2006
DOI: 10.1109/tii.2006.877266
|View full text |Cite
|
Sign up to set email alerts
|

Pervasive Grid for Large-Scale Power Systems Contingency Analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
21
0

Year Published

2011
2011
2021
2021

Publication Types

Select...
5
3

Relationship

1
7

Authors

Journals

citations
Cited by 52 publications
(21 citation statements)
references
References 17 publications
0
21
0
Order By: Relevance
“…The Computational Service is deployed by a highly scalable computational grid [13] and it is based on the following interactive web services:…”
Section: Smart Grid Processing Enginementioning
confidence: 99%
See 1 more Smart Citation
“…The Computational Service is deployed by a highly scalable computational grid [13] and it is based on the following interactive web services:…”
Section: Smart Grid Processing Enginementioning
confidence: 99%
“…The on-line assessment of the static and dynamic security analysis is performed according to the main functional steps, and the logical information flows described by the UML activity diagram proposed in [13]. Initially, the SecurityAnalysisWS acquire the current power system state computed by the StateEstimationWS, the renewable power generation forecasted by the ForecastingWS, and the actual thermal ratings of the main power components computed by the eAssessmentWS.…”
Section: Securityanalysiswsmentioning
confidence: 99%
“…For fast CA, Santos et al [9] developed a socket based client-server model where dynamic load balancing scheme is implemented for improved performance. Morante et al [10] developed a pervasive grid middleware which uses a broker system for reserving on-demand computational resources and for automatically splitting the contingency analysis task into sub-tasks and to allocate them to reserved resources based on a master-slave computing model. However, these and other methods focussed solely on (N − 1) analysis with a small set of cases.…”
Section: Previous Workmentioning
confidence: 99%
“…Moreover, its increasing complexity, the huge number of geographically spread generators, and the side effects caused by the variable nature and high penetration of renewable energy systems (RES) make it very vulnerable, thus requiring sophisticated security mechanisms [28].…”
Section: Introductionmentioning
confidence: 99%