A Holistic Analysis of Privacy-Aware Smart Grid Demand Response

Cihan Emre Kement*, Hakan Gultekin, Bulent Tavli

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


This study presents a privacy-aware stochastic multiobjective optimization framework that considers the objectives of both consumers and utility companies (UCs) in a demand response (DR) scheme. This framework enables a fair optimization of all the objectives together, and can be used to observe their effects on one another. Using this framework, we performed a comprehensive exploration of the relationships between the objectives of consumers and UCs. The uncertainty of photovoltaic energy sources is modeled by using a stochastic optimization approach. The objectives of the households include minimizing monetary cost and maximizing privacy and comfort. The UC's objectives include minimizing the peak demand and variation of the power demand. This study is the first to present a holistic analysis of privacy-aware DR by incorporating all five objectives of both supply and demand sides. The results reveal that near-optimal privacy performance is achievable with small compromises from the other objectives.

Original languageEnglish
Article number9138735
Pages (from-to)7631-7641
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Issue number8
Publication statusPublished - Aug 2021


  • Demand response (DR)
  • multiobjective optimization
  • privacy
  • smart grid (SG)
  • stochastic optimization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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