CN116436081A - Network organization unit access capacity optimization method meeting broadband oscillation stability constraint - Google Patents

Network organization unit access capacity optimization method meeting broadband oscillation stability constraint Download PDF

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Publication number
CN116436081A
CN116436081A CN202310398082.9A CN202310398082A CN116436081A CN 116436081 A CN116436081 A CN 116436081A CN 202310398082 A CN202310398082 A CN 202310398082A CN 116436081 A CN116436081 A CN 116436081A
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China
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unit
access capacity
network
broadband oscillation
oscillation stability
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Chinese (zh)
Inventor
谢小荣
刘辉
刘朋印
吴林林
马宁宁
李蕴红
赵靖
于思奇
孙大卫
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Tsinghua University
State Grid Corp of China SGCC
State Grid Jibei Electric Power Co Ltd
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
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Tsinghua University
State Grid Corp of China SGCC
State Grid Jibei Electric Power Co Ltd
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
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Priority to CN202310398082.9A priority Critical patent/CN116436081A/en
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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
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • 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
    • H02J3/002—Flicker reduction, e.g. compensation of flicker introduced by non-linear load
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/04—Constraint-based CAD
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/04—Power grid distribution networks
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Abstract

The application relates to a networking unit access capacity optimization method meeting broadband oscillation stability constraint, wherein the method comprises the following steps: determining a unit feasible region of a networking unit; analyzing broadband oscillation stability of the network formation unit at all feasible working points, and optimizing based on the broadband oscillation stability to obtain the minimum network formation unit access capacity meeting the broadband oscillation stability constraint of the preset weak current network; and optimizing according to broadband oscillation stability constraint of a preset strong power grid to obtain the maximum access capacity of the networking unit, and obtaining the optimal access capacity range of the networking unit based on the minimum access capacity and the maximum access capacity analysis result of the networking unit. Therefore, the problems that broadband oscillation is easy to occur in a weak power grid with a grid-connected unit in the related technology, the power coupling effect of the grid-connected unit exists, and the new energy grid-connected system cannot be guaranteed to have good strong and weak power grid stability and the like at all feasible working points are solved.

Description

Network organization unit access capacity optimization method meeting broadband oscillation stability constraint
Technical Field
The application relates to the technical field of power systems, in particular to a networking unit access capacity optimization method meeting broadband oscillation stability constraint.
Background
In recent years, a plurality of large-scale new energy power generation bases are built in China, new energy becomes a dominant power source in China, and a high-proportion new energy grid-connected pattern is formed in part of areas.
In the related art, the following methods are generally applied to a new energy station: firstly, a new energy unit can be connected with a grid through a converter, and most of the converter adopts a grid-following (GFL) control architecture; secondly, the voltage and the frequency are built by a grid-forming (GFM) control strategy, so that the dependence on the power grid is small, and the grid-forming unit can still keep stable operation even in an extremely weak power grid with a short circuit ratio (short circuit ratio, SCR) close to 1.
However, in the related art, the broadband oscillation problem is very easy to be caused in the weak power grid by the grid-connected unit, the power coupling effect exists in the grid-connected unit, the stability margin is reduced along with the increase of the power grid strength, the stability of the strong power grid is deteriorated, the good strong and weak power grid stability of the new energy grid-connected system can not be ensured at all feasible working points, and the problem needs to be solved.
Disclosure of Invention
The utility model provides a network construction unit access capacity optimization method meeting broadband oscillation stability constraint, which aims to solve the problem that broadband oscillation is easy to be caused in a weak power grid with a network construction unit in the related technology, the network construction unit has a power coupling effect, the stability margin of the network construction unit is reduced along with the increase of the power grid strength, the stability of a strong power grid is deteriorated, and the problems that a new energy grid-connected system can not be guaranteed to have good strong and weak power grid stability at the same time under all feasible working points and the like are solved.
An embodiment of a first aspect of the present application provides a method for optimizing access capacity of a networking unit that satisfies broadband oscillation stability constraint, including the following steps: determining a unit feasible region of a networking unit; analyzing broadband oscillation stability of the network formation unit at all feasible working points, and optimizing based on the broadband oscillation stability to obtain the minimum network formation unit access capacity meeting the broadband oscillation stability constraint of a preset weak current network; and optimizing according to broadband oscillation stability constraint of a preset strong power grid to obtain the maximum access capacity of the networking unit, and obtaining the optimal access capacity range of the networking unit based on the minimum access capacity of the networking unit and the maximum access capacity of the networking unit.
Optionally, in an embodiment of the present application, the determining a unit feasible region of the networking unit includes: detecting whether each working point of the current transformer meets preset normal operation conditions according to capacity constraint and voltage constraint; and obtaining the unit feasible region from the set of all the working points meeting the capacity constraint and the voltage constraint.
Optionally, in an embodiment of the present application, after determining a unit feasible region of the networking unit, the method further includes: discretizing the unit feasible region to obtain the discretized unit feasible region for analyzing the broadband oscillation stability.
Optionally, in an embodiment of the present application, the optimizing, based on the broadband oscillation stability, the minimum access capacity of the network forming unit that meets a preset broadband oscillation stability constraint of the weak current network includes: setting a first access capacity, a first system short-circuit ratio and a first unit working point number of the networking unit; acquiring a follow-up network unit, the network building unit, a transformer, an alternating current power grid impedance model and a system aggregation impedance model; and solving a zero point of the system aggregate impedance model to obtain a zero point position, and analyzing the broadband oscillation stability of the system according to the zero point position so as to obtain the minimum access capacity by utilizing the first access capacity, the first system short-circuit ratio and the first unit working point number of the networking unit and the optimized capacity of the network following unit, the networking unit, the transformer and the alternating current power grid impedance model.
Optionally, in an embodiment of the present application, the optimizing according to a preset strong power grid broadband oscillation stability constraint to obtain the maximum access capacity of the network forming unit includes: setting a second access capacity, a second system short-circuit ratio and a second unit working point number of the networking unit; acquiring the grid following unit, the grid structuring unit, the transformer, the alternating current power grid impedance model and the system aggregate impedance model; and solving a zero point of the system aggregate impedance model to obtain a zero point position, and analyzing the broadband oscillation stability of the system according to the zero point position so as to obtain the maximum access capacity by utilizing the second access capacity of the network building unit, the second system short circuit ratio, the second unit working point number, the network following unit, the network building unit, the transformer and the alternating current power grid impedance model optimization capacity.
An embodiment of a second aspect of the present application provides a network formation unit access capacity optimization device satisfying broadband oscillation stability constraint, including: the determining module is used for determining a unit feasible region of the networking unit; the analysis module is used for analyzing the broadband oscillation stability of the network formation unit at all feasible working points and optimizing based on the broadband oscillation stability to obtain the minimum network formation unit access capacity meeting the broadband oscillation stability constraint of a preset weak current network; and the optimization module is used for optimizing and obtaining the maximum access capacity of the networking unit according to broadband oscillation stability constraint of a preset strong power grid, and obtaining the optimal access capacity range of the networking unit based on the minimum access capacity of the networking unit and the maximum access capacity of the networking unit.
Optionally, in one embodiment of the present application, the determining module includes: the detection unit is used for detecting whether each working point of the current transformer meets the preset normal operation condition according to the capacity constraint and the voltage constraint; and the acquisition unit is used for acquiring the unit feasible region from the set of all the working points meeting the capacity constraint and the voltage constraint.
Optionally, in one embodiment of the present application, further includes: and the acquisition module is used for discretizing the unit feasible region after determining the unit feasible region of the networking unit to obtain the discretized unit feasible region for analyzing the broadband oscillation stability.
Optionally, in one embodiment of the present application, the analysis module includes: the first setting unit is used for setting a first access capacity, a first system short-circuit ratio and a first unit working point number of the networking unit; the first acquisition unit is used for acquiring a follow-up network unit, the network building unit, a transformer, an alternating current power grid impedance model and a system aggregation impedance model; the first solving unit is used for solving the zero point of the system aggregate impedance model to obtain a zero point position, analyzing the broadband oscillation stability of the system according to the zero point position, and obtaining the minimum access capacity by utilizing the first access capacity of the network formation unit, the first system short circuit ratio, the first unit working point number, the network following unit, the network formation unit, the transformer and the alternating current power grid impedance model optimization capacity.
Optionally, in one embodiment of the present application, the optimizing module includes: the second setting unit is used for setting a second access capacity, a second system short-circuit ratio and a second unit working point number of the networking unit; the second acquisition unit is used for acquiring the grid following unit, the grid structuring unit, the transformer, the alternating current power grid impedance model and the system aggregate impedance model; and the second solving unit is used for solving the zero point of the system aggregate impedance model to obtain a zero point position, analyzing the broadband oscillation stability of the system according to the zero point position, and obtaining the maximum access capacity by utilizing the second access capacity of the network formation unit, the second system short circuit ratio, the second unit working point number, the network following unit, the network formation unit, the transformer and the alternating current power grid impedance model optimization capacity.
An embodiment of a third aspect of the present application provides an electronic device, including: the system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the network organization unit access capacity optimization method meeting the broadband oscillation stability constraint as described in the embodiment.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program, which when executed by a processor, implements a network formation set access capacity optimization method satisfying broadband oscillation stability constraints as above.
The embodiment of the application can meet the minimum access capacity of the network forming unit of the broadband oscillation stability constraint of the weak power grid, and obtain the maximum access capacity of the network forming unit according to the broadband oscillation stability constraint optimization of the strong power grid, so that the optimal access capacity range of the network forming unit is obtained, and the new energy grid-connected system is ensured to have good broadband oscillation stability in the strong power grid and the weak power grid. Therefore, the problem that broadband oscillation is easy to occur in a weak power grid with a grid-connected unit in the related technology is solved, the power coupling effect exists in the grid-connected unit, the stability margin of the grid-connected unit is reduced along with the increase of the strength of the power grid, the stability of a strong power grid is deteriorated, and the problems that a new energy grid-connected system has good strong and weak power grid stability at the same time under all feasible working points cannot be guaranteed.
Additional aspects and advantages of the application 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 application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart of a method for optimizing access capacity of a networking unit, which satisfies broadband oscillation stability constraint, according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a networking unit access capacity optimization method meeting broadband oscillation stability constraints according to one embodiment of the present application;
FIG. 3 is a flow chart of a method for optimizing access capacity of a networking unit meeting broadband oscillation stability constraints according to one embodiment of the present application;
fig. 4 is a schematic structural diagram of a network formation unit access capacity optimization device satisfying broadband oscillation stability constraint according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
The following describes a network organization unit access capacity optimization method meeting broadband oscillation stability constraint according to an embodiment of the present application with reference to the accompanying drawings. Aiming at the problem that broadband oscillation is easy to occur in a weak power grid with a grid-connected unit in the related technology in the background technology, the grid-connected unit has a power coupling effect, the stability margin of the power coupling effect is reduced along with the increase of the power grid strength, the stability of a strong power grid is deteriorated, and the problem that a new energy grid-connected system cannot be guaranteed to have good strong and weak power grid stability at all feasible working points is solved. Therefore, the problem that broadband oscillation is easy to occur in a weak power grid with a grid-connected unit in the related technology is solved, the power coupling effect exists in the grid-connected unit, the stability margin of the grid-connected unit is reduced along with the increase of the strength of the power grid, the stability of a strong power grid is deteriorated, and the problems that a new energy grid-connected system has good strong and weak power grid stability at the same time under all feasible working points cannot be guaranteed.
Specifically, fig. 1 is a schematic flow chart of a method for optimizing access capacity of a networking unit, which satisfies broadband oscillation stability constraint, provided in an embodiment of the present application.
As shown in fig. 1, the network organization unit access capacity optimization method meeting broadband oscillation stability constraint comprises the following steps:
in step S101, a unit feasible region of the networking unit is determined.
In the actual execution process, the embodiment of the application can determine the unit feasible region of the networking unit, thereby providing basis for the follow-up analysis of the broadband oscillation stability of the networking unit at all feasible working points, and further ensuring that the new energy grid-connected system has good broadband oscillation stability at all feasible working points and in all strong and weak electric network grid scenes.
Optionally, in one embodiment of the present application, determining a unit feasible region of a networking unit includes: detecting whether each working point of the current transformer meets preset normal operation conditions according to capacity constraint and voltage constraint; and obtaining a unit feasible region from the set of all the working points meeting the capacity constraint and the voltage constraint.
It can be appreciated that the embodiments of the present application may determine the normal operating range to be analyzed before performing the oscillation stability analysis. Generally, two constraint conditions, namely 'capacity constraint' and 'voltage constraint', are required to be considered for normal operation of the new energy unit, wherein the capacity constraint can avoid the problem that an overload of a converter leads to damage of a device; the voltage constraint can avoid the problems of damage to devices and reduction of steady-state performance caused by overhigh and overlow voltage of the converter.
In the actual implementation process, the embodiment of the application may assume that the rated capacity of the converter is S, and the capacity constraint may be expressed as follows:
P 2 +Q 2 ≤(mS) 2 ,1.0≤m≤1.15
where m represents the current transformer overload factor.
It should be noted that the new energy unit may allow overload within 1.15 times.
In addition, the voltage of the grid-connected point of the converter can be changed along with the change of the output power. In view of the normal operation of the device, the grid-connected point voltage U should generally be controlled within a certain range, i.e. the voltage constraint can be expressed as:
0.9pu<U<1.1pu
in the case of unchanged grid parameters, the magnitude of the grid-tie voltage is a function of the output power of the unit and can therefore be denoted as U (P, Q).
According to the embodiment of the application, whether each working point (P, Q) of the current transformer meets certain normal operation conditions can be detected according to capacity constraint and voltage constraint, and a set of all working points meeting the capacity constraint and the voltage constraint is defined as a unit feasible domain D, namely:
D＝{(P,Q)|P 2 +Q 2 ≤(mS) 2 and U (P, Q) ∈ (0.9,1.1) }
The embodiment of the application can further ensure that the new energy grid-connected system has good broadband oscillation stability in all strong and weak power grid scenes under all feasible working points.
Optionally, in one embodiment of the present application, after determining the unit feasible region of the networking unit, the method further includes: discretizing the unit feasible region to obtain the discretized unit feasible region for analyzing the broadband oscillation stability.
It will be appreciated that from a geometric perspective, the crew feasibility field D is a plane containing an infinite number of operating points, and that the effort is relatively great if an infinite number of operating points are analyzed for oscillation stability.
As a possible implementation manner, in the embodiment of the present application, the unit feasible region D may be uniformly divided to obtain a limited number of working points, and then oscillation stability analysis is performed for each working point, where a set formed by the limited number of working points is defined as a discretized unit feasible region D ', D' may be expressed as:
Figure BDA0004178390240000051
where k is the number of working points and n is the total number of working points.
According to the embodiment of the application, the unit feasible region can be discretized to obtain the discretized unit feasible region for analyzing the broadband oscillation stability, so that the new energy grid-connected system is further ensured to have good broadband oscillation stability in strong and weak power grids.
In step S102, the broadband oscillation stability of the network formation unit at all possible working points is analyzed, and the minimum network formation unit access capacity meeting the broadband oscillation stability constraint of the preset weak current network is obtained based on the broadband oscillation stability optimization.
It can be understood that as the access capacity of the grid-connected unit is increased, the weak grid stability of the new energy grid-connected system is gradually improved, but the strong grid stability is gradually deteriorated. Therefore, the minimum network organization access capacity can be determined according to the broadband oscillation stability constraint of the weak current network.
In some embodiments, broadband oscillation stability of the network forming unit under all feasible working points can be analyzed, for example, broadband oscillation stability of the network forming unit under all feasible working points in a feasible domain D' is analyzed, and the minimum network forming unit access capacity meeting the broadband oscillation stability constraint of a certain weak power grid is obtained according to the broadband oscillation stability optimization, so that basis is provided for obtaining the optimal access capacity range of the network forming unit subsequently, and the good broadband oscillation stability of the new energy grid-connected system under all feasible working points in the weak power grid is ensured.
Optionally, in one embodiment of the present application, optimizing based on broadband oscillation stability to obtain a minimum access capacity of a network group that meets a preset weak current network broadband oscillation stability constraint includes: setting a first access capacity, a first system short-circuit ratio and a first unit working point number of a networking unit; acquiring a follow-up network unit, a networking unit, a transformer, an alternating current power grid impedance model and a system aggregation impedance model; and solving the zero point of the system aggregate impedance model to obtain a zero point position, and analyzing the broadband oscillation stability of the system according to the zero point position so as to obtain the minimum access capacity by utilizing the first access capacity of the network building unit, the first system short circuit ratio, the first unit working point number and the optimized capacity of the network following unit, the network building unit, the transformer and the alternating current power grid impedance model.
In some embodiments, the first access capacity of the networking unit may be set to be, but is not limited to, N GFM The first system short ratio may be, but is not limited to, SCR min The number k of the working point of the first unit is 1; the embodiment of the application can acquire the following network unit, the networking unit, the transformer, the alternating current power grid impedance model and the system aggregate impedance model Z Σ Wherein, follow net unit impedance model Z GFL Impedance model Z of networking unit GFM Closely related to the working point, namely:
Z GFL ＝F GFL (P k ,Q k ),Z GFM ＝F GFM (P k ,Q k )
wherein F is GFL 、F GFM The analysis expressions of the impedance models of the follow-up network unit and the networking unit are respectively shown.
The transformer impedance model is:
Z T ＝diag{[sL T ,(s-2jω 1 )L T ]}
where s is Laplacian, L T Is the inductance of the current transformer, w 1 For the frequency angular frequency, diag { } represents the diagonal elements of the matrix.
The impedance model of the alternating current power grid is as follows:
Z g ＝diag{[R g +sL g ,R g +(s-2jω 1 )L g ]}
wherein R is g 、L g The value of the equivalent resistance and the inductance of the alternating current power grid can be calculated according to the short circuit ratio SCR of the first system min And (5) solving.
Next, the embodiment of the present application may acquire a system aggregate impedance model, where the current number of access stations of the networking unit is assumed to be N GFM A table. As can be seen from FIG. 2, the new energy station is composed of N GFL Station 'following net set + transformer', N GFM The 'networking unit+transformer' is formed by parallel connection, the whole new energy grid-connected system can be regarded as the series connection of the equivalent impedance of the new energy field station and the alternating current power grid, and then the system aggregate impedance model Z Σ Can be expressed as:
Figure BDA0004178390240000071
where// represents the parallel relationship in the circuit.
Further, the broadband oscillation stability of the system depends on the polymerization impedance Z Σ And Z is zero point of Σ Zero point of (2) and its determinant |Z Σ The zero points of the I are equivalent, so embodiments of the present application can solve for the zero points of the system aggregate impedance model, i.e., by solving for the Z Σ And calculating the system zero point according to the I=0, analyzing the broadband oscillation stability of the system according to the zero point position, if the zero points are all positioned on the left half plane, indicating that the system does not have broadband oscillation risk, indicating that the access capacity of the network building unit is proper when the system does not have oscillation risk at all feasible working points, indicating that the access capacity of the network building unit is improper when the system has oscillation risk at all feasible working points, and increasing the access capacity of the network building unit. The embodiment of the application can utilize the net structuring machineThe first access capacity, the first system short-circuit ratio, the first unit working point number, the network following unit, the network constructing unit, the transformer and the alternating current power grid impedance model optimizing capacity of the group, and the minimum access capacity is N GFM min ＝N GFM Output N GFM min The minimum access capacity is obtained, and further, the good broadband oscillation stability of the new energy grid-connected system in a weak current network is ensured.
In step S103, the maximum access capacity of the networking unit is obtained according to the broadband oscillation stability constraint optimization of the preset strong power grid, and the optimal access capacity range of the networking unit is obtained based on the minimum access capacity and the maximum access capacity of the networking unit.
It can be understood that as the access capacity of the grid-connected unit is increased, the weak grid stability of the new energy grid-connected system is gradually improved, but the strong grid stability is gradually deteriorated. Therefore, the maximum access capacity can be determined according to the broadband oscillation stability constraint of the strong power grid.
As a possible implementation manner, the embodiment of the application can obtain the maximum access capacity of the networking unit according to the broadband oscillation stability constraint optimization of a certain strong power grid, and obtain the optimal access capacity range of the networking unit according to the minimum access capacity and the maximum access capacity of the networking unit, so that the new energy grid-connected system is ensured to have good broadband oscillation stability in the strong power grid and the weak power grid.
Optionally, in an embodiment of the present application, optimizing according to a preset strong power grid broadband oscillation stability constraint to obtain a maximum access capacity of a grid-forming unit includes: setting a second access capacity, a second system short-circuit ratio and a second unit working point number of the networking unit; acquiring a follow-up network unit, a networking unit, a transformer, an alternating current power grid impedance model and a system aggregation impedance model; and solving the zero point of the system aggregate impedance model to obtain a zero point position, and analyzing the broadband oscillation stability of the system according to the zero point position to obtain the maximum access capacity by utilizing the second access capacity of the network building unit, the short circuit ratio of the second system, the working point number of the second unit, and the optimized capacity of the network following unit, the network building unit, the transformer and the alternating current power grid impedance model.
In other embodiments, the second access capacity of the networking unit may be set to be, but is not limited to, N GFM The second system short ratio may be, but is not limited to, SCR max The number k of the working point of the second unit is 1; the embodiment of the application can acquire the following network unit, the networking unit, the transformer, the alternating current power grid impedance model and the system aggregate impedance model Z Σ Wherein, follow net unit impedance model Z GFL Impedance model Z of networking unit GFM Closely related to the working point, namely:
Z GFL ＝F GFL (P k ,Q k ),Z GFM ＝F GFM (P k ,Q k )
wherein F is GFL 、F GFM The analysis expressions of the impedance models of the follow-up network unit and the networking unit are respectively shown.
The transformer impedance model is:
Z T ＝diag{[sL T ,(s-2jω 1 )L T ]}
where s is Laplacian, L T Is the inductance of the current transformer, w 1 For the frequency angular frequency, diag { } represents the diagonal elements of the matrix.
The impedance model of the alternating current power grid is as follows:
Z g ＝diag{[R g +sL g ,R g +(s-2jω 1 )L g ]}
wherein R is g 、L g The value of the equivalent resistance and the inductance of the alternating current power grid can be calculated according to the short circuit ratio SCR of the second system max And (5) solving.
Next, the embodiment of the present application may acquire a system aggregate impedance model, where the current number of access stations of the networking unit is assumed to be N GFM A table. As can be seen from FIG. 2, the new energy station is composed of N GFL Station 'following net set + transformer', N GFM The ' network building unit and the ' transformer ' are connected in parallel. The whole new energy grid-connected system can be regarded as the series connection of the equivalent impedance of the new energy station and the alternating current power grid, and then the system aggregate impedance model Z Σ Can be expressed as:
Figure BDA0004178390240000081
where// represents the parallel relationship in the circuit.
Further, the broadband oscillation stability of the system depends on the polymerization impedance Z Σ And Z is zero point of Σ Zero point of (2) and its determinant |Z Σ The zero points of the I are equivalent, so embodiments of the present application can solve for the zero points of the system aggregate impedance model, i.e., by solving for the Z Σ And the system zero point is calculated by the I=0, the broadband oscillation stability of the system is analyzed according to the zero point position, if the zero points are all positioned on the left half plane, the system does not have broadband oscillation risk, when the system does not have oscillation risk under all feasible working points, the access capacity of the network building unit is proper, and when the system has oscillation risk under all feasible working points, the access capacity of the network building unit is improper, and the access capacity of the network building unit can be increased. The embodiment of the application can optimize the capacity by using the second access capacity of the networking unit, the second system short-circuit ratio, the number of the working points of the second unit, the follow-up unit, the networking unit, the transformer and the impedance model of the alternating current power grid, so that the maximum access capacity is N GFM max ＝N GFM Output N GFM max The maximum access capacity is obtained, and further, the good broadband oscillation stability of the new energy grid-connected system in strong and weak electric networks is ensured.
Specifically, with reference to fig. 2 and fig. 3, a working principle of the network unit access capacity optimization method meeting broadband oscillation stability constraint according to the embodiment of the present application is described in detail in a specific embodiment.
The dynamic characteristics of wind/light new energy units and the like are generally mainly influenced by the grid-side converter, so that the new energy grid-connected system can be simplified into a multi-converter grid-connected system shown in fig. 2, the original machine types in the system are all grid-following units, and the grid-connected units are gradually installed to improve the broadband oscillation stability of the system. P, Q is respectively the active power and reactive power of the unit output, R, L is respectively the internal resistance and inductance of the converter, L T For transformer electricityFeel, R g 、L g The equivalent resistance and the inductance of the alternating current power grid are respectively. The ac grid equivalent impedance depends on the grid SCR, where L g The per unit value is 1/SCR, R g The per unit value is far smaller than L g 。
As shown in fig. 3, an embodiment of the present application may include the following steps:
step S301: and determining a unit feasible region D and discretizing the unit feasible region D to obtain D'.
According to the embodiment of the application, the circuit parameters of the new energy grid-connected system can be obtained, the feasible region D of the new energy unit is solved, and the D' is obtained through discretization.
Step S302: let k=1, n GFM ＝ΔN GFM ，SCR＝SCR min 。
The embodiment of the application can set the access capacity of the networking unit as N GFM Bench with system short-circuit ratio of SCR min The unit operating point number k is 1.
Step S303: an equipment impedance model is obtained.
According to the embodiment of the application, the impedance model of the follow-up network unit, the networking unit, the transformer and the alternating-current power grid can be obtained.
Step S304: acquiring a system aggregate impedance model Z Σ 。
Step S305: analyzing system oscillation stability, i.e. solving for |Z Σ Zero point of(s) |=0.
Embodiments of the present application can solve for |Z Σ And (3) obtaining a system zero point by the I=0, and analyzing the broadband oscillation stability of the system according to the zero point position.
Step S306: judging whether the zero points are all located on the left half plane? If yes, step S307 is executed, and if no, step S308 is executed.
According to the embodiment of the application, whether the zero points are all located on the left half plane can be judged, when all the zero points are located on the left half plane, the step S307 can be executed, whether the number k of the working points is larger than or equal to the total number N of the working points is judged, when all the zero points are not located on the left half plane, the step S308 can be executed, and the access capacity N of the networking unit is enabled GFM ＝N GFM +DN GFM A table.
Step S307: judging whether k is greater than or equal to n? If yes, step S309 is executed, and if no, step S310 is executed.
The embodiment of the present application may determine whether the working point number k is greater than or equal to the total number N of working points, and when the working point number k is greater than or equal to the total number N of working points, step S309 may be executed to make the minimum access capacity be N GFM min ＝N GFM And output N GFM min When the operating point number k is not satisfied to be equal to or greater than the operating point total number n, step S310, k=k+1 may be performed.
Step S308: n (N) GFM ＝N GFM +DN GFM 。
The embodiment of the application can enable the network organization unit to access the capacity N GFM ＝N GFM +DN GFM A table.
Step S309: n (N) GFM min ＝N GFM 。
The embodiment of the application can make the minimum access capacity be N GFM min ＝N GFM 。
Step S310: k=k+1.
Step S311: output minimum access capacity N GFM min 。
Step S312: let k=1, n GFM ＝N GFM min ，SCR＝SCR max 。
The embodiment of the application can set the access capacity N of the networking unit GFM ＝N GFM min The system short-circuit ratio is SCR max The unit operating point number k is 1.
Step S313: an equipment impedance model is obtained.
According to the embodiment of the application, the impedance model of the follow-up network unit, the networking unit, the transformer and the alternating-current power grid can be obtained.
Step S314: acquiring a system aggregate impedance model Z Σ 。
Step S315: analyzing system oscillation stability, i.e. solving for |Z Σ Zero point of(s) |=0.
Embodiments of the present application can solve for |Z Σ |=0 to obtainAnd analyzing the broadband oscillation stability of the system according to the zero point position.
Step S316: judging whether the zero points are all located on the left half plane? If yes, step S317 is executed, and if no, step S318 is executed.
According to the embodiment of the application, whether the zero points are all located on the left half plane can be judged, when all the zero points are located on the left half plane, the step S317 can be executed, whether the number k of the working points is larger than or equal to the total number N of the working points is judged, when all the zero points are not satisfied, the step S318 can be executed, and the access capacity N of the networking unit is enabled GFM ＝N GFM +DN GFM A table.
Step S317: judging whether k is greater than or equal to n? If yes, step S319 is executed, and if no, step S320 is executed.
The embodiment of the application can judge whether the working point number k is greater than or equal to the total number N of the working points, and when the working point number k is greater than or equal to the total number N of the working points, step S319 can be executed to make the minimum access capacity be N GFM min ＝N GFM And output N GFM min When the operating point number k is not satisfied to be equal to or greater than the operating point total number n, step S320, k=k+1 may be performed.
Step S318: n (N) GFM ＝N GFM +ΔN GFM 。
The embodiment of the application can enable the network organization unit to access the capacity N GFM ＝N GFM +DN GFM A table.
Step S319: n (N) GFM max ＝N GFM 。
The embodiment of the application can make the maximum access capacity be N GFM max ＝N GFM 。
Step S320: k=k+1.
Step S321: output maximum access capacity N GFM max 。
According to the network organization unit access capacity optimization method meeting broadband oscillation stability constraint, which is provided by the embodiment of the application, the minimum network organization unit access capacity meeting weak power grid broadband oscillation stability constraint can be met, and the maximum network organization unit access capacity is obtained according to strong power grid broadband oscillation stability constraint optimization, so that the optimal access capacity range of the network organization unit is obtained, and the new energy grid-connected system is guaranteed to have good broadband oscillation stability in both strong and weak power grids. Therefore, the problem that broadband oscillation is easy to occur in a weak power grid with a grid-connected unit in the related technology is solved, the power coupling effect exists in the grid-connected unit, the stability margin of the grid-connected unit is reduced along with the increase of the strength of the power grid, the stability of the strong power grid is deteriorated, and the problem that a new energy grid-connected system cannot be guaranteed to have good strong and weak power grid stability at the same time under all feasible working points is solved.
Next, a network organization unit access capacity optimization device meeting broadband oscillation stability constraint according to an embodiment of the application is described with reference to the accompanying drawings.
Fig. 4 is a schematic structural diagram of a network unit access capacity optimization device meeting broadband oscillation stability constraint according to an embodiment of the present application.
As shown in fig. 4, the network forming unit access capacity optimizing device 10 satisfying the broadband oscillation stability constraint includes: a determination module 100, an analysis module 200, and an optimization module 300.
Specifically, the determining module 100 is configured to determine a unit feasible region of the networking unit.
The analysis module 200 is used for analyzing broadband oscillation stability of the network formation unit at all feasible working points and optimizing based on the broadband oscillation stability to obtain the minimum network formation unit access capacity meeting the broadband oscillation stability constraint of the preset weak current network.
The optimization module 300 is configured to optimize and obtain a maximum access capacity of the networking unit according to a preset strong power grid broadband oscillation stability constraint, and obtain an optimal access capacity range of the networking unit based on the minimum access capacity and the maximum access capacity of the networking unit.
Optionally, in one embodiment of the present application, the determining module 100 includes: a detection unit and an acquisition unit.
The detection unit is used for detecting whether each working point of the current transformer meets preset normal operation conditions according to capacity constraint and voltage constraint.
And the acquisition unit is used for obtaining the unit feasible region from the set of all the working points meeting the capacity constraint and the voltage constraint.
Optionally, in one embodiment of the present application, the network forming unit access capacity optimization device 10 that satisfies the broadband oscillation stability constraint further includes: and an acquisition module.
The acquisition module is used for discretizing the unit feasible region after determining the unit feasible region of the networking unit to obtain the discretized unit feasible region for analyzing the broadband oscillation stability.
Optionally, in one embodiment of the present application, the analysis module 200 includes: the device comprises a first setting unit, a first acquisition unit and a first solving unit.
The first setting unit is used for setting a first access capacity, a first system short-circuit ratio and a first unit working point number of the networking unit.
The first acquisition unit is used for acquiring a follow-grid unit, a grid-building unit, a transformer, an alternating current power grid impedance model and a system aggregation impedance model.
The first solving unit is used for solving the zero point of the system aggregate impedance model to obtain a zero point position, analyzing the broadband oscillation stability of the system according to the zero point position, and obtaining the minimum access capacity by utilizing the first access capacity of the networking unit, the first system short circuit ratio, the first unit working point number, the optimization capacity of the networking unit, the transformer and the alternating current power grid impedance model.
Optionally, in one embodiment of the present application, the optimization module 300 includes: the device comprises a second setting unit, a second acquisition unit and a second solving unit.
The second setting unit is used for setting a second access capacity, a second system short-circuit ratio and a second unit working point number of the networking unit.
The second acquisition unit is used for acquiring a follow-grid unit, a grid-building unit, a transformer, an alternating current power grid impedance model and a system aggregation impedance model.
The second solving unit is used for solving the zero point of the system aggregate impedance model to obtain a zero point position, analyzing the broadband oscillation stability of the system according to the zero point position, and obtaining the maximum access capacity by utilizing the second access capacity of the network building unit, the short circuit ratio of the second system, the number of the working point of the second unit, the capacity optimization of the network following unit, the network building unit, the transformer and the alternating current power grid impedance model.
It should be noted that, the foregoing explanation of the embodiment of the network building unit access capacity optimization method meeting the broadband oscillation stability constraint is also applicable to the network building unit access capacity optimization device meeting the broadband oscillation stability constraint of this embodiment, and will not be repeated here.
According to the network constructing unit access capacity optimizing device meeting broadband oscillation stability constraint, which is provided by the embodiment of the application, the minimum network constructing unit access capacity meeting weak electric network broadband oscillation stability constraint can be met, and the maximum network constructing unit access capacity is obtained according to strong electric network broadband oscillation stability constraint optimization, so that the optimal access capacity range of the network constructing unit is obtained, and the new energy grid-connected system is guaranteed to have good broadband oscillation stability in strong electric network and weak electric network. Therefore, the problem that broadband oscillation is easy to occur in a weak power grid with a grid-connected unit in the related technology is solved, the power coupling effect exists in the grid-connected unit, the stability margin of the grid-connected unit is reduced along with the increase of the strength of the power grid, the stability of the strong power grid is deteriorated, and the problem that a new energy grid-connected system cannot be guaranteed to have good strong and weak power grid stability at the same time under all feasible working points is solved.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device may include:
memory 501, processor 502, and a computer program stored on memory 501 and executable on processor 502.
The processor 502 implements the network organization unit access capacity optimization method satisfying the broadband oscillation stability constraint provided in the above embodiment when executing the program.
Further, the electronic device further includes:
a communication interface 503 for communication between the memory 501 and the processor 502.
Memory 501 for storing a computer program executable on processor 502.
The memory 501 may include high-speed RAM memory and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
If the memory 501, the processor 502, and the communication interface 503 are implemented independently, the communication interface 503, the memory 501, and the processor 502 may be connected to each other via a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 501, the processor 502, and the communication interface 503 are integrated on a chip, the memory 501, the processor 502, and the communication interface 503 may perform communication with each other through internal interfaces.
The processor 502 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
The present embodiment also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a network formation set access capacity optimization method satisfying broadband oscillation stability constraints as described above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "N" is at least two, such as two, three, etc., unless explicitly defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer cartridge (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.

Claims (12)

1. The networking unit access capacity optimization method meeting broadband oscillation stability constraint is characterized by comprising the following steps of:
determining a unit feasible region of a networking unit;
analyzing broadband oscillation stability of the network formation unit at all feasible working points, and optimizing based on the broadband oscillation stability to obtain the minimum network formation unit access capacity meeting the broadband oscillation stability constraint of a preset weak current network; and
and optimizing according to broadband oscillation stability constraint of a preset strong power grid to obtain the maximum access capacity of the networking unit, and obtaining the optimal access capacity range of the networking unit based on the minimum access capacity and the maximum access capacity of the networking unit.
2. The method of claim 1, wherein the determining the crew feasibility domain of the networking crew comprises:
Detecting whether each working point of the current transformer meets preset normal operation conditions according to capacity constraint and voltage constraint;
and obtaining the unit feasible region from the set of all the working points meeting the capacity constraint and the voltage constraint.
3. The method according to claim 1 or 2, further comprising, after determining the crew feasible region of the networking crew:
discretizing the unit feasible region to obtain the discretized unit feasible region for analyzing the broadband oscillation stability.
4. The method of claim 1, wherein optimizing the access capacity of the minimum network formation unit based on the broadband oscillation stability optimization to satisfy a preset weak current network broadband oscillation stability constraint, comprises:
setting a first access capacity, a first system short-circuit ratio and a first unit working point number of the networking unit;
acquiring a follow-up network unit, the network building unit, a transformer, an alternating current power grid impedance model and a system aggregation impedance model;
and solving a zero point of the system aggregate impedance model to obtain a zero point position, and analyzing the broadband oscillation stability of the system according to the zero point position so as to obtain the minimum access capacity by utilizing the first access capacity, the first system short-circuit ratio and the first unit working point number of the networking unit and the optimized capacity of the network following unit, the networking unit, the transformer and the alternating current power grid impedance model.
5. The method of claim 4, wherein optimizing the maximum access capacity of the grid-tied unit according to the broadband oscillation stability constraint of the preset strong grid comprises:
setting a second access capacity, a second system short-circuit ratio and a second unit working point number of the networking unit;
acquiring the grid following unit, the grid structuring unit, the transformer, the alternating current power grid impedance model and the system aggregate impedance model;
and solving a zero point of the system aggregate impedance model to obtain a zero point position, and analyzing the broadband oscillation stability of the system according to the zero point position so as to obtain the maximum access capacity by utilizing the second access capacity of the network building unit, the second system short circuit ratio, the second unit working point number, the network following unit, the network building unit, the transformer and the alternating current power grid impedance model optimization capacity.
6. The utility model provides a meet network building unit access capacity optimizing apparatus of broadband oscillation stability constraint which characterized in that includes:
the determining module is used for determining a unit feasible region of the networking unit;
the analysis module is used for analyzing the broadband oscillation stability of the network formation unit at all feasible working points and optimizing based on the broadband oscillation stability to obtain the minimum network formation unit access capacity meeting the broadband oscillation stability constraint of a preset weak current network; and
And the optimization module is used for optimizing and obtaining the maximum access capacity of the networking unit according to the broadband oscillation stability constraint of the preset strong power grid, and obtaining the optimal access capacity range of the networking unit based on the minimum access capacity of the networking unit and the maximum access capacity of the networking unit.
7. The apparatus of claim 6, wherein the means for determining comprises:
the detection unit is used for detecting whether each working point of the current transformer meets the preset normal operation condition according to the capacity constraint and the voltage constraint;
and the acquisition unit is used for acquiring the unit feasible region from the set of all the working points meeting the capacity constraint and the voltage constraint.
8. The apparatus according to claim 6 or 7, further comprising:
and the acquisition module is used for discretizing the unit feasible region after determining the unit feasible region of the networking unit to obtain the discretized unit feasible region for analyzing the broadband oscillation stability.
9. The apparatus of claim 6, wherein the analysis module comprises:
the first setting unit is used for setting a first access capacity, a first system short-circuit ratio and a first unit working point number of the networking unit;
The first acquisition unit is used for acquiring a follow-up network unit, the network building unit, a transformer, an alternating current power grid impedance model and a system aggregation impedance model;
the first solving unit is used for solving the zero point of the system aggregate impedance model to obtain a zero point position, analyzing the broadband oscillation stability of the system according to the zero point position, and obtaining the minimum access capacity by utilizing the first access capacity of the network formation unit, the first system short circuit ratio, the first unit working point number, the network following unit, the network formation unit, the transformer and the alternating current power grid impedance model optimization capacity.
10. The apparatus of claim 9, wherein the optimization module comprises:
the second setting unit is used for setting a second access capacity, a second system short-circuit ratio and a second unit working point number of the networking unit;
the second acquisition unit is used for acquiring the grid following unit, the grid structuring unit, the transformer, the alternating current power grid impedance model and the system aggregate impedance model;
and the second solving unit is used for solving the zero point of the system aggregate impedance model to obtain a zero point position, analyzing the broadband oscillation stability of the system according to the zero point position, and obtaining the maximum access capacity by utilizing the second access capacity of the network formation unit, the second system short circuit ratio, the second unit working point number, the network following unit, the network formation unit, the transformer and the alternating current power grid impedance model optimization capacity.
11. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the networking set access capacity optimization method satisfying broadband oscillation stability constraints of any one of claims 1-5.
12. A computer readable storage medium having stored thereon a computer program, the program being executable by a processor for implementing a network element access capacity optimization method satisfying broadband oscillation stability constraints according to any one of claims 1-5.
CN202310398082.9A 2023-04-13 2023-04-13 Network organization unit access capacity optimization method meeting broadband oscillation stability constraint Pending CN116436081A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117526319A (en) * 2024-01-08 2024-02-06 国网湖北省电力有限公司 Multi-converter cooperative control method for restraining broadband oscillation and related device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117526319A (en) * 2024-01-08 2024-02-06 国网湖北省电力有限公司 Multi-converter cooperative control method for restraining broadband oscillation and related device
CN117526319B (en) * 2024-01-08 2024-03-26 国网湖北省电力有限公司 Multi-converter cooperative control method for restraining broadband oscillation and related device

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