中国电力2025，Vol.58Issue(9)：205-218,14.DOI:10.11930/j.issn.1004-9649.202503034
面向分布式新能源聚合交易的可信合约化交易模型
A Trusted Contract-Based Trading Model for Distributed New Energy Aggregation Trading
摘要
Abstract
Current pooled green electricity transactions face dual challenges:inefficient supply-demand matching and the absence of reliable trust frameworks.Addressing these issues calls for a multi-technology approach to establish a flexible and trustworthy trading system.To address this,this paper innovatively integrates the subjective logic trust evaluation model,the blockchain's immutable evidence storage mechanism,and the smart contract's automatic execution framework to construct a multi-technology collaborative trusted contract-based trading model.This model builds a reputation quantification model based on the analysis of transaction behavior characteristics to dynamically depict the evolution law of the credibility of participating entities;design a distributed game matching mechanism based on the firework algorithm to achieve autonomous and optimized matching of participating entities;and further develops a full-process smart contract chain based on blockchain to realize the trusted and automated execution of the closed loop from aggregated declaration,matching to fund settlement.Simulation results show that this solution significantly improves transaction performance compared to the traditional model:the dynamic reputation mechanism enables real-time assessment of the credibility of transaction entities,effectively purifying the trading environment;the consumption rateincreases by 46.5%and the revenue increases by 38.2%;the contract execution delay is reduced by 49.7%and the throughput is increased by 55%.关键词
分布式新能源/聚合商/信誉评估/非合作博弈/智能合约Key words
distributed renewable energy/aggregator/reputation evaluation/non cooperative games/smart contracts引用本文复制引用
张楠,郭庆雷,杜哲,王栋,张岩,赵靓,蒋宇..面向分布式新能源聚合交易的可信合约化交易模型[J].中国电力,2025,58(9):205-218,14.基金项目
国家重点研发计划资助项目(2022YFB2703400). This work is supported by National Key Research and Development Program of China(No.2022YFB2703400). （2022YFB2703400）
