Yu Shaoyuan, Yang Jing, Ni Jia, Chen Chunyi, Yu Tao, Chen Ailin, Geng Jian, Zhong Hua, Weng Weihua, Wei Tao
China Electric Power Research Institute Nanjing Branch, NanJing, JiangSu, China.
State Grid Shanghai Electric Power Company, ShangHai, China.
Heliyon. 2024 Jun 3;10(11):e32091. doi: 10.1016/j.heliyon.2024.e32091. eCollection 2024 Jun 15.
Green and low-carbon development is an important part of global sustainable development. Green power trading provides strong support and assurance for promoting green and low-carbon development. Due to the long cycle of green power data chains and their susceptibility to malicious tampering, the integrity and traceability of data are difficult to guarantee. Therefore, this paper first proposes a security provenance model with enhanced relations based on the core structure of PROV and blockchain technology, which can securely capture provenance records, use the transfer time and number of transactions between various links in the traceability network as reasoning clues, realize the correlation tracing of the green electricity transfer process. Under the model, a traceability mechanism of green electricity is designed based on smart contracts. Trustworthy green electricity data collection is achieved through data filling and data verification techniques. Traceability query technique is adopted to achieve trustworthy traceability of green electricity. And the effectiveness of the proposed solution is demonstrated through simulation experiments.
绿色低碳发展是全球可持续发展的重要组成部分。绿色电力交易为推动绿色低碳发展提供了有力支持和保障。由于绿色电力数据链周期长且易受恶意篡改，数据的完整性和可追溯性难以保证。因此，本文首先基于PROV的核心结构和区块链技术提出了一种增强关系的安全溯源模型，该模型能够安全地捕获溯源记录，以溯源网络中各环节之间的转移时间和交易数量作为推理线索，实现绿色电力转移过程的关联追溯。在该模型下，基于智能合约设计了绿色电力的追溯机制。通过数据填充和数据验证技术实现可信的绿色电力数据采集。采用追溯查询技术实现绿色电力的可信追溯。并通过仿真实验验证了所提解决方案的有效性。
