Fixed section power operation scene generation method and device, medium and computer equipment

Abstract

According to the fixed section power operation scene generation method and device, the medium and the computer equipment provided by the invention, the target node strongly related to the target power transmission section is determined in each source / direct node. Then calculating the power transfer sensitivity of each target node to the target power transmission section, and determining an adjustment quantity set of each target node by taking the power transfer sensitivity as a power constraint; therefore, the adjustment of the target node can effectively influence the section power. Performing tree arrangement on the regulating variables in each regulating variable set, and screening the regulating variables based on a pruning range; and when the node does not meet the pruning range, traversal of the node and the child nodes thereof is stopped, so that the screening efficiency is improved. And generating a plurality of candidate operation scenes after screening is finished, and selecting operation scenes meeting section power constraint conditions from the candidate operation scenes to form an operation scene set. Therefore, it can be ensured that the generated operation scene set covers the feasible region as much as possible, the specified section power is met, and the comprehensiveness and reliability of scene generation are improved.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a method, device, medium, and computer equipment for generating a fixed-section power operation scenario. Background Art

[0002] With the integration of large-scale renewable energy and the advancement of west-to-east power transmission projects, the scale of ultra-high voltage (UHV) long-distance DC transmission continues to expand, posing greater challenges to the safe and stable operation of AC / DC hybrid power grids. As the core line of defense for grid security, the formulation of stability control systems typically relies on offline analysis, with the power of key transmission sections serving as the primary basis for control activation and value calculations. However, in actual power grids, numerous power allocation schemes for source / DC nodes exist that meet the power constraints of the same section. During the formulation of stability control strategies, it is necessary to generate a set of operating scenarios that meet the power constraints of a given section and cover as much of the feasible domain as possible to provide the necessary operating scenario support for the formulation and verification of stability control strategies.

[0003] However, current stabilization strategy development relies primarily on human experience, requiring manual adjustments to generator output or reactive power compensation equipment to achieve target cross-section power. This approach is not only inefficient but also fails to exhaust all possible operating scenarios, leading to the risk of missed decisions or insufficient control during strategy development. This demonstrates that existing stabilization strategy development methods have significant limitations in their efficiency and comprehensiveness when generating operational scenarios. Summary of the Invention

[0004] The purpose of this application is to solve at least one of the above-mentioned technical deficiencies, especially the technical deficiencies in the prior art of the stability strategy verification method that have obvious limitations in efficiency and comprehensiveness when generating operating scenarios.

[0005] In a first aspect, the present application provides a method for generating a fixed-section power operation scenario, the method comprising:

[0006] Determine a target transmission section, and determine a target node that is strongly correlated with the target transmission section among each source / direct current node of the power system;

[0007] Calculating the power transfer sensitivity of each target node to the target transmission section, and using the power transfer sensitivity corresponding to each target node as a power constraint, determining a set of adjustment variables corresponding to each target node;

[0008] Arranging the adjustment values ​​in the adjustment value set corresponding to each target node in a tree-like manner according to a preset rule, determining a pruning range, and screening the adjustment values ​​arranged in the tree-like manner based on the pruning range;

[0009] After the screening is completed, multiple candidate operating scenarios are generated according to the retained adjustment amounts, and power constraints are determined. Among the candidate operating scenarios, candidate operating scenarios that meet the power constraints are selected to form an operating scenario set.

[0010] In one embodiment, determining a target node that is strongly correlated with the target transmission section from among the source / direct current nodes of the power system includes:

[0011] Calculating the transfer impedance between the section node and each source / DC node in the target transmission section respectively;

[0012] For each cross-section node, select N source / direction nodes with the smallest transfer impedance to the cross-section node from each source / direction node, and add the selected source / direction nodes to the preset node set;

[0013] After the source / direct node selection for each section node is completed, the node set is deduplicated, and each source / direct node in the deduplicated node set is determined as a target node that is strongly correlated with the target transmission section.

[0014] In one embodiment, the calculating the power transfer sensitivity of each target node to the target transmission section includes:

[0015] For each target node, obtain the reactance of each line in the target transmission section and the transfer reactance of the target node to each line;

[0016] Calculating the transfer sensitivity of the target node to each line based on the reactance of each line in the target transmission section and the transfer reactance of the target node to each line;

[0017] The sum of the transfer sensitivities of the target node to each line is counted, and the statistical result is determined as the power transfer sensitivity of the target node to the target power transmission section.

[0018] In one embodiment, the method of using the power transfer sensitivity corresponding to each target node as a power constraint and determining the set of adjustment amounts corresponding to each target node includes:

[0019] Select any node from each target node as a special node, and determine the power change of the target transmission section according to the power change of the special node and the power transfer sensitivity of each target node;

[0020] Determine the adjustable range of each target node, and calculate the node variable range based on the power variation of the target transmission section, the power variation range of the special node, and the sensitivity range formed by the power transfer sensitivity of each target node;

[0021] Determine the intersection of the adjustable range of each target node and the variable range of the node as the feasible adjustment domain of the corresponding target node;

[0022] The feasible regulation domain of each target node is discretized into intervals to obtain the set of regulation quantities corresponding to each target node.

[0023] In one embodiment, the interval discretization of the feasible adjustment domain of each target node is performed to obtain the adjustment amount set corresponding to each target node, including:

[0024] Determine the discrete step length of each target node;

[0025] Round down the lower limit of the feasible regulation domain of each target node to obtain the benchmark value of each target node;

[0026] After determining a plurality of adjustment amounts corresponding to each target node according to the discrete step length and the reference amount of each target node, an adjustment amount set for each target node is formed according to the plurality of adjustment amounts corresponding to each target node.

[0027] In one embodiment, arranging the adjustment values ​​in the adjustment value set corresponding to each target node in a tree-like manner according to a preset rule, determining a pruning range, and screening the adjustment values ​​arranged in the tree-like manner based on the pruning range includes:

[0028] Determine a special node among the target nodes, and obtain a power variation range of the special node and a power variation range of the target nodes other than the special node, so as to generate a pruning range of each target node other than the special node;

[0029] Arranging the adjustment variables in the adjustment variable set of each target node except the special node in a tree-like manner according to the absolute value of the power transfer sensitivity of each target node from large to small, wherein each path in the adjustment variables arranged in the tree-like manner represents a combination of adjustment variables;

[0030] A tree search is performed on the tree-arranged adjustment amounts. When a node whose adjustment amount does not satisfy the pruning range of its corresponding target node is found, the node and its child nodes are deleted to complete the screening of the tree-arranged adjustment amounts.

[0031] In one embodiment, after the screening is completed, multiple candidate operating scenarios are generated based on the retained adjustment amount, and a power constraint condition is determined. A candidate operating scenario that meets the power constraint condition is selected from each candidate operating scenario to form an operating scenario set, including:

[0032] Extract the adjustment quantity combination represented by each path in the adjustment quantity arranged in the tree after the screening is completed, and generate multiple candidate operation scenarios based on each adjustment quantity combination;

[0033] Determine a special node among the target nodes, calculate a power adjustment interval of the special node, and determine a range of a total adjustment amount, and determine the range and the power adjustment interval as a power constraint condition;

[0034] A candidate operating scenario in which both the adjustment amount of the special node and the total adjustment amount satisfy the power constraint condition is selected from each candidate operating scenario, and an operating scenario set is generated according to the selected candidate operating scenario.

[0035] In a second aspect, the present application provides a device for generating a fixed-section power operation scenario, the device comprising:

[0036] A node determination module is used to determine a target transmission section and determine a target node that is strongly correlated with the target transmission section among various source / direct nodes of the power system;

[0037] An adjustment amount determination module is used to calculate the power transfer sensitivity of each target node to the target transmission section, and use the power transfer sensitivity corresponding to each target node as a power constraint to determine the adjustment amount set corresponding to each target node;

[0038] A pruning and screening module, configured to arrange the adjustment values ​​in the adjustment value set corresponding to each target node in a tree-like manner according to a preset rule, determine a pruning range, and screen the adjustment values ​​arranged in the tree-like manner based on the pruning range;

[0039] The constraint screening module is used to generate multiple candidate operating scenarios according to the retained adjustment amount after the screening is completed, determine the power constraint conditions, and select the candidate operating scenarios that meet the power constraint conditions from each candidate operating scenario to form an operating scenario set.

[0040] In a third aspect, the present application provides a storage medium storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the method for generating a fixed-section power operation scenario as described in any of the above embodiments.

[0041] In a fourth aspect, the present application provides a computer device, comprising: one or more processors, and a memory;

[0042] The memory stores computer-readable instructions, and when the one or more processors execute the computer-readable instructions, they perform the steps of the method for generating a fixed-section power operation scenario as described in any one of the above embodiments.

[0043] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0044] The present application provides a method, apparatus, medium, and computer device for generating a fixed-section power operation scenario. These methods identify target nodes strongly correlated with a target transmission section within each source / DC node of a power system, thereby determining the source / DC node to be adjusted in the generated operation scenario. The method then calculates the power transfer sensitivity of each target node to the target transmission section. The power transfer sensitivity measures the impact of power changes at each target node on the power of the target transmission section. Using the power transfer sensitivity corresponding to each target node as a power constraint, a set of adjustment variables corresponding to each target node is determined. The resulting set of adjustment variables ensures that adjustments to each target node effectively affect the section power. The adjustment variables in the set of adjustment variables corresponding to each target node are then arranged in a tree structure according to preset rules, and a pruning range is determined. The tree-arranged adjustment variables are filtered based on the pruning range. If a node does not meet the pruning range, traversal of the node and its child nodes is terminated, thereby improving filtering efficiency. After the screening is complete, multiple candidate operation scenarios are generated based on the retained adjustment variables. Power constraints are determined, and candidate operation scenarios that meet the power constraints are selected from each candidate operation scenario to form an operation scenario set. In this way, the generated operation scenario set can be ensured to cover the feasible domain as much as possible, which can improve the efficiency of operation scenario generation while also ensuring its comprehensiveness and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0046] Figure 1 A flowchart of a method for generating a fixed-section power operation scenario provided in an embodiment of the present application;

[0047] Figure 2 A schematic diagram of a process for determining a target node that is strongly correlated with a target transmission section among various source / direct-current nodes in a power system provided in an embodiment of the present application;

[0048] Figure 3 A schematic diagram of a process for determining a set of adjustment values ​​corresponding to each target node using the power transfer sensitivity corresponding to each target node as a power constraint provided in an embodiment of the present application;

[0049] Figure 4 A flowchart of an embodiment of the present application for arranging the adjustment values ​​in the adjustment value set corresponding to each target node in a tree-like manner according to preset rules, determining a pruning range, and screening the adjustment values ​​arranged in the tree-like manner based on the pruning range;

[0050] Figure 5 This is an example diagram of pruning provided in an embodiment of the present application;

[0051] Figure 6 This is a diagram illustrating a framework of a method for generating a fixed-section power operation scenario provided in an embodiment of the present application;

[0052] Figure 7 A topological diagram of the test node system provided in an embodiment of the present application;

[0053] Figure 8 A schematic diagram of the structure of a device for generating a fixed-section power operation scenario provided in an embodiment of the present application;

[0054] Figure 9 This is a diagram of the internal structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0056] In one embodiment, this application provides a method for generating a fixed-section power operation scenario. The following embodiments illustrate this method as applied to a server. It is understood that the method can be executed on a single server or a server cluster consisting of multiple servers, and this application does not impose specific limitations on this.

[0057] In order to maintain the stable and safe operation of the power grid, users need to formulate corresponding stabilization strategies, and the formulation of stabilization strategies depends on the power of a specific transmission section. However, due to the complexity of the power system, there are many power distribution schemes for power plants that meet the power of a specific transmission section. If the power distribution schemes of each power plant are determined manually (i.e., the operating scenario in this application), on the one hand, this method is inefficient and prone to errors, and on the other hand, it is difficult to ensure that the generated power distribution schemes for power plants can cover the feasible domain as much as possible. Based on this, Figure 1 As shown, the present application provides a method for generating a fixed-section power operation scenario, the method comprising:

[0058] S101: Determine a target transmission section, and determine a target node that is strongly correlated with the target transmission section among various source / direct-current nodes in the power system.

[0059] The target transmission section refers to a specific set of transmission lines in the power system. The target transmission section is composed of multiple lines, and the nodes corresponding to the endpoints of each line are called section nodes.

[0060] In this step, when a user needs to formulate a stabilization strategy for the power system, they first determine the transmission section for which the strategy is intended, i.e., the target transmission section, and send relevant information about the target transmission section to the server. Based on this information, the server can identify target nodes from the various source / DC nodes in the power system that are strongly correlated with the target transmission section. It can be understood that a target node that is strongly correlated with the target transmission section is a source / DC node that can significantly influence the power flow of the target transmission section.

[0061] It should be noted that the source / DC node mentioned in this application includes the generator set access node and the DC converter station AC node.

[0062] Specifically, when determining the target transmission section, the impact of each transmission section on the stability of the power system can be evaluated, thereby determining the transmission section with the greatest impact on the stability of the power system as the target transmission section. This application does not impose specific restrictions on this. In addition, when determining a target node that is strongly correlated with the target transmission section among each source / direct node, the target node can be determined by evaluating the degree of impact of the power changes of each source / direct node on the target transmission section.

[0063] S102: Calculate the power transfer sensitivity of each target node to the target transmission section, and use the power transfer sensitivity corresponding to each target node as a power constraint to determine a set of adjustment variables corresponding to each target node.

[0064] Among them, the power transfer sensitivity is used to measure the impact of the power change of the target node on the power change of the target transmission section, and the regulation quantity set includes multiple discrete regulation quantities.

[0065] In this step, the power transfer sensitivity of each target node to the target transmission section can be calculated based on the reactance of the lines involved in the target transmission section and the transfer reactance of each target node to the nodes at both ends of the line involved in the target transmission section, thereby measuring the impact of power changes at each target node on the target transmission section. Based on the power transfer sensitivity corresponding to each target node, upper and lower limits of the power transfer sensitivity at each target node are then determined. These upper and lower limits further constrain the adjustment range of each target node to determine the set of adjustment variables corresponding to each target node.

[0066] It is understandable that, in addition to the above-mentioned power transfer sensitivity calculation method, the power transfer sensitivity can also be calculated based on methods such as power flow calculation and small disturbance stability analysis, and this application does not impose specific restrictions on this.

[0067] S103: Arranging the adjustment amounts in the adjustment amount set corresponding to each target node in a tree shape according to a preset rule, determining a pruning range, and filtering the adjustment amounts arranged in the tree shape based on the pruning range.

[0068] The preset rule converts the set of adjustment variables corresponding to each target node into multiple target node power combinations and arranges these combinations in a tree-like structure according to a preset order. The pruning range constrains the power range of the target node. The pruning range can be determined based on the maximum and minimum power values ​​of the source / direction nodes.

[0069] In this step, the pruning order is first determined. Then, the target nodes are arranged in a tree structure according to this order. After the arrangement is complete, each node in the tree structure represents an adjustment variable, and each path in the tree structure represents a target node power combination solution (i.e., an operating scenario). The pruning range for each target node is then calculated, and the adjustment variables in the tree structure are filtered based on the determined pruning range.

[0070] It can be understood that various target node power combination schemes can be intuitively displayed through tree arrangement, and when a node (adjustment amount) does not meet its corresponding pruning range during the search process, it means that all target node power combination schemes containing this node / adjustment amount do not meet the conditions. At this time, the node and its child nodes can be directly deleted without continuing to search all its child nodes, which can improve the efficiency of running scenario screening.

[0071] S104: After the screening is completed, multiple candidate operating scenarios are generated according to the retained adjustment amounts, and power constraints are determined. Among the candidate operating scenarios, candidate operating scenarios that meet the power constraints are selected to form an operating scenario set.

[0072] The candidate operating scenario refers to an alternative operating scenario, and the operating scenario refers to the power combination scheme of the target node, which includes the specific adjustment amount of each target node. The power constraint conditions include the power adjustment constraint of the special node and the total power adjustment constraint.

[0073] In this step, after the screening is completed, multiple candidate operating scenarios can be generated based on the adjustment amounts and paths still retained in the tree arrangement, and then power constraints can be further performed to select candidate operating scenarios that meet the power constraint conditions from each candidate operating scenario, and generate an operating scenario set based on the selected candidate operating scenarios.

[0074] In the above embodiment, target nodes strongly correlated with the target transmission section are identified from each source / DC node in the power system, thereby determining the source / DC node to be adjusted in the generated operation scenario. The power transfer sensitivity of each target node to the target transmission section is then calculated. The power transfer sensitivity measures the impact of power changes at each target node on the power of the target transmission section. Using the power transfer sensitivity corresponding to each target node as a power constraint, a set of adjustment variables corresponding to each target node is determined. The resulting set of adjustment variables ensures that adjustments to each target node effectively impact the power of the section. The adjustment variables in the set of adjustment variables corresponding to each target node are then arranged in a tree structure according to preset rules, and a pruning range is determined. The tree-arranged adjustment variables are then filtered based on the pruning range. If a node does not meet the pruning range, traversal of the node and its child nodes is terminated, thereby improving filtering efficiency. After the screening is complete, multiple candidate operation scenarios are generated based on the retained adjustment variables. Power constraints are determined, and candidate operation scenarios that meet the power constraints are selected from each candidate operation scenario to form an operation scenario set. In this way, the generated operation scenario set can be ensured to cover the feasible domain as much as possible, which can improve the efficiency of operation scenario generation while also ensuring its comprehensiveness and reliability.

[0075] like Figure 2 As shown, in one embodiment, determining a target node that is strongly correlated with a target transmission section among various source / direct-current nodes in the power system includes:

[0076] S201: Calculate the transfer impedance between the section node and each source / DC node in the target transmission section respectively.

[0077] S202: For each cross-section node, select N source / direction nodes with the smallest transfer impedance to the cross-section node from each source / direction node, and add the selected source / direction nodes to a preset node set.

[0078] S203: After the source / direct node selection for each section node is completed, the node set is deduplicated, and each source / direct node in the deduplicated node set is determined as a target node that is strongly correlated with the target transmission section.

[0079] A section node refers to the endpoint node of a line within the target transmission section. Transfer impedance is used to analyze the interaction between different nodes or branches in an AC circuit. It can be defined as the ratio of the voltage change at one node to the current change at another node that causes the change. N is a positive integer that can be set and adjusted based on actual needs. In one example, N can be set to 5.

[0080] In this embodiment, the transfer impedance between the section node and each source / DC node in the target transmission section is first determined. Then, for each section node, N source / DC nodes with the smallest transfer impedance to the section node are selected from each source / DC node. The last selected source / DC nodes are then deduplicated. The resulting source / DC nodes are the nodes that are strongly associated with the target transmission section. Specifically, low impedance reflects high conductivity. Low impedance means that current can flow more easily between nodes without having to overcome a large potential difference (low resistance to current flow). This indicates that the electrical connection between the two nodes is very close, the electrical path is short, and the conductivity is good. Therefore, the N source / DC nodes with the smallest transfer impedance are selected as the nodes that are strongly associated with the target transmission section.

[0081] It can be understood that by determining the target nodes that are strongly related to the target transmission section to determine the target nodes that can effectively influence the transmission section, the reliability and effectiveness of the stabilization control strategy formulated based on the power allocation to each target node are ensured.

[0082] In an example, assuming that the total number of source / DC nodes is K and there are M lines in the target transmission section, the transfer impedance of each source / DC node to the nodes at both ends of the M lines (a total of 2M) is calculated and arranged into a section-node transfer impedance matrix A with 2M rows and K columns. The expression is as follows:

[0083]

[0084] Where, and Respectively represent the transfer impedance of the first target node to the first and second end nodes of the first line in the target transmission section. The meanings of other characters in the matrix can be deduced similarly.

[0085] The elements in the section-node transfer impedance matrix A can be directly obtained from the system's node impedance matrix. The specific calculation formula is as follows:

[0086] For a system with N nodes, the node impedance matrix is ​​known for:

[0087]

[0088] Where, represents the self-impedance of node 1, represents the mutual impedance between node 1 and node 2.

[0089] From the above, we can see that the element formula in the section-node transfer impedance matrix A is:

[0090]

[0091] After determining the cross-section-node transfer impedance matrix A, for each row in the cross-section-node transfer impedance matrix A, extract the first J elements with the smallest transfer impedance and fill the corresponding node numbers into the corresponding rows of the matrix B. The matrix B is expressed as:

[0092]

[0093] Where, Indicates the node corresponding to the smallest element in the first row of the section-node transfer impedance matrix A, Indicates the node corresponding to the second smallest element in the first row of the section-node transfer impedance matrix A.

[0094] Then, the non-repeated nodes in the matrix B are determined as nodes that are strongly correlated with the target transmission section.

[0095] In one embodiment, calculating the power transfer sensitivity of each target node to the target transmission section includes:

[0096] S1: For each target node, obtain the reactance of each line in the target transmission section and the transfer reactance of the target node to each line.

[0097] S2: Calculate the transfer sensitivity of the target node to each line based on the reactance of each line in the target transmission section and the transfer reactance of the target node to each line.

[0098] S3: Counting the sum of the transfer sensitivities of the target node to each line, and determining the statistical result as the power transfer sensitivity of the target node to the target transmission section.

[0099] In this embodiment, the transfer sensitivity of each target node to each line of the target transmission section is calculated, and then based on this, the power transfer sensitivity of each target node to the target transmission section is determined to measure the impact of the power change of each target node on the target transmission section, so as to carry out the related tasks of determining the subsequent adjustment amount.

[0100] In an example, taking the calculation of the transfer sensitivity of the target node i to the line p in the target transmission section as an example, the expression is as follows:

[0101]

[0102] Where, represents the transfer sensitivity of target node i to line p in the target transmission section, and They represent the transfer reactance of the target node i to the first end node and the second end node of the line p in the target transmission section, Represents the reactance of line p in the target transmission section.

[0103] According to the above expression, the transfer sensitivity of target node i to each line in the target transmission section can be calculated. The power transfer sensitivity of target node i to the target transmission section can be calculated according to the following expression: :

[0104]

[0105] like Figure 3 As shown, in one embodiment, the power transfer sensitivity corresponding to each target node is used as the power constraint, and the adjustment amount set corresponding to each target node is determined respectively, including:

[0106] S301: Select any node from each target node as a special node, and determine the power change of the target transmission section according to the power change of the special node and the power transfer sensitivity of each target node.

[0107] S302: Determine the adjustable range of each target node, and calculate the node adjustable range based on the power variation of the target transmission section, the power variation range of the special node, and the sensitivity range formed by the power transfer sensitivity of each target node.

[0108] S303: Determine the intersection of the adjustable range of each target node and the node variable range as the feasible adjustment domain of the corresponding target node.

[0109] S304: Discretize the feasible adjustment domain of each target node into intervals to obtain an adjustment amount set corresponding to each target node.

[0110] The adjustable range refers to the adjustment range of the target node itself.

[0111] In this embodiment, the purpose of selecting a special node is to satisfy the power constraint of the target transmission section by constraining the value of this special node, that is, to obtain the power of the special node that meets the section power requirement, so as to ensure that the set of operating scenarios of all target nodes obtained meet the target section power. Then determine the adjustable range of each target node, and then further calculate the node variable range based on the power change of the target transmission section, the power change range of the special node, and the sensitivity range formed by the power transfer sensitivity of each target node. Finally, perform an intersection operation on each adjustable range and the node variable range to obtain the feasible adjustment domain of the corresponding target node. The adjustment range of each target node is determined by the above constraints to ensure the accuracy and feasibility of the final operation scenario.

[0112] In an example, assuming that the number of target nodes is Q, any target node is selected as a special node. In this case, when adjusting the power overload of the target node, the section power change rate is It can be calculated according to the following expression:

[0113]

[0114] Where, is the injected active power change of target node i, is the power transfer sensitivity of target node i to the target transmission section except special nodes, is the power variation of a special node, is the power transfer sensitivity of a special node to the target transmission section.

[0115] The maximum value of the power adjustable amount of each target node is set to the rated power of the generator set or DC converter station minus the power of the reference operating state, and the minimum value is the inverse of the power of the reference operating state. Therefore, the adjustable range of each target node can be expressed as follows:

[0116]

[0117] Where, is the change in active power of the i-th target node, is the power of the i-th generator set at full power or the maximum DC power of the DC converter station, is the power of the i-th target node in the baseline operating state.

[0118] Next, a power constraint is formed based on the power transfer sensitivity to determine the node variable range of the target node, which is expressed as follows:

[0119]

[0120] Where, is the variable value of the target node that satisfies the constraint, that is, the variable range of the node. is the lower limit of the variable value of the target node to meet the constraint, is the upper limit of the variable value of the target node to meet the constraints, is the maximum value of the special node variation range, is the minimum value of the special node variation range, is the maximum absolute value of the power transfer sensitivity of the target node except the special node, is the minimum absolute value of the power transfer sensitivity of the target nodes except the special nodes.

[0121] After determining the node variable range, the intersection of the adjustable range of each target node and the node variable range is determined as the feasible adjustment domain of the corresponding target node. , the expression of this process is as follows:

[0122]

[0123] Finally, the feasible regulation domain of each target node is discretized into intervals to obtain the set of regulation quantities corresponding to each target node.

[0124] In one embodiment, the feasible adjustment domain of each target node is discretized into intervals to obtain an adjustment amount set corresponding to each target node, including:

[0125] S1: Determine the discrete step length of each target node.

[0126] S2: Round down the lower limit of the feasible adjustment domain of each target node to obtain the benchmark value of each target node.

[0127] S3: After determining multiple adjustment amounts corresponding to each target node according to the discrete step length and the reference amount of each target node, an adjustment amount set for each target node is formed according to the multiple adjustment amounts corresponding to each target node.

[0128] In this embodiment, the number of discrete states for each target node can be first obtained. This number of discrete states is a preset value that can be set or adjusted based on the feasible adjustment range of each target node. A discrete step size is determined based on the number of discrete states for each target node and the upper and lower limits of the feasible adjustment range. Then, multiple adjustment amounts are determined by fixed increments of one discrete step size unit, thereby generating a set of adjustment amounts corresponding to each target node.

[0129] Specifically, to ensure that the sample size during subsequent tree searches is not excessive and that the full range of power values ​​is essentially covered, the number of discrete states can be set to approximately 15. When the interpolated upper and lower limits of the target node's feasible regulation domain are too large, for example, greater than 1500MW, the number of discrete states can be appropriately increased. When the interpolated upper and lower limits of the target node's feasible regulation domain are too small, for example, less than 30MW, the number of discrete states can be appropriately reduced.

[0130] By discretizing the feasible adjustment domain of each target node, a representative adjustment amount can be determined, and the subsequent calculation amount can be reduced. While ensuring the scenario coverage, the efficiency of running scenario generation can also be improved.

[0131] In one example, the feasible regulation domain of each target node is first Integerized upper and lower limits of :

[0132]

[0133] Where, Indicates rounding down the lower limit of the feasible adjustment range.

[0134] Then, for each target node, its corresponding discrete step length (or number of discrete states) is determined. Taking the first target node as an example, the adjustment amount of the target node is generated according to the following expression:

[0135]

[0136] Where, is the total number of discrete regulation state values ​​of the first source / direct node, Indicates rounding down. The first source / direct node The state value of the gear discrete adjustment quantity.

[0137] And so on, this can form the i-th target node The adjustment amount of each gear :

[0138]

[0139] Where, represents the first target node of the i-th An adjustment amount.

[0140] like Figure 4 As shown, in one embodiment, the adjustment values ​​in the adjustment value set corresponding to each target node are arranged in a tree shape according to a preset rule, and a pruning range is determined. The adjustment values ​​arranged in the tree shape are filtered based on the pruning range, including:

[0141] S401: Determine a special node among the target nodes, and obtain the power variation range of the special node and the power variation range of the target nodes except the special node, so as to generate a pruning range of each target node except the special node.

[0142] S402: Arranging the adjustment variables in the adjustment variable set of each target node except the special node in a tree-like manner according to the absolute value of the power transfer sensitivity of each target node from large to small.

[0143] Each path in the tree-arranged adjustment variables represents a combination of adjustment variables.

[0144] S403: performing a tree search on the tree-arranged adjustment amounts. When a node whose adjustment amount does not satisfy the pruning range of its corresponding target node is found, the node and its child nodes are deleted to complete the screening of the tree-arranged adjustment amounts.

[0145] In this embodiment, according to the expression for the pruning range, the larger the absolute value of the power transfer sensitivity, the smaller the variable value of the corresponding target node that satisfies the pruning constraint. Furthermore, during the tree search, the number of nodes in the upper layers decreases, and the total number of traversals decreases. Therefore, the tree search is performed on each target node in descending order of the absolute value of the power transfer sensitivity, thereby improving the efficiency of searching and generating candidate operating scenarios.

[0146] In an example, the expression for the pruning range is as follows:

[0147]

[0148] Where, For the The variable value of the target node satisfies the pruning constraint, For the The lower limit of the variable value of the target node that meets the pruning constraint, For the The upper limit of the change value of the target node that satisfies the pruning constraint, is the maximum value of the special node variation range, is the minimum value of the special node variation range, is the maximum value of the target node variation range except special nodes, It is the minimum value of the target node variation range except special nodes.

[0149] The above expression is used to form the first node except the special node that meets the pruning range. The set of adjustment quantities for target nodes :

[0150]

[0151] Where, Indicates the The target node An adjustment amount.

[0152] In one example, if Figure 5 As shown, Figure 5 This is an example diagram of pruning provided in the embodiment of the present application. When the pruning range of the corresponding target node is not met, the downward search for the node is stopped and the node and all subsequent child nodes are deleted. Indicates the first adjustment amount corresponding to the first target node, Figure 5 The meanings of other nodes in are similar. Figure 5 In , each different path constitutes a candidate operation scenario.

[0153] In one embodiment, after the screening is completed, multiple candidate operating scenarios are generated based on the retained adjustment amounts, and power constraints are determined. A candidate operating scenario that meets the power constraints is selected from each candidate operating scenario to form an operating scenario set, including:

[0154] S1: extract the adjustment quantity combination represented by each path in the adjustment quantity arranged in a tree shape after the screening is completed, and generate multiple candidate operation scenarios according to each adjustment quantity combination.

[0155] S2: Determine a special node among the target nodes, calculate the power adjustment interval of the special node, and determine the range of the total adjustment amount, and determine the range and the power adjustment interval as the power constraint condition.

[0156] S3: Select candidate operating scenarios in which both the regulation amount of the special node and the total regulation amount satisfy the power constraint condition from among the candidate operating scenarios, and generate an operating scenario set based on the selected candidate operating scenarios.

[0157] In this embodiment, after generating multiple candidate operating scenarios, on the one hand, because the power of a special node does not participate in the tree search through discretization, its value is only derived based on the cross-section constraint, so it does not necessarily meet the adjustable range of the special node. Therefore, it is necessary to use the power adjustment range of the special node as a constraint for screening. On the other hand, the sum of the power adjustment amounts of all target nodes needs to meet the power balance constraint, so the range of the total adjustment amount needs to be constrained. After these two aspects of constraint screening, the final operating scenario can be obtained.

[0158] In one example, constraints are further screened based on the power adjustment range of a specific node for each candidate operating scenario. The process is as follows:

[0159]

[0160]

[0161] Where, is the minimum power change of a special node, is the maximum power variation of a special node, is the power change of the i-th target node, is the power transfer sensitivity of the i-th target node to the target transmission section, is the power variation of a special node, is the power transfer sensitivity of a special node to the target transmission section.

[0162] After determining the power adjustment interval of the special node, candidate operation scenarios in which the adjustment amount of the special node is not within the power adjustment interval are deleted from each candidate operation scenario according to the power adjustment interval of the special node.

[0163] Next, check whether the sum of the adjustment amounts of all target nodes meets the power balance constraint:

[0164]

[0165] Where, is the adjustment amount of the i-th target node, is the power of the i-th target node in the benchmark operating state, and Q represents the number of target nodes. The value is a small positive number, and the recommended value is 1.5%.

[0166] At this time, each candidate operating scenario after being screened by the power adjustment range of the special node can be further deleted according to the power balance constraint. Specifically, the sum of the adjustment amounts of each candidate operating scenario can be calculated. If the range of the total adjustment amount is not met, the candidate operating scenario will be deleted, and the final operating scenario set will be obtained.

[0167] like Figure 6 As shown, Figure 6 This is a schematic diagram of a framework for a method for generating a fixed-section power operation scenario provided in an embodiment of the present application. Figure 6 This scheme can be roughly divided into three stages, namely, identification of strongly correlated nodes on the cross section and quantitative impact measurement, calculation and discretization of feasible adjustment domain of nodes, and generation of operation scenarios based on pruning range.

[0168] In one embodiment, an IEEE 10-machine 39-node system is used as a test system to provide a calculation example to better understand the technical solution of this application. Figure 7 As shown, Figure 7 This is a topological diagram of the test node system provided in the embodiment of the present application. Figure 7 In the test system, there are 39 nodes, 10 generators and 46 lines. The balancing node is 39 nodes. The following strongly correlated nodes are the target nodes in this application.

[0169] 1. Identification of strongly correlated nodes on the cross section and quantitative measurement of their impact

[0170] (1) Identify the strongly correlated nodes of the cross section

[0171] The section is set to the branch set consisting of Line 23 and Line 29. First, determine the adjusted generators and calculate the transfer impedance of the 10 generators (nodes 30-39) in the IEEE 39-node system to the section nodes (nodes 16, 21, 23, and 24). The section-node transfer impedance matrix A is obtained as shown in Table 1-1.

[0172]

[0173] Table 1-1 Inter-node transfer impedance values

[0174] Sort the elements in each row of Table 1-1 from small to large, and take the first J unit numbers to form the B matrix. In this example, J=5.

[0175] Table 1-2 Node sorting sequence table

[0176]

[0177] The target node set I = {32, 33, 34, 35, 36} is formed.

[0178] (2) Calculate the power transfer sensitivity of strongly correlated nodes to cross-section power

[0179] The sensitivity of each source / direct node in set I to line 23, line 29, and the section formed by line 23 and line 29 is calculated respectively. The results are shown in Table 1-3.

[0180] Table 1-3 Power transfer sensitivity calculation

[0181]

[0182] 2. Calculation and discretization of feasible adjustment domains for strongly correlated nodes on cross sections

[0183] (1) Calculation of feasible regulation domain of strongly correlated nodes

[0184] According to the corresponding formula given in the above embodiment of the present application, the variable range of the node can be obtained:

[0185]

[0186] For the adjustable units 32, 33, 34, 35, and 36 in set I, the feasible adjustment range calculated to the strongly correlated nodes is shown in Table 1-4:

[0187] Table 1-4 Adjustable upper and lower ranges of the parameterized units

[0188]

[0189] (2) Discretization of the feasible regulation domain of strongly correlated nodes

[0190] The feasible adjustment range obtained in Table 1-4 is rounded down to the integer, and the adjustable range of the parameter adjustment unit is obtained as shown in Table 1-5.

[0191] Table 1-5 Integer adjustable range of parameterized units

[0192]

[0193] In this example, the discrete step size is set to 60 MW. By traversing the adjustable range of the unit in Table 1-5 according to the discrete step size, a discrete power set can be constructed, as shown in Table 1-6.

[0194] Table 1-6 Discrete power comparison table

[0195]

[0196] 3. Tree search based on pruning range to generate multiple candidate running scenarios

[0197] In this example, the cross-section power change rate is set to 100MW, and the special node is the 32-unit node.

[0198] (1) Pruning-based candidate running scenario tree generation process

[0199] First, the absolute values ​​of the sensitivity of nodes except special nodes are sorted from large to small, and the order of pruning is 35, 36, 34, and 33.

[0200] After pruning calculation, the upper and lower adjustable ranges of the parameterized units under power constraints are shown in Table 1-7:

[0201] Table 1-7 List of adjustable powers of discrete nodes of the participating units that meet pruning constraints

[0202]

[0203] Based on pruning tree search, multiple candidate operation scenarios are generated.

[0204] 4. Candidate operation scenario screening process based on constraints

[0205] In this example, according to the corresponding formula given in the above embodiment of this application, the power adjustment range of the special node 32 can be obtained: The expression is:

[0206]

[0207] Check whether the power of the special node meets the adjustable range of the above formula. If it does, keep the scenario; otherwise, delete it.

[0208] At the same time, set , then the power balance constraint of the sum of the power adjustment amounts of all strongly correlated nodes is:

[0209]

[0210] Where, and It is the adjustment amount of nodes 32, 33, 34, 35 and 36.

[0211] Check whether the sum of the power adjustments of all strongly correlated nodes meets the power balance constraint of the above formula. If so, retain the scenario; otherwise, delete it.

[0212] 5. Results of some running scenario sets

[0213] As shown in Table 1-8, the values ​​are the sum of the adjustable power of the discrete nodes of the parameterized units and their basic operating modes obtained in the above example.

[0214]

[0215] Table 1-8 Unit combinations for operation scenario sets

[0216] Thus, a partial unit combination scenario set generated by pruning-based tree search that meets the fixed section power premise is obtained for the IEEE 10-unit 39-bus system with a section power variation of 100MW and a discrete step length of 60MW.

[0217] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0218] The following describes a fixed-section power operation scenario generation device provided in an embodiment of the present application. The fixed-section power operation scenario generation device described below and the fixed-section power operation scenario generation method described above can refer to each other.

[0219] like Figure 8 As shown, the present application provides a device 500 for generating a fixed-section power operation scenario, the device comprising:

[0220] The node determination module 501 is used to determine the target transmission section and determine the target node that is strongly related to the target transmission section among the source / direct-current nodes of the power system;

[0221] The adjustment amount determination module 502 is used to calculate the power transfer sensitivity of each target node to the target transmission section, and use the power transfer sensitivity corresponding to each target node as a power constraint to determine the adjustment amount set corresponding to each target node;

[0222] The pruning and screening module 503 is used to arrange the adjustment values ​​in the adjustment value set corresponding to each target node in a tree-like manner according to a preset rule, determine a pruning range, and screen the adjustment values ​​arranged in the tree-like manner based on the pruning range;

[0223] The constraint screening module 504 is used to generate multiple candidate operating scenarios according to the retained adjustment amounts after the screening is completed, determine power constraints, and select candidate operating scenarios that meet the power constraints from each candidate operating scenario to form an operating scenario set.

[0224] In one embodiment, the node determination module includes:

[0225] The impedance calculation submodule is used to calculate the transfer impedance between the section node and each source / direct current node in the target transmission section;

[0226] The node selection submodule is used to select N source / direct current nodes with the smallest transfer impedance to the section node from among the source / direct current nodes for each section node, and add the selected source / direct current nodes to the preset node set;

[0227] The node determination submodule is used to deduplicate the node set after completing the source / direct node selection for each section node, and determine each source / direct node in the deduplicated node set as a target node that is strongly correlated with the target transmission section.

[0228] In one embodiment, the adjustment amount determination module includes:

[0229] A data acquisition submodule is used to acquire, for each target node, the reactance of each line in the target transmission section and the transfer reactance of the target node to each line;

[0230] A calculation submodule, configured to calculate the transfer sensitivity of the target node to each line based on the reactance of each line in the target transmission section and the transfer reactance of the target node to each line;

[0231] The statistical submodule is used to calculate the sum of the transfer sensitivities of the target node to each line and determine the statistical result as the power transfer sensitivity of the target node to the target transmission section.

[0232] In one embodiment, the adjustment amount determination module includes:

[0233] The variation determination submodule is used to select any node from each target node as a special node, and determine the power variation of the target transmission section according to the power variation of the special node and the power transfer sensitivity of each target node;

[0234] The range determination submodule is used to determine the adjustable range of each target node and calculate the node adjustable range based on the power variation of the target transmission section, the power variation range of the special node, and the sensitivity range formed by the power transfer sensitivity of each target node;

[0235] The regulation domain determination submodule is used to determine the intersection of the adjustable range of each target node and the node variable range as the feasible regulation domain of the corresponding target node;

[0236] The adjustment amount determination submodule is used to discretize the feasible adjustment domain of each target node to obtain the adjustment amount set corresponding to each target node.

[0237] In one embodiment, the adjustment amount determination submodule includes:

[0238] A step size determination unit, used to determine the discrete step size of each target node;

[0239] a rounding unit, used to round down the lower limit of the feasible adjustment domain of each target node to obtain a benchmark value of each target node;

[0240] The adjustment amount determination unit is used to determine multiple adjustment amounts corresponding to each target node according to the discrete step length and reference amount of each target node, and then form an adjustment amount set for each target node according to the multiple adjustment amounts corresponding to each target node.

[0241] In one embodiment, the pruning and screening module includes:

[0242] The range generation submodule is used to determine the special node among the target nodes, and obtain the power variation range of the special node and the power variation range of the target nodes other than the special node, so as to generate the pruning range of each target node other than the special node;

[0243] A tree arrangement submodule is used to arrange the adjustment variables in the adjustment variable set of each target node except special nodes in a tree arrangement according to the absolute value of the power transfer sensitivity of each target node from large to small, wherein each path in the adjustment variables in the tree arrangement represents a combination of adjustment variables;

[0244] The node deletion submodule is used to perform a tree search on the tree-arranged adjustment amount. When a node whose adjustment amount does not meet the pruning range of its corresponding target node is found, the node and its child nodes are deleted to complete the screening of the tree-arranged adjustment amount.

[0245] In one embodiment, the constraint screening module includes:

[0246] The scenario generation submodule is used to extract the adjustment quantity combination represented by each path in the tree-arranged adjustment quantity after the screening is completed, and generate multiple candidate operation scenarios based on each adjustment quantity combination;

[0247] The condition determination submodule is used to determine the special node among the target nodes, calculate the power adjustment interval of the special node, and determine the range of the total adjustment amount, and determine the range and the power adjustment interval as the power constraint condition;

[0248] The scenario determination submodule is used to select candidate operating scenarios in which the adjustment amount of special nodes and the total adjustment amount meet the power constraint conditions from each candidate operating scenario, and generate an operating scenario set based on the selected candidate operating scenarios.

[0249] The division of the various modules in the above-mentioned fixed-section power operation scenario generation device is only for illustration. In other embodiments, the fixed-section power operation scenario generation device can be divided into different modules as needed to complete all or part of the functions of the above-mentioned fixed-section power operation scenario generation device. The various modules in the above-mentioned fixed-section power operation scenario generation device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

[0250] In one embodiment, the present application also provides a storage medium storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the method for generating a fixed-section power operation scenario as described in any of the above embodiments.

[0251] In one embodiment, the present application also provides a computer device having computer-readable instructions stored therein. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the method for generating a fixed-section power operation scenario as described in any one of the above embodiments.

[0252] Schematically, as Figure 9 As shown, Figure 9This is a schematic diagram of the internal structure of a computer device provided in an embodiment of the present application. The computer device 600 can be provided as a server. Figure 9 Computer device 600 includes a processing component 602, which further includes one or more processors, and memory resources represented by memory 601 for storing instructions executable by processing component 602, such as applications. The applications stored in memory 601 may include one or more modules, each corresponding to a set of instructions. Furthermore, processing component 602 is configured to execute the instructions to perform the method for generating a fixed-profile power operating scenario according to any of the aforementioned embodiments.

[0253] The computer device 600 may further include a power supply component 603 configured to perform power management of the computer device 600, a wired or wireless network interface 604 configured to connect the computer device 600 to a network, and an input / output (I / O) interface 605. The computer device 600 may operate based on an operating system stored in the memory 301, such as Windows Server™, Mac OS X™, Unix™, Linux™, Free BSD™, or the like.

[0254] Those skilled in the art will understand that Figure 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0255] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment comprising a series of elements not only include those elements, but also include other elements not clearly listed, or also include elements inherent to such process, method, article or equipment. In the absence of more restrictions, the elements limited by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or equipment comprising the elements. Herein, the singular forms "one", "an" and "said / the" may also include plural forms, unless the context clearly indicates otherwise. It should also be understood that the terms "include / comprise" or "have" etc. specify the existence of stated features, wholes, steps, operations, components, parts or combinations thereof, but do not exclude the possibility of the existence or addition of one or more other features, wholes, steps, operations, components, parts or combinations thereof. At the same time, the term "and / or" used in this specification includes any and all combinations of the relevant listed items.

[0256] The various embodiments in this specification are described in a progressive manner, and 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 referenced to each other.

[0257] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for generating a fixed-section power operation scenario, characterized in that: The method comprises: Determine a target transmission section, and determine a target node that is strongly correlated with the target transmission section among each source / direct current node of the power system; Calculating the power transfer sensitivity of each target node to the target transmission section, and using the power transfer sensitivity corresponding to each target node as a power constraint, determining a set of adjustment variables corresponding to each target node; Arranging the adjustment values ​​in the adjustment value set corresponding to each target node in a tree-like manner according to a preset rule, determining a pruning range, and screening the adjustment values ​​arranged in the tree-like manner based on the pruning range; After the screening is completed, multiple candidate operating scenarios are generated according to the retained adjustment amounts, and power constraints are determined. Among the candidate operating scenarios, candidate operating scenarios that meet the power constraints are selected to form an operating scenario set.

2. The method for generating a fixed-section power operation scenario according to claim 1, characterized in that: The step of determining a target node that is strongly correlated with the target transmission section from among the source / direct current nodes of the power system includes: Calculating the transfer impedance between the section node and each source / DC node in the target transmission section respectively; For each cross-section node, select N source / direct-current nodes with the smallest transfer impedance to the cross-section node from each source / direct-current node, and add the selected source / direct-current nodes to the preset node set; After the source / direct node selection for each section node is completed, the node set is deduplicated, and each source / direct node in the deduplicated node set is determined as a target node that is strongly correlated with the target transmission section.

3. The method for generating a fixed-section power operation scenario according to claim 1, characterized in that: The calculating of the power transfer sensitivity of each target node to the target transmission section includes: For each target node, obtain the reactance of each line in the target transmission section and the transfer reactance of the target node to each line; Calculating the transfer sensitivity of the target node to each line based on the reactance of each line in the target transmission section and the transfer reactance of the target node to each line; The sum of the transfer sensitivities of the target node to each line is counted, and the statistical result is determined as the power transfer sensitivity of the target node to the target power transmission section.

4. The method for generating a fixed-section power operation scenario according to claim 1, characterized in that: The method of using the power transfer sensitivity corresponding to each target node as a power constraint and determining a set of adjustment amounts corresponding to each target node includes: Select any node from each target node as a special node, and determine the power change of the target transmission section according to the power change of the special node and the power transfer sensitivity of each target node; Determine the adjustable range of each target node, and calculate the node variable range based on the power variation of the target transmission section, the power variation range of the special node, and the sensitivity range formed by the power transfer sensitivity of each target node; Determine the intersection of the adjustable range of each target node and the variable range of the node as the feasible adjustment domain of the corresponding target node; The feasible regulation domain of each target node is discretized into intervals to obtain the set of regulation quantities corresponding to each target node.

5. The method for generating a fixed-section power operation scenario according to claim 4, characterized in that: The feasible adjustment domain of each target node is discretized into intervals to obtain an adjustment amount set corresponding to each target node, including: Determine the discrete step length of each target node; Round down the lower limit of the feasible regulation domain of each target node to obtain the benchmark value of each target node; After determining a plurality of adjustment amounts corresponding to each target node according to the discrete step length and the reference amount of each target node, an adjustment amount set for each target node is formed according to the plurality of adjustment amounts corresponding to each target node.

6. The method for generating a fixed-section power operation scenario according to claim 1, characterized in that: Arranging the adjustment amounts in the adjustment amount set corresponding to each target node in a tree shape according to a preset rule, determining a pruning range, and screening the adjustment amounts arranged in the tree shape based on the pruning range includes: Determine a special node among the target nodes, and obtain a power variation range of the special node and a power variation range of the target nodes other than the special node, so as to generate a pruning range of each target node other than the special node; Arranging the adjustment variables in the adjustment variable set of each target node except the special node in a tree-like manner according to the absolute value of the power transfer sensitivity of each target node from large to small, wherein each path in the adjustment variables arranged in the tree-like manner represents a combination of adjustment variables; A tree search is performed on the tree-arranged adjustment amounts. When a node whose adjustment amount does not satisfy the pruning range of its corresponding target node is found, the node and its child nodes are deleted to complete the screening of the tree-arranged adjustment amounts.

7. The method for generating a fixed-section power operation scenario according to claim 1, characterized in that: After the screening is completed, multiple candidate operating scenarios are generated according to the retained adjustment amount, and a power constraint condition is determined. A candidate operating scenario that meets the power constraint condition is selected from each candidate operating scenario to form an operating scenario set, including: Extract the adjustment quantity combination represented by each path in the adjustment quantity arranged in the tree after the screening is completed, and generate multiple candidate operation scenarios based on each adjustment quantity combination; Determine a special node among the target nodes, calculate a power adjustment interval of the special node, and determine a range of a total adjustment amount, and determine the range and the power adjustment interval as a power constraint condition; A candidate operating scenario in which both the adjustment amount of the special node and the total adjustment amount satisfy the power constraint condition is selected from each candidate operating scenario, and an operating scenario set is generated according to the selected candidate operating scenario.

8. A device for generating a fixed-section power operation scenario, characterized in that: The device comprises: A node determination module is used to determine a target transmission section and determine a target node that is strongly correlated with the target transmission section among various source / direct nodes of the power system; An adjustment amount determination module is used to calculate the power transfer sensitivity of each target node to the target transmission section, and use the power transfer sensitivity corresponding to each target node as a power constraint to determine the adjustment amount set corresponding to each target node; A pruning and screening module, configured to arrange the adjustment values ​​in the adjustment value set corresponding to each target node in a tree-like manner according to a preset rule, determine a pruning range, and screen the adjustment values ​​arranged in the tree-like manner based on the pruning range; The constraint screening module is used to generate multiple candidate operating scenarios according to the retained adjustment amount after the screening is completed, determine the power constraint conditions, and select the candidate operating scenarios that meet the power constraint conditions from each candidate operating scenario to form an operating scenario set.

9. A storage medium, characterized in that: The storage medium stores computer-readable instructions, which, when executed by one or more processors, enable the one or more processors to execute the steps of the method for generating a fixed-section power operation scenario as described in any one of claims 1 to 7.

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, execute the steps of the method for generating a fixed-section power operation scenario as described in any one of claims 1 to 7.

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