Smart Grid Seminar

Future smart grids will likely support bi-directional flow of
electricity and include power production from multiple, disparate, and
uncontrollable sources due to a high penetration of distributed renewable
energy resources. Some of the more challenging problems for the future
grid include maximizing the use and efficiency of renewable resources, and
realizing optimal demand and power production responses that can
complement renewable intermittency. Integration of renewables together
with energy storage systems has been motivated by the increasing attention
to feature renewable energies from not only solar and wind power but also
the excess generation from many customers. Effective use of renewable
resources using battery systems can be realized by balanced distribution
of such distributed energy resources (DERs) with complementary demand and
dispatchable generation responses. The spatial distribution,
intermittency, and uncontrollability of most renewable resources, however,
make stable and reliable electricity transmission and distribution
difficult especially with high renewable market penetration in large-scale
complex power networks.

In order to use energy storage systems effectively to optimize DERs as
well as realize a reliable and sustainable future grid with many real-time
end-use devices that anticipate demands automatically, we present an
autonomous distributed control model that can realize optimum power flow
control together with demand and power response, which especially
integrates Kirchhoff's core theory and autonomous agent systems.