Pairing: Privately Balancing Multiparty Real-Time Supply and Demand on the Power Grid

摘要

Microgrids equipped with renewable energy resources have proven to be critical building blocks on the power grid that can greatly improve the grid performance. A promising application would be enabling microgrids to utilize their local energy for further balancing the regional supply and demand at different times - ensuring better system economics and reliability. However, due to the privacy concerns on continuously revealing each microgrid's local data for deriving real-time optimal balancing decisions, the application of such promising cooperative technique is still limited. In this paper, we design an efficient cryptographic protocol for privately balancing the regional supply and demand, as well as each microgrid's local supply and demand in real time. We prove the security of our protocol against both passive and active adversaries. Meanwhile, we implemented a prototype of the Pairing system that integrates cryptographic protocol and the power transmission network. We mount the real smart grid datasets into Pairing in real time for system evaluations. The experimental results demonstrate the practicality of our system by scaling to hundreds of microgrids with high accuracy and efficient system performance.