Sequence generation method, device and equipment for micro-grid connection and medium

Abstract

The invention discloses a sequence generation method, device and equipment for micro-grid connection and a medium, and relates to the field of power networks, the method is applied to a first terminal in a micro-grid, and the first terminal is connected with a second terminal in a power wireless private network; the method comprises the following steps: receiving a long sequence set sent by a second terminal; generating a short sequence set according to the long sequence set; combining the long sequence set and the short sequence set to obtain a sequence set; and the sequence set is sent to other terminals in the micro-grid, so that the problem of sequence matching between the micro-grid and the power wireless private network is solved.

Description

Technical Field

[0001] This invention relates to the field of power grids, and more specifically to a sequence generation method, apparatus, equipment, and medium for microgrid grid connection. Background Technology

[0002] In remote mountainous areas, various natural disasters, malicious attacks, and unexpected failures are unpredictable. Under these conditions, power grid wireless private networks are often affected and experience failures. In such situations, communication terminals find it difficult to quickly switch over and access backup networks. Therefore, the transmission and access mechanisms for microgrid terminals in disaster recovery scenarios are an urgent problem to be solved.

[0003] Traditional frequency hopping sequences involve users selecting sequences with equal periods for information encoding and transmission. However, when a microgrid accesses a power wireless private network, the microgrid often requires short sequences for fast information transmission, while the power wireless private network requires long-period sequences. Therefore, sequence matching between the microgrid and the power wireless private network is a critical issue for microgrid terminals during transmission and access. Summary of the Invention

[0004] The technical problem to be solved by this invention is how to solve the sequence matching problem between microgrids and power wireless private networks. The purpose is to provide a sequence generation method, apparatus, equipment and medium for microgrid grid connection, thereby solving the above-mentioned problem.

[0005] This invention is achieved through the following technical solution: In a first aspect, the present invention provides a sequence generation method for microgrid grid connection, applied to a first terminal in the microgrid, the first terminal being connected to a second terminal in a power wireless private network; the method includes: Receive a long sequence set sent by the second terminal; Generate a short sequence set based on the long sequence set; Merge the long sequence set and the short sequence set to obtain a sequence set; The sequence set is sent to other terminals in the micronet.

[0006] Optionally, generating a short sequence set based on the long sequence set includes: A partial sequence set is collected from the long sequence set; The generating function is determined based on the linear relationship of the partial sequence set; A short sequence set is generated based on the partial sequence set and the generating function.

[0007] Optionally, the step of collecting a partial sequence set from the long sequence set includes: The sequence period length is determined based on the information capacity of the first terminal; Based on the sequence period length, frequency sampling is performed on the long sequence set to obtain a partial sequence set.

[0008] Optionally, merging the long sequence set and the short sequence set to obtain a sequence set includes: If there are two short sequences in the set of short sequences that do not satisfy orthogonality, then the generating function is corrected to obtain the corrected generating function; Based on the partial sequence set and the corrected generating function, a new short sequence set is generated until any two short sequences in the new short sequence set are orthogonal. The long sequence set and the new short sequence set are then merged to obtain a sequence set.

[0009] Optionally, if the long sequence set contains q A number of lengths q n If the sequence is -1, then the long sequence set has a relevant window size of Some Han-Ming related information ;in, q Let n be a prime number to be selected, where n is a positive integer.

[0010] Optionally, if the short sequence set contains If there are sequences of length q-1, then the maximum periodic Hamming correlation of the short sequence set does not exceed n.

[0011] Optionally, the sequences between the long sequence set and the short sequence set have a local Hamming correlation of length q-1 that does not exceed n.

[0012] Secondly, the present invention provides a sequence generation device for microgrid grid connection, comprising a first terminal disposed in the microgrid, the first terminal being connected to a second terminal in a power wireless private network; the device includes: A receiving module is used to receive a long sequence set sent by the second terminal; A generation module is used to generate a short sequence set based on the long sequence set; The merging module is used to merge the long sequence set and the short sequence set to obtain a sequence set; The sending module is used to send the sequence set to other terminals in the micronet.

[0013] Thirdly, the present invention provides a computer device, the computer device including a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement a sequence generation method for microgrid grid connection as described in any one of the first aspects.

[0014] Fourthly, the present invention provides a computer-readable storage medium storing a computer program, wherein a processor executes the computer program to implement a sequence generation method for microgrid grid connection as described in any one of the first aspects.

[0015] Compared with the prior art, the present invention has the following advantages and beneficial effects: This application provides a sequence generation method for microgrid connection. The method is applied to a first terminal in the microgrid, and the microgrid is connected to a second terminal in a power wireless private network. The method includes: receiving a long sequence set sent by the second terminal; generating a short sequence set based on the long sequence set; merging the long sequence set and the short sequence set to obtain a sequence set; and sending the sequence set to other terminals in the microgrid. This method, by merging the long sequence set and the short sequence set to form a complete sequence set, contains both the short sequences required by the microgrid and the long sequences required by the power wireless private network, solving the sequence matching problem between the microgrid and the power wireless private network, and enabling rapid access between the two networks. Terminals in the microgrid can work collaboratively with terminals in the power wireless private network. Furthermore, the encoding complexity of the sequence set is low, meeting the low-cost requirement for microgrid connection under disaster recovery conditions. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be considered as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort. In the drawings: Figure 1 This is a schematic diagram of an application scenario provided by an embodiment of this application; Figure 2 A flowchart illustrating a sequence generation method for microgrid grid connection provided in an embodiment of this application; Figure 3 This is a schematic diagram of a sequence generation device for microgrid grid connection provided in an embodiment of this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0018] Before introducing the specific technical solutions of this application, let's first introduce the background technology involved in the embodiments of this application.

[0019] In the node network where the microgrid terminal is located, data transmission and access have the following characteristics: 1. Terminal node access requires a short response time to meet users' immediate needs.

[0020] 2. Data transmission should avoid mutual interference to ensure transmission reliability.

[0021] 3. Terminal data transmission should ensure its security.

[0022] Currently, the existing access transmission mechanisms in microgrid terminal networks all rely on authentication before signal transformation. This mechanism suffers from latency due to network congestion and electromagnetic interference during access, failing to provide instantaneous access and thus not meeting users' immediate needs. While existing research has analyzed the impact of network components, topology, routing strategies, network management, and construction costs on microgrid access reliability, and attempts to improve reliability by modifying these aspects, these solutions still involve selecting the same time slot or frequency slot for different terminal nodes, potentially leading to conflicts and frequent mutual interference between nodes.

[0023] Currently, numerous studies have reported on access methods to avoid time slot conflicts. Some papers propose using congestion avoidance algorithms to handle data congestion, ensuring smooth data flow for node access, meeting the needs of different service network accesses, and fully utilizing network resources. Other papers propose link stability-based congestion control algorithms based on constrained application protocols, which determine the network environment state by using the round-trip time of strong, weak, and failed messages and smoothly estimate timeout retransmission times, thereby avoiding unnecessary retransmissions and reducing the overhead of microgrid access. However, existing congestion avoidance schemes require significant time and computational overhead, which cannot meet the real-time transmission requirements of microgrids. Furthermore, in existing transmission methods, each terminal typically selects a fixed channel, always choosing the same frequency slot for access, which compromises security. Therefore, researching novel microgrid terminal access strategies is crucial, and improving the reliability of information transmission is essential.

[0024] Traditional frequency hopping sequences involve users selecting sequences with equal periods for information encoding and transmission. However, when a microgrid accesses a power wireless private network, the microgrid often requires short sequences for fast information transmission, while the power wireless private network requires long-period sequences. Therefore, sequence matching between the microgrid and the power wireless private network is a critical issue for microgrid terminals during transmission and access.

[0025] Therefore, embodiments of this application provide a sequence generation method for microgrid grid connection. Please refer to... Figure 1This diagram illustrates an application scenario provided by an embodiment of this application. The application scenario includes a power wireless private network and a microgrid. The power wireless private network is a dedicated wireless communication network used by power supply companies or power systems for monitoring, dispatching, and protecting power equipment. A microgrid is a localized power system that can operate independently of the power wireless private network, and includes distributed power sources (such as photovoltaic, wind power, and energy storage), loads, and control systems. A first terminal in the microgrid is connected to a second terminal in the power wireless private network.

[0026] It should be noted that, Figure 1 Taking a power wireless private network including a second terminal as an example, and a microgrid including a first terminal as an example, there is actually no limit to the number of terminals in the power wireless private network and the microgrid.

[0027] Please refer to Figure 2 This is a flowchart illustrating a sequence generation method for microgrid grid connection provided in an embodiment of this application. The following is based on... Figure 1 The application scenarios shown are for Figure 2 The sequence generation method for microgrid grid connection is described below.

[0028] S201, Receive the long sequence set sent by the second terminal.

[0029] Specifically, the second terminal can use a combination of linear shift registers (e.g., the LG model) to generate long sequence sets. Long sequence sets refer to sequences with long periods and high correlation, used for data transmission in the power wireless private network. When the power wireless private network is in normal operation, the second terminal will transmit the long sequence sets to other terminals in the network to achieve data synchronization and communication security. When the power wireless private network fails, the second terminal will transmit the long sequence sets to the first terminal in the microgrid, enabling the microgrid to achieve communication or scheduling access through the long sequence sets.

[0030] S202. Generate a short sequence set based on the long sequence set.

[0031] In one possible embodiment, the step of generating a short sequence set based on a long sequence set includes: A partial sequence set is collected from the long sequence set; a generating function is determined based on the linear relationship of the partial sequence set; and a short sequence set is generated based on the partial sequence set and the generating function.

[0032] Specifically, first, a continuous frequency point sequence is collected from the long sequence set to obtain a partial sequence set. Then, the Berlekamp-Massey (BM) algorithm is used to calculate the linear complexity of the partial sequence set. This linear complexity is used as the minimum number of shift registers, and the corresponding generating function can be obtained based on the shift register principle. Finally, this generating function is used on the partial sequence set to obtain a short sequence set.

[0033] Generator functions generate mathematical representations of specific binary sequences using registers, for example: f(x) = ax%t in, f(x) This represents a generating function with x as the independent variable, a as a constant, t as the number of frequency points, and % as the range of values ​​for the frequency points; % indicates modulo operation.

[0034] For example: From the long sequence set "1044233122013342", a sequence segment of length 5 is collected, resulting in the partial sequence set "42331", which has 5 frequency points. Therefore, the generating function is... f (x) = ax%5. Multiplying each element in “42331” by different constants a (1, 2, 3, 4) and taking the modulus of the result by 5, we can obtain four sequences: “42331”, “34112”, “21443”, and “13224”. The partial Hamming correlation between these four short sequences is 0, which is very good performance.

[0035] In one possible embodiment, the step of extracting a portion of the sequence from a long sequence includes: The sequence period length is determined based on the information capacity of the first terminal; Based on the sequence period length, frequency sampling is performed on long sequence sets to obtain partial sequence sets.

[0036] Specifically, there is a one-to-one correspondence between the numbers and frequency points in the sequence. For example, in the long sequence set "1044233122013342", 0, 1, 2, 3, and 4 correspond to five frequency points that increase sequentially. The information capacity of the first terminal (usually determined by factors such as bandwidth, transmission rate, and modulation method) determines the range of sequence lengths it can support. The larger the information capacity, the wider the range of sequence lengths it can support, and the higher the transmission speed and quality. Therefore, it is first necessary to determine the required sequence length range based on the information capacity of the first terminal, and then, based on this sequence length range, collect a continuous frequency point sequence of that length from the long sequence set to obtain a partial sequence set.

[0037] S203. Merge the long sequence set and the short sequence set to obtain the sequence set.

[0038] In one possible implementation, if any two short sequences in the short sequence set are orthogonal, then the long sequence set and the short sequence set are directly merged to obtain a sequence set.

[0039] In another possible embodiment, if there are two short sequences in the short sequence set that do not satisfy orthogonality, the generating function is corrected to obtain a corrected generating function; a new short sequence set is generated based on the partial sequence set and the corrected generating function, until any two short sequences in the new short sequence set satisfy orthogonality, and the long sequence set and the new short sequence set are merged to obtain a sequence set.

[0040] In this embodiment, after generating a set of short sequences, the first terminal can correct the generating function based on the orthogonality between any two short sequences in the set, thereby ensuring that any two sequences in the set are orthogonal and avoiding mutual interference or redundancy between sequences.

[0041] S204. Send the sequence set to other terminals in the micronet.

[0042] Specifically, after generating the sequence set, the first terminal can send the sequence set to other terminals in the micronet.

[0043] It should be noted that all sequences should, in principle, meet the following requirements: (1) Long sequences should satisfy good partial Hamming correlation properties; (2) Short sequences should satisfy good periodic Hamming correlation properties; (3) The long and short sequences should satisfy the good local Hamming correlation property with the period of the short sequence as the length; (4) The number of sequences should be as large as possible; (5) The randomness of the sequence should be as good as possible.

[0044] The complete process for generating sequence sets is described below.

[0045] S1.1 Construct a long sequence set.

[0046] By selecting prime powers q and n ≤ q-1, a long sequence set A is generated as follows: A={A 0 A 1 ,…,A q-1} Where A represents a long sequence set; A i Let i represent the i-th long sequence in the set of long sequences, where i = 0, 1, ..., q-1. q Represents prime numbers; A i The expression is as follows:

[0047] in, Let j represent the j-th element of the i-th long sequence in the set of long sequences, where j = 0, 1, ..., q.n -2; The calculation formula is as follows:

[0048] in, α j Indicates GF( q n The j-th generator of ); tr( x ) indicates from GF( q n ) to GF( q The trace function of GF( q ) indicates that it contains q A finite field of n elements, GF( q n ) indicates that it contains q n A finite field of elements n It is a positive integer.

[0049] S1.2, Construction A Lagrange interpolation function.

[0050]

[0051] in, f k (x) represents the k-th Lagrange interpolation function. ; λ i and λ j For GF( q Two distinct non-zero elements in ) There are q-1 pairwise distinct non-zero elements.

[0052] S1.3, Generate a short sequence set.

[0053]

[0054] Where B represents the set of short sequences, B k Represents the first short sequence in the set. k A short sequence, , q Represents prime numbers; B k The expression is as follows:

[0055] S1.4, Generate a set of sequences.

[0056]

[0057] Where C represents the set of sequences, A represents the set of long sequences, and B represents the set of short sequences.

[0058] Based on the sequence generation process described above, it can be seen that: (1) The sequences generated by the above method are based on trace functions, thus ensuring the randomness of the sequences; (2) The number of sequences can be greatly influenced by the parameter n; (3) The generation methods are all based on linear functions, so the coding complexity is very low and the operation speed is fast.

[0059] In one possible embodiment, if the long sequence set contains q A number of lengths q n For a sequence of -1, the long sequence set has a relevant window size of Some Han-Ming related information ;in, q Let n be a prime number to be selected, where n is a positive integer.

[0060] Specifically, the long sequence set A contains q sequences of length q. q n The sequence of -1, its A i and A j In relative time delay The relevant parts of the Han and Ming dynasties are as follows:

[0061] in, and .

[0062] (1) When i = j and At that time, it can be obtained ,but .

[0063] (2) When i ≠ j and At that time, obviously ,but .

[0064] (3) When i ≠ j and At that time, it can be known from the properties of the trace function that In relation to The value of has one and only There is one solution. Therefore .

[0065] In summary, the sequences in the long sequence set A have a relevance window size of... Some Han-Ming related information .

[0066] In the embodiments of this application, if different long sequences have high similarity, it may lead to signal interference or conflict, affecting the stability and accuracy of data transmission. A good partial Hamming correlation between long sequences means that the differences between different sequences are relatively large, which can reduce such interference and ensure the clarity and reliability of data transmission.

[0067] In one possible embodiment, if the short sequence set contains If there are q-1 sequences, then the maximum periodic Hamming correlation of the short sequence set does not exceed n.

[0068] Specifically, the short sequence set B contains Given a sequence of length q-1, its B i and B j In relative time delay The periodic Hamming correlation of time is:

[0069] (1) When i = j and At that time, according to the characteristics of the trace function, In relation to The maximum possible value is n There is one solution. Therefore .

[0070] (2) When i ≠ j, the same applies. In relation to The maximum possible value is also... n There is one solution. Therefore .

[0071] In summary, the maximum periodic Hamming correlation of sequences in the short sequence set B is: n .

[0072] In this embodiment, the periodic Hamming correlation of short sequences describes the differences between short sequences in periodic repetition patterns. Good periodic Hamming correlation means that these short sequences will not accidentally overlap or conflict, thereby improving overall transmission efficiency.

[0073] In one possible embodiment, the sequences between the long sequence set and the short sequence set are locally Hamming correlated for a length of q-1, which does not exceed n.

[0074] Specifically, for sequence A in a long sequence set A i and sequence B in the short sequence set B j , Its relative time delay is The local Hamming correlation of time is:

[0075] Similar analysis shows that the local Hamming correlation between sequences in the long sequence set A and sequences in the short sequence set B is no more than q-1. n .

[0076] In this embodiment, the local Hamming correlation between long and short sequences refers to their similarity over a specific period length. Good local Hamming correlation ensures that the relationship between long and short sequences remains consistent within the period, thereby improving the data transmission consistency of the entire network. It helps ensure that long and short sequences can be correctly synchronized and transmitted in a micronet.

[0077] To illustrate the Hamming correlation between long and short sequences more clearly, the following examples will provide a detailed explanation.

[0078] Let q=11, n =3, The long sequence set A can be obtained as follows:

[0079] The short sequence set B is obtained as follows:

[0080] Therefore, the Hamming correlation of sequences in the long sequence set A is 12 in the local correlation window of size 133, the maximum periodic Hamming correlation of sequences in the short sequence set B is no more than 3, and the local Hamming correlation of sequences between the long sequence set A and the short sequence set B is no more than 3 in the local correlation window of length 10.

[0081] In summary, this application provides a sequence generation method for microgrid grid connection. By merging long sequence sets and short sequence sets, a complete sequence set is formed. This sequence set enables rapid access to microgrid signals, has minimal mutual interference with the power wireless private network, and exhibits very low multi-access interference within its respective network. Furthermore, it is simple and reliable to implement, providing a guarantee for the secure access of multi-user microgrids.

[0082] Based on the same inventive concept, this application also provides a sequence generation device for microgrid grid connection, comprising a first terminal disposed in the microgrid, the first terminal being connected to a second terminal in a power wireless private network; the device includes: The receiving module is used to receive a long sequence set sent by the second terminal; The generation module is used to generate a short sequence set based on the long sequence set; The merging module is used to merge long sequence sets and short sequence sets to obtain a sequence set. The sending module is used to send the sequence set to other terminals in the micronet.

[0083] Optionally, the generation module is specifically used for: A partial sequence set is collected from a long sequence set; Determine the generating function based on the linear relationship of a partial sequence set; Generate a short sequence set based on a partial sequence set and a generating function.

[0084] Optionally, the generation module is specifically used for: The sequence period length is determined based on the information capacity of the first terminal; Based on the sequence period length, frequency sampling is performed on long sequence sets to obtain partial sequence sets.

[0085] The merging module is specifically used for: If there are two short sequences in the set of short sequences that are not orthogonal, then the generating function is corrected to obtain the corrected generating function; Based on the partial sequence set and the corrected generating function, a new short sequence set is generated until any two short sequences in the new short sequence set are orthogonal. The long sequence set and the new short sequence set are then merged to obtain a sequence set.

[0086] Optionally, if the long sequence set contains q A number of lengths q n For a sequence of -1, the long sequence set has a relevant window size of Some Han-Ming related information ;in, q Let n be a prime number to be selected, where n is a positive integer.

[0087] Optionally, if the short sequence set contains If there are q-1 sequences, then the maximum periodic Hamming correlation of the short sequence set does not exceed n.

[0088] Optionally, the sequences between the long sequence set and the short sequence set have a local Hamming correlation of length q-1 that does not exceed n.

[0089] Based on the same inventive concept, this application also provides a computer device, which includes a processor, a memory, and a computer program stored in the memory. The computer program is executed by the processor to implement the aforementioned sequence generation method for microgrid interconnection.

[0090] Based on the same inventive concept, this application also provides a computer storage medium storing a computer program, which is executed by a processor to implement the aforementioned sequence generation method for microgrid interconnection.

[0091] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or it may be a device including one or any combination of the above-mentioned memories. The computer may be a variety of computing devices, including smart terminals and servers.

[0092] In some embodiments, executable instructions may take the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a standalone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.

[0093] As an example, executable instructions may, but do not necessarily, correspond to files in the file system. They may be stored as part of a file that holds other programs or data, for example, in one or more scripts in a Hyper Text Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple collaborative files (e.g., a file that stores one or more modules, subroutines, or code sections).

[0094] As an example, executable instructions can be deployed to execute on a single computing device, or on multiple computing devices located in one location, or on multiple computing devices distributed across multiple locations and interconnected via a communication network.

[0095] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0096] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0097] The above specific embodiments further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A sequence generation method for microgrid grid connection, characterized in that, A first terminal is applied in a microgrid, and the first terminal is connected to a second terminal in a power wireless private network; the method includes: Receive a long sequence set sent by the second terminal; Generate a short sequence set based on the long sequence set; Merge the long sequence set and the short sequence set to obtain a sequence set; The sequence set is sent to other terminals in the micronet.

2. The sequence generation method for microgrid grid connection according to claim 1, characterized in that, The step of generating a short sequence set based on the long sequence set includes: A partial sequence set is collected from the long sequence set; The generating function is determined based on the linear relationship of the partial sequence set; A short sequence set is generated based on the partial sequence set and the generating function.

3. The sequence generation method for microgrid grid connection according to claim 2, characterized in that, The step of collecting a partial sequence set from the long sequence set includes: The sequence period length is determined based on the information capacity of the first terminal; Based on the sequence period length, frequency sampling is performed on the long sequence set to obtain a partial sequence set.

4. The sequence generation method for microgrid grid connection according to claim 2, characterized in that, The process of merging the long sequence set and the short sequence set to obtain a sequence set includes: If there are two short sequences in the set of short sequences that do not satisfy orthogonality, then the generating function is corrected to obtain the corrected generating function; Based on the partial sequence set and the corrected generating function, a new short sequence set is generated until any two short sequences in the new short sequence set are orthogonal. The long sequence set and the new short sequence set are then merged to obtain a sequence set.

5. The sequence generation method for microgrid grid connection according to claim 1, characterized in that, If the long sequence set contains q A number of lengths q n If the sequence is -1, then the long sequence set has a relevant window size of Some of the Han and Ming related information is ;in, q Let n be a prime number to be selected, where n is a positive integer.

6. The sequence generation method for microgrid grid connection according to claim 4, characterized in that, If the short sequence set contains A length of q For sequences of -1, the maximum periodic Hamming correlation of the short sequence set does not exceed n.

7. The sequence generation method for microgrid grid connection according to claim 6, characterized in that, The sequences between the long sequence set and the short sequence set have a length of q The local Hamming correlation of -1 does not exceed n.

8. A sequence generation device for microgrid grid connection, characterized in that, A first terminal is installed in a microgrid, and the first terminal is connected to a second terminal in a power wireless private network; the device includes: A receiving module is used to receive a long sequence set sent by the second terminal; A generation module is used to generate a short sequence set based on the long sequence set; The merging module is used to merge the long sequence set and the short sequence set to obtain a sequence set; The sending module is used to send the sequence set to other terminals in the micronet.

9. A computer device, characterized in that, The computer device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement a sequence generation method for microgrid grid connection as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and the processor executes the computer program to implement a sequence generation method for microgrid grid connection as described in any one of claims 1-7.

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