面向分布式新能源聚合交易的可信合约化交易模型

doi:10.11930/j.issn.1004-9649.202503034

摘要/Abstract

摘要：

当前聚合式绿电交易面临供需匹配效率低和信任机制缺失的双重挑战，亟须多技术协同构建灵活可信的交易体系。为此，创新性地融合主观逻辑信任评估模型、区块链不可篡改的存证机制及智能合约自动执行机制，构建了一种多技术协同的可信合约化交易模型。首先，通过构建基于交易行为特征分析的信誉量化机制，动态刻画交易主体可信度的演化规律；其次，设计基于烟花算法的分布式博弈匹配机制，实现多主体间的自主优化与高效匹配；进一步开发基于区块链的全流程智能合约链，打通聚合申报、撮合匹配及资金结算等关键环节，实现交易流程的可信、自动化闭环执行。仿真结果表明，相较于传统模式，所提动态信誉机制实现了对交易主体可信度的实时评估，有效提升了市场环境的透明度与公信力；绿电消纳率最高提升了46.5个百分点，系统总收益提升达38.2%；合约执行时延降低49.7%，吞吐量提升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

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%.

Key words: distributed renewable energy, aggregator, reputation evaluation, non cooperative games, smart contracts

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.

ZHANG Nan, GUO Qinglei, DU Zhe, WANG Dong, ZHANG Yan, ZHAO Liang, JIANG Yu. A Trusted Contract-Based Trading Model for Distributed New Energy Aggregation Trading[J]. Electric Power, 2025, 58(9): 205-218.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202503034

https://www.electricpower.com.cn/CN/Y2025/V58/I9/205

图/表 16

图 1 面向新能源聚合交易的可信合约化交易架构

Fig.1 Trusted contractual trading architecture for new energy aggregation trading

图 2 分布式新能源聚合参与绿电交易流程

Fig.2 Distributed new energy aggregation participates in the green power trading process

图 3 非合作博弈模型

Fig.3 Non-cooperative game trading model

图 4 聚合层智能合约执行流程

Fig.4 Aggregation layer smart contract execution process

图 5 交易层智能合约执行流程

Fig.5 Transaction layer smart contract execution process

图 6 监管层智能合约执行流程

Fig.6 Regulatory smart contract execution process

图 7 新能源1信誉评估情况

Fig.7 Reputation evaluation of power producer 1

图 8 新能源2信誉评估

Fig.8 Reputation evaluation of power producer 2

图 9 聚合商1信誉评估情况

Fig.9 Reputation evaluation of aggregator 1

图 10 聚合商2信誉评估

Fig.10 Reputation evaluation of aggregator 2

图 11 电力用户1信誉评估

Fig.11 Reputation evaluation of power user 1

图 12 电力用户2信誉评估

Fig.12 Reputation evaluation of power user 2

图 13 买卖双方交易量

Fig.13 Trading volume between buyers and sellers

图 14 买卖双方收益

Fig.14 Profit for both buyers and sellers

图 15 系统时延

Fig.15 System delay

图 16 系统归一化吞吐量

Fig.16 Normalized throughput of the system

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