Graduate Exam Abstract

Mayank Panwar

Ph.D. Preliminary
November 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