A real-time simulation method and system for power transmission system based on dynamic model

Abstract

The present invention relates to the technical field of power simulation, and discloses a real-time simulation method and system for a power transmission system based on a dynamic model. By constructing an accurate dynamic model for real-time power simulation, the method and system can not only simulate the normal operating state of the power transmission system, but also be used to accurately predict and analyze the power transmission behavior of the power transmission system under various operating times, thereby improving the accuracy of real-time power simulation. Then, a preset state evaluation coefficient function is used to accurately judge the operating state of each power transmission device in the system, and corresponding solutions are matched to power transmission devices in abnormal states to eliminate the abnormal states and improve the operational stability of the power transmission system. The method solves the technical problem of how to achieve accurate real-time power simulation, thereby improving the operational stability of the power transmission system.

Description

Technical Field

[0001] The present invention relates to the technical field of power simulation, and in particular to a real-time simulation method and system for a power transmission system based on a dynamic model. Background Art

[0002] The use of digital tools has made small-scale transmission and regional power supply compensation technologies possible. The power system is becoming increasingly diversified and intelligent. In addition to changes in the supply and demand sides, there is also the development and application of power transmission technology. In order to ensure the stable operation of the power system, more intelligent controllers are needed. However, the development and testing of these controllers cannot be carried out entirely in a real power grid environment. In particular, some dangerous fault injection and extreme environment tests are carried out by first simulating and modeling the power grid and transmission lines and other facilities through real-time power simulation, and then directly testing them on the test bench in the laboratory.

[0003] However, in a simulation environment, it's difficult to directly simulate data for unrecognizable devices. This prevents timely detection of abnormal performance in the tested device, making it difficult to trace the source of the anomaly and determine its attribution. When an anomaly occurs, there's no feedback available to correct the behavior. Over time, the same anomaly recurs, reducing test accuracy and significantly increasing maintenance costs. Summary of the Invention

[0004] The present invention provides a real-time simulation method and system for a power transmission system based on a dynamic model, which solves the technical problem of how to achieve accurate real-time power simulation, thereby improving the operational stability of the power transmission system.

[0005] A first aspect of the present invention provides a real-time simulation method for a power transmission system based on a dynamic model, comprising:

[0006] Responding to a real-time simulation request for a power transmission system, obtaining configuration parameters and real-time operating parameters of the power transmission system;

[0007] constructing a dynamic model for simulating power transmission behavior of each power transmission device in the power transmission system using the configuration parameters;

[0008] Preprocessing the real-time operating parameters, and inputting the preprocessed real-time operating parameters into the dynamic model for dynamic simulation to generate real-time simulation data;

[0009] Using the real-time simulation data to input a preset state evaluation coefficient function for determining the operating state of each of the power transmission devices, and outputting a state evaluation coefficient;

[0010] comparing the state assessment coefficient with a preset state assessment coefficient threshold, and matching a target solution for the power transmission system according to the comparison result;

[0011] The target solution is used to adjust the power transmission system until all the power transmission devices in the power transmission system are in a normal state.

[0012] Optionally, the step of using the configuration parameters to construct a dynamic model for simulating power transmission behavior of each power transmission device in the power transmission system includes:

[0013] Determining model parameters for constructing the dynamic model from the configuration parameters;

[0014] Introducing a time variable into the model parameters and constructing a model parameter relationship according to the principles of electrodynamics;

[0015] The model parameter relationship expressions are combined to construct a dynamic model for simulating the power transmission behavior of each of the power transmission devices.

[0016] Optionally, the model parameters include voltage parameters and resistance parameters, and the step of constructing a model parameter relationship according to the principle of electrical power includes:

[0017] Based on Ohm's law and the power formula, the voltage parameter and the resistance parameter are used to construct a current relationship formula and a transmission power relationship formula;

[0018] Based on the definition of efficiency, construct an efficiency relationship.

[0019] Optionally, before the step of using the real-time simulation data to input a preset state assessment coefficient function for determining the operating state of each of the power transmission devices and outputting the state assessment coefficient, the step further includes:

[0020] Building a historical database for storing historical simulation data of each of the power transmission devices and associated historical solution strategies;

[0021] Acquiring historical operating parameters of the power transmission system, and preprocessing the historical operating parameters to generate preprocessed historical operating parameters;

[0022] The pre-processed historical operating parameters are input into the dynamic model to perform dynamic simulation, and historical simulation data corresponding to each of the power transmission devices is output.

[0023] Optionally, the step of comparing the state assessment coefficient with a preset state assessment coefficient threshold and matching a target solution of the power transmission system according to the comparison result includes:

[0024] comparing the state assessment coefficient with a preset state assessment coefficient threshold;

[0025] If the state evaluation coefficient is less than the preset state evaluation coefficient threshold, determining that the power transmission device is in a normal state;

[0026] If the state evaluation coefficient is greater than or equal to the preset state evaluation coefficient threshold, determining that the power transmission device is in an abnormal state;

[0027] The historical database is searched using real-time simulation data associated with the power transmission equipment in an abnormal state, and a historical solution associated with the historical simulation data consistent with the real-time simulation data is matched as a target solution.

[0028] Optionally, it also includes:

[0029] Based on the configuration parameters, constructing a power network model of the power transmission system with the goal of minimizing transmission losses;

[0030] Solving the power network model using a preset network optimization algorithm to obtain a transmission path with the smallest sum of resistances within the power transmission system as an optimized transmission path;

[0031] Updating the target solution using the optimized delivery path to generate a new target solution;

[0032] Jump to the step of adjusting the power transmission system by adopting the target solution until all the power transmission devices in the power transmission system are in a normal state.

[0033] A second aspect of the present invention provides a real-time simulation system for a power transmission system based on a dynamic model, comprising:

[0034] a response module, configured to respond to a real-time simulation request for a power transmission system and obtain configuration parameters and real-time operating parameters of the power transmission system;

[0035] a model building module, configured to use the configuration parameters to build a dynamic model for simulating power transmission behavior of each power transmission device in the power transmission system;

[0036] A simulation module, configured to pre-process the real-time operating parameters and input the pre-processed real-time operating parameters into the dynamic model for dynamic simulation to generate real-time simulation data;

[0037] a state assessment module, configured to use the real-time simulation data to input a preset state assessment coefficient function for determining the operating state of each of the power transmission devices, and output a state assessment coefficient;

[0038] a solution matching module, configured to compare the state assessment coefficient with a preset state assessment coefficient threshold, and match a target solution for the power transmission system according to the comparison result;

[0039] An adjustment module is configured to adjust the power transmission system using the target solution until all the power transmission devices in the power transmission system are in a normal state.

[0040] A third aspect of the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the real-time simulation method of a power transmission system based on a dynamic model as described in any one of the above.

[0041] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the real-time simulation method for a power transmission system based on a dynamic model as described in any one of the above.

[0042] A fifth aspect of the present invention provides a computer program product, comprising a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer is caused to execute the real-time simulation method for a power transmission system based on a dynamic model as described in any one of the above.

[0043] It can be seen from the above technical solutions that the present invention has the following advantages:

[0044] In the present invention, in response to a real-time simulation request for a power transmission system, configuration parameters and real-time operating parameters of the power transmission system are obtained; the configuration parameters are used to construct a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system; the real-time operating parameters are preprocessed, and the preprocessed real-time operating parameters are input into the dynamic model for dynamic simulation to generate real-time simulation data; the real-time simulation data is used to input a preset state evaluation coefficient function for judging the operating state of each power transmission device, and the state evaluation coefficient is output; the state evaluation coefficient is compared with a preset state evaluation coefficient threshold, and a target solution for the power transmission system is matched according to the comparison result; and the target solution is used to perform a simulation on the power transmission system. Adjustments are made until all power transmission equipment in the power transmission system is in a normal state. By constructing an accurate dynamic model for real-time power simulation, not only can the normal operating state of the power transmission system be simulated, but it can also be used to accurately predict and analyze the power transmission behavior of the power transmission system under various operating times, thereby improving the accuracy of real-time power simulation. Then, the operating state of each power transmission device in the system is accurately judged through a preset state evaluation coefficient function, and corresponding solutions are matched to power transmission equipment in an abnormal state to eliminate the abnormal state and improve the operational stability of the power transmission system. This solves the technical problem of how to achieve accurate real-time power simulation and thus improve the operational stability of the power transmission system. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention 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 invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 A flowchart of a method for real-time simulation of a power transmission system based on a dynamic model provided in the first embodiment of the present invention;

[0047] Figure 2 A flowchart of a method for real-time simulation of a power transmission system based on a dynamic model provided in the second embodiment of the present invention;

[0048] Figure 3 This is a structural block diagram of a real-time simulation system for a power transmission system based on a dynamic model provided in the third embodiment of the present invention;

[0049] Figure 4 This is a structural block diagram of a computer device provided in Example 4 of the present invention. DETAILED DESCRIPTION

[0050] The embodiments of the present invention provide a real-time simulation method and system for a power transmission system based on a dynamic model, which are used to solve the technical problem of how to achieve accurate real-time power simulation, thereby improving the operational stability of the power transmission system.

[0051] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0052] See also Figure 1 , Figure 1 This is a flowchart of the steps of a real-time simulation method for a power transmission system based on a dynamic model provided in the first embodiment of the present invention.

[0053] The present invention provides a real-time simulation method for a power transmission system based on a dynamic model, comprising:

[0054] Step 101: Respond to a real-time simulation request for a power transmission system and obtain configuration parameters and real-time operating parameters of the power transmission system.

[0055] The power transmission system refers to a transmission system composed of a series of power transmission equipment that transmits electric energy from power plants to loads, including power plants, step-up substations, transmission lines, step-down substations, distribution lines and distribution transformers.

[0056] A real-time simulation request refers to a request instruction for performing real-time simulation on a power transmission system.

[0057] Configuration parameters refer to the basic parameters of the power transmission system and the setting parameters of the power transmission equipment. Among them, basic parameters include node parameters (such as generation node parameters, load node parameters, and substation node parameters) and line parameters (such as resistance, reactance, susceptance, and line length). The setting parameters of the power transmission equipment include power supply capacity, transmission line parameters, and equipment connection methods. By setting configuration parameters, different power transmission scenarios can be simulated.

[0058] Real-time operating parameters refer to the power parameters of the power transmission equipment when it is in operation, including voltage parameters, resistance parameters and power parameters.

[0059] In an embodiment of the present invention, in response to receiving a request instruction to perform real-time simulation on a power transmission system, configuration parameters and real-time operating parameters of the power transmission system are acquired.

[0060] Step 102: Use the configuration parameters to construct a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system.

[0061] A dynamic model refers to a model used to simulate the power transmission behavior of each power transmission device in the power transmission system at different operating times.

[0062] Power transmission equipment refers to equipment used to achieve electrical energy transmission, including but not limited to power generation equipment (such as boilers and generators), transmission equipment (such as overhead lines and transformers), and distribution equipment (such as switchgear and switch cabinets).

[0063] Power transmission behavior refers to the three processes of the power transmission system: generation and collection of power, transmission of power, and distribution and supply of power.

[0064] In an embodiment of the present invention, configuration parameters are used to construct a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system.

[0065] Step 103 : pre-process the real-time operation parameters, and input the pre-processed real-time operation parameters into a dynamic model for dynamic simulation to generate real-time simulation data.

[0066] In an embodiment of the present invention, real-time operating parameters are preprocessed and input into a dynamic model to perform dynamic simulation. This simulates the power transmission behavior of each power transmission device at different operating times, and records the real-time power data of each power transmission device during the power transmission behavior as real-time simulation data.

[0067] Step 104: Use real-time simulation data to input a preset state evaluation coefficient function for determining the operating state of each power transmission device, and output a state evaluation coefficient.

[0068] The state assessment coefficient function refers to a function used to output the state assessment coefficient of the operating state of each power transmission device. The state assessment coefficient is used to compare with a preset state assessment coefficient threshold to determine whether the power transmission device is in an abnormal state based on the comparison result.

[0069] In the embodiment of the present invention, real-time simulation data is used to input a preset state evaluation coefficient function for judging the operating state of each power transmission device, and a state evaluation coefficient is output.

[0070] Step 105 : Compare the state assessment coefficient with a preset state assessment coefficient threshold, and match a target solution for the power transmission system according to the comparison result.

[0071] The preset state evaluation coefficient threshold refers to a pre-set judgment threshold used to judge whether the power transmission equipment is in an abnormal state.

[0072] In an embodiment of the present invention, a state assessment coefficient is compared with a preset state assessment coefficient threshold. If the state assessment coefficient is less than the preset state assessment coefficient threshold, the power transmission device is determined to be in a normal state. If the state assessment coefficient is greater than or equal to the preset state assessment coefficient threshold, the power transmission device is determined to be in an abnormal state. Real-time simulation data associated with the power transmission device in the abnormal state is used to search a historical database, and a historical solution associated with historical simulation data consistent with the real-time simulation data is matched as a target solution.

[0073] Step 106: Use the target solution to adjust the power transmission system until all power transmission devices in the power transmission system are in a normal state.

[0074] Target solutions refer to solutions used to eliminate abnormal performance of power transmission equipment, including equipment parameter adjustment and power transmission path reallocation.

[0075] In an embodiment of the present invention, the target solution is used to adjust the power transmission system until all power transmission devices in the power transmission system are in a normal state.

[0076] In the present invention, in response to a real-time simulation request for a power transmission system, configuration parameters and real-time operating parameters of the power transmission system are obtained; the configuration parameters are used to construct a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system; the real-time operating parameters are preprocessed, and the preprocessed real-time operating parameters are input into the dynamic model for dynamic simulation to generate real-time simulation data; the real-time simulation data is used to input a preset state evaluation coefficient function for judging the operating state of each power transmission device, and the state evaluation coefficient is output; the state evaluation coefficient is compared with a preset state evaluation coefficient threshold, and a target solution for the power transmission system is matched according to the comparison result; and the target solution is used to perform a simulation on the power transmission system. Adjustments are made until all power transmission equipment in the power transmission system is in a normal state. By constructing an accurate dynamic model for real-time power simulation, not only can the normal operating state of the power transmission system be simulated, but it can also be used to accurately predict and analyze the power transmission behavior of the power transmission system under various operating times, thereby improving the accuracy of real-time power simulation. Then, the operating state of each power transmission device in the system is accurately judged through a preset state evaluation coefficient function, and corresponding solutions are matched to power transmission equipment in an abnormal state to eliminate the abnormal state and improve the operational stability of the power transmission system. This solves the technical problem of how to achieve accurate real-time power simulation and thus improve the operational stability of the power transmission system.

[0077] See also Figure 2 , Figure 2This is a flowchart of the steps of a real-time simulation method for a power transmission system based on a dynamic model provided in the second embodiment of the present invention.

[0078] The present invention provides a real-time simulation method for a power transmission system based on a dynamic model, comprising:

[0079] Step 201: Respond to a real-time simulation request for a power transmission system and obtain configuration parameters and real-time operating parameters of the power transmission system.

[0080] In the embodiment of the present invention, the specific implementation process of step 201 is similar to that of step 101 and will not be repeated here.

[0081] Step 202: Determine model parameters for constructing a dynamic model from the configuration parameters.

[0082] Furthermore, the model parameters include voltage parameters and resistance parameters;

[0083] In an embodiment of the present invention, model parameters for constructing a dynamic model are defined from configuration parameters. The model parameters include voltage parameters and resistance parameters. The model parameters are the basis for constructing the dynamic model and are used to describe the basic characteristics and operating status of the power transmission equipment.

[0084] Step 203: Introduce time variables into the model parameters and construct model parameter relationship equations based on the principles of electrical engineering.

[0085] Furthermore, step 203 may include the following sub-steps:

[0086] S11. Introduce time variables into model parameters.

[0087] In the embodiment of the present invention, in order to reflect the dynamic characteristics of the equipment, a time variable (t) is introduced so that the model can describe the changes in equipment parameters over time, thereby more accurately simulating the operating status of the power transmission equipment at different times.

[0088] For ease of understanding, an example is provided below. For example, the relationship between resistance R and temperature T in the model expression of the dynamic model can be expressed as R(t)=f(T(t)), where f is a function that describes how resistance changes with temperature. Since temperature T itself is a function of time, that is, T=g(t), resistance R is also a function of time, that is, R(t)=f[g(t)]. Dynamic models can help understand and predict the resistance changes of power transmission equipment under different temperature conditions, especially in dynamic temperature change environments. When resistance changes with time, it will affect the dynamic changes of parameters such as current and power. For example, according to I=V / R(t), as R(t) changes, the current I will also change accordingly. Then according to P=V 2 / R(t), the power P will also change dynamically with time, thereby simulating the operating status of the power transmission equipment at different times.

[0089] S12. Based on Ohm's law and power formula, voltage parameters and resistance parameters are used to construct current relationship equations and transmission power relationship equations.

[0090] Specifically, according to Ohm's law I=V / R(t), a current relationship equation is constructed using voltage parameters and resistance parameters.

[0091] In a specific implementation, to facilitate the implementation of the method, the above process can be converted into a formula encapsulation form, where the current relationship can be as follows:

[0092]

[0093] Where, represents the current, Indicates voltage parameters, Indicates resistance parameters.

[0094] Specifically, according to the power formula P=V 2 / R(t), the transmission power relationship is constructed using voltage parameters and resistance parameters.

[0095] In a specific implementation, to facilitate the implementation of the method, the above process can be converted into a formula encapsulation form, wherein the transmission power relationship can be as follows:

[0096]

[0097] Where, Indicates the delivered power.

[0098] S13. Based on the definition of efficiency, construct an efficiency relationship.

[0099] The definition of efficiency refers to the effectiveness of the energy conversion or transmission process. It is used to analyze the performance of power transmission equipment in the reverse process of energy conversion, specifically referring to the actual power transmission efficiency.

[0100] Specifically, according to the definition of efficiency, the actual power transmission efficiency is defined as the ratio of output power to input power. The voltage parameters and resistance parameters are used to input the transmission power relationship to solve it, and the power parameters are obtained. Then, the power parameters are used to construct the efficiency relationship.

[0101] In a specific implementation, to facilitate the implementation of the method, the above process can be converted into a formula encapsulation form, where the efficiency relationship can be as follows:

[0102]

[0103] Where, Indicates efficiency, represents the input power parameter, Indicates the output power parameter.

[0104] It should be noted that the power parameters include input power parameters and output power parameters, which are calculated using the above-mentioned transmission power relationship.

[0105] Step 204 : Simultaneously establish model parameter relationship expressions to construct a dynamic model for simulating the power transmission behavior of each power transmission device.

[0106] In the embodiment of the present invention, the current relationship equation, the transmission power relationship equation, and the efficiency relationship equation are combined to construct a dynamic model for simulating the power transmission behavior of each power transmission device.

[0107] In a specific implementation, in order to facilitate the implementation of the method, the above process can be converted into a formula encapsulation form, wherein the expression of the dynamic model equation group can be as follows:

[0108]

[0109] It should be noted that the model parameters of the present invention may also include the following parameters: power output capacity, efficiency and response time of power generation equipment, transformer ratio, loss parameters and impedance, resistance, inductance, capacitance and length of transmission lines, switching characteristics and protection settings of distribution equipment, voltage, current and power factor of loads;

[0110] The steps to build a dynamic model are as follows:

[0111] The configuration parameters of the power transmission system are obtained, and the model parameters for constructing the dynamic model are determined based on the configuration parameters. The model parameters include the power output capacity, efficiency and response time of the power generation equipment, the transformer ratio, loss parameters and impedance, the resistance, inductance, capacitance and length of the transmission line, the switching characteristics and protection settings of the distribution equipment, and the voltage, current and power factor of the load.

[0112] A mathematical model corresponding to each power transmission device is established and integrated to form a dynamic model of the entire power transmission system. The integrated processing of the mathematical model represents the electrical connection relationship of the power transmission devices by establishing the node admittance matrix and impedance matrix of the power transmission system.

[0113] Compared with existing technologies, this method can more accurately describe the behavior of the power transmission system by identifying and establishing mathematical models of each device. For power transmission equipment such as power generation equipment, transformers, and lines, its power output capacity, efficiency, response time, transformation ratio, loss parameters, impedance and other parameters are taken into account, making the simulation results of the dynamic model more accurate. By integrating the mathematical models of various devices, new devices can be flexibly expanded and added. If new devices need to be considered in the model, it is only necessary to establish the mathematical model of the power transmission equipment and integrate it, which has a certain degree of scalability.

[0114] Step 205 : pre-process the real-time operating parameters, and perform dynamic simulation on the input dynamic model of the pre-processed real-time operating parameters to generate real-time simulation data.

[0115] Preprocessing refers to data cleaning, data standardization, and data formatting.

[0116] In an embodiment of the present invention, data quality and data consistency can be improved by performing data cleaning, data standardization and data formatting on real-time operating parameters.

[0117] Furthermore, it also includes:

[0118] A1. Construct a historical database for storing historical simulation data of each power transmission device and associated historical solution strategies.

[0119] In an embodiment of the present invention, a historical database is constructed for storing historical simulation data of each power transmission device and associated historical solution strategies. Let (D) be the historical database, (D=I(t) i , P(t) i , i , S i ), I(t) i Represents the historical current simulation data at the i-th time point, P(t) i represents the historical transmission power simulation data at the i-th time point, i represents the historical efficiency simulation data at the i-th time point, S i represents the solution strategy at the i-th time point.

[0120] A2. Obtain historical operating parameters of the power transmission system, and preprocess the historical operating parameters to generate preprocessed historical operating parameters.

[0121] In the embodiment of the present invention, historical operating parameters of the power transmission system are obtained and preprocessed to generate preprocessed historical operating parameters. The preprocessing here is consistent with the preprocessing method of step 205 above and will not be repeated here.

[0122] A3. Use the pre-processed historical operating parameters to input the dynamic model for dynamic simulation, and output the historical simulation data corresponding to each power transmission equipment.

[0123] In an embodiment of the present invention, preprocessed historical operating parameters are input into a dynamic model for dynamic simulation. The simultaneous equations of the dynamic model are solved to obtain historical simulation data corresponding to the power transmission behavior of each power transmission device at different operating times. The historical simulation data includes historical current simulation data, historical transmission power simulation data, and historical efficiency simulation data.

[0124] That is, the input of the model is operating parameters, which include voltage parameters and resistance parameters; the output of the model is simulation data, which includes current simulation data, power delivery simulation data, and efficiency simulation data.

[0125] Step 206: Use real-time simulation data to input a preset state evaluation coefficient function for determining the operating state of each power transmission device, and output a state evaluation coefficient.

[0126] In a specific implementation, in order to facilitate the implementation of the method, the above process can be converted into a formula encapsulation form, where the expression of the state evaluation coefficient function can be as follows:

[0127]

[0128] Where, represents the state evaluation coefficient at the i-th time point, Indicates the total number of time points, represents the real-time current simulation data at the i-th time point, represents the current weight at the i-th time point, represents the real-time transmission power simulation data at the i-th time point, represents the transmission power weight at the i-th time point, represents the real-time efficiency simulation data at the i-th time point, represents the efficiency weight at the i-th time point.

[0129] In an embodiment of the present invention, real-time current simulation data, real-time transmission power simulation data and time efficiency simulation data are used to input a preset state evaluation coefficient function for judging the operating state of each power transmission device, and a state evaluation coefficient is output.

[0130] Step 207 : Compare the state assessment coefficient with a preset state assessment coefficient threshold, and match a target solution for the power transmission system according to the comparison result.

[0131] Furthermore, step 207 may include the following sub-steps:

[0132] S21. Compare the state assessment coefficient with a preset state assessment coefficient threshold.

[0133] In the embodiment of the present invention, the state evaluation coefficient is compared with a preset state evaluation coefficient threshold.

[0134] It should be noted that the preset state assessment coefficient threshold can be set based on historical data or standards provided by the equipment manufacturer.

[0135] S22: If the state evaluation coefficient is less than the preset state evaluation coefficient threshold, the power transmission equipment is determined to be in a normal state.

[0136] In an embodiment of the present invention, if the state evaluation coefficient is less than a preset state evaluation coefficient threshold, it is determined that the power transmission device is in a normal state.

[0137] S23: If the state evaluation coefficient is greater than or equal to the preset state evaluation coefficient threshold, determine that the power transmission equipment is in an abnormal state.

[0138] In an embodiment of the present invention, if the state evaluation coefficient is greater than or equal to a preset state evaluation coefficient threshold, it is determined that the power transmission device is in an abnormal state.

[0139] S24. Searching a historical database using the real-time simulation data associated with the power transmission equipment in the abnormal state, and matching a historical solution associated with the historical simulation data consistent with the real-time simulation data as a target solution.

[0140] In an embodiment of the present invention, power transmission equipment in abnormal conditions is screened out, and real-time simulation data associated with the power transmission equipment in abnormal conditions is input into a historical database for consistency search. Historical simulation data that is consistent with the real-time simulation data is matched, and a historical solution associated with the historical simulation data is used as a target solution.

[0141] Step 208: Use the target solution to adjust the power transmission system until all power transmission devices in the power transmission system are in a normal state.

[0142] In an embodiment of the present invention, the target solution is used to adjust the power transmission system until all power transmission devices in the power transmission system are in a normal state.

[0143] Furthermore, step 208 may include the following steps:

[0144] Step 209: Based on the configuration parameters, a power network model of the power transmission system is constructed with the goal of minimizing transmission losses.

[0145] It should be noted that the power network model of the power transmission system is constructed with the goal of minimizing transmission losses. That is, in the constructed graph model, the total resistance is minimized by optimizing the transmission path, thereby reducing transmission losses. For example, in a power network consisting of multiple power stations, substations and users, the path combination from the power station to the user is found so that the total line resistance along these paths is minimized.

[0146] In this embodiment of the present invention, nodes and edges in the power network model are determined based on node parameters within the configuration parameters. Basic parameters include node parameters (such as generation node parameters, load node parameters, and substation node parameters) and line parameters (such as resistance, reactance, susceptance, and line length). Nodes represent entities in the power system, such as power stations, substations, and user nodes. For example, power stations are labeled as source nodes, user terminals are labeled as sink nodes, and intermediate facilities such as substations are labeled as intermediate nodes. Edges represent power transmission lines, and each edge is assigned corresponding attributes, such as line resistance, reactance, and capacity. For example, the transmission line connecting power station A and substation B is an edge, and its resistance might be 0.1 ohms and its capacity might be 100 megawatts.

[0147] Step 2010: Solve the power network model using a preset network optimization algorithm to obtain a transmission path with the minimum resistance sum value on the path within the power transmission system as the optimized transmission path.

[0148] It should be noted that the preset network optimization algorithms include Dijkstra's algorithm, Prim's algorithm, Kruskal's algorithm, and Bellman-Ford's algorithm. In this embodiment, the Dijkstra algorithm is preferred.

[0149] In the embodiment of the present invention, the power network model of the power transmission system is constructed with the goal of minimizing transmission loss, that is, the transmission loss is related to factors such as line resistance and current. According to the physical formula P loss =I 2 R (where P loss In the power network model, the resistance value of each transmission line is used as its weight. By solving the problem through the shortest path algorithm such as Dijkstra algorithm, the shortest path from the power generation node to the load node (that is, the path with the smallest resistance and value) can be obtained, which is the optimized transmission path.

[0150] Step 2011: Update the target solution using the optimized transport path to generate a new target solution.

[0151] In the embodiment of the present invention, the optimized transmission path is used to replace the original power transmission path to generate a new target solution.

[0152] Step 2012: Jump to the step of adjusting the power transmission system using the target solution until all power transmission devices in the power transmission system are in a normal state.

[0153] In the embodiment of the present invention, the process jumps to the step of adjusting the power transmission system using the target solution until all power transmission devices in the power transmission system are in a normal state, and the power transmission system is readjusted.

[0154] Furthermore, it also includes:

[0155] Step 2013: When the anomaly is eliminated, an adjustment report for the power transmission system is generated. The adjustment report is synchronously uploaded to the cloud for backup and supports reading from external storage media. The attributes of the adjustment report include: the power transmission equipment parameters that caused the anomaly and the target solution.

[0156] In the present invention, in response to a real-time simulation request for a power transmission system, configuration parameters and real-time operating parameters of the power transmission system are obtained; the configuration parameters are used to construct a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system; the real-time operating parameters are preprocessed, and the preprocessed real-time operating parameters are input into the dynamic model for dynamic simulation to generate real-time simulation data; the real-time simulation data is used to input a preset state evaluation coefficient function for judging the operating state of each power transmission device, and the state evaluation coefficient is output; the state evaluation coefficient is compared with a preset state evaluation coefficient threshold, and a target solution for the power transmission system is matched according to the comparison result; and the target solution is used to perform a simulation on the power transmission system. Adjustments are made until all power transmission equipment in the power transmission system is in a normal state. By constructing an accurate dynamic model for real-time power simulation, not only can the normal operating state of the power transmission system be simulated, but it can also be used to accurately predict and analyze the power transmission behavior of the power transmission system under various operating times, thereby improving the accuracy of real-time power simulation. Then, the operating state of each power transmission device in the system is accurately judged through a preset state evaluation coefficient function, and corresponding solutions are matched to power transmission equipment in an abnormal state to eliminate the abnormal state and improve the operational stability of the power transmission system. This solves the technical problem of how to achieve accurate real-time power simulation and thus improve the operational stability of the power transmission system.

[0157] See also Figure 3 , Figure 3 This is a structural block diagram of a real-time simulation system for a power transmission system based on a dynamic model provided in the third embodiment of the present invention.

[0158] The present invention provides a real-time simulation system for a power transmission system based on a dynamic model, comprising:

[0159] A response module 301 is configured to respond to a real-time simulation request for a power transmission system and obtain configuration parameters and real-time operating parameters of the power transmission system;

[0160] A model building module 302 is configured to use the configuration parameters to build a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system;

[0161] The simulation module 303 is used to pre-process the real-time operating parameters and input the pre-processed real-time operating parameters into the dynamic model for dynamic simulation to generate real-time simulation data;

[0162] A state evaluation module 304 is configured to use real-time simulation data to input a preset state evaluation coefficient function for determining the operating state of each power transmission device, and output a state evaluation coefficient;

[0163] A solution matching module 305 is configured to compare the state evaluation coefficient with a preset state evaluation coefficient threshold and match a target solution for the power transmission system based on the comparison result;

[0164] The adjustment module 306 is configured to adjust the power transmission system using the target solution until all power transmission devices in the power transmission system are in a normal state.

[0165] Furthermore, the model building module 302 includes:

[0166] A model parameter submodule is used to determine the model parameters for constructing a dynamic model from the configuration parameters;

[0167] Model parameter relational expression submodule, used to introduce time variables into model parameters and construct model parameter relational expressions based on electrical principles;

[0168] The dynamic model submodule is used to jointly establish model parameter relationships and construct a dynamic model for simulating the power transmission behavior of each power transmission device.

[0169] Furthermore, the model parameter relationship submodule includes:

[0170] A first construction unit is configured to construct a current relationship equation and a transmission power relationship equation using voltage parameters and resistance parameters based on Ohm's law and a power formula;

[0171] The second construction unit is used to construct an efficiency relationship based on the efficiency definition.

[0172] Furthermore, it also includes:

[0173] a historical database module for constructing a historical database for storing historical simulation data of each power transmission device and associated historical solution strategies;

[0174] A historical operating parameter module is used to obtain historical operating parameters of the power transmission system, pre-process the historical operating parameters, and generate pre-processed historical operating parameters;

[0175] The historical simulation data module is used to use the pre-processed historical operating parameters to input the dynamic model for dynamic simulation and output the historical simulation data corresponding to each power transmission equipment.

[0176] Furthermore, the solution matching module 305 includes:

[0177] An evaluation coefficient comparison submodule is used to compare the state evaluation coefficient with a preset state evaluation coefficient threshold;

[0178] a first determination submodule, configured to determine that the power transmission device is in a normal state if the state evaluation coefficient is less than a preset state evaluation coefficient threshold;

[0179] a second determination submodule, configured to determine that the power transmission equipment is in an abnormal state if the state assessment coefficient is greater than or equal to a preset state assessment coefficient threshold;

[0180] The retrieval submodule is used to retrieve the historical database using the real-time simulation data associated with the power transmission equipment in the abnormal state, and match the historical solution associated with the historical simulation data consistent with the real-time simulation data as the target solution.

[0181] Furthermore, it also includes:

[0182] The power network model module is used to construct a power network model of the power transmission system based on configuration parameters with the goal of minimizing transmission losses;

[0183] A solution module is used to solve the power network model using a preset network optimization algorithm to obtain a transmission path with the minimum resistance and value on the path within the power transmission system as an optimized transmission path;

[0184] An updating module is used to update the target solution by adopting the optimized conveying path and generate a new target solution;

[0185] The jump module is used to jump to the step of using the target solution to adjust the power transmission system until all power transmission devices in the power transmission system are in a normal state.

[0186] In the present invention, in response to a real-time simulation request for a power transmission system, configuration parameters and real-time operating parameters of the power transmission system are obtained; the configuration parameters are used to construct a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system; the real-time operating parameters are preprocessed, and the preprocessed real-time operating parameters are input into the dynamic model for dynamic simulation to generate real-time simulation data; the real-time simulation data is used to input a preset state evaluation coefficient function for judging the operating state of each power transmission device, and the state evaluation coefficient is output; the state evaluation coefficient is compared with a preset state evaluation coefficient threshold, and a target solution for the power transmission system is matched according to the comparison result; and the target solution is used to perform a simulation on the power transmission system. Adjustments are made until all power transmission equipment in the power transmission system is in a normal state. By constructing an accurate dynamic model for real-time power simulation, not only can the normal operating state of the power transmission system be simulated, but it can also be used to accurately predict and analyze the power transmission behavior of the power transmission system under various operating times, thereby improving the accuracy of real-time power simulation. Then, the operating state of each power transmission device in the system is accurately judged through a preset state evaluation coefficient function, and corresponding solutions are matched to power transmission equipment in an abnormal state to eliminate the abnormal state and improve the operational stability of the power transmission system. This solves the technical problem of how to achieve accurate real-time power simulation and thus improve the operational stability of the power transmission system.

[0187] See also Figure 4 , Figure 4 This is a structural block diagram of a computer device provided in Example 4 of the present invention.

[0188] An electronic device according to an embodiment of the present invention includes: a memory 401 and a processor 402, wherein the memory 402 stores a computer program; when the computer program is executed by the processor 402, the processor 402 executes the real-time simulation method of a power transmission system based on a dynamic model according to any of the above embodiments.

[0189] Memory 401 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. Memory 401 has storage space 403 for program code 413 for executing any of the method steps described above. For example, storage space 403 for program code may include individual program codes 413 for implementing various steps in the method described above. These program codes may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes may be compressed, for example, in a suitable format. When executed by a processing device, these codes cause the processing device to execute the various steps in the method described above. These program codes may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes may be compressed, for example, in a suitable format. When these codes are executed by a computing and processing device, the computing and processing device is caused to execute the steps of the above-described method for real-time simulation of a power transmission system based on a dynamic model.

[0190] The fifth embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the real-time simulation method of a power transmission system based on a dynamic model as described in any of the above embodiments is implemented.

[0191] Embodiment 6 of the present invention further provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the real-time simulation method of a power transmission system based on a dynamic model as described in any of the above embodiments.

[0192] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0193] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0194] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0195] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0196] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0197] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A real-time simulation method for a power transmission system based on a dynamic model, characterized in that: include: Responding to a real-time simulation request for a power transmission system, obtaining configuration parameters and real-time operating parameters of the power transmission system; constructing a dynamic model for simulating power transmission behavior of each power transmission device in the power transmission system using the configuration parameters; Preprocessing the real-time operating parameters, and inputting the preprocessed real-time operating parameters into the dynamic model for dynamic simulation to generate real-time simulation data; Using the real-time simulation data to input a preset state evaluation coefficient function for determining the operating state of each of the power transmission devices, and outputting a state evaluation coefficient; comparing the state assessment coefficient with a preset state assessment coefficient threshold, and matching a target solution for the power transmission system according to the comparison result; Adjusting the power transmission system using the target solution until all the power transmission devices in the power transmission system are in a normal state; The step of using the configuration parameters to construct a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system includes: Determining model parameters for constructing the dynamic model from the configuration parameters; Introducing a time variable into the model parameters and constructing a model parameter relationship according to the principles of electrodynamics; Combining the model parameter relationship expressions to construct a dynamic model for simulating the power transmission behavior of each of the power transmission devices; The model parameters include voltage parameters and resistance parameters. The step of constructing a model parameter relationship according to the principle of electrical power includes: Based on Ohm's law and the power formula, the voltage parameter and the resistance parameter are used to construct a current relationship formula and a transmission power relationship formula; Based on the definition of efficiency, construct the efficiency relationship; Also includes: Based on the configuration parameters, constructing a power network model of the power transmission system with the goal of minimizing transmission losses; Solving the power network model using a preset network optimization algorithm to obtain a transmission path with the smallest sum of resistances within the power transmission system as an optimized transmission path; Updating the target solution using the optimized delivery path to generate a new target solution; Jump to the step of adjusting the power transmission system by adopting the target solution until all the power transmission devices in the power transmission system are in a normal state.

2. The real-time simulation method for a power transmission system based on a dynamic model according to claim 1, characterized in that: Before the step of using the real-time simulation data to input a preset state evaluation coefficient function for determining the operating state of each of the power transmission devices and outputting a state evaluation coefficient, the method further includes: Building a historical database for storing historical simulation data of each of the power transmission devices and associated historical solutions; Acquiring historical operating parameters of the power transmission system, and preprocessing the historical operating parameters to generate preprocessed historical operating parameters; The pre-processed historical operating parameters are input into the dynamic model to perform dynamic simulation, and historical simulation data corresponding to each of the power transmission devices is output.

3. The real-time simulation method for a power transmission system based on a dynamic model according to claim 2, characterized in that: The step of comparing the state assessment coefficient with a preset state assessment coefficient threshold and matching the target solution of the power transmission system according to the comparison result includes: comparing the state assessment coefficient with a preset state assessment coefficient threshold; If the state evaluation coefficient is less than the preset state evaluation coefficient threshold, determining that the power transmission device is in a normal state; If the state evaluation coefficient is greater than or equal to the preset state evaluation coefficient threshold, determining that the power transmission device is in an abnormal state; The historical database is searched using real-time simulation data associated with the power transmission equipment in an abnormal state, and a historical solution associated with the historical simulation data consistent with the real-time simulation data is matched as a target solution.

4. A real-time simulation system for a power transmission system based on a dynamic model, characterized in that: The real-time simulation system for a power transmission system based on a dynamic model is used to implement the real-time simulation method for a power transmission system based on a dynamic model according to any one of claims 1 to 3. The real-time simulation system for a power transmission system based on a dynamic model comprises: a response module, configured to respond to a real-time simulation request for a power transmission system and obtain configuration parameters and real-time operating parameters of the power transmission system; a model building module, configured to use the configuration parameters to build a dynamic model for simulating power transmission behavior of each power transmission device in the power transmission system; A simulation module, configured to pre-process the real-time operating parameters and input the pre-processed real-time operating parameters into the dynamic model for dynamic simulation to generate real-time simulation data; a state assessment module, configured to use the real-time simulation data to input a preset state assessment coefficient function for determining the operating state of each of the power transmission devices, and output a state assessment coefficient; a solution matching module, configured to compare the state assessment coefficient with a preset state assessment coefficient threshold, and match a target solution for the power transmission system according to the comparison result; An adjustment module is configured to adjust the power transmission system using the target solution until all the power transmission devices in the power transmission system are in a normal state.

5. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the real-time simulation method of a power transmission system based on a dynamic model according to any one of claims 1 to 3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the real-time simulation method for a power transmission system based on a dynamic model according to any one of claims 1 to 3 is implemented.

7. A computer program product, characterized in that The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program includes program instructions. When the program instructions are executed by a computer, the computer is caused to perform the real-time simulation method for a power transmission system based on a dynamic model according to any one of claims 1 to 3.

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