Electromechanical-electromagnetic hybrid overvoltage evaluation method for firelight storage baling and delivery system

Abstract

The present application relates to the technical field of power system, and specifically provides a kind of firelight storage bundles sending system electromechanical-electromagnetic hybrid overvoltage evaluation method, method includes: with the near area transmission section of firelight storage bundles sending system as boundary, electromagnetic simulation model and electromechanical simulation model are constructed;Through electromechanical-electromagnetic data interaction interface, electromechanical simulation model and electromagnetic simulation model are coupled, and electromechanical-electromagnetic hybrid simulation model is obtained;Electromechanical-electromagnetic hybrid simulation model is set fault condition and executes simulation calculation, and the simulation voltage waveform data of each preset monitoring node of firelight storage bundles sending system is output;Overvoltage feature in simulation voltage waveform data is extracted, and based on the overvoltage feature of each monitoring node, the overvoltage evaluation result of firelight storage bundles sending system is obtained.The present application method is through electromechanical-electromagnetic hybrid simulation and comprehensive risk index quantification evaluation, while guaranteeing overvoltage analysis precision, simulation efficiency is significantly improved.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a hybrid electromechanical-electromagnetic overvoltage assessment method for a thermal-solar-storage bundled transmission system. Background Technology

[0002] With the deepening of the new power system development, bundled transmission systems characterized by multi-energy complementarity of thermal power, photovoltaics, and energy storage have become a key carrier for improving the absorption capacity of new energy sources. These systems achieve optimal energy allocation through the synergy of thermal power stability and new energy flexibility, and the bundled systems can share transmission channels, offering significant economic advantages. However, the large differences in the dynamic characteristics of multiple energy sources and the high proportion of power electronic equipment in bundled thermal-solar-storage transmission systems complicate the system's transient characteristics. When a grid fault occurs, the system experiences sudden power surges, and the mismatch between the slow regulation of thermal power units and the millisecond-level response of power electronic devices leads to the risk of transient overvoltage in bundled thermal-solar-storage transmission systems.

[0003] Existing transient overvoltage analysis techniques mainly rely on electromechanical transient simulation and all-electromagnetic transient simulation methods. However, in the scenario of bundled thermal-solar-storage power transmission systems, they face the following problems: First, traditional electromechanical transient simulation is based on power frequency phasor models for grid simulation calculations, which has certain limitations. Because electromechanical transient simulation ignores the millisecond to microsecond dynamic response processes of power electronic devices, it cannot accurately capture the switching processes of power electronic equipment such as photovoltaic inverters and energy storage converters, leading to a decrease in the simulation accuracy of switching operation overvoltages for such equipment. Second, all-electromagnetic transient simulation has a step size in the microsecond range, allowing for detailed modeling of power electronic devices and accurate capture of their switching operation overvoltages and high-frequency transient components. However, all-electromagnetic transient simulation is slow, and its simulation efficiency decreases as the system scale increases. For example, in a provincial power grid simulation with 15,000 nodes and 390 new energy inverters / converters, a 10-second all-electromagnetic transient simulation on a 192-core high-performance server takes approximately 30 minutes. At the same scale, if the penetration rate of new energy continues to increase, the simulation time will surge, making it impossible to meet the simulation needs of actual engineering projects. Third, existing overvoltage assessment technologies largely rely on manual extraction of key features such as voltage amplitude and duration. Different personnel can have differences of ±5ms in judging the start and end points of overvoltage duration in the same waveform, making manual feature extraction highly subjective and time-consuming. Furthermore, traditional methods have not established quantitative models of overvoltage features, failing to accurately locate voltage-sensitive points, leading to increased costs for surge arresters and other protective equipment. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a hybrid electromechanical-electromagnetic overvoltage assessment method for a thermal-solar-storage bundling and delivery system that takes into account accuracy, efficiency and engineering practicality.

[0005] To achieve the above objectives, the present invention is implemented using the following technical solution:

[0006] This invention provides a method for assessing the electromechanical-electromagnetic hybrid overvoltage of a thermal-solar-storage bundling and transmission system, comprising:

[0007] An electromagnetic simulation model is constructed using the near-area transmission section of the thermal-solar-storage bundled power transmission system as the boundary, and an electromechanical simulation model is established based on the power data of the external power grid.

[0008] Using the grid connection point bus of the aforementioned thermal-solar-storage bundled transmission system as the interaction boundary, an electromechanical-electromagnetic data interaction interface is set up;

[0009] By coupling the electromechanical simulation model and the electromagnetic simulation model through the electromechanical-electromagnetic data interaction interface, a hybrid electromechanical-electromagnetic simulation model is obtained.

[0010] Fault conditions are set for the electromechanical-electromagnetic hybrid simulation model and simulation calculations are performed to output the simulation voltage waveform data of each preset monitoring node of the thermal-solar-storage bundling and external transmission system.

[0011] Overvoltage characteristics are extracted from the simulated voltage waveform data. Based on the overvoltage characteristics of each preset monitoring node, the overvoltage assessment results of the thermal-solar-storage bundled transmission system are obtained.

[0012] In some embodiments of the present invention, an electromagnetic simulation model is constructed using the near-area transmission section of the thermal-solar-storage bundled power transmission system as the boundary, and an electromechanical simulation model is established based on the power data of the external power grid, including:

[0013] Obtain the site topology and equipment parameters of the bundled thermal power, solar power, and energy storage transmission system. Using the near-area secondary transmission section of the bundled thermal power, solar power, and energy storage system as the boundary, construct the electromagnetic simulation model that includes thermal power, photovoltaic power, and energy storage.

[0014] Obtain the grid structure and operating parameters of the external power grid, and construct the electromechanical simulation model.

[0015] In some embodiments of the present invention, the electromechanical simulation model and the electromagnetic simulation model are coupled through the electromechanical-electromagnetic data interaction interface, including:

[0016] The electromechanical simulation model outputs the boundary voltage phasor of the grid connection point bus to the electromagnetic simulation model, which serves as the boundary input condition for the electromagnetic transient simulation.

[0017] The electromagnetic simulation model outputs the injected current value of the grid connection point bus to the electromechanical simulation model, which serves as the node injection amount for electromechanical transient simulation.

[0018] The electromagnetic transient simulation and the electromechanical transient simulation are synchronously iterated according to the step size matching mechanism to keep the electrical quantities at the grid connection point bus consistent.

[0019] In some embodiments of the present invention, after coupling the electromechanical simulation model and the electromagnetic simulation model through the electromechanical-electromagnetic data interaction interface to obtain the electromechanical-electromagnetic hybrid simulation model, the method further includes: performing accuracy verification on the electromechanical-electromagnetic hybrid simulation model.

[0020] The accuracy of the electromechanical-electromagnetic hybrid simulation model is verified, including:

[0021] Construct a full electromagnetic simulation model of the thermal-solar-storage bundled transmission system and the external power grid;

[0022] The electromechanical-electromagnetic hybrid simulation model and the all-electromagnetic simulation model are set to the same working conditions and simulation calculations are performed to output the simulation voltage waveform data of each preset monitoring node of the thermal-solar-storage bundled transmission system in two sets.

[0023] Overvoltage features were extracted from the two sets of simulated voltage waveform data respectively;

[0024] By comparing the two sets of simulated voltage waveform data and the overvoltage characteristics, the accuracy of the electromechanical-electromagnetic hybrid simulation model is verified to meet the preset requirements.

[0025] In some embodiments of the present invention, the overvoltage characteristics include transient overvoltage peak value and voltage effective value over-limit duration;

[0026] The transient overvoltage peak value is the maximum instantaneous voltage value during the transient fault process;

[0027] The duration of the voltage effective value exceeding the limit is the cumulative duration during which the voltage effective value continuously exceeds the safety threshold of the corresponding voltage level.

[0028] In some embodiments of the present invention, the overvoltage assessment results of the thermal-solar-storage bundled transmission system are obtained based on the overvoltage characteristics of each preset monitoring node, including:

[0029] The voltage amplitude deviation factor is obtained based on the ratio of the peak value of the transient overvoltage to the reference voltage of the corresponding voltage level.

[0030] The overvoltage duration factor is obtained based on the ratio of the over-limit duration of the effective voltage value to the reference withstand duration of the corresponding voltage level.

[0031] The voltage amplitude deviation factor and the overvoltage duration factor are weighted and fused according to preset weights to obtain a comprehensive risk index;

[0032] Based on the comprehensive risk index, the overvoltage risk level of the corresponding monitoring node is obtained.

[0033] In some embodiments of the present invention, the formula for calculating the comprehensive risk index is as follows:

[0034] ;

[0035] ;

[0036] ;

[0037] in, This is a comprehensive risk index; This is the voltage amplitude deviation factor; This is the overvoltage duration factor; As the weight for voltage amplitude deviation, Weighted by overvoltage duration. ; This represents the peak value of the transient overvoltage. This is the reference voltage for the corresponding voltage level; The duration of the valid value exceeding the limit; This is the reference withstand time for the corresponding voltage level.

[0038] In some embodiments of the present invention, the overvoltage risk level of the corresponding monitoring node is obtained based on the comprehensive risk index, including:

[0039] If the comprehensive risk index is not greater than 1.0, the corresponding monitoring node is determined to be at a low risk level.

[0040] If the comprehensive risk index is greater than 1.0 and not greater than 2.0, the corresponding monitoring node is determined to be at a medium risk level.

[0041] If the comprehensive risk index is greater than 2.0, the corresponding monitoring node is determined to be at a high risk level.

[0042] Secondly, the present invention also provides an electronic device, comprising: a processor, and a memory storing a program, the program including instructions that, when executed by the processor, cause the processor to perform the above-described electromechanical-electromagnetic hybrid overvoltage assessment method for a fire-light-storage bundling and delivery system.

[0043] Thirdly, the present invention also provides a non-transient machine-readable medium storing computer instructions for causing the computer to execute the above-described electromechanical-electromagnetic hybrid overvoltage assessment method for a fire-light-storage bundling and delivery system.

[0044] Compared with the prior art, the above-described technical solution of the present invention has the following advantages:

[0045] The electromechanical-electromagnetic hybrid overvoltage assessment method for bundled thermal-solar-storage transmission systems provided by this invention constructs an electromechanical-electromagnetic hybrid simulation model with the near-area transmission section as the boundary. This method accurately depicts the transient characteristics of power electronic equipment such as thermal power, photovoltaic, and energy storage devices while significantly reducing the computational burden, effectively solving the problems of high resource consumption in traditional all-electromagnetic simulation and the inability of pure electromechanical simulation to accurately capture overvoltage details. Secondly, this invention designs an automated overvoltage feature extraction method, which can automatically extract key parameters such as transient peak values ​​and effective value over-limit duration from the voltage waveform output by the hybrid simulation. This achieves fully automated processing from simulation data to risk assessment, replacing the cumbersome manual wave-by-wave analysis method and significantly improving assessment efficiency and objectivity. Finally, this invention introduces a comprehensive risk index, which quantitatively classifies and assesses multi-voltage level buses by weighted fusion of voltage amplitude deviation factors and duration factors. This can quickly screen out overvoltage-sensitive nodes, providing a clear basis for optimizing protection measures such as surge arrester configuration and insulation coordination. This reduces redundant protection investment while ensuring system safety, demonstrating good engineering practicality and promotional value. Attached Figure Description

[0046] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention, and those skilled in the art can obtain other embodiments based on these drawings without creative effort.

[0047] Figure 1 This is a flowchart illustrating the electromechanical-electromagnetic hybrid overvoltage assessment method for a thermal-solar-storage bundling and external transmission system provided in an embodiment of the present invention.

[0048] Figure 2 This is a topology diagram of the thermal energy storage bundling and external transmission system according to an embodiment of the present invention;

[0049] Figure 3 This is a schematic diagram of the electromechanical-electromagnetic data interaction interface according to an embodiment of the present invention;

[0050] Figure 4 This is a schematic diagram comparing the hybrid simulation results and the all-electromagnetic simulation results under working condition 1 in this embodiment of the invention;

[0051] Figure 5 This is a schematic diagram comparing the hybrid simulation results and the all-electromagnetic simulation results under working condition 2 in this embodiment of the invention;

[0052] Figure 6 This is a schematic diagram of the fault point of the fire-light-storage bundling and external delivery system in an embodiment of the present invention;

[0053] Figure 7 This is a functional schematic diagram of the transient overvoltage calculation module according to an embodiment of the present invention;

[0054] Figure 8 This is the simulated voltage waveform of each busbar in the electromechanical-electromagnetic hybrid simulation model under operating condition 2 in this embodiment of the invention;

[0055] Figure 9 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0056] Embodiments of the present invention will now be described in more detail with reference to the accompanying drawings. While some embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of protection of the present invention.

[0057] like Figure 1 As shown in the figure, this embodiment of the invention provides a method for evaluating the electromechanical-electromagnetic hybrid overvoltage of a thermal-solar-storage bundling and transmission system. Figure 1 This is a flowchart illustrating a hybrid electromechanical-electromagnetic overvoltage assessment method for a bundled thermal-solar-storage power transmission system. This flowchart only shows the logical sequence of the method in this embodiment; however, in other possible embodiments of the invention, different methods may be used, provided there are no conflicts. Figure 1 Complete the steps shown or described in the order indicated.

[0058] See Figure 1 The method of this invention specifically includes the following steps:

[0059] Step S101: Using the near-area transmission section of the thermal-solar-storage bundled transmission system as the boundary, construct an electromagnetic simulation model and establish an electromechanical simulation model based on the power data of the external power grid.

[0060] This step specifically includes:

[0061] Step S1011: Obtain the site topology and equipment parameters of the bundled thermal power, solar power and energy storage transmission system. Using the near-area secondary transmission section of the bundled thermal power, solar power and energy storage transmission system as the boundary, construct an electromagnetic simulation model that includes thermal power, photovoltaic power and energy storage.

[0062] Step S1012: Obtain the grid structure and operating parameters of the external power grid, and construct an electromechanical simulation model.

[0063] See Figure 2In one embodiment of the present invention, the thermal-solar-storage bundled transmission system mainly consists of a 600MW thermal power unit, a 60MW photovoltaic unit, and a supporting 6MW / 24MWh energy storage system, and is connected to the external power grid through dual transmission lines. The external power grid is a provincial power grid.

[0064] When constructing the electromagnetic simulation model, the electromechanical-electromagnetic domains are first divided according to the principle of near-field secondary cross-sections. The primary and secondary cross-sections connecting the photovoltaic power plant's internal network (including all inverters, energy storage, SVG, collector lines, and main transformers), the thermal power plant, and the bundled thermal-solar-storage transmission system are defined as electromagnetic transient domains. Then, based on the ADPSS (Advanced Digital Power System Simulator) electromagnetic transient program, microsecond-level step sizes are used to perform detailed modeling of equipment such as thermal power units, photovoltaic inverters, and energy storage converters within this electromagnetic transient domain. The provincial power grid model is built based on the PSASP (Power System Analysis Software Package) electromechanical transient program, using millisecond-level step sizes for equivalent modeling. The provincial power grid model covers the external large power grid area connected to the bundled thermal-solar-storage transmission system, including the power grid structure and operating parameters beyond the near-field secondary cross-sections.

[0065] Step S102: Using the grid connection point bus of the thermal-solar-storage bundled transmission system as the interaction boundary, set up the electromechanical-electromagnetic data interaction interface.

[0066] See Figure 3 The electromechanical-electromagnetic data interaction interface is set at the 220kV grid connection point bus. The grid connection point bus also serves as the interaction boundary between the electromechanical transient domain and the electromagnetic transient domain. A two-way equivalent interaction mechanism is adopted to realize the real-time interaction and synchronous calculation of electrical quantities on both sides of the boundary through the interface, ensuring the consistency of voltage and current at the boundary point.

[0067] Step S103: Through the electromechanical-electromagnetic data interaction interface, couple the electromechanical simulation model and the electromagnetic simulation model to obtain the electromechanical-electromagnetic hybrid simulation model.

[0068] The electromechanical simulation model outputs the boundary voltage phasor of the grid-connected bus to the electromagnetic simulation model, which serves as the boundary input condition for the electromagnetic transient simulation; the electromagnetic simulation model outputs the injected current value of the grid-connected bus to the electromechanical simulation model, which serves as the node injection quantity for the electromechanical transient simulation.

[0069] In this embodiment of the invention, the electromechanical side performs Thevenin equivalents on the electromagnetic side to provide boundary voltage phasors for electromagnetic transient simulation; the electromagnetic side performs Norton equivalents on the electromechanical side to provide injection current values ​​for electromechanical transient simulation.

[0070] In this process, electromagnetic transient simulation and electromechanical transient simulation are synchronously iterated according to a step size matching mechanism to maintain consistency of electrical quantities at the grid connection point bus. The step size matching mechanism ensures that the step size of electromagnetic transient simulation is an integer multiple of the step size of electromechanical transient simulation, and after each electromechanical simulation step size, a bidirectional update and synchronous verification of the boundary electrical quantities is completed on both sides.

[0071] After obtaining the electromechanical-electromagnetic hybrid simulation model, the process also includes: verifying the accuracy of the electromechanical-electromagnetic hybrid simulation model. The accuracy verification specifically includes:

[0072] Step S1031: Construct a full electromagnetic simulation model of the thermal-solar-storage bundled transmission system and the external power grid.

[0073] The all-electromagnetic simulation model is an all-electromagnetic transient reference model with the same topology and parameters as the electromechanical-electromagnetic hybrid simulation model, serving as a reference standard for accuracy verification.

[0074] Step S1032: Set the same operating conditions for the electromechanical-electromagnetic hybrid simulation model and the all-electromagnetic simulation model and perform simulation calculations, and output the simulation voltage waveform data of each preset monitoring node of the two sets of thermal-solar-storage bundled transmission systems;

[0075] The embodiments of the present invention select at least two typical operating conditions, namely the normal steady-state operating condition and the single-phase grounding fault operating condition of the power station transmission line, covering two typical scenarios: no disturbance and fault disturbance.

[0076] Specifically, operating condition 1 is the normal operating mode, with the thermal power unit started, the photovoltaic output at 100%, the energy storage fully discharged, and no faults; operating condition 2 is the normal operating mode, with the thermal power unit started, the photovoltaic output at 100%, the energy storage fully discharged, and a single-phase grounding fault occurring on the power station's outgoing line.

[0077] The grid connection point voltage, system side voltage, and new energy power station voltage (220kV bus, 35kV bus, photovoltaic inverter terminal, and energy storage terminal) were selected as monitoring nodes for the thermal-solar-storage bundled system, and the voltage waveform of each node was monitored.

[0078] Step S1033: Extract the overvoltage features from the two sets of simulated voltage waveform data respectively.

[0079] Step S1034: By comparing the two sets of simulated voltage waveform data and overvoltage characteristics, verify whether the accuracy of the electromechanical-electromagnetic hybrid simulation model meets the preset requirements.

[0080] The verification metrics include the relative error of the overvoltage peak value, the waveform correlation coefficient, and the transient decay characteristics. For example, when the relative error of the overvoltage peak value does not exceed 5%, the accuracy of the hybrid simulation model is deemed to meet engineering requirements and can be used for subsequent full-condition overvoltage assessment.

[0081] See Figure 4 and Figure 5 The simulation results of the hybrid electromechanical-electromagnetic simulation model and the all-electromagnetic simulation model were compared under operating conditions 1 and 2, respectively. The results show that the hybrid simulation and the all-electromagnetic simulation are basically consistent in key characteristics such as overvoltage peak value and waveform trend. Under the premise of ensuring accurate simulation of high-frequency dynamics of photovoltaic inverters and energy storage converters, the computational efficiency of the hybrid simulation is significantly higher than that of the all-electromagnetic simulation.

[0082] Step S104: Set fault conditions for the electromechanical-electromagnetic hybrid simulation model and perform simulation calculations, outputting the simulation voltage waveform data of each preset monitoring node of the thermal-solar-storage bundled transmission system.

[0083] See Figure 6 The fault conditions are constructed using a multi-dimensional variable combination approach, with variables including three categories: first, system operation mode, including normal double-circuit operation mode and transmission line maintenance mode; second, power output status, including thermal power unit start-up and shutdown, photovoltaic output from 10% to 100%, energy storage full discharge and no energy storage, etc.; and third, fault scenarios, including fault types such as single-phase grounding, phase-to-phase short circuit, and three-phase short circuit, set at key locations such as transmission lines and power plant transmission ends, with the fault clearing time uniformly set to 60ms, while also covering reclosing and non-reclosing strategies.

[0084] The monitoring nodes are consistent with the accuracy verification, covering all key points from the power grid side to the equipment end.

[0085] The system iterates through all preset operating conditions and performs hybrid simulation calculations one by one, outputting the instantaneous three-phase voltage waveform data of each monitoring node under each operating condition.

[0086] Step S105: Extract overvoltage characteristics from the simulated voltage waveform data, and obtain the overvoltage assessment results of the thermal-solar-storage bundled transmission system based on the overvoltage characteristics of each preset monitoring node.

[0087] Overvoltage characteristics include transient overvoltage peak value and voltage RMS over-limit duration; transient overvoltage peak value is the maximum instantaneous voltage value during the fault transient process, in kV; voltage RMS over-limit duration is the cumulative duration for which the voltage RMS value continuously exceeds the corresponding voltage level safety threshold, in seconds.

[0088] See Figure 7 In this embodiment of the invention, overvoltage feature extraction is automatically completed by a pre-built transient overvoltage calculation module. The module has built-in safety thresholds for each voltage level corresponding to the "Design Specification for Overvoltage Protection and Insulation Coordination of AC Electrical Installations", and automatically completes over-limit judgment and feature statistics, replacing manual waveform interpretation.

[0089] In this embodiment of the invention, the overvoltage assessment result of the thermal-solar-storage bundled transmission system is obtained based on the overvoltage characteristics of each preset monitoring node, which may include:

[0090] Step S1051: Obtain the voltage amplitude deviation factor based on the ratio of the peak value of the transient overvoltage to the reference voltage of the corresponding voltage level;

[0091] The formula for calculating the voltage amplitude deviation factor is as follows:

[0092] ;

[0093] in, This is the voltage amplitude deviation factor; This represents the peak value of the transient overvoltage. This is the reference voltage for the corresponding voltage level.

[0094] The reference voltage is determined according to the "Design Specification for Overvoltage Protection and Insulation Coordination of AC Electrical Installations". It corresponds to the highest operating voltage peak value of each voltage level and is used to quantify the degree of deviation of the overvoltage amplitude from the rated reference, which is directly related to the risk of instantaneous insulation breakdown of the equipment.

[0095] The "Code for Design of Overvoltage Protection and Insulation Coordination of AC Electrical Installations" stipulates the following reference voltages for different voltage levels:

[0096] 500kV: 1p.u.=550 / 3*2=449kV;

[0097] 220kV: 1p.u.=252 / 3*2=205.7kV;

[0098] 35kV: 1p.u.=40.5 / 3*2=33.06kV;

[0099] 800V: 1p.u.=1.1*800 / 3*2=718.4V.

[0100] Step S1052: Obtain the overvoltage duration factor based on the ratio of the overvoltage effective value over time to the reference withstand time of the corresponding voltage level;

[0101] The formula for calculating the overvoltage duration factor is as follows:

[0102] ;

[0103] in, This is the overvoltage duration factor; The duration of the valid value exceeding the limit; This is the reference withstand time for the corresponding voltage level.

[0104] The baseline withstand time is determined based on the thermal stability characteristics and aging withstand characteristics of the equipment insulation. The nonlinear effect of overvoltage energy accumulation is characterized by a logarithmic function. The longer the duration, the more significant the increase in the risk of insulation aging and thermal damage.

[0105] Step S1053: The voltage amplitude deviation factor and the overvoltage duration factor are weighted and fused according to preset weights to obtain a comprehensive risk index;

[0106] The formula for calculating the comprehensive risk index is as follows:

[0107] ;

[0108] in, This is a comprehensive risk index; As the weight for voltage amplitude deviation, The overvoltage duration is weighted, satisfying the weighting constraint. . and The value can be adjusted according to the importance level of the equipment and the power grid operation requirements, in order to balance the proportion of instantaneous breakdown risk and cumulative aging risk in the comprehensive assessment.

[0109] Taking working condition 2 as an example, Figure 8 Table 1 shows the instantaneous values ​​of the bus voltage at each stage under operating condition 2. Figure 8 The peak value and duration of transient overvoltage exceeding the limit for the 220kV busbar of the power station and the 220kV busbar of the thermal power plant are read from the data.

[0110] Table 1. Peak and effective values ​​of transient overvoltage exceeding limits and duration of transient overvoltage on 220kV busbars of power plants and substations.

[0111]

[0112] set up , The process of calculating the comprehensive risk index of the 220kV busbar of a thermal power plant is as follows:

[0113] ;

[0114] ;

[0115] .

[0116] set up , The process of calculating the comprehensive risk index of the 220kV busbar at the substation is as follows:

[0117] ;

[0118] ;

[0119] .

[0120] Step S1054: Based on the comprehensive risk index, obtain the overvoltage risk level of the corresponding monitoring node.

[0121] If the comprehensive risk index is no greater than 1.0, the corresponding monitoring node is determined to be of low risk level, the corresponding insulation coordination margin is sufficient, meets the specification requirements, and no additional warning is required.

[0122] If the comprehensive risk index is greater than 1.0 but not greater than 2.0, the corresponding monitoring node is determined to be at a medium risk level, the corresponding insulation margin is low, triggering an operational warning, and it needs to be included in the key monitoring scope;

[0123] If the comprehensive risk index is greater than 2.0, the corresponding monitoring node is determined to be of high risk level, the corresponding insulation level does not meet the safety requirements, and overvoltage suppression devices such as surge arresters need to be installed.

[0124] After completing the single-condition assessment, the risk levels of all monitoring nodes under all conditions are traversed, and the nodes with the highest overvoltage risk are selected as the system voltage sensitive points through horizontal comparison. The overvoltage risk distribution and sensitive point location results of the entire system are output, which directly guides the differentiated configuration of protection devices such as surge arresters in the project, and realizes the closed loop of the whole process from simulation calculation to protection decision.

[0125] An embodiment of the present invention also provides a non-transient machine-readable medium storing a computer program, wherein the computer program, when executed by a computer processor, is used to cause the computer to perform the electromechanical-electromagnetic hybrid overvoltage assessment method for a fire-solar-storage bundling and delivery system according to an embodiment of the present invention.

[0126] An embodiment of the present invention also provides a computer program product, including a computer program, wherein the computer program, when executed by a computer processor, is used to cause the computer to perform the electromechanical-electromagnetic hybrid overvoltage assessment method for a fire-solar-storage bundling and delivery system according to an embodiment of the present invention.

[0127] Embodiments of this invention also provide an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor. The memory stores a computer program executable by the at least one processor, which, when executed by the at least one processor, causes the electronic device to perform the electromechanical-electromagnetic hybrid overvoltage assessment method for a fire-solar-storage bundling and delivery system according to embodiments of this invention.

[0128] refer to Figure 9The present invention will now describe a structural block diagram of an electronic device that can serve as an embodiment of the present invention, serving as an example of a hardware device applicable to various aspects of the present invention. The electronic device is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0129] like Figure 9 As shown, the electronic device includes a computing unit 101, which can perform various appropriate actions and processes based on a computer program stored in a read-only memory (ROM) 102 or a computer program loaded from a storage unit 108 into a random access memory (RAM) 103. The RAM 103 may also store various programs and data required for the operation of the electronic device. The computing unit 101, ROM 102, and RAM 103 are interconnected via a bus 104. An input / output (I / O) interface 105 is also connected to the bus 104.

[0130] Multiple components in the electronic device are connected to I / O interface 105, including: input unit 106, output unit 107, storage unit 108, and communication unit 109. Input unit 106 can be any type of device capable of inputting information into the electronic device. Input unit 106 can receive input digital or character information and generate key signal inputs related to user settings and / or function control of the electronic device. Output unit 107 can be any type of device capable of presenting information and may include, but is not limited to, a display, speaker, video / audio output terminal, vibrator, and / or printer. Storage unit 108 may include, but is not limited to, disks and optical discs. Communication unit 109 allows the electronic device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, and / or wireless communication transceivers, such as Bluetooth devices, WiFi devices, WiMax devices, cellular communication devices, and / or the like.

[0131] The computing unit 101 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 101 include, but are not limited to, CPUs, graphics processing units (GPUs), various special-purpose artificial intelligence (AI) computing units, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. The computing unit 101 performs the various methods and processes described above. For example, in some embodiments, the method embodiments of the present invention can be implemented as computer programs tangibly contained in a machine-readable medium, such as storage unit 108. In some embodiments, part or all of the computer program can be loaded and / or installed on an electronic device via ROM 102 and / or communication unit 109. In some embodiments, the computing unit 101 can be configured to perform the methods described above by any other suitable means (e.g., by means of firmware).

[0132] Computer programs for implementing the methods of embodiments of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0133] In the context of embodiments of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable signal medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, or infrared systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0134] It should be noted that the term "comprising" and its variations used in the embodiments of this invention are open-ended, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The modifications of "one" and "a plurality" mentioned in the embodiments of this invention are illustrative and not restrictive, and those skilled in the art should understand that unless explicitly indicated otherwise in the context, they should be understood as "one or more".

[0135] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the embodiments of this invention are subject to strict compliance with relevant laws, regulations, and regulatory requirements in their collection, storage, use, processing, transmission, provision, and disclosure, and adhere to the principles of legality, legitimacy, necessity, and good faith. The acquisition of relevant information and data is premised on the user's explicit consent or other legitimate reasons, and a clear and convenient authorization management approach is provided to the user, allowing the user to independently choose to consent, withdraw consent, or refuse to provide relevant information. For functions that rely on user information, if the user does not authorize or withdraws authorization, the corresponding technical function cannot be implemented, and the technical solution of this invention is not applicable in this scenario.

[0136] The steps described in the method embodiments provided by the present invention can be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of protection of the present invention is not limited in this respect.

[0137] The term "embodiment" in this specification refers to a specific feature, structure, or characteristic described in connection with an embodiment that may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily imply the same embodiment, nor does it imply independence or alternativeity from other embodiments. The various embodiments in this specification are described in a related manner, with reference to each other for similar or identical parts. In particular, for apparatus, device, and system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, and relevant details are referred to in the description of the method embodiments.

[0138] The above embodiments merely illustrate several implementation methods of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of protection. It should be noted that those skilled in the art can make various modifications and improvements without departing from the inventive concept of the present invention, and these all fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the appended claims.

Claims

1. A hybrid electromechanical-electromagnetic overvoltage assessment method for a thermal-solar-storage bundling and delivery system, characterized in that, include: An electromagnetic simulation model is constructed using the near-area transmission section of the thermal-solar-storage bundled transmission system as the boundary, and an electromechanical simulation model is established based on the power data of the external power grid. Using the grid connection point bus of the aforementioned thermal-solar-storage bundled transmission system as the interaction boundary, an electromechanical-electromagnetic data interaction interface is set up; By coupling the electromechanical simulation model and the electromagnetic simulation model through the electromechanical-electromagnetic data interaction interface, a hybrid electromechanical-electromagnetic simulation model is obtained. Fault conditions are set for the electromechanical-electromagnetic hybrid simulation model and simulation calculations are performed to output the simulation voltage waveform data of each preset monitoring node of the thermal-solar-storage bundling and external transmission system. Overvoltage characteristics are extracted from the simulated voltage waveform data. Based on the overvoltage characteristics of each preset monitoring node, the overvoltage assessment results of the thermal-solar-storage bundled transmission system are obtained.

2. The electromechanical-electromagnetic hybrid overvoltage assessment method for the thermal-solar-storage bundling and transmission system according to claim 1, characterized in that, An electromagnetic simulation model is constructed using the near-area transmission section of the thermal-solar-storage bundled power transmission system as the boundary. An electromechanical simulation model is established based on power data from the external power grid, including: Obtain the site topology and equipment parameters of the bundled thermal power, solar power, and energy storage transmission system. Using the near-area secondary transmission section of the bundled thermal power, solar power, and energy storage system as the boundary, construct the electromagnetic simulation model that includes thermal power, photovoltaic power, and energy storage. Obtain the grid structure and operating parameters of the external power grid, and construct the electromechanical simulation model.

3. The electromechanical-electromagnetic hybrid overvoltage assessment method for the thermal-solar-storage bundling and transmission system according to claim 1, characterized in that, The electromechanical simulation model and the electromagnetic simulation model are coupled through the electromechanical-electromagnetic data interaction interface, including: The electromechanical simulation model outputs the boundary voltage phasor of the grid connection point bus to the electromagnetic simulation model, which serves as the boundary input condition for the electromagnetic transient simulation. The electromagnetic simulation model outputs the injected current value of the grid connection point bus to the electromechanical simulation model, which serves as the node injection amount for electromechanical transient simulation. The electromagnetic transient simulation and the electromechanical transient simulation are synchronously iterated according to the step size matching mechanism to keep the electrical quantities at the grid connection point bus consistent.

4. The electromechanical-electromagnetic hybrid overvoltage assessment method for a thermal-solar-storage bundling and transmission system according to claim 1, characterized in that, After coupling the electromechanical simulation model and the electromagnetic simulation model through the electromechanical-electromagnetic data interaction interface to obtain the electromechanical-electromagnetic hybrid simulation model, the method further includes: performing accuracy verification on the electromechanical-electromagnetic hybrid simulation model. The accuracy of the electromechanical-electromagnetic hybrid simulation model is verified, including: Construct a full electromagnetic simulation model of the thermal-solar-storage bundled transmission system and the external power grid; The electromechanical-electromagnetic hybrid simulation model and the all-electromagnetic simulation model are set to the same working conditions and simulation calculations are performed to output the simulation voltage waveform data of each preset monitoring node of the thermal-solar-storage bundled transmission system in two sets. Overvoltage features were extracted from the two sets of simulated voltage waveform data respectively; By comparing the two sets of simulated voltage waveform data and the overvoltage characteristics, the accuracy of the electromechanical-electromagnetic hybrid simulation model is verified to meet the preset requirements.

5. The electromechanical-electromagnetic hybrid overvoltage assessment method for a thermal-solar-storage bundling and transmission system according to claim 1, characterized in that, The overvoltage characteristics include the peak value of transient overvoltage and the duration of the effective voltage value exceeding the limit; The transient overvoltage peak value is the maximum instantaneous voltage value during the transient fault process; The duration of the voltage effective value exceeding the limit is the cumulative duration during which the voltage effective value continuously exceeds the safety threshold of the corresponding voltage level.

6. The electromechanical-electromagnetic hybrid overvoltage assessment method for a thermal-solar-storage bundling and transmission system according to claim 5, characterized in that, Based on the overvoltage characteristics of each preset monitoring node, the overvoltage assessment results of the thermal-solar-storage bundling and transmission system are obtained, including: The voltage amplitude deviation factor is obtained based on the ratio of the peak value of the transient overvoltage to the reference voltage of the corresponding voltage level. The overvoltage duration factor is obtained by comparing the overvoltage effective value over time with the reference withstand time of the corresponding voltage level. The voltage amplitude deviation factor and the overvoltage duration factor are weighted and fused according to preset weights to obtain a comprehensive risk index. Based on the comprehensive risk index, the overvoltage risk level of the corresponding monitoring node is obtained.

7. The electromechanical-electromagnetic hybrid overvoltage assessment method for a thermal-solar-storage bundling and transmission system according to claim 6, characterized in that, The formula for calculating the comprehensive risk index is as follows: ； ； ； in, This is a comprehensive risk index; This is the voltage amplitude deviation factor; This is the overvoltage duration factor; As the weight for voltage amplitude deviation, Weighted by overvoltage duration. ; This represents the peak value of the transient overvoltage. This is the reference voltage for the corresponding voltage level; The duration of the valid value exceeding the limit; This is the reference withstand time for the corresponding voltage level.

8. The electromechanical-electromagnetic hybrid overvoltage assessment method for the thermal-solar-storage bundling and transmission system according to claim 7, characterized in that, Based on the comprehensive risk index, the overvoltage risk level of the corresponding monitoring node is obtained, including: If the comprehensive risk index is not greater than 1.0, the corresponding monitoring node is determined to be at a low risk level. If the comprehensive risk index is greater than 1.0 and not greater than 2.0, the corresponding monitoring node is determined to be at a medium risk level. If the comprehensive risk index is greater than 2.0, the corresponding monitoring node is determined to be at a high risk level.

9. An electronic device, comprising: A processor and a memory storing a program, characterized in that the program includes instructions that, when executed by the processor, cause the processor to perform the electromechanical-electromagnetic hybrid overvoltage assessment method for a thermal-solar-storage bundling and delivery system according to any one of claims 1 to 8.

10. A non-transitory machine-readable medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to execute the electromechanical-electromagnetic hybrid overvoltage assessment method for the fire-solar-storage bundling and delivery system according to any one of claims 1 to 8.

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