“…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
“…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
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