区块链能源交易三角模型优化机制研究

肖丽丽; 蒋海波; 金正猛

doi:10.11959/j.issn.2096-109x.AQ25199

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区块链能源交易三角模型优化机制研究

学术论文 | 更新时间：2026-05-11

- 区块链能源交易三角模型优化机制研究
- Research on the optimization mechanism of blockchain energy trading triangular model
- 网络与信息安全学报 2026年12卷第2期页码：90-103
- 作者机构：
  
  南京邮电大学，江苏南京 210000
- 作者简介：
  
  [ "肖丽丽（1982- ），女，硕士，南京邮电大学讲师，主要研究方向为计算数学、数据安全、区块链应用和可信交易。" ]
  [ "蒋海波（1993- ），男，博士，南京邮电大学讲师，主要研究方向为粒计算、粗糙集数据分析与智能决策、数据安全。" ]
  [ "金正猛（1982- ），男，博士，南京邮电大学教授、博士生导师，主要研究方向为数值优化、图像处理、数据安全。" ]
- 基金信息：
  
  国家自然科学基金资助项目(12271262);江苏省自然科学基金资助项目(BK20240607);江苏高校自然科学基金资助项目(24KJD110005)
- DOI：10.11959/j.issn.2096-109x.AQ25199
  中图分类号： TP393
- 收稿：2025-08-04，
  
  修回：2026-03-30，
  
  录用：2026-03-30，
  
  纸质出版：2026-04-25
- 稿件说明：
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肖丽丽, 蒋海波, 金正猛. 区块链能源交易三角模型优化机制研究[J]. 网络与信息安全学报, 2026, 12(2): 90-103.

Xiao Lili, Jiang Haibo, Jin Zhengmeng. Research on the optimization mechanism of blockchain energy trading triangular model[J]. Chinese Journal of Network and Information Security, 2026, 12(2): 90-103.
肖丽丽, 蒋海波, 金正猛. 区块链能源交易三角模型优化机制研究[J]. 网络与信息安全学报, 2026, 12(2): 90-103. DOI： 10.11959/j.issn.2096-109x.AQ25199.

Xiao Lili, Jiang Haibo, Jin Zhengmeng. Research on the optimization mechanism of blockchain energy trading triangular model[J]. Chinese Journal of Network and Information Security, 2026, 12(2): 90-103. DOI： 10.11959/j.issn.2096-109x.AQ25199.

摘要

随着能源领域公平交易的需求增加，用区块链技术作为能源交易的新模式开始进入大众视野，但是存在没有第三方背书、效率较低、分配不合理等问题。基于此，提出了在能源交易分片系统中，采用创新融合动态权益证明（PoS）机制和熵值调控策略，解决传统能源交易中存在的信任缺失、交易效率低下以及能源分配不均等问题的方案。在优化的三角模型中，采用可验证随机函数选验证人，并结合节点实时状态与交易活跃度动态调整质押权重；利用香农熵量化权益分布，设定阈值触发再分配；通过非支配排序遗传算法（NSGA）求解吞吐量、安全性、去中心化3个目标的帕累托前沿解集。在动态PoS机制中，采用了依据节点的实时状态和能源交易活跃度来动态调整权益权重的机制，有效提升了交易验证的效率和公平性；引入熵值调控进行量化，降低了能源交易系统的不确定性与混乱程度，确保了能源资源的合理分配和高效利用。实验结果表明，经优化后，系统吞吐量和攻击成本实现显著提升，同时去中心化度升至89%，综合性能提高12.8倍。新方案具有较好的交易增效性、安全性和节能降耗性等优点，有利于降低能源交易成本、提升能源交易的市场透明度和市场稳定性。

Abstract

With the increasing demand for fair trading in the energy sector

the use of blockchain technology as a new model for energy trading has begun to come into the public eye. However

there are problems such as the lack of a third party to endorse

relatively low efficiency

and unreasonable distribution. The innovative integration of the dynamic proof of stake (PoS) mechanism and entropy regulation strategy in the energy trading sharding system was proposed to solve problems such as trust deficiency

low transaction efficiency and uneven energy distribution existing in traditional energy trading. In the optimized triangular model

verifiable random functions were adopted to select validators

and the staking weights were dynamically adjusted in combination with the real-time status of nodes and transaction activity. Quantify the distribution of equity using Shannon entropy and set a threshold to trigger redistribution. The Pareto frontier solution set for the three objectives of throughput

security and decentralization was solved through the NSGA. A mechanism was adopted to dynamically adjust the equity weight based on the real-time status of nodes and the activity level of energy transactions

effectively enhancing the efficiency and fairness of transaction verification. The regulation was introduced for quantification to reduce the uncertainty and chaos of the energy trading system

ensuring the rational allocation and efficient utilization of energy resources. The experimental results show that optimized system throughput and attack cost have been significantly improved. Meanwhile

the degree of decentralization has risen to 89%

and the overall performance has increased by 12.8 times. This scheme has advantages such as good transaction efficiency

security and energy conservation and consumption reduction

which is conducive to reducing energy transaction costs

enhancing the transparency and stability of the energy transaction market.

关键词

Keywords

references

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