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

Abstract

The application discloses a sequence generation method and device for micro-grid grid connection, equipment and medium, relates to the field of power network, and 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 the second terminal; generating a short sequence set according to 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 micro-grid, so that the sequence matching problem between the micro-grid and the power wireless private network is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power network, in particular to a sequence generation method, device and equipment for micro-grid grid connection and medium. BACKGROUND

[0002] In remote mountainous areas, various natural disasters, malicious attacks, accidental failures, etc. are unpredictable, and under these disaster conditions, the power wireless private network will often be affected by these disasters and fail. In such a situation, the communication terminal is difficult to quickly switch and access the backup network, therefore, the transmission and access mechanism of the micro-grid terminal under the disaster recovery condition is a problem to be solved.

[0003] Since the traditional frequency hopping sequence is an equal period sequence selected among users for information encoding transmission, but when the micro-grid accesses the power wireless private network, the micro-grid often needs a short sequence for fast information transmission, and the power wireless private network needs a long period sequence for information transmission, therefore, the sequence matching problem between the micro-grid and the power wireless private network is a key problem in the transmission and access process of the micro-grid terminal. SUMMARY

[0004] The technical problem to be solved by the present application is how to solve the sequence matching problem between the micro-grid and the power wireless private network, and the purpose is to provide a sequence generation method, device and equipment for micro-grid grid connection, which solves the above problems.

[0005] The present application is realized by the following technical scheme:

[0006] In a first aspect, the present application provides a sequence generation method for micro-grid grid connection, applied to a first terminal in a micro-grid, wherein the first terminal is connected with a second terminal in a power wireless private network; the method comprises:

[0007] receiving a long sequence set sent by the second terminal;

[0008] generating a short sequence set according to the long sequence set;

[0009] merging the long sequence set and the short sequence set to obtain a sequence set;

[0010] sending the sequence set to other terminals in the micro-grid.

[0011] Optionally, the step of generating a short sequence set according to the long sequence set comprises:

[0012] collecting a part of the sequence set from the long sequence set;

[0013] determining a generating function according to the linear relationship of the part of the sequence set;

[0014] According to the partial sequence set and the generating function, a short sequence set is generated.

[0015] Optionally, the collecting the partial sequence set from the long sequence set comprises:

[0016] According to the information capacity of the first terminal, a sequence period length is determined.

[0017] According to the sequence period length, frequency sampling is performed on the long sequence set to obtain a partial sequence set.

[0018] Optionally, the merging the long sequence set and the short sequence set to obtain a sequence set comprises:

[0019] If two short sequences in the short sequence set do not satisfy orthogonality, the generating function is corrected to obtain a corrected generating function.

[0020] According to 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 satisfy orthogonality, and the long sequence set and the new short sequence set are merged to obtain a sequence set.

[0021] Optionally, if the long sequence set contains q sequences with a length of q n -1, the partial Hamming correlation of the long sequence set with a correlation window size of is n. ; wherein, q is a selected prime number, and n is a positive integer.

[0022] Optionally, if the short sequence set contains sequences with a length of q-1, the maximum period Hamming correlation of the short sequence set is not more than n.

[0023] Optionally, the sequence between the long sequence set and the short sequence set has a local Hamming correlation of not more than n in a length of q-1.

[0024] In a second aspect, the present application provides a sequence generation device for micro-grid grid connection, which is arranged in a first terminal in a micro-grid, and the first terminal is connected with a second terminal in a power wireless private network; the device comprises:

[0025] A receiving module is configured to receive a long sequence set sent by the second terminal.

[0026] A generating module is configured to generate a short sequence set according to the long sequence set.

[0027] A merging module is configured to merge the long sequence set and the short sequence set to obtain a sequence set.

[0028] The sending module is configured to send the sequence set to other terminals in the microgrid.

[0029] In a third aspect, the present application provides a computer device, which comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the sequence generation method for microgrid grid connection according to any one of the first aspect.

[0030] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the processor executes the computer program to realize the sequence generation method for microgrid grid connection according to any one of the first aspect.

[0031] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0032] The present application provides a sequence generation method for microgrid grid connection, which is applied to a first terminal in a microgrid, and the microgrid 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 the second terminal; generating a short sequence set according to 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. The method forms a complete sequence set by merging the long sequence set and the short sequence set, which contains both the short sequence required by the microgrid and the long sequence required by the power wireless private network, solves the sequence matching problem between the microgrid and the power wireless private network, realizes the fast access between the microgrid and the power wireless private network, and the terminals in the microgrid can realize the cooperative work with the terminals in the power wireless private network. Moreover, the coding complexity of the sequence set is low, and the low-cost demand of the microgrid grid connection under the disaster condition can be met. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the example embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some of the embodiments of the present application, and therefore should not be considered as a limitation to the scope. For those skilled in the art, other related drawings can also be obtained without creative labor. In the drawings:

[0034] Figure 1 An application scenario schematic diagram provided for the embodiments of the present application;

[0035] Figure 2 A flowchart of the sequence generation method for microgrid grid connection provided for the embodiments of the present application;

[0036] Figure 3A structural schematic diagram of a sequence generation device for micro-grid grid connection provided by an embodiment of the present application. DETAILED DESCRIPTION

[0037] In order to make the objects, technical solutions and advantages of the present application clearer, further detailed description will be given to the present application in combination with embodiments and drawings. The illustrative embodiments of the present application and the description thereof are only used to explain the present application and do not limit the present application.

[0038] Before introducing the specific technical solutions of the present application, first, the background technology related to the embodiments of the present application will be introduced.

[0039] In the node network where the micro-grid terminal is located, the data transmission and access have the following characteristics:

[0040] 1. The terminal node access requires a short response time to meet the instant needs of users.

[0041] 2. The data transmission should avoid mutual interference to ensure the reliability of transmission.

[0042] 3. The terminal data transmission should ensure its security.

[0043] At present, the existing access transmission mechanism of the micro-grid terminal network is to transform the signal after identity authentication. If this mechanism is used, due to the network congestion, electromagnetic interference and other factors in the access process, the access speed has a time delay, and the instantaneous access cannot be realized, which cannot meet the instant needs of users. Although the influence of network components, topology structure, routing strategy, network management and construction cost and other factors on the reliability of micro-grid access has been analyzed, the reliability is improved by improving these aspects, but these schemes are to select the same time slot or frequency slot for different terminal nodes to access, and then the conflict may occur, and this conflict will cause frequent mutual interference between nodes.

[0044] 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.

[0045] 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.

[0046] Therefore, embodiments of this application provide a sequence generation method for microgrid grid connection. Please refer to... Figure 1 This 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.

[0047] 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.

[0048] 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.

[0049] S201, Receive the long sequence set sent by the second terminal.

[0050] Specifically, the second terminal can generate a long sequence set by using a linear shift register combination (e.g., L-G model). The long sequence set refers to a sequence with a long period and high correlation, which is used for data transmission of the power wireless private network. When the power wireless private network is in a normal state, the second terminal transmits the long sequence set to other terminals in the power wireless private network, so as to realize data synchronization and communication security. When the power wireless private network fails, the second terminal transmits the long sequence set to the first terminal in the micro network, so that the micro network can realize communication or scheduling access through the long sequence set.

[0051] S202, generating a short sequence set according to the long sequence set.

[0052] In a possible embodiment, the step of generating the short sequence set according to the long sequence set comprises:

[0053] collecting a partial sequence set from the long sequence set; determining a generating function according to the linear relationship of the partial sequence set; and generating the short sequence set according to the partial sequence set and the generating function.

[0054] Specifically, first, a continuous sequence of frequency points is collected from the long sequence set to obtain a partial sequence set. Then, the linear complexity of the partial sequence set is calculated by using the Berlekamp-Massey (BM) algorithm, and the linear complexity is taken as the minimum number of shift registers. According to the principle of shift registers, the corresponding generating function can be obtained. Finally, the short sequence set is obtained by using the generating function on the partial sequence set.

[0055] The generating function is a mathematical representation of generating a specific binary sequence by using a register, for example:

[0056] f(x)=ax%t

[0057] wherein, f(x) the generating function with the independent variable x is represented as a, a is a constant, t is the number of frequency points, and the range of the frequency points is represented as ; and the modulo operation is represented as.

[0058] For example, a sequence segment with a length of 5 is collected from the long sequence set “1044233122013342” to obtain a partial sequence set “42331”, and the number of frequency points is 5. Therefore, the generating function is f (x)=ax%5. Each element in “42331” is multiplied by different constants a (1, 2, 3, and 4), and the results are taken modulo 5, to obtain four sequences: “42331”, “34112”, “21443”, and “13224”. The partial Hamming correlation between the four short sequences is 0, and the performance is very good.

[0059] In a possible embodiment, the step of collecting the partial sequence from the long sequence set comprises:

[0060] determine the sequence period length according to the information capacity of the first terminal;

[0061] collect frequency points of the long sequence set according to the sequence period length, and obtain a partial sequence set.

[0062] Specifically, the numbers in the sequence and the frequency points are in one-to-one correspondence, for example: the 0, 1, 2, 3, 4 in the long sequence set "1044233122013342" correspond to 5 frequency points that increase in turn. The information capacity of the first terminal (usually determined by factors such as bandwidth, transmission rate and modulation mode) determines the range of sequence length that it can support. The greater the information capacity, the wider the range of sequence length that it can support, and the higher the speed and quality of transmission. Therefore, first, the range of sequence length required by the first terminal is determined according to the information capacity of the first terminal, and then according to the sequence length range, a frequency point sequence of a continuous sequence length in the long sequence set is collected to obtain a partial sequence set.

[0063] S203, merge the long sequence set and the short sequence set to obtain a sequence set.

[0064] In one possible embodiment, if any two short sequences in the short sequence set satisfy orthogonality, the long sequence set and the short sequence set are directly merged to obtain a sequence set.

[0065] 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 according to 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.

[0066] In the embodiments of the present application, after the first terminal generates the short sequence set, the generating function can be corrected according to the orthogonality between any two short sequences in the short sequence set, so as to ensure that any two sequences in the short sequence set satisfy orthogonality and avoid mutual interference or redundancy between sequences.

[0067] S204, send the sequence set to other terminals in the micro network.

[0068] Specifically, after the first terminal generates the sequence set, the first terminal can send the sequence set to other terminals in the micro network.

[0069] It should be noted that all sequences should in principle satisfy the following requirements:

[0070] (1) The long sequences should satisfy good partial Hamming correlation characteristics;

[0071] (2) The short sequences should satisfy good periodic Hamming correlation characteristics;

[0072] (3) The short sequence and the long sequence should satisfy the good local Hamming correlation characteristic with the length of the short sequence period;

[0073] (4) The number of the sequences should be as large as possible;

[0074] (5) The randomness of the sequences should be as good as possible.

[0075] The complete generation process of the sequence set is introduced as follows.

[0076] S1.1, Construct a long sequence set.

[0077] Select a prime power q and n ≤ q-1, and generate the long sequence set A as follows:

[0078] A={A 0 ,A 1 ,…,A q-1}

[0079] Wherein, A represents the long sequence set; A i represents the i-th long sequence in the long sequence set, i=0,1,…,q-1, q represents a prime number; A i The expression of A

[0080]

[0081] Wherein, represents the j-th element of the i-th long sequence in the long sequence set, j=0,1,…,q n -2; The calculation formula of A

[0082]

[0083] Wherein, α j represents the j-th generator of GF( q n ); tr( x ) represents the trace function from GF( q n ) to GF( q ); GF( q ) represents a finite field containing q elements, GF( q n ) represents a finite field containing q n elements, n is a positive integer.

[0084] S1.2, Construct Lagrange interpolation function.

[0085]

[0086] wherein, f k (x) represents the kth Lagrange interpolation function, Lambda i and Lambda j are two different non-zero elements in GF(q); q are q-1 two-by-two different non-zero elements. S1.3, generating a short sequence set.

[0087]

[0088] wherein, B represents a short sequence set,

[0089] k represents the mth short sequence in the short sequence set, B k , , q represents a prime number; B k The expression of B is as follows:

[0090]

[0091] S1.4, generating a sequence set.

[0092]

[0093] wherein, C represents a sequence set, A represents a long sequence set, and B represents a short sequence set.

[0094] According to the above sequence generation process, it can be seen that:

[0095] (1) The sequence generated by the above method is generated based on the trace function, so the randomness of the sequence is guaranteed;

[0096] (2) The number of sequences is affected by the parameter n, which can make the number very large;

[0097] (3) The generation method is based on linear function, so the encoding complexity is low and the operation speed is fast.

[0098] In a possible embodiment, if the long sequence set contains q sequences with length q n -1, then the partial Hamming correlation of the long sequence set is when the relevant window size is​​ ; wherein, q is a prime number, and n is a positive integer.

[0099] Specifically, the long sequence set A contains q sequences with length q n -1, A i and A j The partial Hamming correlation of the long sequence set A is:

[0100]

[0101] wherein, and .

[0102] (1) When i = j and , it can be obtained that , and .

[0103] (2) When i ≠ j and , it is obvious that , and .

[0104] (3) When i ≠ j and , according to the characteristics of the trace function, there are and only have solutions on the value of . Therefore, .

[0105] In summary, the partial Hamming correlation of the long sequence set A is when the correlation window size is .

[0106] In the embodiments of the present application, if the similarity of different long sequences is high, it may cause signal interference or conflict, affecting the stability and accuracy of data transmission. Satisfying good partial Hamming correlation between long sequences means that the difference between different sequences is large, which can reduce such interference and ensure the clarity and reliability of data transmission.

[0107] In one possible embodiment, if the short sequence set contains sequences with length q-1, the maximum periodic Hamming correlation of the short sequence set is not more than n.

[0108] Specifically, the short sequence set B contains sequences with length q-1, B i and B j The partial Hamming correlation of the short sequence set B is: ​The periodic hamming correlation when is:

[0109]

[0110] (1) When i = j and , by the properties of the trace function, there are at most solutions for the value of n . Therefore .

[0111] (2) When i ≠ j, by the same reasoning, there are also at most solutions for the value of n . Therefore .

[0112] In summary, the maximum periodic hamming correlation of the sequences in the short sequence set B is n .

[0113] In the embodiments of the present application, the periodic hamming correlation of the short sequences describes the difference between the short sequences in the periodic repetition mode. Good periodic hamming correlation means that the short sequences will not overlap or conflict unexpectedly, thereby improving the overall transmission efficiency.

[0114] In one possible embodiment, the local hamming correlation between the sequences in the long sequence set and the short sequence set is no more than n in length q-1.

[0115] Specifically, for the sequence A i in the long sequence set A and the sequence B j in the short sequence set B, the local hamming correlation between them when the relative time delay is is:

[0116]

[0117] Similarly, the local hamming correlation between the sequences in the long sequence set A and the short sequence set B is no more than n in length q-1.

[0118] In the embodiments of the present application, the local hamming correlation between the long sequences and the short sequences refers to the similarity between them in a specific period length. Good local hamming correlation ensures that the relationship between the long sequences and the short sequences remains consistent within the period, thereby improving the data transmission consistency of the entire network. It helps to ensure that the long sequences and the short sequences can be correctly synchronized and transmitted in the micro network.

[0119] In order to more clearly illustrate the hamming correlation between the long sequences and the short sequences, examples are given below for detailed description. In order to more clearly illustrate the hamming correlation between the long sequences and the short sequences, examples are given below for detailed description.

[0120] Let q=11, n =3, The long sequence set A can be obtained as follows:

[0121]

[0122] The short sequence set B is obtained as follows:

[0123]

[0124] 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.

[0125] 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.

[0126] 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:

[0127] The receiving module is used to receive a long sequence set sent by the second terminal;

[0128] The generation module is used to generate a short sequence set based on the long sequence set;

[0129] The merging module is used to merge long sequence sets and short sequence sets to obtain a sequence set.

[0130] The sending module is used to send the sequence set to other terminals in the micronet.

[0131] Optionally, the generation module is specifically used for:

[0132] A partial sequence set is collected from a long sequence set;

[0133] Determine the generating function based on the linear relationship of a partial sequence set;

[0134] Generate a short sequence set based on a partial sequence set and a generating function.

[0135] Optionally, the generation module is specifically used for:

[0136] The sequence period length is determined based on the information capacity of the first terminal;

[0137] Based on the sequence period length, frequency sampling is performed on long sequence sets to obtain partial sequence sets.

[0138] The merging module is specifically used for:

[0139] 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;

[0140] 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.

[0141] 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 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] In some embodiments, the executable instructions can take the form of programs, software, software modules, scripts, or code, written in any form of programming language, including compiled or interpreted languages, or declarative or procedural languages; and they can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.

[0148] By way of example, the executable instructions can, but need not, correspond to a file in a file system, can be stored in a portion of a file that holds other programs or data, e.g., one or more scripts stored in a markup language document, in a single file dedicated to the program in question, or in multiple coordinated files, e.g., files that store one or more modules, sub programs, or portions of code.

[0149] By way of example, the executable instructions can be stored on the one or more computer- readable storage media of a server and adapted to be transferred using, for example, one or more application

[0150] It is to be appreciated that the term "include," "comprise," or variations thereof, as used in this document, is intended to cover the case of non-exclusive inclusion, such that a process, method, article, or system that includes a list of elements is not necessarily limited to only those elements, but can include other elements not expressly listed or inherent to such process, method, article, or system.

[0151] The above-mentioned sequence numbers of the embodiments of the present application are only for description, and do not represent advantages or disadvantages of the embodiments.

[0152] The above detailed description merely describes exemplary embodiments of the application, and is not intended to limit the scope of the application. The description of the exemplary embodiments is intended to be illustrative, and not to limit the scope of the application. Various modifications made to the embodiments of the application in accordance with the spirit of the application can be made by those skilled in the art, and the modified embodiments should fall within the scope of the application. Therefore, the scope of the application should be determined by the following claims.

Claims

1. A sequence generation method for microgrid grid-connection, characterized in that, A first terminal applied to a microgrid, the first terminal being connected with a second terminal in a power wireless private network; the method comprises: receiving a long sequence set sent by the second terminal; collecting a partial sequence set from the long sequence set; determining a generating function according to a linear relationship of the partial sequence set; generating a short sequence set according to the partial sequence set and the generating function; if two short sequences in the short sequence set do not satisfy orthogonality, correcting the generating function to obtain a corrected generating function; generating a new short sequence set according to the partial sequence set and the corrected generating function until any two short sequences in the new short sequence set satisfy orthogonality; taking a union of the short sequence set satisfying pairwise orthogonality and the long sequence set to obtain a merged sequence set; and sending the sequence set to other terminals in the microgrid; If the long sequence set contains q sequences of length q n -1, then the partial Hamming correlation of the long sequence set with a correlation window size of is ; where q is a prime number and n is a positive integer; if the short sequence set contains sequences of length q -1, then the maximum periodic Hamming correlation of the short sequence set is no more than n; the local Hamming correlation of the sequences between the long sequence set and the short sequence set with length q -1 is no more than n.

2. The sequence generation method for microgrid grid-tie according to claim 1, characterized in that, the collecting a partial sequence set from the long sequence set comprises: determining a sequence period length according to an information capacity of the first terminal; performing frequency collection on the long sequence set according to the sequence period length to obtain a partial sequence set.

3. A sequence generating device for microgrid grid integration, characterized in that A first terminal arranged in a microgrid, the first terminal being connected with a second terminal in a power wireless private network; the device comprises: a receiving module configured to receive a long sequence set sent by the second terminal; a generating module configured to collect a partial sequence set from the long sequence set; determine a generating function according to a linear relationship of the partial sequence set; and generate a short sequence set according to the partial sequence set and the generating function; a merging module configured to, if two short sequences in the short sequence set do not satisfy orthogonality, correct the generating function to obtain a corrected generating function; generate a new short sequence set according to the partial sequence set and the corrected generating function until any two short sequences in the new short sequence set satisfy orthogonality; and take a union of the short sequence set satisfying pairwise orthogonality and the long sequence set to obtain a merged sequence set; a sending module configured to send the sequence set to other terminals in the microgrid; If the long sequence set contains q sequences of length q n -1, then the partial Hamming correlation of the long sequence set with a correlation window size of is ; where q is a prime number selected, and n is a positive integer; if the short sequence set contains sequences of length q -1, then the maximum periodic Hamming correlation of the short sequence set does not exceed n; the local Hamming correlation between the sequences of the long sequence set and the short sequence set with a length of q -1 does not exceed n.

4. A computer device, comprising: the computer device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the sequence generation method for microgrid grid connection according to any one of claims 1 or 2.

5. 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 the sequence generation method for microgrid grid connection according to any one of claims 1 or 2.

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