Full metadata
Title
Designing a Software Platform for Evaluating Cyber-Attacks on The Electric PowerGrid
Description
Energy management system (EMS) is at the heart of the operation and control of a modern electrical grid. Because of economic, safety, and security reasons, access to industrial grade EMS and real-world power system data is extremely limited. Therefore, the ability to simulate an EMS is invaluable in researching the EMS in normal and anomalous operating conditions.
I first lay the groundwork for a basic EMS loop simulation in modern power grids and review a class of cybersecurity threats called false data injection (FDI) attacks. Then I propose a software architecture as the basis of software simulation of the EMS loop and explain an actual software platform built using the proposed architecture. I also explain in detail the power analysis libraries used for building the platform with examples and illustrations from the implemented application. Finally, I will use the platform to simulate FDI attacks on two synthetic power system test cases and analyze and visualize the consequences using the capabilities built into the platform.
I first lay the groundwork for a basic EMS loop simulation in modern power grids and review a class of cybersecurity threats called false data injection (FDI) attacks. Then I propose a software architecture as the basis of software simulation of the EMS loop and explain an actual software platform built using the proposed architecture. I also explain in detail the power analysis libraries used for building the platform with examples and illustrations from the implemented application. Finally, I will use the platform to simulate FDI attacks on two synthetic power system test cases and analyze and visualize the consequences using the capabilities built into the platform.
Date Created
2019
Contributors
- Khodadadeh, Roozbeh (Author)
- Sankar, Lalitha (Thesis advisor)
- Xue, Guoliang (Thesis advisor)
- Kosut, Oliver (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
66 pages
Language
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.53801
Level of coding
minimal
Note
Masters Thesis Computer Science 2019
System Created
- 2019-05-15 12:32:29
System Modified
- 2021-08-26 09:47:01
- 2 years 8 months ago
Additional Formats