Analysis of Power System Mode Meters Under Various Oscillatory Conditions

Analysis of Power System Mode Meters Under Various Oscillatory Conditions
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各种振荡条件下电力系统模式表的分析

DOI:
10.1109/pmaps.2018.8440312
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发表时间:
2018
期刊:
2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
影响因子:
--
通讯作者:
D. Trudnowski
D. Trudnowski
中科院分区:
--
文献类型:
--
作者:
L. Dosiek;U. Agrawal;J. Follum;J. Pierre;D. Trudnowski

文献摘要

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本文记录了非正弦振荡条件下的最小二乘自回归移动平均加正弦(LS-ARMA + S)模式仪表的性能。LS-ARMA + S模式计最初是为了消除LS-ARMA模式计在受迫振荡情况下所经历的偏差而开发的,在环境和受迫振荡条件下,LS-ARMA + S模式计都被证明是一种有前途的升级。为了进一步验证其实际应用,在两种更常见的系统事件下分析了LS-ARMA + S模式仪表:振铃型瞬态响应和水轮机涡轮机粗糙区振荡。通过大量的Monte Carlo模拟表明,LS-ARMA模式计被这些类型的系统事件中的每一个偏置,并且LS-ARMA + S模式计可以检测和补偿它们,从而减少甚至消除偏置。这些结果进一步表明,LS-ARMA + S模式仪表扩展的LS-ARMA模式仪表超出环境条件,包括常见的观察到的振荡事件。
This paper documents the performance of the Least Squares Autoregressive Moving Average plus Sinusoids (LS-ARMA+S) mode meter under non-sinusoidal oscillatory conditions. Originally developed as a way to eliminate the bias experienced by LS-ARMA mode meters in the presence of forced oscillations, the LS-ARMA+S mode meter was shown to be a promising upgrade under both ambient and forced oscillation conditions. In order to further validate it for real-world application, the LS-ARMA+S mode meter has been analyzed under two of the more common system events; ringdown-type transient responses, and hydro turbine rough zone oscillations. It is shown through extensive Monte Carlo simulations that the LS-ARMA mode meter is biased by each of these types of system events, and that the LS-ARMA+S mode meter can detect and compensate for them, thus reducing or even eliminating the bias. These results further suggest that the LS-ARMA+S mode meter extends the LS-ARMA mode meter beyond ambient conditions to include commonly observed oscillatory events.