A framework for disturbance analysis in smart grids by fault injection: Generating smart grid disturbance-related data

被引：2

作者：

Kaitovic I. ^{[1
]}

Obradovic F. ^{[1
]}

Lukovic S. ^{[1
]}

Malek M. ^{[1
]}

机构：

[1] ALaRI, Faculty of Informatics, Università della Svizzera italiana, Via Giuseppe Buffi 13, Lugano

来源：

Computer Science - Research and Development | 2017年 / 32卷 / 1-2期

关键词：

Dependability; Fault injection; Prediction; Simulation; Smart grid; Stability;

D O I：

10.1007/s00450-016-0313-8

中图分类号：

学科分类号：

摘要：

With growing complexity of electric power systems, a total number of disturbances is expected to increase. Analyzing these disturbances and understanding grid’s behavior, when under a disturbance, is a prerequisite for designing methods for boosting grid’s stability. The main obstacle to the analysis is a lack of relevant data that are publicly available. In this paper, we present a design and implementation of a framework for emulation of grid disturbances by employing simulation 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 as well as design and comparison of methods for disturbance detection and prediction. © 2016, Springer-Verlag Berlin Heidelberg.

引用

页码：93 / 103

页数：10

共 20 条

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