CN111244972B - Method and device for improving stability of power system, electronic device and storage medium - Google Patents
Method and device for improving stability of power system, electronic device and storage medium Download PDFInfo
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- 238000010248 power generation Methods 0.000 claims abstract description 15
- 238000004590 computer program Methods 0.000 claims description 11
- 238000006243 chemical reaction Methods 0.000 claims description 7
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- HDRXZJPWHTXQRI-BHDTVMLSSA-N diltiazem hydrochloride Chemical compound [Cl-].C1=CC(OC)=CC=C1[C@H]1[C@@H](OC(C)=O)C(=O)N(CC[NH+](C)C)C2=CC=CC=C2S1 HDRXZJPWHTXQRI-BHDTVMLSSA-N 0.000 claims description 3
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention relates to a method, a device, an electronic device and a storage medium for improving the stability of a power system, which are used for a power system dominated by a 4-type wind driven generator, and the method comprises the following steps: constructing a power system model and a 4-type wind power generator model; determining a range of weak interaction modes of the power system model; adjusting the permeability of a fan in the 4-type wind power generation model according to the range of the weak interaction mode, so that the power system model is in the weak interaction mode; according to the method, the power system and the wind power generator model are established, the range of the weak interaction mode of the power system model is determined through the model, the permeability of the fan in the 4-type generator is adjusted according to the range of the weak interaction mode, so that the system is in the weak interaction mode, and the system is in the weak interaction mode and has better stability, so that the stability of the power system can be effectively improved.
Description
Technical Field
The present invention relates to the field of power system technologies, and in particular, to a method and an apparatus for improving stability of a power system, an electronic apparatus, and a storage medium.
Background
In recent years, ten million megawatt units of a 4-type wind generating set are put into operation in a northwest power grid, and the capacity of the 4-type wind generating set is continuously increased and accounts for more than one third of the total capacity of the wind generating set in China. At present, the dynamic damping of a connected power system of the 4-type wind driven generator is weak, and the power oscillation is difficult to inhibit in a small signal event, so that the stability of the system is weak.
Disclosure of Invention
The invention provides a method, a device, an electronic device and a storage medium for improving the stability of a power system, which are used for solving the technical problem that the stability of the power system connected with a 4-type wind driven generator in the prior art is weaker in a small-signal event.
The application provides a method for improving the stability of a power system, which is used for a power system dominated by a 4-type wind driven generator, and the method comprises the following steps:
constructing a power system model and a model of a 4-type wind driven generator;
determining a range of weak interaction patterns of the power system model;
and adjusting the permeability of a fan in the 4-type wind power generation model according to the range of the weak interaction mode, so that the power system model is in the weak interaction mode.
The second aspect of the present application provides a device for improving stability of an electric power system, which is used for a 4-type wind power generator dominant electric power system, and the device comprises:
the modeling module is used for constructing a power system model and a 4-type wind driven generator model;
the weak interaction mode determining module is used for determining the range of the weak interaction mode of the power system model;
and the adjusting module is used for adjusting the permeability of the fan in the 4-type model according to the range of the weak interaction mode, so that the power system model is in the weak interaction mode.
A third aspect of the present application provides an electronic apparatus comprising: the method comprises a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for improving the stability of the power system provided by the first aspect when executing the computer program.
A fourth aspect of the present application provides a storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps in the method for improving the stability of a power system provided in the first aspect.
As can be seen from the foregoing embodiments of the present invention, the method for improving stability of a power system provided in the embodiments of the present application includes: constructing a power system model and a 4-type wind power generator model; determining a range of weak interaction modes of the power system model; and adjusting the permeability of the fan in the 4-type wind power generation model according to the range of the weak interaction mode, so that the power system model is in the weak interaction mode. According to the method, the power system and the wind power generator model are established, the range of the weak interaction mode of the power system model is determined through the model, the permeability of the fan in the 4-type generator is adjusted according to the range of the weak interaction mode, so that the system is in the weak interaction mode, and the system is in the weak interaction mode and has better stability, so that the stability of the power system can be effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a method for improving stability of an electric power system according to an embodiment of the present disclosure;
FIG. 2 is a diagram of an IEEE16 machine 68 bus system provided by an embodiment of the present application;
FIG. 3 is a model diagram of a model 4 type wind power generator;
FIG. 4 is a schematic diagram of a generator conversion model;
FIG. 5 is a schematic diagram of an electrical control model;
FIG. 6 is a schematic view of an shafting model;
FIG. 7 is a schematic diagram of a plant-level control model;
fig. 8 is a schematic structural diagram of an apparatus for improving stability of a power system according to an embodiment of the present disclosure;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a schematic flow chart of a method for improving stability of a power system according to an embodiment of the present application is provided, where the method is used for a power system dominated by a type 4 wind turbine, and the method includes:
101, constructing a power system model and a 4-type wind driven generator model;
in the embodiment of the present application, a power system model and a model of a type 4 wind turbine are first constructed, and analysis is performed in the constructed models.
Specifically, constructing the power system model includes:
and constructing a grid structure, loads and a node system model of the 4-type wind driven generator.
Further, constructing the model of the type 4 wind power generator comprises:
and constructing a generator conversion model, an electrical control model, a shafting model and a plant-level control model.
In the embodiment of the application, simulation analysis is carried out on a medium-scale test platform PSS/E of an IEEE16 machine 68 bus standard test system, and as shown in FIG. 2, a diagram of an IEEE16 machine 68 bus system is shown. A model of a type 4 wind power generator is constructed in the system, and is shown in FIG. 3 as a model diagram of the type 4 wind power generator. The model 4 wind power generator model comprises the following submodels: the generator conversion model, as shown in fig. 4, is a schematic diagram of the generator conversion model provided in the present application; an electrical control model, as shown in fig. 5, is a schematic diagram of an electrical control model provided in the present application; a shafting model, as shown in fig. 6, is a schematic diagram of the shafting model provided by the present application; and a plant-level control model, as shown in fig. 7, which is a schematic diagram of the plant-level control model provided in the present application.
The plant-level control model gives an active P and reactive Q output target to the power plant, the target and the shafting model together obtain a P and Q control result, and finally current output is obtained through the generator conversion model. In the plant-level control model, active and reactive outputs (Pbranch, Qbrance) obtained by the aggregation of a plurality of fans are subjected to a series of adjustments including maximum and minimum outputs and maximum and minimum frequencies to obtain output reference active and reactive outputs (Pref, Qref). And the shafting model determines the shaft torsion angle and the shaft rotation speed at the next moment according to the current active power, the shaft torsion angle and the shaft rotation speed. The input of the electric control model is the output of the plant-level control model and the shafting model, and the active and reactive current output commands are obtained through a series of control. The input of the generator conversion model is an active and reactive current output instruction, and the current output of the model is obtained through control and current management.
in the embodiment of the application, the power generation mode of the power system is divided into a non-electromechanical mode and an electromechanical mode, the small signal does not affect the power system in the non-electromechanical mode, and the small signal affects the power system in the electromechanical mode. The electromechanical mode is also divided into a strong interaction mode and a weak interaction mode, and in the strong interaction mode, a small signal has a large influence on a power system; in the weak interaction mode, the small signal has less influence on the power system. We mainly study the electromechanical model case here, and in order to enhance the stability of the power system, it is necessary to make the power system handle the weak interaction mode state. In order to realize that the power generation mode of the power system is in the weak interaction mode state, the range of the weak interaction mode of the power system needs to be determined.
Specifically, in the electromechanical mode, determining the range of weak interaction modes of the power system model includes:
acquiring an identification factor of the power system in a power generation mode;
and determining the range of the weak interaction mode of the power system model according to the identification factor.
In the embodiment of the application, the range of the weak interaction mode of the power system is determined by the identification factor of the power system in the power generation mode.
Further, acquiring the identification factor of the power system in the power generation mode comprises the following steps:
acquiring participation factors of mechanical state variables of the wind generating set influencing the power generation mode;
calculating the identification factor according to the participation factor; the calculation formula is as follows:
in the formula, IFiRepresenting the recognition factor, ω, of the power system in the i-generation modegRepresenting the generator speed, omega, of a type 4 wind generatortRepresenting the turbine speed, delta, of a type 4 wind generatorgRepresenting the generator pitch angle deviation, delta, of a 4-type wind generatortRepresenting the turbine angle deviation of a type 4 wind power generator; pkiRepresents an engagement factor;
wind turbine mechanical state variable (omega) representing influence pattern ig,ωt,δg,δt) The sum of the participation factors of (a);
representing the sum of the participation factors of all mechanical state variables of the wind generating set influencing the mode i; and said P iski＝ukivki(ii) a In the formula ukiAnd vkiAnd a kth row respectively representing an ith right eigenvector and an ith left eigenvector of a Jacobian matrix of the power system.
In general, IF IFiAnd if the current i power generation mode is far less than 1, the current i power generation mode is a non-electromechanical mode.
The selection of a replacement type 4 wind turbine in the area results in a corresponding permeability, as shown in table 1, for the replacement type 4 wind turbine in the system area and the corresponding permeability rating.
TABLE 1 Generator replacement in the System area and corresponding permeation rating
Table 1 shows details of eight permeation levels and the replaced generator. And under a shafting model, calculating and analyzing state variables participating in the wind driven generator and the strong interaction mode when the penetration level in the test system area is 50.17%. Table 2 shows the first participation factor, corresponding to the variables participating in the wind turbine and the strong interaction mode, which is closely related to the equivalent wind turbines (G9, G7 and G6) as can be seen from table 2, which is greater than 0.1.
TABLE 2 Strong interaction mode of participating wind turbines and state variables with penetration level 50.17%
Therefore, the wind driven generators which are closely related to the strong interaction mode of the power system model are determined through the identification factors, and the simulation results of the power system model established after any one of the generators is removed under the influence of small signals are respectively analyzed to determine whether the power system is in the weak interaction mode.
And 103, adjusting the permeability of the fan in the 4-type wind power generation model according to the range of the weak interaction mode, so that the power system is in the weak interaction mode.
In the embodiment of the present application, after the range of the weak interaction mode is determined, the generators determined to be closely related to the strong interaction mode in step 102 are deleted to adjust the wind turbine permeability in the model of the type 4 wind turbine, so that the power system model is in the weak interaction mode.
As shown in fig. 8, a schematic structural diagram of an apparatus for improving stability of an electrical power system according to an embodiment of the present application, the apparatus is used for an electrical power system dominated by a type 4 wind turbine, and the apparatus includes:
the modeling module 801 is used for constructing a power system model and a model of a 4-type wind driven generator;
a weak interaction mode determination module 802 for determining a range of weak interaction modes of the power system model;
and the adjusting module 803 is configured to adjust the blower permeability in the 4-type model according to the range of the weak interaction mode, so that the power system model is in the weak interaction mode.
It can be understood that the functions of the modules of the apparatus for improving the stability of the power system provided in the embodiment of the present application are the same as the contents of the steps in the method for improving the stability of the power system provided in the embodiment of fig. 1, and are not described again here.
A third aspect of the embodiments of the present application provides an electronic device, which may be used to implement the method for improving the stability of the power system in the foregoing embodiments, as shown in fig. 9, the electronic device mainly includes: memory 901, processor 902, bus 903, and computer programs stored on memory 901 and executable on processor 902, memory 901 and processor 902 connected by bus 903. The processor 902, when executing the computer program, implements the communication noise reduction method in the foregoing embodiments. Wherein the number of processors may be one or more.
The Memory 901 may be a high-speed Random Access Memory (RAM) Memory or a non-volatile Memory (non-volatile Memory), such as a magnetic disk Memory. The memory 901 is used for storing executable program code, and the processor 902 is coupled to the memory 901.
Further, an embodiment of the present application also provides a storage medium, which may be disposed in the electronic device in the foregoing embodiments, and the computer-readable storage medium may be the memory in the foregoing embodiment shown in fig. 9.
The storage medium has stored thereon a computer program which, when executed by a processor, implements the communication noise reduction method in the foregoing embodiments. Further, the computer-readable storage medium may be various media that can store program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a RAM, a magnetic disk, or an optical disk.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In view of the above description of the technical solutions provided by the present invention, those skilled in the art will recognize that there may be variations in the technical solutions and the application ranges according to the concepts of the embodiments of the present invention, and in summary, the content of the present specification should not be construed as limiting the present invention.
Claims (7)
1. A method of improving power system stability for a model 4 wind turbine dominated power system, the method comprising:
constructing a power system model and a model of a 4-type wind driven generator;
acquiring participation factors of mechanical state variables of the wind generating set influencing the power generation mode;
calculating an identification factor according to the participation factor; the calculation formula is as follows:
in the formula, IFiRepresenting the recognition factor, ω, of the power system in the i-generation modegRepresenting the generator speed, omega, of a type 4 wind generatortRepresenting the turbine speed, delta, of a type 4 wind generatorgRepresenting the generator phase angle deviation, delta, of a type 4 wind generatortRepresenting a turbine phase angle deviation of a type 4 wind turbine; pkiRepresents an engagement factor;
wind turbine mechanical state variable (omega) representing influence pattern ig,ωt,δg,δt) The sum of the participation factors of (a);
representing the sum of the participation factors of all mechanical state variables of the wind generating set influencing the mode i; and said P iski＝ukivki(ii) a In the formula ukiAnd vkiA kth row representing an ith right eigenvector and an ith left eigenvector of a Jacobian matrix of the power system, respectively;
determining the range of weak interaction modes of the power system model according to the identification factor;
and adjusting the permeability of a fan in the 4-type wind power generation model according to the range of the weak interaction mode, so that the power system model is in the weak interaction mode.
2. The method for improving power system stability according to claim 1, wherein the adjusting the wind turbine permeability of the type 4 wind turbine model according to the range of the weak interaction mode so that the power system model is in the weak interaction mode comprises:
determining the range of the permeability of the fan of the power system model in the weak interaction mode according to the range of the weak interaction mode of the power system;
and adjusting the number of the fans in the model 4 of the wind driven generator according to the fan permeability range, so that the power system model is in a weak interaction mode.
3. The method for improving the stability of the power system according to claim 1, wherein the constructing the power system model comprises:
and constructing a grid structure, loads and a node system model of the 4-type wind driven generator.
4. The method for improving stability of a power system according to claim 1, wherein the constructing a model 4 wind turbine comprises:
and constructing a generator conversion model, an electrical control model, a shafting model and a plant-level control model.
5. An apparatus for improving stability of a power system for a model 4 wind turbine dominated power system, the apparatus comprising:
the modeling module is used for constructing a power system model and a 4-type wind driven generator model;
the weak interaction mode determining module is used for acquiring participation factors of mechanical state variables of the wind generating set influencing the power generation mode;
calculating an identification factor according to the participation factor; the calculation formula is as follows:
in the formula, IFiRepresenting the recognition factor, ω, of the power system in the i-generation modegRepresenting the generator speed, omega, of a type 4 wind generatortRepresenting the turbine speed, delta, of a type 4 wind generatorgRepresenting the generator phase angle deviation, delta, of a type 4 wind generatortRepresenting a turbine phase angle deviation of a type 4 wind turbine; pkiRepresents an engagement factor;
wind turbine mechanical state variable (omega) representing influence pattern ig,ωt,δg,δt) The sum of the participation factors of (a);
representing the sum of the participation factors of all mechanical state variables of the wind generating set influencing the mode i; and said P iski＝ukivki(ii) a In the formula ukiAnd vkiA kth row representing an ith right eigenvector and an ith left eigenvector of a Jacobian matrix of the power system, respectively;
determining the range of weak interaction modes of the power system model according to the identification factor;
and the adjusting module is used for adjusting the permeability of the fan in the 4-type wind power generator model according to the range of the weak interaction mode, so that the power system model is in the weak interaction mode.
6. An electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for improving the stability of a power system according to any one of claims 1 to 4 when executing the computer program.
7. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps in the method of improving power system stability of any one of claims 1 to 4.
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