@article {18455,
	title = {A Framework for Disturbance Analysis in Smart Grids by Fault Injection},
	journal = {Springer Journal on "Computer Science - Research and Development"},
	year = {2016},
	month = {09/2016},
	abstract = {With growing complexity of electric power systems, a total number of disturbances is expected to increase. Analyzing these disturbances and understanding grid{\textquoteright}s behavior, when under a disturbance, is a pre-requisite for designing methods for boosting grid{\textquoteright}s stability. The main obstacle to the analysis is a lack of relevant data that are publicly available. In this paper, we design and implement a framework for emulation of grid disturbances by employing simula-tion and fault-injection techniques. We also present a case study on generating voltage sag related data. A foreseen usage of the framework considers mainly prototyping, root-cause analysis and design and comparison of methods for disturbance detection and prediction. },
	issn = {1865-2042},
	doi = {10.1007/s00450-016-0313-8},
	url = {http://dx.doi.org/10.1007/s00450-016-0313-8},
	author = {Kaitovi{\'c}, Igor and Obradovi{\'c}, Filip and Lukovi{\'c}, Slobodan and Malek, Miroslaw}
}
