2017
DOI: 10.1016/j.epsr.2017.01.011
|View full text |Cite
|
Sign up to set email alerts
|

Multi-period stochastic security-constrained OPF considering the uncertainty sources of wind power, load demand and equipment unavailability

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
19
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
5
3

Relationship

2
6

Authors

Journals

citations
Cited by 59 publications
(19 citation statements)
references
References 12 publications
0
19
0
Order By: Relevance
“…Various scenario approaches, 31 stochastic programming techniques, 32,33 and robust optimization methods 34 are available for OPF uncertainty modeling in the literature, which can be merged with the proposed ST-AC-OPF tool to model the uncertainty sources. For the sake of simplicity and better illustrating the underlying ideas of the proposed ST-AC-OPF model, the uncertainty sources (eg, the uncertainty of renewable Distributed Generation (DG) connected to STN) as well as contingencies are neglected in this research work.…”
Section: Assumptionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Various scenario approaches, 31 stochastic programming techniques, 32,33 and robust optimization methods 34 are available for OPF uncertainty modeling in the literature, which can be merged with the proposed ST-AC-OPF tool to model the uncertainty sources. For the sake of simplicity and better illustrating the underlying ideas of the proposed ST-AC-OPF model, the uncertainty sources (eg, the uncertainty of renewable Distributed Generation (DG) connected to STN) as well as contingencies are neglected in this research work.…”
Section: Assumptionsmentioning
confidence: 99%
“…For the sake of simplicity and better illustrating the underlying ideas of the proposed ST-AC-OPF model, the uncertainty sources (eg, the uncertainty of renewable Distributed Generation (DG) connected to STN) as well as contingencies are neglected in this research work. Various scenario approaches, 31 stochastic programming techniques, 32,33 and robust optimization methods 34 are available for OPF uncertainty modeling in the literature, which can be merged with the proposed ST-AC-OPF tool to model the uncertainty sources. In addition, contingencies can be included in the proposed ST-AC-OPF by considering contingency constraints.…”
Section: Assumptionsmentioning
confidence: 99%
“…A weighting method is applied to systematically combine multiple predictive models in [20], which can reduce the prediction bias. References [21][22][23][24] deal with wind power uncertainty through scenario generation and reduction methods. The solution to the uncertainty of renewable energy output are relatively simple and quite limited.…”
Section: Introductionmentioning
confidence: 99%
“…To better illustrate the new contributions of this research work, the uncertain parameters (e.g., load forecast uncertainty) are not considered in the proposed AC OPF model. However, they can be modeled in the proposed sub-transmission AC OPF approach using, e.g., scenario approach [18], stochastic programming [19], or robust optimization techniques [20,21].…”
Section: Introductionmentioning
confidence: 99%