2022
DOI: 10.1016/j.ijepes.2021.107357
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Stochastic security-constrained optimal power flow for a microgrid considering tie-line switching

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Cited by 19 publications
(8 citation statements)
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“…Some of these methods include Bender's decomposition [39]- [44], genetic algorithms [45], branch-and-bound (B&B) [9], semi-definite programming [46], line ranking [47], interior point search algorithms [48], particle swarm optimization [24], [49], and cutting-plane methods [50], [51]. Stochastic optimization [52], [53], and robust optimization [54]- [57] are widely used approaches to address the uncertain variables in the OTS problem combined with RES.…”
Section: Figure 1 Applications Of Transmission Switching In Literaturementioning
confidence: 99%
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“…Some of these methods include Bender's decomposition [39]- [44], genetic algorithms [45], branch-and-bound (B&B) [9], semi-definite programming [46], line ranking [47], interior point search algorithms [48], particle swarm optimization [24], [49], and cutting-plane methods [50], [51]. Stochastic optimization [52], [53], and robust optimization [54]- [57] are widely used approaches to address the uncertain variables in the OTS problem combined with RES.…”
Section: Figure 1 Applications Of Transmission Switching In Literaturementioning
confidence: 99%
“…This model is based on DCOPF, however, AC-OPF formulation is also possible with the expense of computational complexity. The objective function and constraints of the bilevel model are presented in equations ( 49)- (53).…”
Section: G Bilevel Model For Otsmentioning
confidence: 99%
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“…To this end and to simplify the equations, the paper utilized a linear power flow model along with the adoption of a backward–forward sweep algorithm. More details about operating cost minimization and optimization of microturbines and load shedding can be found in [8], where the Benders decomposition method was also used to reformulate the problem. Ref.…”
Section: Introductionmentioning
confidence: 99%