2015 IEEE Power &Amp; Energy Society General Meeting 2015
DOI: 10.1109/pesgm.2015.7286314
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Combined and optimized redispatch management of multiple congestions and voltage deviations with active and reactive power based on AC-PTDFs with distributed slack

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Cited by 11 publications
(4 citation statements)
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“…This approach achieves a fast solution by solving a linearized model of the power system under consideration of linear constraints. By approximating non-linear equations with a linear approach, inaccuracies result, which need to be taken into account, especially for a small apparent power flow within the system [38]. Considering these inaccuracies of linear constrained approaches the optimization problem is formulated as quadratically constrained linear program (see [38,39]).…”
Section: Formulation Of For Determination As Sequential Linear Constrained Quadratic Programmingmentioning
confidence: 99%
See 1 more Smart Citation
“…This approach achieves a fast solution by solving a linearized model of the power system under consideration of linear constraints. By approximating non-linear equations with a linear approach, inaccuracies result, which need to be taken into account, especially for a small apparent power flow within the system [38]. Considering these inaccuracies of linear constrained approaches the optimization problem is formulated as quadratically constrained linear program (see [38,39]).…”
Section: Formulation Of For Determination As Sequential Linear Constrained Quadratic Programmingmentioning
confidence: 99%
“…Additional equality constraints are included for a set-point-based sampling strategy. Therefore, Equation (37) or Equation (38) are added for sampling methods c and d and neglected for an angle-based sampling, method a and b (see Sections 3.1 and 3.2). The index 0 represents initial values.…”
Section: Linear Objective Function With Quadratic Constraintsmentioning
confidence: 99%
“…Therefore, this paper presents the comparison of two, independently developed optimization methods (see section 3) for the solution of the SCOPF problem described in section 2. The first approach is a solution by a sequentially solved convexificated Quadratically Constrained Quadratic Program (SQCQP) based on [5][6][7][8], which is presented in section 3.1. The second approach solves a mixed integer, non-linear optimization problem using a modified particle swarm optimization (PSO) e.g.…”
Section: Motivationmentioning
confidence: 99%
“…The first approach applies a sequentially solved novel convexificated Quadratically Constrained Quadratic Program (SQCQP) based on [5][6][7][8] that is further developed in this paper to consider in-phase and quadrature voltage controlled transformers. For the convexification, the equations of the SCOPF need to be reformulated as real-valued system of equations with equal number of equations and variables and a maximal polynomial degree of two.…”
Section: Sqcqp Approachmentioning
confidence: 99%