Electric Vehicle Scheduling Strategy in Residential Demand Response Programs with Neighbor Connection

Shalini Pal, Rajesh Kumar

Research output: Contribution to journalArticlepeer-review

95 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)980-988
Number of pages9
JournalIEEE Transactions on Industrial Informatics
Volume14
Issue number3
DOIs
Publication statusPublished - Mar 2018
Externally publishedYes

Keywords

  • Demand response (DR) programs
  • electric vehicle (EV)
  • smart grid
  • vehicle-to-grid (V2G)
  • vehicle-to-home (V2H)
  • vehicle-to-neighbor (V2N)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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