CN116090153A - Acceleration simulation method suitable for large-scale wind power plant - Google Patents
Acceleration simulation method suitable for large-scale wind power plant Download PDFInfo
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Abstract
The invention discloses an acceleration simulation method suitable for a large-scale wind power plant, which comprises the following steps: establishing a full-topology electromagnetic transient model of the wind power plant on the power simulation software according to actual parameters of the wind power plant; dividing the whole wind power plant by adopting a classical model segmentation method to obtain subsystems; and carrying out real-time simulation on each subsystem by adopting an autonomous-research and development real-time simulation platform UREP-300, and observing simulation results. The invention not only can ensure the simulation accuracy, flexibility and applicability of the large-scale wind power plant, but also can greatly improve the simulation efficiency of the large-scale wind power plant.
Description
Technical Field
The invention relates to the technical field of power generation grid connection of a large-scale wind power plant, in particular to an acceleration simulation method suitable for the large-scale wind power plant.
Background
The wind power generation system has the advantages that the wind power resources in China are rich, large-scale wind power bases such as inner Mongolia, shandong, xinjiang Hami, gansu Jiuquan and the like are built in China, the investment construction for wind power generation is further increased in the future, more tens of thousands of kilowatt-level wind power bases can emerge, and due to inherent randomness and fluctuation of wind power generation, the power generation of the large-scale wind power plant is connected in a grid mode, and unprecedented impact and challenges can be brought to an existing power system. In order to realize friendly grid connection of large-scale wind power, provide sufficient, safe and efficient clean energy for human society development, research on large-scale wind power generation and grid connection is urgent. For large-scale wind power generation systems, the possibility of directly conducting power tests is small from the technical and safety viewpoints, so that the application of power simulation means is urgently required to solve the problems. The power system simulation software is one of the most effective tools for analyzing the power system, and has wide application in aspects of system design, planning, operation, control, scheduling and the like. Electromagnetic transient simulation of tens of thousands of kilowatt wind farms is a strong real-world requirement in the face of increasingly large wind scales.
For the simulation of a large-scale wind power generation system, if a detailed model built by a power electronic device of an internal element library in an electromagnetic transient simulation environment is adopted, since the wind turbine generator contains a large number of switching devices, it becomes very difficult to quickly calculate a large number of high-order node admittance matrixes in one simulation step, and the simulation efficiency is extremely low. Therefore, for simulation of a large-scale wind power plant, the current processing method is to apply a corresponding equivalence method to perform equivalence processing on the large-scale wind power plant, such as single-machine equivalence or multi-machine equivalence, and replace the whole wind power plant with one or more wind power units to perform simulation, so that the equivalent wind power plant model is small, the state equation order is greatly reduced, the simulation of the wind power plant is easy to realize, but the simulation model has low accuracy, poor flexibility and weak applicability.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The invention is provided in view of the problems of low model accuracy, poor flexibility and weak applicability of the equivalent simulation model adopted by the existing wind power generation system.
Therefore, the invention aims to provide an acceleration simulation method suitable for a large-scale wind power plant.
In order to solve the technical problems, the invention provides the following technical scheme:
as the acceleration simulation method suitable for the large-scale wind power plant, the invention comprises the following steps: establishing a full-topology electromagnetic transient model of the wind power plant on the power simulation software according to actual parameters of the wind power plant;
dividing the whole wind power plant by adopting a classical model segmentation method to obtain subsystems;
and carrying out real-time simulation on each subsystem by adopting an autonomous-research and development real-time simulation platform UREP-300, and observing simulation results.
As the acceleration simulation method suitable for the large-scale wind power plant, the invention comprises the following steps: the wind power plant consists of a plurality of double-fed wind power units.
As the acceleration simulation method suitable for the large-scale wind power plant, the invention comprises the following steps: the method for establishing the full-topology electromagnetic transient model of the wind power plant comprises the steps that equivalent simplification processing is not carried out on the wind power plant when the actual wind power plant is modeled, and 1:1, modeling.
As the acceleration simulation method suitable for the large-scale wind power plant, the invention comprises the following steps: the classical model segmentation method comprises that,
the classical model segmentation method interface algorithm is as follows:
wherein E is 1 、E 2 Is equivalent power supply of two systems, Z 1 、Z 2 Is the equivalent impedance of two systems, I 1 For controlled current source current, I 2 For the current of system 2, V 1 To control the current source voltage, V 2 For controlled voltage source voltage e -sT For the delay time, S is the complex frequency domain, and the algorithm is an algorithm in the complex frequency domain.
As the acceleration simulation method suitable for the large-scale wind power plant, the invention comprises the following steps: the real-time simulation of each subsystem by adopting the autonomous development real-time simulation platform UREP-300 comprises compiling each subsystem into a C code, and leading the C code into the autonomous development real-time simulation platform UREP-300 for real-time simulation.
As the acceleration simulation method suitable for the large-scale wind power plant, the invention comprises the following steps: the real-time simulation platform UREP-300 comprises huge storage space and calculation amount.
As the acceleration simulation method suitable for the large-scale wind power plant, the invention comprises the following steps: the real-time simulation platform UREP-300 performs real-time simulation on each subsystem including,
the solution formula of the real-time simulation platform UREP-300 subsystem is as follows:
x n (t+Δt)＝A kn x n (t)+B kn y n (t+Δt) (2)
wherein x is a state variable, A k 、B k For the state matrix, y is the output quantity, Δt is the integral step length, and when n=1, 2,3 … … and n is less than or equal to 7, the formulas are the state equations of groups 1 to 7 respectively, and the switch number k is the switch number n ＝1、2…2 60 The formulas are the state equations of groups 8 to 12 when n is more than or equal to 8 and less than or equal to 12, and the switching number k is respectively n ＝1、2…2 48 Groups 1 to 7 have 60 switches in total, and the pre-calculated number of system matrices for groups 1 to 7 is only 2 60 Each of the groups 8 to 12 has 48 switches, and the pre-calculated number of the system matrix of each of the groups 1 to 7 is only 2 48 And each.
As the acceleration simulation method suitable for the large-scale wind power plant, the invention comprises the following steps: the groups are led into different simulator cores for parallel calculation, and the pre-calculation number of the system matrix is 2 60 。
As the acceleration simulation method suitable for the large-scale wind power plant, the invention comprises the following steps: the groups are led into different simulator cores for parallel calculation, and the pre-calculation number of the system matrix is 2 48 。
As the acceleration simulation method suitable for the large-scale wind power plant, the invention comprises the following steps: the observation simulation result comprises observation simulation results on a graphical interface of a program development environment matched with the real-time simulation platform.
The invention has the beneficial effects that: the invention not only can ensure the simulation accuracy, flexibility and applicability of the large-scale wind power plant, but also can greatly improve the simulation efficiency of the large-scale wind power plant.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a topological structure diagram of a typical large-scale wind farm suitable for use in the accelerated simulation method of a large-scale wind farm of the present invention.
FIG. 2 is a diagram of an equivalent model of a typical wind farm.
FIG. 3 is a topological diagram of a wind farm according to the acceleration simulation method of the present invention suitable for a large-scale wind farm.
FIG. 4 is a waveform diagram of offline simulation voltage of a wind farm suitable for the acceleration simulation method of a large-scale wind farm.
FIG. 5 is a waveform diagram of off-line simulated current of a wind farm suitable for use in the accelerated simulation method of a large scale wind farm of the present invention.
FIG. 6 is a graph of offline simulated power waveforms of a wind farm suitable for use in an accelerated simulation method of a large scale wind farm in accordance with the present invention.
Fig. 7 is a circuit diagram of a segmentation interface of a classical model segmentation method according to the acceleration simulation method of the present invention for a large-scale wind farm.
FIG. 8 is a segmented wind farm topology suitable for use in the acceleration simulation method of a large scale wind farm of the present invention.
FIG. 9 is a graph of A-phase voltage versus waveform of a wind farm backbone node before and after segmentation for an acceleration simulation method of a large scale wind farm in accordance with the present invention.
FIG. 10 is a graph of a phase A current versus waveform of a trunk node of a wind farm before and after segmentation of the acceleration simulation method applicable to a large-scale wind farm.
FIG. 11 is a graph of power versus waveform of a wind farm backbone node before and after segmentation for an acceleration simulation method of a large scale wind farm of the present invention.
Fig. 12 is a voltage waveform diagram of a trunk node of the present invention running on a real-time simulator for an accelerated simulation method for a large-scale wind farm.
Fig. 13 is a current waveform diagram of a trunk node of the present invention running on a real-time simulator for an accelerated simulation method for a large-scale wind farm.
Fig. 14 is a power waveform diagram of a trunk node of the present invention running on a real-time simulator for an accelerated simulation method for a large-scale wind farm.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Further, in describing the embodiments of the present invention in detail, the cross-sectional view of the device structure is not partially enlarged to a general scale for convenience of description, and the schematic is only an example, which should not limit the scope of protection of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Example 1
Referring to fig. 1, 3 and 7 to 14, for an embodiment of the present invention, an acceleration simulation method suitable for a large-scale wind farm is provided, including:
a typical large-scale wind power plant topological structure is shown in fig. 1, dozens or hundreds of wind power units are distributed in a wide and vast area of hundreds of kilometers, wind energy is converted into electric energy by a fan, the electric energy is boosted by an outlet transformer and then collected onto a 35kV current collecting system, and the electric energy is transmitted remotely and is integrated into a 220kV large power grid.
S1: and establishing a full-topology electromagnetic transient model of the wind power plant on the power simulation software according to the actual parameters of the wind power plant, as shown in fig. 3. It should be noted that:
the wind power plant consists of a plurality of doubly-fed wind turbines. The total installed capacity of the wind farm is 330MW, and the wind farm consists of 55 doubly-fed wind generating sets with rated capacity of 6 MW.
Establishing a full-topology electromagnetic transient model of the wind power plant comprises the steps of not carrying out equivalent simplification treatment on the wind power plant when modeling the actual wind power plant, and 1:1, modeling.
S2: and dividing the whole wind power plant by adopting a classical model segmentation method to obtain subsystems. It should be noted that:
classical model segmentation methods are shown in fig. 7, segmented wind farm topologies are shown in fig. 8,
the classical model segmentation method interface algorithm is as follows:
wherein E is 1 、E 2 Is equivalent power supply of two systems, Z 1 、Z 2 Is the equivalent impedance of two systems, I 1 For controlled current source current, I 2 For the current of system 2, V 1 To control the current source voltage, V 2 For controlled voltage source voltage e -sT For the delay time, S is the complex frequency domain, and the algorithm is an algorithm in the complex frequency domain.
The stability of the test subsystem comprises the step of simulating delay on data acquisition and transmission in real-time simulation by using a unit delay module and performing off-line simulation test on the stability of the subsystem.
The unit delay module is used for simulating the delay in data acquisition and transmission in real time, the stability of the system after the off-line simulation test and segmentation is carried out, the simulation waveforms are shown in fig. 9-11, and the voltage, the current and the power of the system are all highly consistent before and after the segmentation.
S3: and carrying out real-time simulation on each subsystem by adopting an autonomous-research and development real-time simulation platform UREP-300, and observing simulation results. It should be noted that:
compiling each subsystem into a C code, leading the C code into an autonomous research and development real-time simulation platform UREP-300, and carrying out real-time simulation through a simulator in the real-time simulation platform, wherein simulation waveforms are shown in figures 12-14.
The solution formula of the real-time simulation platform UREP-300 subsystem is as follows:
x n (t+Δt)＝A kn x n (t)+B kn y n (t+Δt) (2)
wherein x is a state variable, A k 、B k For the state matrix, y is the output quantity, Δt is the integral step length, and when n=1, 2,3 … … and n is less than or equal to 7, the formulas are the state equations of groups 1 to 7 respectively, and the switch number k is the switch number n ＝1、2…2 60 The formulas are the state equations of groups 8 to 12 when n is more than or equal to 8 and less than or equal to 12, and the switching number k is respectively n ＝1、2…2 48 Groups 1 to 7 have 60 switches in total, and the pre-calculated number of system matrices for groups 1 to 7 is only 2 60 Each of the groups 8 to 12 has 48 switches, and the pre-calculated number of the system matrix of each of the groups 1 to 7 is only 2 48 Each group is led into different simulator cores to carry out parallel calculation, and the pre-calculation number of the system matrix is 2 60 Or 2 48 The running load of the CPU is greatly reduced, and the real-time simulation speed and scale are greatly improved.
And observing the simulation result on a graphical interface of a program development environment matched with the real-time simulation platform.
Example 2
Referring to fig. 2 and 4 to 6, the technical effects adopted in the present method will be verified and described for another embodiment of the present invention.
And (3) performing off-line simulation on the modeled model to verify the modeling correctness of the wind power plant power main system and a control algorithm thereof, wherein a model state space solution formula is shown in a formula 1, and simulation waveforms are shown in figures 4, 5 and 6.
For simulation of a large-scale wind power plant, the current processing method is to apply a corresponding equivalence method to perform equivalence processing on the large-scale wind power plant, such as single-machine equivalence or multi-machine equivalence, as shown in fig. 2, one or more wind turbines replace the whole wind power plant to perform simulation, the equivalent wind power plant model is small, the state equation order is greatly reduced, and simulation of the wind power plant is easy to realize. However, compared with the method, the method has the problem of non-negligible effect; in addition, compared with the traditional offline simulation, the method and the device greatly lighten the running load of the CPU and greatly improve the real-time simulation speed and scale.
Taking a wind power plant simulation scene of 20 doubly-fed fans as an example, setting 50 microsecond step length and simulation duration of 10s, the invention can be seen to greatly improve the real-time simulation speed of a large-scale wind power plant, and the result is shown in the following table:
it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
1. An acceleration simulation method suitable for a large-scale wind farm, comprising the following steps:
establishing a full-topology electromagnetic transient model of the wind power plant on the power simulation software according to actual parameters of the wind power plant;
dividing the whole wind power plant by adopting a classical model segmentation method to obtain subsystems;
and carrying out real-time simulation on each subsystem by adopting an autonomous-research and development real-time simulation platform UREP-300, and observing simulation results.
2. An acceleration simulation method applicable to a large-scale wind farm as claimed in claim 1, wherein: the wind power plant consists of a plurality of double-fed wind power units.
3. An acceleration simulation method applicable to a large-scale wind farm as claimed in claim 1, wherein: the method for establishing the full-topology electromagnetic transient model of the wind power plant comprises the steps that equivalent simplification processing is not carried out on the wind power plant when the actual wind power plant is modeled, and 1:1, modeling.
4. An acceleration simulation method applicable to a large-scale wind farm as claimed in claim 1, wherein: the classical model segmentation method comprises that,
the classical model segmentation method interface algorithm is as follows:
wherein E is 1 、E 2 Is equivalent power supply of two systems, Z 1 、Z 2 Is the equivalent impedance of two systems, I 1 For controlled current source current, I 2 For the current of system 2, V 1 To control the current source voltage, V 2 For controlled voltage source voltage e -sT For the delay time, S is the complex frequency domain, and the algorithm is an algorithm in the complex frequency domain.
5. An acceleration simulation method applicable to a large-scale wind farm as claimed in claim 1, wherein: the real-time simulation of each subsystem by adopting the autonomous development real-time simulation platform UREP-300 comprises compiling each subsystem into a C code, and leading the C code into the autonomous development real-time simulation platform UREP-300 for real-time simulation.
6. An acceleration simulation method applicable to a large-scale wind farm as claimed in claim 1, wherein: the real-time simulation platform UREP-300 comprises huge storage space and calculation amount.
7. An acceleration simulation method applicable to a large-scale wind farm as claimed in claim 1, wherein: the real-time simulation platform UREP-300 performs real-time simulation on each subsystem including,
the solution formula of the real-time simulation platform UREP-300 subsystem is as follows:
x n (t+Δt)＝A kn x n (t)+B kn y n (t+Δt) (2)
wherein x is a state variable, A k 、B k For the state matrix, y is the output quantity, Δt is the integral step length, and when n=1, 2,3 … … and n is less than or equal to 7, the formulas are the state equations of groups 1 to 7 respectively, and the switch number k is the switch number n ＝1、2…2 60 The formulas are the state equations of groups 8 to 12 when n is more than or equal to 8 and less than or equal to 12, and the switching number k is respectively n ＝1、2…2 48 Groups 1 to 7 have 60 switches in total, and the pre-calculated number of system matrices for groups 1 to 7 is only 2 60 Each of the groups 8 to 12 has 48 switches, and the pre-calculated number of the system matrix of each of the groups 1 to 7 is only 2 48 And each.
8. An acceleration simulation method applicable to a large-scale wind farm as claimed in claim 1, wherein: the groups are led into different simulator cores for parallel calculation, and the pre-calculation number of the system matrix is 2 60 。
9. An acceleration simulation method applicable to a large-scale wind farm as claimed in claim 1, wherein: the groups are led into different simulator cores for parallel calculation, and the pre-calculation number of the system matrix is 2 48 。
10. An acceleration simulation method applicable to a large-scale wind farm as claimed in claim 1, wherein: the observation simulation result comprises observation simulation results on a graphical interface of a program development environment matched with the real-time simulation platform.
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| CN116737384A (en) * | 2023-06-21 | 2023-09-12 | 上海玫克生储能科技有限公司 | Acceleration method for electrochemical model simulation calculation, storage medium and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116737384A (en) * | 2023-06-21 | 2023-09-12 | 上海玫克生储能科技有限公司 | Acceleration method for electrochemical model simulation calculation, storage medium and electronic equipment |
| CN116737384B (en) * | 2023-06-21 | 2024-02-27 | 上海玫克生储能科技有限公司 | Acceleration method for electrochemical model simulation calculation, storage medium and electronic equipment |
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