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基于区块链的电力交易模型及博弈定价方法 被引量:2

Blockchain-Based Electricity Trading Model and Game Theoretic Pricing Method
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摘要 为解决传统能源中心化交易模式缺少灵活性、透明性和可监督性等问题,满足新型电力系统中电网各主体间电力交易市场化、定价灵活化等新要求,本文提出一种基于区块链的电力交易模型及博弈定价方法。该电力交易模型具有分布式、去中心化、不可篡改和加密安全等优势。首先,建立基于区块链的电力交易模型,协调发、供、用等主体间的生产和消费行为,形成统一的市场机制。其次,提出了基于博弈的多时间尺度电力交易竞价机制,利用蚁群优化(ACO)算法求解可得每小时的最佳竞拍价格。最后,通过仿真验证了交易模型及博弈定价方法,在激励政策下各交易方收益最优化。结果表明,交易模型及定价方法在新能源参与交易背景下能有效地平衡市场各主体的效益。基于区块链的智能合约可实现电力交易过程的智能化、透明化和可追溯性。 To solve the lack of flexibility,transparency,and supervisability in the centralized trading model of traditional energy,and to meet the new requirements for marketization and flexible pricing of electricity transactions among various entities in the new power system,a blockchain-based electricity trading model and game theoretic pricing method are proposed.This electricity trading model possesses advantages such as distribution,decentralization,immutability,and encrypted security.Firstly,a blockchain-based electricity trading model is established to coordinate the production and consumption behaviors among entities involved in generation,supply,and consumption,forming a unified market mechanism.Secondly,a game-theoretic multi-time scale electricity trading bidding mechanism is proposed,utilizing ant colony optimization(ACO)algorithm to find the optimal bidding price for each hour.Finally,the trading model and game theoretic pricing method are verified through simulation,optimizing the profits of each party under incentive policies.The results demonstrate that the trading model and pricing method can effectively balance the benefits of various market participants in the context of renewable energy participation,and the blockchain-based smart contract enables the intelligence,transparency,and traceability of the electricity trading process.
作者 刘建戈 单劲松 戴欣 周峰 张鹏宇 徐晓敏 姜蒙娜 LIU Jiange;SHAN Jinsong;DAI Xin;ZHOU Feng;ZHANG Pengyu;XU Xiaoming;JIANG Mengna(Huai'an Power Supply Branch,State Grid Jiangsu Electric Power Company Limited,Huai’an 223002,Jiangsu,China;Faculty of Computer and Software Engineering,Huaiyin Institute of Technology,Huai’an 223003,Jiangsu,China)
出处 《电力大数据》 2023年第9期1-9,共9页 Power Systems and Big Data
基金 国网江苏电力有限公司科技项目(J2020120)。
关键词 区块链 电力交易 智能合约 博弈 蚁群算法 blockchain electricity transaction smart contract game ant colony algorithm
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