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INTEGRATING ELECTRIC ROADWAYS INTO THE ELECTRIC POWER SYSTEM: A MULTI-SCALE SPATIOTEMPORAL EVALUATION
Electric roadways (ERs) represent a new paradigm for electrified transportation that is
enabled by the emerging dynamic (in-motion) wireless power transfer technology. Large-scale
integration of DWPT systems into power grids can pose a problem due to its high-power
requirements, significant number of power electronic converters and spatial concentration.
Despite their potential magnitude, the operational impacts of DWPT on the power grid have
not been fully studied in the literature. This dissertation contributes to our understanding
of how ERs could be successfully integrated with the electric power system at a diverse range
of spatial and temporal levels.
On a macroscopic level, a framework for assessing the financial viability of ERs is proposed.
Annual ER load estimations from traffic flow models of electric vehicles are used to
generate energy forecasts and carry out a financial evaluation. These models are also used to
plan distribution system capacity expansion. On a mesoscopic level, a data-driven design of
ERs and their interconnection with the distribution grid is presented. A data-based stochastic
traffic flow model is developed and used for designing the interconnection of the DWPT
system with the distribution grid ensuring adequate power transmission to high penetration
levels of heavy-duty trucks. The model is also used for conducting a series of quasi-steady
state studies on the power distribution system. On a microscopic level, a methodology for
modeling ER systems for time-domain simulations is proposed. Dynamic component models
are developed for the DWPT system. Power electronics are modeled using average-value
representations and integrated with models of the distribution grid. The models are used for
time-domain system simulations, transient analysis, fault analysis and power quality studies.
Theoretical analysis as well as numerical case studies and simulations of the proposed
methodologies are presented.
National Science Foundation Grant No. 1941524
Joint Transportation Research Program administered by the Indiana Department of Transportation (INDOT) and Purdue University.
- Doctor of Philosophy
- Electrical and Computer Engineering
- West Lafayette