abstract: 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. / Dissertation/Thesis / Masters Thesis Computer Science 2019
| Identifer | oai:union.ndltd.org:asu.edu/item:53801 |
| Date | January 2019 |
| Contributors | Khodadadeh, Roozbeh (Author), Sankar, Lalitha (Advisor), Xue, Guoliang (Advisor), Kosut, Oliver (Committee member), Arizona State University (Publisher) |
| Source Sets | Arizona State University |
| Language | English |
| Detected Language | English |
| Type | Masters Thesis |
| Format | 66 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/ |
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