Walter Scott, Jr. College of Engineering

Graduate Exam Abstract

Mayank Panwar
Ph.D. Preliminary
Nov 13, 2015, 9:00 am - 11:00 am
ECE Conference Room C101B
Abstract: Dispatch and control of microgrids
with multiple heterogeneous
dispatchable and non-dispatchable
distributed energy resources (DERs),
is one of the biggest challenges in the
future power system operation. A
microgrid can exist to serve several
different purposes with changing
priorities during the operation. As a
result, the dispatch philosophy
becomes non-trivial. A dispatch
framework is developed with flexibility
to include multiple traditional and
user-defined objectives
simultaneously, with time-varying
preferences. Multi-criteria decision
analysis (MCDA)-based approach is
adopted using discrete compromise
programming (DCP). New
performance metrics are developed
using some existing metrics for design
and real-time (RT) operation of a
microgrid. The operation is aimed at
maintaining the reliability without high
unused capacity of microgrid as
reserves. Next, a distributed
simulation environment is setup with
hardware-in-the-loop (HIL) capability.
Interfaces and delays in exchange of
simulation data can introduce errors
in the simulations. These errors are
an artifact of the distributed nature of
RT simulations and data
communication latency. Data latency
over communication networks is
stochastic. Techniques will be
developed to mitigate errors due to
variable data latency. Controls are
implemented for supporting the
operation of a microgrid in
unbalanced conditions. This will be
augmented for multiple time-scales to
enhance the inertial response of
microgrid. Interactions between
different components and the
underlying network will be considered.
Adviser: Prof. Siddharth Suryanarayanan
Co-Adviser: N/A
Non-ECE Member: Prof. Dan Zimmerle, ME
Member 3: Prof. Peter M. Young
Addional Members: Prof. Liuqing Yang, Dr. S. Chakraborty, Dr. Rob Hovsapian
1. M. Panwar, S. Suryanarayanan, and R. Hovsapian, “A multi-criteria decision analysis-based approach for dispatch of electric microgrids,” in IEEE Transactions on Smart Grid, pp. 8, under review.

2. M. Panwar, S. Suryanarayanan, and R. Hovsapian, “Performance metrics-based operation of electric microgrids,” under preparation.

3. R. Liu, M. Mohanpurkar, M. Panwar, R. Hovsapian, A. Srivastava, and S. Suryanarayanan, “Role of linear prediction in geographically distributed real time simulations,” ready for submission.

4. J. D. Osorio, M. Panwar, R. Hovsapian, S. Suryanarayanan, J. Ordonez, “Multi-objective optimization of supercritical CO2-based concentrated solar thermal power system operation,” under preparation.

5. Y. Luo, M. Panwar, M. Hossain, M. Mohanpurkar, R. Hovsapian, “Supercapacitor energy storage control in microgrids considering thermal constraints,” for IEEE Power and Energy Society General Meeting 2016, pp. 5, ready for submission.

6. M. Panwar, M. Mohanpurkar, J. D. Osorio, and R. Hovsapian, “Significance of dynamic and transient analysis in the design and operation of hybrid energy systems,” in Proceedings of the 9th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human Machine Interface Technologies, 2015, p. 10.

7. M. Panwar, S. Suryanarayanan, and S. Chakraborty, “Steady-state modeling and simulation of a distribution feeder with distributed energy resources in a real-time digital simulation environment,” in North American Power Symposium (NAPS), 2014, 2014, pp. 1–6.

8. M. Panwar, B. Lundstrom, J. Langston, S. Suryanarayanan, and S. Chakraborty, “An overview of real time hardware-in-the-loop capabilities in digital simulation for electric microgrids,” in North American Power Symposium (NAPS), 2013, 2013, pp. 1–6.

9. M. Panwar, D. Zimmerle, and S. Suryanarayanan, “Data Analysis and Visualization for Electric Microgrids: A Case Study on the FortZED RDSI Microgrid,” in 2013 IEEE Green Technologies Conference, 2013, pp. 330–337.

10. M. Panwar, G. P. Duggan, R. T. Griffin, S. Suryanarayanan, D. Zimmerle, M. Pool, and S. Brunner, “Dispatch in microgrids: lessons from the Fort Collins renewable and distributed systems integration demonstration project,” The Electricity Journal, vol. 25, no. 8, pp. 71–83, Oct. 2012.
Program of Study:
ECE 530
ECE 566
ENGR 550
MECH 680A4
PSY 692A
ECE 795
ECE 799
ECE 520