CEnTrA:面向智能电网的城市规模能源交易应用

Shinjan Mitra, Kevin Joshi, K. Ramamritham
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引用次数: 0

摘要

在智能电网的广泛支持下,利用分布式账本技术促进点对点(P2P)能源共享的隐私、信任和安全正受到全球的关注。然而,由于与产消者数量增加相关的可扩展性和性能挑战,实施仅限于微电网或邻里水平。因此,包括生产者和消费者在内的利益相关者需要一个可扩展的解决方案来推进信息和能源交换目标。为此,我们提出了CEnTrA,这是区块链分片的一种应用,用于开发一种能够在城市规模上处理P2P能源共享交易的新型分层模型。CEnTrA基于ChainSpace,并利用电网的结构来创建可扩展的网络。分层模型允许在网格的不同级别和位置使用定制的事务策略。结果表明,与不进行分片相比,分片将事务吞吐量提高了59.52%。此外,提出了一种基于位置的分片模型,与随机分片相比,在250个输入时,多输入事务的性能提高了39.57%。
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CEnTrA: City-scale Energy Transaction Application for the Smart Grid
Under the broader aegis of smart grid, the use of Distributed Ledger Technology to promote privacy, trust and security in peer-to-peer (P2P) energy sharing is gaining attention globally. However, implementation is limited to microgrid or neighbourhood level due to the challenges of scalability and performance associated with increase in number of prosumers. Therefore, the inclusion of stakeholders- producers to prosumers-require a scalable solution for advancing the information and energy exchange objectives. To this end, we propose CEnTrA, an application of sharding in blockchain to develop a novel hierarchical model capable of processing P2P energy sharing transactions at city-scale. CEnTrA is based on ChainSpace and takes advantage of the structure of the electrical grid to create a scalable network. The hierarchical model allows the use of customized transaction policies at different levels and locations of the grid. The results show that sharding increases transaction throughput by upto 59.52% in comparison to no sharding. Additionally, a location-based sharding model is presented that improves performance of multi-input transactions by 39.57% for 250 inputs in comparison to random sharding.
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