CN111079298A - Power system dynamic hybrid simulation method and system based on ice wind weather conditions - Google Patents
Power system dynamic hybrid simulation method and system based on ice wind weather conditions Download PDFInfo
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Abstract
The invention discloses a dynamic hybrid simulation method and a dynamic hybrid simulation system for an electric power system based on ice wind weather conditions, wherein an ice wind weather and electric power system dynamic interaction influence process and a dynamic evolution process of ice disasters and wind disasters are considered, and electric power system simulation and meteorological system simulation are simultaneously set.
Description
Technical Field
The disclosure relates to the technical field of power system correlation, in particular to a dynamic hybrid simulation method and system for a power system based on ice wind weather conditions.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Extreme weather itself is a small probability event that can have high severity consequences in the power system. However, in recent years, global weather deteriorates, the probability of occurrence of extreme weather events increases, and the threat to the power system also becomes non-negligible.
The mechanism of threat to the power system is different according to the extreme weather type. The main types of the system comprise ice disasters, strong winds, thunder, geological disasters and the like, according to the statistics of power grid faults, the two types with high occurrence probability, namely the ice disasters and the strong winds, are counted, and a power system is usually attacked by two types of weather at the same time, namely the power system transmission line is covered with ice and waved under the influence of ice and wind mixed weather.
In the traditional research method, two systems are independently developed and are respectively researched. For a meteorological system, two types of modeling of a laboratory and mathematical modeling are mainly adopted, and based on different meteorological information, an icing process and a strong wind waving process are modeled to obtain the severity of extreme meteorology. The failure rates of the elements of the power system are different corresponding to different meteorological severity degrees, sampling is carried out based on the failure rates, and then the power system is simulated according to sampling results.
The inventor finds that the conventional research method cracks the two-coupling system, and has the following problems: firstly, an interactive influence process between the extreme weather and the power system is ignored, an influence mechanism of the extreme weather on the power system is not considered, and the failure rate is used as a single index to evaluate the severity of the extreme weather; and secondly, the dynamic process is ignored, the meteorological process and the electrical process are dynamic processes on the same time axis, and the traditional simulation adopts a static time section method for research, so that the rationality is lacked.
Disclosure of Invention
The dynamic hybrid simulation method and system for the power system based on the ice wind weather conditions are provided to solve the problems, the ice wind weather and power system dynamic interaction influence process and the ice disaster and wind disaster dynamic evolution process are considered, the expansion of power system simulation to the weather field is achieved, the simulation process is closer to the actual environment, the structure of the power system is optimized according to the simulation result, the adaptability of the power system to extreme weather can be effectively improved, and the working stability of the power system is improved.
In order to achieve the purpose, the following technical scheme is adopted in the disclosure:
one or more embodiments provide a dynamic hybrid simulation method for an electric power system based on an ice wind meteorological condition, which comprises the steps of setting electric power system simulation and meteorological system simulation, using real-time updated electric power system parameter data of the electric power system simulation as input meteorological system simulation of the meteorological system simulation in the simulation process, judging a fault in the meteorological system simulation, setting the fault in the electric power system to carry out the electric power system simulation, and realizing real-time updating and interaction of simulation results of the two systems.
Further, the power system dynamic hybrid simulation method based on the ice wind weather conditions specifically comprises the following steps:
inputting meteorological data into a meteorological system simulation model to execute meteorological simulation, and obtaining the icing weight on the power transmission line and the galloping amplitude of the power transmission line;
One or more embodiments provide a power system dynamic hybrid simulation system based on ice wind weather conditions, comprising:
a model building module: establishing a meteorological system simulation model for obtaining the icing weight and the power transmission line galloping amplitude according to meteorological conditions, and establishing an electric power system simulation model for simulating the operation of a power grid according to circuit parameters to obtain updated electric power system parameter data;
a simulation module: the system comprises a simulation model, a load flow calculation model and a load flow data updating model, wherein the simulation model is used for inputting parameter data of the power system to the power system for simulation, obtaining a load flow calculation result in real time and updating the load flow data of the power system in real time;
a simulation result interaction module: the power transmission line vibration amplitude value judging module is used for judging whether a fault is triggered according to the obtained icing weight on the power transmission line and the obtained power transmission line vibration amplitude value, if the fault is triggered, setting a corresponding fault in a power system simulation model, and executing electromechanical transient simulation to obtain a fault simulation result; updating parameter data of the power system according to the fault simulation result, updating meteorological data into meteorological data corresponding to the next meteorological simulation step length, and transferring the meteorological data to the simulation module; otherwise go to the simulation module.
An electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions when executed by the processor performing the steps of the method of claim.
A computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the above method.
Compared with the prior art, the beneficial effect of this disclosure is:
the method considers the dynamic interaction influence process of ice wind weather and the power system and the dynamic evolution process of ice disasters and wind disasters, simultaneously sets power system simulation and weather system simulation, in the simulation process, the data change of the power system simulation is used as the influence factor of the weather system to act on the weather system simulation, simultaneously, the fault is judged in the weather system simulation, the fault is set in the power system for simulation, the real-time interaction of the simulation results of the two systems is realized, the expansion of the power system simulation to the weather field is realized, the simulation is closer to the actual use condition, the structure of the power system is improved according to the simulation result, the adaptability of the power system to extreme weather can be effectively improved, and the working stability of the power system is improved.
The method for simulating the mixed weather and power system in consideration of the mixed weather of the ice and the wind provided by the disclosure considers the interaction influence mechanism and the dynamic process between the weather system and the power system, provides the method for simulating the influence mechanism between the two systems, and solves the problem of mixed simulation of the process with obvious difference of the two time scales.
Compared with the traditional simulation method, the simulation method provided by the disclosure is closer to the actual process, and more accurately reproduces the dynamic process of the power system under extreme weather. And the simulation process is efficient and accurate, has better reference value, and can provide sufficient analysis data for related industrial personnel.
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The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and not to limit the disclosure.
Fig. 1 is a hybrid simulation framework of the hybrid simulation method of embodiment 1 of the present disclosure;
FIG. 2 is a schematic diagram of a simulation of line icing and modeling of a simulation relationship with an electric power system according to embodiment 1 of the present disclosure;
fig. 3 is a schematic diagram of modeling a relationship simulation relationship between line galloping simulation and an electric power system in embodiment 1 of the present disclosure;
FIG. 4 is a meteorological-electric power system information interactive hybrid simulation framework according to embodiment 1 of the present disclosure;
FIG. 5 is a weather-power system step size alternating hybrid simulation framework according to embodiment 1 of the present disclosure;
FIG. 6 is a schematic structural diagram of a simulation model of an electric power system in an example of embodiment 1 of the present disclosure;
fig. 7 is a simulation result of an example of embodiment 1 of the present disclosure.
The specific implementation mode is as follows:
the present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments in the present disclosure may be combined with each other. The embodiments will be described in detail below with reference to the accompanying drawings.
Example 1
In the technical solutions disclosed in one or more embodiments, as shown in fig. 1, a power system simulation and a meteorological system simulation are set in a power system dynamic hybrid simulation method based on an ice wind meteorological condition, in the simulation process, real-time updated power system parameter data of the power system simulation is used as an input meteorological system simulation of the meteorological system simulation, a fault is judged in the meteorological system simulation, the fault is set in the power system to perform the power system simulation, and real-time updating and interaction of simulation results of the two systems are realized.
The power system simulation is to obtain the circuit parameter data of the next moment through simulation according to the known circuit parameter data, the influence factors in operation and the like, wherein the influence factors in operation comprise whether circuit faults, load changes and the like occur or not. The meteorological system simulation is to obtain influence factors influencing the line through simulation according to meteorological condition data and circuit parameter data, wherein the meteorological condition data comprise any weather meteorological conditions, such as humidity, temperature, wind, rain and snow, particles in the air and the like.
As an implementable method, the method for dynamically mixing and simulating the power system based on the ice wind weather conditions may specifically include the following steps:
the method can be initialized and set according to the historical fault data of the extreme ice wind weather conditions and experience, the simulation duration and the simulation step length comprise the total duration of hybrid simulation, the simulation duration and the step length of the weather system simulation, the load flow calculation duration and the step length in the power system simulation, and the duration and the step length of the electromechanical transient simulation of the fault in the power system simulation are identified.
Inputting meteorological data into a meteorological system simulation model to execute meteorological simulation, and obtaining the icing weight on the power transmission line and the galloping amplitude of the power transmission line;
and 6, updating the parameter data of the power system according to the fault simulation result, updating the meteorological data into meteorological data corresponding to the next meteorological simulation step length, and executing the step 3.
And 3, executing the steps 3-6 circularly until the set total hybrid simulation time length is reached.
The method combines the meteorological simulation and the power system simulation to realize the mixed simulation of the meteorological system and the power system, considers the mutual influence of the two coupling systems to realize the dynamic simulation process, and when the fault caused by the meteorological condition is detected, the fault is input into the power system simulation model to be simulated, thereby updating the parameters of the two simulation models in real time to carry out the data recording of the whole window. A full time window course of change of meteorological variables as well as electrical quantities can be provided. Based on the method for simulating the interaction mechanism between the two systems, the problem of mixed simulation of the process with obvious difference of two time scales is solved.
Optionally, the data sample set may be historical data of operation of the power system, and the operation data of the power system when ice damage and extreme weather of strong wind occur includes data of an ice coating process of the power transmission line under a corresponding meteorological condition, data of a galloping process of the power transmission line under a corresponding meteorological condition, and a fault type caused in the process.
In some embodiments, in step 1, the meteorological system simulation model may perform mathematical modeling based on an influence mechanism of meteorological conditions, including a relation between ice and snow meteorological conditions and an ice coating process on the power transmission line, and a relation between the meteorological conditions of strong wind and a galloping process of the power transmission line;
the meteorological system simulation model also comprises the relation between the current line current and the icing process on the power transmission line. And correspondingly, the step 3 also comprises the step of respectively inputting the parameter data and the meteorological data of the electric power system into a meteorological system simulation model to execute meteorological simulation so as to obtain the icing weight on the electric transmission line and the galloping amplitude of the electric transmission line.
The current is different in size, and the circuit generates heat differently, is the influence factor of circuit icing process, considers the electric system model of circuit current, considers the influence of electric power system operation, accords with actual electric power system service environment more, carries out the emulation, and the result is more accurate.
As shown in FIGS. 2 and 3, the meteorological system simulation implemented by the meteorological system simulation model includes a line icing simulation process and a line galloping simulation process.
In some embodiments, the meteorological conditions may be temperature, humidity, wind speed, wind direction and the like, and the simulation process of line icing may occur on the transmission line in the environment of temperature, humidity and the like, and the weight of the icing increases until the limit of the line bearing capacity is exceeded, so that mechanical faults such as line breakage, tower falling and the like are caused. The line galloping simulation process can be carried out on the power transmission line in the environments of wind speed, wind direction and the like, and the line galloping simulation process is low-frequency and large-amplitude galloping, so that line or line and fault object faults are caused.
The relation between ice and snow meteorological conditions, line current and the icing process on the power transmission line in the meteorological system simulation model can be specifically as follows:
in the formula, MiIs the weight of the ice coating in kg, r (t) is the radius of the ice coated transmission line in meters (m), CaIs that the icing factor can be set to 1.64, VaIs the air movement index, SwIs the wind speed, r is the radius of the transmission line, in meters (m), CwDensity of air in liquid state in kg/m3，CcIs the collection coefficient, θ1Is the angle of attack, theta, between the precipitation and the transmission line2Is the angle between wind direction and transmission line, CiIs the current thermal effect coefficient, I is the transmission line current, with unit a.
The relationship between the gale meteorological conditions and the power transmission line waving process can be specifically as follows:
wherein A is the line galloping amplitude in meters (m); a and b are constants, m is the equivalent mass of the line in kilograms (kg); k is the equivalent stiffness in newtons per meter (N/m); u is the wind speed (m/s).
The power system simulation model is used for executing circuit parameters of an electromechanical transient simulation output circuit according to circuit faults and performing load flow calculation in a fault-free state; the simulation process of the power system is transient simulation executed under fault disturbance triggered by meteorological disasters and load flow calculation in the absence of faults.
The simulation model of the power system is as follows:
in the formula (3), x and y are respectively a power system state quantity and an algebraic quantity vector; fe，GeWhich are an electromechanical transient process differential equation and a tidal flow process algebraic equation.
Judging whether to trigger the fault according to the icing weight on the power transmission line can adopt a mechanical stress analysis method, which can be specifically as follows: and analyzing the stress of the power transmission line, wherein the icing weight acts on the power transmission line, and when the sum of the icing weight and the line weight exceeds the bearing limit of the power transmission line, the power transmission line has an open circuit fault.
Optionally, as shown in fig. 3, the method is a method for combining a line galloping simulation process and an electric power system simulation system, where the meteorological information in the figure is meteorological conditions, and the method for determining whether to trigger a fault according to the power transmission line galloping amplitude specifically includes:
4-1, establishing a probability model of the line galloping amplitude and the line fault rate according to the historical fault set and the relation between the breakdown voltage and the distance between lines;
4-2, sampling is carried out according to the real-time line galloping amplitude obtained by simulation and the probability model, and whether an electrical fault is triggered or not and the fault type are judged.
Optionally, the relationship between the breakdown voltage and the distance between the lines is obtained according to barshen's law.
The information interactive simulation framework of the ice wind meteorological system and the electric power system is shown in fig. 4, and the information interactive simulation is realized by simulating each dynamic process in the two systems and disclosing the interaction influence mechanism between the two systems. And acquiring an information interactive influence mechanism between the meteorological system and the electric power system based on the meteorological information-icing weight, waving simulation-electric fault model established in the step 1.
As a further technical scheme, the method also comprises a time-alternating hybrid simulation method and a step of setting simulation step lengths of meteorological system simulation and power system simulation, wherein the simulation step length of the meteorological system is far greater than that of the power system, and the simulation step length is a data updating interval in the simulation process.
For example, in the hybrid simulation process, the simulation step length of the meteorological system is set to 1s, and the simulation time length is the same as the total time length of the hybrid simulation, that is, in the whole process, the meteorological system updates the data of the meteorological simulation once output according to 1 s. The simulation of the power system includes two: the load flow calculation and the electromechanical transient simulation when a fault occurs can set the time length and the step length of the load flow calculation and the time length and the step length of the electromechanical transient simulation. For example, when a fault occurs, the time length of the electromechanical transient simulation is set to be 20s, the step length is set to be 0.001s, namely the simulation duration of one fault is 20s, and data is updated every 0.001s, so that the simulation precision of the power system is improved, and the simulation efficiency is ensured. Meanwhile, for the power flow calculation without faults, the time interval of each operation of the power flow calculation can be set to be 20s, and the change conditions of the load at different moments are mainly considered in the power flow calculation.
The difference between the step length of the ice wind meteorological system and the simulation period of the power system is obvious, so that as shown in fig. 5, the micro-change of the meteorological system in a short time and the micro-fluctuation of the electric quantity of the power system in the absence of faults are reasonably ignored through the step length alternating simulation. The simulation of the whole process ultra-long time scale is realized by performing low-precision and large-step-length simulation on a meteorological system, high-precision and small-step-length simulation on an electric power system and two process alternative simulation during fault triggering.
The following is illustrated with an example:
as shown in FIG. 6, the PSS/E model with 6 machines and 23 nodes comprises 6 generators and 27 transmission lines, which are exposed to the weather of ice, snow and strong wind. The meteorological conditions comprise preset temperature, precipitation, wind speed and wind direction information. The simulation period in the meteorological system is 10 hours, and the simulation step length is 2 seconds; in the power system, the electromechanical transient simulation period is 20 seconds, and the simulation step length is 0.01 second. Electromechanical protection action and stability control measures are considered in electromechanical transient simulation. Triggering a line trip protection action when the line power flow exceeds the limit; and a two-wheel scheme is adopted for low-voltage load shedding, the voltage safety margin and the time margin are respectively [0.85p.u.,0.5s ] and [0.75p.u.,0.5s ], and the two-wheel scheme respectively corresponds to 20% and 40% of the load shedding of the whole network. And (5) performing 1000 times of scenario simulation, and counting fault scenarios as follows:
TABLE 1 Fault Scenario statistics
In the above scenario, sequential faults are classified into two categories depending on whether they are triggered. When no successive faults occur, namely only a few lines are disconnected, the bus voltage in the research example is generally not low, and the power grid is not unstable. On the other hand, when successive faults trigger, this can lead to grid disconnection and result in a low voltage. And due to the small scale of research calculation, the power grid is finally broken down and powered off due to the fact that sequential faults often occur. The hybrid simulation method provided by the invention can reveal the dynamic change in the whole process, taking a certain power grid power failure scene as an example:
TABLE 2 dynamic Process of a certain Power grid blackout scenario
When the 6 th fault is triggered, the line # 1 is in single-phase short circuit, the load current of the line # 15 in the 7 th fault is out of limit, a relay protection action is triggered, and then the line # 1 is tripped; further causing transformer #28, line # 2, etc. to trip out successively due to power flow violations, creating large scale successive faults in the grid. The specific derivation process is shown in FIG. 7. The broken lines in the figure are the lines and transformers that are open in successive faults, and the numbers indicate the sequence of opening.
Taking current and voltage changes as examples, as shown in fig. 7. Line # 5 is short-circuited and tripped at time 2:27:00, so the current goes to zero at this time. The line # 13 is in single-phase short circuit at the time of 4:07:12, the current drops to zero, then the switch is switched on, and the current is recovered; and the current drops to zero due to tripping caused by interphase short circuit at 9:13: 48. Line # 1 has a single phase short fault at 9:02:24, causing line # 15 to open due to a tidal current violation, so line # 15 current drops to zero at this point. Therefore, the simulation method of the embodiment can realize dynamic simulation, and can provide dynamic change processes of meteorological variables and electrical quantities in the whole ultra-long simulation time window.
Example 2
The embodiment provides a dynamic hybrid simulation system of a power system based on an ice wind weather condition, which comprises:
a model building module: establishing a meteorological system simulation model for obtaining the icing weight and the power transmission line galloping amplitude according to meteorological conditions, and establishing an electric power system simulation model for simulating the operation of a power grid according to circuit parameters to obtain updated electric power system parameter data;
a simulation module: the system comprises a simulation model, a load flow calculation model and a load flow data updating model, wherein the simulation model is used for inputting parameter data of the power system to the power system for simulation, obtaining a load flow calculation result in real time and updating the load flow data of the power system in real time;
a simulation result interaction module: the power transmission line vibration amplitude value judging module is used for judging whether a fault is triggered according to the obtained icing weight on the power transmission line and the obtained power transmission line vibration amplitude value, if the fault is triggered, setting a corresponding fault in a power system simulation model, and executing electromechanical transient simulation to obtain a fault simulation result; updating parameter data of the power system according to the fault simulation result, updating meteorological data into meteorological data corresponding to the next meteorological simulation step length, and transferring the meteorological data to the simulation module; otherwise go to the simulation module.
Example 3
The present embodiment provides an electronic device comprising a memory and a processor, and computer instructions stored on the memory and executed on the processor, wherein the computer instructions, when executed by the processor, perform the steps of the method of embodiment 1.
Example 4
The present embodiment provides a computer readable storage medium for storing computer instructions which, when executed by a processor, perform the steps of the method of embodiment 1.
The electronic device provided by the present disclosure may be a mobile terminal and a non-mobile terminal, where the non-mobile terminal includes a desktop computer, and the mobile terminal includes a Smart Phone (such as an Android Phone and an IOS Phone), Smart glasses, a Smart watch, a Smart bracelet, a tablet computer, a notebook computer, a personal digital assistant, and other mobile internet devices capable of performing wireless communication.
It should be understood that in the present disclosure, the processor may be a central processing unit CPU, but may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include both read-only memory and random access memory, and may provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The steps of a method disclosed in connection with the present disclosure may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, among other storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor. To avoid repetition, it is not described in detail here. Those of ordinary skill in the art will appreciate that the various illustrative elements, i.e., algorithm steps, described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present disclosure, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is merely a division of one logic function, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, and may be in an electrical, mechanical or other form.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present disclosure. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.
Claims (10)
1. The dynamic hybrid simulation method of the power system based on the ice wind weather conditions is characterized by comprising the following steps: setting power system simulation and meteorological system simulation, in the simulation process, taking the real-time updated power system parameter data of the power system simulation as the input meteorological system simulation of the meteorological system simulation, judging a fault in the meteorological system simulation, setting the fault in the power system to carry out the power system simulation, and realizing the real-time updating and interaction of the simulation results of the two systems.
2. The method for dynamically mixing and simulating the power system based on the ice wind meteorological conditions as claimed in claim 1, which is characterized by comprising the following steps:
step 1, establishing a meteorological system simulation model for obtaining icing weight and power transmission line galloping amplitude according to meteorological conditions, and establishing an electric power system simulation model for simulating power grid operation according to circuit parameters to obtain updated electric power system parameter data;
step 2, inputting the parameter data of the power system into a power system simulation model for simulation, obtaining a load flow calculation result in real time, and updating the load flow data of the power system in real time;
inputting meteorological data into a meteorological system simulation model to execute meteorological simulation, and obtaining the icing weight on the power transmission line and the galloping amplitude of the power transmission line;
step 3, judging whether a fault is triggered according to the obtained icing weight on the power transmission line and the obtained galloping amplitude of the power transmission line, if the fault is triggered, setting a corresponding fault in a power system simulation model, and executing electromechanical transient simulation to obtain a fault simulation result; updating parameter data of the power system according to the fault simulation result, updating meteorological data into meteorological data corresponding to the next meteorological simulation step length, and executing the step 2; otherwise, directly executing the step 2.
3. The method for dynamically mixing and simulating the power system based on the ice wind meteorological conditions as claimed in claim 2, wherein: the meteorological system simulation model is used for carrying out mathematical modeling based on the influence mechanism of meteorological conditions, and comprises the relation between ice and snow meteorological conditions and the icing process on the power transmission line, and the relation between gale meteorological conditions and the galloping process of the power transmission line.
4. The method for dynamically mixing and simulating the power system based on the ice wind meteorological conditions as claimed in claim 3, wherein: the meteorological system simulation model also comprises a relation between the current line current in the electric power system circuit parameter data and the icing process on the electric transmission line;
or
And step 3, respectively inputting the circuit parameter data and the meteorological data of the electric power system into a meteorological system simulation model to execute meteorological simulation, and obtaining the icing weight on the electric transmission line and the galloping amplitude of the electric transmission line.
5. The method for dynamically mixing and simulating the power system based on the ice wind meteorological conditions as claimed in claim 2, wherein: the power system simulation model is used for executing circuit parameters of an electromechanical transient simulation output circuit according to circuit faults and performing load flow calculation in a fault-free state;
or
Judging whether to trigger a fault according to the icing weight on the power transmission line by adopting a mechanical stress analysis method, which specifically comprises the following steps: and analyzing the stress of the power transmission line, and when the sum of the ice coating weight and the line weight exceeds the bearing limit of the power transmission line, the power transmission line has an open circuit fault.
6. The method for dynamically mixing and simulating the power system based on the ice wind meteorological conditions as claimed in claim 2, wherein: the method for judging whether the fault is triggered or not according to the galloping amplitude of the power transmission line comprises the following specific steps:
establishing a probability model of the line galloping amplitude and the line fault rate according to the historical fault set and the relation between the breakdown voltage and the distance between lines;
and judging whether the electrical fault is triggered or not according to the real-time line galloping amplitude obtained by simulation and a probability model of the line galloping amplitude and the line fault rate, and determining the fault type.
7. The method for dynamically mixing and simulating the power system based on the ice wind meteorological conditions as claimed in claim 2, wherein: the method also comprises the step of setting the simulation step length of the meteorological system simulation and the power system simulation, wherein the simulation step length of the meteorological system is larger than that of the power system.
8. Power system dynamic hybrid simulation system based on ice wind weather condition, characterized by includes:
a model building module: establishing a meteorological system simulation model for obtaining the icing weight and the power transmission line galloping amplitude according to meteorological conditions, and establishing an electric power system simulation model for simulating the operation of a power grid according to circuit parameters to obtain updated electric power system parameter data;
a simulation module: the system comprises a simulation model, a load flow calculation model and a load flow data updating model, wherein the simulation model is used for inputting parameter data of the power system to the power system for simulation, obtaining a load flow calculation result in real time and updating the load flow data of the power system in real time;
a simulation result interaction module: the power transmission line vibration amplitude value judging module is used for judging whether a fault is triggered according to the obtained icing weight on the power transmission line and the obtained power transmission line vibration amplitude value, if the fault is triggered, setting a corresponding fault in a power system simulation model, and executing electromechanical transient simulation to obtain a fault simulation result; updating parameter data of the power system according to the fault simulation result, updating meteorological data into meteorological data corresponding to the next meteorological simulation step length, and transferring the meteorological data to the simulation module; otherwise go to the simulation module.
9. An electronic device comprising a memory and a processor and computer instructions stored on the memory and executable on the processor, the computer instructions when executed by the processor performing the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the method of any one of claims 1 to 7.
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| CN113221375A (en) * | 2021-05-31 | 2021-08-06 | 山东建筑大学 | Electric power system simulation method considering line icing and insulator flashover |
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