An accelerated simulation method suitable for large-scale wind farms
By combining the full-topology electromagnetic transient model with the real-time simulation platform UREP-300, the problems of low model accuracy and low computational efficiency in large-scale wind farm simulations were solved, achieving efficient and accurate simulation results.
Patent Information
- Application Number
- CN202211089522.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-09-07
- Publication Date
- 2025-10-17
- Estimated Expiration
- 2042-09-07
AI Technical Summary
Existing simulation methods for large-scale wind farms suffer from low model accuracy, poor flexibility, and weak applicability. In particular, in electromagnetic transient simulation, the computational efficiency is low and it is difficult to quickly process a large number of high-order nodes.
A full-topology electromagnetic transient model is used to model the wind farm on a 1:1 scale and then divided into subsystems using the classic model segmentation method. Real-time simulation is performed using the independently developed real-time simulation platform UREP-300, combined with parallel computing technology to observe the simulation results.
It improves the accuracy, flexibility and applicability of large-scale wind farm simulations, while significantly improving simulation efficiency, reducing CPU burden and increasing real-time simulation speed.
Smart Images
Figure CN116090153B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of power generation and grid connection of large-scale wind farms, and particularly relates to a simulation acceleration method suitable for large-scale wind farms. BACKGROUND
[0002] China is rich in wind energy resources. Large-scale wind power bases have been built in Inner Mongolia, Shandong, Hami in Xinjiang, Jiuquan in Gansu, etc. In the future, more investment and construction of wind power will be made, and more 1000 MW wind power bases will emerge. Due to the inherent randomness and volatility of wind power generation, the power generation and grid connection of large-scale wind farms will bring unprecedented impact and challenges to the existing power system. In order to realize the friendly grid connection of large-scale wind power and provide sufficient, safe and efficient clean energy for the development of human society, it is urgent to carry out research on large-scale wind power generation and grid connection. For large-scale wind power systems, it is difficult to directly carry out power tests from the technical and safety perspectives, so it is urgent to use power simulation means to solve these problems. Power system simulation software is one of the most effective tools for analyzing power systems, and has a wide range of applications in system design, planning, operation, control and dispatching. In the face of increasingly large-scale wind power, electromagnetic transient simulation of 1000 MW wind farms has strong practical needs.
[0003] For the simulation of large-scale wind power systems, if the detailed model of power electronic devices in the internal component library of the electromagnetic transient simulation environment is used, it is very difficult to quickly calculate a large number of high-order node admittance matrices in a simulation step due to the large number of switching devices in wind turbines, which will result in very low simulation efficiency. Therefore, for the simulation of large-scale wind farms, the current processing method is to use the corresponding equivalent method to equivalently process the large-scale wind farms, such as single-machine equivalent or multi-machine equivalent, to replace the entire wind farm with one or several wind turbines for simulation. The equivalent wind farm model is small, the order of the state equation is greatly reduced, and the simulation of the wind farm is easy to implement, but the simulation model has low accuracy, poor flexibility and weak applicability. SUMMARY
[0004] This section is intended to summarize some aspects of the embodiments of the present application and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of the specification to avoid obscuring the purpose of this section, the abstract and the title, and such simplifications or omissions cannot be used to limit the scope of the present application.
[0005] In view of the problems of low model accuracy, poor flexibility and weak applicability of the equivalent simulation model used by the existing wind power system, the present application is proposed.
[0006] Therefore, the application aims to provide an accelerated simulation method suitable for large-scale wind farms.
[0007] To solve the above technical problems, the application provides the following technical solutions.
[0008] As the accelerated simulation method suitable for large-scale wind farms, wherein: a full topology electromagnetic transient model of the wind farm is established on a power simulation software according to actual parameters of the wind farm;
[0009] The entire wind farm is divided into subsystems by using a classical model partition method.
[0010] Each of the subsystems is simulated in real time by using a real-time simulation platform UREP-300 independently developed by the application, and a simulation result is observed.
[0011] As the accelerated simulation method suitable for large-scale wind farms, wherein: the wind farm is composed of multiple double-fed wind turbine generators.
[0012] As the accelerated simulation method suitable for large-scale wind farms, wherein: the establishment of the full topology electromagnetic transient model of the wind farm includes no equivalent simplification of the wind farm when modeling the actual wind farm, and the wind farm is modeled in a 1:1 manner according to the scale, unit parameters and operating conditions of the actual wind farm.
[0013] As the accelerated simulation method suitable for large-scale wind farms, wherein: the classical model partition method includes,
[0014] The interface algorithm of the classical model partition method is as follows:
[0015]
[0016] Wherein, E1 and E2 are equivalent power sources of two systems, Z1 and Z2 are equivalent impedances of the two systems, I1 is a controlled current source current, I2 is a current of system 2, V1 is a controlled current source voltage, V2 is a controlled voltage source voltage, e -sT is a delay time, S is a complex frequency domain, and the above algorithm is an algorithm in a complex frequency domain.
[0017] As the accelerated simulation method suitable for large-scale wind farms, wherein: the real-time simulation of each of the subsystems by using the real-time simulation platform UREP-300 independently developed by the application includes compiling each of the subsystems into C code and importing the C code into the real-time simulation platform UREP-300 for real-time simulation.
[0018] As the accelerated simulation method suitable for large-scale wind farms, wherein: the real-time simulation platform UREP-300 includes a huge storage space and a large amount of calculation.
[0019] As the acceleration simulation method suitable for large-scale wind farms described in the application, wherein: the real-time simulation platform UREP-300 carries out real-time simulation on each of the subsystems includes,
[0020] The formula for the real-time simulation platform UREP-300 to solve the subsystem is as follows:
[0021] x n (t+Δt)=A kn x n (t)+B kn y n (t+Δt) (2)
[0022] Wherein, wherein, x is a state variable, A k , B k is a state matrix, y is an output, Δt is an integral step, n=1, 2, 3…, n≤7, the formula is the state equation of group 1 to 7 respectively, the switch number k n =1, 2…2 60 , 8≤n≤12, the formula is the state equation of group 8 to 12 respectively, the switch number k n =1, 2…2 48 , each group of group 1 to 7 has 60 switches, and the system matrix pre-computing number of group 1 to 7 is only 2 60 , each group of group 8 to 12 has 48 switches, and the system matrix pre-computing number of each group of 1 to 7 is only 2 48
[0023] As the acceleration simulation method suitable for large-scale wind farms described in the application, wherein: the each group is imported into different simulation machine core for parallel calculation, and the system matrix pre-computing number is 2 60
[0024] As the acceleration simulation method suitable for large-scale wind farms described in the application, wherein: the each group is imported into different simulation machine core for parallel calculation, and the system matrix pre-computing number is 2 48
[0025] As the acceleration simulation method suitable for large-scale wind farms described in the application, wherein: the observation simulation result includes observing the simulation result on the graphical interface of the program development environment matched with the real-time simulation platform.
[0026] The application has the advantages that the simulation accuracy, flexibility, applicability of large-scale wind farms can be ensured, and the simulation efficiency of large-scale wind farms can be greatly improved. BRIEF DESCRIPTION OF DRAWINGS
[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments description. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings. Among them:
[0028] Figure 1 The topological structure diagram of a typical large-scale wind farm suitable for the accelerated simulation method of the large-scale wind farm of the present application.
[0029] Figure 2 The equivalent model diagram of a typical wind farm.
[0030] Figure 3 The wind farm topology diagram of the accelerated simulation method suitable for the large-scale wind farm of the present application.
[0031] Figure 4 The wind farm off-line simulation voltage waveform diagram of the accelerated simulation method suitable for the large-scale wind farm of the present application.
[0032] Figure 5 The wind farm off-line simulation current waveform diagram of the accelerated simulation method suitable for the large-scale wind farm of the present application.
[0033] Figure 6 The wind farm off-line simulation power waveform diagram of the accelerated simulation method suitable for the large-scale wind farm of the present application.
[0034] Figure 7 The interface circuit diagram of the classical model segmentation method of the accelerated simulation method suitable for the large-scale wind farm of the present application.
[0035] Figure 8 The segmented wind farm topology diagram of the accelerated simulation method suitable for the large-scale wind farm of the present application.
[0036] Figure 9 The A-phase voltage comparison waveform of the wind farm main node before and after segmentation of the accelerated simulation method suitable for the large-scale wind farm of the present application.
[0037] Figure 10 The A-phase current comparison waveform diagram of the wind farm main node before and after segmentation of the accelerated simulation method suitable for the large-scale wind farm of the present application.
[0038] Figure 11 The power comparison waveform diagram of the wind farm main node before and after segmentation of the accelerated simulation method suitable for the large-scale wind farm of the present application.
[0039] Figure 12A voltage waveform diagram of a backbone node running on a real-time simulator for the accelerated simulation method for large-scale wind farms of the present application.
[0040] Figure 13 A current waveform diagram of a backbone node running on a real-time simulator for the accelerated simulation method for large-scale wind farms of the present application.
[0041] Figure 14 A power waveform diagram of a backbone node running on a real-time simulator for the accelerated simulation method for large-scale wind farms of the present application. DETAILED DESCRIPTION
[0042] In order to make the above objectives, features and advantages of the present application more apparent, specific embodiments of the present application will be described in detail below with reference to the accompanying drawings.
[0043] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, it will be apparent to one skilled in the art that the present application can be practiced without the specific details given herein, that the present application can be practiced with other than the described embodiments, and that variations from the particular embodiments described herein can be made and still be within the scope of the present application.
[0044] Secondly, the "one embodiment" or "embodiment" referred to herein means that a specific feature, structure or characteristic can be included in at least one implementation of the present application. The "in one embodiment" appearing in different places in the specification does not mean the same embodiment, nor is it an embodiment that is independent of or mutually exclusive with other embodiments.
[0045] Thirdly, the present application is described in detail in conjunction with the schematic diagrams. In the detailed description of the embodiments of the present application, the sectional view of the device structure is locally enlarged without the general proportion for the convenience of description, and the schematic diagram is only an example, which should not limit the scope of protection of the present application herein. In addition, the three-dimensional spatial dimensions of length, width and depth should be included in actual manufacture.
[0046] Embodiment 1
[0047] Reference Figure 1 , Figure 3 , Figures 7 to 14 For one embodiment of the present application, an accelerated simulation method suitable for large-scale wind farms is provided, which comprises:
[0048] A typical large-scale wind farm topology structure is shown in Figure 1 , dozens or hundreds of wind turbines are distributed over hundreds of kilometers of vast areas, the wind turbines convert wind energy into electric energy, which is collected on the 35kV power collection system through the outlet transformer after being boosted, and then transmitted to the 220kV large power grid.
[0049] S1: According to the actual parameters of the wind farm, a full topology electromagnetic transient model of the wind farm is established on the power simulation software, as shown in FIG. 1. It should be pointed out that: Figure 3
[0050] The wind farm is composed of multiple double-fed wind turbines. The total installed capacity of the wind farm is 330 MW, which is composed of 55 double-fed wind turbines with a rated capacity of 6 MW.
[0051] The establishment of the full topology electromagnetic transient model of the wind farm includes not simplifying the wind farm when modeling the actual wind farm, modeling according to the scale, unit parameters and operating conditions of the actual wind farm, 1:1.
[0052] S2: The entire wind farm is divided into subsystems by using a classical model segmentation method. It should be pointed out that:
[0053] The classical model segmentation method is as shown in FIG. 2, and the topology of the segmented wind farm is as shown in FIG. 3. Figure 7 Figure 8
[0054] The interface algorithm of the classical model segmentation method is as follows:
[0055]
[0056] Wherein, E1 and E2 are equivalent power sources of the two systems, Z1 and Z2 are equivalent impedances of the two systems, I1 is a controlled current source current, I2 is a current of system 2, V1 is a controlled current source voltage, V2 is a controlled voltage source voltage, e -sT is a delay time, S is a complex frequency domain, and the above algorithm is an algorithm in a complex frequency domain.
[0057] Testing the stability of the subsystem includes simulating the delay of data acquisition and transmission in real-time simulation with a unit delay module, and testing the stability of the subsystem offline.
[0058] The delay of data acquisition and transmission in real-time simulation is simulated with a unit delay module, and the stability of the segmented system is tested offline. The simulation waveform is as shown in FIG. 4, and the voltage, current and power of the system before and after segmentation are highly consistent. Figures 9 to 11
[0059] S3: Real-time simulation of each subsystem is performed by using the independently developed real-time simulation platform UREP-300, and the simulation results are observed. It should be pointed out that:
[0060] Each subsystem is compiled into C code and imported into the independently developed real-time simulation platform UREP-300 for real-time simulation by the simulation machine in the real-time simulation platform. The simulation waveform is as shown in FIG. 5. Figures 12 to 14
[0061] The formula of the real-time simulation platform UREP-300 to the subsystem is as follows:
[0062] x n (t+Δt)=A kn x n (t)+B kn y n (t+Δt) (2)
[0063] Wherein, wherein, x is a state variable, A k , B k is a state matrix, y is an output, Δt is an integral step, n=1, 2, 3,..., n≤7, the formula is respectively the state equation of group 1 to 7, the switch number k n =1, 2,..., 2 60 , 8≤n≤12, the formula is respectively the state equation of group 8 to 12, the switch number k n =1, 2,..., 2 48 , each group of group 1 to 7 has 60 switches, the system matrix pre-computing number of group 1 to 7 is only 2 60 , each group of group 8 to 12 has 48 switches, the system matrix pre-computing number of 1 to 7 each group is only 2 48 , import each group into different simulation machine cores for parallel computing, at this time, the system matrix pre-computing number is 2 60 or 2 48 , which greatly reduces the running burden of CPU and greatly improves the real-time simulation speed and scale.
[0064] The simulation result is observed on the graphical interface of the program development environment matched with the real-time simulation platform.
[0065] Embodiment 2
[0066] Referring to Figure 2 , Figures 4 to 6 , another embodiment of the present application is verified and explained to the technical effect adopted in the method.
[0067] The model is verified by offline simulation, and the correctness of the modeling of the wind power main system and the control algorithm is verified, at this time, the model state space solution formula is shown as formula 1, and the simulation waveform is shown as Figure 4 , 5 , and 6.
[0068] For the simulation of large-scale wind farms, the current processing method is to apply the corresponding equivalent method to the equivalent processing of large-scale wind farms, such as single-machine equivalent or multi-machine equivalent, such as Figure 2The simulation is carried out by replacing the whole wind farm with one or several wind turbines, the equivalent wind farm model is small, the order of state equation is greatly reduced, and the simulation of the wind farm is easy to realize. However, there are still problems that cannot be ignored compared with the method; in addition, compared with the traditional offline simulation, the CPU operation burden is greatly reduced, and the real-time simulation speed and scale are greatly improved.
[0069] Taking the simulation scene of a wind farm with 20 double-fed wind turbines as an example, a 50 microsecond step is set, and the simulation time is 10s. It can be seen that the real-time simulation speed of large-scale wind farms is greatly improved, and the results are as follows:
[0070]
[0071]
[0072] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, and they should be covered in the scope of the claims of the present application.
Claims
1. An accelerated simulation method suitable for large-scale wind farms, characterized in that: include: Based on the actual parameters of the wind farm, a full topology electromagnetic transient model of the wind farm is established on the power simulation software; The entire wind farm is divided into subsystems using the classic model segmentation method; Use the independently developed real-time simulation platform UREP-300 to simulate each subsystem in real time and observe the simulation results; The classic model segmentation methods include: The classic model segmentation method interface algorithm is as follows: Among them, E1 and E2 are the equivalent power sources of the two systems, Z1 and Z2 are the equivalent impedances of the two systems, I1 is the current of the controlled current source, I2 is the current of system 2, V1 is the voltage of the controlled current source, V2 is the voltage of the controlled voltage source, e -sT is the delay time, S is the complex frequency domain, and the above algorithm is an algorithm in the complex frequency domain; The real-time simulation platform UREP-300 performs real-time simulation on each of the subsystems, including: The real-time simulation platform UREP-300 solves the subsystem equation as follows: x n (t+Δt)=A kn x n (t)+B kn y n (t+Δt) (2) Among them, x is the state variable, A k 、B k is the state matrix, y is the output, Δt is the integration step, n=1, 2, 3……, when n≤7, the formulas are the state equations of groups 1 to 7, the number of switches k n =1, 2…2 60 , when 8≤n≤12, the formulas are the state equations for groups 8 to 12, and the number of switches k n =1, 2…2 48 , Groups 1 to 7 each have a total of 60 switches, and the number of system matrices pre-calculated for Groups 1 to 7 is only 2 60 Groups 8 to 12 each have 48 switches, and groups 1 to 7 each have only 2 pre-calculated system matrices. 48 indivual; Import the above groups into different simulation cores for parallel calculation. At this time, the number of system matrix pre-calculation is 2. 60 ; Import the above groups into different simulation cores for parallel calculation. At this time, the number of system matrix pre-calculation is 2. 48 ; The establishment of the full topology electromagnetic transient model of the wind farm includes not performing equivalent simplification processing on the wind farm when modeling the actual wind farm, and performing 1:1 modeling according to the scale, unit parameters and operating conditions of the actual wind farm.
2. The accelerated simulation method applicable to large-scale wind farms according to claim 1, characterized in that: The wind farm is composed of a plurality of doubly-fed wind turbine generator sets.
3. The accelerated simulation method applicable to large-scale wind farms according to claim 2, characterized in that: The real-time simulation of each subsystem using the independently developed real-time simulation platform UREP-300 includes compiling each subsystem into C code and importing it into the independently developed real-time simulation platform UREP-300 for real-time simulation.
4. The accelerated simulation method applicable to large-scale wind farms according to claim 3, characterized in that: The real-time simulation platform UREP-300 includes huge storage space and computing capacity.
5. The accelerated simulation method applicable to large-scale wind farms according to claim 4, characterized in that: The observing simulation results includes observing the simulation results on a graphical interface of a program development environment supporting the real-time simulation platform.