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文章摘要
基于区块链的智能电网分布式资源管理研究
Research on distributed resource management of smart grid based on blockchain
Received:August 15, 2020  Revised:December 21, 2022
DOI:10.19753/j.issn1001-1390.2023.10.012
中文关键词: 智能电网  分布式能源  电力网络管理系统  电力交互管理区块链  智能合约
英文关键词: smart grid, distributed energy, power network management system, power interactive management blockchain, smart contract
基金项目:国家自然科学基金项目(51874010);安徽省工业节电与电能质量控制协同创新中心开放课题基金项目(KFKT201406);物联网关键技术研究创新团队(201950ZX003)
Author NameAffiliationE-mail
Wang Lei* Anhui University of Science and Technology 17755438775@163.com 
Li Jingzhao Anhui University of Science and Technology 1530646047@qq.com 
Qin Xiaowei Anhui University of Science and Technology lingxu0812@126.com 
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中文摘要:
      针对智能电网中分布式能源系统存在的管理困难,电力资源难以调度等问题,提出了一种基于区块链技术的电力网络管理系统。使用以太坊作为开发平台,建立分布式能源的电力交互管理区块链。使用股权证明(PoS)变异算法确立区块链中发用电双方共识机制,指定交易双方中的记账人;通过K-means聚类算法和粒子群优化算法(PSO)来设计分布式电能调度策略,进一步保障电网中能源交易分配的可靠性,最终实现电力运营智能合约下分布式能源的有效管理。实验结果表明:在智能电网中部署电力交互管理区块链,有效解决了分布式能源交易难达成,耗时长的问题,提高了电网中资源管理的合理性。
英文摘要:
      Aiming at the management difficulties existing in smart grids of distributed energy systems and the difficulty of dispatching power resources, a power network management system is proposed based on blockchain technology. The Ethereum is used as a development platform to build a distributed energy power interactive management blockchain. The proof-of-stake (PoS) mutation algorithm is utilized to establish a consensus mechanism for both power generation and consumption parties in the blockchain, and specify the bookkeeper on both sides of the transaction; the K-means clustering algorithm and the particle swarm optimization algorithm (PSO) are utilized to design distributed power scheduling strategies to further ensure the reliability of energy transaction distribution in the power grid, and ultimately realize the effective management of distributed energy under the power operation smart contract. The experimental results show that the deployment of the power interactive management blockchain in the smart grid effectively solves the problem of difficult and time-consuming distributed energy transactions, and improves the rationality of resource management in the power grid.
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