2009
DOI: 10.1016/j.ijepes.2008.10.010
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Power system with multi-type FACTS devices states estimation based on predictor–corrector interior point algorithm

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Cited by 41 publications
(24 citation statements)
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“…Genetic Algorithm (GA) optimization technique is employed for the simultaneous tuning of a power system stabilizer (PSS) and a SVC based controller in [12]. A state estimation problem of power systems incorporating various FACTS devices is addressed in [13]. A novel hybrid method for simulation of power systems equipped with SVC is suggested in [14].…”
Section: Introductionmentioning
confidence: 99%
“…Genetic Algorithm (GA) optimization technique is employed for the simultaneous tuning of a power system stabilizer (PSS) and a SVC based controller in [12]. A state estimation problem of power systems incorporating various FACTS devices is addressed in [13]. A novel hybrid method for simulation of power systems equipped with SVC is suggested in [14].…”
Section: Introductionmentioning
confidence: 99%
“…The expanded representations of the above equations are stated in (15) and (16). The independent variables of (1) and (2) are expressed in vectors ðQ g Þ ðn b À1ÞÂ1 ; ðU 2 Þ ðn b À1ÞÂ1 ; ðPÞ n l Â1 , and ðQ Þ n l Â1 .…”
Section: Nomenclaturementioning
confidence: 99%
“…A set of comprehensive sensitivity analyses are fulfilled to validate the performance of the LFB-SE model in a variety of conditions covering: different measurement errors, various measurement redundancy levels, and diverse operating point of the system. Linearity of the proposed formulation lessens the computational complexity of the SE problem and could be attractive in SE of power systems incorporating FACTS devices [15,16], bad data identification [17], and other SE related issues [18].…”
Section: Introductionmentioning
confidence: 99%
“…Its computation is done by using the following rules: where σ ∈ (0,1] is a constant to prevent the estimation from approaching too close to the feasibility boundary. In this work, σ = 0.99995 (22,23). The barrier parameter μ must be appropriately adjusted and it should be close to zero as x approaches the solution.…”
Section: Wlav State Estimation Of Power Systemmentioning
confidence: 99%