On May 20th 2013 we attended the first IEEE Workshop on Modeling and Simulation of Cyber-Physical Energy Systems. The workshop was collocated with the fourth International Conference on Future Energy Systems (ACM e-Energy), to be held in Berkeley on May 22th, 23th and 24rd.
The
topics presented were very variegated. In the first session the papers
were mostly concerning simulations of building or system-scale aspects
in the grid (distribution, market, power flow modeling). The opening
presentation was given by Kyle Anderson from Stanford University,
presenting the GridSpice simulator, a cloud-based simulation tool which
relies on multiple agents to run different existing simulation tools
(MATPOWER and GridLab-D) and mantain the overall simulation consistence
with a central coordinator. It also provides a RESTful interface to
access the simulation, so that it can be integrated in third-part
applications.
In the second session more applied and variegated aspects were presented.
We opened this session with the paper "Integrating Households into the Smart Grid". It deals with the problem of device and data
interoperability created by the highly heterogeneous ecosystem of
digital devices present in homes. In the paper we discuss requirements
that should be addressed when copying with such a complex network. We
show that an architecture based on REST webservices and linked data
streams would be able to tackle this complexity. Applications can access
the data through a uniform interface consisting in specific APIs and
standardized query languages, as well as agreed ontologies for the
specific use case.
The
following presentation surveyed existing ontologies for smart home and
smart energy systems and was held by Marco Grassi from Università
Politecnica delle Marche. This completed the device and data
interoperability issues and gave the audience a complete overview of
this side of the smart grid.
The following presentations dealt
with security aspects of the grid, such as detecting spoofing attacks on
power grid GPS sensors. Also, multi-agent algorithms and control
schemes were proposed for various aspects involving cyber-physical
energy systems (i.e., resource bargaining, model-predictive control,
coordination of power flow controllers).
References:
- A. Monacchi, D. Egarter, W. Elmenreich. Integrating Households into the Smart Grid. Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Berkeley, CA, May 2013.
