2008
DOI: 10.1109/tpwrs.2008.926708
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Accurate Prediction of Damping in Large Interconnected Power Systems With the Aid of Regression Analysis

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Cited by 31 publications
(6 citation statements)
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“…Assume that m + 1 different data pairs (including the original data pair) are obtained. The following equation can be formulated by repeating the calculation in (5) m times ][1em4ptnormalΔλifalse(1false)normalΔλifalse(2false)normalΔλifalse(mfalse)=][1em4ptnormalΔpfalse(1false)normalΔpfalse(2false)normalΔpfalse(mfalse)normal∂λinormal∂bold-italicp+ε(1)ε(2)ε(m) It can also be rewritten in matrix form normalΔλi=normalΔbold-italicPnormal∂λinormal∂bold-italicp+ε As long as the number of independent rows in Δ P is larger than the number of parameters in p , the sensitivity vector ∂ λ i /∂ p can be easily estimated with linear regression methods [8, 9] normal∂λ^inormal∂bold-italicp=(Δbold-italicPnormalTΔP)1pt1Δbold-italicPnormalTΔbold-italicλi=Δbold-italicP+Δbold-italicλi ...…”
Section: Online Modal Sensitivity Identificationmentioning
confidence: 99%
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“…Assume that m + 1 different data pairs (including the original data pair) are obtained. The following equation can be formulated by repeating the calculation in (5) m times ][1em4ptnormalΔλifalse(1false)normalΔλifalse(2false)normalΔλifalse(mfalse)=][1em4ptnormalΔpfalse(1false)normalΔpfalse(2false)normalΔpfalse(mfalse)normal∂λinormal∂bold-italicp+ε(1)ε(2)ε(m) It can also be rewritten in matrix form normalΔλi=normalΔbold-italicPnormal∂λinormal∂bold-italicp+ε As long as the number of independent rows in Δ P is larger than the number of parameters in p , the sensitivity vector ∂ λ i /∂ p can be easily estimated with linear regression methods [8, 9] normal∂λ^inormal∂bold-italicp=(Δbold-italicPnormalTΔP)1pt1Δbold-italicPnormalTΔbold-italicλi=Δbold-italicP+Δbold-italicλi ...…”
Section: Online Modal Sensitivity Identificationmentioning
confidence: 99%
“…The underlying assumption of the sensitivity analysis is that the variations of both sides in (5) are small enough; otherwise, the non‐linear characteristics of the system are excited. However, when the sensitivity vector is estimated using (8) in [8, 9], this assumption cannot be guaranteed. Fig.…”
Section: Online Modal Sensitivity Identificationmentioning
confidence: 99%
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