Privacy-aware electricity scheduling for home energy management system
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In the context of smart grid, home energy management system (HEMS) needs to collect the fine-grained energy consumption data through smart meters. However, the fine-grained data contain the electricity consumption patterns of consumers, which can induce serious privacy issues. In order to protect the electric privacy of consumers, a privacy-aware electricity scheduling strategy for HEMS is proposed in this paper. Firstly, the basic scheduling model of HEMS is presented, and the basic scheduling objective is to minimize the electricity payment while satisfy the daily power demands of consumers. On this basis, a privacy-aware optimal scheduling model adopting rechargeable batteries is established, and the introduction of preference factor enables consumers to make a tradeoff between the total operation cost and privacy security. The electric privacy protection performance is measured by coefficient of determination and the number of features. Besides, the operation cost of batteries is also considered in the modeling process, and the influence battery capacity has on the performance of privacy protection is discussed. Simulation results show that the proposed method is effective and has strong practical application value.
KeywordsPrivacy protection Home energy management system (HEMS) Battery Optimal scheduling
This research was supported by National Natural Science Foundation of China(61202369), Shanghai Technology Innovation Project (13160500900, 14110500900), and Innovation Program of Shanghai Municipal Education Commission (13YZ102).
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