Adaptive Nonlinear Model Reduction for Fast Power System Simulation
Adaptive Nonlinear Model Reduction for Fast Power System Simulation
复制标题
用于快速电力系统仿真的自适应非线性模型简化
DOI：
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复制
发表时间：
2017
影响因子：
6.6
通讯作者：
K. Sun
中科院分区：
文献类型：
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作者：
D. Osipov;K. Sun
提出了一种新的电力系统模型自适应降阶方法，以实现快速、准确的时域仿真。这种新的方法是一种折衷的方法，它是为了更快的模拟而进行的线性模型简化和为了更高精度而进行的非线性模型简化。在仿真过程中，该方法根据系统状态的变化自适应地在详细的、线性的或非线性的降阶模型之间进行切换：对于故障周期采用未降阶模型，对于状态的大变化采用导纳矩阵的加权列范数来确定电力系统微分-代数方程中哪些函数需要线性化，对于状态的小变化采用线性降阶模型。介绍了两种不同版本的自适应模型降阶方法。第一个版本采用传统的电力系统分区，模型降阶应用于电力系统中定义的大范围外部区域，而另一个定义为研究区域的区域保留了完整的详细模型。第二个版本将自适应模型降阶应用于整个系统。在东北电力协调委员会140节点48机系统上，将所提出的自适应简化模型与线性简化模型和基于一致性简化模型的仿真结果进行了全面的案例分析比较。
The paper proposes a new adaptive approach to power system model reduction for fast and accurate time-domain simulation. This new approach is a compromise between linear model reduction for faster simulation and nonlinear model reduction for better accuracy. During the simulation period, the approach adaptively switches among detailed and linearly or nonlinearly reduced models based on variations of the system state: it employs unreduced models for the fault-on period, uses weighted column norms of the admittance matrix to decide which functions to be linearized in power system differential-algebraic equations for large changes of the state, and adopts a linearly reduced model for small changes of the state. Two versions of the adaptive model reduction approach are introduced. The first version uses traditional power system partitioning where the model reduction is applied to a defined large external area in a power system and the other area defined as the study area keeps full detailed models. The second version applies the adaptive model reduction to the whole system. The paper also conducts comprehensive case studies comparing simulation results using the proposed adaptively reduced models with the linearly reduced model and coherency-based reduced model on the Northeast Power Coordinating Council 140-bus 48-machine system.