Power Trading Model for Distributed Power Generation Systems Based on Consortium Blockchains

Ran Chen, Jiabei Zhang, Fuquan Yuan, Bo Zhou, Wei Shi, Haiming Zhou
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Abstract

Distributed power generation systems based on clean energy experience a large development worldwide. However, existing centralized power trading models cannot support direct transactions between distributed power generation systems and power consumers. Existing centralized power trading models suffer from multi-agent untrustworthiness and risk of data tampering. In addition, the direct transactions involve a large number of producers and consumers, thus requiring high efficiency of transaction processing in power trading models. To tackle with the problems, we propose a weakly centralized power trading model based on consortium blockchains in this paper. The trading model facilitate the power trading process by using smart contracts on consortium blockchains. In addition, we propose an approach based on the Hotelling theory to determine the pricing for transaction in our power trading model. The experimental results show that our power trading model provides a stable throughput as the request rate of transactions increases. The power trading model proposed in this paper is more practical than those based on public blockchains.
基于联盟区块链的分布式发电系统电力交易模型
基于清洁能源的分布式发电系统在世界范围内得到了很大的发展。然而,现有的集中式电力交易模式无法支持分布式发电系统与电力用户之间的直接交易。现有的集中式电力交易模型存在多主体不可信和数据篡改风险。此外,直接交易涉及大量的生产者和消费者,这就要求电力交易模式的交易处理效率很高。为了解决这些问题,本文提出了一种基于联盟区块链的弱中心化权力交易模型。该交易模型通过在联盟区块链上使用智能合约来促进电力交易过程。此外,我们提出了一种基于霍特林理论的方法来确定我们的电力交易模型中的交易定价。实验结果表明,随着交易请求率的增加,我们的电力交易模型能够提供稳定的吞吐量。本文提出的电力交易模型比基于公链的电力交易模型更实用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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