SYSYFeb 3, 2019

TRANSAX: A Blockchain-based Decentralized Forward-Trading Energy Exchange for Transactive Microgrids

arXiv:1902.0084453 citationsh-index: 52
AI Analysis

For smart grid communities, this provides a rigorous solution to privacy, trust, and resilience issues in decentralized energy trading, though it is an incremental combination of existing technologies.

The paper presents TRANSAX, a blockchain-based decentralized energy exchange for transactive microgrids that addresses privacy, trust, and resilience challenges using MILP solvers, smart contracts, and publish-subscribe middleware. It demonstrates trade-offs between market efficiency and resource requirements.

Power grids are undergoing major changes due to rapid growth in renewable energy and improvements in battery technology. Prompted by the increasing complexity of power systems, decentralized IoT solutions are emerging, which arrange local communities into transactive microgrids. The core functionality of these solutions is to provide mechanisms for matching producers with consumers while ensuring system safety. However, there are multiple challenges that these solutions still face: privacy, trust, and resilience. The privacy challenge arises because the time series of production and consumption data for each participant is sensitive and may be used to infer personal information. Trust is an issue because a producer or consumer can renege on the promised energy transfer. Providing resilience is challenging due to the possibility of failures in the infrastructure that is required to support these market based solutions. In this paper, we develop a rigorous solution for transactive microgrids that addresses all three challenges by providing an innovative combination of MILP solvers, smart contracts, and publish-subscribe middleware within a framework of a novel distributed application platform, called Resilient Information Architecture Platform for Smart Grid. Towards this purpose, we describe the key architectural concepts, including fault tolerance, and show the trade-off between market efficiency and resource requirements.

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