Power transmission system real-time simulation method and system based on dynamic model

Abstract

The invention relates to the technical field of electric power simulation, and discloses an electric power transmission system real-time simulation method and system based on a dynamic model, electric power real-time simulation is carried out by constructing an accurate dynamic model, the normal operation state of the electric power transmission system can be simulated, and the real-time simulation of the electric power transmission system can be realized. The method can also be used for accurately predicting and analyzing electric power transmission behaviors of the electric power transmission system in various different operation times, the electric power real-time simulation accuracy is improved, and then the operation state of each piece of electric power transmission equipment in the system is accurately judged through a preset state evaluation coefficient function. A corresponding solution is matched for the power transmission equipment in the abnormal state, the abnormal state is eliminated, and the operation stability of the power transmission system is improved; the technical problem of how to realize accurate electric power real-time simulation so as to improve the operation stability of an electric power transmission system is solved.

Description

Technical Field

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

[0002] The use of digital tools makes small-scale transmission and regional power supply compensation technology possible. The power system is becoming more and more 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. The development and testing of these controllers cannot be carried out entirely in a real power grid environment, especially some dangerous fault injection and extreme environment tests, which is to simulate and model the power grid and transmission lines and other facilities through real-time power simulation, and then directly test them on the test bench in the laboratory.

[0003] However, in a simulation environment, it is difficult to directly conduct data simulation for unrecognizable devices. This makes it impossible to collect abnormal performance of the tested equipment in a timely manner, which in turn makes it difficult to trace the source of the abnormality and determine the attribution of the abnormality. When an abnormality occurs, it is impossible to provide feedback to correct the behavior. Over time, similar abnormalities recur, which not only reduces the accuracy of the test, but also consumes a lot of 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] In response 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 by 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 of 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 comprises:

[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 principle of electrical engineering;

[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 and a transmission power relationship;

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

[0019] Optionally, before the step of using the real-time simulation data to input a preset state assessment coefficient function for judging the operating state of each of the power transmission devices and outputting a 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 for dynamic simulation, and the 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] The power network model is solved by using a preset network optimization algorithm to obtain a transmission path with the smallest resistance and value on the path in the power transmission system as an optimized transmission path;

[0031] Using the optimized delivery path to update the target solution and 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, used to respond to a real-time simulation request for a power transmission system and obtain configuration parameters and real-time operation parameters of the power transmission system;

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

[0036] A simulation module, used for preprocessing the real-time operation parameters, and inputting the preprocessed real-time operation 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, used for comparing the state evaluation coefficient with a preset state evaluation coefficient threshold, and matching a target solution of the power transmission system according to the comparison result;

[0039] An adjustment module is used to adjust 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.

[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 executes 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 items.

[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, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions, wherein 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 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; a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system is constructed using the configuration parameters; 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 of the power transmission system is matched according to the comparison result; and the target solution is used to simulate the power transmission system. Adjustments are made until all power transmission equipment in the power transmission system is in normal state; by constructing an accurate dynamic model for real-time power simulation, it 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, and then accurately judge the operating state of each power transmission equipment in the system through a preset state evaluation coefficient function, and match the corresponding solution for the power transmission equipment in an abnormal state, eliminate the abnormal state, and improve the operating stability of the power transmission system; it solves the technical problem of how to achieve accurate real-time power simulation and thus improve the operating 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 drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 creative labor.

[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 A structural block diagram of a real-time simulation system for a power transmission system based on a dynamic model provided in Embodiment 3 of the present invention;

[0049] Figure 4 This is a structural block diagram of a computer device provided in Embodiment 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 creative work are within the scope of protection of the present invention.

[0052] See also Figure 1 , Figure 1 A flowchart of the steps of a real-time simulation method for a power transmission system based on a dynamic model provided in Embodiment 1 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 operation 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] The real-time simulation request refers to a request instruction for performing real-time simulation on the 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. The basic parameters include node parameters (such as power 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 method. By setting the configuration parameters, different power transmission scenarios can be simulated.

[0058] Real-time operating parameters refer to the power parameters when the power transmission equipment 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 for real-time simulation of the power transmission system, configuration parameters and real-time operation parameters of the power transmission system are acquired.

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

[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 power transmission system: power generation and collection, power transmission, and power distribution and supply.

[0064] In the 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 dynamically simulate the input dynamic model of the pre-processed real-time operation parameters to generate real-time simulation data.

[0066] In the embodiment of the present invention, the real-time operating parameters are preprocessed, and the input dynamic model of the preprocessed real-time operating parameters is dynamically simulated to simulate the power transmission behavior of each power transmission device at different operating times, and the real-time power data of each power transmission device under the power transmission behavior is recorded 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, and 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 preset judgment threshold used to judge whether the power transmission equipment is in an abnormal state.

[0072] In the embodiment of the present invention, the state evaluation coefficient is compared with a preset state evaluation coefficient threshold value. If the state evaluation coefficient is less than the preset state evaluation coefficient threshold value, the power transmission device is determined to be in a normal state. If the state evaluation coefficient is greater than or equal to the preset state evaluation coefficient threshold value, the power transmission device is determined to be in an abnormal state. The real-time simulation data associated with the power transmission device in the abnormal state is used to search the historical database, and the historical solution associated with the historical simulation data consistent with the real-time simulation data is matched as the 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 the 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; a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system is constructed using the configuration parameters; 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 of the power transmission system is matched according to the comparison result; and the target solution is used to simulate the power transmission system. Adjustments are made until all power transmission equipment in the power transmission system is in normal state; by constructing an accurate dynamic model for real-time power simulation, it 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, and then accurately judge the operating state of each power transmission equipment in the system through a preset state evaluation coefficient function, and match the corresponding solution for the power transmission equipment in an abnormal state, eliminate the abnormal state, and improve the operating stability of the power transmission system; it solves the technical problem of how to achieve accurate real-time power simulation and thus improve the operating stability of the power transmission system.

[0077] See also Figure 2 , Figure 2A 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 operation parameters of the power transmission system.

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

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

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

[0083] In the 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 a dynamic model and are used to describe 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 according to the principles of electrical engineering.

[0085] Further, 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, the time variable (t) is introduced so that the model can describe the changes of equipment parameters over time, thereby being able to more accurately simulate 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 delivery equipment under different temperature conditions, especially in dynamic temperature change environments. When resistance changes over 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. 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 and transmission power relationship.

[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, in order 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] In the formula, represents the current, Indicates voltage parameters, Indicates resistance parameters.

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

[0095] 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 transmission power relationship can be as follows:

[0096]

[0097] In the formula, 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, it refers 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, and the voltage parameter and resistance parameter are used to input the transmission power relationship to solve it, and the power parameter is obtained, and then the power parameter is used to construct the efficiency relationship.

[0101] 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 efficiency relationship can be as follows:

[0102]

[0103] In the formula, 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 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, where 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, transformation ratio, loss parameters and impedance of transformer, resistance, inductance, capacitance and length of transmission line, switch characteristics and protection settings of distribution equipment, voltage, current and power factor of load;

[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 transformation ratio, loss parameters and impedance of the transformer, 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] Mathematical models corresponding to various power transmission devices are established, and the mathematical models corresponding to various power transmission devices are integrated to form a dynamic model of the entire power transmission system. The integrated processing of the mathematical models 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 the existing technology, this method can more accurately describe the behavior of the power transmission system by identifying and establishing the mathematical model 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 consideration, making the simulation results of the dynamic model more accurate. By integrating the mathematical models of each device, it can flexibly expand and add new equipment. If it is necessary to consider the new equipment in the model, it is only necessary to establish the mathematical model of the power transmission equipment and perform integrated processing, which has certain scalability.

[0114] Step 205 , preprocessing the real-time operation parameters, and dynamically simulating the input dynamic model of the preprocessed real-time operation parameters to generate real-time simulation data.

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

[0116] In the 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 the embodiment of the present invention, a historical database for storing historical simulation data of each power transmission device and associated historical solution strategies is constructed, and (D) is set as 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. Acquire 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 the historical operating parameters are preprocessed to generate preprocessed historical operating parameters. The preprocessing here is consistent with the preprocessing method of the above step 205 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, the pre-processed historical operating parameters are input into a dynamic model for dynamic simulation, and 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, and 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 assessment coefficient function for determining the operating state of each power transmission device, and output a state assessment 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] In the formula, 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 the 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] Further, 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 assessment coefficient is compared with a preset state assessment 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 a preset state evaluation coefficient threshold, it is determined that the power transmission equipment is in a normal state.

[0136] In the 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 a preset state evaluation coefficient threshold, it is determined that the power transmission equipment is in an abnormal state.

[0138] In the 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, using the real-time simulation data associated with the power transmission equipment in abnormal state to search the historical database, and matching the historical solution associated with the historical simulation data consistent with the real-time simulation data as the target solution.

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

[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 the 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] Further, after step 208, the following steps may be included:

[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 the embodiment of the present invention, the nodes and edges of the power network model are determined according to the node parameters in the configuration parameters. The basic parameters include node parameters (such as power generation node parameters, load node parameters and substation node parameters, etc.) and line parameters (such as resistance, reactance, susceptance and line length, etc.); nodes represent various entities in the power system, such as power stations, substations, user nodes, etc. For example, the power station is marked as a source node, the user end is marked as a sink node, and the intermediate facilities such as the substation are used as intermediate nodes. The edge represents the line for power transmission, and each edge is assigned corresponding attributes, such as the resistance, reactance, capacity, etc. of the line. For example, the transmission line connecting power station A and substation B is an edge, and its resistance value may be 0.1 ohms and its capacity may be 100 megawatts.

[0147] Step 2010: Use a preset network optimization algorithm to solve the power network model, and obtain a transmission path with the smallest resistance and value on the path in 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. The Dijkstra's algorithm is preferred in this embodiment.

[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 Represents transmission loss, I represents current, and R represents line resistance). In the power network model, the resistance value of each transmission line is used as its weight. By solving it through the shortest path algorithm such as the Dijkstra algorithm, the shortest path from the power generation node to the load node (that is, the minimum resistance and value on the path) can be obtained, that is, the optimized transmission path.

[0150] Step 2011: Update the target solution by optimizing the 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 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.

[0153] In the embodiment of the present invention, the process jumps 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, and the power transmission system is readjusted.

[0154] Furthermore, it also includes:

[0155] Step 2013: When the abnormality 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 of external storage media. The attributes of the adjustment report include: abnormal power transmission equipment parameters and target solutions.

[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; a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system is constructed using the configuration parameters; 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 of the power transmission system is matched according to the comparison result; and the target solution is used to simulate the power transmission system. Adjustments are made until all power transmission equipment in the power transmission system is in normal state; by constructing an accurate dynamic model for real-time power simulation, it 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, and then accurately judge the operating state of each power transmission equipment in the system through a preset state evaluation coefficient function, and match the corresponding solution for the power transmission equipment in an abnormal state, eliminate the abnormal state, and improve the operating stability of the power transmission system; it solves the technical problem of how to achieve accurate real-time power simulation and thus improve the operating 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 Embodiment 3 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 used to respond to a real-time simulation request for a power transmission system and obtain configuration parameters and real-time operation parameters of the power transmission system;

[0160] A model building module 302, for building a dynamic model for simulating power transmission behavior of each power transmission device in the power transmission system by using configuration parameters;

[0161] The simulation module 303 is used to pre-process the real-time operation parameters and dynamically simulate the input dynamic model of the pre-processed real-time operation parameters to generate real-time simulation data;

[0162] A state evaluation module 304, 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 used to compare the state evaluation coefficient with a preset state evaluation coefficient threshold, and match a target solution of the power transmission system according to the comparison result;

[0164] The adjustment module 306 is used 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, used to determine model parameters for building a dynamic model from configuration parameters;

[0167] Model parameter relational expression submodule, used to introduce time variables into model parameters and construct model parameter relational expressions according to the principle of electrical engineering;

[0168] The dynamic model submodule is used to combine model parameter relationships to build a dynamic model for simulating the power transmission behavior of each power transmission device.

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

[0170] A first construction unit is used to construct a current relationship and a transmission power relationship 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, used to construct a historical database for storing historical simulation data of each power transmission device and associated historical solution strategies;

[0174] A historical operation parameter module is used to obtain historical operation parameters of the power transmission system, and pre-process the historical operation parameters to generate pre-processed historical operation 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, 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 device is in an abnormal state if the state evaluation coefficient is greater than or equal to a preset state evaluation 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 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, used to solve the power network model using a preset network optimization algorithm, and obtain a transmission path with the smallest resistance and value on the path in the power transmission system as an optimized transmission path;

[0184] An updating module, used for updating the target solution by adopting the optimized conveying path and generating 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; a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system is constructed using the configuration parameters; 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 of the power transmission system is matched according to the comparison result; and the target solution is used to simulate the power transmission system. Adjustments are made until all power transmission equipment in the power transmission system is in normal state; by constructing an accurate dynamic model for real-time power simulation, it 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, and then accurately judge the operating state of each power transmission equipment in the system through a preset state evaluation coefficient function, and match the corresponding solution for the power transmission equipment in an abnormal state, eliminate the abnormal state, and improve the operating stability of the power transmission system; it solves the technical problem of how to achieve accurate real-time power simulation and thus improve the operating 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 Embodiment 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 a real-time simulation method for a power transmission system based on a dynamic model according to any of the above embodiments.

[0189] The memory 401 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM, a hard disk or a ROM. The memory 401 has a storage space 403 for a program code 413 for executing any method step in the above method. For example, the storage space 403 for the program code may include individual program codes 413 for implementing the various steps in the above method, respectively. 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 code may be compressed, for example, in an appropriate form. When these codes are run by a computing and processing device, the computing and processing device performs 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 code may be compressed, for example, in an appropriate form. When these codes are executed by a computing and processing device, the computing and processing device is caused to execute the various steps in the above-described method for real-time simulation of a power transmission system based on a dynamic model.

[0190] Embodiment 5 of the present invention further provides a computer-readable storage medium on which a computer program is stored. 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, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein when the program instructions are executed by a computer, the computer executes a real-time simulation method for a power transmission system based on a dynamic model as in any of the above embodiments.

[0192] Those skilled in the art can 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 the present 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 only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, 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 interfaces, devices or units, which can be electrical, mechanical or other forms.

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

[0195] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0196] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[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 the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. 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 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: In response 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 by 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 of the power transmission system according to the comparison result; 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.

2. The real-time simulation method for a power transmission system based on a dynamic model according to claim 1, characterized in that: 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 comprises: 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 principle of electrical engineering; 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.

3. The real-time simulation method for a power transmission system based on a dynamic model according to claim 2 is characterized in that: 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: Based on Ohm's law and the power formula, the voltage parameter and the resistance parameter are used to construct a current relationship and a transmission power relationship; Based on the definition of efficiency, construct the efficiency relationship.

4. 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 judging the operating state of each of the power transmission devices and outputting a state evaluation coefficient, the step further includes: Building a historical database for storing historical simulation data of each of the power transmission devices and associated historical solution strategies; 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 for dynamic simulation, and the historical simulation data corresponding to each of the power transmission devices is output.

5. The real-time simulation method for a power transmission system based on a dynamic model according to claim 4 is 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.

6. The real-time simulation method for a power transmission system based on a dynamic model according to claim 1, characterized in that: Also includes: Based on the configuration parameters, constructing a power network model of the power transmission system with the goal of minimizing transmission losses; The power network model is solved by using a preset network optimization algorithm to obtain a transmission path with the smallest resistance and value on the path in the power transmission system as an optimized transmission path; Using the optimized delivery path to update the target solution and 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.

7. A real-time simulation system for a power transmission system based on a dynamic model, characterized in that: include: A response module, used to respond to a real-time simulation request for a power transmission system and obtain configuration parameters and real-time operation parameters of the power transmission system; A model building module, used to build a dynamic model for simulating the power transmission behavior of each power transmission device in the power transmission system by using the configuration parameters; A simulation module, used for preprocessing the real-time operation parameters, and inputting the preprocessed real-time operation 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, used for comparing the state evaluation coefficient with a preset state evaluation coefficient threshold, and matching a target solution of the power transmission system according to the comparison result; An adjustment module is used to adjust 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.

8. An electronic device, characterized in that: It 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 as described in any one of claims 1 to 6.

9. 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 as claimed in any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program comprises 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 claims 1 to 6.

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