随着智能电网技术的发展，隐私问题越来越引起公众的关注和不安。由于智能电网数据的效用相关性特点以及连续性隐私保护需求，目前数据的隐私性、可用性和效用优化已成为设计电力系统方案所追求的目标。但是，已有的隐私保护方案大都不具备可用性。隐私与可用性的平衡是智能电网效用优化面临的一个崭新问题。因此，本项目以提高电网数据在使用过程中的隐私性和可用性为目的，开展以下研究：1)隐私安全的重复数据删除机制，对重复密文进行删除，减少传输带宽和时间，提高隐私数据高效传输的可用性；2）隐私数据的安全查询机制，实现查询条件隐私保护并支持密文的区间、逻辑和聚合查询，提高隐私数据查询分析时的可用性； 3）针对电网效用需求，研究数据的隐私与可用性评价机制，实现电网效用和隐私保护质量的权衡与优化。尊重用户隐私并提供可用高效的隐私保护机制是智能电网发展的必然趋势，因此本项目的研究对智能电网具有极大的理论价值与现实意义。

With the development of smart grid technology，privacy preserving of metering data attracts much more attentions from the government, enterprises and universities. Since the metering data has many characteristics, such as privacy protection continuity, utility correlation etc., currently, data privacy, usability and utility optimization become the design goals of power system. However, most of the existing data privacy protection schemes don't have usability. The balance between privacy and the usability is a new problem for the smart grid utility optimization. Therefore, this project tries to improve data privacy and usability during the using processes. Our research content includes: 1) we will propose secure data deduplication mechanism with privacy preserving, facilitating efficient data transmission; 2) we will propose rapid query schemes over encrypted data to support rang query, logic query and aggregation query etc., improving the usability of data in querying process; 3) we will propose privacy-utility evaluation mechanism based on the entropy and copula theory, and we also will try to achieve a balance between the privacy and the utility in the smart grid. Finally, we will apply the above methods and theories into the actual micro-grid system for data privacy protection. The research results of this project will enrich the theories of smart grid technology, information theory and applied cryptography; also boost the development of industrial and economic use of the smart grid.