Optimization study demonstrates reduced electricity payments and peak loads in residential households, indicating enhanced grid flexibility through neighbor-connected electric vehicle scheduling.
As smart grid enablers, demand response programs for household purposes have been in highlight recently. This paper presents a detailed structure of a household user, which is capable of energy transactions among consumer and load-serving entity. The proposed household model comprises several assets including nonshiftable appliances, shiftable appliances, and electric vehicle (EV). The EV can further contribute to the vehicle-to-home and vehicle-to-grid type of connections that can reduce the household electricity payments with their bilateral energy transactions. The day-ahead dynamic prices are superimposed with peak power limiting approach to prevent the formation of new peaks. The energy transaction among neighbor enhances the reduction in daily energy payments and flexibility among users. The centralized optimization problem is formulated as mixed integer linear programming problem. The validity of the proposed system can be proven by performance evaluation of simulation results.
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Pal et al. (2017) studied this question.
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