@conference{RSE_PowerTech2021,
Author = {Batoul Hage Hassan, Anand Narayan, Davood Babazadeh, Marcel Klaes, Sebastian Lehnhoff},
Title = {Performance Assessment of State Estimation in Cyber-Physical Energy Systems},

Year = {2021},
Booktitle = {PowerTech 2021},
Organization = {IEEE},
type = {conference},
Abstract = {In addition to various advantages, the strong in-
teraction between power systems and Information and Com-
munication Technologies (ICT) makes Cyber-Physical Energy
Systems susceptible to new disturbances. State estimation (SE) is
a vital part of the energy management system, for several other
monitoring, management, and control services. Failure of state
estimation leads to loss of situational awareness, which in turn
has a detrimental impact on the grid operation. Therefore, it is
essential to monitor the performance of state estimation consid-
ering various disturbances. This paper presents a model to assess
the performance of the SE service by taking into consideration
its requirements from both power and ICT domains. Following a
review of existing approaches for performance assessment of the
SE service in Smart Grids, a detailed description of the proposed
model including its elements, metrics, and states is provided. The
model is then evaluated using different scenarios considering the
CIGRE MV benchmark grid.}
}
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