Wind farm energy management system, method and product based on pitch angle and power ratio

Abstract

The invention relates to a wind farm energy management system, method and product based on pitch angle and power ratio. The system comprises an increment determination module, a weight determination module and a control module, the increment determination module determines an active power deviation value by comparing the obtained output total active power of the wind power plant with a preset target active power, and inputs the active power deviation value to the proportional integral differential controller to determine an active power instruction increment; the weight determination module obtains the grid-connected state of one or more wind turbine generators in a wind power plant, obtains the actual active power, the preset theoretical active power, the pitch angle and the health weight coefficient when the wind turbine generators are grid-connected, and determines the power ratio of the wind turbine generators based on the preset theoretical active power and the actual active power. Based on the power ratio, the pitch angle and the health weight coefficient, the distribution weight of the wind turbine generator is determined; and the control module adjusts a threshold value based on the distribution weight of the wind turbine generator, the active power instruction increment and a preset active power instruction increment, and controls the wind turbine generator to operate.

Description

Technical Field

[0001] The present disclosure relates to the technical field of wind farm energy management, and in particular, to a wind farm energy management system, method and product based on pitch angle and power ratio. Background Art

[0002] At present, new energy has attracted wide attention due to its renewability and cleanliness. With the rapid increase in the proportion of new energy, especially wind turbines, in various regions, the frequency regulation margin of the power system has continued to decline. In order to ensure the safe and stable operation of the power grid, the provincial and local governments require wind farms to carry out primary frequency regulation technical transformation to improve the primary frequency regulation performance of wind farms, thereby improving the frequency stability of the power grid and achieving safe, high-quality and economical operation of the power grid. Due to the poor active power control strategy of the energy management system of old stations and the allocation mostly adopts the equal proportion allocation method, the capacity proportion allocation method, or the algorithm completely relying on the support of collected information, there are low active power control accuracy, poor stability, slow response speed and large volatility, which cannot meet the requirements of primary frequency regulation lag time, response time and adjustment time. It is a technical problem that needs to be solved urgently. Summary of the invention

[0003] In order to overcome the problems existing in the related art, the present disclosure provides a wind farm energy management system, method and product based on pitch angle and power ratio.

[0004] According to a first aspect of an embodiment of the present disclosure, there is provided a wind farm energy management system based on pitch angle and power ratio, wherein the wind farm comprises one or more wind turbines, and the system comprises: an increment determination module, a weight determination module and a control module;

[0005] The increment determination module is used to determine the active power deviation value of the wind farm by comparing the acquired total active power output of the wind farm with the preset target active power of the wind farm, input the active power deviation value into the proportional integral differential controller, determine the active power command increment of the wind farm, and send the active power command increment to the control module;

[0006] The weight determination module is used to obtain the grid-connected status of the one or more wind turbines in the wind farm, and when the wind turbine is grid-connected, obtain the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine, determine the power ratio of the wind turbine based on the preset theoretical active power and the actual active power, determine the allocation weight of the wind turbine based on the power ratio, pitch angle and health weight coefficient of the wind turbine, and send the allocation weight of the wind turbine to the control module;

[0007] The control module is used to control the operation of the wind turbine generator set based on the allocation weight of the wind turbine generator set, the active power command increment and a preset active power command increment adjustment threshold.

[0008] Optionally, the weight determination module includes: a unit state determination submodule and a weight determination submodule;

[0009] The unit status determination submodule is used to obtain the grid-connected status of one or more wind turbines in the wind farm, and when the wind turbines in the wind farm are in the grid-connected state, the grid-connected status of the wind turbines is sent to the weight determination submodule;

[0010] The weight determination submodule is used to obtain the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine when the wind turbine is in the grid-connected state, determine the power ratio of the wind turbine based on the actual active power and the preset theoretical active power, and determine the allocation weight of the wind turbine based on the power ratio, pitch angle and health weight coefficient of the wind turbine.

[0011] Optionally, the weight determination submodule includes: a power ratio determination unit, a health weight coefficient determination unit and a wind turbine group weight determination unit;

[0012] The power ratio determination unit is used to determine the power ratio of the wind turbine generator set by calculating the ratio of the preset theoretical active power to the actual active power;

[0013] The health weight coefficient determination unit is used to receive the health weight coefficient input by the user;

[0014] The wind turbine group weight determination unit is used to determine the allocation weight of the wind turbine group based on the power ratio, pitch angle and health weight coefficient of the wind turbine group.

[0015] According to a second aspect of an embodiment of the present disclosure, a wind farm energy management method based on a pitch angle and a power ratio is provided, which is applied to a wind farm energy management system based on a pitch angle and a power ratio, comprising:

[0016] Obtaining the total active power output of the wind farm, determining the active power deviation value of the wind farm by comparing the total active power with the preset target active power of the wind farm, and determining the active power command increment of the wind farm based on a proportional-integral-differential controller and the active power deviation value;

[0017] Obtaining the grid-connected status of one or more wind turbines in the wind farm, and when the wind turbines in the wind farm are in the grid-connected status, obtaining the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbines to determine the allocation weight of the wind turbines;

[0018] Based on the allocation weight of the wind turbine generator set, the active power command increment and a preset active power command increment adjustment threshold, the operation of the wind turbine generator set is controlled.

[0019] Optionally, the acquiring the total active power output of the wind farm, determining the active power deviation value of the wind farm by comparing the total active power with a preset target active power of the wind farm, and determining the active power command increment of the wind farm based on a proportional-integral-differential controller and the active power deviation value, comprises:

[0020] Obtaining the total active power output of the wind farm, and determining the active power deviation value of the wind farm by the difference between the total active power and the preset target active power of the wind farm;

[0021] Based on a proportional-integral-differential controller, the active power deviation value is input as an input value into the proportional-integral-differential controller to determine an active power command increment of the wind farm;

[0022] The calculation formula of the proportional integral derivative controller is as follows:

[0023] ΔP=f PID (P a -P s )

[0024] Among them, ΔP is the active power command increment, P a is the total active power of the wind farm, P s is the preset target active power.

[0025] Optionally, the obtaining the grid-connected status of one or more wind turbines in the wind farm, when the wind turbines in the wind farm are in the grid-connected status, obtaining the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbines to determine the allocation weight of the wind turbines, includes:

[0026] Obtaining the grid-connected status of one or more wind turbines in the wind farm;

[0027] When the state of the wind turbine in the wind farm is grid-connected, obtaining the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine;

[0028] Determining the power ratio of the wind turbine generator set by calculating the ratio of the preset theoretical active power to the actual active power;

[0029] The allocation weight of the wind turbine generator set is determined based on the power ratio, pitch angle and health weight coefficient of the wind turbine generator set.

[0030] Optionally, controlling the operation of the wind turbine generator set based on the allocation weight of the wind turbine generator set, the active power command increment and a preset active power command increment adjustment threshold comprises:

[0031] Comparing the active power command increment of the wind farm with a preset active power command increment adjustment threshold;

[0032] When the absolute value of the active power command increment is less than or equal to the preset active power command increment adjustment threshold, the wind turbine generator set maintains the current operating state;

[0033] When the absolute value of the active power command increment is greater than the preset active power command increment adjustment threshold value and the active power command increment is less than zero, based on the active power command increment and the allocation weight of the wind turbine generator set, the operation of the wind turbine generator set in the wind farm is controlled to increase the total active power in the wind farm;

[0034] When the absolute value of the active power command increment is greater than the preset active power command increment adjustment threshold and the active power command increment is greater than zero, based on the active power command increment and the allocation weight of the wind turbine generator set, the operation of the wind turbine generator set in the wind farm is controlled to reduce the total active power in the wind farm.

[0035] According to a third aspect of an embodiment of the present disclosure, a non-temporary computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the wind farm energy management method based on pitch angle and power ratio according to the second aspect of the embodiment of the present disclosure are implemented.

[0036] According to a fourth aspect of an embodiment of the present disclosure, there is provided an electronic device, including:

[0037] a memory having a computer program stored thereon;

[0038] A processor is used to execute the computer program in the memory to implement the steps of the wind farm energy management method based on pitch angle and power ratio in the second aspect of the embodiment of the present disclosure.

[0039] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of the wind farm energy management method based on pitch angle and power ratio according to the second aspect of an embodiment of the present disclosure.

[0040] In the above technical solution, the increment determination module is used to determine the active power deviation value of the wind farm by comparing the acquired total active power output of the wind farm with the preset target active power of the wind farm, input the active power deviation value into the proportional integral differential controller, determine the active power command increment of the wind farm, and send the active power command increment to the control module; the weight determination module is used to obtain the grid-connected status of one or more wind turbines in the wind farm, and when the wind turbine is grid-connected, obtain the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine, determine the power ratio of the wind turbine based on the preset theoretical active power and the actual active power, determine the allocation weight of the wind turbine based on the power ratio, pitch angle and health weight coefficient of the wind turbine, and send the allocation weight of the wind turbine to the control module; the control module is used to control the operation of the wind turbine based on the allocation weight of the wind turbine, the active power command increment and the preset active power command increment adjustment threshold. Through the above technical scheme, when the wind farm is energy managed, the energy management system is based on a proportional-integral-differential controller, and the active power command increment of the wind farm is determined by the total active power output of the wind farm and the preset target active power. Based on the health weight coefficient of each grid-connected wind turbine in the wind farm, combined with the actual active power, pitch angle and preset theoretical active power of each grid-connected wind turbine in the wind farm, the wind turbines connected to the wind farm are weighted, and the operation of the wind turbines in the wind farm is controlled according to the allocation weight of each wind turbine, the active power command increment and the preset active power command increment adjustment threshold. By optimizing the active power allocation strategy of the energy management system in the wind farm, the accuracy and stability of active power control are improved, and the wind resources can be maximized to improve the overall power generation efficiency of the wind farm. At the same time, the response speed of the wind turbine is improved, and the stable operation of the wind farm station power grid is guaranteed.

[0041] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings:

[0043] Figure 1 The invention is a block diagram showing a wind farm energy management system based on pitch angle and power ratio according to an exemplary embodiment.

[0044] Figure 2 It is a block diagram showing another wind farm energy management system based on pitch angle and power ratio according to an exemplary embodiment.

[0045] Figure 3 It is a block diagram showing yet another wind farm energy management system based on pitch angle and power ratio according to an exemplary embodiment.

[0046] Figure 4 The present invention is a flow chart showing a method for wind farm energy management based on pitch angle and power ratio according to an exemplary embodiment.

[0047] Figure 5 The present invention is a flow chart showing another wind farm energy management method based on pitch angle and power ratio according to an exemplary embodiment.

[0048] Figure 6 The present invention is a flow chart showing another wind farm energy management method based on pitch angle and power ratio according to an exemplary embodiment.

[0049] Figure 7 The flowchart shows another wind farm energy management method based on pitch angle and power ratio according to an exemplary embodiment.

[0050] Figure 8 is a block diagram of an electronic device 800 according to an exemplary embodiment.

[0051] Fig. 9 is a block diagram of an electronic device 900 according to an exemplary embodiment. DETAILED DESCRIPTION

[0052] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0053] It is to be understood that, although the operations are described in a specific order in the drawings in the embodiments of the present disclosure, it should not be understood as requiring the operations to be performed in the specific order shown or in a serial order, or requiring the execution of all the operations shown to obtain the desired results. In certain environments, multitasking and parallel processing may be advantageous.

[0054] It should be noted that all actions of acquiring signals, information or data in the present disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the device is located and with the authorization given by the owner of the corresponding device.

[0055] Figure 1 It is a block diagram of a wind farm energy management system based on pitch angle and power ratio according to an exemplary embodiment. The wind farm includes one or more wind turbines. The wind farm energy management system 100 based on pitch angle and power ratio includes: an increment determination module 101, a weight determination module 102 and a control module 103;

[0056] The increment determination module 101 is used to determine the active power deviation value of the wind farm by comparing the acquired total active power output of the wind farm with the preset target active power of the wind farm, input the active power deviation value into the proportional integral differential controller, determine the active power command increment of the wind farm, and send the active power command increment to the control module 103;

[0057] The weight determination module 102 is used to obtain the grid-connected status of the one or more wind turbines in the wind farm. When the wind turbine is grid-connected, the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine are obtained, the power ratio of the wind turbine is determined based on the preset theoretical active power and the actual active power, the allocation weight of the wind turbine is determined based on the power ratio, pitch angle and health weight coefficient of the wind turbine, and the allocation weight of the wind turbine is sent to the control module 103;

[0058] The control module 103 is used to control the operation of the wind turbine generator set based on the allocation weight of the wind turbine generator set, the active power command increment and a preset active power command increment adjustment threshold.

[0059] Exemplarily, in the wind farm energy management system 100 based on pitch angle and power ratio, the increment determination module 101 determines the active power deviation value of the wind farm by comparing the acquired total active power output of the wind farm with the preset target active power of the wind farm, inputs the active power deviation value into the proportional integral differential controller, determines the active power command increment of the wind farm, and sends the active power command increment to the control module 103; the weight determination module 102 obtains the grid-connected status of the one or more wind turbines in the wind farm, and when the wind turbine is grid-connected, obtains the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine, based on The preset theoretical active power and the actual active power determine the power ratio of the wind turbine set, and based on the power ratio, pitch angle and health weight coefficient of the wind turbine set, determine the allocation weight of the wind turbine set, and send the allocation weight of the wind turbine set to the control module 103; the control module 103 controls the operation of the wind turbine set based on the allocation weight of the wind turbine set, the active power command increment and the preset active power command increment adjustment threshold, and can allocate the active power in the wind farm according to the wind turbine sets through the energy management system, so as to achieve the stability of the total active power output in the wind farm and the rationality of the active power allocation of each wind turbine set, optimize the overall power generation efficiency of the wind farm station, and ensure the stable operation of the power grid.

[0060] Through the above technical scheme, when the wind farm is energy managed, the energy management system based on the proportional-integral-differential controller can determine the active power command increment of the wind farm through the total active power output of the wind farm and the preset target active power. The health weight coefficient of each grid-connected wind turbine in the wind farm is determined based on the actual experience of the on-site qualified operation and maintenance engineer, combined with the actual active power, pitch angle and preset theoretical active power of each grid-connected wind turbine in the wind farm, and then the grid-connected wind turbines in the wind farm are weighted. According to the weight of each wind turbine, the allocation weight of the wind turbine, the active power command increment and the preset active power command increment adjustment threshold, the operation of the wind turbine in the wind farm is controlled. By optimizing the active power allocation strategy of the energy management system in the wind farm, the accuracy and stability of active power control are improved, and the wind resources can be maximized to improve the overall power generation efficiency of the wind farm. At the same time, the response speed of the wind turbine is improved to ensure the stable operation of the wind farm station power grid.

[0061] Figure 2 It is a block diagram of another wind farm energy management system based on pitch angle and power ratio according to an exemplary embodiment, wherein the weight determination module 102 comprises: a unit state determination submodule 1021 and a weight determination submodule 1022;

[0062] The unit state determination submodule 1021 is used to obtain the grid-connected state of one or more wind turbines in the wind farm, and when the state of the wind turbine in the wind farm is grid-connected, the grid-connected state of the wind turbine is sent to the weight determination submodule 1022;

[0063] The weight determination submodule 1022 is used to obtain the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine when the wind turbine is in the grid-connected state, determine the power ratio of the wind turbine based on the actual active power and the preset theoretical active power, and determine the allocation weight of the wind turbine based on the power ratio, pitch angle and health weight coefficient of the wind turbine.

[0064] Exemplarily, the unit status determination submodule 1021 obtains the grid-connected status of one or more wind turbines in the wind farm. When the status of the wind turbine in the wind farm is grid-connected, the grid-connected status of the wind turbine is sent to the weight determination submodule 1022; the weight determination submodule 1022 obtains the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine, determines the power ratio of the wind turbine based on the actual active power and the preset theoretical active power, and determines the allocation weight of the wind turbine based on the power ratio, pitch angle and health weight coefficient of the wind turbine.

[0065] Figure 3 It is a block diagram of another wind farm energy management system based on pitch angle and power ratio according to an exemplary embodiment, wherein the weight determination submodule 1022 comprises: a power ratio determination unit 10221, a health weight coefficient determination unit 10222 and a wind turbine weight determination unit 10223;

[0066] The power ratio determination unit 10221 is used to determine the power ratio of the wind turbine generator set by calculating the ratio of the preset theoretical active power to the actual active power;

[0067] The health weight coefficient determination unit 10222 is used to receive the health weight coefficient input by the user;

[0068] The wind turbine group weight determination unit 10223 is used to determine the allocation weight of the wind turbine group based on the power ratio, pitch angle and health weight coefficient of the wind turbine group.

[0069] Exemplarily, in the wind farm energy management system 100 based on pitch angle and power ratio, the power ratio determination unit 10221 determines the power ratio of the wind turbine set by calculating the ratio of the preset theoretical active power to the actual active power; the health weight coefficient determination unit 10222 receives the health weight coefficient input by the user; and the wind turbine set weight determination unit 10223 determines the allocation weight of the wind turbine set based on the power ratio, pitch angle and health weight coefficient of the wind turbine set.

[0070] Through the above technical scheme, the active power command increment of the wind farm can be determined by the total active power output of the wind farm and the preset target active power, and then the wind turbines connected to the wind farm are weighted. According to the allocation weights and active power command increments of each wind turbine and the preset active power command increment adjustment threshold, the operation of the wind turbines is controlled, the active power allocation strategy of the energy management system in the wind farm is optimized, the accuracy and stability of active power control are improved, and the response speed of the wind turbines is improved, thereby ensuring the stable operation of the wind farm station power grid.

[0071] Figure 4 The present invention is a flow chart of a wind farm energy management method based on pitch angle and power ratio according to an exemplary embodiment, which is applied to a wind farm energy management system based on pitch angle and power ratio. The method includes:

[0072] In step S11, the total active power output of the wind farm is obtained, and the active power deviation value of the wind farm is determined by comparing the total active power with the preset target active power of the wind farm. Based on the proportional-integral-differential controller and the active power deviation value, the active power command increment of the wind farm is determined.

[0073] In step S12, the grid-connected status of one or more wind turbines in the wind farm is obtained. When the status of the wind turbine in the wind farm is grid-connected, the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine are obtained to determine the allocation weight of the wind turbine.

[0074] In step S13, the operation of the wind turbine generator set is controlled based on the allocation weight of the wind turbine generator set, the active power command increment and a preset active power command increment adjustment threshold.

[0075] Exemplarily, the wind farm energy management system based on pitch angle and power ratio obtains the total active power output of the wind farm in real time, and determines the active power deviation value of the wind farm by comparing the total active power with the preset target active power of the wind farm. The preset target active power value is usually set by the power grid dispatching center according to the current power grid load and the total power generation capacity of the wind turbines in the wind farm; based on the proportional-integral-differential controller and the active power deviation value, the active power command increment of the wind farm is determined; the grid-connected status of one or more wind turbines in the wind farm is obtained, and when the status of the wind turbine in the wind farm is grid-connected, the active power command increment of the wind turbine is obtained. The actual active power, the preset theoretical active power, the pitch angle and the health weight coefficient are used to determine the allocation weight of the wind turbine set. The health weight coefficient is evaluated by the staff in combination with the health status of the wind turbine set during semi-annual inspections and daily inspections. Based on the allocation weight of the wind turbine set, the active power command increment and the preset active power command increment adjustment threshold, the operation of the wind turbine set is controlled. The energy management system can distribute the total output active power in the wind farm according to the wind turbine sets, thereby achieving the stability of the total active power output in the wind farm and the rationality of the active power distribution of each wind turbine set, optimizing the overall power generation efficiency of the wind farm station, and ensuring the stable operation of the power grid.

[0076] Through the above technical scheme, when the wind farm is energy managed, the energy management system based on the proportional-integral-differential controller can determine the active power command increment of the wind farm through the total active power output of the wind farm and the preset target active power. The health weight coefficient of each grid-connected wind turbine in the wind farm is determined based on the actual experience of the on-site qualified operation and maintenance engineer, combined with the actual active power, pitch angle and preset theoretical active power of each grid-connected wind turbine in the wind farm, and then the grid-connected wind turbines in the wind farm are weighted. According to the weight of each wind turbine, the allocation weight of the wind turbine, the active power command increment and the preset active power command increment adjustment threshold, the operation of the wind turbine in the wind farm is controlled. By optimizing the active power allocation strategy of the energy management system in the wind farm, the accuracy and stability of active power control are improved, and the wind resources can be maximized to improve the overall power generation efficiency of the wind farm. At the same time, the response speed of the wind turbine is improved to ensure the stable operation of the wind farm station power grid. Figure 5 is a flow chart of another wind farm energy management method based on pitch angle and power ratio according to an exemplary embodiment, wherein step S11 includes:

[0077] In step S111, the total active power output of the wind farm is acquired, and the active power deviation value of the wind farm is determined by the difference between the total active power and the preset target active power of the wind farm.

[0078] In step S112, based on a proportional-integral-derivative controller, the active power deviation value is input as an input value to the proportional-integral-derivative controller to determine an active power command increment of the wind farm.

[0079] The calculation formula of the proportional integral derivative controller is as follows:

[0080] ΔP=f PID (P a -P s )

[0081] Among them, ΔP is the active power command increment, P a is the total active power of the wind farm, P s is the preset target active power.

[0082] Exemplarily, the total output active power of the wind farm is obtained, and the active power deviation value of the wind farm is determined by the difference between the total active power and the preset target active power of the wind farm. The preset target active power value is usually set by the power grid dispatching center according to the current power grid load and the total power generation capacity of the wind turbines in the wind farm. The common operating conditions of wind turbines are divided into two states: power restriction and unlimited power. The preset target active power in the power restriction state is lower than the theoretical active power value. When the wind turbine is in the power restriction state, the pitch angle of the wind turbine is usually not opened to the maximum extent; the preset target active power of the wind turbine in the unlimited power state is equal to the theoretical active power value. Based on the proportional-integral-differential controller, the active power deviation value is used as an input value and input into the proportional-integral-differential controller to determine the active power command increment of the wind farm.

[0083] Figure 6 is a flow chart of another wind farm energy management method based on pitch angle and power ratio according to an exemplary embodiment, wherein step S12 includes:

[0084] In step S121, the grid-connected status of one or more wind turbines in the wind farm is obtained.

[0085] In step S122, when the state of the wind turbine in the wind farm is grid-connected, the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine are obtained.

[0086] In step S123, the power ratio of the wind turbine generator set is determined by calculating the ratio of the preset theoretical active power to the actual active power.

[0087] In step S124, the allocation weight of the wind turbine generator set is determined based on the power ratio, pitch angle and health weight coefficient of the wind turbine generator set.

[0088] Exemplarily, the grid-connected status of one or more wind turbines in the wind farm is obtained. When the wind turbine in the wind farm is grid-connected, the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine are obtained. The pitch angle of the wind turbine refers to the angle between the airfoil chord at the top of the wind turbine blade and the rotation plane. In a wind turbine generator set, if the plane where the three blades are located is taken as a reference plane, then the angle between any blade and the reference plane is the blade pitch angle, and its adjustment range is generally 0° to 90°. When the actual active power is lower than the rated power, the blade pitch angle is set to zero. When the rate is high, the pitch angle is fully opened and maintained near 0°, so that the output power of the generator is increased. When the power exceeds the rated power, the blades are retracted at this time. The output power is limited by adjusting the pitch angle to prevent the wind turbine from overloading. The active power of the wind turbine is controlled by adjusting the pitch angle. The health weight coefficient is evaluated by the staff in combination with the health status of the wind turbine during the semi-annual inspection and daily inspection. The power ratio of the wind turbine is determined by calculating the ratio of the preset theoretical active power to the actual active power. For example, the active power ratio k refers to the ratio of the preset theoretical active power p of each wind turbine to the actual active power p. t The actual active power p of the current wind turbine a The ratio is calculated to measure the power generation capacity of the wind turbine. The expression is as follows:

[0089]

[0090] Among them, k is the ratio of active power; o t is the preset theoretical active power of the wind turbine; p a is the actual active power of the current wind turbine.

[0091] Based on the power ratio, pitch angle and health weight coefficient of the wind turbine, the allocation weight of the wind turbine is determined. For example, if there are m wind turbines in a wind farm, when the power adjustment command is issued, it is obtained that n of the m wind turbines are connected to the grid. According to the allocation principle, the wind turbines that are not connected to the grid are eliminated, and the wind farm energy management system based on pitch angle and power ratio is used to allocate the active power command increment ΔP in the wind farm to the n grid-connected wind turbines for power adjustment. ΔP i The larger the value is, the greater the active power regulation capability of the wind turbine. The wind turbine should obtain a larger allocation weight in the active power allocation, which can make full use of the power generation potential of each wind turbine, avoid overload operation of the wind turbine or idleness of some wind turbines, and improve the power generation efficiency of the wind farm.

[0092] Figure 7 is a flow chart of another wind farm energy management method based on pitch angle and power ratio according to an exemplary embodiment, wherein step S13 includes:

[0093] In step S131, the active power command increment of the wind farm is compared with a preset active power command increment adjustment threshold.

[0094] In step S132, when the absolute value of the active power command increment is less than or equal to the preset active power command increment adjustment threshold, the wind turbine generator set maintains the current operating state.

[0095] In step S133, when the absolute value of the active power command increment is greater than the preset active power command increment adjustment threshold and the active power command increment is less than zero, based on the active power command increment and the allocation weight of the wind turbine generator set, the operation of the wind turbine generator set in the wind farm is controlled to increase the total active power in the wind farm.

[0096] In step S134, when the absolute value of the active power command increment is greater than the preset active power command increment adjustment threshold and the active power command increment is greater than zero, based on the active power command increment and the allocation weight of the wind turbine generator set, the operation of the wind turbine generator set in the wind farm is controlled to reduce the total active power in the wind farm.

[0097] Exemplarily, the active power command increment of the wind farm is compared with a preset active power command increment adjustment threshold; when the absolute value of the active power command increment is less than or equal to the preset active power command increment adjustment threshold, the wind turbine maintains the current operating state; when the absolute value of the active power command increment is greater than the preset active power command increment adjustment threshold, and the active power command increment is less than zero, based on the active power command increment and the allocation weight of the wind turbine, the operation of the wind turbine in the wind farm is controlled to increase the total active power in the wind farm; when the absolute value of the active power command increment is greater than the preset active power command increment adjustment threshold, and the active power command increment is greater than zero, based on the active power command increment and the allocation weight of the wind turbine, the operation of the wind turbine in the wind farm is controlled to reduce the total active power in the wind farm. For example: the preset active power command increment adjustment threshold is P ds , when ABS(ΔP)≤P ds When ABS(ΔP)>P ds When ABS(ΔP)>P ds When ΔP>0, the active power command increment ΔP is distributed to n grid-connected units to reduce the total active power in the wind farm. dsWhen ΔP<0, the active power command increment ΔP is distributed to n grid-connected units to increase the total active power in the wind farm.

[0098] In other embodiments, when the wind turbine generator set opens the pitch angle to the maximum after being connected to the grid to fully obtain wind energy, until the power reaches the rated power, the pitch angle is changed in real time to prevent overspeed, so that the active power is maintained at the rated power. When the wind turbine generator set is connected to the grid until the power reaches the rated power, the pitch angle is generally equal to the pitch angle when the propeller is opened to the maximum. Therefore, when calculating the weight, the pitch angle is calculated in two cases: equal to the maximum pitch angle and not equal to the maximum pitch angle.

[0099] When ABS(ΔP)>P ds When ΔP>0, the active power command increment ΔP is allocated to n grid-connected units to reduce the total active power in the wind farm. The weight ΔP allocated to the i-th wind turbine in the wind farm is i for:

[0100] when a i ≠a max[i] hour:

[0101]

[0102] when a i =a max[i] hour:

[0103]

[0104] Among them, ΔP i Assign weights to the i-th wind turbine; k i is the active power ratio of the i-th wind turbine; a i is the pitch angle of the i-th wind turbine; a max[i] is the pitch angle of the i-th wind turbine when the propeller is turned on at the maximum; γ Hea[i] is the health weight coefficient of the i-th wind turbine.

[0105] When ABS(ΔP)>P ds When ΔP<0, the active power command increment ΔP is allocated to n grid-connected units to increase the total active power in the wind farm. The weight ΔP allocated to the i-th wind turbine in the wind farm is i for:

[0106] when a i ≠a max[i] hour:

[0107]

[0108] when a i =a max[i] hour:

[0109]

[0110] Among them, ΔP i Assign weights to the i-th wind turbine; k i is the active power ratio of the i-th wind turbine; a i is the pitch angle of the i-th wind turbine; a max[i] is the pitch angle of the i-th wind turbine when the propeller is turned on at the maximum; γ Hea[i] is the health weight coefficient of the i-th wind turbine.

[0111] Through the above technical scheme, when the wind farm is energy managed, the energy management system based on the proportional-integral-differential controller can determine the active power command increment of the wind farm through the total active power output of the wind farm and the preset target active power. The health weight coefficient of each grid-connected wind turbine in the wind farm is determined based on the actual experience of the on-site qualified operation and maintenance engineer, combined with the actual active power, pitch angle and preset theoretical active power of each grid-connected wind turbine in the wind farm, and then the grid-connected wind turbines in the wind farm are weighted. According to the weight of each wind turbine, the allocation weight of the wind turbine, the active power command increment and the preset active power command increment adjustment threshold, the operation of the wind turbine in the wind farm is controlled. By optimizing the active power allocation strategy of the energy management system in the wind farm, the accuracy and stability of active power control are improved, and the wind resources can be maximized to improve the overall power generation efficiency of the wind farm. At the same time, the response speed of the wind turbine is improved to ensure the stable operation of the wind farm station power grid.

[0112] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0113] Figure 8 FIG. 8 is a block diagram of an electronic device 800 according to an exemplary embodiment. Figure 8 As shown, the electronic device 800 may include: a processor 801 and a memory 802. The electronic device 800 may also include one or more of a multimedia component 803, an input / output (I / O) interface 804, and a communication component 805.

[0114] The processor 801 is used to control the overall operation of the electronic device 800 to complete all or part of the steps in the above-mentioned wind farm energy management method based on pitch angle and power ratio. The memory 802 is used to store various types of data to support the operation of the electronic device 800, and these data may include, for example, instructions for any application or method used to operate on the electronic device 800, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 802 or sent through the communication component 805. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 804 provides an interface between the processor 801 and other interface modules, and the above-mentioned other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the electronic device 800 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 805 may include: Wi-Fi module, Bluetooth module, NFC module, etc.

[0115] In an exemplary embodiment, the electronic device 800 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned wind farm energy management method based on pitch angle and power ratio.

[0116] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the wind farm energy management method based on the pitch angle and power ratio are implemented. For example, the computer-readable storage medium can be the memory 802 including the program instructions, and the program instructions can be executed by the processor 801 of the electronic device 800 to complete the wind farm energy management method based on the pitch angle and power ratio.

[0117] Fig. 9 is a block diagram of an electronic device 900 according to an exemplary embodiment. For example, the electronic device 900 may be provided as a server. Fig. 9 The electronic device 900 includes a processor 922, which may be one or more, and a memory 932 for storing a computer program executable by the processor 922. The computer program stored in the memory 932 may include one or more modules, each corresponding to a set of instructions. In addition, the processor 922 may be configured to execute the computer program to perform the above-mentioned wind farm energy management method based on pitch angle and power ratio.

[0118] In addition, the electronic device 900 may further include a power supply component 926 and a communication component 950, wherein the power supply component 926 may be configured to perform power management of the electronic device 900, and the communication component 950 may be configured to implement communication, for example, wired or wireless communication, of the electronic device 900. In addition, the electronic device 900 may further include an input / output (I / O) interface 958. The electronic device 900 may operate based on an operating system stored in the memory 932.

[0119] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the wind farm energy management method based on the pitch angle and power ratio are implemented. For example, the non-transitory computer-readable storage medium can be the memory 932 including the program instructions, and the program instructions can be executed by the processor 922 of the electronic device 900 to complete the wind farm energy management method based on the pitch angle and power ratio.

[0120] In another exemplary embodiment, a computer program product is also provided. The computer program product includes a computer program executable by a programmable device, and the computer program has a code portion for executing the above-mentioned wind farm energy management method based on pitch angle and power ratio when executed by the programmable device.

[0121] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0122] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0123] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A wind farm energy management system based on pitch angle and power ratio, characterized in that: The wind farm includes one or more wind turbines, and the system includes: an increment determination module, a weight determination module and a control module; The increment determination module is used to determine the active power deviation value of the wind farm by comparing the acquired total active power output of the wind farm with the preset target active power of the wind farm, input the active power deviation value into the proportional integral differential controller, determine the active power command increment of the wind farm, and send the active power command increment to the control module; The weight determination module is used to obtain the grid-connected status of the one or more wind turbines in the wind farm, and when the wind turbine is grid-connected, obtain the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine, determine the power ratio of the wind turbine based on the preset theoretical active power and the actual active power, determine the allocation weight of the wind turbine based on the power ratio, pitch angle and health weight coefficient of the wind turbine, and send the allocation weight of the wind turbine to the control module; The control module is used to control the operation of the wind turbine generator set based on the allocation weight of the wind turbine generator set, the active power command increment and a preset active power command increment adjustment threshold.

2. The system according to claim 1, characterized in that The weight determination module includes: a unit state determination submodule and a weight determination submodule; The unit status determination submodule is used to obtain the grid-connected status of one or more wind turbines in the wind farm, and when the wind turbines in the wind farm are in the grid-connected state, the grid-connected status of the wind turbines is sent to the weight determination submodule; The weight determination submodule is used to obtain the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine when the wind turbine is in the grid-connected state, determine the power ratio of the wind turbine based on the actual active power and the preset theoretical active power, and determine the allocation weight of the wind turbine based on the power ratio, pitch angle and health weight coefficient of the wind turbine.

3. The system according to claim 2, characterized in that The weight determination submodule includes: a power ratio determination unit, a health weight coefficient determination unit and a wind turbine group weight determination unit; The power ratio determination unit is used to determine the power ratio of the wind turbine generator set by calculating the ratio of the preset theoretical active power to the actual active power; The health weight coefficient determination unit is used to receive the health weight coefficient input by the user; The wind turbine group weight determination unit is used to determine the allocation weight of the wind turbine group based on the power ratio, pitch angle and health weight coefficient of the wind turbine group.

4. A wind farm energy management method based on pitch angle and power ratio, applied to a wind farm energy management system based on pitch angle and power ratio, characterized in that: include: Obtaining the total active power output of the wind farm, determining the active power deviation value of the wind farm by comparing the total active power with the preset target active power of the wind farm, and determining the active power command increment of the wind farm based on a proportional-integral-differential controller and the active power deviation value; Obtaining the grid-connected status of one or more wind turbines in the wind farm, and when the wind turbines in the wind farm are in the grid-connected status, obtaining the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbines to determine the allocation weight of the wind turbines; Based on the allocation weight of the wind turbine generator set, the active power command increment and a preset active power command increment adjustment threshold, the operation of the wind turbine generator set is controlled.

5. The method according to claim 4, characterized in that The obtaining of the total active power output of the wind farm, determining the active power deviation value of the wind farm by comparing the total active power with the preset target active power of the wind farm, and determining the active power instruction increment of the wind farm based on a proportional integral differential controller and the active power deviation value, includes: Obtaining the total active power output of the wind farm, and determining the active power deviation value of the wind farm by the difference between the total active power and the preset target active power of the wind farm; Based on a proportional-integral-differential controller, the active power deviation value is input as an input value into the proportional-integral-differential controller to determine an active power command increment of the wind farm; The calculation formula of the proportional integral derivative controller is as follows: ΔP=f PID (P a -P s ) Among them, ΔP is the active power command increment, P a is the total active power of the wind farm, P s is the preset target active power.

6. The method according to claim 4, characterized in that The step of obtaining the grid-connected status of one or more wind turbines in the wind farm, and when the wind turbines in the wind farm are in the grid-connected status, obtaining the actual active power, the preset theoretical active power, the pitch angle and the health weight coefficient of the wind turbines to determine the allocation weight of the wind turbines, includes: Obtaining the grid-connected status of one or more wind turbines in the wind farm; When the state of the wind turbine in the wind farm is grid-connected, obtaining the actual active power, preset theoretical active power, pitch angle and health weight coefficient of the wind turbine; Determining the power ratio of the wind turbine generator set by calculating the ratio of the preset theoretical active power to the actual active power; The allocation weight of the wind turbine generator set is determined based on the power ratio, pitch angle and health weight coefficient of the wind turbine generator set.

7. The method according to claim 4, characterized in that The controlling the operation of the wind turbine generator set based on the allocation weight of the wind turbine generator set, the active power command increment and a preset active power command increment adjustment threshold comprises: Comparing the active power command increment of the wind farm with a preset active power command increment adjustment threshold; When the absolute value of the active power command increment is less than or equal to the preset active power command increment adjustment threshold, the wind turbine generator set maintains the current operating state; When the absolute value of the active power command increment is greater than the preset active power command increment adjustment threshold value and the active power command increment is less than zero, based on the active power command increment and the allocation weight of the wind turbine generator set, the operation of the wind turbine generator set in the wind farm is controlled to increase the total active power in the wind farm; When the absolute value of the active power command increment is greater than the preset active power command increment adjustment threshold and the active power command increment is greater than zero, based on the active power command increment and the allocation weight of the wind turbine generator set, the operation of the wind turbine generator set in the wind farm is controlled to reduce the total active power in the wind farm.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 4 to 7 are implemented.

9. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 4 to 7.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 4 to 7 are implemented.

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