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 标    题: 基于区块链的可信电力交易系统设计(2023 第2卷 第1期 11)
作       者:

赵勇,陆宏智,俞耀文,黄成

文章栏目:
数字经济与管理
摘       要:

电力市场作为全国统一能源市场中的重要一环,在电力资源的优化配置中发挥着关键作用。具备数据难以篡改、去中心化等特点的区块链技术能为建设健全、高效、可靠的电力市场提供重要的信息技术支撑。本文分析区块链技术在电力市场中的应用和研究现状,提出基于区块链的可信电力交易系统框架,并以社区电力交易系统设计为例进行阐述。首先,介绍区块链以及其中与交易密切相关的智能合约技术,分析区块链在电力市场中的应用和研究现状,包括分布式交易和集中式交易,总结提炼出构建可信电力市场的理论和技术需求。进而,提出基于区块链的可信电力交易系统框架,依靠机制设计激励市场参与者的行为可信,通过区块链技术保障交易数据可信。最后,以社区电力交易系统设计为例,从系统结构、智能合约和交易机制三方面进行阐述。

关  键  词:

区块链;电力市场;机制设计;智能合约;信任

Abstract: As an important part of the national unified energy market, the electricity market plays a key role in the optimal allocation of electric resources. Blockchain technology with the characteristics of data immutability and decentralization can provide important information technology support for the construction of a sound, efficient, and reliable electricity market. This paper analyzes the application and research status of blockchain technology in the electricity market, proposes a blockchain-based trustworthy electricity trading system framework, and takes the design of a community electricity trading system as an example for illustration. At first, blockchain and the smart contract technology closely related to trading are described, the application and research statuses of blockchain in the electricity market are analyzed, including distributed trading and centralized trading, and the theoretical and technical requirements for building a trustworthy electricity market are summarized. Then, a blockchain-based trustworthy electricity trading system framework is proposed, where the trustworthiness of market participants' behavior is incentivized relying on the mechanism design, and the trustworthiness of trading data is guaranteed through blockchain technology. Finally, taking the design of a community electricity trading system as an example, the system structure, smart contracts and the trading mechanism are illustrated.
Keywords:

Blockchain; Electricity Market; Mechanism Design; Smart Contract; Trust

作者简介:

赵勇,华中科技大学人工智能与自动化学院教授、博士生导师,Email: zhiwei98530@hust.edu.cn;

陆宏智(通讯作者),华中科技大学人工智能与自动化学院硕士研究生,Email: hzlu@hust.edu.cn;

俞耀文,华中科技大学人工智能与自动化学院副教授;

黄成,国网江苏省电力公司电力科学研究院工程师。

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