Power System Sensitivity Matrix Estimation by Multivariable Least Squares Considering Mitigating Data Saturation

To online estimate the power system sensitivity matrix considering mitigating data saturation, a series of multivariable least-squares (MLS) algorithms are proposed and compared, including the ordinary MLS (OMLS), the weighted MLS (WMLS), the memory-limited OMLS (ML-ORMLS), the memory-limited WRMLS...

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Vydané v:	IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society s. 1676 - 1683
Hlavní autori:	Liang, Yingqi, Zhang, Junbo, Srinivasan, Dipti
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 18.10.2020
Predmet:	data saturation multivariable regression power system sensitivity matrix estimation recursive least squares
ISSN:	2577-1647
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