CN113868817A - Method and system for predicting stability of power system based on industrial power load simulation model - Google Patents
Method and system for predicting stability of power system based on industrial power load simulation model Download PDFInfo
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Abstract
The invention belongs to the technical field of power systems, and provides a method and a system for predicting the stability of a power system based on an industrial power load simulation model. The method comprises the steps of constructing an equivalent circuit of the industrial equipment based on the voltage and phase current of the industrial equipment; obtaining an industrial power load simulation model based on an equivalent circuit of the industrial equipment by using kirchhoff's theorem; predicting three-phase voltage, three-phase current and power data of the industrial equipment by adopting an industrial power load simulation model based on real-time three-phase current data of the industrial equipment; and evaluating whether the power system is stable or not according to the three-phase voltage, the three-phase current and the power data of the industrial equipment.
Description
Technical Field
The invention belongs to the technical field of power systems, and particularly relates to a method and a system for predicting the stability of a power system based on an industrial power load simulation model.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
In recent years, with the rapid development of electronic technology, the construction speed of the smart grid is increased. The power distribution system bears the function of supplying power to users, and along with the continuous increase of power supply load and the enlargement of the scale of the power distribution system, the establishment of an accurate load model has important significance on the stability of the distribution network system. The development and the general application of current high-power electronic technology, direct current transmission, new forms of energy are incorporated into the power networks and novel power load's proportion is bigger and bigger, and on the basis of traditional energy and alternating current-direct current transmission network, the new forms of energy are emerging, and some harmonics are more and possess the high capacity device equipment of impact nature, and electric arc furnace, fan and photovoltaic equipment are incorporated into the power networks for example, have brought serious influence for distribution network electric energy quality problem.
With the continuous improvement of the requirement of users on power supply reliability, the electric equipment of modern industrial, commercial and residential users is more sensitive to the problem of electric energy quality, and provides higher requirement on the electric energy quality in a distribution network. With the gradual understanding and understanding of load modeling, it is found that the change of the load model has different degrees of influence on the transient stability and the load flow calculation result of the system, and the change of the load model can occur essentially in the critical state.
In the sixties of the twentieth century, some load field data are collected according to field tests conducted in the United states, and the most common load models of constant impedance, constant current, constant power and the like are provided, which can influence the convergence of load flow calculation. In the eighties, a load modeling working group provides a dynamic load model and a static load model of a power system in the Western Europe international large power grid Conference (CIGRE), and a total measurement and identification method is provided based on field measured data along with the development of a computer data acquisition technology. This is the development history of the load modeling work. At present, the modeling research of industrial load aiming at actually measured data is less, the problem of industrial load harmonic wave is not solved, and the power quality of a power grid is seriously threatened.
An electric arc furnace is a device for melting charge materials by means of the high temperature generated by an electric arc. The influence of an electric arc furnace on the quality of electric energy is mainly reflected in two aspects: voltage flashover caused by furnace load surge and harmonics caused by its non-linear resistance. Secondly, the highly non-linear arc furnace load is a strong harmonic current source, which can cause grid voltage distortion and seriously affect the grid power quality. Since arc furnace loads exhibit a high degree of time-varying, aperiodic and unpredictable behavior, if the furnace load fluctuations are ignored, the effects of voltage fluctuations and flicker caused by them on the quality of the electrical energy cannot be analyzed.
Disclosure of Invention
In order to solve the technical problems existing in the background technology, the invention provides a method and a system for predicting the stability of a power system based on an industrial power load simulation model.
The process of mechanistic analysis includes:
the harmonic waves injected into a power grid by a typical industrial disturbance load are mainly generated by a rectifying circuit, and a three-phase bridge type rectifying circuit structure is three-phase symmetrical and is composed of 6 thyristors, 6 trigger pulses are needed, and therefore the three-phase bridge type rectifying circuit is called a 6-pulse rectifying circuit.
Neglecting the phase conversion process, the A-phase current at the AC side is subjected to Fourier transform. The a-phase current expression is:
from the above formula, the harmonic frequency of the current on the ac side of the rectifier circuit is 6k ± 1, i.e., 5,7,11, 13, etc.
In order to achieve the purpose, the invention adopts the following technical scheme:
a first aspect of the invention provides a method of predicting power system stability based on an industrial power load simulation model.
The method for predicting the stability of the power system based on the industrial power load simulation model comprises the following steps:
constructing an equivalent circuit of the industrial equipment based on the voltage and phase current of the industrial equipment;
obtaining an industrial power load simulation model based on an equivalent circuit of the industrial equipment by using kirchhoff's theorem;
predicting three-phase voltage, three-phase current and power data of the industrial equipment by adopting an industrial power load simulation model based on real-time three-phase current data of the industrial equipment;
and evaluating whether the power system is stable or not according to the three-phase voltage, the three-phase current and the power data of the industrial equipment.
Further, the process of obtaining the industrial power load simulation model based on the equivalent circuit of the industrial equipment by using kirchhoff's theorem includes: and obtaining a single-phase current model of the industrial equipment, a single-phase voltage model of the industrial equipment and a power model of the industrial equipment based on the single-phase equivalent circuit of the industrial equipment by adopting kirchhoff's theorem, and obtaining an industrial power load simulation model based on the single-phase current model of the industrial equipment, the single-phase voltage model of the industrial equipment and the power model of the industrial equipment.
Furthermore, the single-phase equivalent circuit of the industrial equipment is simplified according to the three-phase equivalent circuit of the industrial equipment.
Still further, the industrial apparatus comprises: and (4) merging the electric arc furnace, the fan and the photovoltaic equipment.
A second aspect of the invention provides a system for predicting power system stability based on an industrial power load simulation model.
A system for predicting power system stability based on an industrial power load simulation model comprises:
an equivalence module configured to: constructing an equivalent circuit of the industrial equipment based on the voltage and phase current of the industrial equipment;
a simulation module building module configured to: obtaining an industrial power load simulation model based on an equivalent circuit of the industrial equipment by using kirchhoff's theorem;
a prediction module configured to: predicting three-phase voltage, three-phase current and power data of the industrial equipment by adopting an industrial power load simulation model based on real-time three-phase current data of the industrial equipment;
an evaluation module configured to: and evaluating whether the power system is stable or not according to the three-phase voltage, the three-phase current and the power data of the industrial equipment.
Further, the process executed by the simulation module building module comprises: and obtaining a single-phase current model of the industrial equipment, a single-phase voltage model of the industrial equipment and a power model of the industrial equipment based on the single-phase equivalent circuit of the industrial equipment by adopting kirchhoff's theorem, and obtaining an industrial power load simulation model based on the single-phase current model of the industrial equipment, the single-phase voltage model of the industrial equipment and the power model of the industrial equipment.
Furthermore, the single-phase equivalent circuit of the industrial equipment is simplified according to the three-phase equivalent circuit of the industrial equipment.
Still further, the industrial apparatus comprises: and (4) merging the electric arc furnace, the fan and the photovoltaic equipment.
A third aspect of the invention provides a computer-readable storage medium.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in the method of predicting power system stability based on an industrial power load simulation model as described in the first aspect above.
A fourth aspect of the invention provides a computer apparatus.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the method for predicting the stability of an electrical power system based on an industrial electrical load simulation model as described in the first aspect above when executing the program.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, the electric arc furnace is selected as a typical industrial load, an industrial power load simulation model is established through fitting according to actually measured voltage, current and power data, the actually measured result is compared with the simulation result, the industrial power load simulation model is optimized, whether the power system is stable or not is evaluated according to the simulation result, and the accuracy of the stability prediction of the power system is effectively improved.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description, serve to explain the invention and not to limit the invention.
FIG. 1 is a flow chart illustrating a method for predicting power system stability based on an industrial power load simulation model according to an embodiment of the present invention;
FIG. 2 is a graph of the measured 10KV interphase voltage waveform of the electric arc furnace according to the first embodiment of the present invention;
FIG. 3 is a diagram illustrating measured three-phase current waveforms in an arc furnace according to an embodiment of the present invention;
FIG. 4 is a three-phase equivalent circuit diagram of an electric arc furnace according to an embodiment of the present invention;
FIG. 5 is a single-phase equivalent circuit diagram of an electric arc furnace according to an embodiment of the present invention;
FIG. 6 is a diagram illustrating an arc furnace load simulation model according to an embodiment of the present invention;
FIG. 7 is a phase current diagram of an electric arc furnace in accordance with an embodiment of the present invention;
fig. 8 is a graph showing a phase current spectrum at the grid side of an electric arc furnace according to an embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. 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 invention 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 exemplary embodiments according to the invention. As used herein, the singular is intended to include the plural unless the context clearly dictates otherwise, and it should be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of features, steps, operations, devices, components, and/or combinations thereof.
It is noted that the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems according to various embodiments of the present disclosure. It should be noted that each block in the flowchart or block diagrams may represent a module, a segment, or a portion of code, which may comprise one or more executable instructions for implementing the logical function specified in the respective embodiment. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Example one
As shown in fig. 1, the present embodiment provides a method for predicting stability of an electrical power system based on an industrial electrical power load simulation model, and the present embodiment is illustrated by applying the method to a server, it is understood that the method may also be applied to a terminal, and may also be applied to a system including a terminal and a server, and implemented by interaction between the terminal and the server. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network server, cloud communication, middleware service, a domain name service, a security service CDN, a big data and artificial intelligence platform, and the like. The terminal may be, but is not limited to, a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and the like. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the application is not limited herein. In this embodiment, the method includes the steps of:
constructing an equivalent circuit of the industrial equipment based on the voltage and phase current of the industrial equipment;
obtaining an industrial power load simulation model based on an equivalent circuit of the industrial equipment by using kirchhoff's theorem;
predicting three-phase voltage, three-phase current and power data of the industrial equipment by adopting an industrial power load simulation model based on real-time three-phase current data of the industrial equipment;
and evaluating whether the power system is stable or not according to the three-phase voltage, the three-phase current and the power data of the industrial equipment.
Specifically, the specific technical solution of this embodiment can be implemented according to the following steps:
in order to accurately analyze the load characteristics of the electric arc furnace, researchers carry out field voltage, current and power data acquisition work on a certain electric arc furnace. Fig. 2-3 are measured waveforms in the field.
As can be seen from the measured waveform, the arc furnace voltage and current waveforms are not standard sine waveforms, the distortion is very serious, and each phase has obvious distortion. And the electric arc furnace has larger current change amplitude and higher speed in the working period, the positive half wave and the negative half wave of the current are asymmetric, and a large amount of harmonic waves are contained.
The three-phase equivalent circuit of the arc furnace is shown in fig. 4.
In FIG. 4, Ia、Ib、IcFor three-phase currents in electric-arc furnaces, Ea、Eb、EcFor an arc furnace three-phase power supply, R is transformer and network equivalent resistance, L is transformer and network equivalent reactance, M is three-phase circuit mutual inductance, Ra、 Rb、RcIs an arc resistance. Obtaining the formula (1) according to kirchhoff's theorem:
formula (1) elimination of IcObtaining the formula (2):
since the three-phase circuit of the electric arc furnace is a symmetrical circuit, only a single-phase circuit is analyzed, and fig. 5 is a single-phase equivalent circuit of the electric arc furnace.
Applying kirchhoff's theorem to the single equivalent circuit in fig. 5 to obtain formula (3):
the state of the formula (3) is transformed to obtain the state equation (4) of the single-phase electric system of the electric arc furnace, and modeling is carried out
An equivalent model of the arc furnace load in MATLAB based on the arc furnace characteristics was built in the simulation according to the above analysis as shown in fig. 6.
The current at the grid side of the arc furnace model is shown in fig. 7, and the frequency spectrum analysis thereof is shown in fig. 8, and the harmonic current number thereof is consistent with the analysis.
The comparison shows that the current waveform simulated by the electric arc furnace load model is consistent with the actually measured waveform and has serious distortion, and the harmonic component of the electric arc furnace load current is mainly 3 harmonics according to the frequency spectrum.
The industrial power load simulation model established by the embodiment can be used for analyzing results of transient stability calculation, voltage stability calculation and the like of the power system.
When the system is disturbed greatly, the generator of the system swings relative to the power angle, and the voltage generally decreases in the previous swing period or two swing periods. At this time, the variation of the power consumed by the load with the voltage will affect the balance of the input and output power of the generator, and further affect the deviation of the power angle and the transient stability of the system. The industrial power load simulation model is beneficial to transient stability research on an actual power grid.
The voltage stability depends on whether the reactive power of the system is balanced or not to a great extent, the load power obviously changes along with the voltage of the node due to the time-varying nature of the load, and the voltage instability may be caused by the chain reaction of the reactive power and the voltage caused by the system once the system fails. Therefore, the accuracy of the industrial power load simulation model and its parameters largely determine the progress of voltage instability and voltage collapse. The voltage curves of the traditional load model and the industrial power load simulation model are obviously different, the voltage under the load model is unstable, and the voltage under the industrial power load simulation model can be quickly recovered to be stable, so that the stability of a system is facilitated.
In addition, the industrial power load simulation model can also be used for analyzing small interference stability, low-frequency oscillation and the like of the power system.
In the embodiment, the field actual measurement of voltage and current waveforms is combined, the load model building and the mechanism analysis are carried out on the typical industrial load represented by the electric arc furnace, the simulation model result and the actual measurement waveforms are compared and analyzed, the harmonic content analysis is carried out on the model current, the result accords with the mechanism analysis conclusion, and the reliability and the accuracy of the model building are proved.
Example two
The embodiment provides a system for predicting the stability of a power system based on an industrial power load simulation model.
A system for predicting power system stability based on an industrial power load simulation model comprises:
an equivalence module configured to: constructing an equivalent circuit of the industrial equipment based on the voltage and phase current of the industrial equipment;
a simulation module building module configured to: obtaining an industrial power load simulation model based on an equivalent circuit of the industrial equipment by using kirchhoff's theorem;
a prediction module configured to: predicting three-phase voltage, three-phase current and power data of the industrial equipment by adopting an industrial power load simulation model based on real-time three-phase current data of the industrial equipment;
an evaluation module configured to: and evaluating whether the power system is stable or not according to the three-phase voltage, the three-phase current and the power data of the industrial equipment.
It should be noted here that the equivalent module, the simulation module construction module, the prediction module and the evaluation module are the same as the example and the application scenario realized by the steps in the first embodiment, but are not limited to the disclosure of the first embodiment. It should be noted that the modules described above as part of a system may be implemented in a computer system such as a set of computer-executable instructions.
EXAMPLE III
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps in the method for predicting the stability of a power system based on an industrial power load simulation model as described in the first embodiment above.
Example four
The embodiment provides a computer device, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method for predicting the stability of the power system based on the industrial power load simulation model according to the first embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The method for predicting the stability of the power system based on the industrial power load simulation model is characterized by comprising the following steps of:
constructing an equivalent circuit of the industrial equipment based on the voltage and phase current of the industrial equipment;
obtaining an industrial power load simulation model based on an equivalent circuit of the industrial equipment by using kirchhoff's theorem;
predicting three-phase voltage, three-phase current and power data of the industrial equipment by adopting an industrial power load simulation model based on real-time three-phase current data of the industrial equipment;
and evaluating whether the power system is stable or not according to the three-phase voltage, the three-phase current and the power data of the industrial equipment.
2. The method for predicting the stability of the power system based on the industrial power load simulation model according to claim 1, wherein the step of obtaining the industrial power load simulation model based on the equivalent circuit of the industrial equipment by using kirchhoff's theorem comprises the following steps: and obtaining a single-phase current model of the industrial equipment, a single-phase voltage model of the industrial equipment and a power model of the industrial equipment based on the single-phase equivalent circuit of the industrial equipment by adopting kirchhoff's theorem, and obtaining an industrial power load simulation model based on the single-phase current model of the industrial equipment, the single-phase voltage model of the industrial equipment and the power model of the industrial equipment.
3. The method for predicting the stability of the power system based on the industrial power load simulation model as claimed in claim 2, wherein the single-phase equivalent circuit of the industrial equipment is simplified according to a three-phase equivalent circuit of the industrial equipment.
4. The method for predicting power system stability based on the industrial power load simulation model according to any one of claims 1-3, wherein the industrial equipment comprises: and (4) merging the electric arc furnace, the fan and the photovoltaic equipment.
5. A system for predicting power system stability based on an industrial power load simulation model is characterized by comprising:
an equivalence module configured to: constructing an equivalent circuit of the industrial equipment based on the voltage and phase current of the industrial equipment;
a simulation module building module configured to: obtaining an industrial power load simulation model based on an equivalent circuit of the industrial equipment by using kirchhoff's theorem;
a prediction module configured to: predicting three-phase voltage, three-phase current and power data of the industrial equipment by adopting an industrial power load simulation model based on real-time three-phase current data of the industrial equipment;
an evaluation module configured to: and evaluating whether the power system is stable or not according to the three-phase voltage, the three-phase current and the power data of the industrial equipment.
6. The system for predicting power system stability based on the industrial power load simulation model of claim 5, wherein the process performed by the simulation module building module comprises: and obtaining a single-phase current model of the industrial equipment, a single-phase voltage model of the industrial equipment and a power model of the industrial equipment based on the single-phase equivalent circuit of the industrial equipment by adopting kirchhoff's theorem, and obtaining an industrial power load simulation model based on the single-phase current model of the industrial equipment, the single-phase voltage model of the industrial equipment and the power model of the industrial equipment.
7. The system for predicting power system stability based on the industrial power load simulation model of claim 6, wherein the single-phase equivalent circuit of the industrial equipment is simplified according to a three-phase equivalent circuit of the industrial equipment.
8. The system for predicting power system stability based on the industrial power load simulation model according to any one of claims 5-7, wherein the industrial equipment comprises: and (4) merging the electric arc furnace, the fan and the photovoltaic equipment.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for predicting the stability of an electric power system on the basis of an industrial electric power load simulation model according to any one of claims 1 to 4.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps in the method of predicting power system stability based on an industrial power load simulation model according to any one of claims 1-4.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2783287A1 (en) * | 2011-07-26 | 2013-01-26 | General Electric Company | Devices and methods for decentralized power loss reduction control |
| CN103279626A (en) * | 2013-06-17 | 2013-09-04 | 南车株洲电力机车有限公司 | Method and system for simulation modeling |
| CN104716643A (en) * | 2015-03-06 | 2015-06-17 | 东北大学 | Node voltage stability evaluation system and method based on local measuring vector |
| CN105158540A (en) * | 2015-08-11 | 2015-12-16 | 南京师范大学 | Arc current estimation method adopting arc inductance correction factor |
| WO2015192273A1 (en) * | 2014-06-19 | 2015-12-23 | 国家电网公司 | Self-adaptive modeling apparatus for three-phase alternating-current electric arc furnace, and simulation algorithm therefor |
| CN106407576A (en) * | 2016-09-23 | 2017-02-15 | 中国商用飞机有限责任公司北京民用飞机技术研究中心 | An extracting method and system for electromagnetic radiation characteristic parameters of apparatuses |
| CN112100962A (en) * | 2020-09-29 | 2020-12-18 | 南方电网科学研究院有限责任公司 | Electromagnetic transient simulation method and system of MMC (Modular multilevel converter) |
| CN112886570A (en) * | 2021-01-18 | 2021-06-01 | 湖南大学 | High-speed railway traction power supply system comprehensive load equivalent modeling method |
-
2021
- 2021-09-30 CN CN202111161988.6A patent/CN113868817B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2783287A1 (en) * | 2011-07-26 | 2013-01-26 | General Electric Company | Devices and methods for decentralized power loss reduction control |
| CN103279626A (en) * | 2013-06-17 | 2013-09-04 | 南车株洲电力机车有限公司 | Method and system for simulation modeling |
| WO2015192273A1 (en) * | 2014-06-19 | 2015-12-23 | 国家电网公司 | Self-adaptive modeling apparatus for three-phase alternating-current electric arc furnace, and simulation algorithm therefor |
| CN104716643A (en) * | 2015-03-06 | 2015-06-17 | 东北大学 | Node voltage stability evaluation system and method based on local measuring vector |
| CN105158540A (en) * | 2015-08-11 | 2015-12-16 | 南京师范大学 | Arc current estimation method adopting arc inductance correction factor |
| CN106407576A (en) * | 2016-09-23 | 2017-02-15 | 中国商用飞机有限责任公司北京民用飞机技术研究中心 | An extracting method and system for electromagnetic radiation characteristic parameters of apparatuses |
| CN112100962A (en) * | 2020-09-29 | 2020-12-18 | 南方电网科学研究院有限责任公司 | Electromagnetic transient simulation method and system of MMC (Modular multilevel converter) |
| CN112886570A (en) * | 2021-01-18 | 2021-06-01 | 湖南大学 | High-speed railway traction power supply system comprehensive load equivalent modeling method |
Non-Patent Citations (2)
| Title |
|---|
| 张庆新;崔展博;陶勇;王路平: "钢铁企业电力负荷预测的多模型融合仿真研究", 计算机仿真, vol. 30, no. 8, 15 August 2013 (2013-08-15) * |
| 闫冬, 赵建国, 武守远: "考虑电抗器支路电阻影响的TCSC触发特性研究", 电网技术, no. 08, 5 August 2004 (2004-08-05) * |
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