Control method for fusion of wind turbine generator and energy storage device in wind power plant

Abstract

The invention provides a control method, device and equipment for fusion of a wind turbine generator and an energy storage device in a wind power plant and a storage medium, and the method comprises the steps: obtaining an SOC value of a hybrid energy storage device and a power deviation value between the actual power and the predicted power of the wind power plant in a current control time period; the charging and discharging target total power of the hybrid energy storage device is obtained based on the power deviation value; calculating a charging and discharging participation factor corresponding to the energy storage device based on the charging and discharging target total power and the SOC value; based on the charging and discharging target total power and the charging and discharging participation factor corresponding to the energy storage device, the charging and discharging target power corresponding to the energy storage device is determined; acquiring a network-following control strategy parameter; and controlling the energy storage device based on the network-following control strategy parameters and the charging and discharging target power corresponding to the energy storage device, and controlling the wind turbine generator in each current collection line according to the optimal power operation mode. According to the invention, the problem of prediction deviation overrun of a traditional wind power prediction method can be solved.

Description

Technical Field

[0001] The present application relates to the field of wind power generation and energy storage technology, and in particular to a control method, device, equipment and storage medium for integrating a wind turbine set and an energy storage device in a wind farm. Background Art

[0002] As the global demand for clean energy increases, wind power, as a green and renewable energy, is gradually becoming an important part of the energy structure. Unlike conventional energy, wind energy has the characteristics of randomness, volatility and intermittency, and the output of wind power is unstable. With the large-scale grid connection of wind power, it will inevitably bring challenges to the dispatching and stable operation of the power grid. Therefore, accurate prediction of wind power is particularly important.

[0003] In the relevant technology, wind power prediction is mainly divided into three categories: physical method, statistical method and combined method. The physical method is based on meteorology and the working principle of wind turbines. By establishing a mathematical model, it considers physical factors such as wind speed, wind direction, temperature, air pressure, topography, and wind turbine characteristics to predict power output; the statistical method is based on the analysis and research of historical statistical data and numerical weather forecast (NWP) data, establishes a mapping relationship between NWP data and wind farm output power, and mines the laws and trends in the data for prediction; the combined method combines physical methods and statistical methods, and comprehensively utilizes the advantages of both to improve the accuracy and reliability of wind power prediction. However, regardless of the type of method, the random fluctuations inherent in wind energy itself make the predicted power still have a large deviation from the actual results, resulting in frequent fines for wind farms. Summary of the invention

[0004] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0005] In a first aspect, the present application proposes a control method for integrating wind turbines and energy storage devices in a wind farm to improve the accuracy of wind power prediction, wherein the wind farm includes at least one collector line, and each collector line is provided with a hybrid energy storage device, and the method includes: obtaining the SOC value of the hybrid energy storage device and the power deviation value between the actual power of the wind farm and the predicted power during the current control period; obtaining the target total power of charging and discharging of the hybrid energy storage device based on the power deviation value; calculating the charge and discharge participation factor corresponding to the hybrid energy storage device based on the target total power of charging and discharging and the SOC value; determining the charge and discharge target power corresponding to the hybrid energy storage device based on the target total power of charging and discharging and the charge and discharge participation factor; obtaining grid-based control strategy parameters; controlling the hybrid energy storage device based on the grid-based control strategy parameters and the charge and discharge target power corresponding to the hybrid energy storage device, and controlling the wind turbines in each of the collector lines according to the optimal power operation mode, and controlling the wind turbines in each of the collector lines according to the optimal power operation mode.

[0006] In one implementation, the hybrid energy storage device provided in each of the collecting lines includes an electrochemical energy storage device and a supercapacitor energy storage device, and the method of obtaining the target total charge and discharge power of the hybrid energy storage device based on the power deviation value includes: obtaining the historical power deviation value and the historical charge and discharge target total power corresponding to the previous historical control period adjacent to the current control period; based on the historical power deviation value and the historical charge and discharge target total power, low-pass filtering the power difference to obtain a low-frequency component value and a high-frequency component value; using the low-frequency component value as the target total charge and discharge power corresponding to the electrochemical energy storage device, and using the high-frequency component value as the target total charge and discharge power corresponding to the supercapacitor energy storage device.

[0007] In one implementation, at least one hybrid energy storage device of the energy storage type is provided in each of the collector lines, and the charge and discharge participation factor corresponding to the hybrid energy storage device is calculated based on the target total charge and discharge power and the SOC value, including: determining the charge and discharge limit coefficient type of the hybrid energy storage device based on the target total charge and discharge power; obtaining multiple thresholds corresponding to the charge and discharge limit coefficient type; obtaining the charge and discharge limit coefficient corresponding to each hybrid energy storage device based on the target threshold range to which the SOC value corresponding to each hybrid energy storage device in the multiple threshold ranges belongs; obtaining the sum of the charge and discharge limit coefficients corresponding to the hybrid energy storage devices of the same energy storage type; obtaining the ratio between the charge and discharge limit coefficient corresponding to each hybrid energy storage device and the sum of the charge and discharge limit coefficients corresponding to the collector line as the charge and discharge participation factor corresponding to each hybrid energy storage device.

[0008] In an optional implementation, the multiple thresholds include a first threshold and a second threshold, and obtaining the charge and discharge limit coefficient corresponding to the hybrid energy storage device based on the target threshold range includes at least one of the following: in response to the SOC value being less than the first threshold, using a preset first coefficient as the charge and discharge limit coefficient; in response to the SOC value being greater than or equal to the first threshold and less than a second threshold, obtaining the charge and discharge limit coefficient based on the difference between the SOC value and the boundary value of the second threshold range; in response to the SOC value being greater than or equal to the second threshold, using a preset second coefficient as the charge and discharge limit coefficient.

[0009] In one implementation, determining the charge and discharge target power corresponding to the hybrid energy storage device based on the charge and discharge target total power and the charge and discharge participation factor includes: acquiring the charge and discharge allocation power of each hybrid energy storage device based on the charge and discharge target total power and the charge and discharge participation factor corresponding to each hybrid energy storage device; in response to the charge and discharge allocation power being greater than the maximum charge and discharge power of the hybrid energy storage device, using the maximum charge and discharge power of the hybrid energy storage device as the charge and discharge target power corresponding to the hybrid energy storage device; or, in response to the charge and discharge allocation power being less than or equal to the maximum charge and discharge power of the hybrid energy storage device and greater than or equal to the maximum discharge power of the hybrid energy storage device, using the charge and discharge allocation power as the charge and discharge target power corresponding to the hybrid energy storage device; or, in response to the charge and discharge allocation power being less than the negative value of the maximum discharge power of the hybrid energy storage device, using the negative value of the maximum discharge power as the charge and discharge target power of the hybrid energy storage device.

[0010] In one implementation, the grid-based control strategy parameters include at least one of the following: grid frequency; phase angle; energy storage PCC point dq axis current control target value; inverter modulation voltage control target value.

[0011] In an optional implementation, the grid-based control strategy parameter is the dq-axis current control target value of the energy storage PCC point, and the acquisition of the grid-based control strategy parameter includes: acquiring the three-phase voltage measurement value and the three-phase current measurement value of the power grid; acquiring the second active reference value and the second reactive reference value of the power grid based on the three-phase voltage measurement value and the three-phase current measurement value of the power grid; and calculating the dq-axis current of the hybrid energy storage device PCC point based on the first active reference value, the first reactive reference value, the second active reference value and the second reactive reference value. Control target value; the grid-based control strategy parameter is the inverter modulation voltage control target value, and the acquisition of the grid-based control strategy parameter includes: acquiring the inverter output three-phase current measurement value; performing dq transformation on the inverter output three-phase current measurement value to obtain the dq axis current value; calculating the voltage value corresponding to the current loop based on proportional integration; introducing the dq axis cross-influence term to obtain the inverter dq axis voltage control target value; reversely transforming the inverter dq axis voltage control target value model dq coordinate to obtain the inverter modulation voltage control target value.

[0012] In the second aspect, the present application proposes a control device for integrating wind turbines and energy storage devices in a wind farm, wherein the wind farm includes at least one collector line, each of which is provided with a hybrid energy storage device, and the device includes: a first acquisition module, used to acquire the SOC value of the hybrid energy storage device and the power deviation value between the actual power and the predicted power of the wind farm in the current control period; a first processing module, used to acquire the target total power of charging and discharging of the hybrid energy storage device based on the power deviation value; a second processing module, used to calculate the corresponding charge and discharge participation factor of the hybrid energy storage device based on the target total power of charging and discharging and the SOC value; a third processing module, used to determine the corresponding charge and discharge target power of the hybrid energy storage device based on the target total power of charging and discharging and the charge and discharge participation factor; a second acquisition module, used to acquire grid-based control strategy parameters; a fourth processing module, used to control the hybrid energy storage device based on the grid-based control strategy parameters and the charge and discharge target power corresponding to the hybrid energy storage device, and control the wind turbines in each of the collector lines according to the optimal power operation mode.

[0013] In one implementation, the hybrid energy storage device provided in each of the collecting lines includes an electrochemical energy storage device and a supercapacitor energy storage device, and the first processing module can be used to: obtain a historical power deviation value and a historical charge and discharge target total power corresponding to a previous historical control period adjacent to the current control period; based on the historical power deviation value and the historical charge and discharge target total power, perform low-pass filtering on the power difference to obtain a low-frequency component value and a high-frequency component value; use the low-frequency component value as the charge and discharge target total power corresponding to the electrochemical energy storage device, and use the high-frequency component value as the charge and discharge target total power corresponding to the supercapacitor energy storage device.

[0014] In one implementation, each of the collector lines is provided with at least one energy storage device of the energy storage type, and the second processing module can be used to: determine the type of charge and discharge limit coefficient of the hybrid energy storage device based on the target total power of charge and discharge; obtain multiple thresholds corresponding to the type of charge and discharge limit coefficient; obtain the charge and discharge limit coefficient corresponding to each hybrid energy storage device based on the target threshold range to which the SOC value corresponding to each hybrid energy storage device in the multiple threshold ranges belongs; obtain the sum of the charge and discharge limit coefficients corresponding to the hybrid energy storage devices of the same energy storage type; obtain the ratio of the charge and discharge limit coefficient corresponding to each hybrid energy storage device to the sum of the charge and discharge limit coefficients corresponding to the collector line as the charge and discharge participation factor corresponding to each hybrid energy storage device.

[0015] In an optional implementation, the multiple thresholds include a first threshold and a second threshold, and the second processing module can be used for at least one of the following: in response to the SOC value being less than the first threshold, using a preset first coefficient as the charge and discharge limit coefficient; in response to the SOC value being greater than or equal to the first threshold and less than the second threshold, obtaining the charge and discharge limit coefficient based on the difference between the SOC value and the boundary value of the second threshold range; in response to the SOC value being greater than or equal to the second threshold, using a preset second coefficient as the charge and discharge limit coefficient.

[0016] In one implementation, the third processing module may be used to: obtain the charge and discharge allocation power of each hybrid energy storage device based on the target total charge and discharge power and the charge and discharge participation factor corresponding to each hybrid energy storage device; in response to the charge and discharge allocation power being greater than the maximum charge and discharge power of the hybrid energy storage device, use the maximum charge and discharge power of the hybrid energy storage device as the charge and discharge target power corresponding to the hybrid energy storage device; or, in response to the charge and discharge allocation power being less than or equal to the maximum charge and discharge power of the hybrid energy storage device and greater than or equal to the maximum discharge power of the hybrid energy storage device, use the charge and discharge allocation power as the charge and discharge target power corresponding to the hybrid energy storage device; or, in response to the charge and discharge allocation power being less than the negative value of the maximum discharge power of the hybrid energy storage device, use the negative value of the maximum discharge power as the charge and discharge target power of the hybrid energy storage device.

[0017] In one implementation, the grid-based control strategy parameters include at least one of the following: grid frequency; phase angle; energy storage PCC point dq axis current control target value; inverter modulation voltage control target value.

[0018] In an optional implementation, the grid-based control strategy parameter is the dq-axis current control target value of the energy storage PCC point, and the second acquisition module can be used to: obtain the three-phase voltage measurement value and the three-phase current measurement value of the power grid; obtain the second active reference value and the second reactive reference value of the power grid based on the three-phase voltage measurement value and the three-phase current measurement value of the power grid; calculate the dq-axis current control target value of the hybrid energy storage device PCC point based on the first active reference value, the first reactive reference value, the second active reference value and the second reactive reference value; the grid-based control strategy parameter is the inverter modulation voltage control target value, and the second acquisition module can be used to: obtain the three-phase current measurement value of the inverter output; perform dq transformation on the three-phase current measurement value of the inverter output to obtain the dq-axis current value; calculate the voltage value corresponding to the current loop based on proportional integration; introduce the dq-axis cross-influence term to obtain the inverter dq-axis voltage control target value; reversely transform the inverter dq-axis voltage control target value model dq coordinate to obtain the inverter modulation voltage control target value.

[0019] In a third aspect, the present application proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the control method for integrating wind turbines and energy storage devices in a wind farm as described in the first aspect.

[0020] In a fourth aspect, the present application proposes a computer-readable storage medium for storing instructions, which, when executed, enables the method described in the first aspect to be implemented.

[0021] In a fifth aspect, the present application proposes a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the control method for integrating a wind turbine set and an energy storage device in a wind farm as described in the first aspect.

[0022] The control method, device, equipment and storage medium for the integration of wind turbines and energy storage devices in a wind farm provided in the present application can obtain the target total charge and discharge power of the energy storage device in the wind farm according to the deviation value between the actual power and the predicted power of the wind farm, and obtain the corresponding charge and discharge participation factor of the energy storage device based on the target total charge and discharge power and the SOC value of the energy storage device, so as to determine the corresponding charge and discharge target power of the hybrid energy storage device based on the target total charge and discharge power and the charge and discharge participation factor, thereby controlling the hybrid energy storage device based on the grid-based control strategy and the corresponding charge and discharge target power of the energy storage device, and controlling the wind turbines in each of the collector lines according to the optimal power operation mode. It can effectively solve the problem of excessive prediction deviation caused by traditional wind power prediction methods, thereby reducing fines caused by failure to meet assessment requirements.

[0023] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0025] Figure 1 It is a flow chart of a control method for integrating a wind turbine set and an energy storage device in a wind farm provided in an embodiment of the present application;

[0026] Figure 2 This is a schematic diagram of a real-time prediction deviation of wind farm power provided in an embodiment of the present application;

[0027] Figure 3 It is a schematic diagram of a layout scheme of a collector and a hybrid energy storage device provided in an embodiment of the present application;

[0028] Figure 4 It is a flow chart of another control method for integrating a wind turbine set and an energy storage device in a wind farm provided by an embodiment of the present application;

[0029] Figure 5It is a flow chart of another control method for integrating a wind turbine set and an energy storage device in a wind farm provided by an embodiment of the present application;

[0030] Figure 6 It is a flow chart of another control method for integrating a wind turbine set and an energy storage device in a wind farm provided by an embodiment of the present application;

[0031] Figure 7 It is a schematic diagram of a calculation process of a phase-locked loop provided in an embodiment of the present application;

[0032] Figure 8 It is a schematic diagram of a network-based control strategy provided in an embodiment of the present application;

[0033] Fig. 9 It is a schematic diagram of a control process for integrating a wind turbine set and an energy storage device in a wind farm provided by an embodiment of the present application;

[0034] Fig.10 It is a structural schematic diagram of a control device for integrating a wind turbine group and an energy storage device in a wind farm provided in an embodiment of the present application;

[0035] Fig.11 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0036] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0037] The following describes a control method and device for integrating a wind turbine group and an energy storage device in a wind farm according to an embodiment of the present application with reference to the accompanying drawings.

[0038] It should be noted that, in the embodiment of the present application, the wind farm includes at least one collector line, and each of the collector lines is provided with a hybrid energy storage device.

[0039] Figure 1 1 is a flow chart of a control method for integrating a wind turbine and an energy storage device in a wind farm provided by an embodiment of the present application. Figure 1 As shown, the method may include but is not limited to the following steps:

[0040] Step S101: obtaining the SOC (State of Charge) value of the hybrid energy storage device and the power deviation value between the actual power and the predicted power of the wind farm in the current control period.

[0041] For example, 15 minutes is used as a prediction point, and there are 96 prediction points in total for the whole day. The wind farm output is segmented and controlled at intervals of 15 minutes, and there are 96 control periods in total for the whole day. The SOC value of each energy storage device in the hybrid energy storage device at the current moment, as well as the predicted power and actual power of the control period to which the current moment belongs are obtained, so as to obtain the power deviation value between the actual power and the predicted power of the wind farm in the current control period according to the predicted power and the actual power.

[0042] As an example, see Figure 2 , Figure 2 This is a schematic diagram of a wind farm power real-time prediction deviation provided by an embodiment of the present application. Figure 2 As shown in the figure, the black curve is the actual total power of the wind turbine, and there is a gray prediction box every 15 minutes. When the black curve falls within the gray box, the actual total power of the wind turbine is within the prediction deviation; when the black curve exceeds the gray box, the actual total power of the wind turbine exceeds the prediction deviation, and the part exceeding the gray box is transferred by the energy storage device through charging and discharging operations.

[0043] As an example, the power deviation value may be obtained using the following formula.

[0044]

[0045] Where P f (j) is the predicted power of the wind farm in the time period of time j, is the actual total power generated by the i-th collector wind turbine in the time period belonging to time j, and β(j) is the wind farm power prediction deviation in the control period belonging to time j.

[0046] In the embodiment of the present application, time j may be the current time.

[0047]

[0048] In the formula, It is the power deviation between the actual power and the predicted power of the wind farm.

[0049] In the embodiments of the present application, the hybrid energy storage device may include but is not limited to an electrochemical energy storage device and a supercapacitor energy storage device.

[0050] Step S102: obtaining the target total power of charging and discharging of the hybrid energy storage device based on the power deviation value.

[0051] Exemplarily, the power deviation value is used as the target total power for charging and discharging the hybrid energy storage device in the wind farm.

[0052] Step S103: Calculate and obtain the charge and discharge participation factor corresponding to the hybrid energy storage device based on the charge and discharge target total power and the SOC value.

[0053] Exemplarily, the type of charge and discharge that the hybrid energy storage device needs to perform is determined based on the target total charge and discharge power, and the power range within which each hybrid energy storage device can be charged and discharged is determined based on the SOC value of the hybrid energy storage device in each collector line, thereby obtaining the charge and discharge participation factor corresponding to the hybrid energy storage device.

[0054] Step S104: determining the charge and discharge target power corresponding to the hybrid energy storage device based on the charge and discharge target total power and the charge and discharge participation factor.

[0055] Exemplarily, the target total charge and discharge power is multiplied by the charge and discharge participation factor corresponding to each energy storage device in the hybrid energy storage device to obtain the target charge and discharge power corresponding to each energy storage device in the hybrid energy storage device.

[0056] Step S105: Obtaining grid-dependent control strategy parameters.

[0057] Among them, in an embodiment of the present application, the above-mentioned grid-based control strategy parameters include at least one of the following: grid frequency; phase angle; energy storage PCC (Point of Common Coupling, common connection point) point dq axis current control target value; inverter modulation voltage control target value.

[0058] Step S106: Based on the grid-based control strategy parameters and the charging and discharging target power corresponding to the hybrid energy storage device, the hybrid energy storage device is controlled, and the wind turbines in each collector line are controlled according to the optimal power operation mode.

[0059] Exemplarily, based on the grid-based control strategy parameters and the charging and discharging target power corresponding to each type of energy storage device in the hybrid energy storage device, each type of energy storage device in the hybrid energy storage device arranged in each collector line is controlled respectively, and the wind turbines in each collector line are controlled according to the optimal power operation mode.

[0060] By implementing the embodiments of the present application, the target total power of the energy storage device in the wind farm can be obtained according to the deviation value between the actual power of the wind farm and the predicted power, and the corresponding charge and discharge participation factor of the energy storage device can be obtained based on the target total power and the SOC value of the energy storage device, so as to determine the target charge and discharge power corresponding to the hybrid energy storage device based on the target total power and the charge and discharge participation factor, so as to control the hybrid energy storage device based on the grid-based control strategy and the target charge and discharge power corresponding to the energy storage device, and control the wind turbines in each collector line according to the optimal power operation mode. It can effectively solve the problem of excessive prediction deviation of the traditional wind power prediction method, thereby reducing the fines caused by failure to meet the assessment requirements.

[0061] In one implementation, the hybrid energy storage device provided in each collector line includes an electrochemical energy storage device and a supercapacitor energy storage device. As an example, see Figure 3 , Figure 3 Schematic diagram of a layout scheme of a collector and a hybrid energy storage device provided in an embodiment of the present application. Figure 3 As shown, the wind turbine mainly includes a power generation system 1, a converter 2 and a box transformer 3. The hybrid energy storage device includes an electrochemical energy storage device 4 and a supercapacitor energy storage device 5. The electrochemical energy storage device 4 includes a battery system 4-1, an inverter 4-2 and a circuit breaker 4-3. The supercapacitor energy storage device 5 includes a supercapacitor 5-1, an inverter 5-2 and a circuit breaker 5-3. Each collector line is connected to the 866kV AC bus of the booster station through a circuit breaker 7, and then the voltage is increased to 220kV through a booster transformer 9 and then connected to the grid. The power deviation value can be processed to obtain the total target charging and discharging power of each energy storage device. As an example, see Figure 4 , Figure 4 FIG. 1 is a flow chart of another control method for integrating wind turbines and energy storage devices in a wind farm provided by an embodiment of the present application. Figure 4 As shown, the method may include but is not limited to the following steps:

[0062] Step S401: obtaining the SOC value of the hybrid energy storage device and the power deviation value between the actual power and the predicted power of the wind farm in the current control period.

[0063] In the embodiments of the present application, step S401 can be implemented by any of the methods in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0064] Step S402: Obtain the historical power deviation value and the historical charging and discharging target total power corresponding to the previous historical control period adjacent to the current control period.

[0065] Step S403: Based on the historical power deviation value and the historical charge and discharge target total power, the power difference value is low-pass filtered to obtain a low-frequency component value and a high-frequency component value.

[0066] The low-pass filter can be expressed as:

[0067]

[0068] s=σ+jω

[0069] Wherein, s is the Laplace operator, s is a complex number, σ is the real part, ω is the imaginary part, and τ is the time constant.

[0070] The high-frequency signal obtained by filtering with the above low-pass filter can be expressed as:

[0071]

[0072] in, is the high frequency signal obtained by filtering, is the power deviation value.

[0073] The low-frequency signal obtained by filtering can be expressed as:

[0074]

[0075] in, is the low-frequency signal obtained by filtering, is the power deviation value.

[0076] It should be noted that for a continuous-time system, after first-order low-pass filtering, the relationship between output and input can be expressed as:

[0077]

[0078] In the formula, R(t) is the input variable, and C(T) is the output variable, that is, the variable after the input is low-pass filtered and output.

[0079] Performing Laplace transform on the above equation, we can get:

[0080]

[0081] Converting the above formula into frequency domain yields:

[0082]

[0083] Then perform z-transformation on the above equation to convert the continuous system into a discrete system. Substituting into the following formula:

[0084]

[0085] Where T is the iteration step, which is also the calculation step. For example, if the data is updated every 1s, T = 1s; R(z) is the input signal of this time step (i.e., the current control period), r(Z)z -1 is the input signal of the previous time step, c(Z)z -1 is the output signal of the previous time step, and C(z) is the output signal of the current time step. Therefore, the power difference can be low-pass filtered based on the power deviation value of the current control period, the historical power deviation value of the previous historical control period, and the historical charging and discharging target total power.

[0086] Step S404: using the low-frequency component value as the target total charge and discharge power corresponding to the electrochemical energy storage device, and using the high-frequency component value as the target total charge and discharge power corresponding to the supercapacitor energy storage device.

[0087] Step S405: Calculate and obtain the charge and discharge participation factor corresponding to the hybrid energy storage device based on the charge and discharge target total power and the SOC value.

[0088] In the embodiments of the present application, step S405 can be implemented in any of the ways in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0089] Step S406: Determine the charge and discharge target power corresponding to the hybrid energy storage device based on the charge and discharge target total power and the charge and discharge participation factor.

[0090] In the embodiments of the present application, step S406 can be implemented in any of the ways in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0091] Step S407: Obtaining network-dependent control strategy parameters.

[0092] In the embodiments of the present application, step S407 can be implemented by any of the methods in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0093] Step S408: Based on the grid-based control strategy parameters and the charging and discharging target power corresponding to the hybrid energy storage device, the hybrid energy storage device is controlled, and the wind turbines in each collector line are controlled according to the optimal power operation mode.

[0094] In the embodiments of the present application, step S408 can be implemented in any of the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0095] By implementing the embodiments of the present application, the total target power of charging and discharging of different types of energy storage devices in the wind farm can be obtained based on the power deviation value between the actual power of the wind farm and the predicted power. The target power of charging and discharging corresponding to the hybrid energy storage device is determined based on the target total power of charging and discharging and the charging and discharging participation factor, so that the hybrid energy storage device is controlled based on the grid-based control strategy and the target power of charging and discharging corresponding to the energy storage device, and the wind turbines in each collector line are controlled according to the optimal power operation mode. It can effectively solve the problem of excessive prediction deviation of traditional wind power prediction methods, thereby reducing fines caused by failure to meet assessment requirements.

[0096] In one implementation, the charge and discharge participation factor corresponding to the hybrid energy storage device can be calculated based on the charge and discharge target total power and SOC value. As an example, see Figure 5 , Figure 5 FIG. 1 is a flow chart of another control method for integrating a wind turbine and an energy storage device in a wind farm provided by an embodiment of the present application. Figure 5 As shown, the method may include but is not limited to the following steps:

[0097] Step S501: obtaining the SOC value of the hybrid energy storage device and the power deviation value between the actual power and the predicted power of the wind farm in the current control period.

[0098] In the embodiments of the present application, step S501 can be implemented by any of the methods in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0099] Step S502: obtaining the target total charging and discharging power of the hybrid energy storage device based on the power deviation value.

[0100] In the embodiments of the present application, step S502 can be implemented by any of the methods in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0101] Step S503: determining the type of charge and discharge restriction coefficient of the hybrid energy storage device based on the target total charge and discharge power.

[0102] Exemplarily, when the target total power of charging and discharging is positive, it is determined that the type of the charging and discharging restriction coefficient of the hybrid energy storage device is a discharge coefficient.

[0103] Exemplarily, when the target total power of charging and discharging is negative, it is determined that the type of the charging and discharging restriction coefficient of the hybrid energy storage device is a charging coefficient.

[0104] Step S504: obtaining multiple threshold ranges corresponding to the charge and discharge limit coefficient types.

[0105] In the embodiments of the present application, step S504 can be implemented in any of the ways in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0106] Step S505: based on the target threshold range to which the SOC value corresponding to each hybrid energy storage device in the multiple threshold ranges belongs, obtaining the charge and discharge limit coefficient corresponding to each hybrid energy storage device.

[0107] Exemplarily, a corresponding charge and discharge limit coefficient is pre-configured for each threshold range, so as to obtain the charge and discharge limit coefficient corresponding to the target threshold range to which the SOC of each energy storage device in the hybrid energy storage device belongs, as the charge and discharge limit coefficient corresponding to each hybrid energy storage device.

[0108] In an optional implementation, the multiple thresholds include a first threshold and a second threshold, and the charge and discharge limit coefficient corresponding to the hybrid energy storage device is obtained based on the target threshold range, including at least one of the following: in response to the SOC value being less than the first threshold, using the preset first coefficient as the charge and discharge limit coefficient; in response to the SOC value being greater than or equal to the first threshold and less than the second threshold, based on the difference between the SOC value and the boundary value of the second threshold range, obtaining the charge and discharge limit coefficient; in response to the SOC value being greater than or equal to the second threshold, using the preset second coefficient as the charge and discharge limit coefficient.

[0109] Exemplarily, taking the electrochemical energy storage device in the hybrid energy storage device as an example, the first threshold value may be 0.1, the second threshold value may be 0.2, and the charge and discharge limit coefficient corresponding to the electrochemical energy storage device may be obtained based on the following formula.

[0110]

[0111] In the formula, K B_d,i is the discharge coefficient of the electrochemical energy storage device, when The discharge coefficient used for timing; K B_c,i is the charge coefficient of the electrochemical energy storage device, when When it is negative, the charging coefficient is used, SOC B,i is the SOC value of the electrochemical energy storage device on the i-th collector.

[0112] Exemplarily, taking the supercapacitor energy storage device in the hybrid energy storage device as an example, the first threshold value may be 0.1, the second threshold value may be 0.2, and the charge and discharge limit coefficient corresponding to the supercapacitor energy storage device may be obtained based on the following formula.

[0113]

[0114] In the formula, K S_d,i is the discharge coefficient of the supercapacitor energy storage device, when The discharge coefficient used for timing; K S_c,i is the charging coefficient of the supercapacitor energy storage device, when When it is negative, the charging coefficient is used, SOC S,i is the SOC value of the supercapacitor energy storage device on the i-th collector line.

[0115] Step S506: Obtain the sum of the charge and discharge limit coefficients corresponding to the hybrid energy storage devices of the same energy storage type.

[0116] Exemplarily, the sum of the charge and discharge limit coefficients corresponding to the electrochemical energy storage device on each collector line is obtained.

[0117] Exemplarily, the sum of the charge and discharge limit coefficients corresponding to the supercapacitor energy storage device on each collector line is obtained.

[0118] Step S507: obtaining a ratio of the charge and discharge limit coefficient corresponding to each hybrid energy storage device to the sum of the charge and discharge limit coefficients corresponding to the collector line as a charge and discharge participation factor corresponding to each hybrid energy storage device.

[0119] For example, taking the electrochemical energy storage device in the hybrid energy storage device as an example, the acquisition process of the above-mentioned charge and discharge participation factor can be expressed as follows:

[0120]

[0121] Among them, PF B,i is the charge and discharge participation factor of the electrochemical energy storage device on the first collector line, K B,i is the charge and discharge limit coefficient of the electrochemical energy storage device on the i-th collector.

[0122] For example, taking a supercapacitor energy storage device in a hybrid energy storage device as an example, the acquisition process of the above-mentioned charge and discharge participation factor can be expressed as follows:

[0123]

[0124] Among them, PF S,i is the charge and discharge participation factor of the supercapacitor energy storage device on the i-th collector line, K S,i is the charge and discharge limit coefficient of the supercapacitor energy storage device on the i-th collector line.

[0125] Step S508: Determine the target charge and discharge power corresponding to the hybrid energy storage device based on the target total charge and discharge power and the charge and discharge participation factor.

[0126] In the embodiments of the present application, step S508 can be implemented in any of the ways in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0127] Step S509: Obtaining network-dependent control strategy parameters.

[0128] In the embodiments of the present application, step S509 can be implemented by any of the methods in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0129] Step S5010: Based on the grid-based control strategy parameters and the charging and discharging target power corresponding to the hybrid energy storage device, the hybrid energy storage device is controlled, and the wind turbines in each collector line are controlled according to the optimal power operation mode.

[0130] In the embodiments of the present application, step S5010 can be implemented in any of the ways in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0131] By implementing the embodiments of the present application, the corresponding threshold value can be determined based on the charge and discharge type of the energy storage device, and the charge and discharge limit coefficient of the energy storage device can be determined based on the SOC value of the energy storage device and the above threshold value, thereby obtaining the corresponding charge and discharge participation factor of the energy storage device. Different energy storage devices can be controlled in a targeted manner, thereby improving the safety and operating efficiency of the energy storage device.

[0132] In one implementation, the initial target power of the energy storage device can be determined based on the target total power of the energy storage device and the charge and discharge participation factor, and the target power of the hybrid energy storage device can be obtained based on the rated power of the energy storage device. Figure 6 , Figure 6 FIG. 1 is a flow chart of another control method for integrating a wind turbine and an energy storage device in a wind farm provided by an embodiment of the present application. Figure 6 As shown, the method may include but is not limited to the following steps:

[0133] Step S601: Acquire the SOC value of the hybrid energy storage device and the power deviation value between the actual power and the predicted power of the wind farm in the current control period.

[0134] In the embodiments of the present application, step S601 can be implemented in any of the ways in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0135] Step S602: obtaining the target total charging and discharging power of the hybrid energy storage device based on the power deviation value.

[0136] In the embodiments of the present application, step S602 can be implemented in any of the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0137] Step S603: Calculate and obtain the charge and discharge participation factor corresponding to the hybrid energy storage device based on the charge and discharge target total power and the SOC value.

[0138] In the embodiments of the present application, step S603 can be implemented by any of the methods in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0139] Step S604: based on the target total charge and discharge power and the charge and discharge participation factor corresponding to each hybrid energy storage device, the charge and discharge allocation power of each hybrid energy storage device is obtained.

[0140] For example, taking the electrochemical energy storage device in the hybrid energy storage device as an example, the following formula can be used to calculate the charge and discharge distribution power of each electrochemical energy storage device based on the charge and discharge target total power and charge and discharge participation factor corresponding to each electrochemical energy storage device.

[0141]

[0142] Among them, P B,i (j) allocating power for charging and discharging the electrochemical energy storage device on the i-th collector line, is the total target power of charge and discharge of the electrochemical energy storage device, PF B,i is the charge and discharge participation factor of the electrochemical energy storage device on the i-th collector.

[0143] Exemplarily, taking the supercapacitor energy storage device in the hybrid energy storage device as an example, the following formula can be used to calculate the charge and discharge distribution power of each supercapacitor energy storage device based on the charge and discharge target total power and charge and discharge participation factor corresponding to each supercapacitor energy storage device.

[0144]

[0145] Among them, P S,i (j) allocates power for charging and discharging the supercapacitor energy storage device on the i-th collector line, is the total target power of charging and discharging of the supercapacitor energy storage device, PF S,i is the charging and discharging participation factor of the supercapacitor energy storage device on the Ith collector line.

[0146] Step S605: In response to the charge and discharge allocation power being greater than the maximum charge and discharge power of the hybrid energy storage device, the maximum charge and discharge power of the hybrid energy storage device is used as the charge and discharge target power corresponding to the hybrid energy storage device; or, in response to the charge and discharge allocation power being less than or equal to the maximum charge and discharge power of the hybrid energy storage device and greater than or equal to the maximum discharge power of the hybrid energy storage device, the charge and discharge allocation power is used as the charge and discharge target power corresponding to the hybrid energy storage device; or, in response to the charge and discharge allocation power being less than the negative value of the maximum discharge power of the hybrid energy storage device, the negative value of the maximum discharge power is used as the charge and discharge target power of the hybrid energy storage device.

[0147] As an example, in response to the charge and discharge allocation power corresponding to the energy storage device being greater than the maximum charge and discharge power of the energy storage device itself, the maximum charge and discharge power of the energy storage device itself is used as the charge and discharge target power of the energy storage device.

[0148] As an example, in response to the charge and discharge allocation power corresponding to the energy storage device being less than or equal to the maximum charge and discharge power of the energy storage device, and greater than or equal to the maximum discharge power of the energy storage device, the charge and discharge allocation power corresponding to the energy storage device is used as the charge and discharge target power of the energy storage device.

[0149] As an example, in response to the charging and discharging allocation power corresponding to the energy storage device being less than the maximum discharge power of the energy storage device itself, the maximum discharge power of the energy storage device itself is used as the charging and discharging target power of the energy storage device.

[0150] Exemplarily, taking the electrochemical energy storage device in the hybrid energy storage device as an example, the process of acquiring the charging and discharging target power can be expressed as follows.

[0151]

[0152] In the formula, is the target power for charging and discharging the electrochemical energy storage device on the i-th line.

[0153] Exemplarily, taking a supercapacitor energy storage device in a hybrid energy storage device as an example, the process of acquiring the charging and discharging target power can be expressed as follows.

[0154]

[0155] In the formula, is the target power for charging and discharging the supercapacitor energy storage device on the i-th line.

[0156] Step S606: Obtaining network-dependent control strategy parameters.

[0157] In the embodiments of the present application, step S606 can be implemented in any of the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0158] Step S607: Based on the grid-based control strategy parameters and the charging and discharging target power corresponding to the hybrid energy storage device, the hybrid energy storage device is controlled, and the wind turbines in each collector line are controlled according to the optimal power operation mode.

[0159] In the embodiments of the present application, step S607 can be implemented by any of the methods in the embodiments of the present application, and the embodiments of the present application do not limit this and will not be described in detail.

[0160] By implementing the embodiments of the present application, the charge and discharge distribution power of each hybrid energy storage device can be obtained based on the target total charge and discharge power and the charge and discharge participation factor corresponding to each hybrid energy storage device, and then the charge and discharge target power of the energy storage device can be determined based on the charge and discharge distribution power of each hybrid energy storage device and the rated power of the energy storage device itself. The energy storage device can be controlled in a targeted manner to improve the safety and operation efficiency of the energy storage device.

[0161] In some embodiments, a phase-locked loop method can be used to calculate the frequency and phase angle of the power grid. As an example, see Figure 7 , Figure 7 Schematic diagram of a calculation process of a phase-locked loop provided in an embodiment of the present application. Figure 7 As shown, first set the initial phase to θ, perform dq coordinate conversion on the set initial phase θ, and calculate the grid voltage u od and u oq The value can be expressed as follows:

[0162]

[0163] will u oq Substituting the proportional integral calculation formula to calculate the grid frequency, it can be expressed as follows:

[0164]

[0165] Integrate ω to calculate the grid phase angle, which can be expressed as follows:

[0166]

[0167] If u oq If the phase angle is significantly different from 0, the calculated phase angle is substituted into the above formula for calculation until u oq Close to 0, the frequency and phase angle calculated by this matter are taken as the final grid frequency and grid phase angle.

[0168] In some embodiments, the grid-based control strategy parameter is the energy storage PCC point dq axis current control target value, and the above-mentioned acquisition of the grid-based control strategy parameter may include the following steps:

[0169] A1: Obtain the first three-phase voltage measurement value and three-phase current measurement value of the power grid.

[0170] A2: Obtaining a second active power reference value and a second active power reference value of the power grid based on the three-phase voltage measurement values ​​and the three-phase current measurement values.

[0171] Exemplarily, the three-phase voltage measurement value and the three-phase current measurement value of the power grid are converted by dq coordinate conversion and then inserted into the following formula to calculate the second active power reference value P of the power grid: B / S,i and the second active reference value Q B / S,i .

[0172]

[0173] Among them, u od 、u oq is the voltage value obtained by converting the three-phase voltage measurement value of the power grid into dq coordinates, i d 、i q It is the current value obtained by converting the three-phase current measurement value of the power grid into dq coordinates.

[0174] A3: Based on the first active reference value, the first reactive reference value, the second active reference value and the second reactive reference value, the dq-axis current control target value of the hybrid energy storage device PCC point is calculated.

[0175] Exemplarily, the first active reference value The first reactive power reference value The second active reference value P B / S,i and the second active reference value Q B / S,i Substitute into the PI (proportional integral) formula to calculate the dq axis current control target value of the energy storage PCC point and Specifically, it can be expressed as follows:

[0176]

[0177] In some embodiments, the grid-based control strategy parameter is an inverter modulation voltage control target value, and obtaining the grid-based control strategy parameter includes:

[0178] B1: Get the three-phase current measurement value of the inverter output.

[0179] B2: Perform dq transformation on the three-phase current measurement value output by the inverter to obtain the dq axis current value.

[0180] B3: Based on the voltage value corresponding to the current loop calculated through proportional integration.

[0181] Exemplarily, the above process can be expressed as follows:

[0182]

[0183] Among them, u id and u iq is the voltage value corresponding to the current loop.

[0184] B4: Introduce the dq axis cross influence term to obtain the inverter dq axis voltage control target value.

[0185] Exemplarily, the above process can be expressed as follows:

[0186]

[0187] in, and is the inverter dq axis voltage control target value, u od 、u oq is the voltage value obtained by converting the three-phase voltage measurement value of the power grid into dq coordinates, ωL f i q and ωL f i d It is the cross-influence term of dq axis.

[0188] B5: Inversely transform the inverter dq axis voltage control target value into the dq coordinates to obtain the inverter modulation voltage control target value.

[0189] Exemplarily, the above process can be expressed as follows:

[0190]

[0191] Among them, T dq-abc for, Modulate the voltage control target value for the inverter.

[0192] As an example, see Figure 8 , Figure 8 Schematic diagram of a network-based control strategy provided by an embodiment of the present application. Figure 8As shown, it mainly includes a phase-locked loop phase angle calculation module 10, a current outer loop calculation module 11 and a current inner loop calculation module 12. The input of the phase-locked loop phase angle calculation module 10 is the three-phase voltage measured by the power grid, and the output is the power grid frequency and phase angle. The current outer loop calculation module 11 includes a power calculation module 11-1 and a proportional integral calculation module 11-2. The input of the current outer loop calculation module 11 is the three-phase voltage measured by the power grid, the three-phase current output by the energy storage, the active reference value and the reactive reference value, and the output is the dq axis current control target value idq* of the PCC (Point of Common Coupling) point where the energy storage device is connected to the power grid. The current inner loop calculation module 12 includes proportional integral calculation modules 12-1 and 12-2, a dq coordinate transformation module 12-3 and a dq coordinate inverse transformation module 12-4.

[0193] See also Fig. 9 , Fig. 9 Schematic diagram of a control process for integrating a wind turbine and an energy storage device in a wind farm provided by an embodiment of the present application. Fig. 9 As shown in the figure, first receive the short-term forecast data of the wind power forecast system of the wind farm, with 15 minutes as a forecast point, and a total of 96 forecast points throughout the day. The wind farm output is segmented and controlled at intervals of 15 minutes, and a total of 96 control periods are divided throughout the day. Based on the forecast data, the actual power generated by the wind farm in the current control period exceeds the deviation value of the forecast data, and the energy storage device is determined to discharge or charge according to the positive or negative deviation value.

[0194] Then pass it through a first-order low-pass filter Decomposed into low-frequency signal and high-frequency signal, the low-frequency signal corresponds to the total charge and discharge power target value of the electrochemical energy storage device The high-frequency signal corresponds to the total charging and discharging power target value of the supercapacitor energy storage device And according to the SOC of each collector electrochemical energy storage device B,i Determine the charge and discharge limit coefficient K B,i , according to the SOC of each collector supercapacitor energy storage device S,i Determine the charge and discharge limit coefficient K S,i , and calculate the charge and discharge participation factor PF based on the charge and discharge limit coefficient of each collector electrochemical energy storage device according to the preset calculation formula B,i .

[0195] Therefore, the target charge and discharge power of each collector electrochemical energy storage device is calculated according to the charge and discharge participation factor, so as to determine the total target charge and discharge power of each energy storage device in combination with the maximum charge and discharge power of each energy storage device.

[0196] Finally, a grid-following control strategy is adopted to track the target power, and the energy storage devices are controlled in combination with the total target charging and discharging power of each energy storage device, and the wind turbines in each collector line are controlled according to the optimal power operation mode.

[0197] See also Fig.10 , Fig.10 1 is a schematic diagram of the structure of a control device for integrating a wind turbine and an energy storage device in a wind farm provided in an embodiment of the present application. The wind farm includes at least one collector line, and each collector line is provided with a hybrid energy storage device. Fig.10 As shown, the device 1000 includes: a first acquisition module 1001, which is used to obtain the SOC value of the hybrid energy storage device and the power deviation value between the actual power and the predicted power of the wind farm in the current control period; a first processing module 1002, which is used to obtain the target total power of charging and discharging of the hybrid energy storage device based on the power deviation value; a second processing module 1003, which is used to calculate the corresponding charging and discharging participation factor of the hybrid energy storage device based on the target total power of charging and discharging and the SOC value; a third processing module 1004, which is used to determine the corresponding charging and discharging target power of the hybrid energy storage device based on the target total power of charging and discharging and the charging and discharging participation factor; a second acquisition module 1005, which is used to obtain the grid-based control strategy parameters; a fourth processing module 1006, which is used to control the hybrid energy storage device based on the grid-based control strategy parameters and the target power of charging and discharging corresponding to the hybrid energy storage device, and control the wind turbines in each collector line according to the optimal power operation mode.

[0198] In one implementation, the hybrid energy storage device provided in each collector line includes an electrochemical energy storage device and a supercapacitor energy storage device, and the first processing module 1002 can be used to: obtain a historical power deviation value and a historical charge and discharge target total power corresponding to a previous historical control period adjacent to a current control period; based on the historical power deviation value and the historical charge and discharge target total power, perform low-pass filtering on the power difference to obtain a low-frequency component value and a high-frequency component value; use the low-frequency component value as the charge and discharge target total power corresponding to the electrochemical energy storage device, and use the high-frequency component value as the charge and discharge target total power corresponding to the supercapacitor energy storage device.

[0199] In one implementation, at least one energy storage device of the energy storage type is provided in each collector line, and the second processing module 1003 can be used to: determine the type of charge and discharge limitation coefficient of the hybrid energy storage device based on the target total power of charge and discharge; obtain multiple thresholds corresponding to the type of charge and discharge limitation coefficient; obtain the charge and discharge limitation coefficient corresponding to each hybrid energy storage device based on the target threshold range to which the SOC value corresponding to each hybrid energy storage device in the multiple threshold ranges belongs; obtain the sum of the charge and discharge limitation coefficients corresponding to the hybrid energy storage devices of the same energy storage type; obtain the ratio value between the charge and discharge limitation coefficient corresponding to each hybrid energy storage device and the sum of the charge and discharge limitation coefficients corresponding to the collector line as the charge and discharge participation factor corresponding to each hybrid energy storage device.

[0200] In an optional implementation, the multiple thresholds include a first threshold and a second threshold, and the second processing module 1003 can be used for at least one of the following: in response to the SOC value being less than the first threshold, using the preset first coefficient as the charge and discharge limitation coefficient; in response to the SOC value being greater than or equal to the first threshold and less than the second threshold, obtaining the charge and discharge limitation coefficient based on the difference between the SOC value and the boundary value of the second threshold range; in response to the SOC value being greater than or equal to the second threshold, using the preset second coefficient as the charge and discharge limitation coefficient.

[0201] In one implementation, the third processing module 1004 may be used to: obtain the charge and discharge allocation power of each hybrid energy storage device based on the charge and discharge target total power and the charge and discharge participation factor corresponding to each hybrid energy storage device; in response to the charge and discharge allocation power being greater than the maximum charge and discharge power of the hybrid energy storage device, use the maximum charge and discharge power of the hybrid energy storage device as the charge and discharge target power corresponding to the hybrid energy storage device; or, in response to the charge and discharge allocation power being less than or equal to the maximum charge and discharge power of the hybrid energy storage device and greater than or equal to the maximum discharge power of the hybrid energy storage device, use the charge and discharge allocation power as the charge and discharge target power corresponding to the hybrid energy storage device; or, in response to the charge and discharge allocation power being less than the negative value of the maximum discharge power of the hybrid energy storage device, use the negative value of the maximum discharge power as the charge and discharge target power of the hybrid energy storage device.

[0202] In one implementation, the grid-based control strategy parameters include at least one of the following: grid frequency; phase angle; energy storage PCC point dq axis current control target value; inverter modulation voltage control target value.

[0203] In an optional implementation, the grid-based control strategy parameter is the dq-axis current control target value of the energy storage PCC point, and the second acquisition module 1005 can be used to: obtain the three-phase voltage measurement value and the three-phase current measurement value of the power grid; obtain the second active reference value and the second reactive reference value of the power grid based on the three-phase voltage measurement value and the three-phase current measurement value of the power grid; calculate the dq-axis current control target value of the hybrid energy storage device PCC point based on the first active reference value, the first reactive reference value, the second active reference value and the second reactive reference value; the grid-based control strategy parameter is the inverter modulation voltage control target value, and the second acquisition module can be used to: obtain the inverter output three-phase current measurement value; perform dq transformation on the inverter output three-phase current measurement value to obtain the dq-axis current value; calculate the voltage value corresponding to the current loop based on proportional integration; introduce the dq-axis cross-influence term to obtain the inverter dq-axis voltage control target value; reversely transform the inverter dq-axis voltage control target value model dq coordinate to obtain the inverter modulation voltage control target value.

[0204] Through the device of the embodiment of the present application, the total target power of the energy storage device in the wind farm can be obtained according to the deviation value between the actual power of the wind farm and the predicted power, and the corresponding charge and discharge participation factor of the energy storage device can be obtained based on the target total power and the SOC value of the energy storage device, so as to determine the target power of the hybrid energy storage device based on the target total power and the charge and discharge participation factor, so as to control the hybrid energy storage device based on the grid-based control strategy and the target power of the energy storage device, and control the wind turbine in each collector line according to the optimal power operation mode. It can effectively solve the problem of excessive prediction deviation of the traditional wind power prediction method, thereby reducing the fines caused by failure to meet the assessment requirements.

[0205] It should be noted that the above explanation of the control method embodiment for integrating wind turbines and energy storage devices in a wind farm is also applicable to the control device for integrating wind turbines and energy storage devices in a wind farm in this embodiment, and will not be repeated here.

[0206] In order to implement the above embodiment, the present application also proposes an electronic device. Fig.11 , Fig.11 Schematic diagram of the structure of the electronic device provided in the embodiment of the present application. Fig.11 As shown, the electronic device 1100 includes: a processor 1101, and a memory 1102 communicatively connected to the processor 1101; the memory 1102 stores computer-executable instructions; the processor 1101 executes the computer-executable instructions stored in the memory to implement the method provided in the aforementioned embodiment.

[0207] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0208] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0209] In the description of this application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in this article is merely a way to describe the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0210] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0211] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0212] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0213] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0214] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0215] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0216] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0217] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A control method for integrating a wind turbine and an energy storage device in a wind farm, characterized in that: The wind farm comprises at least one collector line, each of which is provided with a hybrid energy storage device, and the method comprises: Acquire the SOC value of the hybrid energy storage device and the power deviation value between the actual power and the predicted power of the wind farm in the current control period; Acquire a target total charging and discharging power of the hybrid energy storage device based on the power deviation value; Calculate and obtain a charge and discharge participation factor corresponding to the hybrid energy storage device based on the charge and discharge target total power and the SOC value; Determining the charge and discharge target power corresponding to the hybrid energy storage device based on the charge and discharge target total power and the charge and discharge participation factor; Obtain the parameters of the grid-based control strategy; Based on the grid-based control strategy parameters and the charging and discharging target power corresponding to the hybrid energy storage device, the hybrid energy storage device is controlled, and the wind turbine generator set in each of the collector lines is controlled according to the optimal power operation mode.

2. The method according to claim 1, characterized in that The hybrid energy storage device provided in each of the collector lines includes an electrochemical energy storage device and a supercapacitor energy storage device, and the method of obtaining the target total charge and discharge power of the hybrid energy storage device based on the power deviation value includes: Obtaining a historical power deviation value and a historical charging and discharging target total power corresponding to a previous historical control period adjacent to the current control period; Based on the historical power deviation value and the historical charge and discharge target total power, low-pass filtering is performed on the power difference value to obtain a low-frequency component value and a high-frequency component value; The low-frequency component value is used as the target total charge and discharge power corresponding to the electrochemical energy storage device, and the high-frequency component value is used as the target total charge and discharge power corresponding to the supercapacitor energy storage device.

3. The method according to claim 1, characterized in that At least one energy storage device of an energy storage type is provided in each of the collector lines, and the charging and discharging participation factor corresponding to the energy storage device is calculated based on the charging and discharging target total power and the SOC value, including: Determining a charge and discharge restriction coefficient type of the energy storage device based on the charge and discharge target total power; Acquire multiple thresholds corresponding to the charge and discharge limit coefficient type; Based on the target threshold range to which the SOC value corresponding to each of the energy storage devices in the multiple threshold ranges belongs, obtaining a charge and discharge limit coefficient corresponding to each of the energy storage devices; Obtaining the sum of the charge and discharge limit coefficients corresponding to the energy storage devices of the same energy storage type; A ratio value between a charge and discharge limit coefficient corresponding to each of the energy storage devices and the sum of the charge and discharge limit coefficients corresponding to the collector line is obtained as a charge and discharge participation factor corresponding to each of the energy storage devices.

4. The method according to claim 3, characterized in that The multiple thresholds include a first threshold and a second threshold, and the acquiring the charge and discharge limit coefficient corresponding to the hybrid energy storage device based on the target threshold range includes at least one of the following: In response to the SOC value being less than the first threshold, using a preset first coefficient as the charge and discharge limit coefficient; In response to the SOC value being greater than or equal to the first threshold and less than a second threshold, acquiring the charge and discharge restriction coefficient based on a difference between the SOC value and a boundary value of the second threshold range; In response to the SOC value being greater than or equal to the second threshold, a preset second coefficient is used as the charge and discharge restriction coefficient.

5. The method according to claim 1, characterized in that The determining the charge and discharge target power corresponding to the hybrid energy storage device based on the charge and discharge target total power and the charge and discharge participation factor includes: Based on the target total charge and discharge power and the charge and discharge participation factor corresponding to each of the hybrid energy storage devices, acquiring the charge and discharge allocation power of each of the hybrid energy storage devices; In response to the charge and discharge allocation power being greater than the maximum charge and discharge power of the hybrid energy storage device, the maximum charge and discharge power of the hybrid energy storage device is used as the charge and discharge target power corresponding to the hybrid energy storage device; or, in response to the charge and discharge allocation power being less than or equal to the maximum charge and discharge power of the hybrid energy storage device and greater than or equal to the maximum discharge power of the hybrid energy storage device, the charge and discharge allocation power is used as the charge and discharge target power corresponding to the hybrid energy storage device; or, in response to the charge and discharge allocation power being less than the negative value of the maximum discharge power of the hybrid energy storage device, the negative value of the maximum discharge power is used as the charge and discharge target power of the hybrid energy storage device.

6. The method according to claim 1, characterized in that The grid-dependent control strategy parameters include at least one of the following: Grid frequency; Phase angle; Energy storage PCC point dq axis current control target value; The inverter modulates the voltage to control the target value.

7. A control device for integrating a wind turbine and an energy storage device in a wind farm, characterized in that: The wind farm comprises at least one collector line, each of which is provided with a hybrid energy storage device, the device comprising: A first acquisition module is used to acquire the SOC value of the hybrid energy storage device and the power deviation value between the actual power and the predicted power of the wind farm in the current control period; A first processing module, configured to obtain a target total charging and discharging power of the hybrid energy storage device based on the power deviation value; A second processing module, configured to calculate a charge and discharge participation factor corresponding to the hybrid energy storage device based on the charge and discharge target total power and the SOC value; A third processing module, configured to determine a charge and discharge target power corresponding to the hybrid energy storage device based on the charge and discharge target total power and the charge and discharge participation factor; The second acquisition module is used to obtain the parameters of the grid-based control strategy; The fourth processing module is used to control the hybrid energy storage device based on the grid-based control strategy parameters and the charging and discharging target power corresponding to the hybrid energy storage device, and control the wind turbines in each of the collector lines according to the optimal power operation mode.

8. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises a computer program, which implements the method according to any one of claims 1 to 6 when being executed by a processor.

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