虚拟电厂可信电力交易策略研究

Xiaomin Zhong, Shaoyuan Yu, Jian Zheng, A. Chen, Tao Wei, Jiantao Liu, Jing Zhou
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引用次数: 1

摘要

随着可再生能源的大规模部署,电力交易系统面临着信任和效率的双重挑战。在本文中,我们提出了一种新的分布式可信交易策略,通过在超级账本结构上使用智能合约来提供能源服务。定义了匹配机制,实现了采购与销售的自动匹配。此外,交易记录存储在区块链分布式账本中,这将防止交易结算中的贸易纠纷。使用Golang编程语言生成交易智能合约,并选择改进的IEEE 33总线配电系统作为案例研究,以开发和验证该市场框架。结果表明,该方案成功地提高了电力交易的效率和安全性,使虚拟电厂的购电和售电都受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Trusted Power Transaction Strategy in Virtual Power Plant
With the large-scale deployment of renewable energy sources, the power trading system faces dual challenges of trust and efficiency. In this paper, we propose a novel distributed trusted transaction strategy for virtual power plants by using smart contracts on Hyperledger Fabric to provide energy services. A matching mechanism has been defined to realize automatic matching between purchases and sales. Furthermore, transaction records are stored in a blockchain distributed ledger, which will prevent trade disputes in transaction settlements. The Golang programming language is utilized to generate the transaction smart contracts, and a modified IEEE 33-bus distribution system is selected as the case study in order to develop and verify this market framework. The results show that the proposed solution successfully improves the efficiency and safety of power transactions, and benefits both purchases and sales in the virtual power plant.
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