Industrial complex adjustable capacity determination method and device, storage medium and computer equipment

Abstract

The invention relates to the technical field of power system dispatching operation, and particularly provides an industrial complex adjustable capacity determination method and device, a storage medium and computer equipment. According to the method, the approximation degree of the candidate vertex relative to the capacity-adjustable two-dimensional region boundary can be determined according to the centroid coordinate of the initial polygon, so that whether the currently searched candidate node is close to the effective convex hull vertex of the capacity-adjustable two-dimensional region boundary or not is evaluated; and whether an approximate two-dimensional polygon which meets the error range requirement and can truly reflect the adjustable capacity of the industrial complex is obtained or not is judged. According to the method, evaluation is carried out based on the centroid coordinates of the initial polygon, the adjustable capacity of the industrial complex can be determined more accurately, the industrial complex can deeply participate in dispatching of a power grid system based on the determined adjustable capacity, the new energy consumption level is improved, and the system safely and efficiently runs.

Description

Technical Field

[0001] This application relates to the field of power system dispatching and operation technology, and in particular to a method, apparatus, storage medium and computer equipment for determining the adjustable capacity of an industrial complex. Background Technology

[0002] Against the backdrop of new power system construction, the penetration rate of centralized and distributed renewable energy is continuously increasing. Fully utilizing the adjustable resources of the entire system to improve the level of renewable energy consumption and utilization is a practical problem facing power grid dispatch. With the accelerated construction of new power systems, considering only the resources on the power generation and grid sides is no longer sufficient to meet the requirements for safe and efficient system operation. The flexible adjustment value of demand-side resources urgently needs to be released. Because industrial loads have advantages such as large scale, good regularity, and strong controllability, their adjustment potential is enormous, making them a priority area for demand-side resource utilization. A thorough and reasonable assessment of the adjustable capacity of industrial complexes is a key prerequisite for promoting industrial users' participation in power grid dispatch and an important guarantee for improving the operational safety of new power systems.

[0003] However, existing technologies cannot accurately determine the adjustable capacity of industrial complexes, which prevents industrial complexes from deeply participating in the dispatching of the power grid system, affecting the improvement of the level of new energy consumption and the safe and efficient operation of the system. Summary of the Invention

[0004] The purpose of this application is to at least address one of the aforementioned technical deficiencies, particularly the technical deficiency in the prior art where the adjustable capacity of each industrial complex cannot be accurately determined, resulting in the industrial complex's inability to deeply participate in the grid system's dispatch, thus affecting the improvement of the level of new energy consumption and the safe and efficient operation of the system.

[0005] In a first aspect, embodiments of this application provide a method for determining the adjustable capacity of an industrial complex, including:

[0006] Based on N initial vertices satisfying the linearization constraint set, an initial polygon is constructed in a two-dimensional coordinate system; wherein, the horizontal axis of the two-dimensional coordinate system represents the active power flowing from the large power grid to the industrial complex, and the vertical axis represents the reactive power flowing from the large power grid to the industrial complex; the linearization constraint set is used to describe the power operation constraints of the industrial complex, and N is a positive integer greater than 2;

[0007] Determine the centroid coordinates of the initial polygon;

[0008] Determine the target edge and its external normal vector within the current polygon;

[0009] Based on the external normal vector, the values ​​of the first constant term, the second constant term, and the candidate vertices satisfying the linearization constraint set are determined respectively; wherein, the value of the first constant term is the value of the constant term in the function expression of the external normal vector, and the value of the second constant term is the value of the constant term in the function expression when the external normal vector is translated to the centroid coordinates;

[0010] The current polygon is updated using the candidate vertices as new vertices;

[0011] The vertex approximation degree of the candidate vertex is determined based on the vertex coordinates, the first constant term value, and the second constant term value; wherein, the vertex approximation degree is used to describe the approximation degree between the candidate vertex and the boundary of the adjustable capacity two-dimensional region of the industrial complex;

[0012] If the vertex approximation is less than a first preset threshold or greater than a second preset threshold, then proceed to the step of determining the target edge and the outward normal vector of the target edge in the current polygon; otherwise, determine the adjustable capacity of the industrial complex based on the current polygon; wherein the adjustable capacity is used to participate in the grid dispatch of the large power grid.

[0013] In some embodiments, determining the vertex approximation degree of the candidate vertex based on the vertex coordinates of the candidate vertex, the first constant term value, and the second constant term value includes:

[0014] The vertex approximation degree is determined based on the following expression:

[0015]

[0016] In the formula, The degree of approximation of the vertex. Let be the vertex coordinates of the candidate vertex. The value of the first constant term. This is the value of the second constant term.

[0017] In some embodiments, determining the centroid coordinates of the initial polygon includes:

[0018] The centroid coordinates are determined based on the following expression:

[0019]

[0020]

[0021] In the formula, The x-coordinate value of the centroid coordinates. The density of the initial polygon. Let x be the abscissa of the two-dimensional coordinate system. Let be the ordinate of the two-dimensional coordinate system. The ordinate value of the centroid coordinate. The initial polygon is defined as follows.

[0022] In some embodiments, the N initial vertices are obtained by searching along N preset initial normal vectors in the two-dimensional coordinate system, and the N initial normal vectors equally divide the two-dimensional coordinate system.

[0023] Secondly, embodiments of this application provide an adjustable capacity determination device for an industrial complex, comprising:

[0024] A polygon construction module is used to construct an initial polygon in a two-dimensional coordinate system based on N initial vertices that satisfy a linearization constraint set; wherein, the horizontal axis of the two-dimensional coordinate system represents the active power flowing from the main power grid to the industrial complex, and the vertical axis represents the reactive power flowing from the main power grid to the industrial complex; the linearization constraint set is used to describe the power operation constraints of the industrial complex, and N is a positive integer greater than 2;

[0025] A centroid determination module is used to determine the centroid coordinates of the initial polygon;

[0026] The outer normal vector determination module is used to determine the target edge and the outer normal vector of the target edge in the current polygon;

[0027] The constant term determination module is used to determine the first constant term value, the second constant term value, and the candidate vertices that satisfy the linearization constraint set based on the external normal vector; wherein, the first constant term value is the constant term value in the function expression of the external normal vector, and the second constant term value is the constant term value in the function expression when the external normal vector is translated to the centroid coordinates;

[0028] The polygon update module is used to update the current polygon with the candidate vertices as new vertices;

[0029] The vertex approximation determination module is used to determine the vertex approximation degree of the candidate vertex based on the vertex coordinates of the candidate vertex, the first constant term value, and the second constant term value; wherein, the vertex approximation degree is used to describe the approximation degree between the candidate vertex and the boundary of the adjustable capacity two-dimensional region of the industrial complex;

[0030] The adjustable capacity determination module is used to, if the vertex approximation degree is less than a first preset threshold or greater than a second preset threshold, jump to the step of determining the target edge and the outward normal vector of the target edge in the current polygon; otherwise, determine the adjustable capacity of the industrial complex based on the current polygon; wherein, the adjustable capacity is used to participate in the power grid dispatch of the large power grid.

[0031] In some embodiments, the vertex approximation determination module includes:

[0032] The first determining unit is configured to determine the vertex approximation degree based on the following expression:

[0033]

[0034] In the formula, The degree of approximation of the vertex. Let be the vertex coordinates of the candidate vertex. The value of the first constant term. This is the value of the second constant term.

[0035] In some embodiments, the centroid determination module includes:

[0036] The second determining unit is used to determine the centroid coordinates based on the following expression:

[0037]

[0038]

[0039] In the formula, The x-coordinate value of the centroid coordinates. The density of the initial polygon. Let x be the abscissa of the two-dimensional coordinate system. Let be the ordinate of the two-dimensional coordinate system. The ordinate value of the centroid coordinate. The initial polygon is defined as follows.

[0040] In some embodiments, the N initial vertices are obtained by searching along N preset initial normal vectors in the two-dimensional coordinate system, and the N initial normal vectors equally divide the two-dimensional coordinate system.

[0041] Thirdly, embodiments of this application provide a storage medium storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the industrial complex adjustable capacity determination method described in any of the above embodiments.

[0042] Fourthly, embodiments of this application provide a computer device, which includes: one or more processors, and a memory;

[0043] The memory stores computer-readable instructions, which, when executed by the one or more processors, perform the steps of the adjustable capacity determination method for industrial complexes described in any of the above embodiments.

[0044] In the methods, apparatus, storage media, and computer devices for determining the adjustable capacity of industrial complexes provided in some embodiments of this application, the approximation degree of candidate vertices to the boundary of the adjustable capacity two-dimensional region can be determined based on the centroid coordinates of the initial polygon. This is used to evaluate whether the currently searched candidate nodes are close to the effective convex hull vertices of the adjustable capacity two-dimensional region boundary, and thus determine whether an approximate two-dimensional polygon that meets the error range requirements and can truly reflect the adjustable capacity of the industrial complex has been obtained. By evaluating based on the centroid coordinates of the initial polygon, this application can more accurately determine the adjustable capacity of the industrial complex, enabling the industrial complex to participate deeply in the grid system dispatching based on the determined adjustable capacity, thereby improving the level of new energy consumption and the safe and efficient operation of the system. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a flowchart illustrating a method for determining the adjustable capacity of an industrial complex in some embodiments;

[0047] Figure 2 This is a schematic diagram of N initial normal vectors and an initial polygon in some embodiments;

[0048] Figure 3 This is a schematic diagram of the structure of the adjustable capacity determination device for an industrial complex in some embodiments;

[0049] Figure 4 This is a diagram of the internal structure of a computer device in some embodiments. Detailed Implementation

[0050] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0051] In some embodiments, such as Figure 1 As shown, this application provides a method for determining the adjustable capacity of an industrial complex, which can be executed by computer equipment. The method provided by this application may include the following steps:

[0052] S102: Construct an initial polygon in a two-dimensional coordinate system based on N initial vertices that satisfy the linearization constraint set; where the horizontal axis of the two-dimensional coordinate system represents the active power flowing from the large power grid to the industrial complex, and the vertical axis represents the reactive power flowing from the large power grid to the industrial complex; the linearization constraint set is used to describe the power operation constraints of the industrial complex, and N is a positive integer greater than 2.

[0053] The linearized constraint set refers to the set of constraints used to describe the power operation constraints of an industrial complex, obtained after linearization. It can be understood that the constraints included in the linearized constraint set can be determined based on actual conditions, and may include linear constraints for electrolytic aluminum loads, power network constraints for the industrial complex, linear constraints for blast furnace loads, and linear constraints for new energy output.

[0054] It should be noted that the actual operational state space constraints of industrial complexes are mostly nonlinear or nonconvex, and cannot be directly applied. Therefore, this application can linearize the nonlinear or nonconvex operational state space constraints to obtain a closed approximate feasible region composed of linear inequalities and / or linear equality equations, i.e., a linearized constraint set. The two-dimensional adjustable capacity region of the industrial complex determined based on the linearized constraint set is a linear approximation of the precise adjustable capacity region, and can accurately reflect the capacity range of the adjustable capacity of the industrial complex.

[0055] In this step, the computer device first obtains N initial vertices that satisfy the linearization constraint set. Since the initial vertices are points in a two-dimensional coordinate system, where the horizontal axis represents the active power flowing from the large power grid to the industrial complex and the vertical axis represents the reactive power flowing from the large power grid to the industrial complex, the initial vertices can be used to approximately determine the position and shape of the adjustable capacity two-dimensional polygon, i.e., determine the initial polygon. It is understood that this application can employ various methods to obtain the initial vertices, and this application does not impose any specific limitations on this.

[0056] In some examples, the N initial vertices are obtained by searching along N predetermined initial normal vectors in a two-dimensional coordinate system. These N initial normal vectors equally divide the two-dimensional coordinate system. That is, the N initial normal vectors should divide the coordinate axes N equally. This improves the accuracy of the centroid coordinates, thereby improving the precision of the adjustable capacity. For example, as... Figure 2 As shown, when N=4, the four initial normal vectors should divide the two-dimensional coordinate axes into four equal parts. If the initial normal vectors... , This is the active power value. If the reactive power value is given, then the N initial normal vectors can be {(1, 0), (-1, 0), (0, 1), (0, -1)} or {(1, 1), (-1, 1), (-1, -1), (1, -1)}.

[0057] After determining N initial normal vectors, this application can search for vertices satisfying the linearization constraint set in a two-dimensional coordinate system along the direction of each initial normal vector, thus obtaining initial vertices. After completing the search in N directions, this application can obtain N initial vertices, with each of the N initial vertices corresponding one-to-one with the N initial normal vectors.

[0058] Furthermore, the j-th initial vertex This can be derived through the following linear programming:

[0059]

[0060] In the formula, Can be a vertex , Let j be the initial normal vector. It is a two-dimensional polygon with adjustable capacity; The coordinating variables are the active and reactive power flowing from the large power grid to the industrial complex; For example, the decision state variables involved in determining the adjustable capacity. In the formula, Voltage amplitude, The phase angle, The active power of new energy sources in industrial complexes. For the reactive power of new energy sources in industrial complexes, The active power of the load in the industrial complex. The reactive power of the industrial complex is the load; all of the above are vector values.

[0061] S104: Determine the centroid coordinates of the initial polygon.

[0062] In this step, the initial polygon can be an N-sided polygon. This application can determine the centroid of the N-sided polygon and obtain its coordinates. Vertex approximation of the adjustable-capacity two-dimensional polygon requires setting a search termination condition. This application can use the centroid coordinates as the calculation basis for the effective convex hull of the adjustable-capacity two-dimensional polygon.

[0063] It is understood that this application may employ one of several methods to determine the centroid coordinates of the initial polygon. In some examples, Figure 2 Let be the initial polygon diagram, denoted as Let the density of the initial polygon be... Therefore, the centroid coordinates can be determined based on the following expression:

[0064]

[0065]

[0066] In the formula, The x-coordinate value of the centroid coordinates. The density of the initial polygon, The x-coordinate of the two-dimensional coordinate system. The ordinate of the coordinate system is y. The ordinate value is the centroid coordinate. This is the initial polygon.

[0067] S106: Determine the target edge and its external normal vector in the current polygon.

[0068] In this step, the target edge for vertex approximation can be determined based on the shape of the current polygon, and the outward normal vector of the target edge can be further determined. In some examples, the selection of the target edge can be based on a certain strategy, such as selecting the edge farthest from the current centroid as the target edge, to ensure that the search process can cover all parts of the polygon. In other examples, this application can use each edge of the current polygon as a target edge for vertex approximation.

[0069] After determining the target edge, this application can further determine the outward normal vector of the target edge. Determining the outward normal vector provides the basis for subsequent calculations of the approximation between candidate vertices and the boundary of the adjustable capacity two-dimensional region. In some examples, it is assumed that the coordinates of the vertices at both ends of the target edge are... and Then, according to the two-point form of the equation of a straight line, we can obtain the linear function of the target side:

[0070]

[0071] With P as the x-axis and Q as the y-axis, the above equation can be transformed into an intercept form:

[0072]

[0073] Therefore, the outer normal vector of the target edge can be determined as:

[0074]

[0075] S108: Based on the external normal vector, determine the value of the first constant term, the value of the second constant term, and the candidate vertices that satisfy the linearization constraint set; wherein, the value of the first constant term is the value of the constant term in the function of the external normal vector, and the value of the second constant term is the value of the constant term in the function when the external normal vector is translated to the centroid coordinates.

[0076] In this step, after determining the functional expression of the outer normal vector, the constant term value in the functional expression can be further determined, thereby obtaining the first constant term value. Furthermore, this application can search for vertices satisfying the linearization constraint set in the two-dimensional coordinate system along the direction of the outer normal vector; these vertices are the candidate vertices corresponding to the outer normal vector. Additionally, this application can translate the outer normal vector to the position of the centroid coordinates to obtain the functional expression of the translated outer normal vector, and use the constant term value in this functional expression as the second constant term value.

[0077] S110: Update the current polygon using candidate vertices as new vertices.

[0078] In this step, after obtaining candidate vertices, this application can add the candidate vertices to the current polygon, using them as new vertices. These candidate vertices, along with all other vertices in the current polygon except those corresponding to the target edge, together form the updated current polygon. This update process achieves a gradual approximation of the polygon vertices, enabling the updated current polygon to more accurately approximate the effective convex hull of the adjustable capacity two-dimensional region.

[0079] S112: Determine the vertex approximation degree of the candidate vertex based on the vertex coordinates, the first constant term value, and the second constant term value; wherein, the vertex approximation degree is used to describe the approximation degree between the candidate vertex and the boundary of the adjustable capacity two-dimensional region of the industrial complex.

[0080] In this step, after obtaining the candidate vertices, the values ​​of the first and second constant terms, this application can determine the vertex approximation degree of the candidate vertices based on this information. In some examples, this application can determine the vertex approximation degree based on the following expression, thereby accurately quantifying the approximation of the candidate vertices to the boundary of the adjustable capacity two-dimensional region, further improving the accuracy of the adjustable capacity:

[0081]

[0082] In the formula, For vertex approximation degree, The value of the first constant term. This is the value of the second constant term. The optimal solution for the linear programming problem corresponding to the external normal vector, i.e., the vertex coordinates of the candidate vertices, can be calculated based on the following formula:

[0083]

[0084] S114: If the vertex approximation degree is less than the first preset threshold or greater than the second preset threshold, then proceed to the step of determining the target edge and the external normal vector of the target edge in the current polygon; otherwise, determine the adjustable capacity of the industrial complex based on the current polygon; wherein, the adjustable capacity is used to participate in the grid dispatch of the large power grid.

[0085] Specifically, The vertices are all effective convex hull vertices close to the boundary of the adjustable-capacity 2D polygon. Ideally, it is necessary to find all vertices that allow... The vertices of the system, forming a two-dimensional polygon, can accurately reflect the adjustable capacity of an industrial complex. However, in actual engineering setups, due to limitations in computational resources and time costs, it is impossible to exhaustively search for all vertices that meet the conditions. Therefore, the optimization can be terminated as long as the error is within the allowable range of the actual engineering situation.

[0086] Therefore, this application can set a first preset threshold and a second preset threshold to determine whether the vertex approximation degree of the candidate vertex meets the requirements, wherein the first preset threshold is less than the second preset threshold. It is understood that the specific values ​​of the first and second preset thresholds can be determined according to the actual situation, and this application does not impose specific restrictions on them. In some examples, the first preset threshold can be 0, and the smaller the second preset threshold, the closer the obtained polygon can be to the projection domain of the linear state space onto the two-dimensional PQ plane.

[0087] When the vertex approximation degree is less than the first preset threshold or greater than the second preset threshold, it indicates that the current candidate vertex is not close enough or too close to the boundary of the adjustable capacity two-dimensional region, and vertex approximation needs to continue. At this time, this application can jump to S106 and execute S106~S114 to continue the next round of vertex search and approximation. By continuously iterating the above steps, namely determining the target edge and the outer normal vector, calculating the constant term value, searching for candidate vertices and updating the current polygon, the search range can be gradually narrowed and the accuracy of vertex approximation can be improved. Each iteration makes the current polygon closer to the real adjustable capacity two-dimensional region, thereby ensuring that the final approximate two-dimensional polygon can accurately reflect the adjustable capacity of the industrial complex. This method based on centroid coordinates and linear programming not only improves computational efficiency but also enhances the accuracy of the results, providing strong support for the deep participation of industrial complexes in power grid system scheduling.

[0088] When the vertex approximation meets preset requirements, i.e., the vertex approximation is greater than or equal to a first preset threshold and less than or equal to a second preset threshold, it means that the current candidate vertex's approximation of the adjustable capacity two-dimensional region boundary has reached the error range allowed in engineering practice. At this point, it can be considered that the current polygon has sufficiently accurately reflected the effective convex hull of the adjustable capacity two-dimensional region of the industrial complex. Based on this, this application can determine the adjustable capacity of the industrial complex by calculating the area or boundary range enclosed by its vertices based on the current polygon. This adjustable capacity information can provide an important reference for the grid dispatching of large power grids. Allocating and utilizing power resources based on adjustable capacity can improve the operating efficiency and stability of the power grid.

[0089] In the above embodiments, the approximation degree of candidate vertices to the boundary of the adjustable capacity two-dimensional region can be determined based on the centroid coordinates of the initial polygon. This is used to evaluate whether the currently searched candidate nodes are close to the effective convex hull vertices of the adjustable capacity two-dimensional region boundary, and thus determine whether an approximate two-dimensional polygon that meets the error range requirements and can truly reflect the adjustable capacity of the industrial complex has been obtained. This application, by evaluating based on the centroid coordinates of the initial polygon, can more accurately determine the adjustable capacity of the industrial complex, enabling the industrial complex to participate deeply in the grid system dispatch based on the determined adjustable capacity, thereby improving the level of new energy consumption and the safe and efficient operation of the system.

[0090] The adjustable capacity determination device for industrial complexes provided in the embodiments of this application is described below. The adjustable capacity determination device for industrial complexes described below and the adjustable capacity determination method for industrial complexes described above can be referred to in correspondence with each other.

[0091] In some embodiments, such as Figure 3 As shown, this application provides an adjustable capacity determination device 300 for an industrial complex, comprising:

[0092] The polygon construction module 302 is used to construct an initial polygon in a two-dimensional coordinate system based on N initial vertices that satisfy the linearization constraint set; wherein, the horizontal axis of the two-dimensional coordinate system represents the active power flowing from the large power grid to the industrial complex, and the vertical axis represents the reactive power flowing from the large power grid to the industrial complex; the linearization constraint set is used to describe the power operation constraints of the industrial complex, and N is a positive integer greater than 2;

[0093] The centroid determination module 304 is used to determine the centroid coordinates of the initial polygon;

[0094] The outer normal vector determination module 306 is used to determine the target edge and the outer normal vector of the target edge in the current polygon;

[0095] The constant term determination module 308 is used to determine the first constant term value, the second constant term value, and the candidate vertices that satisfy the linearization constraint set based on the external normal vector; wherein, the first constant term value is the constant term value in the function expression of the external normal vector, and the second constant term value is the constant term value in the function expression when the external normal vector is translated to the centroid coordinates;

[0096] Polygon update module 310 is used to update the current polygon with the candidate vertices as new vertices;

[0097] The vertex approximation determination module 312 is used to determine the vertex approximation degree of the candidate vertex based on the vertex coordinates of the candidate vertex, the first constant term value, and the second constant term value; wherein, the vertex approximation degree is used to describe the approximation degree between the candidate vertex and the boundary of the adjustable capacity two-dimensional region of the industrial complex;

[0098] The adjustable capacity determination module 314 is used to, if the vertex approximation degree is less than a first preset threshold or greater than a second preset threshold, jump to the step of determining the target edge and the outward normal vector of the target edge in the current polygon; otherwise, determine the adjustable capacity of the industrial complex based on the current polygon; wherein, the adjustable capacity is used to participate in the power grid dispatch of the large power grid.

[0099] In some embodiments, the vertex approximation determination module 312 includes:

[0100] The first determining unit is configured to determine the vertex approximation degree based on the following expression:

[0101]

[0102] In the formula, The degree of approximation of the vertex. Let be the vertex coordinates of the candidate vertex. The value of the first constant term. This is the value of the second constant term.

[0103] In some embodiments, the centroid determination module 304 includes:

[0104] The second determining unit is used to determine the centroid coordinates based on the following expression:

[0105]

[0106]

[0107] In the formula, The x-coordinate value of the centroid coordinates. The density of the initial polygon. Let x be the abscissa of the two-dimensional coordinate system. Let be the ordinate of the two-dimensional coordinate system. The ordinate value of the centroid coordinate. The initial polygon is defined as follows.

[0108] In some embodiments, the N initial vertices are obtained by searching along N preset initial normal vectors in the two-dimensional coordinate system, and the N initial normal vectors equally divide the two-dimensional coordinate system.

[0109] In one embodiment, this application also provides a storage medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the industrial complex adjustable capacity determination method as described in any embodiment.

[0110] In one embodiment, this application also provides a computer device storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the industrial complex adjustable capacity determination method as described in any embodiment.

[0111] Indicatively, Figure 4 This is a schematic diagram of the internal structure of a computer device provided in an embodiment of this application. In one example, the computer device can be a server. (Refer to...) Figure 4 The computer device 900 includes a processing component 902, which further includes one or more processors, and memory resources represented by memory 901 for storing instructions executable by the processing component 902, such as application programs. The application programs stored in memory 901 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 902 is configured to execute instructions to perform the steps of the industrial complex adjustable capacity determination method described in any of the above embodiments.

[0112] The computer device 900 may also include a power supply component 903 configured to perform power management of the computer device 900, a wired or wireless network interface 904 configured to connect the computer device 900 to a network, and an input / output (I / O) interface 905. The computer device 900 may operate on an operating system stored in memory 901, such as Windows Server™, Mac OS X™, Unix™, Linux™, Free BSD™, or similar.

[0113] Those skilled in the art will understand that the internal structure of the computer device shown in this application is merely a block diagram of a portion of the structure related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. A specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0114] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. 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 apparatus that includes said element. In this document, "a," "an," "the," "the," and "its" may also include plural forms unless the context clearly indicates otherwise. "Multiple" refers to at least two, such as 2, 3, 5, or 8, etc. "And / or" includes any and all combinations of the related listed items.

[0115] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0116] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining the adjustable capacity of an industrial complex, characterized in that, include: Based on N initial vertices satisfying the linearization constraint set, an initial polygon is constructed in a two-dimensional coordinate system; wherein, the horizontal axis of the two-dimensional coordinate system represents the active power flowing from the large power grid to the industrial complex, and the vertical axis represents the reactive power flowing from the large power grid to the industrial complex; the linearization constraint set is used to describe the power operation constraints of the industrial complex, and N is a positive integer greater than 2; Determine the centroid coordinates of the initial polygon; Determine the target edge and its external normal vector within the current polygon; Based on the external normal vector, the values ​​of the first constant term, the second constant term, and the candidate vertices satisfying the linearization constraint set are determined respectively; wherein, the value of the first constant term is the value of the constant term in the function expression of the external normal vector, and the value of the second constant term is the value of the constant term in the function expression when the external normal vector is translated to the centroid coordinates; The current polygon is updated using the candidate vertices as new vertices; The vertex approximation degree of the candidate vertex is determined based on the vertex coordinates, the first constant term value, and the second constant term value; wherein, the vertex approximation degree is used to describe the approximation degree between the candidate vertex and the boundary of the adjustable capacity two-dimensional region of the industrial complex; If the vertex approximation is less than a first preset threshold or greater than a second preset threshold, then proceed to the step of determining the target edge and the outward normal vector of the target edge in the current polygon; otherwise, determine the adjustable capacity of the industrial complex based on the current polygon; wherein the adjustable capacity is used to participate in the grid dispatch of the large power grid.

2. The method according to claim 1, characterized in that, The step of determining the vertex approximation degree of the candidate vertex based on the vertex coordinates of the candidate vertex, the value of the first constant term, and the value of the second constant term includes: The vertex approximation degree is determined based on the following expression: In the formula, The degree of approximation of the vertex. Let be the vertex coordinates of the candidate vertex. The value of the first constant term. This is the value of the second constant term.

3. The method according to claim 1, characterized in that, Determining the centroid coordinates of the initial polygon includes: The centroid coordinates are determined based on the following expression: In the formula, The x-coordinate value of the centroid coordinates. The density of the initial polygon. Let x be the abscissa of the two-dimensional coordinate system. Let be the ordinate of the two-dimensional coordinate system. The ordinate value of the centroid coordinate. The initial polygon is defined as follows.

4. The method according to any one of claims 1 to 3, characterized in that, The N initial vertices are obtained by searching along the preset N initial normal vectors in the two-dimensional coordinate system, and the N initial normal vectors equally divide the two-dimensional coordinate system.

5. A device for determining the adjustable capacity of an industrial complex, characterized in that, include: A polygon construction module is used to construct an initial polygon in a two-dimensional coordinate system based on N initial vertices that satisfy a linearization constraint set; wherein, the horizontal axis of the two-dimensional coordinate system represents the active power flowing from the main power grid to the industrial complex, and the vertical axis represents the reactive power flowing from the main power grid to the industrial complex; the linearization constraint set is used to describe the power operation constraints of the industrial complex, and N is a positive integer greater than 2; A centroid determination module is used to determine the centroid coordinates of the initial polygon; The outer normal vector determination module is used to determine the target edge and the outer normal vector of the target edge in the current polygon; The constant term determination module is used to determine the first constant term value, the second constant term value, and the candidate vertices that satisfy the linearization constraint set based on the external normal vector; wherein, the first constant term value is the constant term value in the function expression of the external normal vector, and the second constant term value is the constant term value in the function expression when the external normal vector is translated to the centroid coordinates; The polygon update module is used to update the current polygon with the candidate vertices as new vertices; The vertex approximation determination module is used to determine the vertex approximation degree of the candidate vertex based on the vertex coordinates of the candidate vertex, the first constant term value, and the second constant term value; wherein, the vertex approximation degree is used to describe the approximation degree between the candidate vertex and the boundary of the adjustable capacity two-dimensional region of the industrial complex; The adjustable capacity determination module is used to, if the vertex approximation degree is less than a first preset threshold or greater than a second preset threshold, jump to the step of determining the target edge and the outward normal vector of the target edge in the current polygon; otherwise, determine the adjustable capacity of the industrial complex based on the current polygon; wherein, the adjustable capacity is used to participate in the power grid dispatch of the large power grid.

6. The apparatus according to claim 5, characterized in that, The vertex approximation determination module includes: The first determining unit is configured to determine the vertex approximation degree based on the following expression: In the formula, The degree of approximation of the vertex. Let be the vertex coordinates of the candidate vertex. The value of the first constant term. This is the value of the second constant term.

7. The apparatus according to claim 5, characterized in that, The centroid determination module includes: The second determining unit is used to determine the centroid coordinates based on the following expression: In the formula, The x-coordinate value of the centroid coordinates. The density of the initial polygon. Let x be the abscissa of the two-dimensional coordinate system. Let be the ordinate of the two-dimensional coordinate system. The ordinate value of the centroid coordinate. The initial polygon is defined as follows.

8. The apparatus according to any one of claims 5 to 7, characterized in that, The N initial vertices are obtained by searching along the preset N initial normal vectors in the two-dimensional coordinate system, and the N initial normal vectors equally divide the two-dimensional coordinate system.

9. A storage medium, characterized in that, The storage medium stores computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the industrial complex adjustable capacity determination method as described in any one of claims 1 to 4.

10. A computer device, characterized in that, include: One or more processors, and memory; The memory stores computer-readable instructions, which, when executed by the one or more processors, perform the steps of the industrial complex adjustable capacity determination method as described in any one of claims 1 to 4.

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