2013
DOI: 10.1049/iet-gtd.2013.0072
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Contingency filtering technique for transient stability constrained optimal power flow

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Cited by 10 publications
(5 citation statements)
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References 34 publications
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“…Bettiol et al [27] use a filtering SIME scheme to obtain the set of credible contingencies. Jiang et al [64, 65] have proposed preliminary approaches to filter contingencies and identify the active set, with and without transient stability constraints. Geng et al [22] have investigated different types of faults, as well as clearing times, while solving the TSC‐OPF problem.…”
Section: Implementation Issues For Dynamic Optimisation Methodsmentioning
confidence: 99%
“…Bettiol et al [27] use a filtering SIME scheme to obtain the set of credible contingencies. Jiang et al [64, 65] have proposed preliminary approaches to filter contingencies and identify the active set, with and without transient stability constraints. Geng et al [22] have investigated different types of faults, as well as clearing times, while solving the TSC‐OPF problem.…”
Section: Implementation Issues For Dynamic Optimisation Methodsmentioning
confidence: 99%
“…Also, an automation of the DG system is performed using a matlab software considering the load, and the availability of the system's generating units. Also, the optimal power dispatch is presented [11][12]. Distributed generation is characterized by some features, which have not been present in traditional centralized systems:  rather free location in the network area;  relatively small generated power and variation of generated power dependent on the availability and variability of primary energy [13][14].…”
Section: Introductionmentioning
confidence: 99%
“…As another approach, a lot of research effort has been put into reducing the computational complexity of simultaneous solution of TSCOPF (i.e. transient stability constraints are evaluated in conjunction with the OPF model), such as single machine equivalence [21, 22], coherent machine clustering [23], k ‐mean clustering [24], equivalent transformation [25], novel discretisation formation for DAEs [26], and contingency filtering [27]. Parallel computation of the TSCOPF model in a symmetrical multiprocessing platform by coarse‐gained parallelism was also proposed in [28] by taking advantage of the loose coupling between OPF and DAE evaluation.…”
Section: Introductionmentioning
confidence: 99%