An adaptive control of smart appliances with peak shaving considering EV penetration

Zunaib Maqsood Haider*, Farhan H. Malik, M. Kashif Rafique, Soon Jeong Lee, Jun Hyeok Kim, Khawaja Khalid Mehmood, Saad Ullah Khan, Chul Hwan Kim

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Abstract

Electric utilities may face new threats with increase in electric vehicles (EVs) in the personal automobile market. The peak demand will increase which may stress the distribution network equipment. The focus of this paper is on an adaptive control of smart household appliances by using an intelligent load management system (ILMS). The main objectives are to accomplish consumer needs and prevent overloading of power grid. The stress from the network is released by limiting the peak demand of a house when it exceeds a certain point. In the proposed strategy, for each smart appliance, the customers will set its order/rank according to their own preferences and then system will control the household loads intelligently for consumer reliability. The load order can be changed at any time by the customer. The difference between the set and actual value for each load's specific parameter will help the utility to estimate the acceptance of this intelligent load management system by the customers.

Original languageEnglish
Pages (from-to)730-737
Number of pages8
JournalTransactions of the Korean Institute of Electrical Engineers
Volume65
Issue number5
DOIs
Publication statusPublished - 1 May 2016
MoE publication typeA1 Journal article-refereed

Keywords

  • Customer reliability
  • Electric vehicle (EV)
  • Intelligent load management system (ILMS)
  • Load rank
  • Peak demand

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