New energy field station source load frequency modulation automatic control method and system

Abstract

The invention discloses a new energy station source load frequency modulation automatic control method and system, and relates to the field of power system analysis and control, and the method comprises the steps: analyzing the load data of a new energy station, and constructing a load cluster matrix; according to the constructed load cluster matrix, extracting source load data of continuous time points, and calculating source load time sequence cluster fluctuation data; calculating the frequency modulation power of the new energy station by using the total-station rated power of the new energy station, and further deducing the frequency modulation difference adjustment rate of the new energy station; and constructing a mode search matrix by using a mode search algorithm, searching the fluctuation points, updating the number of search times when a search output value is greater than an automatic control parameter, otherwise, ending optimization, and outputting an optimal control quantity. By introducing the mode search algorithm, the optimal solution in the given range can be quickly found, the operation efficiency is improved, and the output stability of the new energy station participating in the power grid frequency modulation is improved.

Description

Technical Field

[0001] The present invention relates to the field of power system analysis and control, and in particular to a new energy station source-load frequency automatic control method and system. Background Art

[0002] With the continuous growth of global energy demand and the enhancement of environmental protection awareness, traditional fossil energy is facing the dual pressure of resource depletion and environmental pollution. In order to achieve sustainable energy supply and reduce greenhouse gas emissions, governments of various countries have turned their attention to the field of new energy and promoted the transformation of energy structure to clean and low-carbon. As an important carrier for the development and utilization of new energy, the construction and development of new energy stations have become an important way to achieve the transformation of energy structure. With the continuous breakthroughs in new energy technologies and the emergence of scale effects, the cost of new energy power generation has continued to decline, and it has the ability to compete with traditional fossil energy. Especially in the fields of wind energy and solar energy, technological progress has continuously improved power generation efficiency and reduced costs, providing strong support for the large-scale construction and operation of new energy stations. In order to promote the development of the new energy industry, governments of various countries have introduced a series of preferential policies and subsidy measures to encourage the construction and operation of new energy projects. At the same time, with the increasing demand for clean energy in society, the market demand for new energy stations is also growing.

[0003] Under the background of rapid development of new energy power system, new energy stations are an important part of power production, and their frequency modulation control method has become one of the key technologies to ensure the safe and stable operation of the power grid. Since new energy such as wind power and solar energy are greatly affected by natural conditions, their output is significantly unstable and intermittent, which brings great challenges to the frequency modulation of the power grid. In traditional power grids, the randomness of loads is mainly balanced by peak regulation and frequency modulation on the power supply side. However, with the increasing proportion of new energy today, it is difficult to meet the stability requirements of the power grid by simply relying on the regulation on the power supply side. Therefore, the research on the automatic control method of source-load frequency modulation of new energy stations is particularly important. Summary of the invention

[0004] In view of the above existing problems, the present invention aims to solve the technical problems and technical difficulties of new energy stations in load data processing, source-load time series cluster fluctuation data calculation, frequency modulation power and frequency modulation difference rate derivation, fluctuation point search and optimal control quantity output. This method copes with the complexity and uncertainty of load data by constructing a load cluster matrix, calculates the source-load time series cluster fluctuation data using an accurate algorithm, and calculates the frequency modulation power and frequency modulation difference rate by considering multiple factors such as the rated power of the entire station and the frequency modulation frequency. Finally, an efficient pattern search algorithm and strategy are used to quickly search for fluctuation points and output the optimal control quantity to achieve automatic control of source-load frequency modulation.

[0005] In order to solve the above technical problems, a new energy station source-load frequency modulation automatic control method is proposed, including:

[0006] The load data of new energy stations are analyzed to construct a load cluster matrix. Based on the constructed load cluster matrix, the source-load data at continuous time points are extracted to calculate the source-load time series cluster fluctuation data. The frequency regulation power of the new energy station is calculated using the full station rated power of the new energy station, and the frequency regulation difference rate of the new energy station is derived. The pattern search algorithm is used to construct a pattern search matrix to search for fluctuation points, and when the search output value does not exceed the automatic control parameter, the optimal control value is output.

[0007] As a preferred solution of the automatic control method for source-load frequency modulation of a new energy station described in the present invention, wherein: the construction of the load cluster matrix includes analyzing the load data of the new energy station to construct the load cluster matrix;

[0008] The load data of new energy stations are analyzed by data preprocessing and data mining. The load cluster is taken as the research object. For a cluster composed of k loads, the load cluster matrix with a synchronous time series of t is constructed as follows:

[0009]

[0010] Among them, t k is the kth load group, t g,k Represents the time series matrix element with row g and column k.

[0011] As a preferred solution of the automatic control method for source-load frequency modulation of a new energy station described in the present invention, wherein: the extracting source-load data at continuous time points includes, according to the constructed load cluster matrix, extracting source-load data at continuous time points, and calculating source-load time series cluster fluctuation data;

[0012] According to the constructed load cluster matrix, the data of all source loads in the time series cluster at continuous time points are extracted as follows:

[0013]

[0014] Among them, x i is the source load data of the ith cluster, x i+1 It is the source load data of the i+1th cluster.

[0015] As a preferred solution of the automatic control method for source-load frequency modulation of a new energy station described in the present invention, wherein: the calculation of source-load time series cluster fluctuation data includes, the i-th source-load time series cluster fluctuation data is expressed as:

[0016] Δx i =x i+1 -x i=[t i+1,1 -t i,1 ,t i+1,2 -t i,2 ,…,t i+1,k -t i,k ]

[0017] Where Δx i is the cluster fluctuation data of the i-th source load time series.

[0018] As a preferred solution of the automatic control method for source-load frequency regulation of a new energy station described in the present invention, wherein: the calculation of the frequency regulation power of the new energy station includes calculating the frequency regulation power of the new energy station using the rated power of the whole station of the new energy station, and then deriving the frequency regulation difference rate of the new energy station;

[0019] The frequency modulation power of the new energy station is calculated using the rated power of the new energy station, which is expressed as:

[0020]

[0021] The frequency regulation difference rate of the new energy station is derived, and the frequency regulation power of the new energy station is changed to obtain:

[0022]

[0023] Among them, P is the frequency regulation power of the new energy station, P0 is the active power, P1 is the rated power of the whole station, η is the frequency regulation frequency, η0 is the dead zone boundary frequency, η1 is the rated frequency, and ε is the frequency regulation difference rate of the new energy station.

[0024] As a preferred solution of the automatic control method for source-load frequency modulation of a new energy station described in the present invention, wherein: the construction of the mode search matrix includes constructing the mode search matrix using a mode search algorithm, searching for fluctuation points, and when the search output value is greater than the automatic control parameter, updating the search times, otherwise ending the optimization and outputting the optimal control amount;

[0025] The pattern search algorithm is used to construct a pattern search matrix to search for fluctuation points. For the optimization problem involving m variables, each search point has a search direction on 2m. The constructed pattern search matrix is:

[0026]

[0027] Where E is the pattern search matrix, L i is the search step length.

[0028] As a preferred solution of the automatic control method for source-load frequency modulation of a new energy station described in the present invention, the construction mode search matrix also includes setting the search initial value to 1, and when the search number is greater than 2 times of the automatic control point, shortening the search step length, updating the search matrix, and obtaining the search solution as follows:

[0029]

[0030] in, is the optimal solution for the i-th search, x i is the solution found in the ith search, E i is the i-th search matrix;

[0031] When the search output value is greater than the automatic control parameter, the search times are updated. When the search output value does not exceed the automatic control parameter, the optimization is terminated and the optimal control amount is output.

[0032] Another object of the present invention is to provide a new energy station source-load frequency modulation automatic control system, which solves the problem of automatic frequency modulation control of the new energy station source-load to adapt to the frequency fluctuation demand of the power grid; improves the accuracy and response speed of frequency modulation control by constructing a load cluster matrix and analyzing the source-load time series cluster fluctuation data; optimizes the control strategy using a pattern search algorithm to ensure the stability and efficiency of the frequency modulation operation; reduces human intervention through automatic control methods, and improves the intelligence level and operational reliability of new energy stations.

[0033] As a preferred solution of the source-load frequency modulation automatic control system of a new energy station described in the present invention, it is characterized by comprising a data analysis and load cluster construction module, a source-load data extraction and fluctuation calculation module, a frequency modulation power and modulation rate calculation module, and a mode search and optimization control module;

[0034] The data analysis and load cluster building module receives the original load data, pre-processes and performs data mining on the load data of the new energy station, builds a load cluster matrix, and transmits the load cluster matrix to the source load data extraction and fluctuation calculation module;

[0035] The source-load data extraction and fluctuation calculation module receives the load cluster matrix, extracts the source-load data at consecutive time points according to the load cluster matrix, and calculates the source-load time series cluster fluctuation data and transmits it to the frequency modulation power and modulation rate calculation module;

[0036] The frequency modulation power and modulation rate calculation module receives the full station rated power data, calculates the frequency modulation power using the full station rated power of the new energy station, and derives the frequency modulation modulation rate to pass to the mode search and optimization control module;

[0037] The pattern search and optimization control module receives source load time series cluster fluctuation data and automatic control parameters, constructs a pattern search matrix using a pattern search algorithm, searches for fluctuation points, and outputs an optimal control amount.

[0038] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the automatic control method of source-load frequency modulation of a new energy station are implemented.

[0039] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the automatic control method for source-load frequency modulation of a new energy station are implemented.

[0040] Beneficial effects of the invention: The invention proposes an automatic control method for source-load frequency modulation of a new energy station. By constructing a load cluster matrix, extracting source-load data at continuous time points, calculating cluster fluctuation data, and using a pattern search algorithm to construct a search matrix, the fluctuation points are searched to obtain a global optimal solution. The invention can effectively solve the problem of real-time frequency modulation control of power loads by new energy stations, obtain an adjustment scheme with high convergence, and improve the output stability of new energy stations participating in power grid frequency modulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work, among which:

[0042] Figure 1 An overall flow chart of an automatic control method for source-load frequency regulation of a new energy station provided for one embodiment of the present invention.

[0043] Figure 2 A system simulation model diagram of an automatic control method for source-load frequency regulation of a new energy station provided in one embodiment of the present invention.

[0044] Figure 3 A diagram of low-frequency source-load frequency fluctuations before and after frequency modulation of a new energy station source-load frequency automatic control method provided by an embodiment of the present invention.

[0045] Figure 4 A diagram of high-frequency source-load frequency fluctuations before and after frequency modulation of a new energy station source-load frequency automatic control method provided by an embodiment of the present invention.

[0046] Figure 5A system solution module diagram of a new energy station source-load frequency modulation automatic control system provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0048] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0049] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is mutually exclusive with other embodiments, either individually or selectively.

[0050] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0051] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0052] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0053] Example 1, reference Figure 1 , which is the first embodiment of the present invention, and provides a new energy station source-load frequency modulation automatic control method, comprising:

[0054] S1: Analyze the load data of new energy stations and build a load cluster matrix.

[0055] Furthermore, the load data of new energy stations are analyzed to construct a load cluster matrix;

[0056] The load data of new energy stations are analyzed by data preprocessing and data mining. The load cluster is taken as the research object. For a cluster composed of k loads, the load cluster matrix with a synchronous time series of t is constructed as follows:

[0057]

[0058] Among them, t k is the kth load group, t g,k Represents the time series matrix element with row g and column k.

[0059] S2: According to the constructed load cluster matrix, the source load data at continuous time points are extracted and the source load time series cluster fluctuation data is calculated.

[0060] Furthermore, based on the constructed load cluster matrix, the source load data at consecutive time points are extracted and the source load time series cluster fluctuation data are calculated;

[0061] According to the constructed load cluster matrix, the data of all source loads in the time series cluster at continuous time points are extracted as follows:

[0062]

[0063] Among them, x i is the source load data of the ith cluster, x i+1 It is the source load data of the i+1th cluster.

[0064] The cluster fluctuation data of the i-th source load time series is expressed as:

[0065] Δx i =x i+1 -x i =[t i+1,1 -t i,1 ,t i+1,2 -t i,2 ,…,t i+1,k -t i,k ]

[0066] Where Δx i is the cluster fluctuation data of the i-th source load time series.

[0067] S3: Use the rated power of the new energy station to calculate the frequency regulation power of the new energy station and derive the frequency regulation difference rate of the new energy station.

[0068] Furthermore, the frequency regulation power of the new energy station is calculated using the rated power of the whole station, and then the frequency regulation difference rate of the new energy station is derived;

[0069] The frequency modulation power of the new energy station is calculated using the rated power of the new energy station, which is expressed as:

[0070]

[0071] The frequency regulation difference rate of the new energy station is derived, and the frequency regulation power of the new energy station is changed to obtain:

[0072]

[0073] Among them, P is the frequency regulation power of the new energy station, P0 is the active power, P1 is the rated power of the whole station, η is the frequency regulation frequency, η0 is the dead zone boundary frequency, η1 is the rated frequency, and ε is the frequency regulation difference rate of the new energy station.

[0074] S4: Use the pattern search algorithm to construct a pattern search matrix to search for fluctuation points. When the search output value does not exceed the automatic control parameter, the optimal control value is output.

[0075] Furthermore, the present invention can quickly find the optimal solution within a given range by introducing a pattern search algorithm, thereby improving operating efficiency and increasing the output stability of new energy stations participating in grid frequency regulation.

[0076] The pattern search matrix is ​​constructed using the pattern search algorithm to search for fluctuation points. When the search output value is greater than the automatic control parameter, the search times are updated. Otherwise, the optimization is terminated and the optimal control amount is output.

[0077] The pattern search algorithm is used to construct a pattern search matrix to search for fluctuation points. For the optimization problem involving m variables, each search point has a search direction on 2m. The constructed pattern search matrix is:

[0078]

[0079] Where E is the pattern search matrix, L i is the search step length.

[0080] Set the search initial value to 1. When the search times are greater than twice the automatic control point, shorten the search step, update the search matrix, and obtain the search solution:

[0081]

[0082] in, is the optimal solution for the i-th search, x i is the solution found in the ith search, E i is the i-th search matrix;

[0083] When the search output value is greater than the automatic control parameter, the search times are updated. When the search output value does not exceed the automatic control parameter, the optimization is terminated and the optimal control amount is output.

[0084] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0085] Example 2, reference Figure 2-Figure 4 The second embodiment of the present invention provides a new energy station source-load frequency modulation automatic control method. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0086] by Figure 2 Take the simulation model diagram of the two inverter microgrid system as an example, where motor DG1 adopts the traditional low-frequency control method, and DG2 adopts the automatic control method of the source-load frequency modulation of the new energy station under frequent load fluctuations. Load load1 is the lighting load, load load2 is the air conditioning load, and load load3 is the motor load. The three loads are directly connected to motors DG1 and DG2, and connected to the new energy station through switches k1 and k2. The simulation is performed before high frequency and after automatic high frequency, and the low-frequency source-load frequency fluctuation before and after frequency modulation is obtained as shown in the figure Figure 3 As shown in the figure, the frequency fluctuation of high-frequency source and load before and after frequency modulation is as follows Figure 4 As shown in the two figures, it can be seen that before frequency modulation, both low frequency and frequency modulation change frequently, and the low frequency finally stabilizes at 17Hz, and the high frequency finally stabilizes at 101Hz. After automatic frequency modulation using the method proposed in the present invention, it can quickly stabilize to the corresponding value, where the low frequency stabilizes at 17Hz and the high frequency stabilizes at 101Hz, which is the same as the result before high frequency, but the method proposed in the present invention converges faster.

[0087] Embodiment 3, the third embodiment of the present invention, is different from the first two embodiments in that:

[0088] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0089] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0090] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0091] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0092] Example 4, reference Figure 5 , which is the fourth embodiment of the present invention, and provides a new energy station source-load frequency regulation automatic control system, including a data analysis and load cluster construction module 10, a source-load data extraction and fluctuation calculation module 20, a frequency regulation power and modulation rate calculation module 30, and a mode search and optimization control module 40;

[0093] The data analysis and load cluster construction module 10 receives the original load data, pre-processes and performs data mining on the load data of the new energy station, constructs a load cluster matrix, and transmits the load cluster matrix to the source load data extraction and fluctuation calculation module 20;

[0094] The source-load data extraction and fluctuation calculation module 20 receives the load cluster matrix, extracts the source-load data at continuous time points according to the load cluster matrix, and calculates the source-load time series cluster fluctuation data and transmits it to the frequency modulation power and modulation rate calculation module 30;

[0095] The frequency modulation power and modulation rate calculation module 30 receives the full station rated power data, calculates the frequency modulation power using the full station rated power of the new energy station, and derives the frequency modulation modulation rate to be passed to the mode search and optimization control module 40;

[0096] The mode search and optimization control module 40 receives source-load time series cluster fluctuation data and automatic control parameters, constructs a mode search matrix using a mode search algorithm, searches for fluctuation points, and outputs an optimal control value.

[0097] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A new energy station source-load frequency modulation automatic control method, characterized by: include, Analyze the load data of new energy stations and build a load cluster matrix; According to the constructed load cluster matrix, the source load data at continuous time points are extracted, and the source load time series cluster fluctuation data is calculated; Use the rated power of the new energy station to calculate the frequency regulation power of the new energy station and derive the frequency regulation difference rate of the new energy station; The pattern search algorithm is used to construct a pattern search matrix to search for fluctuation points. When the search output value does not exceed the automatic control parameter, the optimal control amount is output.

2. A new energy station source-load frequency modulation automatic control method as claimed in claim 1, characterized in that: The constructing of the load cluster matrix includes analyzing the load data of the new energy stations to construct the load cluster matrix; The load data of new energy stations are analyzed by data preprocessing and data mining. The load cluster is taken as the research object. For a cluster composed of k loads, the load cluster matrix with a synchronous time series of t is constructed as follows: Among them, t k is the kth load group, t g,k Represents the time series matrix element with row g and column k.

3. A new energy station source-load frequency modulation automatic control method as claimed in claim 2, characterized in that: The extracting of source load data at continuous time points includes extracting source load data at continuous time points according to the constructed load cluster matrix, and calculating source load time series cluster fluctuation data; According to the constructed load cluster matrix, the data of all source loads in the time series cluster at continuous time points are extracted as follows: Among them, x i is the source load data of the ith cluster, x i+1 It is the source load data of the i+1th cluster.

4. A new energy station source-load frequency modulation automatic control method as claimed in claim 3, characterized in that: The calculating of the source load time series cluster fluctuation data includes: the i-th source load time series cluster fluctuation data is expressed as: Δx i =x i+1 -x i =[t i+1,1 -t i,1 ,t i+1,2 -t i,2 ,…,t i+1,k -t i,k ] Where Δx i is the cluster fluctuation data of the i-th source load time series.

5. A new energy station source-load frequency modulation automatic control method as claimed in claim 4, characterized in that: The calculating of the frequency modulation power of the new energy station includes calculating the frequency modulation power of the new energy station using the rated power of the whole station of the new energy station, and then deriving the frequency modulation difference rate of the new energy station; The frequency modulation power of the new energy station is calculated using the rated power of the new energy station, which is expressed as: The frequency regulation difference rate of the new energy station is derived, and the frequency regulation power of the new energy station is changed to obtain: Among them, P is the frequency regulation power of the new energy station, P0 is the active power, P1 is the rated power of the whole station, η is the frequency regulation frequency, η0 is the dead zone boundary frequency, η1 is the rated frequency, and ε is the frequency regulation difference rate of the new energy station.

6. A new energy station source-load frequency modulation automatic control method as claimed in claim 5, characterized in that: The constructing of the mode search matrix includes constructing the mode search matrix using a mode search algorithm, searching for fluctuation points, and when the search output value is greater than the automatic control parameter, updating the search times, otherwise terminating the optimization and outputting the optimal control amount; The pattern search algorithm is used to construct a pattern search matrix to search for fluctuation points. For the optimization problem involving m variables, each search point has a search direction on 2m. The constructed pattern search matrix is: Where E is the pattern search matrix, L i is the search step length.

7. A new energy station source-load frequency modulation automatic control method as claimed in claim 6, characterized in that: The constructing mode search matrix also includes setting the search initial value to 1, and when the search times are greater than twice the automatic control point, shortening the search step length, updating the search matrix, and obtaining the search solution as: in, is the optimal solution for the i-th search, x i is the solution found in the ith search, E i is the i-th search matrix; When the search output value is greater than the automatic control parameter, the search times are updated. When the search output value does not exceed the automatic control parameter, the optimization is terminated and the optimal control amount is output.

8. A system using a new energy station source-load frequency modulation automatic control method as claimed in any one of claims 1 to 7, characterized in that: It includes data analysis and load cluster construction module, source-load data extraction and fluctuation calculation module, frequency modulation power and modulation rate calculation module, mode search and optimization control module; The data analysis and load cluster building module receives the original load data, pre-processes and performs data mining on the load data of the new energy station, builds a load cluster matrix, and transmits the load cluster matrix to the source load data extraction and fluctuation calculation module; The source-load data extraction and fluctuation calculation module receives the load cluster matrix, extracts the source-load data at consecutive time points according to the load cluster matrix, and calculates the source-load time series cluster fluctuation data and transmits it to the frequency modulation power and modulation rate calculation module; The frequency modulation power and modulation rate calculation module receives the full station rated power data, calculates the frequency modulation power using the full station rated power of the new energy station, and derives the frequency modulation modulation rate to pass to the mode search and optimization control module; The pattern search and optimization control module receives source load time series cluster fluctuation data and automatic control parameters, constructs a pattern search matrix using a pattern search algorithm, searches for fluctuation points, and outputs an optimal control amount.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the automatic control method for source-load frequency regulation of a new energy station described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the automatic control method for source-load frequency regulation of a new energy station described in any one of claims 1 to 7 are implemented.

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