2018
DOI: 10.1049/iet-gtd.2017.1128
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Robust optimisation‐based state estimation considering parameter errors for systems observed by phasor measurement units

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Cited by 4 publications
(2 citation statements)
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“…To handle the aforementioned problems, a relaxation model of L p quasi norm SE problem is proposed. By introducing a relaxation factor τ > 0, (7) can be rewritten as: (10) where…”
Section: B Relaxation Model Of L P Quasi Norm Se Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…To handle the aforementioned problems, a relaxation model of L p quasi norm SE problem is proposed. By introducing a relaxation factor τ > 0, (7) can be rewritten as: (10) where…”
Section: B Relaxation Model Of L P Quasi Norm Se Problemmentioning
confidence: 99%
“…For L p quasi norm state estimator, owing to the self-adaptive weighting in (10), the bad leveraged data are downweighed sufficiently when p = 0.1 (the robust mechanism is discussed in detail in Section III-A). Hence, the L 0.1 estimator obtains unbiased results, and the maximum estimation errors of P 1-2 and Q 1-2 do not exceed 0.318% of the true value.…”
Section: A 3-bus DC System With Bad Leveraged Datamentioning
confidence: 99%