Wind turbine generator control method and device for smoothing wind power output power

Abstract

The invention provides a wind turbine generator control method and device for smoothing wind power output power, and the method comprises the steps: obtaining the historical output power of a wind turbine generator, and determining a first charging and discharging coefficient and a second charging and discharging coefficient; determining an initial control power based on the historical output power, and determining a first maximum charge-discharge power and a second maximum charge-discharge power; based on the initial control power, the first maximum charging and discharging power and the second maximum charging and discharging power, a first target control strategy is determined, and a second target control strategy is determined; and performing control based on the first target control strategy and the second target control strategy. Therefore, through the method disclosed by the invention, the historical output power data of the wind turbine generator is integrated, and the control strategy of the energy storage system is designed and implemented in a targeted manner, so that the comprehensive performance of the whole wind power plant and the matched energy storage facilities thereof can be remarkably improved, and the control effect on the wind power plant and the robustness of the system are improved; meanwhile, control cost can be reduced and equipment life can be prolonged.

Description

Technical Field

[0001] The present disclosure relates to the technical field of wind power generation control, and in particular to a wind turbine control method and device for smoothing wind power output power. 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. Different from conventional energy (such as thermal power and hydropower), wind power has the characteristics of randomness, volatility and intermittence, 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.

[0003] To reduce the volatility of wind farm output power, the following methods can be used: (1) Reasonable planning of the location and spacing of wind turbines in the wind farm can reduce the impact of the wake effect and make the overall output power of the wind farm more stable; (2) Adopting advanced wind turbine control strategies, such as variable speed-variable pitch control, can automatically adjust the operating status of the wind turbine according to the real-time changes in wind speed, making the wind turbine output power more stable; (3) Wind power and other energy sources (such as solar energy, hydropower, etc.) form a complementary power generation system, so as to make the power output of the entire system more stable. However, no matter which of the above methods is used, there will still be a certain degree of volatility in wind power output. Summary of the invention

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

[0005] Therefore, an object of the present disclosure is to provide a wind turbine control method for smoothing wind power output power.

[0006] A second objective of the present disclosure is to provide a wind turbine control device for smoothing wind power output power.

[0007] A third objective of the present disclosure is to provide an electronic device.

[0008] A fourth object of the present disclosure is to provide a non-transitory computer-readable storage medium.

[0009] A fifth object of the present disclosure is to provide a computer program product.

[0010] To achieve the above-mentioned purpose, the first aspect of the present disclosure proposes a wind turbine control method for smoothing wind power output power, including: obtaining the historical output power of the wind turbine, and determining the first charge and discharge coefficient of the electrochemical energy storage device, and determining the second charge and discharge coefficient of the supercapacitor energy storage device; determining the initial control power based on the historical output power, and determining the first maximum charge and discharge power of the electrochemical energy storage device, and determining the second maximum charge and discharge power of the supercapacitor energy storage device; based on the initial control power, the first maximum charge and discharge power and the second maximum charge and discharge power, determining a first target control strategy from the candidate control strategies of the electrochemical energy storage device, and determining a second target control strategy from the candidate control strategies of the supercapacitor energy storage device; controlling the electrochemical energy storage device and the supercapacitor energy storage device respectively based on the first target control strategy and the second target control strategy.

[0011] According to one embodiment of the present disclosure, a target maximum charge and discharge power of a target device is determined, wherein the target device is one of the electrochemical energy storage device and the supercapacitor energy storage device, and when the target device is the electrochemical energy storage device, the target maximum charge and discharge power is the first maximum charge and discharge power, and when the target device is the supercapacitor energy storage device, the target maximum charge and discharge power is the second maximum charge and discharge power, including: obtaining a charge state value of the target device and a charge and discharge state of the target device, and obtaining a rated power of the target device; in response to the charge and discharge state being a discharge state, comparing the charge state value with a first judgment threshold and a second judgment threshold, determining a maximum discharge coefficient based on the comparison result, and calculating the maximum discharge power of the target device based on the rated power and the maximum discharge coefficient; or, in response to the charge and discharge state being a charge state, comparing the charge state value with a third judgment threshold and a fourth judgment threshold, determining a maximum charge coefficient based on the comparison result, and calculating the maximum charge power of the target device based on the rated power and the maximum charge coefficient.

[0012] According to one embodiment of the present disclosure, the determining of a first target control strategy from candidate control strategies of the electrochemical energy storage device based on the initial control power, the first maximum charge and discharge power, and the determining of a second target control strategy from candidate control strategies of the supercapacitor energy storage device, includes: obtaining the actual output power of the wind turbine; determining a first target control strategy from candidate control strategies of the electrochemical energy storage device based on the actual output power, the initial control power, the first maximum charge and discharge power, and the second maximum charge and discharge power, and determining a second target control strategy from candidate control strategies of the supercapacitor energy storage device.

[0013] According to one embodiment of the present disclosure, the determining of the first target control strategy from the candidate control strategies of the electrochemical energy storage device includes: subtracting the actual output power from the initial control power to calculate the power deviation; comparing the power deviation with a judgment threshold; in response to the power deviation being greater than or equal to the first judgment threshold and less than or equal to the second judgment threshold, determining that the first target control strategy is to keep the power smoothing output reference value unchanged for the next control period, and adjusting the current charge and discharge target power of the electrochemical energy storage device to the low-frequency component of the power deviation value; or, in response to the power deviation being greater than the second judgment threshold, calculating the target down-adjustment coefficient , and calculate the target downward adjustment value based on the target downward adjustment coefficient, determine that the first target control strategy is to adjust the power smoothing output reference value for the next control period downward to the target downward adjustment value, and adjust the current charge and discharge target power of the electrochemical energy storage device to the maximum discharge power of each electrochemical energy storage device in this period; or, in response to the power deviation being less than the first judgment threshold, calculate the target upward adjustment coefficient, and calculate the target upward adjustment value based on the target upward adjustment coefficient, determine that the first target control strategy is to adjust the power smoothing output reference value for the next control period upward to the target upward adjustment value, and adjust the current charge and discharge target power of the electrochemical energy storage device to the maximum charge power of each electrochemical energy storage device in this period.

[0014] According to one embodiment of the present disclosure, the formula for calculating the target down-adjustment coefficient is: Wherein, k1(j) is the target down-regulation coefficient of the i-th wind turbine group in the time period to which time j belongs, a is a constant function, b is the power judgment threshold, k0 is the basic coefficient of the smooth output reference power conversion, and SOC B,i is the charge state value of the electrochemical energy storage device of the i-th wind turbine group; the formula for calculating the target upward adjustment coefficient is: Wherein, k2(j) is the target upward adjustment coefficient of the i-th wind turbine group in the time period of time j, c is a constant function, d is the power judgment threshold, k0 is the basic coefficient of the smooth output reference power conversion, and SOC B,i is the charge state value of the electrochemical energy storage device of the i-th wind turbine.

[0015] According to one embodiment of the present disclosure, determining the second target control strategy from the candidate control strategies of the supercapacitor energy storage device includes: subtracting the actual output power from the initial control power to calculate a power deviation; comparing the power deviation with a judgment threshold; in response to the power deviation being greater than or equal to a third judgment threshold and less than or equal to a fourth judgment threshold, determining that the second target control strategy is to adjust the target power of charging and discharging the supercapacitor energy storage device in the next control period to a high-frequency component of the power deviation value; or, in response to the power deviation being greater than the fourth judgment threshold, determining that the second target control strategy is to adjust the target power of charging and discharging the supercapacitor energy storage device in the next control period to the maximum discharge power of each supercapacitor energy storage device in this period; or, in response to the power deviation being less than the third judgment threshold, determining that the second target control strategy is to adjust the target power of charging and discharging the supercapacitor energy storage device in the next control period to the maximum charging power of each supercapacitor energy storage device in this period.

[0016] According to an embodiment of the present disclosure, the method further includes: the wind turbine generator converter machine side is controlled by an optimal power control strategy.

[0017] To achieve the above-mentioned purpose, the second aspect of the present disclosure proposes a wind turbine control device for smoothing wind power output power, including: an acquisition module, used to acquire the historical output power of the wind turbine, and determine the first charge and discharge coefficient of the electrochemical energy storage device, and determine the second charge and discharge coefficient of the supercapacitor energy storage device; a determination module, used to determine the initial control power based on the historical output power, and determine the first maximum charge and discharge power of the electrochemical energy storage device, and determine the second maximum charge and discharge power of the supercapacitor energy storage device; a selection module, used to determine the first target control strategy from the candidate control strategies of the electrochemical energy storage device based on the initial control power, the first maximum charge and discharge power and the second maximum charge and discharge power, and determine the second target control strategy from the candidate control strategies of the supercapacitor energy storage device; a control module, used to control the electrochemical energy storage device and the supercapacitor energy storage device based on the first target control strategy and the second target control strategy, respectively.

[0018] To achieve the above-mentioned purpose, the third aspect embodiment of the present disclosure 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 to implement the wind turbine control method for smoothing wind power output power as described in the first aspect embodiment of the present disclosure.

[0019] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present disclosure proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the wind turbine control method for smoothing wind power output power as described in the first aspect embodiment of the present disclosure.

[0020] To achieve the above-mentioned purpose, the fifth aspect embodiment of the present disclosure proposes a computer program product, including a computer program, which, when executed by a processor, is used to implement the wind turbine control method for smoothing wind power output power as described in the first aspect embodiment of the present disclosure.

[0021] Therefore, by integrating the historical output power data of wind turbines through the method disclosed in the present invention and designing and implementing the control strategy of the energy storage system in a targeted manner, the comprehensive performance of the entire wind farm and its supporting energy storage facilities can be significantly improved, the control effect of the wind farm and the robustness of the system can be improved, and at the same time the control cost can be reduced and the equipment life can be prolonged. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a schematic diagram of a wind turbine control method for smoothing wind power output power according to an embodiment of the present disclosure;

[0023] Figure 2 is a schematic structural diagram of a wind farm according to an embodiment of the present disclosure;

[0024] Figure 3 is a schematic diagram of another wind turbine control method for smoothing wind power output power according to an embodiment of the present disclosure;

[0025] Figure 4 is a schematic diagram of a flow chart of determining a first target control strategy from candidate control strategies for an electrochemical energy storage device according to an embodiment of the present disclosure;

[0026] Figure 5 It is a schematic diagram of a flow chart of determining a second target control strategy from candidate control strategies of a supercapacitor energy storage device according to an embodiment of the present disclosure;

[0027] Figure 6 is a schematic diagram of an adjustment device according to one embodiment of the present disclosure;

[0028] Figure 7 This is an embodiment of the present disclosure of tracking target power through DC-DC bidirectional converter 4 / 5-2 Circuit diagram of

[0029] Figure 8 is a schematic diagram of stabilizing a DC bus voltage through current loop control according to an embodiment of the present disclosure;

[0030] Fig. 9 It is a schematic diagram of a calculation process in which the input is the three-phase voltage measured by the power grid and the output is the frequency and phase angle of the power grid according to an embodiment of the present disclosure;

[0031] Fig.10 is a schematic diagram of a wind turbine control device for smoothing wind power output power according to an embodiment of the present disclosure;

[0032] Fig.11 is a schematic diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0033] Embodiments of the present disclosure are described in detail below, examples of which 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 disclosure, and should not be construed as limiting the present disclosure.

[0034] The acquisition, storage, use, and processing of data in the technical solution disclosed in this disclosure are in compliance with the relevant provisions of relevant laws and regulations.

[0035] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be considered as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0036] Figure 1 is a schematic diagram of a wind turbine control method for smoothing wind power output power according to an embodiment of the present disclosure, such as Figure 1 As shown, the wind turbine control method for smoothing wind power output power includes the following steps:

[0037] S101, obtaining the historical output power of the wind turbine, and determining a first charge and discharge coefficient of the electrochemical energy storage device, and determining a second charge and discharge coefficient of the supercapacitor energy storage device.

[0038] The wind turbine control method for smoothing wind power output power of the embodiment of the present application can be applied to the scenario of automatic control of wind farms. The executor of the wind turbine control for smoothing wind power output power of the embodiment of the present application can be the wind turbine control device for smoothing wind power output power of the embodiment of the present application. The wind turbine control device for smoothing wind power output power can be set on an electronic device.

[0039] In the embodiments of the present disclosure, a wind farm may include polymorphic wind turbines, for example, Figure 2As shown, there are n wind turbines in the wind farm. A hybrid energy storage device is integrated into the DC bus side of the converter of each wind turbine. The overall layout of the wind turbine and its energy storage device is shown in Figure 2 , mainly composed of 1-power generation system (including impeller, rotating chain and generator), 2-converter, 3-box transformer, 4-electrochemical energy storage system, 5-supercapacitor energy storage system, etc. 2-The converter converts the electric energy generated by the wind turbine into electric energy with the same voltage, frequency and phase as the power grid through AC-DC-AC conversion, mainly including the machine-side converter 2-1, DC bus and capacitor 2-2, grid-side converter 2-3, and grid-connected circuit breaker 2-4. 3-The high-voltage side of the box transformer 35kV is connected to the wind farm collection line, and the low-voltage side 690V is connected to the converter grid-connected circuit breaker. 4-The electrochemical energy storage system is mainly composed of a battery system 4-1, a DC-DC bidirectional converter 4-2, a circuit breaker 4-3, etc. The outlet of the circuit breaker 4-3 is connected to the DC bus of the 2-2 converter. 5-The supercapacitor energy storage system is mainly composed of supercapacitor 5-1, DC-DC bidirectional converter 5-2, circuit breaker 5-3, etc. The outlet of circuit breaker 5-3 is connected to the DC bus of 2-2 converter.

[0040] It should be noted that there are many methods for obtaining the historical output power of the wind turbine, which are not limited here. For example, it can be obtained through the historical operation log of the wind turbine, or through a remote monitoring platform.

[0041] It should be noted that the first charge and discharge coefficient and the second charge and discharge coefficient represent the charge and discharge state and charge and discharge rate of the electrochemical energy storage device and the supercapacitor energy storage device. It should be noted that the charge and discharge state includes the charge state and the discharge state. The larger the charge and discharge coefficient, the larger the corresponding charge and discharge rate.

[0042] In the embodiments of the present disclosure, there are many methods for determining the first charge and discharge coefficient of the electrochemical energy storage device and the second charge and discharge coefficient of the supercapacitor energy storage device, which are not limited here. For example, the determination can be based on the current state of the electrochemical energy storage device and the charge state of the supercapacitor energy storage device, and can also be determined based on the current power consumption state.

[0043] S102, determining an initial control power based on the historical output power, determining a first maximum charge and discharge power of the electrochemical energy storage device, and determining a second maximum charge and discharge power of the supercapacitor energy storage device.

[0044] In the embodiment of the present disclosure, after the historical output power is acquired, there may be multiple methods for determining the initial control power based on the historical output power, which are not limited here.

[0045] In one possible implementation, the initial control power can be calculated by taking the average of the historical output power. For example, taking the average output power of the wind turbine in the previous 10 minutes as the initial control power, the calculation can be based on the following formula:

[0046]

[0047] in, is the power smoothing output reference value of the i-th wind turbine in the j-th time period; P W,i (jm) is the average output power of the i-th wind turbine in the jm time period, and each time period corresponds to 1 minute.

[0048] It should be noted that the first maximum charge and discharge power of the electrochemical energy storage device and the second maximum charge and discharge power of the supercapacitor energy storage device are the maximum operating powers of the electrochemical energy storage device and the supercapacitor energy storage device at the current moment. There are many methods for determining the first maximum charge and discharge power of the electrochemical energy storage device and the second maximum charge and discharge power of the supercapacitor energy storage device, which are not limited here. In one possible implementation, the calculation can be based on the following formula:

[0049] The maximum charge and discharge power of each electrochemical energy storage device is calculated based on the charge and discharge limit coefficient as follows:

[0050]

[0051] in, is the maximum discharge power of electrochemical energy storage device i in time period j, is the maximum charging power of electrochemical energy storage device i in time period j, P B,max is the rated power of the electrochemical energy storage device. The maximum charge and discharge power of each supercapacitor energy storage device is calculated according to the charge and discharge limit coefficient as follows:

[0052]

[0053] in, is the maximum discharge power of supercapacitor energy storage device i in time period j, is the maximum charging power of supercapacitor energy storage device i in time period j, P S,max is the rated power of the supercapacitor energy storage device.

[0054] S103, based on the initial control power, the first maximum charge and discharge power, and the second maximum charge and discharge power, determine a first target control strategy from candidate control strategies for the electrochemical energy storage device, and determine a second target control strategy from candidate control strategies for the supercapacitor energy storage device.

[0055] It should be noted that there are multiple candidate control strategies in the embodiment of the present disclosure, which are designed in advance and can be changed according to actual design needs, and no limitation is made here.

[0056] By designing multiple candidate control strategies, the control strategy can be flexibly changed according to the current control requirements to improve the final control effect.

[0057] S104, controlling the electrochemical energy storage device and the supercapacitor energy storage device based on the first target control strategy and the second target control strategy respectively.

[0058] In the embodiment of the present disclosure, the historical output power of the wind turbine is obtained, and the first charge and discharge coefficient of the electrochemical energy storage device is determined, and the second charge and discharge coefficient of the supercapacitor energy storage device is determined, and then the initial control power is determined based on the historical output power, and the first maximum charge and discharge power of the electrochemical energy storage device is determined, and the second maximum charge and discharge power of the supercapacitor energy storage device is determined, and then based on the initial control power, the first maximum charge and discharge power and the second maximum charge and discharge power, the first target control strategy is determined from the candidate control strategies of the electrochemical energy storage device, and the second target control strategy is determined from the candidate control strategies of the supercapacitor energy storage device, and finally the electrochemical energy storage device and the supercapacitor energy storage device are controlled respectively based on the first target control strategy and the second target control strategy. Thus, by integrating the historical output power data of the wind turbine through the method disclosed in the present disclosure, and designing and implementing the control strategy of the energy storage system in a targeted manner, the comprehensive performance of the entire wind farm and its supporting energy storage facilities can be significantly improved, the control effect of the wind farm and the robustness of the system can be improved, and the control cost can be reduced and the equipment life can be improved.

[0059] In the above embodiment, the target maximum charge and discharge power of the target device is determined, wherein the target device is one of an electrochemical energy storage device and a supercapacitor energy storage device. When the target device is an electrochemical energy storage device, the target maximum charge and discharge power is a first maximum charge and discharge power. When the target device is a supercapacitor energy storage device, the target maximum charge and discharge power is a second maximum charge and discharge power. The charge state value of the target device and the charge and discharge state of the target device can be first obtained, and the rated power of the target device can be obtained. In response to the charge and discharge state being a discharge state, the charge state value is compared with the first judgment threshold and the second judgment threshold, and the maximum discharge coefficient is determined based on the comparison result, and the maximum discharge power of the target device is calculated based on the rated power and the maximum discharge coefficient. In response to the charge and discharge state being a charge state, the charge state value is compared with the third judgment threshold and the fourth judgment threshold, and the maximum charging coefficient is determined based on the comparison result, and the maximum charging power of the target device is calculated based on the rated power and the maximum charging coefficient.

[0060] In the embodiment of the present disclosure, according to the SOC of each electrochemical energy storage deviceB,i Determine the charge and discharge limit coefficient K B,i , for example, can be expressed as follows:

[0061]

[0062] Among them, 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. It should be noted that a, b, c, d in this formula are pre-designed thresholds for judging power, and e is a constant function. a, b, c, d and e can be changed according to actual design needs, and no limitation is made here. For example, a, b, c, d and e can be 0.1, 0.2, 0.8, 0.9 and 10 respectively.

[0063] According to the SOC of each supercapacitor energy storage device S,i Determine the charge and discharge limit coefficient K S,i , which can be expressed as follows:

[0064]

[0065] Among them, 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. It should be noted that f, g, h, i in this formula are pre-designed thresholds for judging power, j is a constant function, and f, g, h, i and j can be changed according to actual design needs, without any limitation here. For example, f, g, h, i and j can be 0.1, 0.2, 0.8, 0.9 and 10 respectively.

[0066] In the above embodiment, based on the initial control power, the first maximum charge and discharge power, and the second maximum charge and discharge power, the first target control strategy is determined from the candidate control strategies of the electrochemical energy storage device, and the second target control strategy is determined from the candidate control strategies of the supercapacitor energy storage device. Figure 3 Explaining further, the method includes:

[0067] S301, obtaining the actual output power of the wind turbine generator system.

[0068] S302, based on the actual output power, the initial control power, the first maximum charge and discharge power, and the second maximum charge and discharge power, determine a first target control strategy from candidate control strategies for the electrochemical energy storage device, and determine a second target control strategy from candidate control strategies for the supercapacitor energy storage device.

[0069] In the embodiments of the present disclosure, Figure 4 As shown, the first target control strategy is determined from the candidate control strategies of the electrochemical energy storage device, the actual output power and the initial control power can be subtracted to calculate the power deviation, and then the power deviation is compared with the judgment threshold. In response to the power deviation being greater than or equal to the first judgment threshold and less than or equal to the second judgment threshold, the first target control strategy is determined to keep the power smoothing output reference value of the wind turbine set unchanged in the next control period, and adjust the current charge and discharge target power of the electrochemical energy storage device to the low-frequency component of the power deviation value, or in response to the power deviation being greater than the second judgment threshold, calculate the target down-adjustment coefficient, and based on the target down-adjustment coefficient, determine the first target control strategy to keep the power smoothing output reference value of the wind turbine set unchanged in the next control period, and adjust the current charge and discharge target power of the electrochemical energy storage device to the low-frequency component of the power deviation value. The target downward adjustment value is calculated based on the target adjustment coefficient, and it is determined that the first target control strategy is to adjust the power smoothing output reference value of the wind turbine group in the next control period downward to the target downward adjustment value, and adjust the current charge and discharge target power of the electrochemical energy storage device to the maximum discharge power of each electrochemical energy storage device in this period, or in response to the power deviation being less than the first judgment threshold, the target upward adjustment coefficient is calculated, and the target upward adjustment value is calculated based on the target upward adjustment coefficient, and it is determined that the first target control strategy is to adjust the power smoothing output reference value of the wind turbine group in the next control period upward to the target upward adjustment value, and adjust the current charge and discharge target power of the electrochemical energy storage device to the maximum charging power of each electrochemical energy storage device in this period.

[0070] It should be noted that the first judgment threshold and the second judgment threshold are critical values ​​for judging the current state of the electrochemical energy storage device. The first judgment threshold and the second judgment threshold are designed in advance and can be changed according to actual design needs. No limitation is made here.

[0071] In the embodiment of the present disclosure, the first judgment threshold is the maximum discharge power of the electrochemical energy storage device, and the second judgment threshold is the maximum charge power of the electrochemical energy storage device.

[0072] In the embodiment of the present disclosure, the formula for calculating the first judgment threshold and the second judgment threshold is:

[0073]

[0074] in, is the maximum discharge power of electrochemical energy storage device i in time period j, is the maximum charging power of electrochemical energy storage device i in time period j.

[0075] The formula for calculating the power deviation is:

[0076]

[0077] in, is the smoothed output reference power of the i-th wind turbine in the time period of time j, is the actual power generated by the i-th wind turbine in the time period of time j. Decompose into low frequency signals and high frequency signals as follows:

[0078]

[0079]

[0080] In the embodiment of the present disclosure, The power smoothing output reference value of each wind turbine and the charging and discharging of electrochemical energy storage are controlled in three states.

[0081] when , the power smoothing output reference value of the next control period remains unchanged, that is,

[0082]

[0083] The target power of each electrochemical energy storage device for charging and discharging during this control period is the low-frequency component of the power deviation value, that is,

[0084]

[0085] when When the electrochemical energy storage SOC B,i (j) Calculate its target downward adjustment coefficient.

[0086] The formula for determining the target downward adjustment factor is:

[0087]

[0088] Among them, k1(j) is the target down-regulation coefficient of the i-th wind turbine group in the time period of time j, a is a constant function, b is the power judgment threshold, k0 is the basic coefficient of the smooth output reference power conversion, SOC B,i is the charge state value of the electrochemical energy storage device of the i-th wind turbine.

[0089] It should be noted that the constant function a is designed in advance and can be set according to actual control needs, and no limitation is made here. For example, the constant function a can take a value of 50. When the SOC is equal to 0.1, the power smoothing rate increases by 5 times. In this way, the rate of power change can be controlled by controlling the value of the constant function a, thereby achieving different control requirements.

[0090] The power smoothing output reference value for the next control period is calculated using the following formula:

[0091]

[0092] Among them, ΔT is the step length of the control period, 1 minute. The target power of charging and discharging of each electrochemical energy storage device in this control period is the maximum discharge power of each electrochemical energy storage device in this period, as follows:

[0093]

[0094] when When the electrochemical energy storage SOC B,i (j) Calculate the target upward adjustment coefficient. The formula for determining the target upward adjustment coefficient is:

[0095]

[0096] Among them, k2(j) is the target upward adjustment coefficient of the i-th wind turbine group in the time period of time j, c is a constant function, d is the power judgment threshold, k0 is the basic coefficient of the smooth output reference power conversion, SOC B,i is the charge state value of the electrochemical energy storage device of the i-th wind turbine.

[0097] The power smoothing output reference value for the next control period is calculated using the following formula:

[0098]

[0099] The target power for charging and discharging each electrochemical energy storage device during this control period is the maximum charging power of each electrochemical energy storage device during this period, as follows:

[0100]

[0101] In the embodiments of the present disclosure, Figure 5As shown, the second target control strategy is determined from the candidate control strategies of the supercapacitor energy storage device. The actual output power and the initial control power may be first subtracted to calculate the power deviation, and then the power deviation is compared with the judgment threshold. In response to the power deviation being greater than or equal to the third judgment threshold and less than or equal to the fourth judgment threshold, the second target control strategy is determined to be the target power of the supercapacitor energy storage device for the next control period adjusted to the high-frequency component of the power deviation value, or in response to the power deviation being greater than the fourth judgment threshold, the second target control strategy is determined to be the target power of the supercapacitor energy storage device for the next control period adjusted to the maximum discharge power of each supercapacitor energy storage device in this period, or in response to the power deviation being less than the third judgment threshold, the second target control strategy is determined to be the target power of the supercapacitor energy storage device for the next control period adjusted to the maximum charging power of each supercapacitor energy storage device in this period.

[0102] It should be noted that the third judgment threshold and the fourth judgment threshold are critical values ​​for judging the current state of the electrochemical energy storage device. The third judgment threshold and the fourth judgment threshold are designed in advance and can be changed according to actual design needs. No limitation is made here.

[0103] In the embodiment of the present disclosure, the third judgment threshold is the maximum discharge power of the supercapacitor energy storage device, and the fourth judgment threshold is the maximum charging power of the supercapacitor energy storage device.

[0104] In the embodiment of the present disclosure, the formula for calculating the third judgment threshold and the fourth judgment threshold is:

[0105]

[0106] in, is the maximum discharge power of supercapacitor energy storage device i in time period j, is the maximum charging power of supercapacitor energy storage device i in time period j.

[0107] The formula for calculating the power deviation is:

[0108]

[0109] in, is the smoothed output reference power of the i-th wind turbine in the time period of time j, is the actual power generated by the i-th wind turbine in the time period of time j. Decompose into low frequency signals and high frequency signals as follows:

[0110]

[0111] In the embodiment of the present disclosure, The charging and discharging of each supercapacitor energy storage device is controlled in three states. When , the target power of each supercapacitor energy storage device in this control period is adjusted to the high-frequency component of the power deviation value, that is,

[0112]

[0113] when When the target power of charging and discharging of each supercapacitor energy storage device in this control period is adjusted to the maximum discharge power of each supercapacitor energy storage device in this period, as follows:

[0114]

[0115] when When the target power of charging and discharging of each supercapacitor energy storage device in this control period is adjusted to the maximum charging power of each supercapacitor energy storage device in this period, as follows:

[0116]

[0117] In one embodiment of the present disclosure, the wind turbine converter side is controlled by an optimal power control strategy to achieve the goal of maximizing wind energy absorption. Figure 6 The regulating device shown controls the wind turbine converter. The regulating device includes:

[0118] It mainly includes a generator rotor phase calculation module 10, an optimal power operation control module 11 and a current inner loop control module 12.

[0119] The input of the generator rotor phase calculation module 10 is the generator measured speed ω g , the output is the generator rotor phase θ g , the calculation formula is as follows:

[0120]

[0121] The optimal power operation control module 11 is composed of an optimal power control torque calculation 11-1 and a q-axis current control target value calculation 11-2. The optimal power control torque calculation 11-1 inputs the generator measured speed ω g , the output is the generator control target torque T*, the formula is as follows:

[0122]

[0123] Among them, K opt is the optimal power control torque coefficient. The input of q-axis current control target value calculation 11-2 is the motor control target torque T*, and the output is the generator q-axis current control target value i sq*, the formula is as follows:

[0124]

[0125] Among them, n p is the number of generator pole pairs, Ψ f is the permanent magnet flux of the generator.

[0126] The current inner loop calculation module 12 includes PI calculations 12-1 and 12-2, dq coordinate transformation 12-3 and dq coordinate inverse transformation 12-4. First, the three-phase current measurement value i of the generator is sabc Converted into dq axis current i through dq transformation sdq ,as follows:

[0127]

[0128] Then, the voltage value corresponding to the current loop is calculated by PI, the formula is as follows:

[0129]

[0130] Afterwards, the dq axis cross-influence term is introduced to obtain the target value of the generator stator dq axis voltage control, and the formula is as follows:

[0131]

[0132] Among them, ω e is the electromagnetic speed of the generator rotor, which is ω g and n p Finally, the generator stator dq axis voltage control target value u sdq *Substitute the dq coordinate inverse transformation to calculate the converter side converter modulation voltage control target value u sabc *, the formula is as follows:

[0133]

[0134] Each DC side energy storage device tracks the target power through the DC-DC bidirectional converter 4 / 5-2 See also Figure 7 , mainly including 20-charging control process and 21-discharging control process. 20-charging control process mainly consists of S1 controlling the conversion switch 20-1, charging modulation voltage PI calculation 20-2, and charging reference current calculation 20-3. 21-discharging control process mainly consists of S2 controlling the conversion switch 21-1, discharging modulation voltage PI calculation 21-2, and discharging reference current calculation 21-3.

[0135] When the energy storage system is charging, S1 controls the conversion switch to switch to the charging controller, and S2 controls the conversion switch to switch off. The DC-DC charges the energy storage battery or supercapacitor through the step-down conversion mode. First, the charging reference current is calculated by the charging reference power. The formula is as follows:

[0136]

[0137] Then, by substituting the charging reference current and the measured charging current into the PI module, the charging modulation voltage is calculated as follows:

[0138]

[0139] Finally, the IGBT module T1 is controlled to be switched on and off at a certain duty cycle through the charge modulation voltage, so that the energy storage system can be charged according to the specified reference power.

[0140] When the energy storage system is discharging, S1 controls the conversion switch to switch off, and S2 controls the conversion switch to switch to the discharge controller. The DC-DC discharges the energy storage battery or supercapacitor through the boost conversion mode. First, the charging reference current is calculated by the charging reference power, and the formula is as follows:

[0141]

[0142] Then, the discharge reference current and the measured discharge current are substituted into the PI module to calculate the discharge modulation voltage as follows:

[0143]

[0144] Finally, the discharge modulation voltage is used to control the IGBT module T2 to be turned on and off at a certain duty cycle, so that the energy storage system can discharge according to the specified reference current.

[0145] The grid-side converter of each wind turbine generator set stabilizes the DC bus voltage through current loop control, thereby Real-time power delivery to the grid, see Figure 8 , mainly includes a phase-locked loop phase angle calculation module 30, a current outer loop calculation module 31 and a current inner loop calculation module 32.

[0146] The input of the phase-locked loop phase angle calculation module 30 is the three-phase voltage measured by the power grid, and the output is the power grid frequency and phase angle. The calculation process is shown in Fig. 9 First, set the initial phase to θ, substitute it into the dq coordinate transformation, and calculate the grid voltage u od and u oq The value is as follows:

[0147]

[0148] will u oq Substitute into the PI formula to calculate the grid frequency. The formula is as follows:

[0149]

[0150] Integrate ω to calculate the grid phase angle, the formula is as follows:

[0151]

[0152] If u oq If it is not close to 0, substitute the calculated phase angle into equations (33) to (35) to recalculate the grid frequency and phase angle until u oq Close to 0, locking the grid frequency and phase angle.

[0153] The current outer loop calculation module 31 includes a d-axis current outer loop PI calculation module 31-1 and a q-axis current outer loop PI calculation module 31-2. The d-axis current outer loop PI calculation module 31-1 inputs the measured value of the DC bus capacitance of the converter U DC and reference value Output is the d-axis current control target value The calculation formula is as follows:

[0154]

[0155] The input of the q-axis current outer loop PI calculation 31-2 is the reactive power measurement value Q i and reference value The output is the q-axis current control target value The calculation formula is as follows:

[0156]

[0157] The current inner loop calculation module 32 includes PI calculations 32-1 and 32-2, dq coordinate transformation 32-3 and dq coordinate inverse transformation 32-4. First, the inverter output three-phase current measurement value i abc Converted into dq axis current i through dq transformation dq Then, the voltage value corresponding to the current loop is calculated by PI, and the formula is as follows:

[0158]

[0159] Afterwards, the inverter dq axis voltage control target value is obtained by introducing the dq axis cross-influence term, and the formula is as follows:

[0160]

[0161] Finally, the inverter dq axis voltage control target value u dq *Substitute into the dq coordinate inverse transformation to calculate the inverter modulation voltage control target value uabc *, the formula is as follows:

[0162]

[0163] Corresponding to the wind turbine control methods for smoothing wind power output power provided in the above-mentioned embodiments, an embodiment of the present disclosure further provides a wind turbine control device for smoothing wind power output power. Since the wind turbine control device for smoothing wind power output power provided in the embodiment of the present disclosure corresponds to the wind turbine control methods for smoothing wind power output power provided in the above-mentioned embodiments, the implementation methods of the above-mentioned wind turbine control methods for smoothing wind power output power are also applicable to the wind turbine control device for smoothing wind power output power provided in the embodiment of the present disclosure, and will not be described in detail in the following embodiments.

[0164] Fig.10 is a schematic diagram of a wind turbine control device for smoothing wind power output power according to an embodiment of the present disclosure, such as Fig.10 As shown, the wind turbine control device 1000 for smoothing wind power output power includes: an acquisition module 1010 , a determination module 1020 , a selection module 1030 and a control module 1040 .

[0165] The acquisition module 1010 is used to acquire the historical output power of the wind turbine, determine the first charge and discharge coefficient of the electrochemical energy storage device, and determine the second charge and discharge coefficient of the supercapacitor energy storage device.

[0166] The determination module 1020 is used to determine the initial control power based on the historical output power, determine the first maximum charge and discharge power of the electrochemical energy storage device, and determine the second maximum charge and discharge power of the supercapacitor energy storage device.

[0167] The selection module 1030 is used to determine a first target control strategy from candidate control strategies of the electrochemical energy storage device and a second target control strategy from candidate control strategies of the supercapacitor energy storage device based on the initial control power, the first maximum charge and discharge power, and the second maximum charge and discharge power.

[0168] The control module 1040 is used to control the electrochemical energy storage device and the supercapacitor energy storage device based on the first target control strategy and the second target control strategy respectively.

[0169] In one embodiment of the present disclosure, a target maximum charge and discharge power of a target device is determined, wherein the target device is one of an electrochemical energy storage device and a supercapacitor energy storage device, and when the target device is an electrochemical energy storage device, the target maximum charge and discharge power is a first maximum charge and discharge power, and when the target device is a supercapacitor energy storage device, the target maximum charge and discharge power is a second maximum charge and discharge power, including: obtaining a charge state value of the target device and a charge and discharge state of the target device, and obtaining a rated power of the target device; in response to the charge and discharge state being a discharge state, comparing the charge state value with a first judgment threshold and a second judgment threshold, determining a maximum discharge coefficient based on the comparison result, and calculating the maximum discharge power of the target device based on the rated power and the maximum discharge coefficient; or, in response to the charge and discharge state being a charge state, comparing the charge state value with a third judgment threshold and a fourth judgment threshold, determining a maximum charge coefficient based on the comparison result, and calculating the maximum charge power of the target device based on the rated power and the maximum charge coefficient.

[0170] In one embodiment of the present disclosure, based on the initial control power, the first maximum charge and discharge power, and the second maximum charge and discharge power, a first target control strategy is determined from candidate control strategies of the electrochemical energy storage device, and a second target control strategy is determined from candidate control strategies of the supercapacitor energy storage device, including: obtaining the actual output power of the wind turbine; based on the actual output power, the initial control power, the first maximum charge and discharge power, and the second maximum charge and discharge power, the first target control strategy is determined from candidate control strategies of the electrochemical energy storage device, and the second target control strategy is determined from candidate control strategies of the supercapacitor energy storage device.

[0171] In one embodiment of the present disclosure, determining a first target control strategy from candidate control strategies for an electrochemical energy storage device includes: subtracting the actual output power from the initial control power to calculate a power deviation; comparing the power deviation with a judgment threshold; in response to the power deviation being greater than or equal to the first judgment threshold and less than or equal to the second judgment threshold, determining that the first target control strategy is to keep the power smoothing output reference value unchanged for the next control period and adjust the current charge and discharge target power of the electrochemical energy storage device to a low-frequency component of the power deviation value; or, in response to the power deviation being greater than the second judgment threshold, calculating a target down-adjustment coefficient, and The target downward adjustment value is calculated based on the target downward adjustment coefficient, and the first target control strategy is determined to be that the power smoothing output reference value for the next control period is adjusted downward to the target downward adjustment value, and the current charge and discharge target power of the electrochemical energy storage device is adjusted to the maximum discharge power of each electrochemical energy storage device in this period; or, in response to the power deviation being less than the first judgment threshold, the target upward adjustment coefficient is calculated, and the target upward adjustment value is calculated based on the target upward adjustment coefficient, and the first target control strategy is determined to be that the power smoothing output reference value for the next control period is adjusted upward to the target upward adjustment value, and the current charge and discharge target power of the electrochemical energy storage device is adjusted to the maximum charging power of each electrochemical energy storage device in this period.

[0172] In one embodiment of the present disclosure, the formula for determining the target down-adjustment coefficient is: Among them, k1(j) is the target down-regulation coefficient of the i-th wind turbine group in the time period of time j, a is a constant function, b is the power judgment threshold, k0 is the basic coefficient of the smooth output reference power conversion, SOC B,i is the charge state value of the electrochemical energy storage device of the i-th wind turbine; the formula for determining the target upward adjustment coefficient is: Among them, k2(j) is the target upward adjustment coefficient of the i-th wind turbine group in the time period of time j, c is a constant function, d is the power judgment threshold, k0 is the basic coefficient of the smooth output reference power conversion, SOC B,i is the charge state value of the electrochemical energy storage device of the i-th wind turbine.

[0173] In one embodiment of the present disclosure, determining a second target control strategy from candidate control strategies for a supercapacitor energy storage device includes: subtracting an actual output power from an initial control power to calculate a power deviation; comparing the power deviation with a judgment threshold; in response to a power deviation being greater than or equal to a third judgment threshold and less than or equal to a fourth judgment threshold, determining that the second target control strategy is to adjust the target power of charging and discharging the supercapacitor energy storage device for the next control period to a high-frequency component of the power deviation value; or, in response to a power deviation being greater than the fourth judgment threshold, determining that the second target control strategy is to adjust the target power of charging and discharging the supercapacitor energy storage device for the next control period to a maximum discharge power of each supercapacitor energy storage device in this period; or, in response to a power deviation being less than the third judgment threshold, determining that the second target control strategy is to adjust the target power of charging and discharging the supercapacitor energy storage device for the next control period to a maximum charging power of each supercapacitor energy storage device in this period.

[0174] In one embodiment of the present disclosure, the device further includes: the wind turbine converter side is controlled by an optimal power control strategy.

[0175] Therefore, by integrating the historical output power data of wind turbines through the method disclosed in the present invention and designing and implementing the control strategy of the energy storage system in a targeted manner, the comprehensive performance of the entire wind farm and its supporting energy storage facilities can be significantly improved, the control effect of the wind farm and the robustness of the system can be improved, and at the same time the control cost can be reduced and the equipment life can be prolonged.

[0176] In order to implement the above embodiment, the present disclosure further provides an electronic device 1100, Fig.11 is a schematic diagram of an electronic device according to an embodiment of the present disclosure, such as Fig.11 As shown, the electronic device 1100 includes: a processor 1101 and a memory 1102 connected to the processor in communication, the memory 1102 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 1101 to implement the present disclosure. Figure 1-Figure 9 A wind turbine control method for smoothing wind power output according to an embodiment.

[0177] In order to implement the above embodiments, the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to implement the above embodiments. Figure 1-Figure 9 A wind turbine control method for smoothing wind power output according to an embodiment.

[0178] In order to implement the above embodiments, the present disclosure also provides a computer program product, including a computer program. When the computer program is executed by a processor, the computer program implements the above embodiments. Figure 1-Figure 9 A wind turbine control method for smoothing wind power output according to an embodiment.

[0179] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0180] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.

[0181] 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.

[0182] 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.

[0183] 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.

[0184] 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 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 contains, stores, communicates, propagates or transmits 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 (non-exhaustive list) of computer-readable media 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.

[0185] 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 embodiment, 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.

[0186] 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.

[0187] 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.

[0188] 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 wind turbine control method for smoothing wind power output, characterized in that: include: Obtaining historical output power of the wind turbine generator set, and determining a first charge and discharge coefficient of the electrochemical energy storage device, and determining a second charge and discharge coefficient of the supercapacitor energy storage device; Determining an initial control power based on the historical output power, determining a first maximum charge and discharge power of the electrochemical energy storage device, and determining a second maximum charge and discharge power of the supercapacitor energy storage device; Based on the initial control power, the first maximum charge and discharge power, and the second maximum charge and discharge power, determine a first target control strategy from candidate control strategies for the electrochemical energy storage device, and determine a second target control strategy from candidate control strategies for the supercapacitor energy storage device; The electrochemical energy storage device and the supercapacitor energy storage device are controlled based on the first target control strategy and the second target control strategy respectively.

2. The method according to claim 1, characterized in that Determining a target maximum charge and discharge power of a target device, wherein the target device is one of the electrochemical energy storage device and the supercapacitor energy storage device, when the target device is the electrochemical energy storage device, the target maximum charge and discharge power is the first maximum charge and discharge power, and when the target device is the supercapacitor energy storage device, the target maximum charge and discharge power is the second maximum charge and discharge power, comprising: Acquire a charge state value of the target device and a charge and discharge state of the target device, and acquire a rated power of the target device; In response to the charge-discharge state being a discharge state, comparing the charge state value with a first judgment threshold and a second judgment threshold, determining a maximum discharge coefficient based on the comparison result, and calculating a maximum discharge power of the target device based on the rated power and the maximum discharge coefficient; or, In response to the charge-discharge state being a charging state, the charge state value is compared with a third judgment threshold and a fourth judgment threshold, a maximum charging coefficient is determined based on the comparison result, and a maximum charging power of the target device is calculated based on the rated power and the maximum charging coefficient.

3. The method according to claim 1 or 2, characterized in that: The determining of a first target control strategy from candidate control strategies of the electrochemical energy storage device based on the initial control power, the first maximum charge and discharge power, and the determining of a second target control strategy from candidate control strategies of the supercapacitor energy storage device comprises: Obtaining the actual output power of the wind turbine generator set; Based on the actual output power, the initial control power, the first maximum charge and discharge power, and the second maximum charge and discharge power, a first target control strategy is determined from candidate control strategies for the electrochemical energy storage device, and a second target control strategy is determined from candidate control strategies for the supercapacitor energy storage device.

4. The method according to claim 3, characterized in that The determining of a first target control strategy from candidate control strategies of the electrochemical energy storage device comprises: Subtracting the actual output power from the initial control power to calculate a power deviation; comparing the power deviation with a judgment threshold; In response to the power deviation being greater than or equal to the first judgment threshold and less than or equal to the second judgment threshold, determining that the first target control strategy is to keep the power smoothing output reference value unchanged for the next control period, and adjusting the current charge and discharge target power of the electrochemical energy storage device to the low-frequency component of the power deviation value; or, In response to the power deviation being greater than the second judgment threshold, a target downward adjustment coefficient is calculated, and a target downward adjustment value is calculated based on the target downward adjustment coefficient, and the first target control strategy is determined to adjust the power smoothing output reference value of the next control period to the target downward adjustment value, and adjust the current charge and discharge target power of the electrochemical energy storage device to the maximum discharge power of each electrochemical energy storage device in this period; or, In response to the power deviation being less than the first judgment threshold, a target increase coefficient is calculated, and a target increase value is calculated based on the target increase coefficient, and the first target control strategy is determined to increase the power smoothing output reference value in the next control period to the target increase coefficient value, and the current charge and discharge target power of the electrochemical energy storage device is adjusted to the maximum charging power of each electrochemical energy storage device in this period.

5. The method according to claim 4, characterized in that The formula for calculating the target downward adjustment coefficient is: Wherein, k1(j) is the target down-regulation coefficient of the i-th wind turbine group in the time period of time j, a is a constant function, b is the power judgment threshold, k0 is the basic coefficient of the smooth output reference power conversion, and SOC B,i is the charge state value of the electrochemical energy storage device of the i-th wind turbine; The formula for calculating the target upward adjustment coefficient is: Wherein, k2(j) is the target upward adjustment coefficient of the i-th wind turbine group in the time period of time j, c is a constant function, d is the power judgment threshold, k0 is the basic coefficient of the smooth output reference power conversion, and SOC B,i is the charge state value of the electrochemical energy storage device of the i-th wind turbine.

6. The method according to claim 3, characterized in that The determining of the second target control strategy from the candidate control strategies of the supercapacitor energy storage device comprises: Subtracting the actual output power from the initial control power to calculate a power deviation; comparing the power deviation with a judgment threshold; In response to the power deviation being greater than or equal to the third judgment threshold and less than or equal to the fourth judgment threshold, determining that the second target control strategy is to adjust the target power of charging and discharging of the supercapacitor energy storage device in the next control period to the high-frequency component of the power deviation value; or, In response to the power deviation being greater than the fourth judgment threshold, determining that the second target control strategy is to adjust the target power of charging and discharging of the supercapacitor energy storage device in the next control period to the maximum discharge power of each supercapacitor energy storage device in the current period; or, In response to the power deviation being less than the third judgment threshold, it is determined that the second target control strategy is to adjust the target charging and discharging power of the supercapacitor energy storage device in the next control period to the maximum charging power of each supercapacitor energy storage device in this period.

7. The method according to claim 1, characterized in that The method further comprises: The wind turbine converter side is controlled by an optimal power control strategy.

8. A wind turbine control device for smoothing wind power output, characterized in that: include: An acquisition module, used to acquire the historical output power of the wind turbine, and determine the first charge and discharge coefficient of the electrochemical energy storage device, and determine the second charge and discharge coefficient of the supercapacitor energy storage device; A determination module, configured to determine an initial control power based on the historical output power, determine a first maximum charge and discharge power of the electrochemical energy storage device, and determine a second maximum charge and discharge power of the supercapacitor energy storage device; A selection module, configured to determine a first target control strategy from candidate control strategies of the electrochemical energy storage device, and determine a second target control strategy from candidate control strategies of the supercapacitor energy storage device based on the initial control power, the first maximum charge and discharge power, and the second maximum charge and discharge power; A control module is used to control the electrochemical energy storage device and the supercapacitor energy storage device based on the first target control strategy and the second target control strategy respectively.

9. An electronic device, characterized in that: Including memory. processor; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

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