Mission:The Power, Energy, and Intelligent
Systems (PEIS) Research Laboratory at the University of West Florida
is led by Dr. Sukumar Kamalasadan.
The mission of the PEIS laboratory is to study intelligent system
applications to electrical power and energy systems, including
areas related to intelligent power systems control, advance intelligent
control and optimization methods, hybrid control and optimization
architecture, modeling and simulation of power and energy systems
and renewable and alternative energy systems modeling and real-time
implementations.
Overview:
The
goal of the research work conducted in this research laboratory
is to develop new intelligent adaptive control and optimization
architecture(s) with scalable algorithms for complex systems control
and optimization such as power and energy systems. The focus is
to design and develop next generation control and optimization
paradigm that could be used as an intelligent hybrid framework
which is adaptable to dynamic environment termed as system-centric
controllers. The research work could provide a potential breakthrough
in developing system-centric control and optimization architectures
for seamless integration of renewable and non-renewable energy
sources; economic and viable continuous power dispatch; sustainable
and transportable next generation energy systems; and security
against power disruptions caused by inadvertent events or malicious
intent.
Scalable intelligent algorithms
for complex system control and optimization.
System Modeling and Design
of Digital Power Supplies.
Micro-grid power module
using hybrid renewable energy fuels.
Scalable Intelligent Adaptive
Controllers for Distributed Power System Control.
Team:The PEIS Research Laboratory
provides an excellent environment for students and faculty members
to carry out intelligent systems, power and energy research. Currently
two graduate student and three undergraduate students conduct
their research using the PEIS Laboratory.
In general, the research conducted in this lab interconnects novel adaptive
and intelligent systems approaches for power and energy systems
control and optimization as illustrated by the figure below.
