Wind power master control real-time simulation test method and system

Abstract

The invention provides a wind power master control real-time simulation test method and system, and belongs to the technical field of wind power, and the method comprises the steps: constructing a wind power master control real-time simulation model which comprises a fan simulation module, a master control module and a real-time optimization module; the wind power simulation module obtains operation parameters and transmits the operation parameters to the real-time optimization module; the real-time optimization module evaluates the operation state of the wind power simulation module based on the operation parameters, optimizes a main control algorithm according to the operation state and transmits the main control algorithm to the main control module; and the main control module controls the fan simulation module to perform real-time simulation according to the real-time optimized control algorithm. The power generation performance of the simulation fan simulation module is evaluated through the real-time optimization module, whether a main control algorithm is reasonable or not is evaluated, meanwhile, an optimization target is found, the control algorithm of the main control module is adjusted in real time, and the stability and reliability of simulation are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind power, and in particular relates to a real-time simulation test method and system for a wind power main control. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] With the development of new energy technologies, wind turbine power generation has become an important source of energy. Due to the high cost of operating wind turbines, it is necessary to fully verify the power generation performance of wind turbines in the laboratory before they are actually put into use in order to reduce costs.

[0004] Simulation is usually used to test the power generation performance of wind turbines in advance, but the existing simulation test systems usually include a wind power simulation system and a wind power main control system to be tested connected to it. The simulation is achieved through data transmission between the simulation system and the main control system, but the data interaction between the two is usually unilateral control of the simulation system by the main control system. It is impossible to know whether the main control algorithm is reasonable or whether the simulation performance meets the standards, and the main control algorithm cannot obtain feedback on the simulation performance. Summary of the invention

[0005] In order to overcome the shortcomings of the above-mentioned prior art, the present invention proposes a real-time simulation test method and system for wind power main control, which evaluates the power generation performance of the simulated wind turbine simulation module through a real-time optimization module, evaluates whether the main control algorithm is reasonable, finds the optimization target, and adjusts the control algorithm of the main control module in real time to improve the stability and reliability of the simulation.

[0006] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions: In a first aspect, a real-time simulation test method for a wind power main control is disclosed, comprising: Construct a real-time simulation model for wind power master control, including wind turbine simulation module, master control module, and real-time optimization module; The wind power simulation module obtains the operating parameters and transmits them to the real-time optimization module; The real-time optimization module evaluates the operating status of the wind power simulation module based on the operating parameters, optimizes the main control algorithm according to the operating status and transmits it to the main control module; The main control module controls the fan simulation module to perform real-time simulation according to the real-time optimized control algorithm.

[0007] Furthermore, the fan simulation module includes: a unit mechanical model and a unit electrical model.

[0008] Furthermore, the fan simulation module is connected to the main control module via a serial I / O module for transmission of the main control algorithm between the fan simulation module and the main control module; The real-time optimization module is connected to the fan simulation module and the main control module through Ethernet respectively, and is used to receive the operating data of the fan simulation module to evaluate the operating status, and adjust the main control algorithm according to the evaluation results and send them to the main control system.

[0009] Furthermore, the operating parameters include mechanical data and electrical data. The mechanical data include impeller speed, wind speed, wind direction, mechanical power, impeller speed ratio, and wind energy utilization coefficient; the electrical data include unit voltage, unit current, switch status, active power, reactive power, and electric energy phase difference.

[0010] Furthermore, the impeller speed ratio represents the ratio of the rotation speed of the wind wheel blades to the wind speed, which is expressed as:

[0011] in, is the impeller speed ratio, is the impeller speed, is the radius of the fan impeller, is the wind speed.

[0012] Furthermore, the wind energy utilization coefficient represents the extent to which the wind turbine absorbs energy from natural wind energy, and is expressed as:

[0013] in, is the wind energy utilization coefficient, is the mechanical power, is the air density, is the swept cross-sectional area of ​​the impeller.

[0014] Furthermore, the real-time optimization module evaluates the operating status of the wind power simulation module based on the operating parameters, specifically including: Obtain the operating parameters of the wind power simulation module, concatenate all the parameters at each detection time into a row vector as the first feature, and combine a row vector and a label indicating whether optimization is needed into a sample; use the samples of historical time as training set data; The decision tree model is trained using the training set data and the evaluation unit is constructed; The constructed evaluation unit is used to evaluate whether the operating parameters of real-time transmission need to be optimized, and the top three important parameters are used as optimization targets to debug the corresponding control signals in the main control algorithm.

[0015] In the second aspect, a wind power main control real-time simulation test system is disclosed, comprising: A fan simulation module, which is configured to: perform real-time simulation and obtain operating parameters and transmit them to the real-time optimization module; A main control module is configured to: control the fan simulation module to perform real-time simulation according to a real-time optimized control algorithm; The real-time optimization module is configured to: evaluate the operating status of the wind power simulation module based on the operating parameters, optimize the main control algorithm according to the operating status and transmit it to the main control module.

[0016] Furthermore, the fan simulation module includes: a unit mechanical model and a unit electrical model.

[0017] Furthermore, the fan simulation module is connected to the main control module via a serial I / O module for transmission of the main control algorithm between the fan simulation module and the main control module; The real-time optimization module is connected to the fan simulation module and the main control module through Ethernet respectively, and is used to receive the operating data of the fan simulation module to evaluate the operating status, and adjust the main control algorithm according to the evaluation results and send them to the main control system.

[0018] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a wind power main control real-time simulation test method and system, which evaluates the power generation performance of the simulated wind turbine simulation module through a real-time optimization module, evaluates whether the main control algorithm is reasonable, finds the optimization target, adjusts the control algorithm of the main control module in real time, and improves the stability and reliability of the simulation.

[0019] The decision tree algorithm is used to construct the evaluation unit, which not only obtains the evaluation classification results, but also obtains the main operating parameters that affect the power generation performance of the wind turbine, accurately optimizes the main control algorithm, and improves the effectiveness of the simulation.

[0020] The real-time simulation test system for wind power main control is built based on RT-LAB, which has low system development difficulty, low development cost and convenient use.

[0021] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0023] Figure 1 This is a flow chart of the real-time simulation test method for wind power master control described in the first embodiment of the present invention.

[0024] Figure 2 This is a schematic diagram of a wind power master control real-time simulation test system described in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0025] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0026] It should be noted that the terms used herein are for describing specific embodiments only and are not intended to be limiting of exemplary embodiments according to the present invention.

[0027] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0028] Embodiment 1 In one or more embodiments, a wind power master control real-time simulation test method is disclosed, comprising the following steps: Step S1, constructing a wind power master control real-time simulation model, including a wind turbine simulation module, a master control module, and a real-time optimization module; Among them, the fan simulation module includes: unit mechanical model and unit electrical model; The fan simulation module is connected to the main control module via a serial I / O module, which is used for transmission of the main control algorithm between the fan simulation module and the main control module; The real-time optimization module is connected to the fan simulation module and the main control module through Ethernet, and is used to receive the operation data of the fan simulation module to evaluate the operation status, and adjust the main control algorithm according to the evaluation results and send them to the main control system; Step S2: The wind power simulation module obtains operating parameters and transmits them to the real-time optimization module; The operating data includes mechanical data and electrical data. The mechanical data includes impeller speed, wind speed, wind direction, mechanical power, impeller speed ratio, and wind energy utilization coefficient; the electrical data includes unit voltage, unit current, switch status, active power, reactive power, and electric energy phase difference.

[0029] Specifically, the impeller speed ratio represents the ratio of the rotation speed of the wind rotor blades to the wind speed, which is expressed as: (1) in, is the impeller speed ratio, is the impeller speed, is the radius of the fan impeller, is the wind speed.

[0030] The longer the blades or the faster the speed, the greater the value of the impeller speed ratio at the same wind speed. The impeller speed ratio directly affects the wind energy conversion efficiency. By adjusting the impeller speed ratio, the design of the wind turbine can be optimized to achieve maximum wind energy tracking. The optimized control strategy can enable the wind turbine to operate in a larger speed range, thereby improving the operating efficiency. At the same time, the control of the impeller speed ratio can also improve the stability and reliability of the wind power generation simulation model. By accurately controlling the tip speed ratio, the vibration and noise of the wind turbine at low wind speeds can be reduced, the service life of the equipment can be extended, and the overall operating efficiency can be improved.

[0031] The wind energy utilization coefficient represents the extent to which the wind turbine absorbs energy from natural wind energy, expressed as: (2) in, is the wind energy utilization coefficient, is the mechanical power, is the air density, is the swept cross-sectional area of ​​the impeller.

[0032] The wind energy utilization coefficient directly affects the output power of wind turbines. The greater the wind energy utilization coefficient, the higher the efficiency of the wind turbine, and the more wind energy can be converted into electrical energy. The wind energy utilization coefficient can be improved through blade design and optimized control methods. The optimization of wind energy utilization coefficient can reduce the energy consumption of wind turbines and reduce operating costs. Step S3: The real-time optimization module evaluates the operating status of the wind power simulation module based on the operating parameters, optimizes the main control algorithm according to the operating status, and transmits the optimization to the main control module.

[0033] Step S301, the real-time optimization module obtains the operating parameters of the wind power simulation module, splices all the parameters of each detection time into a row vector as the first feature, and combines a row vector and a label indicating whether optimization is required into a sample; the samples of historical time are used as training set data.

[0034] Step S302: training a decision tree model using training set data and constructing an evaluation unit; Specifically: a decision tree model is used to classify each first feature to obtain an evaluation conclusion on whether optimization is needed; If the classification result is that optimization is required, the information gain of each operating parameter in the first feature is calculated and sorted to obtain the top three important parameters; The information gain calculation for each operating parameter can be expressed as: (3) in, is the information gain for each operating parameter; is the number of samples in the training set; is the operating parameter; Whether the number of samples for each category needs to be optimized; is the number of samples contained in the vth branch node in the running parameter x; is the number of samples contained in the kth category among the number of samples contained in the vth branch node in the running parameter x.

[0035] By calculating the information gain of each operating parameter, the classification ability of each parameter in the evaluation and classification process is characterized. The larger the information gain, the greater the change in the amount of information brought by the operating parameter when the evaluation unit classifies the sample, that is, the operating parameter has a stronger classification ability of the operating status of the wind turbine.

[0036] Step S303: using the constructed evaluation unit, evaluate whether the operating parameters of the real-time transmission need to be optimized, and use the first three important parameters as optimization targets to debug the corresponding control signals in the main control algorithm.

[0037] Step S4: The main control module controls the wind turbine simulation module to perform real-time simulation according to the real-time optimized control algorithm. Through the continuous optimization of the main control algorithm, the effective control of the main control module is ensured, the stable and reliable operation of the wind turbine is ensured, and the control performance and reliability of the main control system are improved.

[0038] Embodiment 2 In one or more embodiments, a wind power main control real-time simulation test system is disclosed, specifically comprising: A fan simulation module, which is configured to: perform real-time simulation and obtain operating parameters and transmit them to the real-time optimization module; A main control module is configured to: control the fan simulation module to perform real-time simulation according to a real-time optimized control algorithm; The real-time optimization module is configured to: evaluate the operating status of the wind power simulation module based on the operating parameters, optimize the main control algorithm according to the operating status and transmit it to the main control module.

[0039] In this embodiment, the fan simulation module includes: a unit mechanical model and a unit electrical model.

[0040] In this embodiment, the fan simulation module and the main control module are connected via a serial I / O module, which is used for transmission of the main control algorithm between the fan simulation module and the main control module; The real-time optimization module is connected to the fan simulation module and the main control module through Ethernet respectively, and is used to receive the operating data of the fan simulation module to evaluate the operating status, and adjust the main control algorithm according to the evaluation results and send them to the main control system.

[0041] In this embodiment, a wind power master control real-time simulation system is established based on RT-LAB, and the system has a short development cycle, low development cost, and is easy to use.

[0042] The description of each embodiment in the above embodiments has different emphases. For parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0043] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A real-time simulation test method for wind power master control, characterized in that: include: Construct a real-time simulation model for wind power master control, including wind turbine simulation module, master control module, and real-time optimization module; The wind power simulation module obtains the operating parameters and transmits them to the real-time optimization module; The real-time optimization module evaluates the operating status of the wind power simulation module based on the operating parameters, optimizes the main control algorithm according to the operating status and transmits it to the main control module; The main control module controls the fan simulation module to perform real-time simulation according to the real-time optimized control algorithm.

2. A wind power master control real-time simulation test method as claimed in claim 1, characterized in that: The fan simulation module includes a unit mechanical model and a unit electrical model.

3. A wind power master control real-time simulation test method as claimed in claim 1, characterized in that: The fan simulation module is connected to the main control module via a serial I / O module, which is used for transmission of the main control algorithm between the fan simulation module and the main control module; The real-time optimization module is connected to the fan simulation module and the main control module through Ethernet respectively, and is used to receive the operating data of the fan simulation module to evaluate the operating status, and adjust the main control algorithm according to the evaluation results and send them to the main control system.

4. A wind power master control real-time simulation test method as claimed in claim 1, characterized in that: The operating parameters include mechanical data and electrical data. The mechanical data include impeller speed, wind speed, wind direction, mechanical power, impeller speed ratio, and wind energy utilization coefficient; the electrical data include unit voltage, unit current, switch status, active power, reactive power, and electric energy phase difference.

5. A wind power master control real-time simulation test method as claimed in claim 4, characterized in that: The impeller speed ratio represents the ratio of the rotation speed of the wind wheel blades to the wind speed, which is expressed as: in, is the impeller speed ratio, is the impeller speed, is the radius of the fan impeller, is the wind speed.

6. A wind power master control real-time simulation test method as claimed in claim 4, characterized in that: The wind energy utilization coefficient represents the extent to which the wind turbine absorbs energy from natural wind energy, and is expressed as: in, is the wind energy utilization coefficient, is the mechanical power, is the air density, is the swept cross-sectional area of ​​the impeller.

7. A wind power master control real-time simulation test method as claimed in claim 1, characterized in that: The real-time optimization module evaluates the operating status of the wind power simulation module based on the operating parameters, specifically including: Obtain the operating parameters of the wind power simulation module, concatenate all the parameters at each detection time into a row vector as the first feature, and combine a row vector and a label indicating whether optimization is needed into a sample; use the samples of historical time as training set data; The decision tree model is trained using the training set data and the evaluation unit is constructed; The constructed evaluation unit is used to evaluate whether the operating parameters of real-time transmission need to be optimized, and the top three important parameters are used as optimization targets to debug the corresponding control signals in the main control algorithm.

8. A wind power master control real-time simulation test system, characterized in that: include: A fan simulation module, which is configured to: perform real-time simulation and obtain operating parameters and transmit them to the real-time optimization module; A main control module is configured to: control the fan simulation module to perform real-time simulation according to a real-time optimized control algorithm; The real-time optimization module is configured to: evaluate the operating status of the wind power simulation module based on the operating parameters, optimize the main control algorithm according to the operating status and transmit it to the main control module.

9. A wind power master control real-time simulation test system as claimed in claim 8, characterized in that: The fan simulation module includes: a unit mechanical model and a unit electrical model.

10. A wind power master control real-time simulation test system as claimed in claim 8, characterized in that: The fan simulation module is connected to the main control module via a serial I / O module, which is used for transmission of the main control algorithm between the fan simulation module and the main control module; The real-time optimization module is connected to the fan simulation module and the main control module through Ethernet respectively, and is used to receive the operating data of the fan simulation module to evaluate the operating status, and adjust the main control algorithm according to the evaluation results and send them to the main control system.

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