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Sensitivity, approximation, and uncertainty in power system dynamic simulation

delete2006-11-01
delete177
PRE
AI
I
Ian A. Hiskens *
J
J. Alseddiqui
DOI:10.1109/TPWRS.2006.882460delete
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摘要

摘要

En 中文
Parameters of power system models, in particular load models, are seldom known exactly, yet dynamic security assessment relies upon simulation of those uncertain models. This paper proposes a computationally feasible approach to assessing the influence of uncertainty in simulations of power system dynamic behavior. It is shown that trajectory sensitivities can be used to generate accurate first-order approximations of trajectories that arise from perturbed parameter sets. The computational cost of obtaining the sensitivities and perturbed trajectories is minimal. The mathematical structure of the trajectory approximations allows the effects of uncertainty to be quantified and visualized using worst-case analysis and probabilistic approaches.
Keyword:
load modeling
parameter uncertainty
power system dynamic performance assessment
power system simulation
trajectory sensitivity
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期刊

IEEE Transactions on Power Systems 封面图
IEEE Transactions on Power Systems
IF:
7.2
论文数:
1.1W
被引数:
5.0W

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