电力系统任务性能分析的线性隐式量化状态系统评价方法

IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY
N. Gholizadeh, Joseph M. Hood, R. Dougal
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引用次数: 5

摘要

线性隐式量化状态系统(LIQSS)方法在海军动力系统长时间任务剖面建模和仿真中的适用性进行了评估,这些任务剖面通常具有刚性、非线性、微分代数方程的特征。参考机电系统由一台电机组成,该电机连接到轴端上的扭矩源,并在其电气端子上连接到电网。该系统是高度非线性的,速率常数变化很大;在一个典型的稳态工作点,电气和机电时间常数分别相差3个数量级,分别为3.2 ms和2.7 s。仿真的两个重要特性——精度和计算强度——都取决于系统状态变量的量化大小。当量化大小约为变量最大值的1%时,LIQSS1方法的结果与众所周知的连续系统状态空间方法计算的结果相差不到1%。LIQSS1方法的计算效率随着量化大小的增加呈对数增长,在达到某一特定量化大小之前,精度没有明显损失,超过该特定量化大小后,误差迅速增加。对于正在研究的特定系统,在特定的量子尺寸上发现了一个“最佳点”,可以产生高计算效率和良好的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Linear Implicit Quantized State System method for analyzing mission performance of power systems
The Linear Implicit Quantized State System (LIQSS) method has been evaluated for suitability in modeling and simulation of long duration mission profiles of Naval power systems which are typically characterized by stiff, non-linear, differential algebraic equations. A reference electromechanical system consists of an electric machine connected to a torque source on the shaft end and to an electric grid at its electrical terminals. The system is highly non-linear and has widely varying rate constants; at a typical steady state operating point, the electrical and electromechanical time constants differ by three orders of magnitude—being 3.2 ms and 2.7 s respectively. Two important characteristics of the simulation—accuracy and computational intensity—both depend on quantization size of the system state variables. At a quantization size of about 1% of a variable’s maximum value, results from the LIQSS1 method differed by less than 1% from results computed by well-known continuous-system state-space methods. The computational efficiency of the LIQSS1 method increased logarithmically with increasing quantization size, without significant loss of accuracy, up to some particular quantization size, beyond which the error increased rapidly. For the particular system under study, a “sweet spot” was found at a particular quantum size that yielded both high computational efficiency and good accuracy.
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来源期刊
CiteScore
2.80
自引率
12.50%
发文量
40
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