Offshore wind farm energy storage configuration method and device

Abstract

This invention discloses a method and apparatus for configuring energy storage in offshore wind farms. The method includes: acquiring power data of the offshore wind farm to be configured; calculating a first power capacity based on the power data and a distribution model of the offshore wind farm's output power; calculating a second power capacity based on the power data and a distribution model of the peak-shaving depth change rate before and after wind power grid connection; calculating the power capacity of an energy storage system based on the first and second power capacities; acquiring and calculating a configuration scheme for the offshore wind farm to be configured based on the energy storage system duration and the energy storage system's power capacity; and configuring energy storage in the offshore wind farm to be configured according to the configuration scheme. Using this embodiment of the invention can improve the accuracy of energy storage configuration in offshore wind farms.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and particularly relates to a method and device for configuring energy storage of offshore wind farms. BACKGROUND

[0002] At present, offshore wind power is booming, and the total installed capacity of global offshore wind power has developed from 7.05 million kilowatts in 2013 to 50.5 million kilowatts in 2021. Offshore wind farms output power to load centers through power transmission channels. The cost of power transmission cables is high. On the one hand, offshore wind power grid operation will cause wind curtailment due to power transmission congestion during periods with high overall output. On the other hand, it will bring severe challenges to power grid peak shaving. Insufficient power grid peak shaving capacity leads to wind curtailment. Configuring energy storage systems for offshore wind farms can effectively improve the power grid's ability to absorb offshore wind power.

[0003] Energy storage devices play a role in peak shaving in the power grid. Source-side energy storage can smooth the output curve of offshore wind farms and alleviate the impact of offshore wind power grid operation on reverse peak shaving. When offshore wind power output is too high, the energy storage device is charged. When offshore wind power output is insufficient, the energy storage device is discharged. The existing technology does not comprehensively consider the impact of power transmission congestion and reverse peak shaving characteristics when offshore wind power is grid-connected during the energy storage configuration process. Therefore, the existing energy storage configuration method has the problem of low precision. SUMMARY

[0004] The embodiments of the present application provide a method and device for configuring energy storage of offshore wind farms, which improves the energy storage configuration precision of offshore wind farms.

[0005] The first aspect of the embodiments of the present application provides a method for configuring energy storage of offshore wind farms, comprising:

[0006] acquiring power data of a to-be-configured offshore wind farm;

[0007] calculating a first power capacity according to the power data and a distribution model of offshore wind farm output power;

[0008] calculating a second power capacity according to the power data and a peak shaving depth change rate distribution model before and after wind power grid connection;

[0009] calculating an energy storage system power capacity according to the first power capacity and the second power capacity;

[0010] After acquiring and calculating a configuration scheme of the to-be-configured offshore wind farm according to the energy storage system time length and the energy storage system power capacity, the to-be-configured offshore wind farm is configured according to the configuration scheme.

[0011] In a possible implementation manner of the first aspect, the first power capacity is calculated according to the power data and a distribution model of the output power of the offshore wind farm, and specifically:

[0012] The power data comprises historical output data and channel capacity, wherein the channel capacity is a power capacity of a grid-connected power transmission channel to be configured for the offshore wind farm;

[0013] The first cumulative probability value is calculated according to the distribution model of the output power of the offshore wind farm and the channel capacity;

[0014] The first wind power output is obtained from the historical output data according to the first confidence degree after the first confidence degree is set according to the first cumulative probability value;

[0015] The first power capacity is calculated according to the first wind power output and the channel capacity.

[0016] In a possible implementation manner of the first aspect, the second power capacity is calculated according to the power data and a distribution model of a change rate of a peak regulation depth before and after the wind power is connected to the grid, and specifically:

[0017] The power data further comprises rated power generation and load data, wherein the load data is corresponding load data of the power system to which the offshore wind farm is to be connected;

[0018] The daily load peak regulation depth and the net load peak regulation depth are calculated according to the load data and the historical output data;

[0019] The change rate of the peak regulation depth of the wind power connected to the grid is calculated according to the daily load peak regulation depth and the net load peak regulation depth;

[0020] The second cumulative probability value is calculated according to the distribution model of the change rate of the peak regulation depth before and after the wind power is connected to the grid and the change rate of the peak regulation depth of the wind power connected to the grid;

[0021] The second confidence degree is set according to the second cumulative probability value, and a final change rate of the peak regulation depth is obtained from the change rate of the peak regulation depth of the wind power connected to the grid according to the second confidence degree;

[0022] The second power capacity is calculated according to the final change rate of the peak regulation depth and the rated power generation.

[0023] In a possible implementation manner of the first aspect, the time length of the energy storage system is obtained, and specifically:

[0024] The over-channel power is calculated according to the historical output data and the channel capacity;

[0025] The distribution model of the daily duration of the over-channel power is established according to the over-channel power;

[0026] According to the distribution model of the overpass power daily duration, a third confidence level is set, and the energy storage system duration is calculated according to the third confidence level.

[0027] A second aspect of the embodiments of the present application provides a sea wind farm energy storage configuration device, comprising an acquisition module, a first calculation module, a second calculation module, a third calculation module and a configuration module.

[0028] The acquisition module is configured to acquire power data of a to-be-configured sea wind farm.

[0029] The first calculation module is configured to calculate a first power capacity according to the power data and a distribution model of sea wind farm output power.

[0030] The second calculation module is configured to calculate a second power capacity according to the power data and a distribution model of the change rate of the peak shaving depth before and after the wind power is connected to the grid.

[0031] The third calculation module is configured to calculate an energy storage system power capacity according to the first power capacity and the second power capacity.

[0032] The configuration module is configured to acquire and calculate a configuration scheme of the to-be-configured sea wind farm according to the energy storage system duration and the energy storage system power capacity, and then perform energy storage configuration on the to-be-configured sea wind farm according to the configuration scheme.

[0033] In a possible implementation manner of the second aspect, the first power capacity is calculated according to the power data and the distribution model of the sea wind farm output power, specifically as follows.

[0034] The power data includes historical output data and channel capacity, and the channel capacity is the power capacity of a power transmission channel of the to-be-configured sea wind farm connected to the grid.

[0035] A first cumulative probability value is calculated according to the distribution model of the sea wind farm output power and the channel capacity.

[0036] After a first confidence level is set according to the first cumulative probability value, a first wind power output is acquired from the historical output data according to the first confidence level.

[0037] The first power capacity is calculated according to the first wind power output and the channel capacity.

[0038] In a possible implementation manner of the second aspect, the second power capacity is calculated according to the power data and the distribution model of the change rate of the peak shaving depth before and after the wind power is connected to the grid, specifically as follows.

[0039] The power data further includes rated power generation and load data, and the load data is corresponding load data of the to-be-configured sea wind farm connected to the power system.

[0040] According to the load data and the historical output data, a daily load peak shaving depth and a net load peak shaving depth are calculated;

[0041] According to the daily load peak shaving depth and the net load peak shaving depth, a peak shaving depth change rate of the wind power grid connection is calculated;

[0042] According to the peak shaving depth change rate distribution model before and after the wind power grid connection and the peak shaving depth change rate of the wind power grid connection, a second cumulative probability value is calculated;

[0043] According to the second cumulative probability value, a second confidence degree is set, and a final peak shaving depth change rate is obtained from the peak shaving depth change rate of the wind power grid connection according to the second confidence degree;

[0044] According to the final peak shaving depth change rate and the rated power generation power, a second power capacity is calculated.

[0045] In a possible implementation manner of the second aspect, the energy storage system time length is obtained, and specifically:

[0046] According to the historical output data and the channel capacity, an over-channel power is calculated;

[0047] According to the over-channel power, a distribution model of over-channel power daily duration is established;

[0048] According to the distribution model of over-channel power daily duration, a third confidence degree is set, and the energy storage system time length is calculated according to the third confidence degree.

[0049] The third aspect of the embodiment of the application provides a mobile terminal, including a processor and a memory, the memory stores computer readable program code, and the processor realizes the steps of the offshore wind farm energy storage configuration method described above when executing the computer readable program code.

[0050] The fourth aspect of the embodiment of the application provides a storage medium, the storage medium stores computer readable program code, and the steps of the offshore wind farm energy storage configuration method described above are realized when the computer readable program code is executed.

[0051] Compared with the prior art, the offshore wind farm energy storage configuration method and device provided by the embodiment of the application, the method comprises the following steps: obtaining power data of a to-be-configured offshore wind farm; according to the power data and a distribution model of the output power of the offshore wind farm, a first power capacity is calculated; according to the power data and a peak shaving depth change rate distribution model before and after the wind power grid connection, a second power capacity is calculated; according to the first power capacity and the second power capacity, an energy storage system power capacity is calculated; after obtaining and calculating the configuration scheme of the to-be-configured offshore wind farm according to the energy storage system time length and the energy storage system power capacity, the to-be-configured offshore wind farm is configured according to the configuration scheme.

[0052] The beneficial effects are that: the embodiment of the present application obtains the first power capacity and the second power capacity by the distribution model of the offshore wind farm output power and the distribution model of the peak shaving depth change rate before and after the wind power is connected to the grid, in combination with the power data; the energy storage system power capacity calculated according to the first power capacity and the second power capacity can relieve the anti-peak shaving pressure brought by the offshore wind power connected to the grid; after the configuration scheme of the offshore wind farm to be configured is calculated according to the energy storage system time length and the energy storage system power capacity, the energy storage configuration is performed on the offshore wind farm to be configured according to the configuration scheme, which can not only relieve the anti-peak shaving influence brought by the offshore wind power connected to the grid, but also break through the constraint brought by the power transmission channel, improve the offshore wind power consumption and utilization, and improve the energy storage configuration precision of the offshore wind farm.

[0053] Further, the embodiment of the present application establishes a probability distribution model based on the actual data of the offshore wind power output and the power grid load demand in a long time scale (months or a year), proposes a configuration method of the energy storage power capacity and the energy capacity meeting a certain confidence level, unifies the selection process of the energy storage power capacity and the energy capacity, and overcomes the problems of low applicability or poor economy caused by the fact that the energy storage configuration in the prior art does not consider the mutual relationship between the energy storage power and the capacity; and in the process of calculating the configuration scheme, the energy storage capacity configuration results under different confidence conditions are obtained, the higher the confidence is, the higher the accuracy is, thereby ensuring the energy storage configuration precision of the offshore wind farm.

[0054] Finally, in the process of the energy storage configuration of the offshore wind farm, the embodiment of the present application considers the output power level of the offshore wind farm, the duration of the power transmission channel and the peak shaving depth change rate after being connected to the grid, quickly determines the parameters of the energy storage configuration, is more in line with the real situation of the offshore wind farm configuration energy storage, can effectively save the time cost and reduce the technical difficulty, and further promotes the utilization and development of the offshore wind power. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 is a flowchart of a kind of offshore wind farm energy storage configuration method provided by the embodiment of the present application;

[0056] Figure 2 is a specific configuration flowchart provided by the embodiment of the present application;

[0057] Figure 3 is a structure schematic view of a kind of offshore wind farm energy storage configuration device provided by the embodiment of the present application;

[0058] Figure 4 is the schematic view of specific configuration structure provided by the embodiment of the present application. DETAILED DESCRIPTION

[0059] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of the present application.

[0060] With reference to Figure 1 FIG. 1 is a flowchart of a method for configuring energy storage of an offshore wind farm according to an embodiment of the present application, which comprises S101-S105.

[0061] S101: Obtain power data of a to-be-configured offshore wind farm.

[0062] The power data comprises historical output data, channel capacity, rated power generation power and load data. The channel capacity is the power capacity of a power grid access channel of the to-be-configured offshore wind farm, denoted as P L . The load data is corresponding load data of the to-be-configured offshore wind farm connected to a power system, denoted as D. The historical output data is annual historical output data of 365 days in total, i.e. 8760 hours, denoted as P R . Further, the to-be-configured offshore wind farm is an offshore wind farm.

[0063] S102: Calculate a first power capacity according to the power data and a distribution model of offshore wind farm output power.

[0064] In the embodiment, the first power capacity is calculated according to the power data and the distribution model of offshore wind farm output power, specifically as follows:

[0065] The power data comprises historical output data and channel capacity. The channel capacity is the power capacity of a power grid access channel of the to-be-configured offshore wind farm.

[0066] According to the distribution model of offshore wind farm output power and the channel capacity, a first cumulative probability value is calculated.

[0067] According to the first cumulative probability value, a first confidence level is set, and then a first wind power output is obtained from the historical output data according to the first confidence level.

[0068] According to the first wind power output and the channel capacity, the first power capacity is calculated.

[0069] In the embodiment, the first wind power output is obtained from the distribution model of the historical output data.

[0070] Further, since the offshore wind power output has large fluctuation and high uncertainty, the historical output data P is statistically analyzed for 8760 hours in a year, and a Weibull distribution model f1(x) of the offshore wind farm output power is established, which can be expressed by the following formula:

[0071]

[0072] wherein a is a location parameter, c is a scale parameter, and k is a shape parameter.

[0073] A first cumulative probability distribution function F1 is obtained according to the distribution model of the offshore wind farm output power, which can be expressed by the following formula:

[0074]

[0075] Finding the channel capacity P L The corresponding first cumulative probability value F(P L ), the first standard deviation a w (a w value is 0.05), then the corresponding first confidence F1(e) can be expressed by the following formula:

[0076] F1(e) = 1 - a w ;

[0077] The first wind power output P E corresponding to the first confidence F1(e) is found from the historical output data, then according to the first wind power output P E and the channel capacity P L , the first power capacity P m1 is calculated, which can be expressed by the following formula:

[0078] P m1 = P E -P L .

[0079] S103: The second power capacity is calculated according to the power data and the peak regulation depth change rate distribution model before and after the wind power is connected to the grid.

[0080] In this embodiment, the second power capacity is calculated according to the power data and the peak regulation depth change rate distribution model before and after the wind power is connected to the grid, specifically:

[0081] The power data further includes: rated power generation power and load data; wherein the load data is corresponding load data of the offshore wind farm to be configured to access the power system;

[0082] According to the load data and the historical output data, the daily load peak regulation depth and the net load peak regulation depth are calculated;

[0083] According to the daily load peak shaving depth and the net load peak shaving depth, the peak shaving depth change rate of the wind power grid connection is calculated;

[0084] According to the peak shaving depth change rate distribution model before and after the wind power grid connection and the peak shaving depth change rate of the wind power grid connection, the second cumulative probability value is calculated;

[0085] According to the second cumulative probability value, the second confidence is set, and the final peak shaving depth change rate is obtained from the peak shaving depth change rate of the wind power grid connection according to the second confidence;

[0086] According to the final peak shaving depth change rate and the rated power generation power, the second power capacity is calculated.

[0087] In a specific embodiment, because the offshore wind power output has strong anti-peak shaving characteristics, the second power capacity P m2 is calculated by determining the peak shaving depth change rate distribution model before and after the offshore wind power grid connection (i.e., the peak shaving depth change rate distribution model before and after the wind power grid connection) for 365 days.

[0088] After obtaining the peak demand power data at peak time and the peak demand power data at valley time in the load data D, the difference between the peak demand power data at peak time and the peak demand power data at valley time is calculated and recorded as the daily load peak shaving depth h1;

[0089] The difference between the net load peak demand power data at peak time and the peak demand power data at valley time is calculated and recorded as the net load peak shaving depth h2; wherein the net load peak demand power data at peak time is the data in the load curve after deducting the historical output data P from the load data D;

[0090] According to the daily load peak shaving depth h1 and the net load peak shaving depth h2, combined with the rated power generation power P R , the peak shaving depth change rate Δh of the wind power grid connection is calculated, which can be represented by the following formula:

[0091]

[0092] The peak shaving depth change rate distribution model f2(x) before and after the wind power grid connection is established by using Student's t-distribution, and because only the influence of anti-peak shaving is considered, the sample capacity n 样本 with negative peak shaving depth change rate is selected from the total capacity 365, which can be represented by the following formula:

[0093]

[0094] Wherein, Γ(·) is the gamma function, and v is the shape parameter.

[0095] According to the peak regulation depth change rate distribution model before and after the wind power grid connection, a second cumulative probability distribution function F2 is obtained, which can be expressed by the following formula:

[0096]

[0097] The second confidence level is set to 0.8, and the second cumulative probability value F2(e) is obtained in combination with the non-reverse peak regulation case and the second cumulative probability distribution function. The final peak regulation depth change rate Δh corresponding to the second cumulative probability value F(e) is searched from the peak regulation depth change rate Δh of the wind power grid connection. e ;

[0098] According to the final peak regulation depth change rate Δh e and the rated power P R , the second power capacity P m2 is calculated, which can be expressed by the following formula:

[0099]

[0100] P m2 =P R ·|Δh e |。

[0101] S104: According to the first power capacity and the second power capacity, the power capacity of the energy storage system is calculated.

[0102] In this embodiment, the power capacity of the energy storage system is calculated according to the first power capacity and the second power capacity, which can be expressed by the following formula:

[0103] P m =max(P m1 , P m2 );

[0104] S105: After obtaining the configuration scheme of the to-be-configured offshore wind farm according to the energy storage system duration and the energy storage system power capacity, the energy storage configuration of the to-be-configured offshore wind farm is performed according to the configuration scheme.

[0105] In this embodiment, the energy storage system duration is obtained, specifically:

[0106] According to the historical output data and the channel capacity, the over-channel power is calculated;

[0107] According to the over-channel power, a distribution model of the over-channel power daily duration is established;

[0108] According to the distribution model of the over-channel power daily duration, a third confidence level is set, and the energy storage system duration is calculated according to the third confidence level.

[0109] In a specific embodiment, there is a high probability that the output of offshore wind power is close to the rated power, and the power capacity of the grid-connected transmission channel is generally less than the rated power of offshore wind power. The output part of the calculated historical output data P exceeding the channel capacity P L is recorded as the over-channel power P ex , which can be represented by the following formula:

[0110] P ex ={P|P>P L}|;

[0111] The daily duration (unit: hour) of the over-channel power P ex for 365 days is statistically analyzed, and a one-sided discrete t-location scale distribution (TLS) is used to establish a distribution model f3(x) of the daily duration of the over-channel power, which can be represented by the following formula:

[0112]

[0113] where Γ(·) is the gamma function, μ is the location parameter, σ is the scale parameter, and v is the shape parameter.

[0114] The third cumulative probability distribution function F3 is obtained through the distribution model of the daily duration of the over-channel power, which can be represented by the following formula:

[0115]

[0116] The third confidence level is set to 0.8, and the over-channel power daily duration that meets the third confidence level from the daily duration of the over-channel power P ex for 365 days is taken as the duration T m of the energy storage system.

[0117] The energy capacity E m of the energy storage system is calculated according to the duration T m of the energy storage system, which can be represented by the following formula:

[0118] E m =p m ·T m ;

[0119] Therefore, the configuration scheme of the offshore wind farm to be configured includes the power capacity P m and the energy capacity E m of the energy storage system, and the offshore wind farm to be configured is configured with energy storage according to the configuration scheme.

[0120] In order to better illustrate the specific process of the offshore wind farm energy storage configuration method, please refer to Figure 2 , Figure 2is a specific configuration process schematic diagram provided by an embodiment of the present application, comprising S201-S207:

[0121] S201: Obtain power data of a to-be-configured offshore wind farm;

[0122] S202: According to the power data and the distribution model of the output power of the offshore wind farm, the first power capacity is calculated;

[0123] S203: According to the power data and the distribution model of the change rate of the peak regulation depth before and after the wind power is connected to the grid, the second power capacity is calculated;

[0124] S204: According to the first power capacity and the second power capacity, the power capacity of the energy storage system is calculated;

[0125] S205: According to the distribution model of the daily duration of the overpass power, the duration of the energy storage system is calculated;

[0126] S206: According to the duration of the energy storage system and the power capacity of the energy storage system, the energy capacity of the energy storage system is calculated;

[0127] S207: After forming the configuration scheme of the to-be-configured offshore wind farm according to the power capacity of the energy storage system and the energy capacity of the energy storage system, the energy storage configuration of the to-be-configured offshore wind farm is performed according to the configuration scheme.

[0128] In order to further illustrate the offshore wind farm energy storage configuration device, please refer to Figure 3 , Figure 3 is a structure schematic diagram of an offshore wind farm energy storage configuration device provided by an embodiment of the present application, comprising: an acquisition module 301, a first calculation module 302, a second calculation module 303, a third calculation module 304 and a configuration module 305;

[0129] Among them, the acquisition module 301 is used for obtaining the power data of the to-be-configured offshore wind farm;

[0130] The first calculation module 302 is used for calculating the first power capacity according to the power data and the distribution model of the output power of the offshore wind farm;

[0131] The second calculation module 303 is used for calculating the second power capacity according to the power data and the distribution model of the change rate of the peak regulation depth before and after the wind power is connected to the grid;

[0132] The third calculation module 304 is used for calculating the power capacity of the energy storage system according to the first power capacity and the second power capacity;

[0133] The configuration module 305 is used for obtaining and calculating the configuration scheme of the to-be-configured offshore wind farm according to the duration of the energy storage system and the power capacity of the energy storage system, and then performing the energy storage configuration of the to-be-configured offshore wind farm according to the configuration scheme.

[0134] In the embodiment, the first power capacity is calculated according to the power data and the distribution model of the output power of the offshore wind farm, specifically as follows:

[0135] The power data includes historical output data and channel capacity; wherein the channel capacity is the power capacity of the grid-connected power transmission channel of the to-be-configured offshore wind farm;

[0136] The first cumulative probability value is calculated according to the distribution model of the output power of the offshore wind farm and the channel capacity;

[0137] After the first confidence level is set according to the first cumulative probability value, the first wind power output is obtained from the historical output data according to the first confidence level;

[0138] The first power capacity is calculated according to the first wind power output and the channel capacity.

[0139] In the embodiment, the second power capacity is calculated according to the power data and the distribution model of the change rate of the peak regulation depth before and after the wind power is connected to the grid, specifically as follows:

[0140] The power data further includes rated power and load data; wherein the load data is the corresponding load data of the power system to which the to-be-configured offshore wind farm is connected;

[0141] The daily load peak regulation depth and the net load peak regulation depth are calculated according to the load data and the historical output data;

[0142] The change rate of the peak regulation depth of the wind power connected to the grid is calculated according to the daily load peak regulation depth and the net load peak regulation depth;

[0143] The second cumulative probability value is calculated according to the distribution model of the change rate of the peak regulation depth before and after the wind power is connected to the grid and the change rate of the peak regulation depth of the wind power connected to the grid;

[0144] The second confidence level is set according to the second cumulative probability value, and the final change rate of the peak regulation depth is obtained from the change rate of the peak regulation depth of the wind power connected to the grid according to the second confidence level;

[0145] The second power capacity is calculated according to the final change rate of the peak regulation depth and the rated power.

[0146] In the embodiment, the duration of the energy storage system is obtained, specifically as follows:

[0147] The over-channel power is calculated according to the historical output data and the channel capacity;

[0148] The distribution model of the daily duration of the over-channel power is established according to the over-channel power;

[0149] The third confidence level is set according to a distribution model of the daily duration of the overpass power, and the energy storage system duration is calculated according to the third confidence level.

[0150] In order to better illustrate the specific structure of the offshore wind farm energy storage configuration device, please refer to Figure 4 , Figure 4 is a schematic diagram of the specific configuration structure provided by an embodiment of the present application, comprising: an acquisition module 401, a first calculation module 402, a second calculation module 403, a third calculation module 404, a fourth calculation module 405, a fifth calculation module 406 and a configuration module 407.

[0151] The acquisition module 401 is configured to acquire power data of an offshore wind farm to be configured.

[0152] The first calculation module 402 is configured to calculate a first power capacity according to the power data and a distribution model of the output power of the offshore wind farm.

[0153] The second calculation module 403 is configured to calculate a second power capacity according to the power data and a distribution model of the change rate of the peak shaving depth before and after the wind power is connected to the grid.

[0154] The third calculation module 404 is configured to calculate an energy storage system power capacity according to the first power capacity and the second power capacity.

[0155] The fourth calculation module 405 is configured to calculate an energy storage system duration according to a distribution model of the daily duration of the overpass power.

[0156] The fifth calculation module 406 is configured to calculate an energy storage system energy capacity according to the energy storage system duration and the energy storage system power capacity.

[0157] The configuration module 407 is configured to form a configuration scheme of the offshore wind farm to be configured according to the energy storage system power capacity and the energy storage system energy capacity, and perform energy storage configuration on the offshore wind farm to be configured according to the configuration scheme.

[0158] An embodiment of the present application provides a mobile terminal, comprising a processor and a memory, the memory stores computer readable program code, and the processor implements the steps of the offshore wind farm energy storage configuration method when executing the computer readable program code.

[0159] An embodiment of the present application provides a storage medium, the storage medium stores computer readable program code, and the steps of the offshore wind farm energy storage configuration method are implemented when the computer readable program code is executed.

[0160] The embodiment of the present application obtains the power data of the offshore wind farm to be configured through the acquisition module 301; obtains the first power capacity through the first calculation module 302 according to the power data and the distribution model of the offshore wind farm output power; obtains the second power capacity through the second calculation module 303 according to the power data and the distribution model of the change rate of the peak regulation depth before and after the wind power is connected to the grid; obtains the energy storage system power capacity through the third calculation module 304 according to the first power capacity and the second power capacity; and after obtaining the configuration scheme of the offshore wind farm to be configured according to the energy storage system time length and the energy storage system power capacity through the configuration module 305, the energy storage configuration of the offshore wind farm to be configured is performed according to the configuration scheme.

[0161] The embodiment of the present application obtains the first power capacity and the second power capacity through the distribution model of the offshore wind farm output power and the distribution model of the change rate of the peak regulation depth before and after the wind power is connected to the grid, in combination with the power data; the energy storage system power capacity calculated according to the first power capacity and the second power capacity can relieve the anti-peak regulation pressure caused by the offshore wind power connection to the grid; after obtaining the configuration scheme of the offshore wind farm to be configured according to the energy storage system time length and the energy storage system power capacity, the energy storage configuration of the offshore wind farm to be configured is performed according to the configuration scheme, which can not only relieve the anti-peak regulation influence caused by the offshore wind power connection to the grid, but also break through the constraint caused by the power transmission channel, improve the offshore wind power consumption and utilization, and improve the energy storage configuration precision of the offshore wind farm.

[0162] Further, the embodiment of the present application establishes a probability distribution model based on the actual data of the offshore wind power output and the grid load demand in a long time scale (months or a year), proposes a configuration method of the energy storage power capacity and the energy capacity meeting a certain confidence level, unifies the selection process of the energy storage power capacity and the energy capacity, and overcomes the problem of low applicability or poor economy caused by the fact that the energy storage configuration in the prior art does not consider the mutual relationship between the energy storage power and the capacity; and in the process of calculating the configuration scheme, the energy storage capacity configuration results under different confidence levels are obtained, the higher the confidence level is, the higher the accuracy is, thereby ensuring the energy storage configuration precision of the offshore wind farm.

[0163] Finally, in the process of the energy storage configuration of the offshore wind farm, the embodiment of the present application considers the level of the offshore wind farm output power, the duration of the power transmission channel and the change rate of the peak regulation depth after the connection to the grid, quickly determines the parameters of the energy storage configuration, is more consistent with the real situation of the offshore wind farm configuration energy storage, can effectively save the time cost and reduce the technical difficulty, and further promotes the utilization and development of the offshore wind power.

[0164] The above is the preferred embodiment of the present application, it should be pointed out that, for those skilled in the art, without departing from the principles of the present application, can also make a number of improvements and refinements, these improvements and refinements are also considered to be within the scope of the present application.

Claims

1. A method of energy storage configuration for an offshore wind farm, characterized in that, The method comprises the following steps: acquiring power data of a to-be-configured offshore wind farm; the power data comprises historical output data, channel capacity, rated power generation, and load data; wherein the channel capacity is the power capacity of a grid-connected power transmission channel of the to-be-configured offshore wind farm; the load data is corresponding load data of the to-be-configured offshore wind farm connected to a power system; calculating a first power capacity according to the power data and a distribution model of offshore wind farm output power; the calculation of the first power capacity is specifically as follows: calculating a first cumulative probability value according to the distribution model of offshore wind farm output power and the channel capacity; after setting a first confidence level according to the first cumulative probability value, acquiring a first wind power output from the historical output data according to the first confidence level; calculating the first power capacity according to the first wind power output and the channel capacity; calculating a second power capacity according to the power data and a distribution model of peak regulation depth change rate before and after wind power grid connection; the calculation of the second power capacity is specifically as follows: calculating daily load peak regulation depth and net load peak regulation depth according to the load data and the historical output data; calculating a wind power grid connection peak regulation depth change rate according to the daily load peak regulation depth and the net load peak regulation depth; calculating a second cumulative probability value according to the distribution model of peak regulation depth change rate before and after wind power grid connection and the wind power grid connection peak regulation depth change rate; setting a second confidence level according to the second cumulative probability value, and acquiring a final peak regulation depth change rate from the wind power grid connection peak regulation depth change rate according to the second confidence level; calculating the second power capacity according to the final peak regulation depth change rate and the rated power generation; calculating an energy storage system power capacity according to the first power capacity and the second power capacity; acquiring an energy storage system time length and calculating a configuration scheme of the to-be-configured offshore wind farm according to the energy storage system power capacity and the energy storage system time length, and then configuring the energy storage of the to-be-configured offshore wind farm according to the configuration scheme.

2. A method of energy storage configuration for an offshore wind farm according to claim 1, characterized in that, The acquisition of the energy storage system time length is specifically as follows: calculating an over-channel power according to the historical output data and the channel capacity; establishing a distribution model of over-channel power daily duration according to the over-channel power; setting a third confidence level according to the distribution model of over-channel power daily duration, and calculating the energy storage system time length according to the third confidence level.

3. An offshore wind farm energy storage configuration apparatus, characterized by, The method comprises the following steps: an acquisition module, a first calculation module, a second calculation module, a third calculation module, and a configuration module; the acquisition module is used to acquire power data of a to-be-configured offshore wind farm; the power data comprises historical output data, channel capacity, rated power generation, and load data; wherein the channel capacity is the power capacity of a grid-connected power transmission channel of the to-be-configured offshore wind farm; the load data is corresponding load data of the to-be-configured offshore wind farm connected to a power system; the first calculation module is used to calculate a first power capacity according to the power data and a distribution model of offshore wind farm output power; the calculation of the first power capacity is specifically as follows: According to the distribution model of the offshore wind farm output power and the channel capacity, a first cumulative probability value is calculated; According to the first cumulative probability value, a first confidence level is set, and a first wind power output is obtained from the historical output data according to the first confidence level; According to the first wind power output and the channel capacity, the first power capacity is calculated; The second calculation module is configured to calculate a second power capacity according to the power data and a wind power grid-connected pre-and-post peak regulation depth change rate distribution model; The calculation of the second power capacity specifically includes: According to the load data and the historical output data, a daily load peak regulation depth and a net load peak regulation depth are calculated; According to the daily load peak regulation depth and the net load peak regulation depth, a wind power grid-connected peak regulation depth change rate is calculated; According to the wind power grid-connected pre-and-post peak regulation depth change rate distribution model and the wind power grid-connected peak regulation depth change rate, a second cumulative probability value is calculated; According to the second cumulative probability value, a second confidence level is set, and a final peak regulation depth change rate is obtained from the wind power grid-connected peak regulation depth change rate according to the second confidence level; According to the final peak regulation depth change rate and the rated power generation capacity, the second power capacity is calculated; The third calculation module is configured to calculate an energy storage system power capacity according to the first power capacity and the second power capacity. The configuration module is configured to obtain an energy storage system time length and the energy storage system power capacity, calculate a configuration scheme of the offshore wind farm to be configured according to the energy storage system time length and the energy storage system power capacity, and perform energy storage configuration on the offshore wind farm to be configured according to the configuration scheme.

4. A configuration of energy storage for an offshore wind farm according to claim 3, characterized in that, The energy storage system time length is calculated according to the historical output data and the channel capacity, and a through-channel power is calculated. A through-channel power daily duration distribution model is established according to the through-channel power. According to the third confidence level, the energy storage system time length is calculated according to the third confidence level. The storage medium stores computer readable program code, and when the computer readable program code is executed, the steps of the offshore wind farm energy storage configuration method in any one of claims 1 to 2 are implemented.

5. A mobile terminal, characterized by The storage medium stores computer readable program code, and when the computer readable program code is executed, the steps of the offshore wind farm energy storage configuration method in any one of claims 1 to 2 are implemented.

6. A storage medium, characterized by ​

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