A Holistic Analysis Of Privacy-Aware Smart Grid Demand Response

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS(2021)

引用 13|浏览5
暂无评分
摘要
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.
更多
查看译文
关键词
Optimization, Privacy, Batteries, Home appliances, Load management, Principal component analysis, Smart grids, Demand response (DR), multiobjective optimization, privacy, smart grid (SG), stochastic optimization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要