Graduate Exam Abstract
Mayank PanwarPh.D. Final
September 26, 2016, 1:00 pm - 3:00 pm
Johnson Hall JNTHR 120
OPERATION OF ELECTRIC MICROGRIDS UNDER UNCERTAINTY
Abstract: Optimization and decision-making are non-trivial in case of multiple, incommensurable, and conflicting objectives. Decision-making becomes more complicated with uncertainty in inputs. Power system operation with electric microgrids subsumes all of the abovementioned aspects. Centralized decision-making in day-ahead dispatch of microgrids with multiple objectives in a grid-connected mode is addressed from the perspective of a power distribution system operator. Uncertainties in the electrical output of variable distributed energy resources (DERs) and load demand due to forecasting errors are treated statistically by using empirical distributions. Scenarios for simulation are generated using statistics of actual data for solar and load demand forecast. Kantorovich distance measure is used for scenario reduction to maintain computational tractability of the problem. Discrete compromise programming (DCP) is used for multi-criteria decision-analysis (MCDA) to obtain non-dominated dispatch solutions without generating a computationally expensive Pareto front. Two step look-ahead dynamic program routine is used for dispatch optimization of dispatchable, non-dispatchable solar, and energy storage assets. New performance metrics are developed for reserve management in microgrids using North American Electric Reliability Corporation (NERC) metrics and some previously developed metrics by this researcher. The economic dispatch problem is formulated as a constrained optimization problem with the new metric for reserve as a constraint. Optimization programs are implemented using MATLAB® and power system simulations are performed on a standard IEEE 13-node test distribution feeder using the real-time simulation platform—RTDS®. Some potential future developments and applications of performance metrics are presented as future work.
Adviser: Prof. Siddharth Suryanarayanan
Non-ECE Member: Prof. Dan Zimmerle, ME
Member 3: Prof. Peter Young, ECE
Addional Members: Prof. Liuqing Yang (ECE), Dr. Sudipta Chakraborty (NREL), Dr. Rob Hovsapian (INL)
1. M. Panwar, S. Suryanarayanan, and R. Hovsapian, “A multi-criteria decision analysis-based approach for dispatch of electric microgrids,” in International Journal of Electrical Power and Energy Systems, under review.
2. M. Panwar, S. Suryanarayanan, and R. Hovsapian, “A performance metric for reserve management in day-ahead dispatch of electric microgrids,” in Applied Energy, under preparation.
3. R. Liu, M. Mohanpurkar, M. Panwar, R. Hovsapian, A. Srivastava, and S. Suryanarayanan, “Geographically distributed real-time digital simulations using linear prediction,” International Journal of Electrical Power & Energy Systems, vol. 84, pp. 308–317, Jan. 2017.
4. Y. Luo, M. Panwar, M. Hossain, M. Mohanpurkar, R. Hovsapian, “Real time optimal control of supercapacitor operation for frequency response,” 2016 IEEE Power and Energy Society General Meeting, Boston, MA, 2016, pp. 1-5.
5. M. Mohanpurkar, M. Panwar, S. Chanda, M. Stevic, R. Hovsapian, V. Gevorgian, S. Suryanarayanan, and A. Monti, “Distributed real-time simulations for electric power engineering,” in “Cyber-physical social systems and constructs in electric power engineering,” The Institution of Engineering and Technology (IET), London, UK, November 2016.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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: