Impacts of plug-in hybrid electric vehicle uncertainty and grid unavailability on home load management

A massive focus has recently been made on demand response (DR) programs, aimed to the electricity price reduction, reliability improvement, and energy efficiency. Basically, DR programs are divided into twofold main categories, namely incentive-based programs and price- or time-based programs. The focus of this paper is on priced-based DR programs including consumer responses to the time differentiated pricing. Home load management (HLM) program is designed to control responsive appliances and charging/discharging cycles of plug-in hybrid electric vehicles (PHEVs) by the consumer. Uncertain parameters associated with PHEV, i.e. its departure/travelling time and energy consumption as well as the grid unavailability in serving the loads are incorporated in the proposed probabilistic HLM model. Numerical simulations are conducted to illustrate the investigated notions and to verify the advantages of the developed model.