TRANSAX:一种基于区块链的去中心化前向交易能源交易所用于交易微电网
TRANSAX: A Blockchain-based Decentralized Forward-Trading Energy Exchange for Transactive Microgrids
AI总结:
本文提出了一种基于区块链的去中心化前向交易能源交易所,旨在解决微电网中隐私、信任和韧性问题,通过结合MILP求解器、智能合约和发布-订阅中间件,构建了一个新的分布式应用平台。
摘要:
由于可再生能源的快速增长和电池技术的改进,电力网络正经历重大变化。受电力系统复杂性增加的推动,去中心化的物联网解决方案正在兴起,将本地社区组织成交易微电网。这些解决方案的核心功能是提供机制,使生产者与消费者匹配,同时确保系统安全。然而,这些解决方案仍面临多个挑战:隐私、信任和韧性。隐私挑战源于每个参与者生产和消费数据的时间序列敏感,可能被用来推断个人信息。信任问题是由于生产者或消费者可能违约能源传输承诺。提供韧性具有挑战性,因为支持这些基于市场的解决方案的基础设施可能失效。在本文中,我们开发了一种严谨的解决方案,通过在新型分布式应用平台Resilient Information Architecture Platform for Smart Grid框架内结合创新的MILP求解器、智能合约和发布-订阅中间件,解决所有三个挑战。为此,我们描述了关键的架构概念,包括容错性,并展示了市场效率与资源需求之间的权衡。
英文摘要:
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.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。