CN115842355A - Wind-storage combined system power generation control method and device, electronic equipment and storage medium - Google Patents
Wind-storage combined system power generation control method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a wind-storage combined system power generation control method, a wind-storage combined system power generation control device, electronic equipment and a storage medium, wherein the wind-storage combined system power generation control method comprises the following steps: acquiring a wind storage combined frequency modulation control history log; inputting the wind storage combined frequency modulation control historical log into a preset classification model; receiving a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution which are output by a preset classification model; controlling the rotor speed of the wind turbine generator according to the pareto optimal solution of wind storage combined frequency modulation control; the power distribution of the wind turbine generator set and the energy storage subsystem is demodulated according to a frequency modulation power distribution strategy pareto optimal; and controlling output voltages of the wind turbine generator and the energy storage subsystem according to the pareto optimal solution of wind storage combined voltage regulation control. According to the embodiment of the invention, the wind power has inertia response and frequency regulation capability under all working conditions, and the overall technical economy of the wind power storage combined system is improved.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a wind power storage combined system power generation control method, a wind power storage combined system power generation control device, electronic equipment and a storage medium.
Background
The wind power plant is provided with an energy storage system with a certain capacity, and the wind power plant can be used as a means for wind power to participate in system frequency regulation by utilizing the technical advantages of quick response, accurate control, flexible and controllable bidirectional regulation and no constraint of the running state of a unit. If the wind turbine generator system can be directly combined with the wind turbine generator system to realize operation process optimization. However, no matter the energy storage is combined with the wind turbine generator or independently configured in the wind power plant, if the energy storage is only used for bearing all active control and frequency modulation requirements of the wind power plant, the problems of large energy storage capacity configuration and poor cost and economic benefits are inevitably caused.
Disclosure of Invention
In view of the above, embodiments of the present invention are proposed to provide a wind storage combined system power generation control method and a wind storage combined system power generation control apparatus that overcome or at least partially solve the above problems.
In a first aspect of the present invention, an embodiment of the present invention discloses a power generation control method for a wind storage combined system, where the wind storage combined system includes a wind turbine generator and an energy storage subsystem, and the method includes:
acquiring a wind storage combined frequency modulation control history log;
inputting the wind storage combined frequency modulation control historical log into a preset classification model, wherein the preset classification model is used for performing classification solution on the wind storage combined frequency modulation control historical log, outputting a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution;
receiving the wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution;
controlling the rotor speed of the wind turbine generator according to the pareto optimal solution of the wind storage combined frequency modulation control;
adjusting the power distribution of the wind turbine generator and the energy storage subsystem according to the frequency modulation power distribution strategy pareto optimal demodulation;
and controlling the output voltages of the wind turbine generator and the energy storage subsystem according to the pareto optimal solution of the wind storage combined voltage regulation control.
Optionally, the method further comprises:
receiving historical operating data of the wind turbine generator and the energy storage subsystem;
constructing a Markov chain based on the historical operating data;
and sampling the Markov chain to generate a time delay prediction model, wherein the time delay prediction model is used for calculating the operation failure rate.
Optionally, the method further comprises:
acquiring current operation data of the wind turbine generator and the energy storage subsystem, and inputting the current operation data into the time delay prediction model;
receiving the operation failure rate output by the time delay prediction model;
and when the operation failure rate is higher than a preset failure threshold value, adjusting the wind turbine generator and the energy storage subsystem.
Optionally, the wind storage combined frequency modulation control pareto optimal solution comprises a wind turbine generator power standby parameter and a frequency modulation demand power parameter; the step of controlling the rotor speed of the wind turbine generator according to the pareto optimal solution of the wind storage combined frequency modulation control comprises the following steps:
determining the standby power of the wind turbine generator according to the standby power parameter of the wind turbine generator;
determining an initial rotor rotating speed corresponding to the standby power of the wind turbine generator, and controlling the rotor rotating speed of the wind turbine generator by adopting the initial rotor rotating speed;
when the output frequency change of the wind power storage combined system is detected, acquiring the real-time frequency of the wind power storage combined system;
determining the rotating speed of a response rotor according to the real-time frequency and the frequency modulation required power parameter;
and combining the initial rotor rotating speed and the response rotor rotating speed to obtain a frequency modulation rotor rotating speed, and controlling the rotor rotating speed of the wind turbine generator by adopting the frequency modulation rotor rotating speed.
Optionally, the frequency modulation demand power parameter comprises a rated frequency; the step of determining the response rotor speed according to the real-time frequency and the frequency modulation demand power parameter comprises the following steps:
calculating a frequency difference value between the real-time frequency and the rated frequency and a differential value of the frequency difference value to time;
performing proportion adjustment based on the frequency difference value to generate first frequency modulation demand sub-power;
carrying out proportional adjustment based on the differential value to generate a second frequency modulation required sub-power;
determining the required frequency modulation power by combining the first required frequency modulation sub-power and the second required frequency modulation sub-power;
and determining the response rotor rotating speed according to the frequency modulation required power.
Optionally, the pareto optimal solution of the frequency modulation power distribution strategy includes a wind turbine regulation limit; the step of adjusting the power distribution of the wind turbine generator and the energy storage subsystem according to the pareto optimal demodulation of the frequency modulation power distribution strategy comprises the following steps:
when the frequency modulation required power is larger than zero, controlling the wind turbine generator set to downwards adjust the output power and controlling the energy storage subsystem to be in a charging state;
and when the frequency modulation required power is less than zero, controlling the wind turbine generator set to adjust the output power based on the wind turbine generator set adjustment limit value and controlling the energy storage subsystem to be in a discharge state.
Optionally, the wind storage joint voltage regulation control pareto optimal solution includes a reference voltage, and the step of controlling the output voltages of the wind turbine generator and the energy storage subsystem according to the wind storage joint voltage regulation control pareto optimal solution includes:
judging whether the output voltage of the wind turbine generator can reach a voltage value corresponding to the reference voltage;
when the output voltage of the wind turbine generator can reach the voltage value corresponding to the reference voltage, controlling the output voltage of the wind turbine generator based on the voltage value corresponding to the reference voltage;
and when the output voltage of the wind turbine generator cannot reach the voltage value corresponding to the reference voltage, jointly controlling the output voltages of the wind turbine generator and the energy storage subsystem based on the voltage value corresponding to the reference voltage.
In a second aspect of the present invention, an embodiment of the present invention discloses a wind storage combined system power generation control device, where the wind storage combined system includes a wind turbine generator and an energy storage subsystem, and the device includes:
the first acquisition module is used for acquiring a wind storage combined frequency modulation control historical log;
the classification module is used for inputting the wind storage combined frequency modulation control history log into a preset classification model, and the preset classification model is used for performing classification solution on the wind storage combined frequency modulation control history log, outputting a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution;
the first receiving module is used for receiving the wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution;
the first control module is used for controlling the rotor speed of the wind turbine generator according to the wind storage combined frequency modulation control pareto optimal solution;
the second control module is used for optimally demodulating and adjusting the power distribution of the wind turbine generator and the energy storage subsystem according to the frequency modulation power distribution strategy;
and the third control module is used for controlling the output voltages of the wind turbine generator and the energy storage subsystem according to the pareto optimal solution of the wind storage combined voltage regulation control.
In a third aspect of the present invention, an embodiment of the present invention discloses an electronic device, which includes a processor, a memory, and a computer program stored on the memory and capable of running on the processor, and when the computer program is executed by the processor, the steps of the wind storage combined system power generation control method are implemented.
In a fourth aspect of the present invention, an embodiment of the present invention discloses a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the wind storage combined system power generation control method as described above.
The embodiment of the invention has the following advantages:
the embodiment of the invention controls the historical log by acquiring the wind storage combined frequency modulation; inputting the wind storage combined frequency modulation control historical log into a preset classification model, wherein the preset classification model is used for carrying out classification solution on the wind storage combined frequency modulation control historical log, outputting a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution; receiving the wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution; controlling the rotor speed of the wind turbine generator according to the pareto optimal solution of the wind storage combined frequency modulation control; adjusting the power distribution of the wind turbine generator and the energy storage subsystem according to the frequency modulation power distribution strategy pareto optimal demodulation; and controlling the output voltages of the wind turbine generator and the energy storage subsystem according to the pareto optimal solution of the wind storage combined voltage regulation control. By organically combining the frequency modulation and pressure regulation means of the wind turbine generator with the energy storage subsystem, the response speed and capacity matching advantages of the energy storage subsystem are utilized to make up for the defects of the wind turbine generator in the aspects of response speed, capacity reliability and the like, so that the inertia response and frequency regulation capability of the wind storage combined system under the full working condition of wind power generation can be realized, and the overall technical economy of the wind storage combined system is improved.
Drawings
FIG. 1 is a flow chart illustrating steps of an embodiment of a wind power generation and storage combined system power generation control method of the present invention;
FIG. 2 is a flow chart illustrating steps of another embodiment of a method for controlling power generation of a wind storage combined system according to the present invention;
FIG. 3 is a schematic diagram of an example of response rotor speed control of a combined wind and storage system power generation control method of the invention;
FIG. 4 is a flow chart illustrating exemplary steps of a wind storage combined system power generation control method of the present invention;
fig. 5 is a block diagram of an embodiment of a wind power generation control device of a wind power storage combined system according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Referring to fig. 1, a flow chart of steps of an embodiment of a power generation control method of a wind storage combined system according to the present invention is shown, where the wind storage combined system includes a wind turbine generator and an energy storage subsystem, and the wind turbine generator is configured to receive wind energy and convert the wind energy into electric energy for output. The energy storage subsystem is used for stabilizing the fluctuation of the output power of the wind turbine; when the output power of the wind turbine generator is reduced, the energy storage subsystem is in a discharging state to supplement the output power of the wind storage combined system, and when the output power of the wind turbine generator is increased, the energy storage subsystem is in a charging state to absorb part of the output power of the wind turbine generator, so that the output power of the wind storage combined system does not exceed the rated power.
The wind power storage combined system power generation control method specifically comprises the following steps:
in the embodiment of the invention, the wind storage combined system generates the wind storage combined frequency modulation control history log according to the regulated parameters in the daily regulation and control process, and stores the wind storage combined frequency modulation control history log into the specified storage address. The storage address can be a local storage address of the wind storage combined system, can also be a storage address of a third-party database connected with the wind storage combined system, and can also be a cloud storage address of a cloud space connected with the wind storage combined system. The embodiment of the present invention is not limited thereto.
And acquiring a wind storage combined frequency modulation control historical log from the designated storage address.
102, inputting the wind storage combined frequency modulation control history log into a preset classification model, wherein the preset classification model is used for performing classification solution on the wind storage combined frequency modulation control history log, outputting a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution;
and inputting the wind storage combined frequency modulation control historical log as input data into a preset classification model. The preset classification model can receive the wind storage combined frequency modulation control historical logs and perform aggregation classification on all the wind storage combined frequency modulation control historical logs according to the type of regulation and control; the regulation and control types comprise three strategies, namely wind storage combined frequency modulation control, wind storage combined voltage regulation control and frequency modulation power distribution. The method comprises the steps of classifying through a preset classification model, and respectively solving Pareto optimal solutions (Pareto optimal solutions) of three types to obtain a wind storage combined frequency modulation control Pareto optimal solution, a wind storage combined voltage regulation control Pareto optimal solution and a frequency modulation power distribution strategy Pareto optimal solution so as to find possible hidden classifications, and meanwhile, carrying out value uniqueness on data belonging to a plurality of classifications to facilitate accurate control.
103, receiving the wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution;
after the wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution are obtained through calculation of the preset classification model, the wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution output by the preset classification model can be received.
104, controlling the rotor speed of the wind turbine generator according to the pareto optimal solution of wind storage combined frequency modulation control;
receiving a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution; specific control can be performed based on the three types of regulation, wherein the control sequence is not limited, that is, in the embodiment of the present invention, the execution sequence of steps 104 to 106 is not limited; the order of execution of embodiments of the present invention is for illustration only.
The pareto optimal solution can be controlled according to the wind storage combined frequency modulation, and the output frequency of the wind storage combined system in the power generation process is determined; the electrical frequency is adjusted through the rotor rotating speed of the wind turbine generator; therefore, the rotor speed of the wind turbine generator is controlled according to the pareto optimal solution of wind storage combined frequency modulation control so as to meet the requirement of output frequency.
105, adjusting the power distribution of the wind turbine generator and the energy storage subsystem according to the frequency modulation power distribution strategy pareto optimal demodulation;
in the embodiment of the invention, the distribution condition of the output power between the wind turbine generator and the energy storage subsystem can be determined according to the pareto optimal solution of the frequency modulation power distribution strategy, and the power distribution between the output power of the wind turbine generator and the power of the energy storage subsystem is adjusted.
And 106, controlling the output voltages of the wind turbine generator and the energy storage subsystem according to the pareto optimal solution of the wind storage combined voltage regulation control.
In the embodiment of the invention, the output voltage of the wind storage combined system in the power generation process can be determined according to the pareto optimal solution of wind storage combined voltage regulation control, and the output voltage requirements can be met by respectively adjusting the output voltages of the wind turbine generator and the energy storage subsystem.
The embodiment of the invention controls the historical log by acquiring the wind storage combined frequency modulation; inputting the wind storage combined frequency modulation control historical log into a preset classification model, wherein the preset classification model is used for performing classification solution on the wind storage combined frequency modulation control historical log, outputting a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution; receiving the wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution; controlling the rotor speed of the wind turbine generator according to the pareto optimal solution of the wind storage combined frequency modulation control; adjusting the power distribution of the wind turbine generator and the energy storage subsystem according to the frequency modulation power distribution strategy pareto optimal demodulation; and controlling the output voltages of the wind turbine generator and the energy storage subsystem according to the pareto optimal solution of the wind storage combined voltage regulation control. By organically combining the frequency modulation and voltage regulation means of the wind turbine generator with the energy storage subsystem, the response speed and capacity ratio advantages of the energy storage subsystem are utilized to make up the defects of the wind turbine generator in the aspects of response speed, capacity reliability and the like, the inertial response and frequency regulation capacity of the wind storage combined system under the full working condition of wind power generation can be realized, and the overall technical economy of the wind storage combined system is improved.
Referring to fig. 2, a flow chart of steps of another embodiment of a power generation control method of a wind storage combined system according to the present invention is shown, where the wind storage combined system includes a wind turbine generator and an energy storage subsystem, and the wind turbine generator is configured to receive wind energy and convert the wind energy into electric energy for output. The energy storage subsystem is used for stabilizing the fluctuation of the output power of the wind turbine generator. The wind power storage combined system power generation control method specifically comprises the following steps:
in the embodiment of the invention, historical operating data of the wind turbine generator and the energy storage subsystem can be received; the historical operating data records the operating states of the wind turbine generator and the energy storage subsystem under various working conditions.
constructing all historical operating data into a Markov chain (Markov chain); so that the discrete historical operating data forms a data set with irreducibility, constant return, periodicity and ergodicity.
after the Markov chain is obtained, sampling can be carried out on the Markov chain, and a time delay prediction model is constructed based on data obtained by the Markov chain sampling; the wind storage combined pressure regulating control and wind storage combined frequency modulation control real-time parameters are predicted through the time delay prediction model, and the operation failure rate of the wind storage combined system in the future is calculated, so that the wind storage combined system can be continuously and healthily operated.
Specifically, the delay prediction model may be a markov transition probability matrix model, and the formula corresponding to the delay prediction model is:
x (k + 1) = X (k) × P (formula 1)
Wherein, X (k) represents a state vector of the trend analysis and prediction object at the time t = k, P represents a one-step transition probability matrix, and X (k + 1) represents a state vector of the trend analysis and prediction object at the time t = k + 1.
The specific value of the one-step transition probability matrix may be determined by those skilled in the art according to the actual working condition of the wind-storage combined system, and the embodiment of the present invention is not limited in detail herein.
and acquiring the wind-storage combined frequency modulation control historical log from the storage address of the wind-storage combined frequency modulation control historical log.
in practical applications, the solution formula of the preset classification model may be:
minf(x)＝(f 1 (x)，...，f p (x)) T (formula 2)
Where the variable feasible region is S, and the corresponding target feasible region Z = f (S).
By giving a feasible point x * Is epsilon of S, having
With f (x) * ) < f (x), then x * Referred to as the absolute optimal solution of the multi-objective planning problem. If x ∈ S does not exist, so that f (x) < f (x) * ) Then x * Called the effective solution to the objective planning problem, i.e., the Pareto optimal solution (Pareto optility).
Therefore, the wind storage combined frequency modulation control historical log can be input into a preset classification model, the preset classification model classifies the wind storage combined frequency modulation control historical log according to three types of wind storage combined frequency modulation control, wind storage combined voltage regulation control and frequency modulation power distribution strategies, the control content of each type is determined, and the preset classification model solves the formula 2 in a preset variable feasible region aiming at each type; respectively outputting a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution. And respectively taking the wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution as control bases in the subsequent control process.
In addition, after outputting the wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution, the preset classification model can feed back the output wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution.
receiving an output wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution; the wind storage combined system is controlled differently by adopting an output wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution, so that the wind storage combined system can meet the use requirement in the power generation process.
and controlling the pareto optimal solution according to the wind storage combined frequency modulation, and controlling the rotor speed of the wind turbine generator so as to change the output electric frequency of the wind storage combined system.
In an optional embodiment of the invention, the wind storage combined frequency modulation control pareto optimal solution comprises a wind turbine generator power standby parameter and a frequency modulation demand power parameter; the step of controlling the rotor speed of the wind turbine generator according to the pareto optimal solution of the wind storage combined frequency modulation control may include the substeps of:
substep S2071, determining the standby power of the wind turbine generator according to the standby power parameter of the wind turbine generator;
the wind turbine generator power standby parameters comprise frequency modulation capacity provided by the wind turbine generator during operation, the larger the frequency modulation capacity is, the larger the wind turbine generator standby power is, and otherwise, the smaller the frequency modulation capacity is, the smaller the wind turbine generator standby power is; the corresponding wind turbine generator set standby power can be determined according to the size of the frequency modulation capacity in the wind turbine generator set power standby parameters.
Substep S2072, determining an initial rotor rotating speed corresponding to the standby power of the wind turbine generator, and controlling the rotor rotating speed of the wind turbine generator by adopting the initial rotor rotating speed;
determining an initial rotor rotating speed corresponding to the standby power of the wind turbine generator according to the relation between the power and the rotating speed; controlling the rotor of the wind turbine generator to regulate the speed by adopting the initial rotor rotating speed as a target value; so as to control the rotor speed of the wind turbine generator.
In addition, in practical application, in consideration of technical economy of frequency modulation, 4 wind speed fixed values can be preset, and different load shedding standby strategies are given corresponding to different wind speed fixed values. Setting the frequency modulation reserve capacity as a certain ratio of the maximum generated power of the wind turbine generator at a specific wind speed, and setting the wind speed at which the maximum output power of the wind turbine generator is 40% of the rated power as a threshold.
Considering the limitation of the rotor speed, the range from the threshold wind speed to the cut-out wind speed constant value is divided into 3 stages, namely low wind speed, medium wind speed and high wind speed. Wherein the upper limit of the low wind speed is the wind speed at which the overspeed control can completely provide the spare capacity; the upper limit of the medium wind speed is the wind speed when the maximum power point tracking is adopted and the rotating speed reaches the maximum rotating speed. And under different wind speed fixed values, corresponding overspeed control strategies are different, and overspeed control power standby curves are obtained. When the wind speed is lower than the threshold wind speed, the power which can be sent by the wind power rotor rotating speed unit is smaller, at the moment, the overspeed standby power is smaller, and at the stage, the wind power unit can operate according to maximum power tracking. When the wind speed is in a low wind speed section, certain frequency modulation capacity can be provided by overspeed control, and at the moment, the wind turbine generator is operated in a load shedding standby mode. When the wind speed is in the medium wind speed section, due to the limitation of the rotating speed, overspeed cannot be carried out after the maximum rotating speed is exceeded, and the residual spare capacity can be provided by variable pitch control. When the wind turbine is in a high wind speed section, the spare capacity is mainly provided by the variable pitch control of the wind turbine generator. In the middle and high wind speed section, the overspeed control can also be matched with the pitch control to operate, and the pitch angle is related to the wind energy utilization coefficient. In the middle and high wind speed section, the rotating speed of the wind turbine generator is the maximum rotating speed, under the determined wind speed, the tip speed ratio is a fixed value, the pitch angle is a function of the wind energy utilization coefficient, and the control strategy is the same. And in different wind speed sections, the initial pitch angle of the system and the rotor rotation speed can be obtained according to the standby power requirement of the wind turbine generator.
Substep S2073, when detecting the output frequency change of the wind storage combined system, acquiring the real-time frequency of the wind storage combined system;
when a change in the output frequency of the combined wind storage system is detected during operation of the combined wind storage system, the frequency modulation demand power can be determined to determine the increment of the rotor speed that needs to be changed. Wherein the increment may be a positive increment or a negative increment.
Therefore, the required frequency modulation power is judged, and the real-time frequency currently output by the wind storage combined system is obtained.
Substep S2074, determining the response rotor speed according to the real-time frequency and the frequency modulation demand power parameter;
according to the difference between the real-time frequency and the frequency modulation required power parameter; and detecting the frequency change of the system, determining to change the rotating speed of the rotor of the wind turbine generator, and releasing or increasing kinetic energy in the rotor to meet the requirement. The response rotor speed is the speed corresponding to the increment of the rotor speed needing to be changed. If the increment of the rotating speed is increased by 50 revolutions per minute, the 50 revolutions per minute is the rotating speed of the response rotor.
Specifically, the frequency modulation demand power parameter comprises a rated frequency; the step of determining the response rotor speed according to the real-time frequency and the frequency modulation demand power parameter comprises:
a substep S20741 of calculating a frequency difference value between the real-time frequency and the rated frequency and a differential value of the frequency difference value to time;
in practical applications, the required adjustment can be determined by two control loops based on the real-time frequency and the nominal frequencyThe power of (a), i.e. the frequency modulation required power; further determining a corresponding response rotor speed; two control loops can be referred to fig. 3. Wherein f is grid Is a real-time frequency; f. of ref Is the nominal frequency. First, the frequency difference (Δ f) between the real-time frequency and the rated frequency and the differential value of the frequency difference to time (i.e. FIG. 3) can be calculated
)。
Substep S20742, performing proportion adjustment based on the frequency difference value to generate a first frequency modulation demand subpower;
as shown in fig. 3, the first loop is to implement the frequency difference response by proportional control, which is a differential adjustment. Using the frequency difference between the real-time frequency and the rated frequency and a preset first ratio (i.e. K in FIG. 3) pf ). Determining a first frequency modulation demand sub-power
I.e. the required sub-power of the first frequency modulation
The calculation formula of (2) is as follows:
a substep S20743 of performing proportional adjustment based on the differential value to generate a second fm demand subpower;
as shown in fig. 3, the proportional adjustment control achieves a frequency change rate response based on the differential value (d Δ f/Δ t)); using said differential value and a preset first ratio (K) df ) Generating a second frequency modulation demand sub-power
I.e. the sub-power required by the second frequency modulation
The calculation formula of (2) is as follows:
substep S20744, determining the required frequency modulation power by combining the first required frequency modulation sub-power and the second required frequency modulation sub-power;
after the first frequency modulation required sub-power and the second frequency modulation required sub-power are obtained through calculation, combining the first frequency modulation required sub-power and the second frequency modulation required sub-power; specifically, the first frequency modulation required sub-power and the second frequency modulation required sub-power can be added with symbols; and obtaining a calculation result which is the frequency modulation required power.
And a substep S20745, determining the response rotor speed according to the frequency modulation required power.
And converting the frequency modulation required power into a response rotor rotating speed according to a conversion formula of the power and the rotating speed.
And a substep S2075 of combining the initial rotor speed and the response rotor speed to obtain a frequency modulation rotor speed and controlling the rotor speed of the wind turbine generator by adopting the frequency modulation rotor speed.
Increasing the response rotating speed on the basis of the initial rotating speed of the rotor to obtain the rotating speed of the frequency modulation rotor; and the rotating speed of the frequency modulation rotor is adopted as a target value to control the rotor of the wind turbine generator so as to control the rotating speed of the rotor of the wind turbine generator.
208, adjusting the power distribution of the wind turbine generator and the energy storage subsystem according to the frequency modulation power distribution strategy pareto optimal demodulation;
determining a distribution strategy of the frequency modulation power to the wind turbine generator and the energy storage subsystem according to the pareto optimal solution of the frequency modulation power distribution strategy; and adjusting the power distribution of the wind turbine generator and the energy storage subsystem.
In an optional embodiment of the present invention, the pareto optimal solution of the frequency modulation power distribution strategy includes a wind turbine generator regulation limit; the step of adjusting the power distribution of the wind turbine generator and the energy storage subsystem according to the frequency modulation power distribution strategy pareto optimal demodulation may include the following substeps:
substep S2081, when the frequency modulation required power is greater than zero, controlling the wind turbine generator set to downwards adjust the output power and controlling the energy storage subsystem to be in a charging state;
when the frequency modulation required power is larger than zero, namely the current output frequency is higher than the rated frequency, the energy storage subsystem is required to absorb certain active power, the wind turbine generator reduces the output power to participate in frequency downward adjustment, the output power of the wind turbine generator can be reduced by adjusting the rotating speed and the pitch angle of the wind turbine generator, and meanwhile, the energy storage can be in a charging state to absorb certain power.
And a substep S2082, when the frequency modulation required power is less than zero, controlling the wind turbine generator set to adjust the output power based on the wind turbine generator set adjustment limit value and controlling the energy storage subsystem to be in a discharge state.
When the frequency modulation required power is smaller than zero, namely the detected output frequency is lower than the rated frequency, the wind storage system is required to provide certain active power, and the wind turbine generator increases the output power to participate in the upward frequency adjustment. At the moment, the rotating speed and the pitch angle of the wind power assembly are preferentially controlled, the load reduction standby energy is released, and the energy storage subsystem is in a discharging state after the output of the wind power unit reaches the regulation limit value of the wind power unit, namely the regulation capacity reaches the limit; to provide output power.
and controlling output voltages of the wind turbine generator and the energy storage subsystem to be regulated according to the pareto optimal solution of the wind storage combined voltage regulation control, and ensuring that the voltage of a grid-connected point of the wind storage combined system or the terminal bus of a transmission line of the wind storage combined system is in a reasonable range.
In an optional embodiment of the present invention, the wind storage joint voltage regulation control pareto optimal solution includes a reference voltage, and the step of controlling the output voltages of the wind turbine generator and the energy storage subsystem according to the wind storage joint voltage regulation control pareto optimal solution may include the following sub-steps:
in the substep S2091, it is determined whether the output voltage of the wind turbine generator can reach a voltage value corresponding to the reference voltage;
in practical application, the pareto optimal solution for wind storage combined voltage regulation control comprises a reference voltage corresponding to a voltage of a grid-connected point or a bus at the tail end of a sending-out line. Wherein:
the voltage drop longitudinal component is:
wherein, U is a voltage value after the drop; p is power, R impedance, Q is power capacity, and X is voltage drop lateral component.
Whereas in high voltage networks, R < X, so: equation 5 can be simplified as:
the reference voltage of the bus voltage at the tail end of the line is U 2ref Then, there are:
wherein Q is ref Is a reference voltage power capability; k is a constant.
To drop voltage U 2 Adjusted to U 2ref It is necessary to control Q to be Q ref . At this time:
wherein Q C Is the compensated capacity.
In the substep S2092, when the output voltage of the wind turbine generator can reach the voltage value corresponding to the reference voltage, controlling the output voltage of the wind turbine generator based on the voltage value corresponding to the reference voltage;
detecting output voltage, and when the output voltage of the wind turbine generator can reach a voltage value corresponding to the reference voltage, only controlling the output voltage of the wind turbine generator to reach the voltage value corresponding to the reference voltage; at the moment, the output voltage of the wind turbine generator is controlled based on the voltage value corresponding to the reference voltage as the target value.
And in the substep S2093, when the output voltage of the wind turbine cannot reach the voltage value corresponding to the reference voltage, jointly controlling the output voltages of the wind turbine and the energy storage subsystem based on the voltage value corresponding to the reference voltage.
When the output voltage of the wind turbine generator cannot reach the voltage value corresponding to the reference voltage, the output voltages of the wind turbine generator and the energy storage subsystem need to be controlled to reach the voltage value corresponding to the reference voltage; at the moment, the output voltage of the wind turbine generator and the output voltage of the energy storage subsystem are jointly controlled based on the voltage value corresponding to the reference voltage as a target value, so that the output voltage of the wind and energy storage combined system can reach the reference voltage.
In addition, when the voltage changes, the specific distribution condition of the voltage regulation requirement and the voltage regulation power requirement of the wind turbine generator can be further met. Considering reactive power of reactive power distribution of a double-fed wind turbine generator and reactive power of a grid-side converter, in order to reduce consumption of the converter, the wind turbine generator firstly uses fixed-side reactive power for an energy storage subsystem, the voltage regulation capability of a fan set is utilized as far as possible during voltage regulation, and when the wind turbine generator cannot complete a voltage regulation task, the energy storage is used for performing a voltage regulation and voltage rate distribution strategy.
It should be noted that the order of the three types of control is not limited, and the three types of control do not set priorities, and at least one of the three types of control can be controlled in real time according to the working conditions during the control. It should be noted that, in the practical application process, the three types of regulation may also be set with priorities according to the operation conditions of the wind power generation and storage combined system, and the three types of regulation are correspondingly regulated according to the priorities.
after the wind turbine generator and the energy storage subsystem are actually processed through the three types of regulation, the real-time operation parameters of the wind turbine generator and the energy storage subsystem, namely current operation data, can be obtained. Inputting the current operation data serving as input data into the time delay prediction model; and solving the current operation data based on the formula 1 through a time delay prediction model to output the operation fault rate.
By way of example, current operating data includes:
the probability of abnormal transition of normal voltage/electric frequency in the current time period is (0.6, 0.4);
the normal probability of voltage/electric frequency abnormal transition in the current time period is [ 0.3, 0.7 ].
The operation data at the previous moment comprises:
the abnormal probability of the normal conversion of the voltage/electric frequency in the upper period is (0.3, 0.7);
forming a Markov transition probability matrix by the data to solve the formula 1, and calculating to obtain
The abnormal probability of the normal rotation of the voltage/electric frequency in the following period: 0.3x0.6+0.3x0.7=0.39;
the abnormal voltage/electric frequency normal probability in the following time period: 0.3x0.4+0.7x0.7=0.61.
receiving the operation fault rate output by the time delay prediction model after the operation fault rate; and the operation failure rate can be judged to determine whether the wind storage combined system can continuously and stably operate after the wind turbine generator and the energy storage subsystem are regulated and controlled.
And 212, when the operation fault rate is higher than a preset fault threshold value, adjusting the wind turbine generator and the energy storage subsystem.
When the operation failure rate is higher than the preset failure threshold value, the probability that the wind storage combined system fails during the continuous operation period after the wind turbine generator and the energy storage subsystem are regulated is higher. Therefore, the wind turbine generator and the energy storage subsystem can be adjusted again through the method, and the operation failure rate of the wind and energy storage combined system during operation is reduced; so that the wind-storage combined system can continuously and stably operate. The fault threshold may be determined according to the output requirement of the wind storage system, which is not limited in the embodiment of the present invention.
According to the embodiment of the invention, historical logs are controlled to a preset classification model through wind storage combined frequency modulation; dividing the wind storage combined frequency modulation control log into a wind storage combined frequency modulation control, a wind storage combined voltage regulation control pareto and a frequency modulation power distribution strategy, and acquiring a corresponding wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution; and possible hidden classification is found, and simultaneously, the data belonging to a plurality of classifications is subjected to value unification, so that accurate control is facilitated. The method is characterized in that a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined pressure regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution are subjected to refined control, the frequency modulation and pressure regulation means of the wind generation set are organically combined with an energy storage subsystem, the defects of the wind generation set in the aspects of response speed, capacity reliability and the like are overcome by using the response speed and capacity ratio advantages of the energy storage subsystem, the inertial response and frequency regulation capacity of the wind storage combined system under the full working condition of wind power generation can be realized, and the overall technical economy of the wind storage combined system is improved. And data acquisition and analysis are carried out on the real-time parameters of the wind storage combined pressure regulating control and the wind storage combined frequency modulation control in the control process. And inputting the time delay prediction model constructed by the sampling Markov chain, and predicting real-time parameters of wind storage combined voltage regulation control and wind storage combined frequency modulation control so as to ensure the fault probability, thereby ensuring the healthy operation of the renewable power generation system.
In order that those skilled in the art may better understand the embodiments of the present invention, the following description is given by way of example only:
referring to fig. 4, a flowchart illustrating steps of an example of a wind storage combined system power generation control method according to the present invention is shown, and the wind storage combined system power generation control method includes:
the method comprises the following steps: the wind storage combined frequency modulation control steps are divided into three main optimal solutions through a wind storage combined frequency modulation control historical log and a classification model.
Acquiring a wind storage combined frequency modulation control history log; and inputting the wind storage combined frequency modulation control historical log into a classification model, and dividing the wind storage combined frequency modulation control step into three major optimal solutions (a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution) through the classification model.
Step two: and (4) carrying out refined control operation and data acquisition analysis on each classification (wind storage combined frequency modulation control, wind storage combined voltage regulation control and frequency modulation power distribution strategy) of the pareto optimal solution.
For wind storage combined frequency modulation control, the rotor speed of the wind turbine generator is controlled according to a wind storage combined frequency modulation control pareto optimal solution; which comprises the following steps: a wind turbine generator power standby strategy and a frequency modulation required power judgment strategy.
For wind storage combined voltage regulation control, the power distribution of the whole wind turbine generator set and the energy storage subsystem is optimally demodulated according to a frequency modulation power distribution strategy; which comprises the following steps: a voltage regulation demand power judgment strategy and a voltage regulation power distribution strategy.
And controlling the output voltage of the wind turbine generator and the energy storage subsystem according to the pareto optimal solution of wind storage combined voltage regulation control.
Step three: and (3) a prediction model is constructed by sampling a Markov chain, and the real-time parameters of the wind storage combined voltage regulation control and the wind storage combined frequency modulation control are predicted so as to obtain the probability of failure.
Acquiring current operation data of the wind turbine generator and the energy storage subsystem, inputting the current operation data into a time delay prediction model, and calculating an operation failure rate through the time delay prediction model; the probability of occurrence of a fault is characterized by operating the fault table.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 5, a block diagram of a power generation control device of a wind storage combined system according to an embodiment of the present invention is shown, where the wind storage combined system includes a wind turbine generator and an energy storage subsystem, and the power generation control device of the wind storage combined system may specifically include the following modules:
the first obtaining module 501 is configured to obtain a wind storage combined frequency modulation control history log;
a classification module 502, configured to input the wind storage combined frequency modulation control history log into a preset classification model, where the preset classification model is used to perform classification solution on the wind storage combined frequency modulation control history log, and output a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution, and a frequency modulation power distribution strategy pareto optimal solution;
a first receiving module 503, configured to receive the wind storage joint frequency modulation control pareto optimal solution, the wind storage joint voltage regulation control pareto optimal solution, and the frequency modulation power distribution strategy pareto optimal solution;
the first control module 504 is used for controlling the rotor speed of the wind turbine generator according to the wind storage combined frequency modulation control pareto optimal solution;
the second control module 505 is configured to optimally demodulate and adjust the power distribution between the wind turbine generator and the energy storage subsystem according to the frequency modulation power distribution strategy pareto;
and the third control module 506 is configured to control the output voltages of the wind turbine generator and the energy storage subsystem according to the pareto optimal solution of the wind storage combined voltage regulation control.
In an optional embodiment of the invention, the apparatus further comprises:
the second receiving module is used for receiving historical operating data of the wind turbine generator and the energy storage subsystem;
the Markov chain construction module is used for constructing a Markov chain based on the historical operating data;
and the time delay prediction model generation module is used for sampling the Markov chain and generating a time delay prediction model, and the time delay prediction model is used for calculating the operation failure rate.
In an optional embodiment of the invention, the apparatus further comprises:
the second acquisition module is used for acquiring current operation data of the wind turbine generator and the energy storage subsystem and inputting the current operation data into the time delay prediction model;
the third receiving module is used for receiving the operation failure rate output by the time delay prediction model;
and the adjusting module is used for adjusting the wind turbine generator and the energy storage subsystem when the operation fault rate is higher than a preset fault threshold value.
In an optional embodiment of the invention, the wind storage combined frequency modulation control pareto optimal solution comprises a wind turbine generator power standby parameter and a frequency modulation required power parameter; the first control module 504 includes:
the wind turbine generator standby power determining submodule is used for determining the wind turbine generator standby power according to the wind turbine generator power standby parameter;
the initial control submodule is used for determining an initial rotor rotating speed corresponding to the standby power of the wind turbine generator and controlling the rotor rotating speed of the wind turbine generator by adopting the initial rotor rotating speed;
the real-time frequency acquisition submodule is used for acquiring the real-time frequency of the wind storage combined system when detecting that the output frequency of the wind storage combined system changes;
the response rotor rotating speed determining submodule is used for determining the response rotor rotating speed according to the real-time frequency and the frequency modulation required power parameter;
and the first combining submodule is used for combining the initial rotor rotating speed and the response rotor rotating speed to obtain a frequency modulation rotor rotating speed, and the frequency modulation rotor rotating speed is adopted to control the rotor rotating speed of the wind turbine generator.
In an optional embodiment of the invention, the frequency modulation demand power parameter comprises a rated frequency; the response rotor speed determination submodule includes:
the calculating unit is used for calculating a frequency difference value between the real-time frequency and the rated frequency and a differential value of the frequency difference value to time;
the first adjusting unit is used for carrying out proportion adjustment based on the frequency difference value to generate first frequency modulation required sub-power;
the second adjusting unit is used for carrying out proportional adjustment on the basis of the differential value to generate second frequency modulation required sub-power;
a combination unit, configured to combine the first frequency modulation demand sub-power and the second frequency modulation demand sub-power to determine a frequency modulation demand power;
and the determining unit is used for determining the response rotor rotating speed according to the frequency modulation required power.
In an optional embodiment of the invention, the pareto optimal solution of the frequency modulation power distribution strategy comprises a wind turbine generator regulation limit value; the second control module 505:
the first control sub-module is used for controlling the wind turbine generator to downwards adjust the output power and controlling the energy storage sub-system to be in a charging state when the frequency modulation required power is larger than zero;
and the second control submodule is used for controlling the wind turbine generator to regulate the output power based on the wind turbine generator regulation limit value and controlling the energy storage subsystem to be in a discharge state when the frequency modulation required power is less than zero.
In an optional embodiment of the invention, the wind storage joint voltage regulation control pareto optimal solution includes a reference voltage, and the third control module 506:
the judgment submodule is used for judging whether the output voltage of the wind turbine generator can reach a voltage value corresponding to the reference voltage or not;
the third control unit is used for controlling the output voltage of the wind turbine generator based on the voltage value corresponding to the reference voltage when the output voltage of the wind turbine generator can reach the voltage value corresponding to the reference voltage;
and the fourth control unit is used for jointly controlling the output voltages of the wind turbine generator and the energy storage subsystem based on the voltage value corresponding to the reference voltage when the output voltage of the wind turbine generator cannot reach the voltage value corresponding to the reference voltage.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
An embodiment of the present invention further provides an electronic device, including:
a processor and a storage medium storing a computer program executable by the processor, the computer program being executable by the processor to perform a method according to any one of the embodiments of the invention when the electronic device is run. The specific implementation manner and technical effects are similar to those of the method embodiment, and are not described herein again.
The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the method according to any one of the embodiments of the present invention. The specific implementation manner and technical effects are similar to those of the method embodiment, and are not described herein again.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrases "comprising one of \ 8230; \8230;" does not exclude the presence of additional like elements in a process, method, article, or terminal device that comprises the element.
The wind-storage combined system power generation control method, the wind-storage combined system power generation control device, the electronic device and the storage medium provided by the invention are introduced in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the above embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A power generation control method of a wind storage combined system is characterized in that the wind storage combined system comprises a wind turbine generator and an energy storage subsystem, and the method comprises the following steps:
acquiring a wind storage combined frequency modulation control historical log;
inputting the wind storage combined frequency modulation control historical log into a preset classification model, wherein the preset classification model is used for carrying out classification solution on the wind storage combined frequency modulation control historical log, outputting a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution;
receiving the wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution;
controlling the rotor speed of the wind turbine generator according to the pareto optimal solution of the wind storage combined frequency modulation control;
adjusting the power distribution of the wind turbine generator and the energy storage subsystem according to the frequency modulation power distribution strategy pareto optimal demodulation;
and controlling the output voltages of the wind turbine generator and the energy storage subsystem according to the pareto optimal solution of the wind storage combined voltage regulation control.
2. The method of claim 1, further comprising:
receiving historical operating data of the wind turbine generator and the energy storage subsystem;
constructing a Markov chain based on the historical operating data;
and sampling the Markov chain to generate a time delay prediction model, wherein the time delay prediction model is used for calculating the operation failure rate.
3. The method of claim 1, further comprising:
acquiring current operation data of the wind turbine generator and the energy storage subsystem, and inputting the current operation data into the time delay prediction model;
receiving the operation failure rate output by the time delay prediction model;
and when the operation fault rate is higher than a preset fault threshold value, adjusting the wind turbine generator and the energy storage subsystem.
4. The method according to claim 1, wherein the wind storage combined frequency modulation control pareto optimal solution comprises a wind turbine generator power reserve parameter and a frequency modulation demand power parameter; the step of controlling the rotor speed of the wind turbine generator according to the pareto optimal solution of the wind storage combined frequency modulation control comprises the following steps:
determining the standby power of the wind turbine generator according to the standby power parameter of the wind turbine generator;
determining an initial rotor rotating speed corresponding to the standby power of the wind turbine generator, and controlling the rotor rotating speed of the wind turbine generator by adopting the initial rotor rotating speed;
when the output frequency change of the wind storage combined system is detected, acquiring the real-time frequency of the wind storage combined system;
determining the rotating speed of a response rotor according to the real-time frequency and the frequency modulation required power parameter;
and combining the initial rotor rotating speed and the response rotor rotating speed to obtain a frequency modulation rotor rotating speed, and controlling the rotor rotating speed of the wind turbine generator by adopting the frequency modulation rotor rotating speed.
5. The method of claim 4, wherein the frequency modulated demand power parameter comprises a nominal frequency; the step of determining the response rotor speed according to the real-time frequency and the frequency modulation demand power parameter comprises:
calculating a frequency difference value between the real-time frequency and the rated frequency and a differential value of the frequency difference value to time;
carrying out proportion adjustment based on the frequency difference value to generate first frequency modulation required sub-power;
carrying out proportional adjustment based on the differential value to generate second frequency modulation demand sub-power;
determining the required frequency modulation power by combining the first required frequency modulation sub-power and the second required frequency modulation sub-power;
and determining the response rotor rotating speed according to the frequency modulation required power.
6. The method of claim 5, wherein the frequency modulated power distribution strategy pareto optimal solution comprises a wind turbine regulation limit; the step of adjusting the power distribution of the wind turbine generator and the energy storage subsystem according to the pareto optimal demodulation of the frequency modulation power distribution strategy comprises the following steps:
when the frequency modulation required power is larger than zero, controlling the wind turbine generator set to downwards adjust the output power and controlling the energy storage subsystem to be in a charging state;
and when the frequency modulation required power is less than zero, controlling the wind turbine generator set to adjust the output power based on the wind turbine generator set adjustment limit value and controlling the energy storage subsystem to be in a discharge state.
7. The method of claim 1, wherein the wind-storage joint voltage regulation control pareto optimal solution comprises a reference voltage, and the step of controlling the output voltages of the wind turbine generator and the energy storage subsystem according to the wind-storage joint voltage regulation control pareto optimal solution comprises:
judging whether the output voltage of the wind turbine generator can reach a voltage value corresponding to the reference voltage;
when the output voltage of the wind turbine generator can reach the voltage value corresponding to the reference voltage, controlling the output voltage of the wind turbine generator based on the voltage value corresponding to the reference voltage;
and when the output voltage of the wind turbine generator cannot reach the voltage value corresponding to the reference voltage, jointly controlling the output voltages of the wind turbine generator and the energy storage subsystem based on the voltage value corresponding to the reference voltage.
8. The utility model provides a wind stores up combined system power generation controlling means which characterized in that, wind stores up combined system and includes wind turbine generator system and energy storage subsystem, the device includes:
the first acquisition module is used for acquiring a wind storage combined frequency modulation control historical log;
the classification module is used for inputting the wind storage combined frequency modulation control history log into a preset classification model, and the preset classification model is used for performing classification solution on the wind storage combined frequency modulation control history log, outputting a wind storage combined frequency modulation control pareto optimal solution, a wind storage combined voltage regulation control pareto optimal solution and a frequency modulation power distribution strategy pareto optimal solution;
the first receiving module is used for receiving the wind storage combined frequency modulation control pareto optimal solution, the wind storage combined voltage regulation control pareto optimal solution and the frequency modulation power distribution strategy pareto optimal solution;
the first control module is used for controlling the rotor speed of the wind turbine generator according to the wind storage combined frequency modulation control pareto optimal solution;
the second control module is used for optimally demodulating and adjusting the power distribution of the wind turbine generator and the energy storage subsystem according to the frequency modulation power distribution strategy;
and the third control module is used for controlling the output voltages of the wind turbine generator and the energy storage subsystem according to the wind storage combined voltage regulation control pareto optimal solution.
9. An electronic device, comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the cogeneration system power generation control method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the wind-storage combined system power generation control method according to any one of claims 1 to 7.
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