Wind power plant regulation and control method and system based on gearbox temperature rise change

Abstract

The invention relates to the technical field of wind power generation, in particular to a wind power plant regulation and control method and system based on gearbox temperature rise changes. The method comprises the following steps: calculating the sensitivity coefficient of the steady-state temperature and the active power of lubricating oil in a fan gear box at an initial moment based on the sensitivity coefficient of the power loss and the active power of the fan gear box at the initial moment and the sensitivity coefficient of the steady-state temperature and the power loss of the gear box; based on the sensitivity coefficient of the steady-state temperature and the active power of lubricating oil in the fan gear box at the initial moment, the steady-state temperature of the lubricating oil in each fan gear box and the increment of the active power of each fan from the initial moment to the moment to be regulated and controlled; and constructing a correlation model of the steady-state temperature and the active power of the lubricating oil in the gearbox of each fan at the to-be-regulated moment, constructing a wind power plant regulation model at the to-be-regulated moment based on the correlation model, and solving a target power generation strategy at the to-be-regulated moment. The operation reliability and economical efficiency of the wind power plant are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and particularly relates to a wind farm regulation method and system based on the temperature rise change of a gearbox. Background Art

[0002] As one of the most economically valuable green energy sources in today's society, wind energy has received widespread attention and vigorous development around the world. With the large-scale application of wind power represented by wind turbine clusters, the randomness, unpredictability, and low controllability of wind power have brought new challenges to the power balance and safe operation of the power grid. Under complex and harsh natural environments, wind turbines are long-term exposed to extreme conditions such as strong winds, low temperatures, and dust, resulting in a high failure rate. According to industry statistics, the operation and maintenance costs of wind turbines account for a relatively high proportion in the life cycle costs of the entire wind power project, and the high failure rate undoubtedly further pushes up this cost, becoming a major obstacle that needs to be overcome urgently on the healthy development path of the wind power industry.

[0003] Statistical data shows that the over-temperature failure of the gearbox ranks among the top in various wind turbine failures. As a core key component of the wind turbine generator set, its operating state is directly related to the stability and economy of the entire system. During actual operation, the gearbox faces many challenges. Among them, the problem of excessive oil temperature of the gearbox caused by factors such as poor heat dissipation and long-term continuous operation of the unit is particularly prominent. When the oil temperature of the gearbox is too high, on the one hand, it will trigger the self-limiting load mechanism of the fan, resulting in a decrease in the active power following ability of the whole field and seriously affecting the power generation; on the other hand, the high-temperature environment will have a direct negative impact on the working state of the gearbox, accelerating component wear, shortening its service life, and increasing maintenance costs and downtime. As the service life of wind turbines increases, the over-temperature problem of the gearboxes of some wind farm units becomes more and more prominent, which has become an important factor restricting the economic benefits and stable operation of wind farms. The existing wind farm regulation methods usually only input the initial data into a regulation model that only considers voltage safety and power tracking, solve the reference values of the active power and reactive power of each wind turbine at the moment to be regulated, and then control the power generation power and operating state of each fan, while ignoring the impact of the gearbox temperature on the operation of the wind farm, resulting in poor accuracy of the reference values of the active power and reactive power of each wind turbine at the moment to be regulated, and may cause the gearbox to face the risk of overheating in subsequent operations. Therefore, there is an urgent need for a multi-level regulation method that can coordinate the health status of the unit gearbox and the system performance in real time to improve the operation reliability and economy of the wind farm. Summary of the Invention

[0004] To this end, the technical problem to be solved by the present invention is to overcome the defect that the existing wind farm regulation method does not consider the influence of the gearbox oil temperature, resulting in poor accuracy of the active power reference value and reactive power reference value of each wind turbine at the moment to be regulated. When controlling the power generation power and operating state of each fan, it is easy to cause the gearbox over-temperature fault, reducing the power generation performance of the wind farm and damaging the equipment health.

[0005] To solve the above technical problem, the present invention provides a wind farm regulation method based on the temperature rise change of the gearbox, including: Based on the sensitivity coefficient of the power loss of the wind turbine gearbox at the initial moment and the active power, and the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the gearbox and the power loss of the gearbox, calculate the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power at the initial moment, so as to construct the correlation model between the steady-state temperature of the lubricating oil inside the gearbox of each wind turbine and the active power at the moment to be regulated; Based on the correlation model between the terminal voltage and the output power of each wind turbine at the moment to be regulated, the correlation model between the network loss and the output power, and the correlation model between the steady-state temperature of the lubricating oil inside the gearbox and the active power, with the goal of minimizing the weighted sum of the deviation between the terminal voltage and the bus voltage at the moment to be regulated and the reference value, the deviation between the steady-state temperature of the lubricating oil inside the gearbox and the ambient temperature, and the network loss, construct the wind farm regulation model at the moment to be regulated; Input the wind turbine parameters at the initial moment into the wind farm regulation model at the moment to be regulated, and solve the target power generation strategy at the moment to be regulated.

[0006] Preferably, the calculation formula for the sensitivity coefficient of the power loss of the wind turbine gearbox at the initial moment and the active power is: , Wherein, is the sensitivity coefficient of the power loss of the wind turbine gearbox at the initial moment and the active power, is the partial derivative, is the power loss of the wind turbine gearbox, is the active power of the wind turbine, is the tooth face width, is the average oil film thickness, is the tooth face contact ratio, is the pressure angle, is the helix angle, is the efficiency of the wind turbine, is the torque of the wind turbine at the initial moment, is the sliding friction coefficient, is the gearbox transmission ratio, is the base circle radius of the gear, is the number of teeth of the driving gear, is the number of teeth of the driven gear, is the proportionality coefficient between the bearing speed and the wind turbine speed, is the friction coefficient, is the average diameter of the bearing, is the load distribution coefficient.

[0007] Preferably, the calculation formula for the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the power loss of the gearbox is: , where, is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the power loss of the gearbox, is the partial derivative, is the steady-state temperature of the lubricating oil inside the wind turbine gearbox, is the power loss of the wind turbine gearbox, is the total heat transfer coefficient, is the heat dissipation area of the gearbox, is the specific heat capacity of the lubricating oil, is the density of the lubricating oil, is the flow rate of the lubricating oil at the initial moment.

[0008] Preferably, the calculation formula for the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the active power is: , where, is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the active power, is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the power loss of the gearbox, is the sensitivity coefficient of the power loss of the wind turbine gearbox at the initial moment and the active power, is the partial derivative, is the steady-state temperature of the lubricating oil inside the wind turbine gearbox, is the power loss of the wind turbine gearbox, is the active power of the wind turbine.

[0009] Preferably, based on the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the active power, the steady-state temperature of the lubricating oil inside each wind turbine gearbox, and the increment of the active power of each wind turbine from the initial moment to the moment to be regulated, a correlation model between the steady-state temperature of the lubricating oil inside each wind turbine gearbox and the active power at the moment to be regulated is constructed: , wherein, is the steady-state temperature of the lubricating oil inside the gearbox of the th wind turbine at time is the steady-state temperature of the lubricating oil inside the gearbox of the th wind turbine at the initial time, is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the gearbox of the wind turbine to the active power at the initial time, is the partial derivative, is the steady-state temperature of the lubricating oil inside the gearbox of the wind turbine, is the active power of the wind turbine,

[0010] Preferably, the objective function of the wind farm control model at the time to be regulated is: , wherein, is the objective function for minimizing the voltage deviation at time based on the weighted sum of the deviations between the terminal voltages of each wind turbine and their reference values, and the deviations between the bus voltages and their reference values at time is the objective function for controlling the gearbox temperature at time based on the deviations between the steady-state temperature of the lubricating oil inside the gearbox of each wind turbine and the ambient temperature at time is the objective function for minimizing the network loss at time based on the network losses of each wind turbine at time is the objective function of the wind farm control model at time is the weight coefficient of the objective function for minimizing the voltage deviation, is the weight coefficient of the objective function for controlling the gearbox temperature,

[0011] Preferably, the objective function for controlling the gearbox temperature at time , wherein, is the target function for regulating the temperature of the gearbox at time is the number of wind turbines, is the square of the two-norm, is the steady-state temperature of the lubricating oil inside the gearbox of the th wind turbine at time is the ambient temperature, is the minimization function, is the wind power generator index, is the time.

[0012] Preferably, at the initial time, it is judged whether the deviation between the voltage of any node in the wind farm power system and the reference value of the node voltage exceeds the set threshold. If it exceeds, then is set. If none of them exceed, then is set.

[0013] Preferably, the constraint conditions of the wind farm regulation model at the time to be regulated include: active power balance constraint, reference active power boundary constraint, and reference reactive power boundary constraint.

[0014] The present invention also provides a wind farm regulation system based on the temperature rise change of the gearbox, including: An associated model construction module, configured to calculate the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the gearbox of the wind turbine at the initial time and the active power based on the sensitivity coefficient of the power loss of the wind turbine gearbox and the active power, and the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the gearbox and the power loss of the gearbox at the initial time, so as to construct an association model between the steady-state temperature of the lubricating oil inside the gearbox of each wind turbine and the active power at the time to be regulated; A regulation model construction module, configured to construct a wind farm regulation model at the time to be regulated with the goal of minimizing the weighted sum of the deviations between the terminal voltage and the bus voltage at the time to be regulated and the reference value, the deviation between the steady-state temperature of the lubricating oil inside the gearbox and the ambient temperature, and the network loss, based on the association model between the terminal voltage and the output power of each wind turbine, the association model between the network loss and the output power, and the association model between the steady-state temperature of the lubricating oil inside the gearbox and the active power at the time to be regulated; A strategy solving module, configured to input the wind turbine parameters at the initial time into the wind farm regulation model at the time to be regulated, and solve the target power generation strategy at the time to be regulated.

[0015] The above technical solution of the present invention has the following beneficial effects compared with the prior art: A wind farm regulation method and system based on the temperature rise change of a gearbox. Since there is no direct relationship between the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power, the present invention uses the power loss of the wind turbine gearbox as an intermediate quantity. Based on the sensitivity coefficient between the power loss and the active power of the wind turbine gearbox at the initial moment, and the sensitivity coefficient between the steady-state temperature of the lubricating oil inside the gearbox and the power loss of the gearbox, the sensitivity coefficient for calculating the steady-state temperature and the active power of the lubricating oil inside the wind turbine gearbox at the initial moment is indirectly obtained. Based on the obtained sensitivity coefficient, a correlation model between the steady-state temperature of the lubricating oil inside each wind turbine gearbox and the active power at the moment to be regulated is further constructed. This model can predict the steady-state temperature of the lubricating oil inside the gearbox in real-time and dynamically according to the change of the active power of the wind turbine unit. Taking the weighted sum of minimizing the deviation between the terminal voltage and the bus voltage and the reference value at the moment to be regulated, the deviation between the steady-state temperature of the lubricating oil inside the gearbox and the ambient temperature, and the network loss as the goal, a wind farm regulation model at the moment to be regulated is constructed, and the target power generation strategy at the moment to be regulated is solved. The present invention incorporates the deviation between the steady-state temperature of the lubricating oil inside the gearbox and the ambient temperature into one of the optimization objectives, and comprehensively considers it together with the deviation of the terminal voltage and the bus voltage and the network loss. By solving the wind farm regulation model at the moment to be regulated, the obtained target power generation strategy can maintain the gearbox oil temperature within a reasonable range while ensuring the stable operation of the power system. It solves the defect that the accuracy of the reference values of the active power and the reactive power of each wind turbine obtained by the existing wind farm regulation method is poor, and it is easy to cause over-temperature faults of the gearbox when controlling the power generation power and the operating state of each wind turbine, ensuring the efficient, stable and reliable operation of the wind farm, extending the service life of the equipment, and improving the overall power generation efficiency of the wind farm. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to make the content of the present invention easier to be clearly understood, the following further describes the present invention in detail according to the specific embodiments of the present invention in conjunction with the drawings, wherein: Figure 1 is a flow schematic diagram of a wind farm regulation method based on the temperature rise change of a gearbox of the present invention.

[0017] Figure 2 is a structural diagram of a wind farm regulation method based on the temperature rise change of a gearbox of the present invention.

[0018] Figure 3 is a schematic diagram of the change trend of the weight coefficients of each objective function in the wind farm regulation model at the moment to be regulated.

[0019] Figure 4 is a topological structure diagram of a wind farm.

[0020] Figure 5When the regulation is carried out by using a wind farm regulation method based on the temperature rise change of the gearbox according to the present invention, it is a simulation diagram of the steady-state temperature of the lubricating oil inside the wind turbine gearbox changing with time.

[0021] Figure 6 When the regulation is carried out by using the proportional-derivative control method, it is a simulation diagram of the steady-state temperature of the lubricating oil inside the wind turbine gearbox changing with time.

[0022] Figure 7 When the regulation is carried out by using a wind farm regulation method based on the temperature rise change of the gearbox according to the present invention, it is a simulation diagram of the terminal voltage of the wind turbine changing with time.

[0023] Figure 8 When the regulation is carried out by using the proportional-derivative control method, it is a simulation diagram of the terminal voltage of the wind turbine changing with time. Specific embodiments

[0024] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and be able to implement it, but the illustrated embodiments are not intended to limit the present invention.

[0025] Refer to Figure 1 As shown, Embodiment 1 of the present invention provides a wind farm regulation method based on the temperature rise change of the gearbox, including the following steps: As Figure 2 shown, Figure 2 It is a structural diagram of a wind farm regulation method based on the temperature rise change of the gearbox according to the present invention.

[0026] Step S1: Based on the sensitivity coefficient of the power loss of the wind turbine gearbox at the initial moment and the active power, and the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the gearbox and the power loss of the gearbox, calculate the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power at the initial moment, so as to construct a correlation model between the steady-state temperature of the lubricating oil inside each wind turbine gearbox and the active power at the moment to be regulated; The power loss of the gearbox is the main heat source causing the temperature rise of the gearbox, which consists of two parts, namely gear meshing loss and bearing friction loss . The gear meshing loss can be further divided into rolling friction loss and sliding friction loss .

[0027] The calculation formulas for rolling friction loss , sliding friction loss , and bearing friction loss are as follows: , Among them, is the rolling friction loss of the gearbox, is the sliding friction loss of the gearbox, is the bearing friction loss of the gearbox, is the face width, is the average oil film thickness, is the face contact ratio, is the helix angle, , is the average rolling speed, is the sliding friction coefficient, , is the average sliding speed, is the number of teeth of the driving gear, is the number of teeth of the driven gear, is the gear rotational speed, is the length of the line of action, , is the normal load, is the active power of the wind turbine, is the efficiency of the wind turbine, is the generator rotational speed, is the base circle radius of the gear, , is the proportionality coefficient between the bearing rotational speed and the generator rotational speed, is the bearing rotational speed, , is the friction coefficient, is the average diameter of the bearing, , is the load distribution coefficient, is the gearbox transmission ratio, is the bearing load.

[0028] The power loss of the wind turbine gearbox is the sum of the gear meshing loss and the bearing friction loss, and the formula is: , In this embodiment, specifically, the calculation formula for the sensitivity coefficient of the power loss of the wind turbine gearbox to the active power at the initial moment is: , Among them, is the sensitivity coefficient of the power loss of the wind turbine gearbox to the active power at the initial moment, is the partial derivative, is the power loss of the wind turbine gearbox, is the active power of the wind turbine, is the face width, is the average oil film thickness, is the contact ratio of tooth surface, is the pressure angle, is the helix angle, is the efficiency of the wind turbine, is the torque of the wind turbine at the initial moment, is the sliding friction coefficient, is the gearbox transmission ratio, is the base circle radius of the gear, is the number of teeth of the driving gear, is the number of teeth of the driven gear, is the proportionality coefficient between the bearing speed and the wind turbine speed, is the friction coefficient, is the average diameter of the bearing, is the load distribution coefficient.

[0029] The heat transfer in the gearbox is divided into two parts. The first part is that the heat of the lubricating oil is partially transferred to the gearbox wall and dissipated into the air. The second part is carried by the flow of the lubricating oil to the external cooler for heat dissipation. The specific calculation formula is: , Among them, represents the heat dissipation of the gearbox surface, represents the heat dissipation of the lubricating oil cooling system, is the total heat transfer coefficient, is the convective heat transfer coefficient of the lubricating oil, is the natural convective heat transfer coefficient of the air, is the thickness of the gearbox wall, is the heat dissipation area of the gearbox, is the thermal conductivity of the gearbox material, and are the specific heat capacity and density of the lubricating oil respectively, is the flow rate of the lubricating oil, is the ambient temperature, represents the temperature of the lubricating oil inside the gearbox.

[0030] The heat balance equation of the gearbox is expressed as: , By solving this equation, the steady-state temperature of the lubricating oil inside the gearbox can be determined The expression of , In this embodiment, specifically, the calculation formula of the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment to the power loss of the gearbox is: , Among them, is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the power loss of the gearbox, is the partial derivative, is the steady-state temperature of the lubricating oil inside the wind turbine gearbox, is the power loss of the wind turbine gearbox, is the total heat transfer coefficient, is the heat dissipation area of the gearbox, is the specific heat capacity of the lubricating oil, is the density of the lubricating oil, is the flow rate of the lubricating oil at the initial moment.

[0031] In this embodiment, preferably, the calculation formula for the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the active power is: , Among them, is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the active power, is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the power loss of the gearbox, is the sensitivity coefficient of the power loss of the wind turbine gearbox at the initial moment and the active power, is the partial derivative, is the steady-state temperature of the lubricating oil inside the wind turbine gearbox, is the power loss of the wind turbine gearbox, is the active power of the wind turbine.

[0032] The present invention takes the power loss of the wind turbine gearbox as an intermediate quantity, and indirectly obtains the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the active power based on the sensitivity coefficient of the power loss of the wind turbine gearbox at the initial moment and the active power, and the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the gearbox and the power loss of the gearbox, which can more accurately reflect the correlation between the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power.

[0033] In this embodiment, preferably, based on the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the active power, the steady-state temperature of the lubricating oil inside each wind turbine gearbox, and the increment of the active power of each wind turbine from the initial moment to the moment to be regulated, a correlation model of the steady-state temperature of the lubricating oil inside each wind turbine gearbox and the active power at the moment to be regulated is constructed: , Among them, is the steady-state temperature of the lubricating oil inside the wind turbine gearbox at time , is the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial time is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial time to the active power, is the partial derivative, is the steady-state temperature of the lubricating oil inside the wind turbine gearbox, is the active power of the wind turbine, is the increment of the active power of the wind turbine from the initial time to time is the wind turbine index,

[0034] Step S2: Based on the correlation models of the terminal voltage and output power of each wind turbine, the network loss and output power, and the steady-state temperature of the lubricating oil inside the gearbox and the active power at the time to be regulated, with the goal of minimizing the weighted sum of the deviations between the terminal voltage and bus voltage at the time to be regulated and the reference values, the deviation between the steady-state temperature of the lubricating oil inside the gearbox and the ambient temperature, and the network loss, a wind farm regulation model at the time to be regulated is constructed; In a wind farm, to clarify the characteristics of the terminal voltage and phase angle of a wind turbine changing with the output power, the corresponding sensitivity coefficients need to be calculated. The relationship between the increments of the terminal voltage and phase angle of a wind turbine and the increments of active power and reactive power is described by the following matrix equation: , Among them, is the increment of the terminal voltage of the wind turbine, is the sensitivity coefficient of the terminal voltage of the wind turbine to the active power, is the sensitivity coefficient of the terminal voltage of the wind turbine to the reactive power, is the increment of the active power of the wind turbine, is the terminal voltage of the wind turbine,

[0035] The formula for calculating the sensitivity coefficient of the terminal voltage and active power of the -th wind turbine generator is: The formula for calculating the sensitivity coefficient of the phase angle of the terminal voltage and active power of the -th wind turbine generator is: where is the sensitivity coefficient of the terminal voltage and active power of the -th wind turbine generator, is the sensitivity coefficient of the phase angle of the terminal voltage and active power of the -th wind turbine generator, is the conjugate of where is the conjugate complex number of the terminal voltage of the -th wind turbine generator, is the active power of the -th

[0036] The formula for calculating the sensitivity coefficient of the terminal voltage and reactive power of the -th wind turbine generator is: The formula for calculating the sensitivity coefficient of the phase angle of the terminal voltage and reactive power of the -th wind turbine generator is: where is the sensitivity coefficient of the terminal voltage and reactive power of the -th wind turbine generator, is the sensitivity coefficient of the phase angle of the terminal voltage and reactive power of the

[0037] Given that the control period of the method adopted is on the order of seconds, when performing the prediction step in the steady-state operation scenario, the system sensitivity coefficient can be assumed to be a constant value. The terminal voltage of the wind turbine generator is affected by its output power, and the following linear model can be used to predict the terminal voltage.

[0038] The correlation model between the terminal voltage and output power of each wind turbine at the moment to be regulated is as follows: , where is the terminal voltage of the th wind turbine at the moment is the terminal voltage of the th wind turbine at the initial moment, is the partial derivative, is the sensitivity coefficient of the terminal voltage and active power of the th wind turbine at the initial moment, is the sensitivity coefficient of the terminal voltage and reactive power of the th wind turbine at the initial moment, is the increment of the active power of the th wind turbine from the initial moment to the moment , is the increment of the reactive power of the th wind turbine from the initial moment to the moment , is the wind turbine index, is the moment.

[0039] In the analysis of the wind farm power system, it is necessary to further derive the expression of the system network loss. Based on circuit theory, the system network loss can be expressed as: , where is the system network loss, and are the real part and imaginary part of the admittance matrix corresponding to the th wind turbine and the th wind turbine respectively, is the terminal voltage of the th wind turbine, is the phase angle difference between the terminal voltage of the th wind turbine and the th wind turbine, is the secondary index of the wind turbine.

[0040] By calculation, the sensitivity coefficients of the wind turbine network loss with respect to the terminal voltage and terminal voltage phase angle can be obtained as follows: , where is the sensitivity coefficient of the wind turbine network loss with respect to the terminal voltage, is the sensitivity coefficient of the wind turbine network loss with respect to the terminal voltage phase angle.

[0041] By transforming the above formula, the sensitivity coefficients of the wind turbine network loss with respect to active power and reactive power can be obtained as follows: , where is the sensitivity coefficient of the wind turbine network loss with respect to active power, is the sensitivity coefficient of the wind turbine network loss with respect to reactive power.

[0042] Then, the change in power loss caused by the change in wind turbine power can be expressed as: , where is the change in wind turbine power loss.

[0043] In this embodiment, specifically, the correlation model between the network loss and the output power of each wind turbine at the moment to be regulated is: , where is the network loss of the th wind turbine at the moment is the network loss of the th wind turbine at the initial moment, is the partial derivative, is the sensitivity coefficient of the wind turbine network loss with respect to active power at the initial moment, is the sensitivity coefficient of the wind turbine network loss with respect to reactive power at the initial moment, is the increment of the active power of the th wind turbine from the initial moment to the moment , is the increment of the reactive power of the th wind turbine from the initial moment to the moment , is the wind turbine index, is the moment.

[0044] In this embodiment, preferably, the objective function of the wind farm regulation model at the moment to be regulated is: Given that the wind farm exhibits the characteristics of a low ratio of reactance to resistance and a long transmission distance, its bus voltage is extremely vulnerable to random wind energy fluctuations, showing significant sensitivity and fragility. Against this background, voltage control plays an indispensable and crucial role in ensuring the stable operation of the wind farm. The objective function of minimizing voltage deviation aims to keep the terminal voltage of the wind turbine and the bus voltage within the feasible range at all times. The objective function of minimizing voltage deviation is: , Meanwhile, the reliability of wind turbines is also a key consideration that cannot be ignored. During actual operation, the gearbox undertakes the important function of speed increasing and transmission. Components such as gears and bearings inside it generate heat during operation. If the deviation from the ambient temperature exceeds a reasonable range, it will exacerbate gear wear, affect transmission accuracy, and even cause gearbox failures in severe cases. The converter is responsible for converting the alternating current output by the generator into the form of electric energy that meets the requirements of the power grid. The internal power devices generate obvious heat during operation, and a large deviation from the ambient temperature will affect the power conversion efficiency and stability of the converter, cause harmonic problems, and even damage the devices. The gearbox temperature control objective function aims to minimize the deviation between the steady-state temperature of the lubricating oil inside the gearbox and the ambient temperature. The gearbox temperature control objective function is: , Furthermore, the economy of the system also needs to be considered. In the power system of a wind farm, network losses are directly related to the operating cost and have a significant impact on the economy. Network losses mean that during the transmission and distribution of electric energy, due to factors such as resistance and reactance, part of the electric energy is dissipated without cause in the form of heat and cannot be converted into effective power supply. This not only causes energy waste but also increases the power generation cost from an economic perspective because more energy needs to be consumed additionally to make up for this part of the loss. The network loss minimization objective function aims to minimize network losses. The network loss minimization objective function is: , Combining the above objective functions, a multi-objective optimization function that takes into account voltage safety, power tracking, and suppression of gearbox temperature rise is constructed, specifically: , Among them, is the objective function for minimizing voltage deviation at time Based on the weighted sum of the deviations between the terminal voltages of each wind turbine and their reference values, and the deviations between the voltages of each bus and their reference values at time is the gearbox temperature control objective function at time Based on the deviation between the steady-state temperature of the lubricating oil inside the gearbox of each wind turbine and the ambient temperature at time is the network loss minimization objective function at time Based on the network losses of each wind turbine at time is the objective function of the wind farm control model at time is the weight coefficient of the voltage deviation minimization objective function, is the weight coefficient of the gearbox temperature regulation objective function, is the weight coefficient of the network loss minimization objective function, is the prediction step size, is the number of wind turbines, is at time the terminal voltage of the is at time the reference value of the terminal voltage of the is the number of bus voltages, is at time the voltage of the is at time the reference value of the voltage of the is the square of the two-norm, is the terminal voltage deviation weight, is the bus voltage deviation weight, is at time the steady-state temperature of the lubricating oil inside the gearbox of the is the ambient temperature, is at time the network loss of the is the minimization function, is the wind power generator index, is the bus index, is the time.

[0045] In this embodiment, specifically, the constraint conditions of the wind farm regulation model at the time to be regulated include: active power balance constraint, reference active power boundary constraint, reference reactive power boundary constraint, and the formulas are respectively: , wherein, and are respectively the maximum active power and maximum reactive power capacity of the th wind turbine, is the active power dispatch instruction of the Transmission System Operator (TSO), is the reactive power dispatch instruction of the Transmission System Operator (TSO).

[0046] As a part of the power system, a wind farm needs to match the power demand of the entire system. The active power balance constraint means that the total active power output by all wind turbines in the wind farm should strictly equal the active power dispatch instruction issued by the Transmission System Operator (TSO). This is a basic requirement for maintaining the stable operation of the power system, ensuring the balance of active power between the generation side and the load side in the system, avoiding power surplus or deficiency, and thus ensuring that the grid frequency is stable within the normal range, because the imbalance of active power will directly cause fluctuations in the grid frequency and affect the normal operation of various electrical equipment in the power system.

[0047] The reference active power boundary constraint defines the reasonable range of the active power dispatch instruction for each wind turbine. On the one hand, means that the wind turbine can only output active power to the grid and cannot absorb active power from the grid (without considering special operating modes), which is in line with the basic working principle of converting wind energy into electrical energy and feeding it into the grid by the wind turbine; on the other hand, indicates that the active power output of each wind turbine cannot exceed its maximum available power, which is determined by the design and performance limitations of the wind turbine itself. Each wind turbine has its specific capacity and conversion efficiency. Operating beyond the maximum available power may cause the generator to be overloaded, overheated, and even damage the equipment, and at the same time exceed the limit of its wind energy conversion ability.

[0048] The reference reactive power boundary constraint limits the range of reactive power output of each wind turbine. Reactive power is mainly used in the power system to maintain voltage stability and establish magnetic fields, etc. means that the reactive power that the wind turbine can absorb cannot exceed its maximum absorption capacity, while indicates that the reactive power generated by the generator cannot exceed its maximum generation capacity, because the reactive power regulation ability of the wind turbine is limited and is restricted by its own excitation system and electrical equipment parameters. Reasonably controlling the reactive power within this range can ensure that the reactive power exchange between the wind farm and the grid is in a safe and reasonable state, which helps to maintain the stability of the grid voltage and improve the stability and power quality of the power system. If the reactive power exceeds this range, it may cause the grid voltage to be too high or too low, affecting the normal operation of the power system and the service life of electrical equipment.

[0049] As Figure 3 shown, Figure 3 is a schematic diagram of the change trend of the weight coefficients of each objective function in the wind farm regulation model at the moment to be regulated. Figure 3 In it, the abscissa represents time and the ordinate represents the value of the weight coefficient. Figure 3The horizontal solid line near the vertical axis indicates that when the wind farm is in the normal operation mode, the voltage deviation index, the economic index, and the reliability index have the same priority. The solid line sloping upward to the upper right represents entering the emergency mode. and begins to increase. The dashed line sloping downward to the right represents , indicating that after entering the emergency mode, certain economic indicators need to be sacrificed. will decrease.

[0050] In this embodiment, preferably, at the initial moment, it is judged whether the deviation between the voltage of any node in the wind farm power system and the voltage reference value of that node exceeds the set threshold. If it exceeds, then let , if none of them exceed, then let .

[0051] When the deviation between the voltage of all nodes in the wind farm power system and the voltage reference value of that node is less than or equal to the set threshold, that is, in the normal operation mode, the voltage deviation index, the economic index, and the reliability index have the same priority. ; If the deviation between the voltage of any node in the wind farm power system and the voltage reference value of that node exceeds the set threshold, then it is in the emergency mode, and certain economic indicators need to be sacrificed to ensure the voltage deviation of the system and the reliability of the key components of the wind turbine.

[0052] Step S3: Input the wind turbine parameters at the initial moment into the wind farm regulation model at the moment to be regulated, and solve the target power generation strategy at the moment to be regulated.

[0053] In this embodiment, specifically, the wind turbine parameters include: the active power, reactive power, terminal voltage, rotational speed, steady-state temperature of the lubricating oil inside the gearbox, ambient temperature, and lubricating oil flow rate of each wind turbine.

[0054] In this embodiment, preferably, the PD control algorithm is used to solve the wind farm regulation model at the moment to be regulated, generate the target power generation strategy, that is, the active power reference value and reactive power reference value of each wind turbine at the moment to be regulated, to optimize the health status of the wind turbine and obtain the best trade-off between the operation performance and the health performance.

[0055] To overcome the defect that the existing wind farm regulation methods do not consider the overheating of the gearbox oil temperature, resulting in reduced power generation performance and damaged equipment health, it is ideal to construct a correlation model between the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power for real-time regulation. However, there is no direct connection between the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power, and no direct correlation between the two has been found in current research. Therefore, if the sensitivity calculation is directly introduced to construct the correlation model between the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power, although a model can be obtained, the physical meaning of this model is not clear and it cannot accurately reflect the correlation between the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power.

[0056] Meanwhile, if the operation data provided by the SCADA system (Supervisory Control and Data Acquisition system) is used to analyze and establish the correlation model between the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power, since it does not consider the thermodynamic behaviors such as the generation mechanism of the internal heat source of the equipment, the heat generation process, and the heat exchange inside the equipment and with the outside world comprehensively and deeply enough, the established model has a very high dependence on the data quality and data coverage. For example, data such as the generator speed, output voltage, current at different times, as well as the monitoring values of the gearbox lubricating oil temperature and the ambient temperature. That is to say, if the data quality is not high or the working conditions covered by the data are not comprehensive enough, the performance of the model will be greatly affected. Under the working conditions that have not been observed, the stability of the model is poor, that is, the prediction results of the model may not be accurate and it is difficult to explain the rationality of its prediction results. In addition, this model is also prone to overfitting, that is, the model performs well on the training data but poorly on the new data, and the calculation process is often time-consuming.

[0057] To accurately establish the correlation model between the steady-state temperature of the lubricating oil and the active power, it is necessary to precisely understand the temperature field distribution inside the gearbox. Although the finite element method can provide high-fidelity 2D / 3D temperature field distributions, showing in detail the temperature changes at various positions inside the gearbox under different active power inputs. However, its strict requirements for mesh generation, sensitivity to boundary conditions, and high calculation cost are a huge obstacle to the construction of the correlation model between the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power that requires rapid iteration and real-time update, and it is difficult to meet the needs of real-time analysis and regulation of wind farm operation.

[0058] In view of the many limitations of the above traditional methods in constructing the correlation model between the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power, the present invention introduces the power loss of the gearbox as an intermediate variable to establish the sensitivity coefficient between the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power. There is a close physical connection between the power loss of the gearbox and both the active power and the steady-state temperature of the lubricating oil. On the one hand, the active power output of the wind turbine will directly affect the load of the gearbox, and thus affect the power loss conditions such as the frictional loss and transmission loss inside the gearbox; on the other hand, the power loss of the gearbox will be converted into heat, which will directly affect the temperature of the lubricating oil, causing it to rise or fall. Based on this, by accurately calculating the power loss of the gearbox and analyzing its quantitative relationship with the active power and the steady-state temperature of the lubricating oil, the sensitivity coefficient between the steady-state temperature of the lubricating oil and the active power can be established more accurately.

[0059] On this basis, the present invention incorporates the control objective of the gearbox oil temperature into the optimization problem of the wind farm. In the actual operation of the wind farm, the optimization problem of the wind farm usually involves multiple aspects, such as the maximization of power generation, the reliability and stability of equipment, etc. And the gearbox oil temperature, as a key factor affecting the performance and life of the gearbox, has an important impact on the overall operation of the wind farm. Incorporating the gearbox oil temperature into the optimization problem can comprehensively consider the balance relationship between the active power output and the gearbox oil temperature. By adjusting the operating parameters of the wind turbine, while ensuring a certain power generation, the gearbox oil temperature can be effectively controlled within a reasonable range, thereby improving the reliability and service life of the gearbox, reducing the maintenance cost, and realizing the efficient and stable operation of the wind farm.

[0060] The present invention realizes the multi-objective collaborative optimization of voltage safety, power tracking, and temperature rise suppression, and generates an optimal power generation strategy. Through the dynamic weight mechanism, the system focuses on voltage stability when the power is abundant and gives priority to following the dispatching instructions when the power is insufficient, effectively improving the reliability and economy of the wind farm operation. The present invention is applicable to onshore and offshore wind farms, and has significant advantages especially in the scenario of high-penetration wind power grid connection, which can reduce the operation and maintenance cost, extend the equipment life, and enhance the grid stability.

[0061] Based on Embodiment 1, in this Embodiment 2, a wind farm regulation method based on the gearbox temperature rise change of the present invention is used to perform real-time regulation on a certain wind farm.

[0062] As Figure 4 shown, Figure 4The topological structure diagram of the wind farm is shown in Figure 2. The wind farm consists of multiple wind turbines, which are connected in groups. Each wind turbine collects electric energy through a collector line, and the voltage level of the collector line is 33kV. The collected electric energy is boosted to 155kV by a step-up transformer, and then transmitted through a high-voltage transmission line (7km in length). Finally, it is boosted to 380kV by another step-up transformer and then connected to the external power grid.

[0063] like Figure 5 As shown, Figure 5 The following is a simulation diagram showing the steady-state temperature of the lubricating oil inside the gearbox of a wind turbine generator set changing with time when the wind farm control method based on the temperature rise change of the gearbox is used for control. Figure 6 As shown, Figure 6 This is a simulation diagram of the steady-state temperature change of the lubricating oil inside the wind turbine gearbox over time when the proportional-differential control method is used for regulation. Figure 5 and Figure 6 The horizontal axis represents time and the vertical axis represents steady-state temperature.

[0064] Figure 5 , Figure 6 Different colors represent different wind turbines in the wind farm. By comparing the wind farm control method based on the temperature rise change of the gear box with the proportional-differential (PD) control method, it can be found that in terms of the temperature fluctuation amplitude, when the control method of the present invention is adopted, the gear box oil temperatures of different wind turbines are mostly at a relatively low level within the same time period. This shows that compared with the PD control method, the present invention can better control the gear box temperature, reduce the risk of failure caused by high temperature, and has advantages in ensuring the operating stability of the gear box and extending the service life.

[0065] like Figure 7 As shown, Figure 7 The following is a simulation diagram of the change of the wind turbine terminal voltage over time when the wind farm control method based on the gearbox temperature rise change of the present invention is used for control. Figure 8 As shown, Figure 8 This is a simulation diagram of the wind turbine terminal voltage changing with time when the proportional-differential control method is used for regulation. Figure 7 and Figure 8 The horizontal axis represents time, and the vertical axis represents voltage. Figure 7 , Figure 8 It can be seen that, compared with the proportional-differential control method, the terminal voltage of each wind turbine generator is closer to 1 by the control method of the present invention, which means that the deviation from the rated voltage is small, and high-quality electric energy can be delivered to the power grid.

[0066] In summary, by comparing the simulation diagrams of the steady-state temperature of the lubricating oil inside the gearbox of a wind turbine and the variation of the terminal voltage over time, it can be seen that the wind farm regulation method based on the temperature rise change of the gearbox in the present invention has obvious advantages compared with the proportional-derivative (PD) control method. In terms of the gearbox oil temperature control, the method of the present invention can effectively suppress the rising trend of the oil temperature, maintain a lower oil temperature, reduce the failure risk caused by high temperature, and extend the service life of the gearbox; in terms of the terminal voltage control of the wind turbine, the method of the present invention makes the terminal voltage closer to the rated voltage, ensures the stable operation of electrical equipment, and reduces the probability of electrical faults.

[0067] Embodiment 3 of the present invention provides a wind farm regulation system based on the temperature rise change of the gearbox, including: An associated model construction module, configured to calculate the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the gearbox of the wind turbine at the initial moment and the active power based on the sensitivity coefficient of the power loss of the wind turbine gearbox at the initial moment and the active power, and the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the gearbox and the power loss of the gearbox, so as to construct an association model between the steady-state temperature of the lubricating oil inside the gearbox of each wind turbine and the active power at the moment to be regulated; A regulation model construction module, configured to construct a wind farm regulation model at the moment to be regulated with the goal of minimizing the weighted sum of the deviation between the terminal voltage and the bus voltage at the moment to be regulated and the reference value, the deviation between the steady-state temperature of the lubricating oil inside the gearbox and the ambient temperature, and the network loss, based on the association model between the terminal voltage and the output power of each wind turbine at the moment to be regulated, the association model between the network loss and the output power, and the association model between the steady-state temperature of the lubricating oil inside the gearbox and the active power; A strategy solving module, configured to input the parameters of the wind turbine at the initial moment into the wind farm regulation model at the moment to be regulated to solve the target power generation strategy at the moment to be regulated.

[0068] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0069] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices produce means for implementing the functions specified in the Figure 1 one or more flows and / or blocks Figure 1 one or more blocks.

[0070] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufactured article including instruction means that implement the functions specified in the Figure 1 one or more flows and / or blocks Figure 1 one or more blocks.

[0071] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operating steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in the Figure 1 one or more flows and / or blocks Figure 1 one or more blocks.

[0072] Obviously, the above embodiments are only examples for clear illustration and are not limitations on the implementation manners. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to exhaustively list all implementation manners here. And the obvious changes or modifications derived therefrom are still within the protection scope of the present invention.

Claims

1. A wind farm regulation method based on the temperature rise change of the gearbox, characterized in that, Including: Based on the sensitivity coefficient of the power loss of the wind turbine gearbox and the active power at the initial moment, and the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the gearbox and the power loss of the gearbox, calculate the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power at the initial moment, so as to construct the correlation model between the steady-state temperature of the lubricating oil inside each wind turbine gearbox and the active power at the moment to be regulated; Based on the correlation model between the terminal voltage and the output power of each wind turbine at the moment to be regulated, the correlation model between the network loss and the output power, and the correlation model between the steady-state temperature of the lubricating oil inside the gearbox and the active power, with the goal of minimizing the weighted sum of the deviations between the terminal voltage and the bus voltage and the reference value at the moment to be regulated, the deviation between the steady-state temperature of the lubricating oil inside the gearbox and the ambient temperature, and the network loss, construct the wind farm regulation model at the moment to be regulated; Input the wind turbine parameters at the initial moment into the wind farm regulation model at the moment to be regulated, and solve the target power generation strategy at the moment to be regulated.

2. The wind farm regulation method based on the temperature rise change of the gearbox according to claim 1, wherein, The calculation formula for the sensitivity coefficient of the power loss of the wind turbine gearbox and the active power at the initial moment is: ， Among them, is the sensitivity coefficient of the power loss of the wind turbine gearbox to the active power at the initial moment, is the partial derivative, is the power loss of the wind turbine gearbox, is the active power of the wind turbine, is the face width, is the average oil film thickness, is the contact ratio of the tooth surface, is the pressure angle, is the helix angle, is the efficiency of the wind turbine, is the torque of the wind turbine at the initial moment, is the sliding friction coefficient, is the gearbox transmission ratio, is the base circle radius of the gear, is the number of teeth of the driving gear, is the number of teeth of the driven gear, is the proportionality coefficient between the bearing speed and the wind turbine speed, is the friction coefficient, is the average diameter of the bearing, is the load distribution coefficient.

3. A wind farm regulation method based on the temperature rise change of a gearbox according to claim 1, characterized in that The calculation formula for the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the power loss of the gearbox at the initial moment is: ， Among them, is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment and the power loss of the gearbox, is the partial derivative, is the steady-state temperature of the lubricating oil inside the wind turbine gearbox, is the power loss of the wind turbine gearbox, is the total heat transfer coefficient, is the heat dissipation area of the gearbox, is the specific heat capacity of the lubricating oil, is the density of the lubricating oil, is the flow rate of the lubricating oil at the initial moment.

4. A wind farm regulation method based on the temperature rise change of a gearbox according to claim 1, characterized in that, The calculation formula for the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power at the initial moment is: ， Among them, is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment to the active power, is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox at the initial moment to the power loss of the gearbox, is the sensitivity coefficient of the power loss of the wind turbine gearbox at the initial moment to the active power, is the partial derivative, is the steady-state temperature of the lubricating oil inside the wind turbine gearbox, is the power loss of the wind turbine gearbox, is the active power of the wind turbine.

5. A wind farm regulation method based on the temperature rise change of a gearbox according to claim 1, characterized in that, Based on the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power at the initial moment, the steady-state temperature of the lubricating oil inside each wind turbine gearbox, and the increment of the active power of each wind turbine from the initial moment to the moment to be regulated, construct the correlation model between the steady-state temperature of the lubricating oil inside each wind turbine gearbox and the active power at the moment to be regulated: ， Wherein, is the steady-state temperature of the lubricating oil inside the gearbox of the th wind turbine generator at time is the steady-state temperature of the lubricating oil inside the gearbox of the th wind turbine generator at the initial time, is the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the gearbox of the wind turbine generator to the active power at the initial time, is the partial derivative, is the increment of the active power of the th wind turbine generator from the initial time to time is 6. A wind farm regulation method based on the temperature rise change of a gearbox according to claim 1, characterized in that, The objective function of the wind farm regulation model at the moment to be regulated is: ， Among them, is the objective function of minimizing the voltage deviation at time Based on the weighted sum of the deviations between the terminal voltages of each wind turbine and their reference values, and the deviations between the voltages of each bus and their reference values at time is the objective function of regulating the temperature of the gearbox at time Based on the deviation between the steady-state temperature of the lubricating oil inside the gearbox of each wind turbine and the ambient temperature at time is the objective function of minimizing the network loss at time Based on the network losses of each wind turbine at time is the objective function of the wind farm regulation model at time is the weight coefficient of the objective function of minimizing the voltage deviation, is the weight coefficient of the objective function of regulating the temperature of the gearbox, is the weight coefficient of the objective function of minimizing the network loss, is the time.

7. A wind farm regulation method based on the temperature rise change of a gearbox according to claim 6, characterized in that, The objective function for regulating the temperature of the moment gearbox is as follows: ， Among them, is the temperature regulation objective function of the gearbox at a certain moment, is the number of wind turbines, is the square of the two-norm, is the steady-state temperature of the lubricating oil inside the gearbox of the th wind turbine at a certain moment, is the ambient temperature, is the minimization function, is the wind power generator index, is the moment.

8. A wind farm regulation method based on the temperature rise change of a gearbox according to claim 6, characterized in that, At the initial moment, it is judged whether the deviation between the voltage of any node in the wind farm power system and the voltage reference value of this node exceeds a set threshold. If it exceeds, then let , if none of them exceed, then let .

9. A wind farm regulation method based on the temperature rise change of a gearbox according to claim 1, characterized in that, The constraint conditions of the wind farm regulation model at the moment to be regulated include: active power balance constraint, reference active power boundary constraint, and reference reactive power boundary constraint.

10. A wind farm control system based on the temperature rise change of a gearbox, characterized in that, Including: The correlation model construction module is used to calculate the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the wind turbine gearbox and the active power at the initial moment based on the sensitivity coefficient of the power loss of the wind turbine gearbox and the active power at the initial moment, and the sensitivity coefficient of the steady-state temperature of the lubricating oil inside the gearbox and the power loss of the gearbox, so as to construct the correlation model between the steady-state temperature of the lubricating oil inside each wind turbine gearbox and the active power at the moment to be regulated; The regulation model construction module is used to construct the wind farm regulation model at the moment to be regulated with the goal of minimizing the weighted sum of the deviations between the terminal voltage and the bus voltage and the reference value at the moment to be regulated, the deviation between the steady-state temperature of the lubricating oil inside the gearbox and the ambient temperature, and the network loss, based on the correlation model between the terminal voltage and the output power of each wind turbine at the moment to be regulated, the correlation model between the network loss and the output power, and the correlation model between the steady-state temperature of the lubricating oil inside the gearbox and the active power; The strategy solving module is used to input the wind turbine parameters at the initial moment into the wind farm regulation model at the moment to be regulated, and solve the target power generation strategy at the moment to be regulated.

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