Wind power plant output power control method, device and system

Abstract

The invention relates to a wind power plant output power control method, device and system. The method comprises the following steps: acquiring actual output total power of a wind driven generator in a wind power plant at a current time node, and wind power plant predicted power corresponding to a time period to which the current time node belongs; determining a power deviation ratio of the wind power plant at the current time node based on the actual output total power and the predicted power of the wind power plant; under the condition that the power deviation ratio does not meet the preset condition, energy storage state data of each energy storage device at the current time node are obtained, and charging and discharging target power of each energy storage device is determined according to the energy storage state data; based on the charging and discharging target power of each energy storage device, determining a charging and discharging target value corresponding to each energy storage device; and controlling the energy storage device to charge and discharge according to the charge and discharge target value corresponding to the energy storage device. According to the scheme, the problem of overlarge deviation between the predicted power and the actual output power of the wind power plant is effectively avoided.

Description

Technical Field

[0001] The present disclosure relates to the technical field of wind power generation, and in particular to a method, device and system for controlling output power of a wind farm. Background Art

[0002] In related technologies, as the global demand for clean energy increases, wind power, as a green and renewable energy source, is gradually becoming an important part of the energy structure. Unlike conventional energy, wind energy has the characteristics of randomness, volatility and intermittency. Usually, it is necessary to coordinate the power supply of multiple wind farms based on the predicted power values ​​of each of the multiple wind farms. Therefore, the deviation between the actual output power of the wind farm and the predicted power value must be controlled within a certain range, otherwise the expected power supply effect cannot be achieved. However, in the actual power supply process, it is difficult to control the above deviation within the expected range due to the randomness and volatility of wind power. Summary of the invention

[0003] In order to overcome the problems existing in the related art, the present disclosure provides a method, device and system for controlling output power of a wind farm.

[0004] According to a first aspect of an embodiment of the present disclosure, a method for controlling output power of a wind farm is provided, comprising:

[0005] Obtaining the actual total output power of wind turbines in the wind farm at the current time node, and the predicted power of the wind farm corresponding to the time period to which the current time node belongs;

[0006] Determine a power deviation ratio of the wind farm at a current time point based on the actual total output power and the predicted power of the wind farm;

[0007] When the power deviation ratio value does not meet the preset condition, obtaining the energy storage status data of each energy storage device at the current time node, and determining the charging and discharging target power of each energy storage device according to the energy storage status data;

[0008] Based on the charging and discharging target power of each energy storage device, determining the charging and discharging target value corresponding to each energy storage device; the power grid is a power grid that receives the electric energy output by the wind farm;

[0009] For each energy storage device, the energy storage device is controlled to be charged and discharged according to the charge and discharge target value corresponding to the energy storage device, so that the power deviation proportion value meets the preset condition.

[0010] According to a second aspect of an embodiment of the present disclosure, there is provided a wind farm output power control device, comprising:

[0011] An acquisition unit, used to acquire the actual total output power of the wind turbines in the wind farm at the current time node, and the predicted power of the wind farm corresponding to the time period to which the current time node belongs;

[0012] A first determining unit, configured to determine a power deviation percentage value of the wind farm at a current time node based on the actual total output power and the predicted power of the wind farm;

[0013] A second determination unit is configured to obtain energy storage status data of each energy storage device at the current time node when the power deviation ratio value does not meet a preset condition, and determine a charge and discharge target power of each energy storage device according to the energy storage status data;

[0014] A third determining unit is used to determine the charging and discharging target value corresponding to each energy storage device based on the charging and discharging target power of each energy storage device; the power grid is a power grid that receives the electric energy output by the wind farm;

[0015] The fourth control unit is used to control the charging and discharging of each energy storage device according to the charging and discharging target value corresponding to the energy storage device, so that the power deviation proportion value meets the preset condition.

[0016] According to a third aspect of an embodiment of the present disclosure, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method described in any one of the first aspects is implemented.

[0017] According to a fourth aspect of an embodiment of the present disclosure, there is provided a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method according to any one of the first aspects is implemented.

[0018] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided, comprising a computer program, wherein the computer program implements the method as described in any one of the first aspects when executed by a processor.

[0019] The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: by obtaining the actual total output power of the wind turbines in the wind farm at the current time node, and the predicted power of the wind farm corresponding to the time period to which the current time node belongs; based on the actual total output power and the predicted power of the wind farm, determining the power deviation ratio of the wind farm at the current time node; when the power deviation ratio does not meet the preset conditions, obtaining the energy storage status data of each energy storage device at the current time node, and determining the charging and discharging target power of each energy storage device according to the energy storage status data; based on the charging and discharging target power of each energy storage device, determining the corresponding charging and discharging target value of each energy storage device; for each energy storage device, controlling the energy storage device to charge and discharge according to the corresponding charging and discharging target value of the energy storage device, thereby effectively avoiding the problem of excessive deviation between the predicted power and the actual output power of the wind farm by using the energy storage device to charge and discharge in combination with the operating status of the power grid.

[0020] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0022] Figure 1 The figure is a flow chart of a method for controlling output power of a wind farm according to an exemplary embodiment.

[0023] Figure 2 It is a schematic diagram of the real-time power prediction deviation proposed in the embodiment of the present application.

[0024] Figure 3 It is a flow chart for calculating the charging and discharging target values ​​of the energy storage device proposed in the embodiment of the present application.

[0025] Figure 4 It is a schematic diagram of the overall layout of the wind turbine set and its energy storage device proposed in the embodiment of the present application.

[0026] Figure 5 The figure is a block diagram of a wind farm output power control device according to an exemplary embodiment.

[0027] Figure 6 It is a block diagram of a device for a method for controlling output power of a wind farm according to an exemplary embodiment.

[0028] Reference numerals

[0029] 1- Power generation system; 2- Converter; 3- Box-type transformer; 4- Energy storage system. DETAILED DESCRIPTION

[0030] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0031] The terms used in the disclosed embodiments are only for the purpose of describing specific embodiments, and are not intended to limit the disclosed embodiments. The singular forms "a", "an" and "the" used in the disclosed embodiments and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0032] It should be understood that although the terms first, second, third, etc. may be used to describe various information in the disclosed embodiments, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the disclosed embodiments, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein may be interpreted as "at" or "when" or "in response to determination".

[0033] In addition, various forms of processes shown in the embodiments of the present disclosure may be used to reorder, add or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially or in different orders, as long as the desired results of the technical solution disclosed in the present disclosure can be achieved, and this document does not limit this.

[0034] In related technologies, as the global demand for clean energy increases, wind power, as a green and renewable energy source, is gradually becoming an important part of the energy structure. Unlike conventional energy, wind energy has the characteristics of randomness, volatility and intermittency. Usually, it is necessary to coordinate the power supply of multiple wind farms based on the predicted power values ​​of each of the multiple wind farms. Therefore, the deviation between the actual output power of the wind farm and the predicted power value must be controlled within a certain range, otherwise the expected power supply effect cannot be achieved. However, in the actual power supply process, it is difficult to control the above deviation within the expected range due to the randomness and volatility of wind power.

[0035] In order to solve the above problems, the present disclosure provides a wind farm output power control method, device and system, which obtain the actual total output power of wind generators in the wind farm at the current time node and the predicted power of the wind farm corresponding to the time period to which the current time node belongs; determine the power deviation ratio of the wind farm at the current time node based on the actual total output power and the predicted power of the wind farm; when the power deviation ratio does not meet the preset conditions, obtain the energy storage status data of each energy storage device at the current time node, and determine the charging and discharging target power of each energy storage device according to the energy storage status data; determine the charging and discharging target value corresponding to each energy storage device based on the charging and discharging target power of each energy storage device; for each energy storage device, control the energy storage device to charge and discharge the wind generators in the wind farm according to the charging and discharging target value corresponding to the energy storage device, thereby effectively avoiding the problem of excessive deviation between the predicted power and the actual output power of the wind farm by using the energy storage device to charge and discharge in combination with the operating status of the power grid.

[0036] Figure 1 is a flow chart of a method for controlling output power of a wind farm according to an exemplary embodiment. Figure 1 As shown, it should be noted that the wind farm output power control method of the embodiment of the present disclosure is applied to a wind farm output power control device. Figure 1 As shown, the method may include the following steps:

[0037] Step 101, obtaining the actual total output power of the wind turbines in the wind farm at the current time node, and the predicted power of the wind farm corresponding to the time period to which the current time node belongs.

[0038] It should be noted that the electric power output of the wind farm in the future can be estimated to obtain the predicted power of the wind farm, which can usually be divided into ultra-short-term power forecast (0-4 hours), short-term power forecast (0-72 hours), and medium-term power forecast (0-10 days), with a time resolution of 15 minutes.

[0039] In addition, the wind farm power forecast is to estimate the power generation of the wind farm in the future based on factors such as meteorological conditions and wind turbine performance. Its basic principle is to use meteorological data such as wind speed, wind direction, temperature, air pressure, etc., combined with the power curve of the wind turbine to calculate the output power of the wind farm.

[0040] In addition, the above time periods correspond to the prediction frequency. For example, the day-ahead wind power prediction is to predict the wind farm power output in the next 24 hours based on the weather forecast at 24:00 the previous day. Each 15-minute period is a time period, and the predicted wind farm power remains unchanged within 15 minutes.

[0041] It is understandable that for power grid dispatching, accurate wind farm power forecast (i.e. wind power forecast) helps to arrange power generation plans reasonably. Since wind power is intermittent and volatile, the power grid needs to know the power generation of wind farms in advance in order to balance power supply and demand. For example, if there is no accurate forecast, too much wind power connected to the power grid may cause unstable power grid frequency and affect the safe operation of the power grid.

[0042] In some examples of possible implementations, any one of the following methods may be used to predict the wind farm predicted power:

[0043] Physical methods build atmospheric motion models based on physical principles, taking into account factors such as topography, surface roughness, and meteorological conditions to simulate wind conditions in the wind farm area. For example, the numerical weather forecast (NWP) model is a typical representative of physical methods. It predicts meteorological parameters such as wind speed and wind direction by solving basic equations of atmospheric motion, such as momentum equation, mass conservation equation, and energy equation. Then, the meteorological parameters are converted into wind power according to the power curve of the wind turbine.

[0044] Statistical methods use historical data, including historical wind speed, power, meteorological data, etc., to establish statistical models to predict wind power. Common statistical methods include time series analysis and regression analysis.

[0045] Artificial intelligence methods include artificial neural networks (ANNs), support vector machines (SVMs), etc. Taking artificial neural networks as an example, they construct a network structure with multiple neurons and use a large amount of input data (such as meteorological data and historical power data) to train the network.

[0046] Step 102: Determine the power deviation percentage value of the wind farm at the current time node based on the actual total output power and the predicted power of the wind farm.

[0047] It can be understood that the larger the above power deviation ratio is, the higher the deviation between the actual total output power and the predicted power of the wind farm is, and the greater the adverse impact on grid dispatching is.

[0048] In some embodiments of the present application, step 102 may specifically include the following steps:

[0049] Based on the actual total output power and the predicted power of the wind farm, the power deviation ratio of the wind farm at the current time node is calculated by the following formula:

[0050]

[0051] Among them, P f (j) is the wind farm predicted power for the time period of the jth time node, The actual output power of the i-th wind turbine among the n wind turbines in the wind farm is obtained at the j-th time node, and β(j) is the power deviation ratio of the wind farm at the j-th time node.

[0052] In one embodiment, the allowable deviation limit of wind farm power forecast is β * , usually the assessment value is 85%. When |β(j)|≤β * When the actual power generation of the wind farm is within the predicted deviation, the energy storage devices do not perform charging and discharging operations; when |β(j)|>β * When the actual power generated by the wind farm exceeds the predicted deviation, each energy storage device performs charging and discharging operations according to the power allocation value.

[0053] The power real-time prediction deviation is shown as follows 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.

[0054] Step 103, when the power deviation ratio value does not meet the preset conditions, the energy storage state data of each energy storage device at the current time node is obtained, and the charging and discharging target power of each energy storage device is determined according to the energy storage state data.

[0055] In one embodiment, when the power deviation ratio exceeds a preset threshold, it indicates that the degree of deviation between the actual total output power and the predicted power of the wind farm has exceeded an acceptable range. At this time, one or more energy storage devices need to be used to regulate the actual output power of the wind farm in a charging and discharging manner, so as to ensure that the output power of the power plant can meet the actual application requirements.

[0056] In some embodiments of the present application, step 103 may specifically include the following steps:

[0057] Compare the absolute value of the power deviation ratio with the preset ratio value;

[0058] When the absolute value of the power deviation ratio is greater than the preset ratio, it is determined that the power deviation ratio does not meet the preset condition, and the energy storage state data of each energy storage device at the current time node is obtained.

[0059] In one embodiment, Figure 2 As shown, 0-15t is a time period, and the wind farm predicted power corresponding to this time period is P f (1), the actual total output power does not fall within P f (j)×(1-β *) to P f (j)×(1+β * ) in this interval, it is determined that the condition is not met.

[0060] In some embodiments of the present application, step 103 may specifically include the following steps:

[0061] Step a1, using the preset ratio value and the power deviation ratio value, calculate the power deviation excess value by the following formula:

[0062]

[0063] in, is the power deviation exceeding value, β * is the preset proportion value, β(j) is the power deviation proportion value, The actual output power of the i-th wind turbine among the n wind turbines in the wind farm is obtained at the j-th time node, P f (j) is the predicted power of the wind farm in the time period belonging to the jth time node.

[0064] Step a2: for each energy storage device, determine the charge and discharge limit coefficient of the energy storage device using the remaining power SOC of the energy storage device.

[0065] In one embodiment, the charge and discharge limit coefficient K can be determined by the following formula: B,i :

[0066]

[0067] Among them, K B_d,i is the discharge coefficient of the energy storage device, when The discharge coefficient used for timing; K B_c,i is the charging coefficient of the energy storage device, when When it is negative, the charging factor is used.

[0068] Step a3, determining the charge and discharge participation factor of the energy storage device based on the charge and discharge coefficient of each energy storage device.

[0069] In one embodiment, the charge-discharge participation factor PF can be determined by the following formula: B,i :

[0070]

[0071]

[0072] Wherein, n is the number of energy storage devices.

[0073] Step a4, determining the target charging and discharging power of the energy storage device by using the power deviation excess value and the charging and discharging participation factor of the energy storage device.

[0074] In one embodiment, the power deviation excess value and the charge and discharge participation factor of the energy storage device can be used to determine the charge and discharge target power of each energy storage device through the following formula:

[0075]

[0076]

[0077] Among them, P max is the maximum discharge power of the energy storage device.

[0078] Step 104 : determining a charge and discharge target value corresponding to each energy storage device based on the charge and discharge target power of each energy storage device.

[0079] The power grid is a power grid that receives electric energy output by the wind farm.

[0080] In some embodiments of the present application, Figure 3 As shown, step 104 may specifically include the following steps:

[0081] Determine the grid phase angle θ at the current time node * ;

[0082] The three-phase voltage u measured by the power grid is converted into oabc Convert to u odq , and the three-phase current i abc Convert to i dq ;

[0083] The active power P of the power grid is calculated by the following formula B,i and reactive power Q B,i :

[0084]

[0085] Among them, u od 、u oq Both are u odq The weight, i d 、i q All i dq The amount of

[0086] P B,i , Q B,i , and Substitute into the PI formula and calculate the energy storage PCC point dq axis current control target value i by the following formula: dq * :

[0087]

[0088] Among them, K p_PQ is the power PI control proportional coefficient, K i_PQ is the power PI control integral coefficient, s is the Laplace operator, is the charging and discharging target power of the i-th energy storage device at the j-th time node, is the reactive power reference value, All i dq * The weight of

[0089] The inverter output three-phase current measurement value i abc Converted into dq axis current i through dq transformation dq ;

[0090] The voltage value corresponding to the current loop (i.e., the current feedback system, which can connect the output current to the processing link by positive feedback or negative feedback) is calculated by the PI controller using the following formula:

[0091]

[0092] Among them, K p_c K is the current inner loop control proportional coefficient, i_c is the current inner loop control integral coefficient, u id 、u iq They are all components of the voltage value corresponding to the current loop;

[0093] The inverter dq axis voltage control target value u is calculated by the following formula: dq * , the formula is as follows:

[0094]

[0095] in, Both are u dq * The weight, L f It is the inverter filter inductor.

[0096] The charge and discharge target value (that is, the inverter modulation voltage control target value) is calculated by the following formula: abc * :

[0097]

[0098]

[0099] in, and Both are u abc * The amount.

[0100] In one embodiment, Figure 3 As shown, u abc * After the sinusoidal pulse width modulation method SPWM is used for modulation, according to the modulated u abc * Control the energy storage system 4. dc is a battery, S1-S6 are IGBTs, S1-S6, resistor R, inverter filter inductor L f Equivalent to Figure 4 Inverter 402, QF is Figure 4 Circuit breaker 403 in.

[0101] In some embodiments of the present application, determining the grid phase angle of the grid at the current time node in step 104 may specifically include the following steps:

[0102] The grid voltage u of the grid is calculated by the following formula od and u oq :

[0103]

[0104] Among them, θ is the initial phase of the power grid;

[0105] The grid frequency ω of the power grid is calculated by the following formula:

[0106]

[0107] Among them, K p_PLL For K i_PLL is, s is the Laplace operator

[0108] The grid phase angle θ is calculated by the following formula * :

[0109]

[0110] Step 105 , for each energy storage device, according to the charge and discharge target value corresponding to the energy storage device, control the charge and discharge of the energy storage device so that the power deviation ratio value meets the preset condition.

[0111] In one embodiment, the overall arrangement of the wind turbine and its energy storage device is as follows: Figure 4As shown, there are n wind turbines in the wind farm. The electrochemical energy storage device is integrated into the low-voltage AC side of each wind turbine box transformer, which consists of a power generation system 1 (including impellers, rotating chains and generators), a converter 2, a box transformer 3, an energy storage system 4, etc. The 2 converter converts the electric energy generated by the wind turbine into electric energy with the same voltage, frequency and phase as the power grid PCC through AC-DC-AC conversion, mainly including a machine-side converter 201, a DC bus and capacitor 202, a grid-side converter 203, and a grid-connected circuit breaker 204. The high-voltage side 35kV of the box transformer 3 is connected to the wind farm collector line, and the low-voltage side 690V is connected to the converter 2 and the energy storage system 4. The energy storage system 4 is mainly composed of a battery system 401, an inverter 402, a circuit breaker 403, etc. The outlet of the circuit breaker 403 is connected to the corresponding wind turbine PCC.

[0112] According to the wind farm output power control method proposed in the embodiment of the present disclosure, the actual total output power of the wind turbines in the wind farm at the current time node and the predicted power of the wind farm corresponding to the time period to which the current time node belongs are obtained; based on the actual total output power and the predicted power of the wind farm, the power deviation ratio of the wind farm at the current time node is determined; when the power deviation ratio does not meet the preset conditions, the energy storage status data of each energy storage device at the current time node is obtained, and the charging and discharging target power of each energy storage device is determined according to the energy storage status data; based on the charging and discharging target power of each energy storage device, the corresponding charging and discharging target value of each energy storage device is determined; for each energy storage device, the energy storage device is controlled to be charged and discharged according to the corresponding charging and discharging target value of the energy storage device, so that the problem of excessive deviation between the predicted power and the actual output power of the wind farm is effectively avoided by using the energy storage device to charge and discharge in combination with the operating status of the power grid.

[0113] Figure 5 FIG. 1 is a block diagram of a wind farm output power control device according to an exemplary embodiment. Figure 5 The device includes an acquisition unit 501, a first determination unit 502, a second determination unit 503, a third determination unit 504 and a fourth control unit 505.

[0114] The acquisition unit 501 is used to acquire the actual total output power of the wind turbines in the wind farm at the current time node, and the predicted power of the wind farm corresponding to the time period to which the current time node belongs;

[0115] A first determining unit 502 is used to determine a power deviation percentage value of the wind farm at a current time node based on the actual total output power and the predicted power of the wind farm;

[0116] The second determining unit 503 is used to obtain the energy storage state data of each energy storage device at the current time node when the power deviation ratio value does not meet the preset condition, and determine the charging and discharging target power of each energy storage device according to the energy storage state data;

[0117] The third determining unit 504 is used to determine the charging and discharging target value corresponding to each energy storage device based on the charging and discharging target power of each energy storage device; the power grid is a power grid that receives the electric energy output by the wind farm;

[0118] The fourth control unit 505 is used to control the charging and discharging of each energy storage device according to the charging and discharging target value corresponding to the energy storage device, so that the power deviation ratio value meets the preset condition.

[0119] In some embodiments, the first determining unit 502 may be specifically configured to:

[0120] Based on the actual total output power and the predicted power of the wind farm, the power deviation ratio of the wind farm at the current time node is calculated by the following formula:

[0121]

[0122] Among them, P f (j) is the wind farm predicted power for the time period of the jth time node, The actual output power of the i-th wind turbine among the n wind turbines in the wind farm is obtained at the j-th time node, and β(j) is the power deviation ratio of the wind farm at the j-th time node.

[0123] In some embodiments, the second determining unit 503 may be specifically configured to:

[0124] Compare the absolute value of the power deviation ratio with the preset ratio value;

[0125] When the absolute value of the power deviation ratio is greater than the preset ratio, it is determined that the power deviation ratio does not meet the preset condition, and the energy storage state data of each energy storage device at the current time node is obtained.

[0126] In some embodiments, the energy storage state data includes the remaining power SOC of the energy storage device, and the first determination unit 502 can be specifically used to:

[0127] Using the preset ratio and the power deviation ratio, the power deviation excess value is calculated using the following formula:

[0128]

[0129] in, is the power deviation exceeding value, β *is the preset proportion value, β(j) is the power deviation proportion value, The actual output power of the i-th wind turbine among the n wind turbines in the wind farm is obtained at the j-th time node, P f (j) is the predicted power of the wind farm in the time period of the jth time node;

[0130] For each energy storage device, the charge and discharge limit coefficient of the energy storage device is determined using the remaining power SOC of the energy storage device;

[0131] Determining a charge and discharge participation factor of the energy storage device based on a charge and discharge coefficient of each energy storage device;

[0132] The target power of charging and discharging of the energy storage device is determined by using the power deviation excess value and the charging and discharging participation factor of the energy storage device.

[0133] In some embodiments, the third determining unit 504 may be specifically configured to:

[0134] Determine the grid phase angle of the grid at the current time node;

[0135] The three-phase voltage u measured by the power grid is converted into oabc Convert to u odq , and the three-phase current i abc Convert to i dq ;

[0136] The active power P of the power grid is calculated by the following formula B,i and reactive power Q B,i :

[0137]

[0138] Among them, u od 、u oq Both are u odq The weight, i d 、i q All i dq The amount of

[0139] The energy storage PCC point dq axis current control target value i is calculated by the following formula dq * :

[0140]

[0141] Among them, K p_PQ is the power PI control proportional coefficient, K i_PQ is the power PI control integral coefficient, s is the Laplace operator, is the charging and discharging target power of the i-th energy storage device at the j-th time node, is the reactive power reference value, All i dq * The weight of

[0142] The inverter output three-phase current measurement value i abc Converted into dq axis current i through dq transformation dq ;

[0143] The voltage value corresponding to the current loop is calculated by the PI controller using the following formula:

[0144]

[0145] Among them, K p_c K is the current inner loop control proportional coefficient, i_c is the current inner loop control integral coefficient, u id 、u iq They are all components of the voltage value corresponding to the current loop;

[0146] The inverter dq axis voltage control target value u is calculated by the following formula: dq * , the formula is as follows:

[0147]

[0148] in, Both are u dq * The weight, L f It is the inverter filter inductor.

[0149] The charge and discharge target value u is calculated by the following formula abc * :

[0150]

[0151] in, and Both are u abc * The amount.

[0152] In some embodiments, the third determining unit 504 may be specifically configured to:

[0153] The grid voltage u of the grid is calculated by the following formula od and u oq :

[0154]

[0155] Among them, θ is the initial phase of the power grid;

[0156] The grid frequency ω of the power grid is calculated by the following formula:

[0157]

[0158] Among them, K p_PLL For K i_PLL is, s is the Laplace operator

[0159] The grid phase angle θ is calculated by the following formula * :

[0160]

[0161] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0162] According to the wind farm output power control device proposed in the embodiment of the present disclosure, the actual total output power of the wind turbines in the wind farm at the current time node and the predicted power of the wind farm corresponding to the time period to which the current time node belongs are obtained; based on the actual total output power and the predicted power of the wind farm, the power deviation ratio of the wind farm at the current time node is determined; when the power deviation ratio does not meet the preset conditions, the energy storage status data of each energy storage device at the current time node is obtained, and the charging and discharging target power of each energy storage device is determined according to the energy storage status data; based on the charging and discharging target power of each energy storage device, the corresponding charging and discharging target value of each energy storage device is determined; for each energy storage device, the energy storage device is controlled to be charged and discharged according to the corresponding charging and discharging target value of the energy storage device, so that the problem of excessive deviation between the predicted power and the actual output power of the wind farm is effectively avoided by using the energy storage device to charge and discharge in combination with the operating status of the power grid.

[0163] Figure 6 6 is a block diagram of a device for a wind farm output power control method according to an exemplary embodiment. For example, the device 600 may be an electronic device, such as a mobile phone, a computer, a digital broadcast terminal, a message transceiver device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0164] Reference Figure 6 , the device 600 may include one or more of the following components: a processing component 602 , a memory 604 , a power component 606 , a multimedia component 608 , an audio component 610 , an input / output (I / O) interface 612 , a sensor component 614 , and a communication component 616 .

[0165] The processing component 602 generally controls the overall operation of the device 600, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 602 may include one or more processors 620 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 602 may include one or more modules to facilitate the interaction between the processing component 602 and other components. For example, the processing component 602 may include a multimedia module to facilitate the interaction between the multimedia component 608 and the processing component 602.

[0166] The memory 604 is configured to store various types of data to support operations on the device 600. Examples of such data include instructions for any application or method operating on the device 600, contact data, phone book data, messages, pictures, videos, etc. The memory 604 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0167] The power component 606 provides power to the various components of the device 600. The power component 606 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 600.

[0168] The multimedia component 608 includes a screen that provides an output interface between the device 600 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 608 includes a front camera and / or a rear camera. When the device 600 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0169] The audio component 610 is configured to output and / or input audio signals. For example, the audio component 610 includes a microphone (MIC), and when the device 600 is in an operating mode, such as a call mode, a recording mode, and a speech recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 604 or sent via the communication component 616. In some embodiments, the audio component 610 also includes a speaker for outputting audio signals.

[0170] I / O interface 612 provides an interface between processing component 602 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0171] The sensor assembly 614 includes one or more sensors for providing various aspects of status assessment for the device 600. For example, the sensor assembly 614 can detect the open / closed state of the device 600, the relative positioning of components, such as the display and keypad of the device 600, and the sensor assembly 614 can also detect the position change of the device 600 or a component of the device 600, the presence or absence of user contact with the device 600, the orientation or acceleration / deceleration of the device 600, and the temperature change of the device 600. The sensor assembly 614 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 614 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 614 may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0172] The communication component 616 is configured to facilitate wired or wireless communication between the device 600 and other devices. The device 600 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 616 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0173] In an exemplary embodiment, the apparatus 600 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above method.

[0174] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 604 including instructions, and the instructions can be executed by a processor 620 of the device 600 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0175] In an exemplary embodiment, a computer program product is also provided, comprising a computer program, which implements the above method when executed by the processor 620 of the device 600 .

[0176] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0177] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for controlling output power of a wind farm, characterized in that: include: Obtaining the actual total output power of wind turbines in the wind farm at the current time node, and the predicted power of the wind farm corresponding to the time period to which the current time node belongs; Determine a power deviation ratio of the wind farm at a current time point based on the actual total output power and the predicted power of the wind farm; When the power deviation ratio value does not meet the preset condition, obtaining the energy storage status data of each energy storage device at the current time node, and determining the charging and discharging target power of each energy storage device according to the energy storage status data; Based on the charging and discharging target power of each energy storage device, determining the charging and discharging target value corresponding to each energy storage device; the power grid is a power grid that receives the electric energy output by the wind farm; For each energy storage device, the energy storage device is controlled to be charged and discharged according to the charge and discharge target value corresponding to the energy storage device, so that the power deviation proportion value meets the preset condition.

2. The wind farm output power control method according to claim 1, characterized in that: The determining, based on the actual total output power and the predicted power of the wind farm, a power deviation proportion value of the wind farm at a current time node includes: Based on the actual total output power and the predicted power of the wind farm, the power deviation ratio of the wind farm at the current time node is calculated by the following formula: Among them, P f (j) is the wind farm predicted power for the time period of the jth time node, The actual output power of the i-th wind turbine generator set among the n wind turbine generator sets in the wind farm is obtained at the j-th time node, and β(j) is the power deviation percentage value of the wind farm at the j-th time node.

3. The wind farm output power control method according to claim 1, characterized in that: When the power deviation ratio value does not meet the preset condition, obtaining the energy storage state data of each energy storage device at the current time node includes: Comparing the absolute value of the power deviation ratio with a preset ratio value; When the absolute value of the power deviation proportion is greater than the preset proportion, it is determined that the power deviation proportion does not meet the preset condition, and the energy storage state data of each energy storage device at the current time node is obtained.

4. The wind farm output power control method according to claim 3, characterized in that: The energy storage state data includes the remaining power SOC of the energy storage device; and determining the charging and discharging target power of each energy storage device according to the energy storage state data includes: The power deviation excess value is calculated by using the preset proportion value and the power deviation proportion value through the following formula: in, is the power deviation exceeding value, β * is the preset proportion value, β(j) is the power deviation proportion value, The actual output power of the i-th wind turbine among the n wind turbines in the wind farm is obtained at the j-th time node, P f (j) is the predicted power of the wind farm in the time period of the jth time node; For each energy storage device, determining a charge and discharge limit coefficient of the energy storage device using the remaining power SOC of the energy storage device; Determining a charge and discharge participation factor of each energy storage device based on a charge and discharge coefficient of the energy storage device; The target power for charging and discharging of the energy storage device is determined by using the power deviation excess value and the charging and discharging participation factor of the energy storage device.

5. The wind farm output power control method according to claim 1, characterized in that: The determining the charge and discharge target value corresponding to each energy storage device based on the charge and discharge target power of each energy storage device includes: Determining a grid phase angle of the grid at the current time node; The three-phase voltage u measured by the power grid is converted into oabc Convert to u odq , and the three-phase current i abc Convert to i dq ; The active power P of the power grid is calculated by the following formula: B,i and reactive power Q B,i : Among them, u od 、u oq Both are u odq The weight, i d 、i q All i dq The amount of The energy storage PCC point dq axis current control target value i is calculated by the following formula dq * : Among them, K p_PQ is the power PI control proportional coefficient, K i_PQ is the power PI control integral coefficient, s is the Laplace operator, is the charging and discharging target power of the i-th energy storage device at the j-th time node, is the reactive power reference value, All i dq * The amount of The inverter output three-phase current measurement value i abc Converted into dq axis current i through dq transformation dq ; The voltage value corresponding to the current loop is calculated by the PI controller using the following formula: Among them, K p_c K is the current inner loop control proportional coefficient, i_c is the integral coefficient of the inner current loop control, u id 、u iq They are all components of the voltage value corresponding to the current loop; The inverter dq axis voltage control target value u is calculated by the following formula: dq * , the formula is as follows: in, Both are u dq * The weight, L f It is the inverter filter inductor. The charge and discharge target value u is calculated by the following formula abc * : in, and Both are u abc * The amount.

6. The wind farm output power control method according to claim 5, characterized in that: The determining the grid phase angle of the grid at the current time node includes: The grid voltage u of the grid is calculated by the following formula: od and u oq : Wherein, θ is the initial phase of the power grid; The grid frequency ω of the grid is calculated by the following formula: Among them, K p_PLL For K i_PLL is, s is the Laplace operator The grid phase angle θ is calculated by the following formula * :

7. A wind farm output power control device, characterized in that: include: An acquisition unit, used to acquire the actual total output power of the wind turbines in the wind farm at the current time node, and the predicted power of the wind farm corresponding to the time period to which the current time node belongs; A first determining unit, configured to determine a power deviation percentage value of the wind farm at a current time node based on the actual total output power and the predicted power of the wind farm; A second determination unit is configured to obtain energy storage status data of each energy storage device at the current time node when the power deviation ratio value does not meet a preset condition, and determine a charge and discharge target power of each energy storage device according to the energy storage status data; A third determining unit is used to determine the charging and discharging target value corresponding to each energy storage device based on the charging and discharging target power of each energy storage device; the power grid is a power grid that receives the electric energy output by the wind farm; The fourth control unit is used to control the charging and discharging of each energy storage device according to the charging and discharging target value corresponding to the energy storage device, so that the power deviation proportion value meets the preset condition.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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

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