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: 1745894
• 负责人: Yuan Hong
• 金额: $ 47.75万
• 依托单位: Illinois Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745894&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架构集成到现有的电网中，以实现操作智能。微电网的概念与智能网格结合出现，其中可以将网格的小细分细分隔离到自给自足的岛屿中，以用当地能量（例如风能，太阳能）来满足自己的需求负载。迄今为止，微电网开始开发合作模型，以进一步改善全球和本地负载管理的性能，例如全球/局部负载平衡，能源交换以及电力传输网络拓扑设计/升级与微电网的集成。但是，微电网之间的所有合作都要求他们明确共享其本地敏感的网格操作信息，以进行全球性能优化，从而损害了微电网的隐私。然后，微电网的隐私问题将阻碍合作模型的开发和实施，从而使微电网对电网的合作有重大利益可能无法获得。该项目解决了此类合作中的隐私问题，并使微电网能够有效地管理其本地负载，并促进主要网格以有限的披露来操纵全球负载。该项目提出了一套新型的隐私套件，以保存合作模型/技术，以有效地推动微电网上的分布式载荷，以便在电力网上有效地推动负载负载管理。在合作的端到端过程中确保了可证明的隐私/安全性，包括私下分析从不同的微电网收集的数据，并私下实施从合作模型中获得的计划/解决方案，通过用安全的多方计算（SMC）理论和/或施加确定的严格的严格的隐私概念来组成加密原始人。通过严格的标准确保隐私保护将允许由于隐私问题而更早地收集和使用数据，然后提高操作效率和用户接受。通过隐私保存合作的负载管理进一步最佳地分配了分布式能源，并以更安全，可靠和高效的智能电网基础架构将传输和存储成本最小化。该项目还通过令人兴奋的大学生加入科学，技术，工程和数学（STEM）研究来整合研究和教育。