  Simulation of smart grid technologies requires a fundamentally new approach
to integrated modeling of power systems, energy markets, building technologies
and the plethora of other resources and assets that are becoming part of modern
electricity production, delivery and consumption systems. As a result, the US
Department of Energy's Office of Electricity commissioned the development of a
new type of power system simulation tool called GridLAB-D(TM) that uses an
agent-based approach to simulating smart grids. This paper presents the
numerical methods and approach to time-series simulation used by GridLAB-D and
reviews applications in power system studies, market design, building control
system design, and integration of wind power in a smart grid.
