variation
LCNC models are used for localized control which can be
based on local and/or wide area measurements. For example,
power system stabilizer controls are implemented via local
measurement and feedback at the generators. Smart grid
components requiring wide area measurement or transfer of
information between components embedded in the network
are modeled as intelligent agents. An intelligent agent is an
autonomous, goal-oriented entity that can interact with its
environment [13]. This is modeled here as an algorithm
dictating the behavior of the agent with local and wide area
measurement as inputs while local control actions and
communication with other agents as outputs. Latency of local
control actions and measurements for LCNC is assumed to be
zero. Latency and transmission of information to and from
LCNC is represented by the communication network model.
The following section discusses initial efforts toward
constructing and simulating the proposed smart grid model.