New Plug-in Electric Vehicles Charging Models Based on Demand Response Programs for System Reliability Improvement

This thesis presents a comprehensive reliability framework for incorporating different plug-in electric vehicle (PEV) charging load models into generation adequacy evaluation. It applies statistical goodness-of-fit analysis and stochastic Monte Carlo simulation to model driver behavior, uncontrolled charging, and charging based on time-of-use (TOU) pricing. The research also proposes reliability-based demand response frameworks for managing PEV charging during critical system events and for designing TOU schedules that mitigate the adverse impact of uncontrolled charging while improving overall power system reliability.