Walter Scott, Jr. College of Engineering

Graduate Exam Abstract

Rahul Kadavil
M.S. Final
Sep 27, 2016, 12:00 pm - 1:30 pm
ECE Conference Room C101B
An Open Source Interface for Distribution System Modeling In Power System Co-simulation Applications And Two Algorithms For Populating Feeder Models
Abstract: Simulation studies serve as an
economically viable alternative to
avoid expensive failures. They also
serve as an invaluable platform to
study energy consumption behaviour,
demand response, power system
stability, and power system state
estimation. Traditionally, power
system analysis has been performed
in isolated domains using simulation
tools for the transmission and
distribution systems. Moreover,
modelling all the power system assets
using a single power system tool is
difficult and inconclusive. From the
Smart Grid perspective, a common
simulation platform for different power
systems analysis tools is essential. A
co-simulation framework enables the
interaction of multiple power system
tools, each modelling a single domain
in great detail, to run simultaneously
and provide a holistic power system
overview. To enable the co-simulation
framework, a data exchange platform
between the transmission and
distribution system simulators is
proposed to model transmission and
distribution assets on different
simulation testbeds. A graphical user
interface (GUI) is developed as a front
end tool for the data exchange
platform and makes use of two
developed algorithms that simplifies
the task of —modelling distribution
assets consisting of diverse feeder
datasets for the distribution simulator
and balanced three-phase level
assets for the transmission system
simulator, and populating the
distribution system with loads having
stochastic profiles for time-step
simulations. The algorithms can
simulate large scale distribution
system assets linked to a
transmission system for co-simulation
applications. The proposed algorithms
are tested on the standard IEEE test
system - The Roy Billinton Test
System (RBTS) to model detailed
distribution assets linked to a selected
transmission node. Two open source
power system simulators ---
MATPOWER and GridLAB-D are used
for the transmission and distribution
simulation process. Extending the
application of the proposed algorithms
on a High Performance Computing
(HPC) environment are presented for
future work.
Adviser: Siddharth Suryanarayanan
Co-Adviser: -NA-
Non-ECE Member: Thomas H. Bradley
Member 3: Howard J. Siegel
Addional Members: -NA-
1. T. M. Hansen, R. G. Kadavil, B. Palmintier, S. Suryanarayanan, A. A. Maciejewski, H. J. Siegel, E. K. P. Chong, and E. Hale, “Enabling Smart Grid Cosimulation Studies: Rapid Design and Development of the Technologies and Controls,” in IEEE Electrification Magazine, vol. 4, no. 1, pp. 25-32, March 2016.

2. R. Kadavil, T. M. Hansen, S. Suryanarayanan, “An algorithmic approach for creating diverse stochastic feeder datasets for power systems co-simulations,” accepted for publication, IEEE Power and Energy Society General Meeting, Boston, MA, Jul 2016.
Program of Study:
ECE 565
ECE 567
MECH 575
ECE 508
ECE 509
ECE 623
ECE 510
ECE 699