全球能源互联网2026，Vol.9Issue(4)：573-582,10.DOI:10.19705/j.cnki.issn2096-5125.20240171
基于智能合约的绿色电力交易匹配与碳排放研究
Research on Green Power Trading Matching and Carbon Emissions Based on Smart Contracts
摘要
Abstract
With the global power industry's transition towards low-carbonization,to address challenges such as supply-demand price volatility,decentralized matching difficulties,and opaque carbon accounting in green power trading,this paper proposes a green power trading and auditing framework based on blockchain and smart contracts.A collaborative mechanism of"distributed storage-intelligent matching-dynamic accounting"is constructed:First,an underlying architecture is established by combining Hyperledger Fabric and IPFS to realize high-concurrency and de-duplicated storage of power big data.Second,a smart contract-driven double auction mechanism is designed,utilizing Karush-Kuhn-Tucker(KKT)conditions to solve the social welfare maximization model and achieve adaptive matching of supply and demand prices.Finally,a carbon accounting contract based on reputation values is proposed to achieve precise traceability of green attributes by adjusting grid emission factors and implementing a five-level risk warning system.Case study analysis demonstrates that with the introduction of the incentive mechanism,the social welfare of green power trading increases by 30%,the peak electricity price is reduced by approximately 0.2 Yuan/kWh,and the system throughput reaches 800 TPS,effectively meeting the performance requirements for large-scale trading.关键词
绿色电力交易/区块链技术/智能合约/FabricKey words
green power trading/blockchain technology/smart contract/Fabric分类
管理科学引用本文复制引用
郭涛,薛红梅,袁润蛟..基于智能合约的绿色电力交易匹配与碳排放研究[J].全球能源互联网,2026,9(4):573-582,10.基金项目
国家留学基金委员会留学基金(202407840001) （202407840001）
重庆邮电大学博士研究生创新人才项目(BYJS202312).China Scholarship Council(202407840001) （BYJS202312）
Doctoral Student Innovative Talent Project of Chongqing University of Posts and Telecommunications(BYJS202312). （BYJS202312）
