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Outage management in residential demand response programs

Rastegar, M ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/TSG.2014.2338794
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. This paper proposes a novel optimization based home load control (HLC) to manage the operation periods of responsive electrical appliances, determine several recommended operation periods for nonresponsive appliances, and schedule the charge/discharge cycling of plug-in hybrid electric vehicle (PHEV) considering various customer preferences. The customer preferences are in the format of payment cost, interruption cost, and different operational constraints. The projected algorithm is online, in which household appliances are initially scheduled based on the payment cost, and when the home load is interrupted, the scheduling will be updated to minimize customer interruption cost. Due to vehicle to home capability of PHEV, the home outage can be managed through solving the proposed optimization problem. Several realistic case studies are carried out to examine the performance of the suggested method. In addition, the impacts of common electricity tariffs on the HLC results are investigated. The results reveal that employing the proposed HLC program benefits not only the customers by reducing their payment and interruption costs, but also utility companies by decreasing the peak load of the aggregate load demand
  6. Keywords:
  7. Home load control ; Payment cost ; Costs ; Crashworthiness ; Domestic appliances ; Electric load management ; Electric machine control ; Hybrid vehicles ; Optimization ; Sales ; Vehicles ; Charge/discharge cycling ; Customer interruption costs ; Demand response programs ; Interruption costs ; Operational constraints ; Optimization problems ; Outage management ; Plug in hybrid electric vehicles ; Plug-in hybrid vehicles
  8. Source: IEEE Transactions on Smart Grid ; Volume 6, Issue 3 , August , 2015 , Pages 1453-1462 ; 19493053 (ISSN)
  9. URL: http://ieeexplore.ieee.org/document/6870452/?arnumber=6870452