CN114696357A - Energy storage configuration method and device for offshore wind farm - Google Patents

Energy storage configuration method and device for offshore wind farm Download PDF

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Publication number
CN114696357A
CN114696357A CN202210366014.XA CN202210366014A CN114696357A CN 114696357 A CN114696357 A CN 114696357A CN 202210366014 A CN202210366014 A CN 202210366014A CN 114696357 A CN114696357 A CN 114696357A
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power
energy storage
offshore wind
capacity
calculating
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Inventor
陈鸿琳
余浩
许亮
娄素华
龚贤夫
杨小娟
林勇
段瑶
左郑敏
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Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy

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Abstract

The invention discloses an offshore wind farm energy storage configuration method and device, wherein the method comprises the following steps: acquiring power data of an offshore wind farm to be configured; calculating to obtain a first power capacity according to the power data and the distribution model of the output power of the offshore wind farm; calculating to obtain a second power capacity according to the electric power data and the peak-shaving depth change rate distribution model before and after grid connection of the wind power; calculating to obtain the power capacity of the energy storage system according to the first power capacity and the second power capacity; and after a configuration scheme of the offshore wind farm to be configured is obtained and calculated according to the time length of the energy storage system and the power capacity of the energy storage system, energy storage configuration is carried out on the offshore wind farm to be configured according to the configuration scheme. By adopting the embodiment of the invention, the energy storage configuration precision of the offshore wind power plant can be improved.

Description

Energy storage configuration method and device for offshore wind farm
Technical Field
The invention relates to the technical field of data processing, in particular to an offshore wind farm energy storage configuration method and device.
Background
At present, offshore wind power is developing vigorously, the global total installed capacity of the offshore wind power is developed from 705 ten thousand kilowatts in 2013 to 5050 thousand kilowatts in 2021, an offshore wind farm outputs generated power to a load center through a power transmission channel, the cost of a power transmission cable is high, on one hand, abandoned wind is caused by power transmission blockage in a part of time period with large integral output in the grid-connected operation of the offshore wind power, on the other hand, a severe challenge is brought to peak regulation of a power grid, the abandoned wind is caused by insufficient peak regulation capacity of the power grid, and the absorption capacity of the power grid to the offshore wind power can be effectively improved by configuring an energy storage system for the offshore wind power farm.
The energy storage device plays a role in peak clipping and valley filling in a power grid, the output curve of an offshore wind power plant can be smoothed by configuring energy storage at the source side, the reverse peak-clipping influence caused by offshore wind power integration is relieved, and when the output of the offshore wind power is too high, the energy storage device is charged; when the offshore wind power output is insufficient, the energy storage device discharges. In the prior art, the influence caused by power transmission blockage and inverse peak regulation characteristics when offshore wind power is connected to the grid is not comprehensively considered in the energy storage configuration process, so that the problem of low precision exists in the existing energy storage configuration method.
Disclosure of Invention
The embodiment of the invention provides an offshore wind farm energy storage configuration method and device, which improve the energy storage configuration precision of an offshore wind farm.
A first aspect of an embodiment of the present application provides an offshore wind farm energy storage configuration method, including:
acquiring power data of an offshore wind farm to be configured;
calculating to obtain a first power capacity according to the power data and the distribution model of the output power of the offshore wind farm;
calculating to obtain a second power capacity according to the electric power data and the peak-shaving depth change rate distribution model before and after grid connection of the wind power;
calculating to obtain the power capacity of the energy storage system according to the first power capacity and the second power capacity;
and after a configuration scheme of the offshore wind farm to be configured is obtained and calculated according to the time length of the energy storage system and the power capacity of the energy storage system, energy storage configuration is carried out on the offshore wind farm to be configured according to the configuration scheme.
In a possible implementation manner of the first aspect, the first power capacity is obtained by calculation according to the power data and a distribution model of the output power of the offshore wind farm, and specifically:
the power data includes: historical force data and channel capacity; the channel capacity is the power capacity of a grid-connected power transmission channel of the offshore wind farm to be configured;
calculating to obtain a first cumulative probability value according to a distribution model of the output power of the offshore wind farm and the channel capacity;
according to the first cumulative probability value, after a first confidence coefficient is set, acquiring first wind power output power from historical output data according to the first confidence coefficient;
and calculating to obtain first power capacity according to the first wind power output power and the channel capacity.
In a possible implementation manner of the first aspect, the second power capacity is obtained by calculation according to the electric power data and the peak shaving depth change rate distribution model before and after grid connection of wind power, and specifically:
the power data further includes: rated power generation and load data; the load data is corresponding load data of an offshore wind power plant to be configured, which is accessed to the power system;
calculating daily load peak regulation depth and net load peak regulation depth according to the load data and the historical output data;
calculating to obtain the peak regulation depth change rate of the wind power integration according to the daily load peak regulation depth and the net load peak regulation depth;
calculating to obtain a second cumulative probability value according to a peak-regulation depth change rate distribution model before and after wind power integration and the peak-regulation depth change rate of the wind power integration;
setting a second confidence coefficient according to the second cumulative probability value, and acquiring a final pitch peak depth change rate from the pitch peak depth change rate of the wind power integration according to the second confidence coefficient;
and calculating to obtain a second power capacity according to the final peak-shaving depth change rate and the rated power generation power.
In a possible implementation manner of the first aspect, the obtaining of the energy storage system duration specifically includes:
calculating to obtain the power of the channel according to the historical output data and the channel capacity;
establishing a distribution model of the daily duration of the channel passing power according to the channel passing power;
and setting a third confidence coefficient according to a distribution model of the daily duration of the channel passing power, and calculating the time length of the energy storage system according to the third confidence coefficient.
A second aspect of the embodiments of the present application provides an offshore wind farm energy storage configuration device, including: the system comprises an acquisition module, a first calculation module, a second calculation module, a third calculation module and a configuration module;
the acquisition module is used for acquiring power data of an offshore wind farm to be configured;
the first calculation module is used for calculating to obtain a first power capacity according to the power data and the distribution model of the output power of the offshore wind farm;
the second calculation module is used for calculating to obtain a second power capacity according to the electric power data and the peak-shaving depth change rate distribution model before and after grid connection of wind power;
the third calculation module is used for calculating the power capacity of the energy storage system according to the first power capacity and the second power capacity;
the configuration module is used for obtaining and calculating a configuration scheme of the offshore wind farm to be configured according to the time length of the energy storage system and the power capacity of the energy storage system, and then performing energy storage configuration on the offshore wind farm to be configured according to the configuration scheme.
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 offshore wind farm output power, and specifically:
the power data includes: historical force data and channel capacity; the channel capacity is the power capacity of a grid-connected power transmission channel of the offshore wind farm to be configured;
calculating to obtain a first cumulative probability value according to a distribution model of the output power of the offshore wind farm and the channel capacity;
according to the first cumulative probability value, after a first confidence coefficient is set, acquiring first wind power output power from historical output data according to the first confidence coefficient;
and calculating to obtain first power capacity according to the first wind power output power and the channel capacity.
In a possible implementation manner of the second aspect, the second power capacity is obtained by calculation according to the electric power data and the peak shaving depth change rate distribution model before and after grid connection of wind power, and specifically:
the power data further includes: rated power generation and load data; the load data is corresponding load data of an offshore wind power plant to be configured, which is accessed to the power system;
calculating daily load peak regulation depth and net load peak regulation depth according to the load data and the historical output data;
calculating to obtain the peak regulation depth change rate of the wind power integration according to the daily load peak regulation depth and the net load peak regulation depth;
calculating to obtain a second cumulative probability value according to a peak-regulation depth change rate distribution model before and after wind power integration and the peak-regulation depth change rate of the wind power integration;
setting a second confidence coefficient according to the second cumulative probability value, and acquiring a final pitch peak depth change rate from the pitch peak depth change rate of the wind power integration according to the second confidence coefficient;
and calculating to obtain a second power capacity according to the final peak-shaving depth change rate and the rated power generation power.
In a possible implementation manner of the second aspect, the obtaining of the energy storage system duration specifically includes:
calculating to obtain the power of the channel according to the historical output data and the channel capacity;
establishing a distribution model of the daily duration of the channel passing power according to the channel passing power;
and setting a third confidence coefficient according to a distribution model of the daily duration of the channel passing power, and calculating the time length of the energy storage system according to the third confidence coefficient.
A third aspect of the embodiments of the present application provides a mobile terminal, which includes a processor and a memory, where the memory stores a computer-readable program code, and when the processor executes the computer-readable program code, the steps of the above-mentioned offshore wind farm energy storage configuration method are implemented.
A fourth aspect of embodiments of the present application provides a storage medium storing computer readable program code, which when executed, implements the steps of a method for configuring an offshore wind farm energy storage as described above.
Compared with the prior art, the offshore wind farm energy storage configuration method and device provided by the embodiment of the invention comprise the following steps: acquiring power data of an offshore wind farm to be configured; calculating to obtain a first power capacity according to the power data and the distribution model of the output power of the offshore wind farm; calculating to obtain a second power capacity according to the electric power data and the peak-shaving depth change rate distribution model before and after grid connection of the wind power; calculating to obtain the power capacity of the energy storage system according to the first power capacity and the second power capacity; and after a configuration scheme of the offshore wind farm to be configured is obtained and calculated according to the time length of the energy storage system and the power capacity of the energy storage system, energy storage configuration is carried out on the offshore wind farm to be configured according to the configuration scheme.
The beneficial effects are that: according to the embodiment of the invention, a first power capacity and a second power capacity are respectively obtained by combining power data through a distribution model of output power of an offshore wind power plant and a distribution model of pitch depth change rate before and after grid connection of wind power; according to the first power capacity and the second power capacity, the power capacity of the energy storage system is obtained through calculation, and the reverse peak load regulation pressure caused by offshore wind power integration can be relieved; according to the time length of the energy storage system and the power capacity of the energy storage system, after the configuration scheme of the offshore wind farm to be configured is obtained through calculation, energy storage configuration is carried out on the offshore wind farm to be configured according to the configuration scheme, the influence of inverse peak regulation caused by offshore wind power grid connection can be relieved, the constraint caused by a power transmission channel can be broken through, the utilization of offshore wind power is promoted, and the energy storage configuration precision of the offshore wind farm is improved.
Furthermore, the embodiment of the invention establishes a probability distribution model based on actual data of offshore wind power output and power grid load demand on a longer time scale (months or all years), provides a configuration method of energy storage power capacity and 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 mutual relation between the energy storage power and the capacity is not considered in the energy storage configuration in the prior art; in the process of calculating the configuration scheme, energy storage capacity configuration results under different confidence degrees are obtained, the higher the confidence degree is, the higher the accuracy is, and therefore the energy storage configuration precision of the offshore wind farm is guaranteed.
Finally, in the process of energy storage configuration of the offshore wind farm, the energy storage configuration parameters are quickly determined by considering the level of the output power of the offshore wind farm, the duration time of the channel passing power and the peak regulation depth change rate after grid connection, so that the method and the device for energy storage configuration of the offshore wind farm are more consistent with the real situation of energy storage configuration of the offshore wind farm, can effectively save time cost and reduce technical difficulty, and further promote utilization of offshore wind power and promote development of offshore wind power.
Drawings
Fig. 1 is a schematic flow chart of an energy storage configuration method for an offshore wind farm according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating an exemplary configuration according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an energy storage configuration device of an offshore wind farm according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a specific configuration structure according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, which is a schematic flow chart of an energy storage configuration method for an offshore wind farm according to an embodiment of the present invention, the method includes steps S101 to S105:
s101: and acquiring power data of the offshore wind farm to be configured.
Wherein the power data includes: historical output data, channel capacity, rated power generation and load data. The channel capacity is the power capacity of the grid-connected power transmission channel of the offshore wind power plant to be configured and is marked as PL(ii) a The load data is corresponding load data of an offshore wind power plant to be configured, which is accessed into the power system and is marked as D; the historical output data is specifically 8760 hours of historical output data in 365 days all the year, and is marked as P; the rated power generation is specifically rated power generation of the offshore wind farm to be configured and is marked as PR. Further, the offshore wind farm to be configured is an offshore wind farm.
S102: and calculating to obtain the first power capacity according to the power data and the distribution model of the output power of the offshore wind farm.
In this embodiment, a first power capacity is calculated according to the power data and the distribution model of the offshore wind farm output power, specifically:
the power data includes: historical force data and channel capacity; the channel capacity is the power capacity of a grid-connected power transmission channel of the offshore wind farm to be configured;
calculating to obtain a first cumulative probability value according to a distribution model of the output power of the offshore wind plant and the channel capacity;
according to the first cumulative probability value, after a first confidence coefficient is set, acquiring first wind power output power from historical output data according to the first confidence coefficient;
and calculating to obtain a first power capacity according to the first wind power output power and the channel capacity.
In this embodiment, the obtaining of the first wind power output power from the historical output data specifically includes: and acquiring first wind power output power from the distribution model of the historical output data.
Furthermore, since offshore wind power output has large fluctuation and high uncertainty, probability statistics of 8760 hours of the whole year is carried out on historical output data P, and a Weibull is adopted to establish a distribution model f of offshore wind power plant output power1(x) It can be expressed by the following formula:
Figure BDA0003587075230000071
wherein a is a position parameter, c is a scale parameter, and k is a shape parameter.
Obtaining a first cumulative probability distribution function F according to a distribution model of the output power of the offshore wind plant1It can be expressed by the following formula:
Figure BDA0003587075230000072
finding channel capacity PLCorresponding first cumulative probability value F (P)L) Determining a first standard deviation aw(awValue of 0.05), then the corresponding first confidence F1(e) Can be represented by the following formula:
F1(e)＝1-αw；
finding a first confidence F from historical contribution data1(e) Corresponding first wind power output power PEThen according to the first wind power output power PESum channel capacity PLCalculating to obtain a first power capacity Pm1It can be expressed by the following formula:
Pm1＝PE-PL。
s103: and calculating to obtain a second power capacity according to the electric power data and the peak-shaving depth change rate distribution model before and after the grid connection of the wind power.
In this embodiment, the second power capacity is calculated according to the power data and the peak shaving depth change rate distribution model before and after grid connection of wind power, and specifically:
the power data further includes: rated power generation and load data; the load data is corresponding load data of an offshore wind power plant to be configured, which is accessed to the power system;
calculating daily load peak regulation depth and net load peak regulation depth according to the load data and the historical output data;
calculating to obtain the peak regulation depth change rate of the wind power integration according to the daily load peak regulation depth and the net load peak regulation depth;
calculating to obtain a second cumulative probability value according to a peak-regulation depth change rate distribution model before and after wind power integration and the peak-regulation depth change rate of the wind power integration;
setting a second confidence coefficient according to the second cumulative probability value, and acquiring a final pitch peak depth change rate from the pitch peak depth change rate of the wind power integration according to the second confidence coefficient;
and calculating to obtain a second power capacity according to the final peak-shaving depth change rate and the rated power generation power.
In a specific embodiment, since the offshore wind power output has a strong reverse peak regulation characteristic, the second power capacity P is calculated by determining a peak regulation depth change rate distribution model before and after 365-day offshore wind power integration (i.e. a peak regulation depth change rate distribution model before and after wind power integration)m2The method specifically comprises the following steps:
after the peak time demand electric power data and the valley time demand electric power data in the load data D are obtained, the difference value between the peak time demand electric power data and the valley time demand electric power data is calculated and recorded as the daily load peak shaving depth h1；
Calculating the difference between the required power data at the peak moment and the required power data at the valley moment of the net load, and recording the difference as the peak load regulation depth h2(ii) a Wherein, the net load peak demand power data is a load curve obtained by deducting historical output data P from load data DThe data of (1);
according to daily load peak regulation depth h1And net load peak shaving depth h2Combined with rated generated power PRAnd calculating to obtain the peak regulation depth change rate delta h of the wind power integration, which can be represented by the following formula:
Figure BDA0003587075230000081
student's t-distribution is adopted to establish a wind power grid-connected front and back peak regulation depth change rate distribution model f2(x) Since only the influence of the back-peaking is taken into consideration, the sample volume n having a negative peak-depth change rate is selected from the total volume 365Sample(s)It can be expressed by the following formula:
Figure BDA0003587075230000082
wherein, gamma function is gamma function, and v is shape parameter.
Obtaining a second cumulative probability distribution function F according to the peak-regulation depth change rate distribution model before and after wind power integration2It can be expressed by the following formula:
Figure BDA0003587075230000091
setting the second confidence coefficient to be 0.8, and combining the non-inverse peak regulation condition and the second cumulative probability distribution function to obtain a second cumulative probability value F2(e) Searching a final peak-shaving depth change rate delta h corresponding to a second cumulative probability value F (e) from the peak-shaving depth change rate delta h of the wind power integratione；
According to the change rate delta h of the final peak-regulation deptheAnd rated power PRAnd then calculating to obtain a second power capacity Pm2It can be expressed by the following formula:
Figure BDA0003587075230000092
Pm2＝PR·|Δhe|。
s104: and calculating to obtain the power capacity of the energy storage system according to the first power capacity and the second power capacity.
In this embodiment, the energy storage system power capacity is calculated according to the first power capacity and the second power capacity, and may be represented by the following formula:
Pm＝max(Pm1，Pm2)；
s105: and after a configuration scheme of the offshore wind farm to be configured is obtained and calculated according to the time length of the energy storage system and the power capacity of the energy storage system, energy storage configuration is carried out on the offshore wind farm to be configured according to the configuration scheme.
In this embodiment, the obtaining of the energy storage system duration specifically includes:
calculating to obtain the power of the channel according to the historical output data and the channel capacity;
establishing a distribution model of the daily duration of the channel passing power according to the channel passing power;
and setting a third confidence coefficient according to a distribution model of the daily duration of the power of the passing channel, and calculating the time length of the energy storage system according to the third confidence coefficient.
In a specific embodiment, the power capacity of the grid-connected power transmission channel is generally smaller than the rated power of the offshore wind power because the offshore wind power has a high probability of generating a condition that the output is close to the rated power. Calculating historical contribution data P exceeding channel capacity PLThe power contribution of (1) is recorded as the power of the through channel PexIt can be expressed by the following formula:
Pex＝{P|P＞PL}|；
for 365 days of power P of passing channelexThe daily duration (unit: hour) of the power channel is subjected to probability statistics, and a distribution model f of the daily duration of the power channel is established by adopting single-side discrete t-location scale distribution (TLS)3(x) It can be expressed by the following formula:
Figure BDA0003587075230000101
wherein, gamma function is gamma function, mu is position parameter, sigma is scale parameter, and nu is shape parameter.
Obtaining a third cumulative probability distribution function F through a distribution model of the daily duration of the channel power3It can be expressed by the following formula:
Figure BDA0003587075230000102
setting the third confidence coefficient to be 0.8, and passing the channel power P from 365 daysexThe channel-passing power daily duration satisfying the third confidence coefficient in the daily duration is used as the time length T of the energy storage systemm。
According to the time length T of the energy storage systemmCalculating to obtain the energy capacity E of the energy storage systemmIt can be expressed by the following formula:
Em＝pm·Tm；
the configuration scheme of the offshore wind farm to be configured comprises the following steps: energy storage system power capacity PmAnd system energy capacity EmAnd performing energy storage configuration on the offshore wind farm to be configured according to the configuration scheme.
To better explain the specific process of the energy storage configuration method of the offshore wind farm, please refer to fig. 2, fig. 2 is a specific configuration process schematic diagram provided by an embodiment of the present invention, including S201-S207:
s201: acquiring power data of an offshore wind farm to be configured;
s202: calculating to obtain a first power capacity according to the power data and the distribution model of the output power of the offshore wind farm;
s203: calculating to obtain a second power capacity according to the electric power data and the peak-shaving depth change rate distribution model before and after grid connection of the wind power;
s204: calculating to obtain the power capacity of the energy storage system according to the first power capacity and the second power capacity;
s205: calculating to obtain the time length of the energy storage system according to a distribution model of the daily duration of the channel passing power;
s206: calculating to obtain the energy capacity of the energy storage system according to the time length of the energy storage system and the power capacity of the energy storage system;
s207: and after a configuration scheme of the offshore wind farm to be configured is formed according to the power capacity of the energy storage system and the energy capacity of the energy storage system, performing energy storage configuration on the offshore wind farm to be configured according to the configuration scheme.
For further explanation of the energy storage configuration device of the offshore wind farm, please refer to fig. 3, where fig. 3 is a schematic structural diagram of an energy storage configuration device of an offshore wind farm according to an embodiment of the present invention, including: an acquisition module 301, a first calculation module 302, a second calculation module 303, a third calculation module 304 and a configuration module 305;
the acquisition module 301 is configured to acquire power data of an offshore wind farm to be configured;
the first calculation module 302 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;
the second calculation module 303 is configured to calculate to obtain a second power capacity according to the power data and the peak shaving depth change rate distribution model before and after grid connection of wind power;
the third calculating module 304 is configured to calculate a power capacity of the energy storage system according to the first power capacity and the second power capacity;
the configuration module 305 is configured to obtain and calculate a configuration scheme of the offshore wind farm to be configured according to the energy storage system duration and the energy storage system power capacity, and then perform energy storage configuration on the offshore wind farm to be configured according to the configuration scheme.
In this embodiment, a first power capacity is calculated according to the power data and the distribution model of the offshore wind farm output power, specifically:
the power data includes: historical force data and channel capacity; the channel capacity is the power capacity of a grid-connected power transmission channel of the offshore wind farm to be configured;
calculating to obtain a first cumulative probability value according to a distribution model of the output power of the offshore wind farm and the channel capacity;
according to the first cumulative probability value, after a first confidence coefficient is set, acquiring first wind power output power from historical output data according to the first confidence coefficient;
and calculating to obtain first power capacity according to the first wind power output power and the channel capacity.
In this embodiment, the second power capacity is calculated according to the power data and the peak shaving depth change rate distribution model before and after grid connection of wind power, and specifically:
the power data further includes: rated power generation and load data; the load data is corresponding load data of an offshore wind power plant to be configured, which is accessed to the power system;
calculating daily load peak regulation depth and net load peak regulation depth according to the load data and the historical output data;
calculating to obtain the peak regulation depth change rate of the wind power integration according to the daily load peak regulation depth and the net load peak regulation depth;
calculating to obtain a second cumulative probability value according to a peak-regulation depth change rate distribution model before and after wind power integration and the peak-regulation depth change rate of the wind power integration;
setting a second confidence coefficient according to a second cumulative probability value, and acquiring a final pitch peak depth change rate from the pitch peak depth change rate of the wind power integration according to the second confidence coefficient;
and calculating to obtain a second power capacity according to the final peak-shaving depth change rate and the rated power generation power.
In this embodiment, the obtaining of the energy storage system duration specifically includes:
calculating to obtain the power of the channel according to the historical output data and the channel capacity;
establishing a distribution model of the daily duration of the channel passing power according to the channel passing power;
and setting a third confidence coefficient according to a distribution model of the daily duration of the power of the passing channel, and calculating the time length of the energy storage system according to the third confidence coefficient.
To better illustrate the specific structure of the energy storage configuration device of the offshore wind farm, please refer to fig. 4, where fig. 4 is a schematic diagram of the specific configuration structure provided by an embodiment of the present invention, including: an obtaining module 401, a first calculating module 402, a second calculating module 403, a third calculating module 404, a fourth calculating module 405, a fifth calculating module 406 and a configuration module 407;
the obtaining module 401 is configured to obtain power data of an offshore wind farm to be configured;
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;
the second calculation module 403 is configured to calculate to obtain a second power capacity according to the power data and the peak shaving depth change rate distribution model before and after grid connection of wind power;
the third calculating module 404 is configured to calculate a power capacity of the energy storage system according to the first power capacity and the second power capacity;
the fourth calculation module 405 is configured to calculate a time length of the energy storage system according to a distribution model of the channel-passing power daily duration;
the fifth calculating module 406 is configured to calculate the energy capacity of the energy storage system according to the duration of the energy storage system and the power capacity of the energy storage system;
the configuration module 407 is configured to perform energy storage configuration on the offshore wind farm to be configured according to the configuration scheme after forming the configuration scheme of the offshore wind farm to be configured according to the power capacity of the energy storage system and the energy capacity of the energy storage system.
A specific embodiment of the present invention provides a mobile terminal, which includes a processor and a memory, where the memory stores a computer-readable program code, and when the processor executes the computer-readable program code, the steps of the above-mentioned offshore wind farm energy storage configuration method are implemented.
A specific embodiment of the present invention provides a storage medium storing computer readable program code which, when executed, implements the steps of a method for offshore wind farm energy storage configuration described above.
According to the embodiment of the invention, the power data of the offshore wind farm to be configured is acquired through an acquisition module 301; calculating to obtain a first power capacity through a first calculation module 302 according to the power data and the distribution model of the output power of the offshore wind farm; calculating to obtain a second power capacity through a second calculation module 303 according to the electric power data and the peak-shaving depth change rate distribution model before and after the grid connection of the wind power; calculating to obtain the power capacity of the energy storage system according to the first power capacity and the second power capacity through the third calculating module 304; after the configuration scheme of the offshore wind farm to be configured is obtained through calculation by the configuration module 305 according to the energy storage system duration and the energy storage system power capacity, energy storage configuration is performed on the offshore wind farm to be configured according to the configuration scheme.
According to the embodiment of the invention, a first power capacity and a second power capacity are respectively obtained by combining power data through a distribution model of output power of an offshore wind power plant and a distribution model of pitch depth change rate before and after grid connection of wind power; according to the first power capacity and the second power capacity, the power capacity of the energy storage system is obtained through calculation, and the reverse peak load regulation pressure caused by offshore wind power integration can be relieved; according to the time length of the energy storage system and the power capacity of the energy storage system, after the configuration scheme of the offshore wind farm to be configured is obtained through calculation, energy storage configuration is carried out on the offshore wind farm to be configured according to the configuration scheme, the reverse peak regulation influence caused by offshore wind power grid connection can be relieved, the constraint caused by a power transmission channel can be broken through, the offshore wind power absorption utilization is improved, and the energy storage configuration precision of the offshore wind farm is improved.
Furthermore, the embodiment of the invention establishes a probability distribution model based on actual data of offshore wind power output and power grid load demand on a longer time scale (months or all years), provides a configuration method of energy storage power capacity and 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 mutual relation between the energy storage power and the capacity is not considered in the energy storage configuration in the prior art; in the process of calculating the configuration scheme, energy storage capacity configuration results under different confidence degrees are obtained, the higher the confidence degree is, the higher the accuracy is, and therefore the energy storage configuration precision of the offshore wind farm is guaranteed.
Finally, in the process of energy storage configuration of the offshore wind farm, the energy storage configuration parameters are quickly determined by considering the level of the output power of the offshore wind farm, the duration time of the channel passing power and the peak regulation depth change rate after grid connection, so that the method and the device for energy storage configuration of the offshore wind farm are more consistent with the real situation of energy storage configuration of the offshore wind farm, can effectively save time cost and reduce technical difficulty, and further promote utilization of offshore wind power and promote development of offshore wind power.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (10)

1. An offshore wind farm energy storage configuration method, comprising:
acquiring power data of an offshore wind farm to be configured;
calculating to obtain a first power capacity according to the power data and a distribution model of the output power of the offshore wind farm;
calculating to obtain a second power capacity according to the electric power data and a peak-shaving depth change rate distribution model before and after grid connection of wind power;
calculating to obtain the power capacity of the energy storage system according to the first power capacity and the second power capacity;
and after a configuration scheme of the offshore wind farm to be configured is obtained and calculated according to the time length of the energy storage system and the power capacity of the energy storage system, energy storage configuration is carried out on the offshore wind farm to be configured according to the configuration scheme.
2. The offshore wind farm energy storage configuration method according to claim 1, wherein a first power capacity is obtained by calculation according to the power data and a distribution model of offshore wind farm output power, specifically:
the power data includes: historical force data and channel capacity; the channel capacity is the power capacity of the offshore wind power plant grid-connected power transmission channel to be configured;
calculating to obtain a first cumulative probability value according to the distribution model of the output power of the offshore wind farm and the channel capacity;
according to the first accumulated probability value, after a first confidence coefficient is set, acquiring first wind power output power from the historical output data according to the first confidence coefficient;
and calculating to obtain the first power capacity according to the first wind power output power and the channel capacity.
3. The offshore wind farm energy storage configuration method according to claim 2, wherein a second power capacity is obtained by calculation according to the electric power data and a wind power grid-connected front and rear peak shaver depth change rate distribution model, specifically:
the power data further includes: rated power generation and load data; the load data is corresponding load data of the offshore wind power plant to be configured accessed to the power system;
calculating daily load peak regulation depth and net load peak regulation depth according to the load data and the historical output data;
calculating the peak regulation depth change rate of the wind power integration according to the daily load peak regulation depth and the net load peak regulation depth;
calculating to obtain a second cumulative probability value according to the peak-regulation depth change rate distribution model before and after the wind power integration and the peak-regulation depth change rate of the wind power integration;
setting a second confidence coefficient according to the second cumulative probability value, and acquiring a final pitch peak depth change rate from the pitch peak depth change rate of the wind power integration according to the second confidence coefficient;
and calculating to obtain the second power capacity according to the final peak-shaving depth change rate and the rated power generation power.
4. The offshore wind farm energy storage configuration method according to claim 3, wherein the obtaining of the energy storage system duration specifically comprises:
calculating to obtain the channel power according to the historical output data and the channel capacity;
establishing a distribution model of the daily duration of the channel passing power according to the channel passing power;
and setting a third confidence coefficient according to the distribution model of the daily duration of the channel passing power, and calculating the time length of the energy storage system according to the third confidence coefficient.
5. An offshore wind farm energy storage arrangement, comprising: the system comprises an acquisition module, a first calculation module, a second calculation module, a third calculation module and a configuration module;
the acquisition module is used for acquiring power data of an offshore wind farm to be configured;
the first calculation module is used for calculating to obtain first power capacity according to the power data and a distribution model of the output power of the offshore wind farm;
the second calculation module is used for calculating to obtain a second power capacity according to the electric power data and a pitch peak depth change rate distribution model before and after grid connection of wind power;
the third calculation module is used for calculating the power capacity of the energy storage system according to the first power capacity and the second power capacity;
the configuration module is used for obtaining and calculating a configuration scheme of the offshore wind farm to be configured according to the energy storage system duration and the energy storage system power capacity, and then performing energy storage configuration on the offshore wind farm to be configured according to the configuration scheme.
6. The offshore wind farm energy storage configuration device according to claim 5, wherein the first power capacity is calculated according to the power data and the distribution model of the offshore wind farm output power, and specifically:
the power data includes: historical force data and channel capacity; the channel capacity is the power capacity of the offshore wind power plant grid-connected power transmission channel to be configured;
calculating to obtain a first cumulative probability value according to a distribution model of the output power of the offshore wind plant and the channel capacity;
according to the first cumulative probability value, after a first confidence coefficient is set, acquiring first wind power output power from the historical output data according to the first confidence coefficient;
and calculating to obtain the first power capacity according to the first wind power output power and the channel capacity.
7. The offshore wind farm energy storage configuration device according to claim 6, wherein a second power capacity is calculated according to the electric power data and a wind power grid-connected front and rear peak shaver depth change rate distribution model, specifically:
the power data further includes: rated power generation and load data; the load data are corresponding load data of the offshore wind farm to be configured, which is accessed to the power system;
calculating daily load peak regulation depth and net load peak regulation depth according to the load data and the historical output data;
calculating the peak regulation depth change rate of the wind power integration according to the daily load peak regulation depth and the net load peak regulation depth;
calculating to obtain a second cumulative probability value according to the peak-regulation depth change rate distribution model before and after the wind power integration and the peak-regulation depth change rate of the wind power integration;
setting a second confidence coefficient according to the second cumulative probability value, and acquiring a final pitch peak depth change rate from the pitch peak depth change rate of the wind power integration according to the second confidence coefficient;
and calculating to obtain the second power capacity according to the final peak-shaving depth change rate and the rated power generation power.
8. The offshore wind farm energy storage configuration device according to claim 7, wherein the obtaining of the energy storage system duration specifically is:
calculating to obtain the channel power according to the historical output data and the channel capacity;
establishing a distribution model of the daily duration of the channel passing power according to the channel passing power;
and setting a third confidence coefficient according to the distribution model of the daily duration of the channel passing power, and calculating the time length of the energy storage system according to the third confidence coefficient.
9. A mobile terminal, comprising a processor and a memory, the memory storing computer readable program code, the processor when executing the computer readable program code implementing the steps of a method of offshore wind farm energy storage configuration of any of claims 1 to 4.
10. A storage medium storing computer readable program code which when executed performs the steps of a method of offshore wind farm energy storage configuration of any of claims 1 to 4.
CN202210366014.XA 2022-04-08 2022-04-08 Energy storage configuration method and device for offshore wind farm Pending CN114696357A (en)

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