Smart Grid Privacy Protection Using Solar Energy and Rechargeable Battery

Autor: Liu Liping, Xu Jiajia, Bao Zhenmao
Rok vydání: 2019
Předmět:
Zdroj: Energy Procedia. 158:6170-6175
ISSN: 1876-6102
DOI: 10.1016/j.egypro.2019.01.492
Popis: In smart grid, smart meter (SM) samples users’ energy consumption at high frequency. By analyzing the fine-grained smart metering data, users’ behavior patterns can be recognized thus threatening consumers’ privacy. In this paper, the protection of SM privacy is studied in the presence of solar energy generation system and a rechargeable battery (RB). Solar energy plays the role of an alternative electricity provider for users except power grid. RB can be used to partially hide the real appliance consumption while cut down the electricity bills. A “privacy safe-cost friendly optimal model” is developed aimed at minimizing the weighted sum of privacy leakage and financial cost, with constraints of battery physical conditions and solar radiation amount. In order to solve the optimal problem, we formulate a novel inner-outer optimal algorithm. Simulations demonstrate the efficacy of the proposed algorithm using real data. The impact of the battery capacity and the amount of solar energy on the privacy protection is also studied.
Databáze: OpenAIRE