A method, device, equipment and medium for automatically generating power grid operation mode rules

Abstract

The present invention discloses a method, device, equipment and medium for automatically generating power grid operation mode rules. The method includes the following steps: describing the power grid stability region with a hyperplane equation in a spatial coordinate system to form a convex polyhedron of the stability region; describing the power grid stability region with a spatial cube in the spatial region surrounded by the convex polyhedron of the stability region to form a spatial cube stability region; and making the spatial coordinate points composed of cross-sectional power serve as power grid operation mode rules within the spatial cube stability region. The method for automatically generating power grid operation mode rules provided by the present invention first accurately describes the power grid stability region with a hyperplane equation, and in order to improve the practicality of the rules, uses a spatial cube to describe the power grid stability region to generate operation mode rules. Based on the power grid stability region description method, the power grid stability region is reasonably described and then rules are formed, which can automatically generate power grid operation mode rules and save the work of manual calculation.

Description

Technical Field

[0001] The present invention belongs to the field of large power grid stabilization and control, and specifically relates to a method, device, equipment and medium for automatically generating power grid operation mode rules. Background Art

[0002] Calculating grid operation modes is a crucial tool for grid regulation and operation. Verifying the rationality of manually formulated rules and reducing workload has become a key concern for operators. In recent years, with the advent of the "dual carbon" goals, renewable energy sources such as wind and photovoltaic power have rapidly developed. Simultaneously, to adapt to the development of new power systems dominated by renewable energy, grid operation modes have become increasingly complex and diverse. This has resulted in a significant amount of repetitive and intensive work for operators. The need to quantitatively and efficiently analyze complex and changing operating modes while reducing workload is increasingly pressing.

[0003] Currently, grid operation and dispatching personnel use offline methods to calculate and formulate grid operation rules. As the grid structure and calculation input conditions change, each calculation task involves a large amount of repetitive and high-intensity work. Summary of the Invention

[0004] The purpose of the present invention is to provide a method, device, equipment and medium for automatically generating power grid operation mode rules, so as to solve the problem in the prior art that power grid operation dispatchers use offline methods to calculate and formulate power grid operation mode rules, which is labor-intensive.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A first aspect of the present invention provides a method for automatically generating power grid operation mode rules, comprising the following steps:

[0007] The grid stability region is constructed using a hyperplane equation in a spatial coordinate system to form a convex polyhedron of the stability region;

[0008] A power grid stability region is constructed using a spatial cube in the space region surrounded by the convex polyhedron of the stability region, thereby forming a spatial cube stability region;

[0009] The spatial coordinate points composed of the cross-sectional power are made to be within the stable region of the spatial cube as a rule of the power grid operation mode.

[0010] As an optional technical solution of the present invention, in the step of constructing a grid stability region using a hyperplane equation in a spatial coordinate system to form a convex polyhedron of the stability region, the grid stability region is constructed using m groups of hyperplane equations as follows:

[0011]

[0012] Among them, ω and x are both n-dimensional column vectors, x=(x1,x2,...,x n ) is a point on the hyperplane, ω={ω1,x2,...ω n} is the normal vector of the plane, and the real number b represents the distance between the hyperplane and the origin.

[0013] As an optional technical solution of the present invention, in the step of using a spatial cube to construct a power grid stability area in the spatial area surrounded by the convex polyhedron of the stability area, and forming a spatial cube stability area, the spatial cube stability area is a spatial area surrounded by m n-dimensional spatial cubes.

[0014] As an optional technical solution of the present invention, the spatial area surrounded by the m n-dimensional spatial cubes, wherein the spatial area surrounded by the j-th spatial cube is determined by the following formula.

[0015] {D∈D j |min{d i1 ,d i2 ,...,d in}}≤p j-i ≤{D∈D j |max{d i1 ,d i2 ,...,d in}}

[0016] Where: j∈[1,m], i∈[1,n]. D j is the j-th space cube vertex point set, and its vertex D coordinate is (d i1 ,d i2 ,…,d in ).p j-i is the power value of the i-th dimension section of the j-th space cube.

[0017] As an optional technical solution of the present invention, the step of constructing a power grid stability region using a spatial cube in the spatial region surrounded by the convex polyhedron of the stability region to form the spatial cube stability region specifically includes:

[0018] In the cross-sectional power space, the cross-sectional power of each dimension is divided into power grades, and the vertices formed by the graded cross-sectional power of each dimension constitute the minimum research unit cube;

[0019] The minimum research unit cube whose vertices are within the convex polyhedron in the stable region is taken as the minimum research unit cube that meets the requirements, and the minimum research unit cubes that meet the requirements constitute the spatial cube stable region.

[0020] As an optional technical solution of the present invention, in the step of forming the space composed of all the minimum research unit cubes into the space cube stable area, all the minimum research unit cubes that meet the requirements are spliced ​​together to obtain the space cube stable area.

[0021] A second aspect of the present invention provides a device for automatically generating power grid operation mode rules, comprising:

[0022] A first stable region generating module is used to construct a power grid stable region using a hyperplane equation in a spatial coordinate system to form a stable region convex polyhedron;

[0023] A second stable region generating module is configured to construct a power grid stable region using a spatial cube within a spatial region surrounded by the stable region convex polyhedron, thereby forming a spatial cube stable region;

[0024] The rule generation module is used to make the space coordinate points composed of the cross-sectional power within the stable area of ​​the space cube serve as the grid operation mode rules.

[0025] As an optional technical solution of the present invention, the first stable region generating module is specifically configured to construct a power grid stable region using m groups of hyperplane equations, as shown in the following formula:

[0026]

[0027] Among them, ω and x are both n-dimensional column vectors, x=(x1,x2,...,x n ) is a point on the hyperplane, ω={ω1,ω2,...ω n} is the normal vector of the plane, and the real number b represents the distance between the hyperplane and the origin.

[0028] As an optional technical solution of the present invention, in the second stable region generating module, the constructed spatial cube stable region is a spatial region surrounded by an n-dimensional spatial cube.

[0029] As an optional technical solution of the present invention, in the space area surrounded by the n-dimensional space cube, the space area surrounded by the j-th space cube is as follows:

[0030] {D∈D j |min{d i1 ,d i2 ,...,d in}}≤p j-i ≤{D∈D j |max{d i1 ,d i2 ,...,d in}}

[0031] Where: j∈[1,m], i∈[1,n]; D j is the j-th space cube vertex point set, and its vertex D coordinate is (d i1 ,d i2 ,…,d in );p j-i is the power value of the i-th dimension section of the j-th space cube.

[0032] As an optional technical solution of the present invention, the second stable area generation module is specifically used to perform power grading on the cross-sectional power of each dimension in the cross-sectional power space, and the vertices formed by the grading of the cross-sectional power of each dimension constitute the minimum research unit cube; the minimum research unit cube with the vertex in the convex polyhedron of the stable area is used as the minimum research unit cube that meets the requirements, and the minimum research unit cube that meets the requirements constitutes the spatial cube stable area.

[0033] As an optional technical solution of the present invention, in the second stable area generation module, the space composed of the minimum research unit cubes that meet the requirements constitutes the spatial cube stable area, and all the minimum research unit cubes that meet the requirements are spliced ​​together to obtain the spatial cube stable area.

[0034] According to a third aspect of the present invention, an electronic device is provided, comprising a processor and a memory, wherein the processor is configured to execute a computer program stored in the memory to implement the above-mentioned method for automatically generating grid operation mode rules.

[0035] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the method for automatically generating power grid operation mode rules is implemented.

[0036] The beneficial effects of the present invention are as follows:

[0037] The method for automatically generating grid operation mode rules, provided by this invention, first accurately describes the grid's stable region using hyperplane equations. To improve the practicality of the rules, a spatial cube is used to describe the grid's stable region and generate the operation mode rules. Based on this method for describing the grid's stable region, a reasonable description of the grid's stable region is used to form rules. This method can automatically generate grid operation mode rules, saving manual calculation work. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are intended to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings:

[0039] Figure 1 Schematic diagram of the IEEE-39 node system wiring diagram and cross-section definition in an embodiment of the present invention;

[0040] Figure 2 Schematic diagram of a 39-machine system space cube in an embodiment of the present invention, wherein (a) is a "100-100-100" MW power gear; (b) is a "100-100-50" MW power gear;

[0041] Figure 3 This is an example diagram of an implementation of a method for automatically generating operating mode rules in an embodiment of the present invention;

[0042] Figure 4 This is a schematic diagram of a cross section of a power grid in a certain area according to an embodiment of the present invention;

[0043] Figure 5 Schematic diagram of a flow chart of a method for automatically generating power grid operation mode rules according to an embodiment of the present invention;

[0044] Figure 6 This is a schematic diagram of a process for describing a stable area of ​​a power grid using a spatial cube in an embodiment of the present invention;

[0045] Figure 7 This is a structural block diagram of a device for automatically generating power grid operation mode rules according to the present invention;

[0046] Figure 8 This is a structural block diagram of an electronic device of the present invention. DETAILED DESCRIPTION

[0047] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0048] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise indicated, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0049] Example 1

[0050] like Figure 5 As shown, this embodiment 1 provides a method for automatically generating power grid operation mode rules, including the following steps:

[0051] S1. Describe the stable region of the power grid with a hyperplane equation in the spatial coordinate system, that is, construct a convex polyhedron of the stable region.

[0052] It should be noted that the hyperplane equation in N-dimensional space is determined by formula (1), where ω and x are both n-dimensional column vectors, x = (x1, x2, ..., x n ) is a point on the hyperplane, ω={ω1,ω2,...ω n} is the normal vector of the plane, and the real number b represents the distance between the hyperplane and the origin.

[0053] ω T x+b=0 (1)

[0054] As a specific example, when the number of sections to be studied is 3, that is, when n=3, the format of the hyperplane equation in three-dimensional space is as follows:

[0055] Ax+By+Cz+D=0 (2)

[0056]

[0057] Where (A, B, C) are the elements of the normal vector ω, x, y, and z are the coordinates of the sample in the space outside the cross-sectional power, and the constant D is determined by equation (3). The parameters of the n-dimensional hyperplane equation are obtained in the same way.

[0058] Therefore, in this embodiment, the grid stability region is described by m groups of hyperplane equations as follows:

[0059]

[0060] Among them, ω and x are both n-dimensional column vectors, x=(x1,x2,...,x n ) is a point on the hyperplane, ω={ω1,ω2,...ω n} is the normal vector of the plane, and the real number b represents the distance between the hyperplane and the origin.

[0061] In summary, the stable region convex polyhedron can be described by m sets of hyperplane equations. Therefore, under the current description method, the criterion for safe and stable operation of the system is: the spatial coordinate points composed of cross-sectional power are within the spatial region enclosed by the stable region convex polyhedron.

[0062] S2. Use a space cube to describe the power grid stability region in the space region surrounded by the convex polyhedron of the stability region, that is, construct a space cube stability region.

[0063] like Figure 6 As shown in Figure 1, a space cube is used to describe the grid stability region. The steps to form a space cube stability region are as follows:

[0064] S21. In the constructed cross-sectional power space, the cross-sectional power of each dimension is divided into power bins as needed to segment the stable region space. The vertices formed by the bins of the cross-sectional power of each dimension constitute the minimum research unit cube.

[0065] S22. Check whether the vertices of the minimum research unit cube are within the convex polyhedron of the stable region. If the vertices are within the convex polyhedron of the stable region, according to the principle of vertex uniqueness of triangulation, it is a minimum research unit cube that meets the requirements. This can be used to formulate operation mode rules. Minimum research unit cubes that meet the requirements are spliced ​​together to form the spatial cube stable region.

[0066] Under the current description method, the stable region can be described by n spatial cubes. That is, the spatial cube stable region is the spatial region enclosed by the n-dimensional spatial cube. Therefore, the criterion for safe and stable operation of the system is that the spatial coordinate point composed of the cross-sectional power is within the spatial cube stable region.

[0067] It should be noted that the spatial cube method of describing the stable region can be expressed as a spatial region surrounded by m groups of n-dimensional spatial cubes in the spatial coordinate system, and the spatial region surrounded by the j-th spatial cube is determined by formula (5).

[0068] {D∈D j |min{d i1 ,d i2 ,...,d in}}≤p j-i ≤{D∈D j |max{d i1 ,d i2 ,...,d in}} (5)

[0069] Where: j∈[1,m], i∈[1,n]. D j is the j-th space cube vertex point set, and its vertex D coordinate is (d i1 ,d i2 ,…,d in ).p j-i is the power value of the i-th dimension section of the j-th space cube.

[0070] S3. Make the spatial coordinate points composed of the cross-sectional power within the stable region of the spatial cube as the grid operation mode rule.

[0071] Through steps S1 to S3, the grid operation mode can be automatically generated, eliminating the need for grid operators to calculate and formulate grid operation mode rules offline, which is labor-intensive. Furthermore, the present invention can be further applied to grid stability analysis methods such as verifying the validity of current grid operation mode rules and formulating detailed section power control rules.

[0072] To further explain this embodiment, the effectiveness of the method for automatically generating grid operation mode rules proposed in Example 1 of the present invention is verified below:

[0073] like Figure 1 As shown, the IEEE 10-machine 39-node system is taken as an example.

[0074] The sample generation method uses a program to identify text files containing unit status information and randomly modify the output power of the operating units within the upper and lower output limits, while maintaining the load power constant. Ultimately, after grid-wide power balancing, 2,000 converged simulation samples were obtained. The Power System Analysis Software Package (PSASP) was then used to perform an N-1 line thermal stability check, generating 2,000 simulation sample sets containing stability judgment results. After filtering out 56 invalid data sets with base-state over-limit conditions, a final set of 903 valid N-1 thermal stability samples and 1,041 instability samples was obtained.

[0075] The stable region of this example is described by a set of hyperplane equations. The stable region of the 39-machine system under the current load level can be described by 48 sets of hyperplane equations.

[0076] Therefore, according to formula (4), the operating rules of the 39-machine system in the form of hyperplane equations under the current load level are shown in Table 1.

[0077] Analyzing the results in Table 1, the 48 sets of hyperplane equations accurately describe the stable region. There are no unstable samples within this region, and all vertices are supported by stable samples, indicating a strong rule reliability. Ultimately, the safe and stable operation of the power system is controlled by verifying whether the spatial coordinates of the cross-sectional power components meet the stability requirements of the 48 sets of hyperplane equations.

[0078] Table 1. Rules for the operation mode of the hyperplane equation form of the 39-machine system

[0079]

[0080]

[0081] To enhance the practicality of the rule, based on the above stable region, each dimension is divided into 100MW (100-100-100MW) power bins, and the 3D cross-sectional power space is cut. A total of 105 minimum research unit cubes are generated, and the number of vertices of each minimum research unit cube is 8. After relative position judgment, a minimum research unit cube located in the stable region is obtained. The operation rules of the spatial cube form are shown in Table 2(a), and the spatial schematic diagram of the rule is shown in Figure 2 As shown in (a).

[0082] In order to perform more precise cross-sectional power classification, the power classification is performed in 100MW in the "length-width" dimension and 50MW in the "height" dimension (100-100-50MW), and the three-dimensional cross-sectional power outer space is cut. A total of 175 minimum research unit cubes are generated, and the number of vertices of each minimum research unit cube is 8. After relative position judgment, 5 minimum research unit cubes located in the stable area are obtained. The cubes are spliced ​​to obtain the spatial cube form operation mode rules as shown in Table 2(b), and the regular space schematic diagram is shown in Figure 2 (b) shown.

[0083] Table 2 Rules for the operation mode of the 39-machine system space cube form

[0084] Table 2(a) “100-100-100” MW power range

[0085]

[0086] Table 2(b) “100-100-50” MW power range

[0087]

[0088] Analyzing the results in Table 2, the section's operating power limit at the current load level can be derived from the endpoints of the section's power control interval. This value can be used to verify the currently manually formulated operating mode rules. By considering the inter-coupling effects between transmission sections, detailed power control rules for multiple transmission sections can be obtained simultaneously, increasing the comprehensiveness of the rules. The rules in Table 2 can be even more accurate when more refined power grading is implemented.

[0089] like Figure 3 As shown, the following provides an implementation flow of a specific embodiment of the method for automatically generating power grid operation mode rules proposed in Example 1 of the present invention.

[0090] First, input the initial sample set and divide the initial sample set into the unstable sample set R F and stable sample set R T For the unstable sample set, the Lawson algorithm is used to process it and the vertex point set of the unstable multi-convex surface R is obtained.FD , then the stable sample set R T Stable sample R in i and the vertex set R of the unstable polyconvex FD Perform Lawson algorithm processing. Determine R i Is it a vertex of the new convex polyhedron? If not, end; if so, generate a stable region sample point R Ti , from the stable region sample point R Ti Get the stable region point set R TT , and then we get the stable region convex polyhedron as the hyperplane equation form rule. Based on the hyperplane equation form rule, we cut the stable region convex polyhedron to get the minimum research unit cube, and change the vertex R of the minimum research unit cube to j and the vertex set R of the convex polyhedron in the stable region TDi Use Lawson algorithm to determine the vertex R of the smallest research unit cube j Is it a vertex of the new convex polyhedron? If so, end; if not, the minimum research unit cube is located in the stable area, and the minimum research unit cube is formed into a power grid operation mode rule.

[0091] Specifically, the sample generation process used the high-load summer operation mode of a regional power grid in 2021 as the parent sample. The sample generation method used a program to identify unit status text files, selectively switching generator groups on and off, and modifying the output power of the operating units within the upper and lower limits of the unit output. The load power was simultaneously varied between 1 and 1.5. After power balancing across the entire network, 10,000 converged simulation samples were obtained. Subsequently, after an N-1 stability check, a set of 8,050 stable samples and 1,950 unstable samples were obtained.

[0092] like Figure 4 As shown, a set of hyperplane equations is used to describe the stable area of ​​the example. The stable area of ​​a regional power grid under high-load operation in summer can be described by 5620 sets of hyperplane equations. In order to enhance the practicality of the rule, based on the above-mentioned stable area, the cross-section power grading values ​​are calculated for the actual offline mode of a regional power grid. In order to perform cross-section power grading more finely, the present invention cuts the 5-dimensional space outside the cross-section with 200MW as the minimum power gear in each dimension. A total of 65,340 minimum research unit cubes are generated, and the number of vertices of each minimum research unit cube is 32. After relative position judgment, 304 minimum research unit cubes located in the stable area are obtained, which together constitute the operation mode rules in the form of space cubes. Here, the upper limit value of the cross-section power operation that the dispatchers are most concerned about in the display rules is displayed. Five extreme operation mode rules are selected, as shown in Table 3 below.

[0093] Analyzing the results in Table 3, under the conditions that the five selected key sections all meet the safety and stability constraints and the section power constraints, the operating upper limit values ​​of inter-provincial transmission sections 3, 4, and 5 are 1800MW, 600MW, and 1800MW respectively. Based on the complete 304 spatial cube operating mode rules, the power control details of the relevant sections can also be obtained. The sections to be studied in the method of the present invention can be selected according to the needs of the method calculation project, which meets the requirements of the national dispatching center and the provincial operating mode rule formulation, and enhances the practicality of the method of the present invention.

[0094] Table 3 Rules for the extreme operation mode of the spatial cube form of a regional power grid

[0095]

[0096] Example 2

[0097] like Figure 7 As shown, this embodiment 2 is based on the same inventive concept as embodiment 1, and further provides a device for automatically generating power grid operation mode rules, including:

[0098] The first stable region generating module is used to describe the stable region of the power grid by using a hyperplane equation in a spatial coordinate system to form a convex polyhedron of the stable region.

[0099] Specifically, the first stable region generating module is specifically configured to construct a power grid stable region using m groups of hyperplane equations, as shown in the following formula:

[0100]

[0101] Among them, ω and x are both n-dimensional column vectors, x=(x1,x2,...,x n ) is a point on the hyperplane, ω={ω1,ω2,...ω n} is the normal vector of the plane, and the real number b represents the distance between the hyperplane and the origin.

[0102] The second stable region generating module is configured to describe the power grid stable region by using a spatial cube in the spatial region surrounded by the stable region convex polyhedron, so as to form a spatial cube stable region.

[0103] Specifically, in the second stable region generating module, the constructed space cube stable region is a space region surrounded by an n-dimensional space cube.

[0104] In the space area enclosed by the n-dimensional space cube, the space area enclosed by the j-th space cube is as follows:

[0105] {D∈D j |min{d i1 ,di2 ,...,d in}}≤p j-i ≤{D∈D j |max{d i1 ,d i2 ,...,d in}}

[0106] Where: j∈[1,m], i∈[1,n]; D j is the j-th space cube vertex point set, and its vertex D coordinate is (d i1 ,d i2 ,…,d in );p j-i is the power value of the i-th dimension section of the j-th space cube.

[0107] The second stable area generation module is specifically used to perform power grading on the cross-sectional power of each dimension in the cross-sectional power space, and the vertices formed by the grading of the cross-sectional power of each dimension constitute the minimum research unit cube; the minimum research unit cube with the vertex in the convex polyhedron of the stable area is used as the minimum research unit cube that meets the requirements, and the minimum research unit cube that meets the requirements constitutes the said spatial cube stable area.

[0108] Specifically, in the second stable region generating module, the space composed of the minimum research unit cubes that meet the requirements constitutes the spatial cube stable region, and all the minimum research unit cubes that meet the requirements are spliced ​​together to obtain the spatial cube stable region.

[0109] The rule generation module is used to make the space coordinate points composed of the cross-sectional power within the stable area of ​​the space cube serve as the grid operation mode rules.

[0110] Example 3

[0111] like Figure 8 As shown, this embodiment 3 is based on the same inventive concept as embodiment 1 and further provides an electronic device 100 for implementing a method for automatically generating power grid operation mode rules according to embodiment 1. Electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in memory 101 and executable on at least one processor 102, and at least one communication bus 104. Memory 101 may be used to store computer program 103. Processor 102 implements the steps of the method for automatically generating power grid operation mode rules according to embodiment 1 by running or executing the computer program stored in memory 101 and calling data stored in memory 101.

[0112] The memory 101 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data (such as audio data) created according to the use of the electronic device 100. In addition, the memory 101 may include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device.

[0113] The at least one processor 102 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor. The processor 102 is the control center of the electronic device 100 and connects various parts of the entire electronic device 100 using various interfaces and lines.

[0114] The memory 101 in the electronic device 100 stores a plurality of instructions to implement a method for automatically generating grid operation mode rules. The processor 102 can execute the plurality of instructions to implement:

[0115] The grid stability region is described by a hyperplane equation in a spatial coordinate system, forming a convex polyhedron of the stability region;

[0116] A space cube is used to describe the power grid stability region in the space region surrounded by the stability region convex polyhedron, thereby forming a space cube stability region;

[0117] The spatial coordinate points composed of the cross-sectional power are made to be within the stable region of the spatial cube as a rule of the power grid operation mode.

[0118] Example 4

[0119] If the module / unit integrated in the electronic device 100 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. Computer-readable media may include: any entity or device that can carry computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory and read-only memory (ROM, Read-Only Memory).

[0120] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0121] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0122] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0123] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0124] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A method for automatically generating power grid operation mode rules, characterized in that: The steps include: The grid stability region is constructed using hyperplane equations in the spatial coordinate system to form a convex polyhedron of the stability region. The grid stability region is constructed using m groups of hyperplane equations, as shown in the following formula: Among them, ω and x are both n-dimensional column vectors, x=(x1,x2,...,x n ) is a point on the hyperplane, ω={ω1,ω2,...,ω n } is the normal vector of the plane, and the real number b represents the distance between the hyperplane and the origin; A power grid stability region is constructed using a spatial cube in a spatial region enclosed by a convex polyhedron in a stable region, forming a spatial cube stability region, including: performing power grading on the cross-sectional power of each dimension in the cross-sectional power space, and forming a minimum research unit cube from vertices formed by the grading of the cross-sectional power of each dimension; the minimum research unit cube whose vertex is within the convex polyhedron in the stable region is used as the minimum research unit cube that meets the requirements, and the minimum research unit cubes that meet the requirements constitute a spatial cube stability region; wherein the spatial cube stability region is a spatial region enclosed by an n-dimensional spatial cube; The spatial coordinate points composed of cross-sectional power are made to be within the stable region of the spatial cube as the rule of the power grid operation mode; In the space area enclosed by the n-dimensional space cube, the space area enclosed by the j-th space cube is as follows: {D∈D j |min{d i1 ,d i2 ,...,d in }}≤p j-i ≤{D∈D j |max{d i1 ,d i2 ,...,d in }}Where: j∈[1,m], i∈[1,n]; D j is the j-th space cube vertex point set, and its vertex D coordinate is (d i1 ,d i2 ,…,d in );p j-i is the power value of the i-th dimension section of the j-th space cube; In the step of forming a space cube stable region with minimum research unit cubes that meet the requirements, all minimum research unit cubes that meet the requirements are spliced ​​together to obtain the space cube stable region.

2. A device for automatically generating power grid operation mode rules, used to implement the method for automatically generating power grid operation mode rules according to claim 1, characterized in that: include: A first stable region generating module is used to construct a power grid stable region using a hyperplane equation in a spatial coordinate system to form a stable region convex polyhedron; A second stable region generating module is configured to construct a power grid stable region using a spatial cube within a spatial region surrounded by the stable region convex polyhedron, thereby forming a spatial cube stable region; The rule generation module is used to make the space coordinate points composed of the cross-sectional power within the stable area of ​​the space cube serve as the grid operation mode rules.

3. The automatic generation device for power grid operation mode rules according to claim 2, characterized in that: The second stable area generation module is specifically used to perform power grading on the cross-sectional power of each dimension in the cross-sectional power space, and the vertices formed by the grading of the cross-sectional power of each dimension constitute the minimum research unit cube; the minimum research unit cube with the vertex in the convex polyhedron of the stable area is used as the minimum research unit cube that meets the requirements, and the minimum research unit cube that meets the requirements constitutes the spatial cube stable area.

4. An electronic device, characterized in that: The system comprises a processor and a memory, wherein the processor is used to execute a computer program stored in the memory to implement the method for automatically generating power grid operation mode rules as claimed in claim 1.

5. A computer-readable storage medium, characterized in that The computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the method for automatically generating power grid operation mode rules according to claim 1 is implemented.

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