期刊
IEEE TRANSACTIONS ON SMART GRID
卷 4, 期 4, 页码 1861-1869出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2013.2256803
关键词
Electric privacy protection; online stochastic programming; residential appliance DR energy management; smart meter
资金
- U.S. National Science Foundation [ECCS-1102064]
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [1102064] Funding Source: National Science Foundation
This paper explores electric privacy issues that may occur along with the residential appliance demand response (DR) energy management in smartmeters. Threemetrics are introduced to quantitatively measure the spatial and/or temporal similarity of metered power profiles. The online stochastic optimization adopts the scenario-based approach viaMonte Carlo (MC) simulation for minimizing the sum of the expected electricity payment and the weighted difference among metered power profiles for the entire day, which are measured by the three similarity metrics, in order to balance the tradeoff between the electricity payment and the electric privacy protection. In addition, batteries are employed to disguise the actual appliance power profile along with the scheduling horizon and enhance the electric privacy protection. Numerical case studies illustrate the effectiveness of the proposed approach for protecting the electric privacy in residential appliance DR energy management.
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