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Graduate Exam Abstract


Rahul Kadavil

M.S. Final

September 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-

Publications:
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