Wind power frequency control signal management method and system based on data communication

Abstract

The invention relates to the technical field of wind power plant communication data exchange networks, and discloses a wind power frequency control signal management method and system based on data communication, and the system comprises a wind power frequency control communication parameter acquisition module, a wind power frequency control communication parameter processing module, and a wind power frequency control communication execution module. Frequency modulation active power parameters corresponding to different wind turbine generator power generation frequency deviations are accurately stored, and frequency modulation active power intelligent matching required by different frequency deviations of the wind turbine generator is carried out by combining an intelligent search algorithm and the wind turbine generator power generation frequency deviation parameters, so that frequency modulation active power intelligent matching of the wind turbine generator of the wind power plant is realized. Adopting an intelligent identification algorithm to accurately screen out a maximum transmission time length parameter of wind turbine generator communication; frequency modulation action waiting time length parameters of different wind turbine generators in the wind power plant are accurately measured, synchronous frequency modulation control over the wind turbine generators with abnormal power generation frequencies in the wind power plant is achieved, and the control precision of wind power generation frequency modulation communication signals is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind farm communication data exchange networks, and in particular to a wind power frequency control signal management method and system based on data communication. Background Art

[0002] Wind farm frequency regulation refers to the rapid adjustment of frequency deviation when the power system frequency deviates from the rated value. The wind farm frequency regulation system is crucial to ensuring the safe and stable operation of the power grid. The wind farm frequency regulation system can, to a certain extent, ensure that wind turbines are connected to the power grid in a safer, better quality and more economical way, thereby achieving the optimal allocation of electric energy resources and the safe and stable operation of the power grid. The implementation of wind farm frequency regulation relies on primary frequency regulation technology, which is a technology that quickly restores the stability of the system frequency by adjusting the active power of the power supply when the frequency of the power system changes. Its basic principle is to use the frequency regulation characteristics of the power supply unit to automatically adjust the active power output of the unit according to the deviation of the system frequency, so as to achieve the purpose of maintaining the stability of the system frequency. To this end, the reliability and security of the Internet of Things communication network operation must be guaranteed for the frequency regulation process of wind farms; the existing wind farm frequency regulation process is affected by factors such as the spatial distance between the wind power management center and each wind turbine, the operating status of the wind turbine's communication equipment, and the geographical environment. As a result, the frequency regulation communication signal of the wind power management center cannot synchronously reach the wind turbine with abnormal power generation frequency, resulting in the inability of wind turbines with abnormal power generation frequency to achieve synchronous and accurate frequency regulation, which reduces the communication control accuracy of the wind farm Internet of Things communication network and reduces the operating stability of the wind power generation system.

[0003] The Chinese invention patent with the announcement number CN110995562B discloses a distributed wind farm wireless networking system, which generates a first message by setting a wind farm controller to obtain the wind power operation data of the wind turbine, and encrypts and transmits the first message to the control terminal using a wind turbine router, a control side VPN device, and IPSECVPN; the control terminal is used to verify the legitimacy of the first message, and if it passes, it receives the first message and sends a control instruction to the wind farm controller in an encrypted manner through the control side VPN device, the wind turbine router, and IPSECVPN. The security of communication between the wind farm controller and the control terminal in a distributed wind farm is improved; however, the above technical solution cannot realize the synchronous and efficient control of the operating status of the wind turbines in the wind farm by wireless communication in the wind farm, which reduces the quality of wind farm communication. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In order to solve the problem that the above-mentioned existing wind farm frequency regulation process is affected by the spatial distance between the wind power management center and each wind turbine, the operating status of the wind turbine's communication equipment, the geographical environment and other factors, resulting in the frequency regulation communication signal of the wind power management center cannot synchronously reach the wind turbine with abnormal power generation frequency, resulting in the wind turbine with abnormal power generation frequency unable to achieve synchronous and accurate frequency regulation, reducing the communication control accuracy of the wind farm Internet of Things communication network, and reducing the operating stability of the wind power generation system. The above purpose is to accurately collect the communication transmission time length of the wind turbine and the real-time power generation frequency of the wind turbine, accurately identify the abnormal power generation frequency status of the wind turbine, scientifically measure the power generation frequency deviation of the wind turbine, intelligently match the frequency regulation active power parameters of the wind turbine, scientifically measure the maximum value of the communication transmission time length of the wind turbine and the communication transmission waiting time length of the wind turbine, and realize the synchronous and accurate frequency regulation of the wind turbine.

[0006] (II) Technical solution

[0007] The present invention is implemented by the following technical solution: a wind power frequency control signal management method based on data communication, the method comprising the following steps:

[0008] S1. Execute the wind turbine communication frequency modulation simulation operation according to the wind turbine communication frequency modulation simulation instruction data, and simultaneously collect the wind turbine communication transmission time length data and the wind turbine real-time power generation frequency data;

[0009] S2, based on the real-time power generation frequency data of the wind turbine set and the standard power generation frequency data of the wind turbine set, perform power generation frequency status analysis processing on the wind turbine set, generate real-time power generation frequency status analysis data of the wind turbine set, and search for real-time frequency parameters corresponding to the abnormal power generation frequency status in combination with the real-time power generation frequency data of the wind turbine set, and construct real-time abnormal power generation frequency data of the wind turbine set;

[0010] S3, performing numerical measurement processing on abnormal power generation frequency deviation of the wind turbine generator set according to abnormal power generation frequency and standard frequency parameters of the wind turbine generator set, and generating power generation frequency deviation data of the wind turbine generator set;

[0011] S4, performing identification processing on the frequency modulation active power parameters required for different frequency deviations of the wind turbine generator set according to the wind turbine generator set power generation frequency deviation data and the frequency modulation active power data corresponding to the different wind turbine generator set power generation frequency deviations, and generating the frequency modulation active power data of the wind turbine generator set;

[0012] S5, performing a maximum value search process on the wind turbine group communication transmission time length data of the wind turbine group frequency modulation communication transmission time length to generate the wind turbine group communication maximum transmission time length data;

[0013] S6, based on the communication transmission time length and maximum communication transmission time length parameters of the wind turbine set, perform wind turbine set frequency modulation action control time length measurement processing to generate wind turbine set communication transmission waiting time length data;

[0014] S7. Construct wind power frequency regulation communication control data and execute wind power frequency regulation communication operations.

[0015] Preferably, the steps of performing the wind turbine communication frequency modulation simulation operation according to the wind turbine communication frequency modulation simulation instruction data and synchronously collecting the wind turbine communication transmission time length data and the wind turbine real-time power generation frequency data are as follows:

[0016] S11, establishing wind turbine communication frequency modulation simulation instruction data J, wherein the wind turbine communication frequency modulation simulation instruction data represents instruction data used by the wind power management center to simulate and measure the length of communication transmission time required for each wind turbine in the wind farm to receive the wind power frequency modulation control instruction;

[0017] S12, the wind power management center performs a wind turbine communication frequency modulation simulation operation on each wind turbine in the wind farm according to the wind turbine communication frequency modulation simulation instruction data J;

[0018] S13, during the execution of the wind turbine communication frequency modulation simulation operation, synchronously collect the communication transmission time length parameters required for the wind turbine to receive the wind power frequency modulation control command through the Internet of Things communication gateway, and generate the wind turbine communication transmission time length data set A = (a1, ..., a k ,…,a μ ), k = 1, 2, 3, ..., μ; where a k represents the wind turbine communication transmission time length data corresponding to the kth wind turbine, μ represents the maximum number of wind turbines, a k The unit is microseconds;

[0019] The frequency meter is used to measure the frequency parameters of the generator set online and generate the real-time frequency data set of the wind turbine set B = (b1, ..., b k ,…,b μ ), where b k represents the real-time power generation frequency data of the wind turbine corresponding to the kth wind turbine, b k The unit is Hertz.

[0020] The present invention achieves the effect of realizing scientific simulation of real-time communication transmission time of wind turbines and providing reliable data support for scientific analysis of frequency modulation active power parameters of wind turbines in wind farms and synchronous frequency modulation operation control time parameters by scientifically executing wind turbine communication frequency modulation simulation operations based on preset wind turbine communication frequency modulation simulation instruction parameters and using an Internet of Things communication gateway and a frequency meter to accurately collect wind turbine communication transmission time length parameters and real-time power generation frequency parameters.

[0021] Preferably, the wind turbine generator set power generation frequency state analysis and processing are performed based on the wind turbine generator set real-time power generation frequency data and the wind turbine generator set power generation standard frequency data, the wind turbine generator set real-time power generation frequency state analysis data is generated, and the real-time frequency parameters corresponding to the power generation frequency abnormal state are searched in combination with the wind turbine generator set real-time power generation frequency data, and the operation steps of constructing the wind turbine generator set real-time power generation abnormal frequency data are as follows:

[0022] S21, establishing standard frequency data S for power generation of wind turbines, wherein the standard frequency data for power generation of wind turbines represents power generation frequency data of wind turbines in a wind farm under normal power generation state, and the unit of S is Hertz;

[0023] S22, the wind turbine real-time power generation frequency data b in the wind turbine real-time power generation frequency data set B k The power generation frequency value is compared with the standard power generation frequency data S of the wind turbine generator set, and a wind turbine generator set real-time power generation frequency state analysis data set B'=(b'1, ..., b' k ,…,b' μ ), where b' k Represents the real-time power generation frequency status analysis data of the wind turbine corresponding to the k-th wind turbine;

[0024] When b k Equal to S, indicating that the power generation frequency of the wind turbine meets the standard power generation frequency, then the real-time power generation frequency status analysis data b' of the wind turbine is output. k is normal;

[0025] When b k If it is not equal to S, it means that the power generation frequency of the wind turbine does not meet the standard power generation frequency, then the real-time power generation frequency status analysis data b' of the wind turbine is output. k is abnormal;

[0026] S23, using the KD tree nearest neighbor search algorithm, the wind turbine real-time power generation frequency data set B is searched for the wind turbine real-time power generation frequency state analysis data set B' according to the wind turbine real-time power generation frequency state analysis result keywords and the wind turbine number. kThe real-time power generation frequency data b of the wind turbine corresponding to the abnormality k , and construct a real-time abnormal frequency data set of wind turbine generation through data identification in represents the real-time abnormal power generation frequency data of the wind turbine corresponding to the k1th wind turbine, represents the real-time abnormal power generation frequency data of the wind turbine corresponding to the k2-th wind turbine; and The unit is Hertz.

[0027] The present invention achieves the effect of accurately identifying and searching the real-time power generation frequency status and the real-time abnormal power generation frequency of the wind turbines in the wind farm by scientifically evaluating the power generation frequency status of the wind turbines and accurately searching for the real-time abnormal power generation frequency parameters of the wind turbines with abnormal power generation frequency.

[0028] Preferably, the steps of performing numerical measurement processing of abnormal power generation frequency deviation of the wind turbine set based on the abnormal power generation frequency and standard frequency parameters of the wind turbine set to generate power generation frequency deviation data of the wind turbine set are as follows:

[0029] S31, the wind turbine real-time power generation abnormal frequency data set B" to The frequency difference between the wind turbine generator set and the standard frequency data S is processed in order to generate a frequency deviation data set of the wind turbine generator set. in represents the wind turbine generation frequency deviation data corresponding to the k1th wind turbine, represents the wind turbine generation frequency deviation data corresponding to the k2th wind turbine, in and The units are all Hertz, and the wind turbine generation frequency deviation data includes positive wind turbine generation frequency deviation data and negative wind turbine generation frequency deviation data; the positive wind turbine generation frequency deviation data indicates that the real-time abnormal power generation frequency data of the wind turbine is greater than the standard power generation frequency data S of the wind turbine group, and the negative wind turbine generation frequency deviation data indicates that the real-time abnormal power generation frequency data of the wind turbine group is less than the standard power generation frequency data S of the wind turbine group.

[0030] The present invention achieves the effect of accurately counting the abnormal power generation frequency deviation of the wind turbines in the wind farm by autonomously and efficiently performing numerical processing on the abnormal power generation frequency deviation of the wind turbines based on the abnormal power generation frequency and standard frequency parameters of the wind turbines.

[0031] Preferably, the steps of identifying the frequency modulation active power parameters required for different frequency deviations of the wind turbine are performed according to the wind turbine generation frequency deviation data and the frequency modulation active power data corresponding to different wind turbine generation frequency deviations, and generating the wind turbine generation frequency modulation active power data are as follows:

[0032] S41, establish the frequency modulation active power data set D corresponding to the frequency deviation of different wind turbines = (d1,…,d o ,…,d ν ), o=1,2,3,…,ν; where d o Indicates o The frequency modulation active power data corresponding to the different wind turbine generation frequency deviations, o represents the maximum number of wind turbine generation frequency deviation types, d o The unit is kilowatt;

[0033] S42, using a depth-first search algorithm to search the wind turbine generator generation frequency deviation data set C for the wind turbine generator generation frequency deviation data set C. to The frequency modulation active power data set D corresponding to the frequency deviation of the different wind turbine generator sets is ordered. o According to the wind turbine generator set power generation frequency deviation value matching, search for the wind turbine generator set power generation frequency deviation data to The corresponding frequency modulation active power data d corresponding to the different wind turbine generation frequency deviations o And generate wind turbine generation frequency modulation active power data set through data identification in represents the wind turbine generation frequency modulation active power data corresponding to the k1th wind turbine, represents the wind turbine generation frequency modulation active power data corresponding to the k2th wind turbine; and The unit is kilowatt.

[0034] The present invention achieves the effect of intelligent matching of frequency modulation active power of wind turbines in wind farms by accurately storing frequency modulation active power parameters corresponding to different wind turbine generation frequency deviations and combining a depth-first search algorithm with the wind turbine generation frequency deviation parameters to perform intelligent matching of frequency modulation active power required by wind turbines with different frequency deviations.

[0035] Preferably, the wind turbine group communication transmission time length data is subjected to a maximum value search process for the transmission time length of the wind turbine group frequency modulation communication, and the operation steps for generating the maximum transmission time length data of the wind turbine group communication are as follows:

[0036] S51, when the wind turbine generator generation frequency modulation active power data set D' is generated, the wind turbine generator communication transmission time length data a in the wind turbine generator communication transmission time length data set A is k Perform time length numerical analysis to search for the wind turbine group communication transmission time length data a with the largest value. k And generate the maximum transmission time length data of wind turbine communication through data identification Execute and generate the maximum transmission time length data of wind turbine communication The steps are as follows:

[0037] S511, initialization, update the service demand object to search for the number of pigeon populations N and the maximum number of iterations T;

[0038] S512, stage one, the number of iterations in the range [0, t1] is stage one, where t1 = σ × T, σ represents a random number in the interval (0.5, 0.9), firstly, it is necessary to search for the position of the pigeon in the search space of the wind turbine communication transmission time length data set A according to the communication time to search for the wind turbine communication transmission time length data a with the largest value. k The goal is to calculate the speed of the communication time search pigeon in the search space of the wind turbine communication transmission time length data set A. The current position of the communication time search pigeon in the search space of the wind turbine communication transmission time length data set A plus the speed will get the new position of the communication time search pigeon in the search space of the community life service demand object data set A. The calculation formula for the communication time search pigeon speed is as follows: in It represents the new speed of the communication time search pigeon i in the j-dimensional space, that is, the new speed of the communication time search pigeon i in the search space of the wind turbine communication transmission time length data set A with dimension μ; represents the original speed of the communication time search pigeon i in the j-dimensional space, that is, the original speed of the communication time search pigeon i in the search space of the wind turbine communication transmission time length data set A with dimension μ; is a constant with a value of 0.2, t represents the current iteration number of the algorithm, The exponent representing the base e is The power function, rand represents a random number in the interval [0,1]. It represents the best position of the communication time search pigeon in the j-dimensional space, that is, the communication time search pigeon searches for the wind turbine communication transmission time length data set A with dimension μ in the search space for the wind turbine communication transmission time length data set A with the largest value. k The best location; It represents the original position of the communication time search pigeon i in the j-dimensional space, that is, the communication time search pigeon i searches for the wind turbine communication transmission time length data set A with a dimension of μ to find the wind turbine communication transmission time length data a with the largest value. k The original position of the pigeon; the calculation formula for searching the new position of the pigeon during communication time is as follows: in = represents the new position of the communication time search pigeon i in the j-dimensional space, that is, the communication time search pigeon i searches for the wind turbine communication transmission time length data set A with a dimension of μ to find the wind turbine communication transmission time length data a with the largest value. k new location;

[0039] S513, stage 2, the number of iterations within the range of [t1, T] is stage 2, firstly, the communication time search pigeon group needs to be sorted in the search space of the wind turbine communication transmission time length data set A, and the communication time search pigeon group is evenly divided into two groups, and the communication time search pigeon searched out the wind turbine communication transmission time length data a k The communication transmission time length data a with the wind turbine with the largest value k The communication time search pigeon group with the largest fitness value keeps its position unchanged, and provides its position in the search space of the wind turbine communication transmission time length data set A, and assists the communication time search pigeons to search out the wind turbine communication transmission time length data a k The communication transmission time length data a with the wind turbine with the largest value k The group of communication time search pigeons with a small fitness value determines their new position in the search space of the wind turbine communication transmission time length data set A. The calculation formula for the new position of the group of communication time search pigeons with a small fitness value is as follows: in It represents the new position of the communication time search pigeon i with a small fitness value in the j-dimensional space in the second stage, that is, the communication time search pigeon i with a small fitness value searches for the wind turbine communication transmission time length data set A with a dimension of μ in the second stage to find the wind turbine communication transmission time length data a with the largest value. k new location; It represents the centroid position of the group of communication time search pigeons with a large fitness value in the j-dimensional space, that is, the centroid position of the group of communication time search pigeons with a large fitness value in the search space of the wind turbine communication transmission time length data set A with a dimension of μ;

[0040] S514: When the algorithm meets the maximum number of iterations, output the wind turbine group communication transmission time length data a with the largest value. k ;

[0041] S515: The wind turbine group communication transmission time length data a output in step S514 k Generate the maximum transmission time length data of wind turbine communication through data identification The unit is microseconds.

[0042] The present invention uses a pigeon flock optimization algorithm to accurately screen out the maximum transmission time length parameter of wind turbine communication, thereby achieving the effect of providing data support for realizing synchronous frequency modulation of wind farm generator sets.

[0043] Preferably, the steps of measuring the wind turbine frequency modulation action control time length based on the communication transmission time length and the maximum communication transmission time length parameters of the wind turbine are as follows to generate the wind turbine communication transmission waiting time length data:

[0044] S61, the maximum transmission time length data of the wind turbine group communication The wind turbine group communication transmission time length data set A is sequentially communicated with the wind turbine group according to the wind turbine group number, and the wind turbine group communication transmission time length data a is in k Perform differential numerical measurement processing to generate a data set of the length of the wind turbine communication transmission waiting time E = (e1, ..., e k ,…,e μ ), e k Indicates the wind turbine communication transmission waiting time length data corresponding to the k-th wind turbine, e k The unit is microseconds, and the wind turbine communication transmission waiting time length data represents the waiting time length data issued by the wind power management center when the wind power management center starts to execute the wind power frequency regulation communication operation for the wind turbine with abnormal power generation frequency in the wind farm.

[0045] The present invention achieves the effect of synchronous frequency regulation control of wind turbines with abnormal power generation frequencies in the wind farm by accurately measuring the waiting time length parameters of frequency regulation actions of different wind turbines in the wind farm.

[0046] Preferably, the steps of constructing wind power frequency modulation communication control data and executing wind power frequency modulation communication operations are as follows:

[0047] S71, combining the wind turbine generator set power generation frequency modulation active power data set D' and the wind turbine generator set communication transmission waiting time length data set E to construct wind power frequency modulation communication control data F, where F = (D', E);

[0048] S72: The wind power management center calculates the wind power generation frequency modulation active power data corresponding to the wind power generation frequency modulation active power data set D' in the wind power frequency modulation communication control data F. to Combined with the wind turbine group communication transmission waiting time length data set E and the wind turbine group power generation frequency modulation active power data to The corresponding wind turbine group communication transmission waiting time length data performs wind power frequency modulation communication operations on the wind turbine groups in order according to the wind turbine group numbers.

[0049] The present invention scientifically constructs wind power frequency modulation communication control parameters based on the wind turbine generator set power generation frequency modulation active power parameters and the communication transmission waiting time length parameters, and efficiently and accurately executes wind power frequency modulation communication operations, thereby achieving the effect of accurately constructing wind power generation frequency modulation communication control parameters and improving the control efficiency and anti-interference ability of wind power generation frequency modulation communication signals.

[0050] A wind power frequency control signal management system based on data communication, used to implement a wind power frequency control signal management method based on data communication, the system comprises a wind power frequency control communication parameter acquisition module, a wind power frequency control communication parameter processing module, and a wind power frequency control communication execution module;

[0051] The wind power frequency control communication parameter acquisition module includes a wind turbine communication frequency modulation simulation instruction storage unit, a wind turbine communication frequency modulation simulation execution unit, a wind turbine communication transmission time length acquisition unit, and a wind turbine real-time power generation frequency acquisition unit;

[0052] The wind turbine communication frequency modulation simulation instruction storage unit is used to store wind turbine communication frequency modulation simulation instruction data; the wind turbine communication frequency modulation simulation execution unit executes wind turbine communication frequency modulation simulation operations according to wind turbine communication frequency modulation simulation instruction data; the wind turbine communication transmission time length acquisition unit acquires wind turbine communication transmission time length data through an Internet of Things communication gateway; the wind turbine real-time power generation frequency acquisition unit acquires wind turbine real-time power generation frequency data through a frequency meter;

[0053] The wind power frequency control communication parameter processing module includes a wind turbine generator set power generation standard frequency value storage unit, a wind turbine generator set power generation frequency state analysis unit, a wind turbine generator set power generation abnormal frequency search unit, a wind turbine generator set power generation abnormal frequency deviation measurement unit, a frequency modulation active power storage unit corresponding to different wind turbine generator set power generation frequency deviations, a wind turbine generator set power generation frequency modulation active power identification unit, a wind turbine generator set communication transmission time length extreme value search unit, and a wind turbine generator set communication transmission waiting time length generation unit;

[0054] The wind turbine generator set standard frequency value storage unit is used to store the wind turbine generator set standard frequency data; the wind turbine generator set frequency state analysis unit performs frequency state analysis of the wind turbine generator set based on the wind turbine generator set real-time frequency data and the wind turbine generator set standard frequency data, and generates the wind turbine generator set real-time frequency state analysis data; the wind turbine generator set abnormal frequency search unit searches for the real-time frequency parameters corresponding to the abnormal frequency state according to the wind turbine generator set real-time frequency state analysis data and the wind turbine generator set real-time frequency data, and constructs the wind turbine generator set real-time abnormal frequency data; the wind turbine generator set abnormal frequency deviation measurement unit performs abnormal frequency deviation numerical measurement according to the wind turbine generator set abnormal frequency and standard frequency parameters, and generates the wind turbine generator set frequency deviation data; the frequency modulation active power corresponding to the different wind turbine generator set frequency deviations A storage unit is used to store frequency modulation active power data corresponding to different wind turbine generation frequency deviations; the wind turbine generation frequency modulation active power identification unit performs frequency modulation active power parameter identification processing required for different frequency deviations of the wind turbine according to the wind turbine generation frequency deviation data and the frequency modulation active power data corresponding to different wind turbine generation frequency deviations, and generates the wind turbine generation frequency modulation active power data; the wind turbine communication transmission time length extreme value search unit performs a maximum value search processing of the wind turbine communication transmission time length data for the wind turbine communication transmission time length, and generates the wind turbine communication maximum transmission time length data; the wind turbine communication transmission waiting time length generation unit performs a wind turbine frequency modulation action control time length measurement processing based on the wind turbine communication transmission time length and maximum communication transmission time length parameters, and generates the wind turbine communication transmission waiting time length data;

[0055] The wind power frequency control communication execution module includes a wind power frequency modulation communication control parameter generation unit and a wind power frequency modulation communication control operation execution unit;

[0056] The wind power frequency modulation communication control parameter generating unit is used to construct wind power frequency modulation communication control data; the wind power frequency modulation communication control operation executing unit executes the wind power frequency modulation communication operation according to the wind power frequency modulation communication control data.

[0057] (III) Beneficial effects

[0058] The present invention provides a wind power frequency control signal management method and system based on data communication, which has the following beneficial effects:

[0059] 1. Scientifically execute the wind turbine communication and frequency modulation simulation operation based on the preset wind turbine communication and frequency modulation simulation instruction parameters to achieve scientific simulation of the real-time communication transmission time of the wind turbine; accurately collect the wind turbine communication transmission time length parameters and real-time power generation frequency parameters through the Internet of Things communication gateway and frequency meter, so as to provide reliable data support for the scientific analysis of the wind farm wind turbine frequency modulation active power parameters and synchronous frequency modulation operation control time parameters, and improve the authenticity of the wind power generation frequency modulation communication signal generation results.

[0060] 2. Through scientific evaluation of the power generation frequency status of wind turbines and accurate search of the real-time abnormal power generation frequency parameters of wind turbines with abnormal power generation frequency, accurate identification and search of the real-time power generation frequency status and real-time abnormal power generation frequency of wind turbines in wind farms can be achieved; autonomous and efficient numerical processing of abnormal power generation frequency deviations of wind turbines based on abnormal power generation frequency and standard frequency parameters of wind turbines can be performed to accurately count the abnormal power generation frequency deviations of wind turbines in wind farms; accurate storage of frequency modulation active power parameters corresponding to power generation frequency deviations of different wind turbines combined with intelligent search algorithms and wind turbine power generation frequency deviation parameters can be achieved. It realizes intelligent matching of the frequency modulation active power required for different frequency deviations of wind turbines, realizes intelligent matching of the frequency modulation active power of wind turbines in wind farms, and improves the accuracy of wind power generation frequency modulation parameter control; uses intelligent recognition algorithm to accurately screen out the maximum transmission time length parameters of wind turbine communication, and provides data support for the synchronous frequency modulation of wind farm generators; accurately measures the waiting time length parameters of frequency modulation actions of different wind turbines in the wind farm, and realizes the synchronous frequency modulation control of wind turbines with abnormal power generation frequencies in the wind farm, which improves the control accuracy of wind power generation frequency modulation communication signals and improves the safety and stability of wind power generation systems.

[0061] 3. By scientifically constructing the wind power frequency modulation communication control parameters based on the wind turbine generator set's power generation frequency modulation active power parameters and the communication transmission waiting time length parameters, the wind power generation frequency modulation communication control parameters can be accurately constructed; based on the wind power frequency modulation communication control parameters, the wind power generation frequency modulation communication operations are efficiently and accurately performed, which improves the wind power generation frequency modulation communication signal control efficiency and anti-interference ability, and improves the operation reliability and service life of the wind power generation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 A module schematic diagram of a wind power frequency control signal management system based on data communication provided by the present invention;

[0063] Figure 2 A flow chart of a wind power frequency control signal management method based on data communication provided by the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] The embodiments of the wind power frequency control signal management method and system based on data communication are as follows:

[0066] Embodiment 1:

[0067] See also Figure 1 - Figure 2 , a wind power frequency control signal management method based on data communication, the method comprising the following steps:

[0068] S1. Execute the wind turbine communication frequency modulation simulation operation according to the wind turbine communication frequency modulation simulation instruction data, and simultaneously collect the wind turbine communication transmission time length data and the wind turbine real-time power generation frequency data;

[0069] S2. Analyze and process the power generation frequency status of the wind turbine set based on the real-time power generation frequency data of the wind turbine set and the standard power generation frequency data of the wind turbine set, generate the real-time power generation frequency status analysis data of the wind turbine set, and search for the real-time frequency parameters corresponding to the abnormal power generation frequency status in combination with the real-time power generation frequency data of the wind turbine set, and construct the real-time abnormal power generation frequency data of the wind turbine set;

[0070] S3, performing numerical measurement processing on abnormal power generation frequency deviation of the wind turbine generator set according to abnormal power generation frequency and standard frequency parameters of the wind turbine generator set, and generating power generation frequency deviation data of the wind turbine generator set;

[0071] S4, performing frequency modulation active power parameter identification processing required for different frequency deviations of wind turbines according to the wind turbine generation frequency deviation data and the frequency modulation active power data corresponding to different wind turbine generation frequency deviations, and generating the wind turbine generation frequency modulation active power data;

[0072] S5, performing a maximum value search process on the wind turbine group communication transmission time length data of the wind turbine group frequency modulation communication transmission time length to generate the wind turbine group communication maximum transmission time length data;

[0073] S6, based on the communication transmission time length and maximum communication transmission time length parameters of the wind turbine set, perform wind turbine set frequency modulation action control time length measurement processing to generate wind turbine set communication transmission waiting time length data;

[0074] S7. Construct wind power frequency regulation communication control data and execute wind power frequency regulation communication operations.

[0075] For further information, see Figure 1 - Figure 2 The steps for executing the wind turbine communication frequency modulation simulation operation according to the wind turbine communication frequency modulation simulation instruction data and synchronously collecting the wind turbine communication transmission time length data and the wind turbine real-time power generation frequency data are as follows:

[0076] S11, establishing wind turbine communication frequency modulation simulation instruction data J, where the wind turbine communication frequency modulation simulation instruction data represents instruction data used by the wind power management center to simulate and measure the length of communication transmission time required for each wind turbine in the wind farm to receive the wind power frequency modulation control instruction;

[0077] S12, the wind power management center performs wind turbine communication frequency modulation simulation operations on each wind turbine in the wind farm according to the wind turbine communication frequency modulation simulation instruction data J;

[0078] S13, during the execution of the wind turbine communication frequency modulation simulation operation, synchronously collect the communication transmission time length parameters required for the wind turbine to receive the wind power frequency modulation control command through the Internet of Things communication gateway, and generate the wind turbine communication transmission time length data set A = (a1, ..., a k ,…,a μ ), k = 1, 2, 3, ..., μ; where a k represents the wind turbine communication transmission time length data corresponding to the kth wind turbine, μ represents the maximum number of wind turbines, a k The unit is microseconds;

[0079] The frequency meter is used to measure the frequency parameters of the generator set online and generate the real-time frequency data set of the wind turbine set B = (b1, ..., b k ,…,b μ ), where b k represents the real-time power generation frequency data of the wind turbine corresponding to the kth wind turbine, b k The unit is Hertz.

[0080] Through the cooperation between the wind turbine communication and frequency modulation simulation instruction storage unit and the wind turbine communication and frequency modulation simulation execution unit, the wind turbine communication and frequency modulation simulation operation is scientifically executed based on the preset wind turbine communication and frequency modulation simulation instruction parameters, so as to realize the scientific simulation of the real-time communication transmission time of the wind turbine; the wind turbine communication transmission time length acquisition unit and the wind turbine real-time power generation frequency acquisition unit accurately collect the wind turbine communication transmission time length parameters and the real-time power generation frequency parameters through the Internet of Things communication gateway and the frequency meter, so as to provide reliable data support for the scientific analysis of the wind farm wind turbine frequency modulation active power parameters and the synchronous frequency modulation operation control time parameters, thereby improving the authenticity of the wind power generation frequency modulation communication signal generation results.

[0081] For further information, see Figure 1-Figure 2 Based on the real-time power generation frequency data of the wind turbine and the standard power generation frequency data of the wind turbine, the power generation frequency state of the wind turbine is analyzed and processed, and the real-time power generation frequency state analysis data of the wind turbine is generated. In combination with the real-time power generation frequency data of the wind turbine, the real-time frequency parameters corresponding to the abnormal power generation frequency state are searched, and the operation steps for constructing the real-time abnormal power generation frequency data of the wind turbine are as follows:

[0082] S21. Establish standard frequency data S for wind turbine generator generation. The standard frequency data for wind turbine generator generation represents the frequency data of wind turbine generators in a wind farm under normal power generation conditions. The unit of S is Hertz.

[0083] S22, the real-time power generation frequency data b of the wind turbine group in the real-time power generation frequency data set B k The power generation frequency value is compared with the standard power generation frequency data S of the wind turbine, and the real-time power generation frequency state analysis data set B' of the wind turbine is generated according to the power generation frequency value comparison result. k ,…,b' μ ), where b' k Represents the real-time power generation frequency status analysis data of the wind turbine corresponding to the k-th wind turbine;

[0084] When b k Equal to S, indicating that the power generation frequency of the wind turbine meets the standard power generation frequency, then the real-time power generation frequency status analysis data b' of the wind turbine is output. k is normal;

[0085] When b k If it is not equal to S, it means that the power generation frequency of the wind turbine does not meet the standard power generation frequency, then the real-time power generation frequency status analysis data b' of the wind turbine is output. k is abnormal;

[0086] S23, using the KD tree nearest neighbor search algorithm, the wind turbine real-time power generation frequency data set B is searched for the wind turbine real-time power generation frequency state analysis data set B' according to the wind turbine real-time power generation frequency state analysis result keywords and the wind turbine number, and the wind turbine real-time power generation frequency state analysis data set B' is obtained. k b is the real-time power generation frequency data of the wind turbine corresponding to the abnormality k , and construct a real-time abnormal frequency data set of wind turbine generation through data identification in represents the real-time abnormal power generation frequency data of the wind turbine corresponding to the k1th wind turbine, represents the real-time abnormal power generation frequency data of the wind turbine corresponding to the k2-th wind turbine; and The unit is Hertz.

[0087] The abnormal frequency and standard frequency parameters of the wind turbine generator set are used to perform numerical measurement processing on the abnormal frequency deviation of the wind turbine generator set. The steps for generating the frequency deviation data of the wind turbine generator set are as follows:

[0088] S31, the wind turbine real-time power generation abnormal frequency data set B" wind turbine real-time power generation abnormal frequency data to The frequency value of the wind turbine generator set is measured and processed in order to generate a frequency deviation data set of the wind turbine generator set. in represents the wind turbine generation frequency deviation data corresponding to the k1th wind turbine, represents the wind turbine generation frequency deviation data corresponding to the k2th wind turbine, in and The unit is Hertz. The wind turbine generation frequency deviation data includes positive wind turbine generation frequency deviation data and negative wind turbine generation frequency deviation data. The positive wind turbine generation frequency deviation data indicates that the real-time abnormal power generation frequency data of the wind turbine is greater than the standard power generation frequency data S of the wind turbine. The negative wind turbine generation frequency deviation data indicates that the real-time abnormal power generation frequency data of the wind turbine is less than the standard power generation frequency data S of the wind turbine.

[0089] According to the wind turbine generation frequency deviation data and the frequency modulation active power data corresponding to different wind turbine generation frequency deviations, the frequency modulation active power parameters required for different frequency deviations of the wind turbine are identified and processed, and the operation steps for generating the wind turbine generation frequency modulation active power data are as follows:

[0090] S41, establish the frequency modulation active power data set D corresponding to the frequency deviation of different wind turbines = (d1,…,d o ,…,d ν ), o=1,2,3,…,ν; where d o represents the frequency modulation active power data corresponding to the different wind turbine generation frequency deviations corresponding to the o-th wind turbine generation frequency deviation, o represents the maximum number of wind turbine generation frequency deviation types, d o The unit is kilowatt;

[0091] S42, using a depth-first search algorithm to search the wind turbine generation frequency deviation data set C for the wind turbine generation frequency deviation data set C. to Ordered frequency modulation active power data set D corresponding to the frequency deviation of different wind turbines. Frequency modulation active power data d corresponding to the frequency deviation of different wind turbines.o According to the wind turbine generation frequency deviation value matching, search for the wind turbine generation frequency deviation data to The corresponding frequency modulation active power data d of different wind turbine generation frequency deviations o And generate wind turbine generation frequency modulation active power data set through data identification in represents the wind turbine generation frequency modulation active power data corresponding to the k1th wind turbine, represents the wind turbine generation frequency modulation active power data corresponding to the k2th wind turbine; and The unit is kilowatt.

[0092] The operation steps of performing a maximum value search process on the wind turbine group communication transmission time length data of the wind turbine group frequency modulation communication transmission time length to generate the wind turbine group communication maximum transmission time length data are as follows:

[0093] S51, when the wind turbine group power generation frequency modulation active power data set D' is generated, the wind turbine group communication transmission time length data set A is used to calculate the wind turbine group communication transmission time length data a k Perform time length numerical analysis and search for the wind turbine communication transmission time length data with the largest value a k And generate the maximum transmission time length data of wind turbine communication through data identification Execute and generate the maximum transmission time length data of wind turbine communication The steps are as follows:

[0094] S511, initialization, update the service demand object to search for the number of pigeon populations N and the maximum number of iterations T;

[0095] S512, stage 1, the number of iterations in the range [0, t1] is stage 1, where t1 = σ × T, σ represents a random number in the interval (0.5, 0.9). First, it is necessary to search for the position of the pigeon in the search space of the wind turbine communication transmission time length data set A according to the communication time to search for the wind turbine communication transmission time length data a with the largest value. k The goal is to calculate the speed of the communication time search pigeon in the search space of the wind turbine communication transmission time length data set A. The current position of the communication time search pigeon in the search space of the wind turbine communication transmission time length data set A plus the speed will get the new position of the communication time search pigeon in the search space of the community life service demand object data set A. The calculation formula for the communication time search pigeon speed is as follows: in It represents the new speed of the communication time search pigeon i in the j-dimensional space, that is, the new speed of the communication time search pigeon i in the search space of the wind turbine communication transmission time length data set A with dimension μ; represents the original speed of the communication time search pigeon i in the j-dimensional space, that is, the original speed of the communication time search pigeon i in the search space of the wind turbine communication transmission time length data set A with dimension μ; is a constant with a value of 0.2, t represents the current iteration number of the algorithm, The exponent representing the base e is The power function, rand represents a random number in the interval [0,1]. It represents the best position of the communication time search pigeon in the j-dimensional space, that is, the communication time search pigeon searches for the wind turbine communication transmission time length data set A with dimension μ in the search space with the largest value. k The best location; It represents the original position of the communication time search pigeon i in the j-dimensional space, that is, the communication time search pigeon i searches for the wind turbine communication transmission time length data a with the largest value in the wind turbine communication transmission time length data set A with dimension μ. k The original position of the pigeon; the calculation formula for searching the new position of the pigeon during communication time is as follows: in It represents the new position of the communication time search pigeon i in the j-dimensional space, that is, the communication time search pigeon i searches for the wind turbine communication transmission time length data set A with dimension μ to find the wind turbine communication transmission time length data a with the largest value. k new location;

[0096] S513, stage 2, the number of iterations within the range of [t1, T] is stage 2, firstly, the communication time search pigeon group needs to be sorted in the search space of the wind turbine communication transmission time length data set A, and the communication time search pigeon group is divided into two groups. The wind turbine communication transmission time length data a searched by the communication time search pigeon k The communication transmission time length data a with the largest wind turbine k The communication time search pigeon group with the largest fitness value keeps its position unchanged, and provides its position in the search space of the wind turbine communication transmission time length data set A, to assist the communication time search pigeons in searching the wind turbine communication transmission time length data a k The communication transmission time length data a with the largest wind turbine kThe group of communication time search pigeons with a small fitness value determines their new position in the search space of the wind turbine communication transmission time length data set A. The calculation formula for the new position of the group of communication time search pigeons with a small fitness value is as follows: in It represents the new position of the communication time search pigeon i with a small fitness value in the j-dimensional space in the second stage, that is, the communication time search pigeon i with a small fitness value searches for the wind turbine communication transmission time length data set A with a dimension of μ in the second stage to find the wind turbine communication transmission time length data a with the largest value. k new location; It represents the centroid position of the group of communication time search pigeons with a large fitness value in the j-dimensional space, that is, the centroid position of the group of communication time search pigeons with a large fitness value in the search space of the wind turbine communication transmission time length data set A with a dimension of μ;

[0097] S514. When the algorithm meets the maximum number of iterations, the wind turbine group communication transmission time length data a with the largest value is output. k ;

[0098] S515: The wind turbine group communication transmission time length data a output in step S514 is k Generate the maximum transmission time length data of wind turbine communication through data identification The unit is microseconds.

[0099] Based on the communication transmission time length and maximum communication transmission time length parameters of the wind turbine set, the wind turbine set frequency modulation action control time length measurement processing is performed to generate the wind turbine set communication transmission waiting time length data as follows:

[0100] S61, the maximum transmission time length data of the wind turbine communication The wind turbine group communication transmission time length data set A is ordered according to the wind turbine group number. k Perform differential numerical measurement processing to generate a data set of the length of the wind turbine communication transmission waiting time E = (e1, ..., e k ,…,e μ ), e k Indicates the wind turbine communication transmission waiting time length data corresponding to the k-th wind turbine, e k The unit is microseconds. The wind turbine communication transmission waiting time length data represents the waiting time length data of the frequency modulation communication command issued by the wind power management center when the wind power management center starts to execute the wind power frequency modulation communication operation for the wind turbine with abnormal power generation frequency in the wind farm.

[0101] The wind turbine generator set's standard frequency value storage unit, the wind turbine generator set's frequency state analysis unit, and the wind turbine generator set's abnormal frequency search unit cooperate with each other to scientifically evaluate the wind turbine generator set's frequency state and accurately search for the wind turbine generator set's real-time abnormal frequency state and real-time abnormal frequency of wind turbine generator set with abnormal frequency, thereby accurately identifying and searching for the wind turbine generator set's real-time frequency state and abnormal frequency of wind turbine generator set in the wind farm; the wind turbine generator set abnormal frequency deviation measurement unit performs autonomous and efficient numerical processing of the wind turbine generator set's abnormal frequency deviation based on the wind turbine generator set's abnormal frequency and standard frequency parameters, thereby accurately counting the abnormal frequency deviation of wind turbine generator set in the wind farm; the frequency modulation active power storage unit corresponding to different wind turbine generator set's frequency modulation active power recognition unit cooperates with each other to accurately store the frequency modulation active power of different wind turbine generator sets. The frequency regulation active power parameters corresponding to the frequency deviation are combined with the intelligent search algorithm and the wind turbine generation frequency deviation parameters to intelligently match the frequency regulation active power required by the wind turbines with different frequency deviations, thereby realizing intelligent matching of the frequency regulation active power of the wind turbines in the wind farm, and improving the control accuracy of the wind power generation frequency regulation parameters; the wind turbine communication transmission time length extreme value search unit uses an intelligent recognition algorithm to accurately screen out the maximum transmission time length parameters of the wind turbine communication, and provide data support for the realization of synchronous frequency regulation of the wind farm generator sets; the wind turbine communication transmission waiting time length generation unit accurately measures the waiting time length parameters of the frequency regulation actions of different wind turbines in the wind farm, and realizes the synchronous frequency regulation control of the wind turbines with abnormal power generation frequencies in the wind farm, thereby improving the control accuracy of the wind power generation frequency regulation communication signal and improving the safety and stability of the wind power generation system.

[0102] For further information, see Figure 1 - Figure 2 The steps to construct wind power frequency regulation communication control data and perform wind power frequency regulation communication operations are as follows:

[0103] S71, combining the wind turbine generator frequency modulation active power data set D' and the wind turbine generator communication transmission waiting time length data set E to construct wind power frequency modulation communication control data F, where F = (D', E);

[0104] S72, the wind power management center calculates the wind power generation frequency modulation active power data corresponding to the wind power generation frequency modulation active power data set D' in the wind power frequency modulation communication control data F. to Combined with the wind turbine communication transmission waiting time length data set E and the wind turbine generation frequency modulation active power data to The corresponding wind turbine communication transmission waiting time length data is used to perform wind power frequency modulation communication operations on the wind turbines in order according to the wind turbine numbers.

[0105] Through the wind power frequency modulation communication control parameter generation unit, the wind power frequency modulation communication control parameters are scientifically constructed based on the wind turbine generation frequency modulation active power parameters and the communication transmission waiting time length parameters, so as to achieve accurate construction of wind power generation frequency modulation communication control parameters; the wind power frequency modulation communication control operation execution unit efficiently and accurately executes wind power generation frequency modulation communication operations based on the wind power frequency modulation communication control parameters, thereby improving the control efficiency and anti-interference ability of wind power generation frequency modulation communication signals, and improving the operation reliability and service life of the wind power generation system.

[0106] Embodiment 2:

[0107] See also Figure 1 - Figure 2 , a wind power frequency control signal management system based on data communication, a wind power frequency control signal management method based on data communication, the system includes a wind power frequency control communication parameter acquisition module, a wind power frequency control communication parameter processing module, and a wind power frequency control communication execution module;

[0108] The wind power frequency control communication parameter acquisition module includes a wind turbine communication frequency modulation simulation instruction storage unit, a wind turbine communication frequency modulation simulation execution unit, a wind turbine communication transmission time length acquisition unit, and a wind turbine real-time power generation frequency acquisition unit;

[0109] A wind turbine communication frequency modulation simulation instruction storage unit is used to store wind turbine communication frequency modulation simulation instruction data; a wind turbine communication frequency modulation simulation execution unit executes wind turbine communication frequency modulation simulation operations according to wind turbine communication frequency modulation simulation instruction data; a wind turbine communication transmission time length acquisition unit acquires wind turbine communication transmission time length data through an Internet of Things communication gateway; a wind turbine real-time power generation frequency acquisition unit acquires wind turbine real-time power generation frequency data through a frequency meter;

[0110] The wind power frequency control communication parameter processing module includes a wind turbine generator set power generation standard frequency value storage unit, a wind turbine generator set power generation frequency state analysis unit, a wind turbine generator set power generation abnormal frequency search unit, a wind turbine generator set power generation abnormal frequency deviation measurement unit, a frequency modulation active power storage unit corresponding to different wind turbine generator set power generation frequency deviations, a wind turbine generator set power generation frequency modulation active power identification unit, a wind turbine generator set communication transmission time length extreme value search unit, and a wind turbine generator set communication transmission waiting time length generation unit;

[0111] The wind turbine generator set standard frequency value storage unit is used to store the wind turbine generator set standard frequency data; the wind turbine generator set frequency state analysis unit performs frequency state analysis of the wind turbine generator set based on the real-time frequency data of the wind turbine generator set and the standard frequency data of the wind turbine generator set to generate the real-time frequency state analysis data of the wind turbine generator set; the wind turbine generator set abnormal frequency search unit searches for the real-time frequency parameters corresponding to the abnormal frequency state based on the real-time frequency state analysis data of the wind turbine generator set and the real-time frequency data of the wind turbine generator set to construct the real-time abnormal frequency data of the wind turbine generator set; the wind turbine generator set abnormal frequency deviation measurement unit performs abnormal frequency deviation numerical measurement based on the abnormal frequency and standard frequency parameters of the wind turbine generator set to generate the frequency deviation data of the wind turbine generator set; the frequency modulation active power storage unit corresponding to the frequency deviation of different wind turbine generator sets Element, used to store frequency modulation active power data corresponding to different wind turbine generation frequency deviations; wind turbine generation frequency modulation active power identification unit, which performs frequency modulation active power parameter identification processing required for different frequency deviations of wind turbines according to the wind turbine generation frequency deviation data and the frequency modulation active power data corresponding to different wind turbine generation frequency deviations, and generates wind turbine generation frequency modulation active power data; wind turbine communication transmission time length extreme value search unit, which performs maximum value search processing of the transmission time length of wind turbine frequency modulation communication on the wind turbine communication transmission time length data, and generates wind turbine communication maximum transmission time length data; wind turbine communication transmission waiting time length generation unit, which performs wind turbine frequency modulation action control time length measurement processing based on the wind turbine communication transmission time length and maximum communication transmission time length parameters, and generates wind turbine communication transmission waiting time length data;

[0112] The wind power frequency control communication execution module includes a wind power frequency modulation communication control parameter generation unit and a wind power frequency modulation communication control operation execution unit;

[0113] The wind power frequency modulation communication control parameter generating unit is used to construct the wind power frequency modulation communication control data; the wind power frequency modulation communication control operation executing unit executes the wind power frequency modulation communication operation according to the wind power frequency modulation communication control data.

[0114] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A wind power frequency control signal management method based on data communication, characterized in that: The method comprises the following steps: S1. Execute the wind turbine communication frequency modulation simulation operation according to the wind turbine communication frequency modulation simulation instruction data, and simultaneously collect the wind turbine communication transmission time length data and the wind turbine real-time power generation frequency data; S2, based on the real-time power generation frequency data of the wind turbine set and the standard power generation frequency data of the wind turbine set, perform power generation frequency status analysis processing on the wind turbine set, generate real-time power generation frequency status analysis data of the wind turbine set, and search for real-time frequency parameters corresponding to the abnormal power generation frequency status in combination with the real-time power generation frequency data of the wind turbine set, and construct real-time abnormal power generation frequency data of the wind turbine set; S3, performing numerical measurement processing on abnormal power generation frequency deviation of the wind turbine generator set according to abnormal power generation frequency and standard frequency parameters of the wind turbine generator set, and generating power generation frequency deviation data of the wind turbine generator set; S4, performing identification processing on the frequency modulation active power parameters required for different frequency deviations of the wind turbine generator set according to the wind turbine generator set power generation frequency deviation data and the frequency modulation active power data corresponding to the different wind turbine generator set power generation frequency deviations, and generating the frequency modulation active power data of the wind turbine generator set; S5, performing a maximum value search process on the wind turbine group communication transmission time length data of the wind turbine group frequency modulation communication transmission time length to generate the wind turbine group communication maximum transmission time length data; S6, based on the communication transmission time length and maximum communication transmission time length parameters of the wind turbine set, perform wind turbine set frequency modulation action control time length measurement processing to generate wind turbine set communication transmission waiting time length data; S7. Construct wind power frequency regulation communication control data and execute wind power frequency regulation communication operations.

2. A wind power frequency control signal management method based on data communication according to claim 1, characterized in that: The S1 comprises the following steps: S11, establishing wind turbine communication frequency modulation simulation instruction data J; S12, the wind power management center performs a wind turbine communication frequency modulation simulation operation on each wind turbine in the wind farm according to the wind turbine communication frequency modulation simulation instruction data J; S13, during the execution of the wind turbine communication frequency modulation simulation operation, synchronously collect the communication transmission time length parameters required for the wind turbine to receive the wind power frequency modulation control command through the Internet of Things communication gateway, and generate the wind turbine communication transmission time length data set A = (a1, ..., a k ,…,a μ ), k = 1, 2, 3, ..., μ; where a k represents the wind turbine communication transmission time length data corresponding to the kth wind turbine, μ represents the maximum number of wind turbines, a k The unit is microseconds; The frequency meter is used to measure the frequency parameters of the generator set online and generate the real-time frequency data set of the wind turbine set B = (b1, ..., b k ,…,b μ ), where b k represents the real-time power generation frequency data of the wind turbine corresponding to the kth wind turbine, b k The unit is Hertz.

3. A wind power frequency control signal management method based on data communication according to claim 2, characterized in that: The S2 comprises the following steps: S21. Establish standard frequency data S of wind turbine generator system, where the unit of S is Hertz; S22, the b in B k The power generation frequency value is compared with the S, and the wind turbine real-time power generation frequency state analysis data set B'=(b'1, ..., b' k ,…,b' μ ), where b' k Represents the real-time power generation frequency status analysis data of the wind turbine corresponding to the k-th wind turbine; When b k If it is equal to S, the real-time power generation frequency state analysis data b' of the wind turbine is output. k is normal; When b k If it is not equal to S, the real-time power generation frequency state analysis data b' of the wind turbine will be output. k is abnormal; S23, using the KD tree nearest neighbor search algorithm, searching for the wind turbine real-time power generation frequency state analysis data b' in B according to the wind turbine real-time power generation frequency state analysis result keywords and wind turbine number in B' k The real-time power generation frequency data b of the wind turbine corresponding to the abnormality k , and construct a real-time abnormal frequency data set of wind turbine generation through data identification 1≤k1≤k≤k2≤μ; represents the real-time abnormal power generation frequency data of the wind turbine corresponding to the k1th wind turbine, represents the real-time abnormal power generation frequency data of the wind turbine corresponding to the k2-th wind turbine; and The unit is Hertz.

4. A wind power frequency control signal management method based on data communication according to claim 3, characterized in that: The S3 comprises the following steps: S31, the real-time abnormal frequency data of wind turbine generator set in B" to The power generation frequency value is measured in order with the S to generate a data set of wind turbine power generation frequency deviation. where c k1 represents the wind turbine generation frequency deviation data corresponding to the k1th wind turbine, represents the wind turbine generation frequency deviation data corresponding to the k2th wind turbine, in and The unit is Hertz.

5. A wind power frequency control signal management method based on data communication according to claim 4, characterized in that: The S4 comprises the following steps: S41, establish the frequency modulation active power data set D corresponding to the frequency deviation of different wind turbines = (d1,…,d o ,…,d ν ), o=1,2,3,…,ν; where d o represents the frequency modulation active power data corresponding to the different wind turbine generation frequency deviations corresponding to the o-th wind turbine generation frequency deviation, o represents the maximum number of wind turbine generation frequency deviation types, d o The unit is kilowatt; S42, using a depth-first search algorithm to search the wind turbine generation frequency deviation data in C to Orderly and the frequency modulation active power data d corresponding to the frequency deviation of the different wind turbines in D o According to the wind turbine generator set power generation frequency deviation value matching, search for the wind turbine generator set power generation frequency deviation data to The corresponding frequency modulation active power data d corresponding to the different wind turbine generation frequency deviations o And generate wind turbine generation frequency modulation active power data set through data identification in represents the wind turbine power generation and frequency modulation active power data corresponding to the k1th wind turbine, represents the wind turbine generation frequency modulation active power data corresponding to the k2th wind turbine; and The unit is kilowatt.

6. A wind power frequency control signal management method based on data communication according to claim 5, characterized in that: The S5 comprises the following steps: S51, when the generation of D' is completed, k Perform a numerical analysis of the time length and search for the a with the largest value k And generated by data identification Execute and generate the maximum transmission time length data of wind turbine communication The steps are as follows: S511, initialization, update the service demand object to search for the number of pigeon populations N and the maximum number of iterations T; S512, stage one, the number of iterations in the range [0, t1] is stage one, where t1 = σ × T, σ represents a random number in the interval (0.5, 0.9), firstly, it is necessary to search for the position of the pigeon in the search space of the wind turbine communication transmission time length data set A according to the communication time to search for the wind turbine communication transmission time length data a with the largest value. k Objective: Calculate the speed of the communication time search pigeon in the search space of the wind turbine communication transmission time length data set A. The current position of the communication time search pigeon in the search space of the wind turbine communication transmission time length data set A plus the speed will get the new position of the communication time search pigeon in the search space of the community life service demand object data set A. S513, stage 2, the number of iterations within the range of [t1, T] is stage 2, firstly, the communication time search pigeon group needs to be sorted in the search space of the wind turbine communication transmission time length data set A, and the communication time search pigeon group is evenly divided into two groups, and the communication time search pigeon searched out the wind turbine communication transmission time length data a k The communication transmission time length data a with the wind turbine with the largest value k The communication time search pigeon group with the largest fitness value keeps its position unchanged, and provides its position in the search space of the wind turbine communication transmission time length data set A, and assists the communication time search pigeons to search out the wind turbine communication transmission time length data a k The communication transmission time length data a with the wind turbine with the largest value k The communication time search pigeon group with the smaller fitness value determines their new position in the search space of the wind turbine communication transmission time length data set A; S514: When the algorithm meets the maximum number of iterations, output the communication transmission time length data a of the wind turbine group with the largest value. k ; S515: The wind turbine group communication transmission time length data a output in step S514 k Generate the maximum transmission time length data of wind turbine communication through data identification The unit is microseconds.

7. A wind power frequency control signal management method based on data communication according to claim 6, characterized in that: The S6 comprises the following steps: S61, the According to the wind turbine group number, it is in order and described in A k Perform differential numerical measurement processing to generate a data set of the length of the wind turbine communication transmission waiting time E = (e1, ..., e k ,…,e μ ), e k Indicates the wind turbine communication transmission waiting time length data corresponding to the k-th wind turbine, e k The unit is microseconds.

8. A wind power frequency control signal management method based on data communication according to claim 7, characterized in that: The S7 comprises the following steps: S71, combining the D' and the E to construct wind power frequency modulation communication control data F, where F = (D', E); S72, the wind power management center generates and modulates the active power data of the wind turbine generator set according to the D' in F. to Combined with the wind turbine generator set power generation frequency modulation active power data to The corresponding wind turbine group communication transmission waiting time length data performs wind power frequency modulation communication operations on the wind turbine groups in order according to the wind turbine group numbers.

9. A wind power frequency control signal management system based on data communication, used to implement a wind power frequency control signal management method based on data communication according to any one of claims 1 to 8, characterized in that: The system comprises a wind power frequency control communication parameter acquisition module, a wind power frequency control communication parameter processing module and a wind power frequency control communication execution module.

Images