New energy base energy storage power configuration method and device, computer equipment and medium

Abstract

The present application relates to the technical field of power grid frequency modulation, and discloses a new energy base energy storage power configuration method and device, computer equipment and medium, the method obtains the output power change data after smoothing processing by smoothing processing the output power change data of the new energy base in the preset period, obtains the to-be-coordinated power change data based on the output power change data before and after smoothing processing, and determines the power configuration of the energy storage based on the to-be-coordinated power change data. When determining the power configuration of the energy storage, the to-be-coordinated power change in the new energy power station is considered, instead of being determined based on artificial experience, so that the energy storage power configuration result is more accurate and more scientific.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power grid frequency modulation, and particularly relates to a new energy base energy storage power configuration method and device, computer equipment and medium. BACKGROUND

[0002] The output of new energy generation systems such as wind power and photovoltaic power generation systems is intermittent and uncertain, and large-scale new energy grid connection will have a certain impact on the safe and stable operation of the power system. Configuring a certain capacity of energy storage in a new energy base can have a positive impact on new energy grid connection characteristics, can enhance the dispatching capability, improve the economic efficiency of power grid operation, improve the phenomenon of abandoned wind and light, smooth the grid-connected power fluctuation, and improve the stability of the power system. However, the existing energy storage capacity configuration scheme for new energy generation systems is generally based on human experience to configure the energy storage capacity, and the configuration of the energy storage capacity is not scientific enough, and the stability of the power system cannot be improved to a higher degree. SUMMARY

[0003] Therefore, the present application provides a new energy base energy storage power configuration method, device, computer equipment and medium to solve the problem that the existing energy storage configuration in the energy generation system is not scientific enough.

[0004] In a first aspect, the present application provides a new energy base energy storage power configuration method, which obtains first output power change data of a new energy base in a preset time period; performs smoothing processing on the first output power change data to obtain second output power change data of the new energy base in the preset time period; determines to-be-coordinated power change data based on the first output power change data and the second output power change data; and determines an energy storage power configuration result based on the to-be-coordinated power change data.

[0005] The new energy base energy storage power configuration method provided by the present application performs smoothing processing on the output power change data of the new energy base in the preset time period to obtain the smoothed output power change data, obtains to-be-coordinated power change data based on the output power change data before and after smoothing processing, and determines the power configuration of the energy storage based on the to-be-coordinated power change data. In determining the power configuration of the energy storage, the to-be-coordinated power change in the new energy power station is considered, rather than being determined based on human experience, so that the energy storage power configuration result is more accurate and more scientific.

[0006] In an optional embodiment, the method further comprises: obtaining a total rated power of the generator set in the new energy base; inputting the total rated power and the energy storage power configuration result into a pre-constructed equivalent inertia time constant calculation model to obtain an equivalent inertia time constant of the energy storage, the equivalent inertia time constant calculation model being used to represent a correlation between the energy storage power configuration and the equivalent inertia time constant, and the equivalent inertia time constant being used to represent a power regulation capability of the energy storage; and evaluating the power regulation capability of the energy storage based on the equivalent virtual inertia time constant of the energy storage to obtain an evaluation result of the power regulation capability of the energy storage.

[0007] The method provided by the optional embodiment quantitatively evaluates the equivalent power regulation capability of the energy storage based on the equivalent time constant of the energy storage, and can effectively determine the stable regulation capability of the energy storage for the new energy base based on the evaluation result, which is beneficial to the frequency stability of the new energy grid-connected system.

[0008] In an optional embodiment, the method further comprises:

[0009] The energy storage power configuration result is corrected based on the equivalent virtual inertia time constant of the energy storage to obtain a corrected power configuration result.

[0010] In an optional embodiment, the equivalent inertia time constant calculation model is:

[0011]

[0012] wherein ΔE is a maximum energy that can be released by the rotor inertia of the generator, S N is a rated power combination output by the new energy base, P ESS_N is an energy storage power configuration value, ΔT is a frequency response time, and H ESS is an equivalent inertia time constant.

[0013] In an optional embodiment, the step of determining the energy storage power configuration result based on the to-be-coordinated power change data comprises: analyzing the to-be-coordinated power change data to determine a to-be-coordinated power value with the largest value in the to-be-coordinated power change data; and determining the energy storage power configuration result based on the to-be-coordinated power value with the largest value in the to-be-coordinated power change data.

[0014] The method provided by the optional embodiment determines the energy storage power configuration result based on the to-be-coordinated power value with the largest value in the to-be-coordinated power change data, which can make the energy storage power configuration value more reasonable.

[0015] In an optional embodiment, the step of analyzing the to-be-coordinated power change data to determine the to-be-coordinated power value with the largest value in the to-be-coordinated power change data comprises: correcting the to-be-coordinated power change data based on a preset rule to obtain corrected to-be-coordinated power change data; and determining the to-be-coordinated power value with the largest value in the corrected to-be-coordinated power change data as the to-be-coordinated power value with the largest value in the to-be-coordinated power change data.

[0016] The method provided by the optional embodiment is beneficial to obtaining the power configuration result of the energy storage more accurately and reasonably by correcting the to-be-coordinated power change data and determining the to-be-coordinated power value with the largest value in the to-be-coordinated power change data based on the corrected data.

[0017] In an optional embodiment, the step of smoothing the first output power change data to obtain the second output power change data of the new energy base in the preset time period comprises: smoothing the first output power change data based on a first smoothing control method to obtain first smoothing result data; smoothing the first output power change data based on a second smoothing control method to obtain second smoothing result data; smoothing the first output power change data based on a third smoothing control method to obtain third smoothing result data; and determining the second output power change data based on the first smoothing result data, the second smoothing result data, and the third smoothing result data.

[0018] In a second aspect, the present application provides a new energy base output power configuration device, which comprises: an acquisition module configured to acquire first output power change data of a new energy base in a preset time period; a first processing module configured to smooth the first output power change data to obtain second output power change data of the new energy base in the preset time period; a first determining module configured to determine to-be-coordinated power change data based on the first output power change data and the second output power change data; and a second determining module configured to determine an energy storage power configuration result based on the to-be-coordinated power change data.

[0019] As an optional embodiment of the present application, the device further comprises: a second acquisition module configured to acquire total rated power of a generator set in the new energy base; a calculation module configured to input the total rated power and the energy storage power configuration result into a pre-constructed equivalent inertia time constant calculation model to calculate an equivalent inertia time constant of the energy storage, the equivalent inertia time constant calculation model being configured to represent a correlation between the energy storage power configuration and the equivalent inertia time constant, and the equivalent inertia time constant being configured to represent a power regulation capability of the energy storage; and an evaluation module configured to evaluate the power regulation capability of the energy storage based on the equivalent virtual inertia time constant of the energy storage to obtain a power regulation capability evaluation result of the energy storage.

[0020] As an optional implementation of the present application, the device further comprises a correction module configured to correct the energy storage power configuration result based on an equivalent virtual inertia time constant of the energy storage to obtain a corrected power configuration result.

[0021] As an optional implementation of the present application, the equivalent inertia time constant calculation model is:

[0022]

[0023] wherein ΔE is the maximum energy that can be released by the inertia of the generator rotor, S N is a combination of the rated power output by the new energy base, P ESS_N is the energy storage power configuration value, ΔT is the frequency response time, H ESS is the equivalent inertia time constant.

[0024] As an optional implementation of the present application, the second determination module comprises an analysis submodule configured to analyze the to-be-coordinated power change data to determine the to-be-coordinated power value with the largest value in the to-be-coordinated power change data; and a determination submodule configured to determine the energy storage power configuration result based on the to-be-coordinated power value with the largest value in the to-be-coordinated power change data.

[0025] As an optional implementation of the present application, the analysis submodule comprises a correction unit configured to correct the to-be-coordinated power change data based on a preset rule to obtain corrected to-be-coordinated power change data; and a determination unit configured to determine the to-be-coordinated power value with the largest value in the corrected to-be-coordinated power change data as the to-be-coordinated power value with the largest value in the to-be-coordinated power change data.

[0026] In a third aspect, the present application provides a computer device, comprising a memory and a processor, the memory and the processor are communicatively connected with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the new energy base energy storage power configuration method of the first aspect or any of the corresponding embodiments thereof.

[0027] In a fourth aspect, the present application provides a computer readable storage medium, which stores computer instructions, and the computer instructions are used to make the computer execute the new energy base energy storage power configuration method of the first aspect or any of the corresponding embodiments thereof. BRIEF DESCRIPTION OF DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the specific embodiments of the present application or the prior art, the drawings required to be used in the specific embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0029] Figure 1 is a flowchart of a new energy base energy storage power configuration method according to an embodiment of the present application;

[0030] Figure 2A is a schematic diagram of first output power change data according to an embodiment of the present application;

[0031] Figure 2B is a schematic diagram of another first output power change data according to an embodiment of the present application;

[0032] Figure 2C is a schematic diagram of still another first output power change data according to an embodiment of the present application;

[0033] Figure 3 is a schematic diagram of energy storage charge and discharge energy in an embodiment of the present application;

[0034] Figure 4 is a flowchart of still another new energy base energy storage power configuration method according to an embodiment of the present application;

[0035] Figure 5 is a flowchart of another new energy base energy storage power configuration method according to an embodiment of the present application;

[0036] Figure 6 is a flowchart of still another new energy base energy storage power configuration method according to an embodiment of the present application;

[0037] Figure 7 is a final charge and discharge amount change schematic diagram of energy storage power smoothing function obtained after adjustment in an embodiment of the present application;

[0038] Figure 8 is a flowchart of still another new energy base energy storage power configuration method according to an embodiment of the present application;

[0039] Figure 9 is a structural block diagram of a new energy base energy storage power configuration device according to an embodiment of the present application;

[0040] Figure 10 is a hardware structure schematic diagram of a computer device of an embodiment of the present application. DETAILED DESCRIPTION

[0041] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] The power output of renewable energy bases is easily affected by the environment, resulting in unstable output. When connected to the power grid, this could negatively impact the safe and stable operation of the power system. Therefore, it is necessary to configure energy storage of a certain capacity to coordinate and control the power generation of renewable energy bases. However, in related technologies, energy storage capacity configuration is generally based on past experience, lacking scientific rigor and failing to adequately guarantee the stability of the power system.

[0043] In view of this, the present invention provides a method for configuring energy storage power in a new energy base, which can be applied to a processor to determine the power configuration of energy storage. The method provided by this invention determines the power configuration of energy storage by using data on changes in the power to be coordinated in the new energy base, making the energy storage power configuration results more accurate and scientific.

[0044] According to an embodiment of the present invention, a method for configuring energy storage power in a new energy base is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0045] This embodiment provides a method for configuring energy storage power in a new energy base, which can be used with the aforementioned processor. Figure 1 This is a flowchart of a new energy base energy storage power configuration method according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps:

[0046] Step S101: Obtain the first output power change data of the new energy base within a preset time period.

[0047] For example, the new energy base may include, but is not limited to, new energy power plants such as wind power and photovoltaic power plants. The preset time period can be any historical time period. In this embodiment, the first output power change information can be the power change information corresponding to the typical output process of the new energy base within the preset time period. In this embodiment, the new energy installed capacity is mainly photovoltaic power generation, and the output power change information corresponding to the typical output process in different quarters of the year, such as February, July, and December, is as follows: Figure 2A , Figure 2Band Figure 2C As shown.

[0048] Step S102: Smooth the first output power change data to obtain the second output power change data of the new energy base within a preset time period.

[0049] For example, in this application instance, the first output power change data can be smoothed using a preset smoothing algorithm. The preset smoothing algorithm may include, but is not limited to, first-order low-pass filtering, moving average, and least squares methods.

[0050] Step S103: Determine the power change data to be coordinated based on the first output power change data and the second output power change data.

[0051] For example, in this embodiment of the application, the output power data corresponding to each time point of the first output power change data can be subtracted from the output data at the corresponding time point in the second output power change data to finally obtain the power change data to be coordinated. The specific calculation process can be shown in the following formula (1). The charging and discharging energy change curves of the energy storage hardware can be as follows: Figure 3 As shown.

[0052] P ESS0_i =P out_i -P source_i (1)

[0053] Among them, P source_i P represents the total power generation capacity of wind power, photovoltaic power, and other power sources at time i in the new energy base; out_i P represents the expected total output power of the new energy base at time i after processing with the power smoothing algorithm; ESS0_i In other words, in order to achieve power smoothing, the energy storage configured in the new energy base needs to coordinate the power required at time i.

[0054] Step S104: Determine the energy storage power configuration result based on the power change data to be coordinated.

[0055] For example, in this application embodiment, the maximum charging and discharging power required for energy storage to coordinate the output power of the new energy base can be determined based on the power change data to be coordinated within a preset time period. The power configuration result of energy storage can be determined based on the determined maximum charging and discharging power, and the power configuration result of energy storage can be the rated power of energy storage.

[0056] The energy storage power configuration method for new energy bases provided in this embodiment smooths the output power variation data of the new energy base within a preset time period to obtain smoothed output power variation data. Based on the output power variation data before and after smoothing, the power variation data to be coordinated is obtained. Based on the power variation data to be coordinated, the energy storage power configuration is determined. In determining the energy storage power configuration, the power variation to be coordinated in the new energy power plant is considered, rather than being based on human experience, making the energy storage power configuration result more accurate and scientific.

[0057] This embodiment provides a method for configuring energy storage power in a new energy base, which can be used with the aforementioned processor. Figure 4 This is a flowchart of a new energy base energy storage power configuration method according to an embodiment of the present invention, such as... Figure 4 As shown, the process includes the following steps:

[0058] Step S401: Obtain the first output power change data of the new energy base within a preset time period. For details, please refer to [link to relevant documentation]. Figure 1 Step S101 of the illustrated embodiment will not be described again here.

[0059] Step S402: Smooth the first output power change data to obtain the second output power change data of the new energy base within a preset time period. For details, please refer to [link to relevant documentation]. Figure 1 Step S102 of the illustrated embodiment will not be described again here.

[0060] Step S403: Determine the power change data to be coordinated based on the first output power change data and the second output power change data. For details, please refer to [link to relevant documentation]. Figure 1 Step S103 of the illustrated embodiment will not be described again here.

[0061] Step S404: Determine the energy storage power configuration result based on the power change data to be coordinated. For details, please refer to [link to relevant documentation]. Figure 1 Step S104 of the illustrated embodiment will not be described again here.

[0062] Step S405: Obtain the total rated power of the generator sets in the new energy base.

[0063] For example, the new energy base includes multiple generator sets, and the total rated power of the generator sets is the sum of the rated power of all generator sets in the new energy base.

[0064] Step S406: Input the total rated power and energy storage power configuration results into the pre-built equivalent inertial time constant calculation model to calculate the equivalent inertial time constant of energy storage. The equivalent inertial time constant calculation model is used to characterize the correlation between energy storage power configuration and equivalent inertial time constant. The equivalent inertial time constant is used to characterize the power regulation capability of energy storage.

[0065] For example, the equivalent inertial time constant calculation model is used to characterize the relationship between energy storage power configuration and equivalent inertial time constant. Using the equivalent inertial time constant calculation model, the power regulation capability (frequency regulation capability) of energy storage to new energy base under the current power configuration conditions can be calculated.

[0066] In some alternative implementations, the equivalent inertial time constant calculation model is as follows:

[0067]

[0068] Where ΔE is the maximum energy that can be released by the rotational inertia of the generator rotor, S N The rated power combination output by the new energy base, P ESS_N Here is the energy storage power configuration value, ΔT is the frequency response time, and H is the frequency response time. ESS It is the equivalent inertial time constant.

[0069] For example, in this embodiment of the application, in order to calculate the degree of frequency stability improvement that a certain power capacity of energy storage can bring to the grid-connected system of the new energy base, the inertial time constant of the power supply system is first defined according to the frequency response characteristics of the conventional generator set as shown in the following formula (3):

[0070]

[0071] Among them, S N E represents the total rated power of the generator set. r ω0 is the kinetic energy stored in the generator rotor at rated speed; ω0 is the angular frequency of the generator at rated speed; J is the total moment of inertia of the generator rotor; and H is the inertial time constant.

[0072] The calculation process for the maximum energy ΔE that can be released by the generator rotor's moment of inertia within the safe operating frequency range of the power grid (50±0.5Hz) can be shown in the following formula (4):

[0073]

[0074] Step S407: Evaluate the power regulation capability of energy storage based on the equivalent virtual inertial time constant of energy storage, and obtain the evaluation result of the power regulation capability of energy storage.

[0075] Under the function of energy storage participating in the frequency regulation of the new energy power system, energy storage is used to simulate the generator rotor to release the same energy. Assuming that the shortest time required for the grid frequency to drop from 50.5Hz to 49.5Hz is ΔT, and the energy storage always outputs at rated power during this time, the calculation process of the total energy ΔE released by the energy storage during the entire frequency drop process can be shown in the following formula (5):

[0076] ΔE = P ESS_N ΔT (5)

[0077] By analogy with a conventional generator set, the equivalent inertia time constant exhibited by the energy storage during this process is defined as shown in Equation (2). Among them, the frequency response time ΔT of the power system is generally 7 to 15 seconds.

[0078] For a selected energy storage capacity supporting new energy, the equivalent virtual inertia time constant H contributed by the configured energy storage in the new energy grid-connected system can be calculated and determined according to the above formula. ESS This constant describes the frequency response characteristics of the generator that the energy storage can simulate: the larger the inertia time constant, the stronger the frequency regulation ability provided by the energy storage; conversely, the weaker the frequency regulation ability provided by the energy storage.

[0079] The method for configuring the energy storage power of the new energy base provided in this embodiment smooths the output power change data of the new energy base within a preset time period to obtain the smoothed output power change data, obtains the power change data to be coordinated based on the output power change data before and after smoothing, and determines the power configuration of the energy storage based on the power change data to be coordinated. When determining the power configuration of the energy storage, the power change to be coordinated in the new energy power station is considered, rather than being determined based on human experience, making the energy storage power configuration result more accurate and more scientific.

[0080] In this embodiment, a method for configuring the energy storage power of a new energy base is provided, which can be used in the above-mentioned processor. Figure 5 It is a flowchart of the method for configuring the energy storage power of the new energy base according to the embodiment of the present invention, as Figure 5 shown, and this process includes the following steps:

[0081] Step S501, obtain the first output power change data of the new energy base within a preset time period. For details, please refer to Figure 1 Step S101 of the embodiment shown, which will not be elaborated here.

[0082] Step S502, smooth the first output power change data to obtain the second output power change data of the new energy base within a preset time period. For details, please refer to Figure 1 Step S102 of the embodiment shown, which will not be elaborated here.

[0083] Step S503, determine the power change data to be coordinated based on the first output power change data and the second output power change data. For details, please refer to Figure 1 Step S103 of the embodiment shown, which will not be elaborated here.

[0084] Step S504, determine the energy storage power configuration result based on the power change data to be coordinated. For details, please refer toFigure 1 Step S104 of the illustrated embodiment will not be described again here.

[0085] Step S505: Obtain the total rated power of the generator sets in the new energy base. For details, please refer to [link to relevant documentation]. Figure 1 Step S405 of the illustrated embodiment will not be described again here.

[0086] Step S506: Input the total rated power and energy storage power configuration results into the pre-built equivalent inertial time constant calculation model to calculate the equivalent inertial time constant of the energy storage. The equivalent inertial time constant calculation model is used to characterize the correlation between the energy storage power configuration and the equivalent inertial time constant. The equivalent inertial time constant is used to characterize the power regulation capability of the energy storage. For details, please refer to... Figure 1 Step S406 of the illustrated embodiment will not be described again here.

[0087] Step S507: Evaluate the power regulation capability of energy storage based on the equivalent virtual inertial time constant of the energy storage, and obtain the evaluation result of the power regulation capability of energy storage. For details, please refer to... Figure 1 Step S407 of the illustrated embodiment will not be described again here.

[0088] Step S508: Correct the energy storage power configuration result based on the equivalent virtual inertial time constant of energy storage to obtain the corrected power configuration result.

[0089] For example, in the embodiments of this application, the equivalent inertial time constant provided by energy storage can be compared with the inertial time constant of a conventional power plant of the same scale and iteratively modified to obtain the corrected power configuration result of energy storage.

[0090] The energy storage power configuration method for new energy bases provided in this embodiment smooths the output power variation data of the new energy base within a preset time period to obtain smoothed output power variation data. Based on the output power variation data before and after smoothing, the power variation data to be coordinated is obtained. Based on the power variation data to be coordinated, the energy storage power configuration is determined. In determining the energy storage power configuration, the power variation to be coordinated in the new energy power plant is considered, rather than being based on human experience, making the energy storage power configuration result more accurate and scientific.

[0091] This embodiment provides a method for configuring energy storage power in a new energy base, which can be used with the aforementioned processor. Figure 6 This is a flowchart of a new energy base energy storage power configuration method according to an embodiment of the present invention, such as... Figure 6 As shown, the process includes the following steps:

[0092] Step S601: Obtain the first output power change data of the new energy base within a preset time period. For details, please refer to [link to relevant documentation].Figure 1 Step S101 of the illustrated embodiment will not be described again here.

[0093] Step S602: Smooth the first output power change data to obtain the second output power change data of the new energy base within a preset time period. For details, please refer to [link to relevant documentation]. Figure 1 Step S102 of the illustrated embodiment will not be described again here.

[0094] Step S603: Determine the power change data to be coordinated based on the first output power change data and the second output power change data. For details, please refer to [link to relevant documentation]. Figure 1 Step S103 of the illustrated embodiment will not be described again here.

[0095] Step S604: Determine the energy storage power configuration result based on the power change data to be coordinated. For details, please refer to [link to relevant documentation]. Figure 1 Step S104 of the illustrated embodiment will not be described again here.

[0096] Specifically, step S604 above includes:

[0097] Step S6041: Analyze the power change data to be coordinated and determine the power value to be coordinated that has the largest value among the power change data. For example, in this embodiment of the application, each power value in the power change data to be coordinated can be sorted, and the power value to be coordinated that has the largest value among the power change data to be coordinated can be determined based on the sorting result.

[0098] Step S6042: Determine the energy storage power configuration result based on the largest value of the power change data to be coordinated. For example, the energy storage power configuration result is determined based on the largest value of the power change data to be coordinated, and the specific determination rule can be shown in the following formula (6).

[0099]

[0100] Where MAX() calculates the maximum value of the elements in the set, P ESS_N The rated power of energy storage required for the new energy base.

[0101] In some optional implementations, step S6041 above includes:

[0102] Step a1: Correct the power change data to be coordinated based on preset rules to obtain the corrected power change data to be coordinated. For example, the preset rules can be the daily net charge / discharge amount of energy storage. In this embodiment, only following the principle of power smoothing, the total charging and discharging capacity of energy storage within 24 hours cannot be guaranteed to be equal, resulting in a non-zero daily net charge / discharge amount. However, in order for the energy storage device to perform power smoothing function for a long time, it is necessary to ensure that the energy of the energy storage device at the end of the day does not change significantly from the initial value. Therefore, the difference between the initial and final values ​​of the energy storage charge / discharge energy within a day is evenly distributed over 24 hours, thereby adjusting the absorbed power of the energy storage device. After adjustment, the final charge / discharge amount change of the energy storage power smoothing function can be obtained as follows: Figure 7 As shown, the energy storage control power corresponding to the curve at time i is denoted as P. ESS_i Furthermore, the power change data to be coordinated is corrected based on preset rules to obtain the corrected power change data to be coordinated.

[0103] Step a2 involves determining the largest value of the power change data to be coordinated from the corrected power change data. For example, in this embodiment, the largest value of the power change data to be coordinated is determined based on the corrected power change information.

[0104] The energy storage power configuration method for new energy bases provided in this embodiment smooths the output power variation data of the new energy base within a preset time period to obtain smoothed output power variation data. Based on the output power variation data before and after smoothing, the power variation data to be coordinated is obtained. Based on the power variation data to be coordinated, the energy storage power configuration is determined. In determining the energy storage power configuration, the power variation to be coordinated in the new energy power plant is considered, rather than being based on human experience, making the energy storage power configuration result more accurate and scientific.

[0105] This embodiment provides a method for configuring energy storage power in a new energy base, which can be used with the aforementioned processor. Figure 8 This is a flowchart of a new energy base energy storage power configuration method according to an embodiment of the present invention, such as... Figure 8 As shown, the process includes the following steps:

[0106] Step S801: Obtain the first output power change data of the new energy base within a preset time period. For details, please refer to [link to relevant documentation]. Figure 1 Step S101 of the illustrated embodiment will not be described again here.

[0107] Step S802: Smooth the first output power change data to obtain the second output power change data of the new energy base within a preset time period.

[0108] Specifically, step S802 above includes:

[0109] Step S8021: Smooth the first output power change data based on the first smoothing control method to obtain the first smoothing result data. In this embodiment, the first smoothing control method can be a first-order filtering method, such as a first-order RC circuit. The filtering effect is determined by the time constant τ. The larger the time constant τ, the lower the cutoff frequency of the filter. If the sampling interval is T... c The discretized filter difference equation is shown in equation (7) below:

[0110]

[0111] Among them, Y k Y is the output value of this filter. k-1 X is the output value of the previous filter. k This is the value sampled this time.

[0112] By changing the time constant, different filtering effects can be obtained, and the output curve can be smoothed.

[0113] Step S8022: Smooth the first output power change data based on the second smoothing control method to obtain the second smoothing result data.

[0114] For example, in this embodiment of the application, the second smoothing control method can be the moving average method, also known as the moving average method. This method calculates the average value by sequentially adding and subtracting new and old data to smooth the curve. The most significant feature of the moving average method is its simplicity; it only requires calculating the average value, making the algorithm simple and computationally inefficient. Depending on the number of data points, moving average algorithms of different orders can be used. For example, a fifth-order moving average represents the processed value of a point as the average of the current point and the next four points. The calculation formula is shown in equation (8) below:

[0115] Y i =(X i +X i+1 +X i+2 +X i+3 +X i+4 ) / 5 (8)

[0116] Among them, Y i For the i-th output value, X i Let be the i-th sampled value.

[0117] Step S8023: Smooth the first output power change data based on the third smoothing control method to obtain the third smoothing result data.

[0118] For example, in this embodiment of the application, the third smoothing control method can be the least squares method, which is also one of the commonly used methods for smoothing curves. The least squares fitting curves are divided into different orders based on the highest order of the fitted curve. By performing polynomial fitting on the data, an nth-order polynomial is used to represent the data relationship, achieving a smoothing effect. The nth-order polynomial is shown in equation (9) below:

[0119] p(x) = p1x n +p2x n-1 +...+p n x+p n+1 (9)

[0120] In Qiongzhong, p(x) represents a polynomial function, p1 to p... n+1 This represents n+1 coefficients, where x represents a single-variable input.

[0121] Step S8024: Determine the second output power change data based on the first smoothing result data, the second smoothing result data, and the third smoothing result data.

[0122] For example, in this embodiment of the application, an arithmetic mean can be calculated based on the first smoothed result data, the second smoothed result data, and the third smoothed result data, and the second output power change data can be determined based on the arithmetic mean result. According to the method proposed in this embodiment, the photovoltaic output curve is smoothed by low-pass filtering, moving average, and least squares methods, respectively. Considering the adjustment of the daily net charge and discharge of energy storage and the charge and discharge efficiency factors, the rated power requirements of energy storage corresponding to the three power smoothing methods are shown in Table 1. The table also shows the proportion of rated power of energy storage in the total installed capacity of new energy sources.

[0123] Table 1

[0124]

[0125] It can be seen that there are certain differences in the required rated power configuration of energy storage for different smooth control methods, but the overall requirement is basically about 10% of the total installed power capacity of the new energy base (which can be estimated by the average of the results calculated by these three methods).

[0126] Step S803: Determine the power change data to be coordinated based on the first output power change data and the second output power change data.

[0127] Step S804: Determine the energy storage power configuration result based on the power change data to be coordinated.

[0128] The energy storage power configuration method for new energy bases provided in this embodiment smooths the output power variation data of the new energy base within a preset time period to obtain smoothed output power variation data. Based on the output power variation data before and after smoothing, the power variation data to be coordinated is obtained. Based on the power variation data to be coordinated, the energy storage power configuration is determined. In determining the energy storage power configuration, the power variation to be coordinated in the new energy power plant is considered, rather than being based on human experience, making the energy storage power configuration result more accurate and scientific.

[0129] The following specific embodiment illustrates the energy storage power configuration method for new energy bases provided by the present invention.

[0130] Example:

[0131] right Figures 2A to 2C The typical energy storage output process shown employs low-pass filtering, moving average, and least squares methods to smooth out fluctuations in the photovoltaic output curve. Considering adjustments to the daily net charge / discharge of energy storage and charge / discharge efficiency, the rated power requirements for energy storage corresponding to these three power smoothing methods are shown in Table 1 above. The table also provides the percentage of rated energy storage power in the total installed capacity of new energy sources.

[0132] The total installed photovoltaic capacity of the new energy base can be 49MW. Assuming energy storage capacity is configured at 10% of the installed power capacity, the required total rated power of energy storage should be approximately 4.9MW. Substituting the above conditions into the equivalent virtual inertial time constant H of the energy storage... ESS The verification was performed, with the grid frequency response time ΔT taken as 10s, and the virtual inertial time constant that energy storage can provide was approximately H. ESS =22.7s. The inertial time constant of a typical steam turbine generator set is 8–16s, while that of a hydro turbine generator set is 4–8s; the inertial time constant of a synchronous condenser is 2–4s. Based on the reference range of the inertial time constant of conventional generator sets, it can be seen that this energy storage belongs to a power system with high inertia, which can significantly improve the frequency stability of the new energy grid-connected system.

[0133] This embodiment also provides a new energy base energy storage power configuration device, which is used to implement the above embodiments and preferred embodiments, and will not be repeated as already described. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0134] This embodiment provides a new energy base energy storage power configuration device, such as... Figure 9 As shown, it includes:

[0135] The acquisition module 901 is used to acquire the first output power change data of the new energy base within a preset time period;

[0136] The first processing module 902 is used to smooth the first output power change data to obtain the second output power change data of the new energy base within a preset time period.

[0137] The first determining module 903 is used to determine the power change data to be coordinated based on the first output power change data and the second output power change data.

[0138] The second determining module 904 is used to determine the energy storage power configuration result based on the power change data to be coordinated.

[0139] In some alternative embodiments, the device further includes:

[0140] The second acquisition module is used to acquire the total rated power of the generator sets in the new energy base;

[0141] The calculation module is used to input the total rated power and energy storage power configuration results into the pre-built equivalent inertial time constant calculation model to calculate the equivalent inertial time constant of energy storage. The equivalent inertial time constant calculation model is used to characterize the correlation between energy storage power configuration and equivalent inertial time constant. The equivalent inertial time constant is used to characterize the power regulation capability of energy storage.

[0142] The evaluation module is used to evaluate the power regulation capability of energy storage based on the equivalent virtual inertial time constant of energy storage, and obtain the evaluation result of the power regulation capability of energy storage.

[0143] In some alternative embodiments, the device further includes:

[0144] The correction module is used to correct the energy storage power configuration result based on the equivalent virtual inertial time constant of the energy storage, so as to obtain the corrected power configuration result.

[0145] In some alternative implementations, the equivalent inertial time constant calculation model is as follows:

[0146]

[0147] Where ΔE is the maximum energy that can be released by the rotational inertia of the generator rotor, S N The rated power combination output by the new energy base, P ESS_N Here is the energy storage power configuration value, ΔT is the frequency response time, and H is the frequency response time. ESS It is the equivalent inertial time constant.

[0148] In some alternative implementations, the second determining module includes:

[0149] The analysis submodule is used to analyze the power change data to be coordinated and determine the power value with the largest value in the power change data to be coordinated.

[0150] The determination submodule is used to determine the energy storage power configuration result based on the largest value of the power to be coordinated in the power change data.

[0151] In some alternative implementations, the analysis submodule includes:

[0152] The correction unit is used to correct the power change data to be coordinated based on preset rules, so as to obtain the corrected power change data to be coordinated.

[0153] The determining unit is used to determine the largest value of the power to be coordinated in the corrected power change data as the largest value of the power to be coordinated in the power change data.

[0154] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0155] In this embodiment, the energy storage power configuration device for the new energy base is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0156] This invention also provides a computer device having the above-described features. Figure 9 The energy storage power configuration device shown is for a new energy base.

[0157] Please see Figure 10 , Figure 10 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 10As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 10 Take a processor 10 as an example.

[0158] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0159] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0160] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0161] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0162] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0163] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0164] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for configuring energy storage power in a new energy base, characterized in that, The method includes: Acquire the first output power change data of the new energy base within a preset time period; The first output power change data is smoothed to obtain the second output power change data of the new energy base within a preset time period. The power change data to be coordinated is determined based on the first output power change data and the second output power change data; The energy storage power configuration result is determined based on the power change data to be coordinated. The steps for determining the energy storage power configuration result based on the power change data to be coordinated include: Analyze the data on changes in the power to be coordinated, and determine the power value with the largest value among the data on changes in the power to be coordinated; The energy storage power configuration result is determined based on the largest value of the power change data to be coordinated. The steps for analyzing the power variation data to be coordinated and determining the largest power value to be coordinated in the data include: The power change data to be coordinated is corrected based on the daily net charge and discharge of energy storage to obtain the corrected power change data to be coordinated. The power value with the largest value among the corrected power change data to be coordinated is determined as the power value with the largest value among the power change data to be coordinated.

2. The method according to claim 1, characterized in that, The method further includes: Obtain the total rated power of generator sets in the new energy base; The total rated power and the energy storage power configuration result are input into the pre-constructed equivalent inertial time constant calculation model to calculate the equivalent inertial time constant of the energy storage. The equivalent inertial time constant calculation model is used to characterize the correlation between the energy storage power configuration and the equivalent inertial time constant. The equivalent inertial time constant is used to characterize the power regulation capability of the energy storage. The power regulation capability of the energy storage is evaluated based on the equivalent virtual inertial time constant of the energy storage, and the evaluation result of the power regulation capability of the energy storage is obtained.

3. The method according to claim 2, characterized in that, The method further includes: The energy storage power configuration result is corrected based on the equivalent virtual inertial time constant of the energy storage to obtain the corrected power configuration result.

4. The method according to claim 2, characterized in that, The equivalent inertial time constant calculation model is as follows: in, This is the maximum energy that can be released by the rotational inertia of the generator rotor. S N The rated power combination output for the new energy base P ESS_N Configured value for energy storage power. For frequency response time, H ESS It is the equivalent inertial time constant.

5. The method according to claim 1, characterized in that, The step of smoothing the first output power change data to obtain the second output power change data of the new energy base within a preset time period includes: The first output power change data is smoothed based on the first smoothing control method to obtain the first smoothing result data; The first output power change data is smoothed based on the second smoothing control method to obtain the second smoothing result data. The first output power change data is smoothed based on the third smoothing control method to obtain the third smoothing result data. The second output power change data is determined based on the first smoothing result data, the second smoothing result data, and the third smoothing result data.

6. A new energy base energy storage power configuration device, characterized in that, The device includes: The acquisition module is used to acquire the first output power change data of the new energy base within a preset time period; The first processing module is used to smooth the first output power change data to obtain the second output power change data of the new energy base within a preset time period. The first determining module is used to determine the power change data to be coordinated based on the first output power change data and the second output power change data. The second determining module is used to determine the energy storage power configuration result based on the power change data to be coordinated; The second determining module includes: The analysis submodule is used to analyze the power change data to be coordinated and determine the power value with the largest value in the power change data to be coordinated. The determination submodule is used to determine the energy storage power configuration result based on the largest value of the power to be coordinated in the power change data to be coordinated. The analysis submodule includes: The correction unit is used to correct the power change data to be coordinated based on the daily net charge and discharge of energy storage, so as to obtain the corrected power change data to be coordinated. The determining unit is used to determine the largest value of the power to be coordinated in the corrected power change data as the largest value of the power to be coordinated in the power change data.

7. The apparatus according to claim 6, characterized in that, The device further includes: The second acquisition module is used to acquire the total rated power of the generator sets in the new energy base; The calculation module is used to input the total rated power and the energy storage power configuration result into a pre-constructed equivalent inertial time constant calculation model to calculate the equivalent inertial time constant of the energy storage. The equivalent inertial time constant calculation model is used to characterize the correlation between the energy storage power configuration and the equivalent inertial time constant. The equivalent inertial time constant is used to characterize the power regulation capability of the energy storage. The evaluation module is used to evaluate the power regulation capability of the energy storage based on the equivalent virtual inertial time constant of the energy storage, and obtain the evaluation result of the power regulation capability of the energy storage.

8. The apparatus according to claim 7, characterized in that, The device further includes: The correction module is used to correct the energy storage power configuration result based on the equivalent virtual inertial time constant of the energy storage, so as to obtain the corrected power configuration result.

9. The apparatus according to claim 7, characterized in that, The equivalent inertial time constant calculation model is as follows: in, This is the maximum energy that can be released by the rotational inertia of the generator rotor. S N The rated power combination output for the new energy base P ESS_N Configured value for energy storage power. For frequency response time, H ESS It is the equivalent inertial time constant.

10. A computer device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the energy storage power configuration method for the new energy base as described in any one of claims 1 to 5.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, which are used to cause the computer to execute the new energy base energy storage power configuration method according to any one of claims 1 to 5.

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