WO2016188503A2 - Implementation method suitable for electromagnetic transient multi-time scale real-time simulation interface - Google Patents

Implementation method suitable for electromagnetic transient multi-time scale real-time simulation interface Download PDF

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WO2016188503A2
WO2016188503A2 PCT/CN2016/089823 CN2016089823W WO2016188503A2 WO 2016188503 A2 WO2016188503 A2 WO 2016188503A2 CN 2016089823 W CN2016089823 W CN 2016089823W WO 2016188503 A2 WO2016188503 A2 WO 2016188503A2
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time
time scale
real
simulation
fpga
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WO2016188503A3 (en
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穆清
李亚楼
张星
王祥旭
陈绪江
朱毅
王艺璇
孙丽香
胡晓波
彭红英
张彦涛
张志强
刘敏
李琨
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中国电力科学研究院
国家电网公司
国网山东省电力公司经济技术研究院
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  • the invention relates to an implementation method, in particular to an implementation method suitable for an electromagnetic transient multi-time scale real-time simulation interface.
  • the real-time digital simulation system of the power system can simulate various operating conditions of the power system in real time, and has the advantages of small size, low power consumption, good versatility, high repeatability, low price dynamic simulation and low cost of digital-analog hybrid simulation device. Widely used in the testing of power automation equipment.
  • the small step simulation system is an important part of a complete electromagnetic transient simulation system. As the simulation step size becomes smaller, the simulation burden of the system also increases, which requires the use of the FPGA hardware acceleration platform to implement real-time double-precision floating-point operations of the small-step simulation system.
  • FPGA programs should implement parallelism and reduce dependencies between data.
  • FPGA should shorten the length of a single computing pipeline.
  • the LUT of the FPGA can be used both for storage and for calculation; in order to improve the computing power of the FPGA, the use of the storage space of the FPGA must be reduced.
  • the existing multi-time-scale meshing algorithm design method utilizes the natural delay characteristics of the transmission line. Among them, the equivalent calculation circuit is shown in Figure 2.
  • the current source recursion formula is:
  • the present invention provides an implementation method for an electromagnetic transient multi-time scale real-time simulation interface, which effectively solves the interconnection problem between the FPGA small step size simulation system and the server system of the power system, and solves the simulation scale.
  • the problem of limitation greatly improves the efficiency of simulation.
  • An implementation method suitable for an electromagnetic transient multi-time scale real-time simulation interface comprising the following steps:
  • determining a time scale of the sub-network according to a dynamic time constant of the system includes a minimum time scale and a non-minimum time scale.
  • the network of the minimum time scale runs on a real-time FPGA simulation platform
  • the network of a non-minimum time scale runs on a real-time server platform.
  • the network matrix initialization in the step (2) comprises: using an external interpolation method to inversely push the initial voltage and current of the electromagnetic transient simulation system, estimating the system voltage and current before the current time, and recording the time and solution.
  • the voltage and current associated with the coupling element comprises: using an external interpolation method to inversely push the initial voltage and current of the electromagnetic transient simulation system, estimating the system voltage and current before the current time, and recording the time and solution.
  • the network matrix is stored in the memory of the FPGA platform.
  • timing control is performed by the FPGA platform, the FPGA platform and the real-time server platform are synchronously started, and the network running on the FPGA system is transmitted to the real-time server platform every other non-minimum time scale.
  • Matrix data is
  • the real-time server platform when the real-time server platform receives the data transmitted by the FPGA, compares with the historical interface data on the real-time server platform, and obtains an intermediate variable of the non-minimum time scale of the FPGA platform, and Transfer to the FPGA platform on a non-minimum time scale.
  • step (3) is repeated; if not, the simulation calculation is performed using the intermediate variable of the next non-minimum time scale.
  • the present invention provides an implementation method of an electromagnetic transient multi-time scale real-time simulation interface.
  • the decoupling component is decomposed into two controlled sources with fixed internal resistance by initialization, and the pre-process on the server side is adopted.
  • the calculation incorporates the controlled source into the sub-network before the simulation begins, preventing the core network equation from being affected by changes in the controlled source calculation. This solidifies the calculation process and is beneficial to the implementation of the FPGA.
  • the splitting and design of the interface simulation calculation is proposed, which solves the problem of unbalanced computing load and excessive computational resources of FPGA in multi-scale parallel network calculation, and improves the calculation speed and simulation scale.
  • FIG. 1 is a flow chart of an implementation method of an electromagnetic transient multi-time scale real-time simulation interface provided by the present invention
  • FIG. 2 is a schematic structural diagram of an equivalent value calculation circuit provided by the background art.
  • an implementation method suitable for an electromagnetic transient multi-time scale real-time simulation interface comprising the following steps:
  • determining the time scale of the sub-network according to the dynamic time constant of the system includes a minimum time scale and a non-minimum time scale.
  • the following dynamic time constants can be selected: 1, 10, 50, 100, 1000.
  • the network of the minimum time scale runs on a real-time FPGA simulation platform, and the network of a non-minimum time scale runs on a real-time server platform.
  • the network matrix initialization includes: using an external interpolation method to initialize the initial voltage of the electromagnetic transient simulation system Reverse the current with the current, estimate the system voltage and current before the current time, and record the voltage and current associated with the decoupling component at that time;
  • the network matrix is stored in the memory (SRAM) of the FPGA platform.
  • the FPGA platform performs timing control, synchronously starts the FPGA platform and the real-time server platform, and transmits data of the network matrix running on the FPGA system to the real-time server platform every other non-minimum time scale. .
  • step (4) when the real-time server platform receives the data transmitted by the FPGA, compares with the historical interface data on the real-time server platform, and obtains an intermediate variable of the non-minimum time scale of the FPGA platform, and is at a non-minimum Transfer to the FPGA platform in time scale.
  • step (3) On a non-minimum time scale, if the FPGA receives the data of the real-time server platform, step (3) is repeated; if not, the simulation is performed using the intermediate variable of the next non-minimum time scale.

Abstract

The present invention relates to an implementation method suitable for an electromagnetic transient multi-time scale real-time cnsimulation interface, said method comprising the following steps: according to an electromagnetic transient multi-time scale, dividing a simulation system into a plurality of sub-networks connected via decoupling element transmission lines, and determining time scales of the sub-networks; via a Thévenin equivalent circuit, breaking down a decoupling element into two controlled sources having fixed internal resistances, incorporating into the sub-networks, and performing network matrix initialisation; performing simulation calculation, and receiving data of an FPGA platform; pre-processing the data of the FPGA platform, obtaining intermediate variables, and continuing the simulation calculation.

Description

一种适用于电磁暂态多时间尺度实时仿真接口的实现方法Method for realizing electromagnetic transient multi-time scale real-time simulation interface 技术领域Technical field
本发明涉及一种实现方法,具体涉及一种适用于电磁暂态多时间尺度实时仿真接口的实现方法。The invention relates to an implementation method, in particular to an implementation method suitable for an electromagnetic transient multi-time scale real-time simulation interface.
背景技术Background technique
电力系统中,为了验证新的电力自动化设备的功能和性能,在设备投入实际系统运行前需要进行大量测试。电力系统实时数字仿真系统可以实时模拟电力系统各种运行工况,具有体积小、功耗低、通用性好、可重复性强、价格较动态模拟和数模混合式仿真装置低廉等优点,因而在电力自动化设备的测试中获得了广泛应用。In the power system, in order to verify the function and performance of the new power automation equipment, a large number of tests are required before the equipment is put into actual system operation. The real-time digital simulation system of the power system can simulate various operating conditions of the power system in real time, and has the advantages of small size, low power consumption, good versatility, high repeatability, low price dynamic simulation and low cost of digital-analog hybrid simulation device. Widely used in the testing of power automation equipment.
小步长仿真系统是一个完整的电磁暂态仿真系统的重要组成部分。随着仿真步长变小,系统的仿真负担也随之增加,从而需要使用FPGA硬件加速平台用以实现小步长仿真系统的实时的双精度浮点运算。The small step simulation system is an important part of a complete electromagnetic transient simulation system. As the simulation step size becomes smaller, the simulation burden of the system also increases, which requires the use of the FPGA hardware acceleration platform to implement real-time double-precision floating-point operations of the small-step simulation system.
但是由于仿真系统的仿真能力的限制,很多大型的仿真算例并不能完全在一个平台上运行。因此必须把大型的仿真算例划分为规模较小的网络,并通过接口互联,使得仿真结果与一个完整的大型仿真算例完全一致,而FPGA上只进行小步长仿真的局部网络。于是产生了在FPGA平台上进行多时间尺度分网并行仿真的需求。However, due to the limitations of the simulation capabilities of the simulation system, many large simulation examples cannot be run completely on one platform. Therefore, large-scale simulation examples must be divided into smaller networks and interconnected through interfaces, so that the simulation results are completely consistent with a complete large-scale simulation example, and only a small-step simulation local network is performed on the FPGA. This has created a need for parallel simulation of multi-time scale partitioning on the FPGA platform.
FPGA平台的设计必须保证三个原则:The design of the FPGA platform must guarantee three principles:
1.FPGA的程序应该实现保证并行,减少数据间的依赖关系。1. FPGA programs should implement parallelism and reduce dependencies between data.
2.FPGA为了提升仿真能力,应该缩短单一计算流水线的长度。2. In order to improve the simulation capability, FPGA should shorten the length of a single computing pipeline.
3.FPGA的LUT既可以用作存储又可以用于计算;为了提升FPGA的计算能力,必须减少FPGA的存储空间的使用。3. The LUT of the FPGA can be used both for storage and for calculation; in order to improve the computing power of the FPGA, the use of the storage space of the FPGA must be reduced.
现有的多时间尺度分网算法的设计方法利用了传输线自然延迟特性。其中,等值计算电路如图2所示,The existing multi-time-scale meshing algorithm design method utilizes the natural delay characteristics of the transmission line. Among them, the equivalent calculation circuit is shown in Figure 2.
电流源递推公式为:The current source recursion formula is:
Figure PCTCN2016089823-appb-000001
Figure PCTCN2016089823-appb-000001
由此递推公式可知,每一个子网上都需要保留2τmi/dt的变量,同时,由于τmi是一个变量,导致变量缓存区的大小不能固定;同时,上述递推公式中变量是模态量,交流的模态量转换为仿真系统需要的瞬时量,该转换是一个长流水线计算,会占用大量时序;最后,为了提升FPGA平台的仿真能力,必须尽量优化FPGA侧的计算,对于复杂的接口计算必须进行简化。From this recursive formula, it is known that each subnet needs to retain a variable of 2τ mi /dt. At the same time, since τ mi is a variable, the size of the variable buffer cannot be fixed. Meanwhile, the variable in the above recursive formula is modal. The quantity, the modal quantity of the AC is converted into the instantaneous quantity required by the simulation system. The conversion is a long pipeline calculation, which takes up a lot of timing. Finally, in order to improve the simulation capability of the FPGA platform, the calculation on the FPGA side must be optimized as much as possible for complex Interface calculations must be simplified.
发明内容Summary of the invention
为了实现上述目的,本发明提供一种适用于电磁暂态多时间尺度实时仿真接口的实现方法,有效的解决电力系统的FPGA小步长仿真系统与服务器系统之间的互联问题,解决了仿真规模限制的问题,极大提升了仿真效率。In order to achieve the above object, the present invention provides an implementation method for an electromagnetic transient multi-time scale real-time simulation interface, which effectively solves the interconnection problem between the FPGA small step size simulation system and the server system of the power system, and solves the simulation scale. The problem of limitation greatly improves the efficiency of simulation.
本发明的目的是采用下述技术方案实现的:The object of the present invention is achieved by the following technical solutions:
一种适用于电磁暂态多时间尺度实时仿真接口的实现方法,所述方法包括下述步骤:An implementation method suitable for an electromagnetic transient multi-time scale real-time simulation interface, the method comprising the following steps:
(1)根据电磁暂态多时间尺度,将仿真系统划分为多个通过解耦元件传输线连接的子网络,并确定所述子网络的时间尺度;(1) dividing the simulation system into a plurality of sub-networks connected by a decoupling component transmission line according to an electromagnetic transient multi-time scale, and determining a time scale of the sub-network;
(2)通过戴维南等值电路将解耦元件分解为两个内阻固定的受控源,并入所述子网络中,进行网络矩阵初始化;(2) Decomposing the decoupling component into two controlled sources with fixed internal resistance through the Thevenin equivalent circuit, incorporating the sub-network, and performing network matrix initialization;
(3)进行仿真计算,接收FPGA平台的数据;(3) performing simulation calculation and receiving data of the FPGA platform;
(4)预处理FPGA平台的数据,获得中间变量,继续仿真计算。(4) Preprocess the data of the FPGA platform, obtain the intermediate variables, and continue the simulation calculation.
优选的,所述步骤(1)中,根据系统的动态时间常数确定所述子网络的时间尺度包括最小时间尺度和非最小时间尺度。Preferably, in the step (1), determining a time scale of the sub-network according to a dynamic time constant of the system includes a minimum time scale and a non-minimum time scale.
进一步地,所述最小时间尺度的网络在实时FPGA仿真平台上运行,非最小时间尺度的网络在实时服务器平台上运行。Further, the network of the minimum time scale runs on a real-time FPGA simulation platform, and the network of a non-minimum time scale runs on a real-time server platform.
优选的,所述步骤(2)中网络矩阵初始化包括:采用外插值法对电磁暂态仿真系统的初始电压和电流进行反推,估算当前时刻之前的系统电压和电流,并记录该时间与解耦元件相关的电压和电流;Preferably, the network matrix initialization in the step (2) comprises: using an external interpolation method to inversely push the initial voltage and current of the electromagnetic transient simulation system, estimating the system voltage and current before the current time, and recording the time and solution. The voltage and current associated with the coupling element;
完成网络矩阵初始化后,将该网络矩阵存储至FPGA平台的内存中。After the network matrix is initialized, the network matrix is stored in the memory of the FPGA platform.
优选的,所述步骤(3)中,通过FPGA平台进行时序控制,同步启动所述FPGA平台与实时服务器平台,每隔一个非最小时间尺度向所述实时服务器平台传输在FPGA系统上运行的网络矩阵的数据。Preferably, in the step (3), timing control is performed by the FPGA platform, the FPGA platform and the real-time server platform are synchronously started, and the network running on the FPGA system is transmitted to the real-time server platform every other non-minimum time scale. Matrix data.
优选的,所述步骤(4)中,当实时服务器平台接收到FPGA传输的数据后,与实时服务器平台上的历史接口数据进行比较,获得FPGA平台下一个非最小时间尺度的中间变量,并在 一个非最小时间尺度内传送至FPGA平台。Preferably, in the step (4), when the real-time server platform receives the data transmitted by the FPGA, compares with the historical interface data on the real-time server platform, and obtains an intermediate variable of the non-minimum time scale of the FPGA platform, and Transfer to the FPGA platform on a non-minimum time scale.
进一步地,在一个非最小时间尺度内,如果FPGA接收到实时服务器平台的数据,则重复步骤(3);如未收到,则利用所述下一个非最小时间尺度的中间变量进行仿真计算。Further, in a non-minimum time scale, if the FPGA receives the data of the real-time server platform, step (3) is repeated; if not, the simulation calculation is performed using the intermediate variable of the next non-minimum time scale.
与最接近的现有技术比,本发明达到的有益效果是:Compared with the closest prior art, the present invention achieves the following beneficial effects:
1.本发明提供了电磁暂态多时间尺度实时仿真接口的实现方法,在具体的仿真计算前,通过初始化把解耦元件分解为两个内阻固定的受控源,通过在服务器侧的预计算,将受控源在仿真开始前并入了子网络,防止由于受控源计算的变化使核心网络方程造成影响。由此固化了计算过程,有利于FPGA的实现。1. The present invention provides an implementation method of an electromagnetic transient multi-time scale real-time simulation interface. Before the specific simulation calculation, the decoupling component is decomposed into two controlled sources with fixed internal resistance by initialization, and the pre-process on the server side is adopted. The calculation incorporates the controlled source into the sub-network before the simulation begins, preventing the core network equation from being affected by changes in the controlled source calculation. This solidifies the calculation process and is beneficial to the implementation of the FPGA.
2.提出了解耦元件预计算的解决方案,结合了FPGA运算的特点,把可能发生的情况都在预计算过程中进行处理,即将变量变化导致计算和存储变化的计算区域提取出来,放入了独立的服务器芯片中进行计算,把必须保留的固定的计算部分保留在FPGA中实现。大大节省了FPGA的资源,提升了FPGA的网络计算能力。2. Propose the pre-calculation solution of the decoupling component, combine the characteristics of the FPGA operation, and process the possible situations in the pre-calculation process, that is, the calculation area of the calculation and storage change is extracted by the variable change, and put into The calculation is performed in a separate server chip, and the fixed calculation portion that must be retained is retained in the FPGA. It greatly saves the resources of FPGA and improves the network computing power of FPGA.
3.提出了对接口仿真计算的拆分和设计,解决了FPGA在多尺度并行分网计算中接口计算负荷的不平衡、占用过多计算资源的问题,提高了计算速度和仿真规模。The splitting and design of the interface simulation calculation is proposed, which solves the problem of unbalanced computing load and excessive computational resources of FPGA in multi-scale parallel network calculation, and improves the calculation speed and simulation scale.
附图说明DRAWINGS
图1为本发明提供的电磁暂态多时间尺度实时仿真接口的实现方法流程图;1 is a flow chart of an implementation method of an electromagnetic transient multi-time scale real-time simulation interface provided by the present invention;
图2为背景技术提供的等值计算电路结构示意图。2 is a schematic structural diagram of an equivalent value calculation circuit provided by the background art.
具体实施方式detailed description
如图1所示,一种适用于电磁暂态多时间尺度实时仿真接口的实现方法,所述方法包括下述步骤:As shown in FIG. 1, an implementation method suitable for an electromagnetic transient multi-time scale real-time simulation interface, the method comprising the following steps:
(1)根据电磁暂态多时间尺度,将仿真系统划分为多个通过解耦元件传输线连接的子网络,并确定所述子网络的时间尺度;(1) dividing the simulation system into a plurality of sub-networks connected by a decoupling component transmission line according to an electromagnetic transient multi-time scale, and determining a time scale of the sub-network;
所述步骤(1)中,根据系统的动态时间常数确定所述子网络的时间尺度包括最小时间尺度和非最小时间尺度。In the step (1), determining the time scale of the sub-network according to the dynamic time constant of the system includes a minimum time scale and a non-minimum time scale.
根据不同的仿真精度,可选择以下动态时间常数(微秒):1,10,50,100,1000。Depending on the simulation accuracy, the following dynamic time constants (microseconds) can be selected: 1, 10, 50, 100, 1000.
所述最小时间尺度的网络在实时FPGA仿真平台上运行,非最小时间尺度的网络在实时服务器平台上运行。The network of the minimum time scale runs on a real-time FPGA simulation platform, and the network of a non-minimum time scale runs on a real-time server platform.
(2)通过戴维南等值电路将解耦元件分解为两个内阻固定的受控源,并入所述子网络中,进行网络矩阵初始化;(2) Decomposing the decoupling component into two controlled sources with fixed internal resistance through the Thevenin equivalent circuit, incorporating the sub-network, and performing network matrix initialization;
所述步骤(2)中,网络矩阵初始化包括:采用外插值法对电磁暂态仿真系统的初始电压 和电流进行反推,估算当前时刻之前的系统电压和电流,并记录该时间与解耦元件相关的电压和电流;In the step (2), the network matrix initialization includes: using an external interpolation method to initialize the initial voltage of the electromagnetic transient simulation system Reverse the current with the current, estimate the system voltage and current before the current time, and record the voltage and current associated with the decoupling component at that time;
完成网络矩阵初始化后,将该网络矩阵存储至FPGA平台的内存(SRAM)中。After the network matrix is initialized, the network matrix is stored in the memory (SRAM) of the FPGA platform.
(3)进行仿真计算,接收FPGA平台的数据;(3) performing simulation calculation and receiving data of the FPGA platform;
所述步骤(3)中,通过FPGA平台进行时序控制,同步启动所述FPGA平台与实时服务器平台,每隔一个非最小时间尺度向所述实时服务器平台传输在FPGA系统上运行的网络矩阵的数据。In the step (3), the FPGA platform performs timing control, synchronously starts the FPGA platform and the real-time server platform, and transmits data of the network matrix running on the FPGA system to the real-time server platform every other non-minimum time scale. .
(4)预处理FPGA平台的数据,获得中间变量(SUB4_LC_TMP1和SUB4_LC_TMP5),继续仿真计算。(4) Preprocess the data of the FPGA platform, obtain the intermediate variables (SUB4_LC_TMP1 and SUB4_LC_TMP5), and continue the simulation calculation.
所述步骤(4)中,当实时服务器平台接收到FPGA传输的数据后,与实时服务器平台上的历史接口数据进行比较,获得FPGA平台下一个非最小时间尺度的中间变量,并在一个非最小时间尺度内传送至FPGA平台。In the step (4), when the real-time server platform receives the data transmitted by the FPGA, compares with the historical interface data on the real-time server platform, and obtains an intermediate variable of the non-minimum time scale of the FPGA platform, and is at a non-minimum Transfer to the FPGA platform in time scale.
在一个非最小时间尺度内,如果FPGA接收到实时服务器平台的数据,则重复步骤(3);如未收到,则利用所述下一个非最小时间尺度的中间变量进行仿真计算。On a non-minimum time scale, if the FPGA receives the data of the real-time server platform, step (3) is repeated; if not, the simulation is performed using the intermediate variable of the next non-minimum time scale.
最后应当说明的是:以上实施例仅用以说明本发明的技术方案而非对其限制,所属领域的普通技术人员尽管参照上述实施例应当理解:依然可以对本发明的具体实施方式进行修改或者等同替换,这些未脱离本发明精神和范围的任何修改或者等同替换,均在申请待批的本发明的权利要求保护范围之内。 It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to be limiting, and those skilled in the art should understand that the specific embodiments of the present invention may be modified or equivalent. Rather, any modifications or equivalents of the present invention are intended to be included within the scope of the appended claims.

Claims (7)

  1. 一种适用于电磁暂态多时间尺度实时仿真接口的实现方法,所述方法包括下述步骤:An implementation method suitable for an electromagnetic transient multi-time scale real-time simulation interface, the method comprising the following steps:
    (1)根据电磁暂态多时间尺度,将仿真系统划分为多个通过解耦元件传输线连接的子网络,并确定所述子网络的时间尺度;(1) dividing the simulation system into a plurality of sub-networks connected by a decoupling component transmission line according to an electromagnetic transient multi-time scale, and determining a time scale of the sub-network;
    (2)通过戴维南等值电路将解耦元件分解为两个内阻固定的受控源,并入所述子网络中,进行网络矩阵初始化;(2) Decomposing the decoupling component into two controlled sources with fixed internal resistance through the Thevenin equivalent circuit, incorporating the sub-network, and performing network matrix initialization;
    (3)进行仿真计算,接收FPGA平台的数据;(3) performing simulation calculation and receiving data of the FPGA platform;
    (4)预处理FPGA平台的数据,获得中间变量,继续仿真计算。(4) Preprocess the data of the FPGA platform, obtain the intermediate variables, and continue the simulation calculation.
  2. 如权利要求1所述的电磁暂态多时间尺度实时仿真接口的实现方法,其特征在于,所述步骤(1)中,根据系统的动态时间常数确定所述子网络的时间尺度包括最小时间尺度和非最小时间尺度。The method for implementing an electromagnetic transient multi-time scale real-time simulation interface according to claim 1, wherein in the step (1), determining a time scale of the sub-network according to a dynamic time constant of the system comprises a minimum time scale And non-minimum time scales.
  3. 如权利要求2所述的电磁暂态多时间尺度实时仿真接口的实现方法,其特征在于,;所述最小时间尺度的网络在实时FPGA仿真平台上运行,非最小时间尺度的网络在实时服务器平台上运行。The implementation method of the electromagnetic transient multi-time scale real-time simulation interface according to claim 2, wherein: the minimum time scale network runs on a real-time FPGA simulation platform, and the non-minimum time scale network is on a real-time server platform. Run on.
  4. 如权利要求1所述的电磁暂态多时间尺度实时仿真接口的实现方法,其特征在于,所述步骤(2)中网络矩阵初始化包括:采用外插值法对电磁暂态仿真系统的初始电压和电流进行反推,估算当前时刻之前的系统电压和电流,并记录该时间与解耦元件相关的电压和电流;The method for implementing an electromagnetic transient multi-time scale real-time simulation interface according to claim 1, wherein the network matrix initialization in the step (2) comprises: using an external interpolation method to initialize the initial voltage of the electromagnetic transient simulation system. The current is reversed, estimating the system voltage and current before the current time, and recording the voltage and current associated with the decoupling component at that time;
    完成网络矩阵初始化后,将该网络矩阵存储至FPGA平台的内存中。After the network matrix is initialized, the network matrix is stored in the memory of the FPGA platform.
  5. 如权利要求1所述的电磁暂态多时间尺度实时仿真接口的实现方法,其特征在于,所述步骤(3)中,通过FPGA平台进行时序控制,同步启动所述FPGA平台与实时服务器平台,每隔一个非最小时间尺度向所述实时服务器平台传输在FPGA系统上运行的网络矩阵的数据。The method for implementing an electromagnetic transient multi-time scale real-time simulation interface according to claim 1, wherein in the step (3), the FPGA platform is used for timing control, and the FPGA platform and the real-time server platform are synchronously started. The data of the network matrix running on the FPGA system is transmitted to the real-time server platform every other non-minimum time scale.
  6. 如权利要求1所述的电磁暂态多时间尺度实时仿真接口的实现方法,其特征在于,所述步骤(4)中,当实时服务器平台接收到FPGA传输的数据后,与实时服务器平台上的历史接口数据进行比较,获得FPGA平台下一个非最小时间尺度的中间变量,并在一个非最小时间尺度内传送至FPGA平台。The method for implementing an electromagnetic transient multi-time scale real-time simulation interface according to claim 1, wherein in the step (4), when the real-time server platform receives the data transmitted by the FPGA, and the real-time server platform The historical interface data is compared to obtain an intermediate variable of the next non-minimum time scale of the FPGA platform and transmitted to the FPGA platform on a non-minimum time scale.
  7. 如权利要求6所述的电磁暂态多时间尺度实时仿真接口的实现方法,其特征在于,在一个非最小时间尺度内,如果FPGA接收到实时服务器平台的数据,则重复步骤(3);如未收到,则利用所述下一个非最小时间尺度的中间变量进行仿真计算。 The method for implementing an electromagnetic transient multi-time scale real-time simulation interface according to claim 6, wherein, in a non-minimum time scale, if the FPGA receives the data of the real-time server platform, repeating step (3); If not received, the simulation is performed using the intermediate variable of the next non-minimum time scale.
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Publication number Priority date Publication date Assignee Title
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US8397054B2 (en) * 2009-12-23 2013-03-12 L-3 Communications Integrated Systems L.P. Multi-phased computational reconfiguration
CN102184297B (en) * 2011-05-12 2012-11-14 天津大学 Electrical/control system decoupling prediction method suitable for transient parallel simulation of micro-nets
CN102592003B (en) * 2011-12-15 2013-11-13 天津大学 Data exchange method for electromechanical and electromagnetic transient hybrid simulation
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CN104573164B (en) * 2014-07-07 2017-10-31 贵州电力试验研究院 The Hardware Implementation that small step-length system equivalent historical current source information updates
CN104218600B (en) * 2014-09-22 2016-04-20 国家电网公司 The construction method of battery energy storage system model in a kind of Multiple Time Scales dynamic simulation
CN104361159A (en) * 2014-10-31 2015-02-18 国家电网公司 Time-space parallel simulation method for transient stability of large-scale power system
CN104376158B (en) * 2014-11-05 2017-05-10 天津大学 Transient simulation multi-time scale output method for matrix exponents

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