A control system and method for balancing active power of a wind power generator set

Abstract

The application relates to a control system and method for balancing active power of a wind power generator group, which comprises a data acquisition and processing module, a wind speed prediction module, a power prediction and distribution module, a wind power generator group, other generator groups, energy storage equipment and hydrogen production equipment; the data acquisition and processing module comprises a data acquisition module for acquiring environmental variables and a data processing module for converting the environmental variables into an input form applicable to the wind speed prediction module; the wind speed prediction module is connected with the data acquisition and processing module and is used for predicting wind speed; the power prediction and distribution module is connected with the wind speed prediction module, the wind power generator group and the hydrogen production equipment respectively and is used for predicting available power of the wind power generator group and distributing power set values; the hydrogen production equipment is connected with the wind power generator group, the other generator groups and the energy storage equipment respectively. Compared with the prior art, the application has the advantages of balancing power output and consumption and satisfying maximum hydrogen production.

Description

Technical Field

[0001] This invention relates to the field of wind power generation, and in particular to a control system and method for balancing the active power of wind turbine generator sets. Background Technology

[0002] Wind-solar hybrid power generation systems, utilizing both wind and solar energy, are a cost-effective new energy power generation system that is energy-saving, environmentally friendly, and reduces power generation costs, showing great application prospects. However, wind and solar energy are characterized by intermittency, randomness, and volatility, leading to unstable power generation and fluctuations in supply. Energy storage technology can effectively solve the problems of randomness and volatility in wind-solar hybrid power generation systems, enabling stable power generation on a large scale. Hydrogen energy, with its advantages of high energy density, no pollution, and flexible configuration, has become a strategic, efficient, and clean energy source. Its industrial development has attracted worldwide attention and importance. Furthermore, hydrogen energy, as a new form of energy storage, combined with hydrogen fuel cell backup power generation systems, can serve as a powerful supplement to improve the stability of new energy power generation, achieving uninterrupted power supply to regional power grids.

[0003] However, existing power generation systems still suffer from unbalanced power distribution, leading to power loss and failing to maximize resource utilization. Summary of the Invention

[0004] The purpose of this invention is to overcome the defects of the prior art and provide a control system and method for balancing the active power of wind turbine generator sets.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A control system for balancing the active power of a wind turbine generator set is disclosed. The control system includes a data acquisition and processing module, a wind speed prediction module, a power prediction and allocation module, the wind turbine generator set, other generator groups, an energy storage device, and a hydrogen production device. The data acquisition and processing module collects environmental variables and converts them into an input format applicable to the wind speed prediction module. The wind speed prediction module is connected to the data acquisition and processing module and uses a neural network algorithm to predict wind speed. The power prediction and allocation module is connected to the wind speed prediction module, the wind turbine generator set, and the hydrogen production device, respectively, and is used to predict the available power of each turbine position within the entire wind turbine generator set and allocate power setpoints based on the power consumption of the hydrogen production device. The hydrogen production device is connected to the wind turbine generator set, other generator groups, and the energy storage device.

[0007] Furthermore, the data acquisition and processing module includes a data acquisition module and a data processing module; the data acquisition module is used to acquire environmental variables; the data processing module is used to convert the environmental variables into an input format that can be applied by the wind speed prediction module through structured and time-synchronized operations; the data acquisition module includes a wind speed sensor, a humidity sensor, and a temperature sensor.

[0008] Furthermore, the prediction of the available power of each turbine location in the entire wind turbine generator set is specifically as follows: based on the wind speed prediction output by the wind speed prediction module within a future period T, and combined with the specific layout factors of the wind turbine generator set, the relevant wind speed input is corrected by overlaying terrain factors, thereby predicting the available power of each turbine location in the entire wind turbine generator set; within the period T, there are one or more system control cycles, and the available power of each turbine location will be output in each cycle.

[0009] Furthermore, the correction specifically involves: combining the spatial location distribution of the wind turbine generator set with wind flow field simulation technology to obtain the actual wind speed correction coefficient matrix of each turbine location under different wind speed and direction combinations, and obtaining the corrected wind speed considering the influence of the wind flow field on the wind turbine generator set according to the actual matrix position of each turbine location.

[0010] Furthermore, the period T is a variable period, with different period parameters set according to different scenarios. Specifically, when the power allocation result is used to evaluate the start-up and shutdown status of the hydrogen production equipment, the period parameter is set to a minute-level time parameter; when the power allocation result is used to evaluate the steady-state operation of the equipment, the period parameter is set to a second-level time parameter. The period parameter of the period T is related to the control cycle of the entire system.

[0011] Furthermore, the predicted available power is the power value superimposed on the predicted power range, including the maximum power value, minimum power value, and power mean square error in each consecutive control cycle within period T.

[0012] Furthermore, the power demand of the hydrogen production equipment is always in constant motion with the predicted available power of the wind turbine generator set. Specifically, this motion follows the following: when the hydrogen production equipment is operating at full load, the wind turbine generator set is in a free power generation state; when the hydrogen production equipment is operating at partial load, some wind turbine generator sets are in a free power generation state, with the free power generation units ensuring the maximum power consumption of the hydrogen production equipment. In this case, a mode is adopted where individual units are enabled to generate power freely and follow the maximum available power to the greatest extent possible, while other non-free power generation units use reduced power or energy storage methods to store electrical energy; when the maximum available power of the wind turbine generator set is less than the minimum power required to maintain the operation of the hydrogen production equipment, a judgment is made based on the stored electrical energy. If the available power of the stored electrical energy plus the maximum power of the generator set is greater than the minimum operating power of the hydrogen production equipment, individual units are enabled to generate power freely, and the energy storage devices discharge according to the set discharge power to ensure the power consumption of the hydrogen production equipment; when the available power of the stored electrical energy plus the maximum power of the generator set is less than the minimum operating power of the hydrogen production equipment, a method of sequentially shutting down some hydrogen production units is adopted to ensure power balance between the power supply and the load side.

[0013] Furthermore, the wind turbine generator set includes a first wind turbine generator and a second wind turbine generator.

[0014] Furthermore, after receiving the set power from the power prediction and distribution module, the wind turbine generator set follows the target set power through single-unit smooth control technology; the other generator sets include photovoltaic generators and hydroelectric generators.

[0015] A method for using the aforementioned control system for balancing the active power of a wind turbine generator set, the method comprising the following steps:

[0016] 1) Determine whether the maximum available power on the power supply side at the current moment is greater than the power required for a single wind turbine to operate at full load. If yes, the wind turbine can generate electricity freely, and the load side of M equipment can be put into operation. If no, proceed to 2).

[0017] 2) Determine whether the maximum available power on the power supply side plus the maximum power that the energy storage device can provide under the current condition of safe charging and discharging is greater than the power required for a single wind turbine to operate at full load. If yes, the wind turbine can generate electricity freely, the load side of M devices can be put into operation, and the energy storage device can perform energy storage charging and discharging compensation or consume power; if no, proceed to 3).

[0018] 3) Determine whether the maximum available power on the power supply side plus the maximum power that the energy storage device can provide under the current condition of safe charging and discharging is greater than the minimum power required by the load side under non-shutdown conditions. If not, the wind turbine generators stop operating and the load side shuts down. If so, the wind turbine generators generate electricity freely, the energy storage device performs power compensation, and m devices on the load side are put into operation. The formula for calculating m is as follows:

[0019]

[0020] in, This represents the maximum power available on the power supply side at the current moment. This represents the maximum power that the energy storage device can provide under the current conditions of ensuring safe charging and discharging. The required power for full-load operation on the load side, where floor represents the maximum integer not exceeding the calculated value.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] First, this invention combines wind speed prediction technology and wind turbine power stabilization control technology in the context of hydrogen production equipment. This allows the entire hydrogen production equipment to stably and effectively balance power output and consumption, while meeting the requirements of maximizing hydrogen production and optimizing energy storage configuration under this new industrial model.

[0023] Second, this invention combines the goals of maximizing energy utilization and system safety performance to make scientific decisions on the power setting of wind turbine generator sets, thereby maximizing the utilization of active power and reducing costs. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the structure of the present invention;

[0025] Figure 2 This is a flowchart of the method of the present invention, wherein, This represents the maximum power available on the power supply side at the current moment. This represents the maximum power that the energy storage device can provide under the current conditions of ensuring safe charging and discharging. The power required for full-load operation on the load side. This is the minimum power required for the load side to be in a non-shutdown condition. This refers to the power required for a single unit to operate at full load.

[0026] The numbers in the diagram represent: 10, Data Acquisition and Processing Module; 101, Data Acquisition Module; 102, Data Processing Module; 20, Wind Speed ​​Prediction Module; 30, Power Prediction and Distribution Module; 40, Wind Turbine Generator Set; 401, First Wind Turbine Generator; 402, Second Wind Turbine Generator; 50, Other Generator Sets; 60, Energy Storage Equipment; 70, Hydrogen Production Equipment. Detailed Implementation

[0027] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. These embodiments are based on the technical solution of the present invention and provide detailed implementation methods and specific operating procedures. However, the scope of protection of the present invention is not limited to the following embodiments.

[0028] like Figure 1 As shown, a control system for balancing the active power of wind turbine generator sets is disclosed. The control system includes a data acquisition and processing module 10, a wind speed prediction module 20, a power prediction and distribution module 30, wind turbine generator sets 40, other generator groups such as photovoltaic and hydroelectric generators 50, an energy storage device 60, and a hydrogen production device 70. The data acquisition and processing module 10 includes a data acquisition module 101 and a data processing module 102. The data acquisition module 101 mainly consists of wind speed sensors, humidity sensors, and temperature sensors, and is used to collect environmental variables required by the wind speed prediction module 20. The data processing module 102 is used to convert the environmental variables into an input format applicable to the wind speed prediction module 20 through structured processing and time synchronization. Specifically, the time synchronization operation involves shifting the time series data forward and backward, interpolating data, etc., to convert two or more sets of time series with inconsistent sampling time points into sequences with consistent time points.

[0029] The wind speed prediction module 20 is connected to the data acquisition and processing module 10. It uses a neural network algorithm to predict the wind speed and transmits the predicted wind speed to the power prediction and distribution module 30.

[0030] The power prediction and allocation module 30 is connected to the wind speed prediction module 20, the wind turbine generator set 40, and the hydrogen production equipment 70, respectively. Based on the wind speed prediction output of the wind speed prediction module 20 for a future period T, and combined with the specific layout factors of the wind turbine generator set 40, the module also adds terrain factors to correct the relevant wind speed input. Based on this, the module predicts the available power of each turbine position of the entire wind turbine generator set 40, and allocates the power set value in combination with the power consumption of the hydrogen production equipment 70. Within the period T, there are one or more system control cycles, and the available power of each turbine position is output in each cycle. The correction is specifically as follows: the actual wind speed correction coefficient matrix of each turbine position of the wind turbine generator set 40 under different wind speed and direction combinations is obtained by combining the spatial location distribution of the wind turbine generator set 40 with wind flow field simulation technology, as shown in Table 1. According to the actual matrix position of each turbine position, the corrected wind speed considering the influence of the wind flow field on the wind turbine generator set 40 is obtained.

[0031] Table 1. Matrix of predicted wind speed correction coefficients considering aircraft location layout and terrain factors.

[0032]

[0033] The period T is a variable period, and different period parameters can be set according to different scenarios. That is, the wind speed prediction module 20 can adjust the period to different lengths according to the key indicators of the entire system. Parameters with shorter time periods are more used in research related to system control performance and safety performance, while parameters with longer time periods are more used in research and consideration of economic analysis and optimization. When the power allocation result is used to evaluate the start-up and shutdown status of the hydrogen production equipment 70, the period parameter is set to a minute-level time parameter. When the power allocation result is used to evaluate the steady-state operation of the equipment, the period parameter is set to a second-level time parameter. The period parameter T is related to the control cycle of the entire system. The predicted available power is a range-bound output of the prediction accuracy of the power itself, including the maximum power, minimum power, and power root mean square error in each consecutive control cycle within period T. The power prediction and allocation module 30 is used to control and adjust the relationship between the actual power and available power of the wind turbine generator set 40 based on the actual power status of the wind turbine generator set 40 fed back by the wind turbine generator set 40. The wind turbine generator set 40 includes a first wind turbine generator 401 and a second wind turbine generator 402. After receiving the set power from the power prediction and distribution module 30, the wind turbine generator set 40 follows the set power of the target through the single-unit smooth control technology.

[0034] The hydrogen production equipment 70 is connected to wind turbine generator sets 40, other generator sets 50, and energy storage devices 60. The power demand of the hydrogen production equipment 70 is constantly monitored and matched with the predicted available power of the wind turbine generator sets 40. When the hydrogen production equipment 70 is operating at full load, the wind turbine generator sets 40 operate in a free-generating state, maximizing their power output to meet the power consumption of the hydrogen production equipment 70. In this case, the power allocation mode enables individual units to generate power freely while maximizing the matching of the maximum available power. When the hydrogen production equipment 70 is operating at less than full load, such as during planned maintenance or malfunctions, some units of the wind turbine generator sets 40 operate in a free-generating state. The freely generating units maximize their power output to meet the power consumption of the hydrogen production equipment 70. In this case, the mode also enables individual units to generate power freely while maximizing the matching of the maximum available power. In the maximum available power mode, other non-free generator sets store electrical energy by reducing power or through energy storage. When the maximum available power of the wind turbine generator set 40 is less than the minimum power required to maintain the operation of the hydrogen production equipment 70, a judgment is made based on the stored electrical energy. If the available power of the stored electrical energy plus the maximum power of the generator set is greater than the minimum operating power of the hydrogen production equipment 70, then individual units can generate electricity freely, and the energy storage device 60 can discharge according to the set discharge power to ensure the power consumption of the hydrogen production equipment 70. If the available power of the stored electrical energy plus the maximum power of the generator set is less than the minimum operating power of the hydrogen production equipment 70, then a method of sequentially shutting down some of the hydrogen production equipment 70 is used to ensure power balance between the power supply and the load side. The coordination relationship of the wind turbine generator set 40 under various states is set and allocated based on the available power and the actual operating health status of each wind turbine of the wind turbine generator set 40.

[0035] like Figure 2 As shown, a method for using the aforementioned control system for balancing the active power of a wind turbine generator set includes the following steps:

[0036] 1) Determine whether the maximum available power on the power supply side at the current moment is greater than the power required for a single wind turbine to operate at full load. If yes, the wind turbine generator set 40 generates power freely, and the load side M equipment is put into operation. If no, proceed to 2).

[0037] 2) Determine whether the maximum available power on the power supply side at the current moment plus the maximum power that the energy storage device 60 can provide under the current condition of safe charging and discharging is greater than the power required for a single wind turbine to operate at full load. If yes, the wind turbine 40 generates electricity freely, the load of M devices on the load side is put into operation, and the energy storage device 60 performs energy storage charging and discharging compensation or consumes power; if no, proceed to 3).

[0038] 3) Determine whether the maximum available power on the power supply side plus the maximum power that the energy storage device 60 can provide under the current condition of safe charging and discharging is greater than the minimum power required by the load side under non-shutdown conditions. If not, the wind turbine generator 40 stops operating and the load side shuts down. If so, the wind turbine generator 40 generates electricity freely, the energy storage device 60 performs power compensation, and m devices on the load side are put into operation. The formula for calculating m is as follows:

[0039]

[0040] in, This represents the maximum power available on the power supply side at the current moment. This represents the maximum power that the energy storage device 60 can provide under the current conditions of ensuring safe charging and discharging. The required power for full-load operation on the load side, where floor represents the maximum integer not exceeding the calculated value.

[0041] This invention proposes a technical solution that combines wind speed prediction technology with power stabilization control technology of wind turbine generator set 40 to achieve a balance between the output power of wind turbine generator set 40 and the power demand of hydrogen production equipment 70. For the first time, wind speed prediction technology and power stabilization control technology of wind turbine generator set 40 are combined in the scenario of hydrogen production equipment 70 (or other power consumption side). This solution meets the requirements of stable operation of the entire hydrogen production equipment 70 and the maximum hydrogen production capacity and optimal energy storage configuration in this new industrial model.

[0042] The preferred embodiments of the present invention have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of the present invention without creative effort. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning, or limited experimentation on the basis of existing technology should be within the scope of protection defined by the claims.

Claims

1. A control system for balancing the active power of a wind turbine generator set, characterized in that, The control system includes a data acquisition and processing module (10), a wind speed prediction module (20), a power prediction and distribution module (30), a wind turbine generator set (40), other generator groups (50), an energy storage device (60), and a hydrogen production device (70). The data acquisition and processing module (10) is used to collect environmental variables and convert them into an input form that can be applied by the wind speed prediction module (20). The wind speed prediction module (20) is connected to the data acquisition and processing module (10) and uses a neural network algorithm to predict the wind speed. The power prediction and distribution module (30) is connected to the wind speed prediction module (20), the wind turbine generator set (40), and the hydrogen production device (70) respectively. It is used to predict the available power of each unit of the entire wind turbine generator set (40) and distribute the power set value in combination with the power consumption of the hydrogen production device (70). The hydrogen production device (70) is connected to the wind turbine generator set (40), other generator groups (50), and the energy storage device (60) respectively. The prediction of the available power of each turbine position of the entire wind turbine generator set (40) is specifically as follows: based on the wind speed prediction output of the wind speed prediction module (20) within a future period T, and combined with the specific layout factors of the wind turbine generator set (40), the relevant wind speed input is corrected by superimposing terrain factors, thereby predicting the available power of each turbine position of the entire wind turbine generator set (40); within the period T, there are one or more system control cycles, and the available power of each turbine position will be output in each cycle; The period T is a variable period, and different period parameters are set according to different scenarios. Specifically, when the power allocation result is used to evaluate the start-up and shutdown status of the hydrogen production equipment (70), the period parameter is set to a minute-level time parameter. When the power allocation result is used to evaluate the steady-state operation of the equipment, the period parameter is set to a second-level time parameter. The period parameter of the period T is related to the control cycle of the entire system. The predicted available power is the power value superimposed on the predicted power range, including the maximum power value, minimum power value, and power mean square error in each consecutive control cycle within the period T. The power demand of the hydrogen production equipment (70) is always in a constant following relationship with the predicted available power of the wind turbine generator set (40); the constant following relationship is as follows: when the hydrogen production equipment (70) is operating at full load, the wind turbine generator set (40) is in a free power generation state; when the hydrogen production equipment (70) is operating at partial load, the wind turbine generator set (40) is in a state of partial free power generation, and the free power generation units can guarantee the power consumption of the hydrogen production equipment (70) to the maximum extent. At this time, the mode of enabling single-unit free power generation and following the maximum available power is adopted, and other non-free power generation units adopt a mode of reducing power or Energy storage is used to store electrical energy. When the maximum available power of the wind turbine generator set (40) is less than the minimum power required to maintain the operation of the hydrogen production equipment (70), the situation of stored electrical energy is judged. When the available power of stored electrical energy plus the maximum power of the generator set is greater than the minimum operating power of the hydrogen production equipment (70), the single unit can generate electricity freely and the energy storage device (60) can discharge according to the set discharge power to ensure the power consumption of the hydrogen production equipment (70). When the available power of stored electrical energy plus the maximum power of the generator set is less than the minimum operating power of the hydrogen production equipment (70), the method of sequentially shutting down some hydrogen production equipment (70) is adopted to ensure the power balance between the power supply and the load side.

2. A control system for balancing the active power of a wind turbine generator set according to claim 1, characterized in that, The data acquisition and processing module (10) includes a data acquisition module (101) and a data processing module (102); the data acquisition module (101) is used to acquire environmental variables; the data processing module (102) is used to convert the environmental variables into an input form that can be applied by the wind speed prediction module (20) through structured and time-synchronized operations; the data acquisition module (101) includes a wind speed sensor, a humidity sensor and a temperature sensor.

3. A control system for balancing the active power of a wind turbine generator set according to claim 1, characterized in that, The correction is specifically as follows: combining the spatial location distribution of the wind turbine generator set (40) with the wind flow field simulation technology to obtain the actual wind speed correction coefficient matrix of each position of the wind turbine generator set (40) under different wind speed and wind direction combinations, and according to the actual matrix position of each position, the corrected wind speed situation considering the influence of the wind flow field on the wind turbine generator set (40) is obtained.

4. A control system for balancing the active power of a wind turbine generator set according to claim 1, characterized in that, The wind turbine generator set (40) includes a first wind turbine generator (401) and a second wind turbine generator (402).

5. A control system for balancing the active power of a wind turbine generator set according to claim 4, characterized in that, After receiving the set power from the power prediction and distribution module (30), the wind turbine generator set (40) follows the target set power through the single-machine smooth control technology; the other generator sets (50) include photovoltaic generators and hydroelectric generators.

6. A method for using the control system for balancing the active power of a wind turbine generator set as described in claim 1, characterized in that, The method includes the following steps: 1) Determine whether the maximum available power on the power supply side at the current moment is greater than the power required for a single wind turbine to operate at full load. If so, the wind turbine generator set (40) generates electricity freely, and the load of M equipment on the load side is put into operation; if not, proceed to 2). 2) Determine whether the maximum available power on the power supply side plus the maximum power that the energy storage device (60) can provide under the current condition of safe charging and discharging is greater than the power required for a single wind turbine to operate at full load. If yes, the wind turbine (40) generates electricity freely, the load of M devices on the load side is put into operation, and the energy storage device (60) performs energy storage charging and discharging compensation or consumes power; if no, proceed to 3). 3) Determine whether the maximum available power on the power supply side plus the maximum power that the energy storage device (60) can provide under the current condition of safe charging and discharging is greater than the minimum power required by the load side under non-shutdown conditions. If not, the wind turbine generator (40) stops operating and the load side shuts down. If so, the wind turbine generator (40) generates electricity freely, the energy storage device (60) performs power compensation, and the load side's m devices are put into operation. The calculation formula for m is as follows: in, This represents the maximum power available on the power supply side at the current moment. The maximum power that the energy storage device (60) can provide under the current conditions of safe charging and discharging. The power required for full-load operation on the load side. Represents the largest integer not exceeding the calculated value.

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