TWC: Small: Privacy Preserving Cooperation among Microgrids for Efficient Load Management on the Grid

TWC：小型：微电网之间的隐私保护合作，以实现电网上的高效负载管理

• 批准号: 1618221
• 负责人: Yuan Hong
• 金额: $ 47.75万
• 依托单位: SUNY at Albany
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1618221&HistoricalAwards=false
• 关键词: TWC; Small; Privacy; Preserving; Cooperation

Smart grid integrates sensors and communication infrastructure into the existing power grid to enable operational intelligence. The concept of microgrid is emerging in conjunction with the smart grid wherein small segments of the grid can be isolated into self-sufficient islands to feed their own demand load with their local energy, e.g., wind, solar. To date, microgrids begin to develop cooperative models for further improving the performance of global and local load management, such as global/local load balancing, energy exchange, and power transmission network topology design/upgrade with the integration of microgrids. However, all the cooperation among microgrids requests them to explicitly share their local sensitive grid operational information for global performance optimization, and thus compromises the privacy of microgrids. Then, microgrids' privacy concerns would impede the development and implementation of the cooperative models such that significant benefits via microgrids' cooperation on the power grid may not be available. This project tackles the privacy concerns in such cooperation, and enables microgrids to efficiently manage their local loads as well as facilitate the main grid to manipulate the global load with limited disclosure.This project proposes a suite of novel privacy preserving cooperative models/techniques for distributed microgrids to efficiently advance load management on the power grid. Provable privacy/security is ensured in the end-to-end process of cooperation, including privately analyzing data collected from different microgrids and privately implementing the schemes/solutions derived from the cooperative models, by composing cryptographic primitives with the secure multiparty computation (SMC) theory and/or imposing defined rigorous privacy notions. Ensuring privacy protection with rigorous standards will allow data to be collected and used in ways that were prohibitive earlier due to the privacy concerns, and then improve both operational efficiency and user acceptance. Load management via privacy preserving cooperation further optimally allocates distributed energy and minimizes the transmission and storage costs in a more secure, reliable and efficient smart grid infrastructure. This project also integrates research and education by exciting undergraduates to join the Science, Technology, Engineering and Math (STEM) research.

智能电网将传感器和通信基础设施集成到现有电网中，以实现智能运营。微电网的概念是与智能电网一起出现的，其中电网的小部分可以被隔离成自给自足的岛屿，用当地的能源（例如风能、太阳能）满足自己的需求负载。迄今为止，微电网开始开发协作模型，以进一步提高全局和局部负载管理的性能，例如全局/局部负载平衡、能量交换以及与微电网集成的输电网络拓扑设计/升级。然而，微电网之间的所有合作都要求它们明确共享本地敏感的电网运行信息以实现全局性能优化，从而损害了微电网的隐私。那么，微电网的隐私问题将阻碍合作模式的开发和实施，从而可能无法通过微电网在电网上的合作获得显着的效益。该项目解决了这种合作中的隐私问题，使微电网能够有效地管理其本地负载，并促进主电网在有限披露的情况下操纵全球负载。该项目提出了一套新颖的分布式隐私保护合作模型/技术微电网有效推进电网负荷管理。在端到端合作过程中确保可证明的隐私/安全，包括私下分析从不同微电网收集的数据，并通过使用安全多方计算（SMC）组合密码原语私下实施从合作模型得出的方案/解决方案理论和/或强加定义严格的隐私概念。以严格的标准确保隐私保护将允许以前因隐私问题而禁止的方式收集和使用数据，从而提高运营效率和用户接受度。通过隐私保护合作进行负载管理，进一步优化分配分布式能源，并最大限度地降低更安全、可靠和高效的智能电网基础设施中的传输和存储成本。该项目还整合了研究和教育，让本科生积极参与科学、技术、工程和数学 (STEM) 研究。