaller sub-areas according to the first power supply constraint area to the Nth power supply constraint area, so as to more accurately allocate the power supply capacity of the wind power group. By segmenting the demand power supply area, the matching degree between the power demand and the power supply capacity of each sub-area can be made higher, ensuring that each sub-area obtains the most suitable wind power supply, thereby obtaining the first segmented demand power supply area to the Mth segmented demand power supply area, wherein M is a positive integer representing the total number of segmented demand power supply areas, the first segmented demand power supply area has the first wind power group position number set, and the Mth segmented demand power supply area has The M-th wind power group bit number set, the wind power group bit number set refers to the set of all wind power groups that can provide electricity to each segmented demand power supply area. The wind power group bit number set of the first segmented demand power supply area is the bit number set of all wind power groups that can provide electricity in the first segmented area. The first segmented area may be powered by the first-numbered wind power group or the first-numbered to several wind power groups. The wind power group bit number set of the M-th segmented demand power supply area is the bit number set of all wind power groups that can provide electricity in the M-th segmented area. The wind power group bit number set in each segmented area depends on the power supply demand of the area and the capacity of the wind power group. By refining the demand power supply area, the power demand of different areas can be matched more accurately, avoiding resource waste or over-reliance on a certain wind power group due to the wind power group covering too large an area, thereby optimizing power transmission efficiency, reducing power supply losses, and improving the utilization rate of wind power resources.

[0041] Step S500, traversing the first divided demand power supply area until the Mth divided demand power supply area to perform power demand analysis, and obtaining the power demand of the first divided area until the Mth divided area.

[0042] Preferably, a detailed power demand analysis is performed on the multiple segmented demand power supply areas to obtain the specific power demand of each area, so as to accurately calculate the power demand in each segmented area. Specifically, the first segmented demand power supply area is traversed until the Mth segmented demand power supply area, that is, through a number of sub-areas refined from the entire demand power supply area, the power demand of each sub-area and the power supply capacity of the wind power group will be analyzed and evaluated respectively. The power demand analysis refers to a detailed evaluation of the power demand in each segmented area, specifically, including the evaluation of the demand, that is, according to the power demand of residents, industry, commerce, etc. in each area, the power demand of the area in the specific area is calculated. The power demand in a certain time period, load curve analysis, through load forecasting, historical data or real-time monitoring to analyze the power demand fluctuations, peak demand and valley demand in each area in different time periods, distinguish between peak and valley periods of power demand, help give priority to power demand in peak periods during scheduling, and then obtain the power demand of the first segmented area to the Mth segmented area. The power demand refers to the total amount of electricity required in each area in a certain time period. By traversing all segmented areas, the power demand of each segmented area will be calculated to ensure that the power generation capacity of the wind power group matches the power demand of each area, improve the power supply efficiency and the reasonable allocation of power resources.

[0043] Furthermore, step S500 also includes step S510, extracting the first area user node set according to the first segmented demand power supply area; step S520, traversing the first area user node set to perform power demand statistics to obtain the first area user power demand set; step S530, adding the first area user power demand set to generate the first segmented area power demand.

[0044] Preferably, all user nodes located in the first divided area, that is, the first area user node set, are identified, representing the source of electricity demand in the area. Each user node may have different electricity demand, which can be distinguished according to its nature (for example, residential area, commercial area, industrial area, etc.). Then, electricity demand statistics are performed on the first area user node set, and the electricity consumption of each user node is recorded and analyzed, that is, electricity consumption data is obtained from the electricity consumption history data and real-time monitoring data of each user node to obtain the first area user electricity demand set, that is, the electricity demand of all user nodes in the first divided demand power supply area. Finally, all electricity demand values ​​in the first area user electricity demand set are added up to obtain the total electricity demand of all users in the area, which represents the total electricity required for the first divided demand power supply area within a specific time.

[0045] Step S600, sending the power demand of the first segmented area to the generator output distributor to distribute output to the first wind power group bit number set, until sending the power demand of the Mth segmented area to the generator output distributor to distribute output to the Mth wind power group bit number set.

[0046] Preferably, the power demand of each segmented area is matched with the corresponding wind power group through the generator output distributor, and power distribution is performed to ensure that the power demand of each area is met and optimize the output distribution of the wind power group. Specifically, the power demand of the first segmented area is sent to the generator output distributor, that is, the power demand information of the first segmented area is transmitted to the generator output distributor of the power dispatch, wherein the generator output distributor is a component for distributing the power generation of the wind power group according to the power demand. The generator output distributor is responsible for controlling and adjusting the output of the wind power group so that it meets the power demand of different areas, and dynamically distributes it according to the demand and the power generation capacity of the wind power group. Specifically, the output distribution of the first wind power group bit number set is performed, that is, the generator output distributor reasonably distributes the total demand among these wind power groups according to the power generation capacity and regional demand of these wind power groups, until the power demand of the Mth segmented area is sent to the generator output distributor for output distribution, that is, the output of each wind power group is dynamically adjusted according to the power demand of the Mth area and the power generation capacity of these wind power groups. Through the generator output distributor, the power demand of multiple divided areas is allocated to the corresponding wind power groups to ensure that the power demand of each area is met, optimize the use of wind power resources, and ensure stable and efficient power supply.

[0047] Further, step S600 also includes step S610, obtaining meteorological information of the power supply time zone; step S620, traversing the first wind power group position number set to perform energy supply analysis according to the meteorological information, and obtaining the first wind power group energy supply set; step S630, when the sum of the first wind power group energy supply set is greater than or equal to the power demand of the first divided area, sending the first divided area power demand to the generator output distributor for output distribution of the first wind power group position number set; step S640, when the sum of the first wind power group energy supply set is less than the first divided area power demand, selecting the compensation output position number from the offshore wind power group according to the power supply loss ratio from small to large until the power demand of the first divided area is met, and obtaining the compensation wind power group position number; step S650, sending the first divided area power demand to the generator output distributor for output distribution of the first wind power group position number set and the compensation wind power group position number.

[0048] Preferably, meteorological information of the power supply time zone is obtained, that is, meteorological data that affects the power generation capacity of the wind farm group within a specific time period (for example, a certain time period of the day, a certain season or under special weather conditions), such as wind speed, wind direction, temperature and air pressure, are obtained through meteorological stations, satellite remote sensing, etc. According to the meteorological information, the first wind farm group position number set is traversed to perform energy supply analysis, that is, using the obtained meteorological information, an energy supply analysis is performed on each wind farm group to analyze the power generation capacity of each wind farm group under the current meteorological conditions. For example, in a certain period of time, a certain wind farm group may generate more electricity due to a higher wind speed, while another wind farm group may generate less electricity due to a lower wind speed or an undesirable wind direction. Then, the first wind farm group energy supply set is obtained, which represents the actual power generation set of all wind farms belonging to the first wind farm group position number set under the current meteorological conditions.

[0049] Preferably, all the power generation in the energy supply set of the first wind power group is added up. When the sum of the energy supply set of the first wind power group is greater than or equal to the power demand of the first divided area, it means that the power demand of the area can be fully supplied by the first wind power group, and the power demand of the first divided area is sent to the generator output distributor, and the distributor is instructed to output the corresponding power from the wind power groups in the first wind power group number set; when the sum of the energy supply set of the first wind power group is less than the power demand of the first divided area, it means that the total power generation capacity of the first wind power group is insufficient to meet the power demand of the area, and the wind power groups are sorted in descending order according to the power supply loss ratio. Select those wind turbines with small loss ratios and capable of efficiently supplementing electricity, select wind turbines with compensation output numbers from the offshore wind turbines for supplementation, and then obtain the compensation wind turbine number. Finally, send the required electricity amount of the first divided area to the generator output distributor to distribute the output of the first wind turbine number set and the compensation wind turbine number. That is, all wind turbines that need to be supplemented (including the first wind turbine and the compensation wind turbine) will be distributed electricity through the generator output distributor. The distributor distributes electricity to these wind turbines according to the power supply capacity and demand of each wind turbine, and ensures that the final output electricity can meet the power demand of the first divided area, so as to ensure stable and efficient power supply.

[0050] In the above, refer to Figure 1 The power resource dispatching method of an offshore wind power group based on demand forecasting according to an embodiment of the present invention is described in detail. Figure 2 An offshore wind power group power resource dispatching system based on demand forecasting according to an embodiment of the present invention is described.

[0051] The offshore wind turbine power resource dispatching system based on demand forecasting according to the embodiment of the present invention is used to solve the technical problems that the power supply analysis based on the entire demand power supply area is performed in the prior art without considering the loss state of energy supply of different wind turbines, and the power output cannot accurately match the regional power supply demand, resulting in low refinement of power resource allocation and low power supply efficiency, thereby achieving the technical effect of improving the accuracy of function output allocation and power supply efficiency. Figure 2 As shown, the offshore wind power group power resource scheduling system based on demand forecast includes: a demand power supply area acquisition module 10, a first power supply constraint area acquisition module 20, an Nth power supply constraint area acquisition module 30, a demand power supply area segmentation module 40, a power demand analysis module 50, and an output allocation module 60.

[0052] The power supply demand area acquisition module 10 is used to obtain the power supply demand area; the first power supply constraint area acquisition module 20 is used to perform boundary analysis on the power supply demand area according to the first wind power group of the offshore wind power group to obtain the first power supply constraint area; the Nth power supply constraint area acquisition module 30 is used to perform boundary analysis on the power supply demand area according to the Nth wind power group of the offshore wind power group to obtain the Nth power supply constraint area; the power supply demand area segmentation module 40 is used to segment the power supply demand area based on the first power supply constraint area to the Nth power supply constraint area to obtain the first segmented power supply demand area to the Mth segmented power supply demand area domain, wherein the first segmented demand power supply area has a first wind power group number set until the Mth segmented demand power supply area has an Mth wind power group number set; a power demand analysis module 50, used to traverse the first segmented demand power supply area until the Mth segmented demand power supply area to perform power demand analysis, and obtain the power demand of the first segmented area until the power demand of the Mth segmented area; an output allocation module 60, used to send the power demand of the first segmented area to the generator output distributor to perform output allocation on the first wind power group number set, until the power demand of the Mth segmented area is sent to the generator output distributor to perform output allocation on the Mth wind power group number set.

[0053] The specific configuration of the first power supply constraint area acquisition module 20 will be described in detail below. The first power supply constraint area acquisition module 20 further includes: obtaining the grid-connected line topology of the first-numbered wind power group according to the demand power supply area; performing power loss analysis on the user node set in the demand power supply area according to the grid-connected line topology to obtain a power loss ratio set; according to the power loss ratio set, deleting the user nodes whose power loss ratio is greater than or equal to the power loss ratio threshold from the demand power supply area to obtain the first power supply constraint area.

[0054] The specific configuration of the first power supply constraint area acquisition module 20 will be described in detail below. The first power supply constraint area acquisition module 20 further includes: extracting the first user node according to the user node set; extracting several energy supply paths from the first bit wind power group to the first user node according to the grid-connected line topology; traversing the several energy supply paths to perform segmented analysis of energy loss to obtain several power supply loss ratios; extracting the minimum value of the several power supply loss ratios, setting it as the first user node power supply loss ratio, and adding it to the power supply loss ratio set.

[0055] The specific configuration of the first power supply constraint area acquisition module 20 will be described in detail below. The first power supply constraint area acquisition module 20 further includes: extracting the first power supply path according to the several power supply paths; the first power supply path includes a line type sequence, a line length sequence and a line service time sequence; extracting the first line type, the first line length and the first line service time from the line type sequence, the line length sequence and the line service time sequence; activating the first power supply loss ratio prediction model according to the first line type, processing the first line length and the first line service time, and outputting the first section power supply loss ratio; until activating the Qth power supply loss ratio prediction model according to the Qth line type, processing the Qth line length and the Qth line service time, and outputting the Qth section power supply loss ratio; accumulating the first section power supply loss ratio until the Qth section power supply loss ratio to obtain the first power supply path loss ratio, and adding it to the several power supply loss ratios.

[0056] The specific configuration of the first power supply constraint area acquisition module 20 will be described in detail below. The first power supply constraint area acquisition module 20 further includes: configuring a preset line type, collecting line length coding data and line service time coding data, wherein the preset line type includes the first line type to the Qth line type; collecting a power loss ratio record data set of the preset line type with the line length coding data and the line service time coding data as constraints; performing mode identification on the power loss ratio record data set to obtain power loss ratio identification data; training a power loss ratio prediction model based on the line length coding data, the line service time coding data and the power loss ratio identification data, and associating a tag with the preset line type.

[0057] The specific configuration of the power demand analysis module 50 will be described in detail below. The power demand analysis module 50 further includes: extracting a first area user node set according to the first segmented demand power supply area; traversing the first area user node set to perform power demand statistics to obtain a first area user power demand set; and adding the first area user power demand set to generate the first segmented area power demand.

[0058] The specific configuration of the output allocation module 60 will be described in detail below. The output allocation module 60 further includes: obtaining meteorological information of the power supply time zone; according to the meteorological information, traversing the first wind power group bit number set to perform energy supply analysis and obtain the first wind power group energy supply set; when the sum of the first wind power group energy supply set is greater than or equal to the first segmented area power demand, the first segmented area power demand is sent to the generator output distributor to perform output distribution on the first wind power group bit number set; when the sum of the first wind power group energy supply set is less than the first segmented area power demand, the compensation output bit number is selected from the offshore wind power group according to the power supply loss ratio from small to large until the first segmented area power demand is met, and the compensation wind power group bit number is obtained; the first segmented area power demand is sent to the generator output distributor to perform output distribution on the first wind power group bit number set and the compensation wind power group bit number.

[0059] The offshore wind power group power resource scheduling system based on demand forecasting provided in an embodiment of the present invention can execute the offshore wind power group power resource scheduling method based on demand forecasting provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0060] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0061] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for dispatching power resources of offshore wind power groups based on demand forecasting, characterized in that: Applied to an offshore wind power group power resource dispatching system based on demand forecasting, the system is embedded in a generator output distributor, and the method includes: Obtain the power supply demand area; According to the first wind turbine group of the offshore wind turbine group, a boundary analysis is performed on the power supply demand area to obtain a first power supply constraint area; Until a boundary analysis is performed on the power supply demand area according to the Nth wind power group of the offshore wind power group to obtain the Nth power supply constraint area; Based on the first power supply constraint area to the Nth power supply constraint area, the demand power supply area is divided to obtain the first divided demand power supply area to the Mth divided demand power supply area, wherein the first divided demand power supply area has a first wind power group bit number set, until the Mth divided demand power supply area has an Mth wind power group bit number set; Traversing the first segmented power supply area until the Mth segmented power supply area to perform power demand analysis, and obtaining the power demand of the first segmented area until the Mth segmented area; The power requirement of the first segmented area is sent to the generator output distributor for output distribution to the first wind power group bit number set, until the power requirement of the Mth segmented area is sent to the generator output distributor for output distribution to the Mth wind power group bit number set.

2. The method for dispatching power resources of offshore wind power groups based on demand forecasting according to claim 1, characterized in that: According to the first wind turbine group of the offshore wind turbine group, a boundary analysis is performed on the power supply demand area to obtain a first power supply constraint area, including: According to the power supply area required, a grid-connected line topology of the first-numbered wind power group is obtained; According to the grid-connected line topology, a power supply loss analysis is performed on the user node set in the power supply demand area to obtain a power supply loss ratio set, wherein the power supply loss ratio is a ratio of line power loss to total line power; According to the power loss ratio set, user nodes whose power loss ratio is greater than or equal to a power loss ratio threshold are deleted from the power supply demand area to obtain the first power supply constraint area.

3. The method for dispatching power resources of offshore wind power groups based on demand forecasting according to claim 2, characterized in that: According to the grid-connected line topology, power loss analysis is performed on the user node set in the power supply demand area to obtain a power loss ratio set, including: Extracting a first user node according to the user node set; According to the grid-connected line topology, extracting a plurality of energy supply paths from the first-numbered wind power group to the first user node; Traversing the plurality of energy supply paths to perform segmented analysis of energy supply loss, and obtaining a plurality of power supply loss ratios; The minimum value of the plurality of power loss ratios is extracted, set as the first user node power loss ratio, and added into the power loss ratio set.

4. The method for dispatching power resources of offshore wind power groups based on demand forecasting according to claim 3, characterized in that: Traversing the plurality of energy supply paths to perform segmented analysis of energy supply loss, and obtaining a plurality of power supply loss ratios, including: Extracting a first energy supply path according to the plurality of energy supply paths; The first energy supply path includes a line type sequence, a line length sequence, and a line service time sequence; Extracting a first line type, a first line length and a first line service duration from the line type sequence, the line length sequence and the line service duration sequence; According to the first line type, a first power supply loss ratio prediction model is activated, the first line length and the first line service time are processed, and a first-segment power supply loss ratio is output; Until according to the Qth line type, the Qth power supply loss ratio prediction model is activated, the Qth line length and the Qth line service time are processed, and the Qth section power supply loss ratio is output; The first-segment power supply loss ratios to the Q-th-segment power supply loss ratios are accumulated to obtain a first energy supply path loss ratio, which is added to the plurality of power supply loss ratios.

5. The method for dispatching electric power resources of offshore wind power groups based on demand forecasting according to claim 4, characterized in that: Any one of the model construction steps of the first power supply loss ratio prediction model to the Qth power supply loss ratio prediction model comprises: Configure a preset line type, collect line length coding data and line service time coding data, wherein the preset line type includes the first line type to the Qth line type; Taking the line length coding data and the line service time coding data as constraints, collecting a power supply loss ratio record data set of the preset line type; Performing mode identification on the power loss ratio record data set to obtain power loss ratio identification data; A power supply loss ratio prediction model is trained based on the line length coding data, the line service time coding data and the power supply loss ratio identification data, and is associated with the preset line type.

6. The method for dispatching power resources of offshore wind power groups based on demand forecasting according to claim 1, characterized in that: Traversing the first segmented power supply area until the Mth segmented power supply area to perform power demand analysis, and obtaining the power demand of the first segmented area until the Mth segmented area, including: Extracting a first area user node set according to the first segmentation demand power supply area; Traversing the user node set in the first area to perform electricity demand statistics, and obtaining a set of electricity demand of users in the first area; The power demand set of users in the first area is added together to generate the power demand of the first divided area.

7. The method for dispatching power resources of offshore wind power groups based on demand forecasting according to claim 1, characterized in that: The power requirement of the first segmented area is sent to the generator output distributor to perform output distribution on the first wind power group bit number set, including: Obtain weather information for the power supply time zone; According to the meteorological information, traverse the first wind power group position number set to perform energy supply analysis to obtain the first wind power group energy supply amount set; When the sum of the energy supply set of the first wind power group is greater than or equal to the power demand of the first segmented area, the power demand of the first segmented area is sent to the generator output distributor to perform output distribution on the first wind power group bit number set; When the sum of the energy supply of the first wind power group is less than the power demand of the first segmented area, the compensation output bit number is selected from the offshore wind power group according to the power supply loss ratio from small to large until the power demand of the first segmented area is met, and the compensation wind power group bit number is obtained; The power demand of the first divided area is sent to the generator output distributor to perform output distribution on the first wind power group bit number set and the compensation wind power group bit number.

8. The offshore wind power group power resource dispatching system based on demand forecasting is characterized by: The system is used to implement the offshore wind power group power resource scheduling method based on demand forecasting according to any one of claims 1 to 7, and the system includes: A module for obtaining a power supply area required, used for obtaining a power supply area required; A first power supply constraint area obtaining module is used to perform boundary analysis on the power supply demand area according to the first number wind farm group of the offshore wind farm group to obtain the first power supply constraint area; The Nth power supply constraint area obtaining module is used to perform boundary analysis on the power supply demand area according to the Nth wind power group of the offshore wind power group to obtain the Nth power supply constraint area; A demand power supply area segmentation module is used to segment the demand power supply area based on the first power supply constraint area to the Nth power supply constraint area, and obtain the first segmented demand power supply area to the Mth segmented demand power supply area, wherein the first segmented demand power supply area has a first wind power group number set, until the Mth segmented demand power supply area has an Mth wind power group number set; A power demand analysis module, used for traversing the first segmented power supply area to the Mth segmented power supply area to perform power demand analysis, and obtain the power demand of the first segmented area to the Mth segmented area; The output allocation module is used to send the power demand of the first segmented area to the generator output distributor to perform output allocation on the first wind power group bit number set, until the power demand of the Mth segmented area is sent to the generator output distributor to perform output allocation on the Mth wind power group bit number set.

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