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Optimal in-home charge scheduling of plug-in electric vehicles incorporating customer’s payment and inconvenience costs

Fotuhi-Firuzabad, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1007/978-981-287-317-0_10
  3. Abstract:
  4. Plug-in electric vehicles (PEVs) are identified as one of the motivating technologies in smart grid era. However, if their highly disruptive impacts on the distribution system are left unaddressed, it may obstruct both smart grid development and PEV adoption. This chapter develops a novel in-home PEV charging control (PCC) algorithm that schedules both the time and level of charging PEVs incorporating customer’s desired comfort level. This optimization-based problem attempts to achieve a trade-off between minimizing the electricity payment and minimizing the waiting time to fully charge the PEVs in presence of a time of use (TOU) pricing tariff combined with inclining block rates (IBRs). The projected algorithm is online in which each PEV is scheduled at its plug-in time, and the charge scheduling of plugged-in PEVs are updated when the next PEV is pluggedinto the home outlet. The proposed method is applied to a smart home with different number of PEVs and various levels of customer’s comfort. In addition, the impacts of solving PCC problems on the specifications of the IEEE 34-bus residential test feeder with different PEV penetration levels are investigated. The simulation results are presented to demonstrate the effectiveness and applicability of the proposed PEV charge scheduling scheme
  5. Keywords:
  7. Source: Power Systems ; Vol. 88, Issue. 1 , 2014 , pp. 301-326 ; ISSN: 1612-1287
  8. URL: http://link.springer.com./chapter/10.1007%2F978-981-287-317-0_10