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基于区块链的分布式微电网交易与能源调度研究 被引量:11

Energy trading and scheduling on micro-grid based on blockchain technology
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摘要 分布式微电网作为能源互联网中重要的组成部分,可优化分布式可再生能源的利用,通过与分布式数据中心的融合,又可降低数据中心对传统非清洁能源的依赖和碳足迹。但是由于潜在的安全和隐私问题会引起能源市场的不透明性和不确定性,从而导致可再生能源的使用率和交易率低下。引入了一种机遇式的任务调度策略,通过对数据中心计算负载的动态调整,优化可再生能源的利用率,且在此基础上提出了基于区块链的动态智能合约的制定方法,以有效降低用户的经济开销并提高运营商的经济收益。最后,通过实际的光伏发电数据与数据中心的负载数据对上述方法进行评估。仿真试验证明,上述方法对提高分布式可再生能源的利用率及调节买卖双方的经济收支表现出良好的效果。 As an important part of energy internet,micro-grid can facilitate the integration of distributed renewable energy and the fusion of data centers.Furthermore,it can reduce carbon footprint by reduce the traditional energy consumption of data centers.However,the potential security and privacy issues caused by opacity and uncertainty of energy market leads to a lower renewable energy utilization and transaction rates.An opportunistic task scheduling strategy was introduced to improve the utilization of renewable energy by dynamically adjusting the workload of data centers.In addition,a dynamic smart contract formulation based on blockchain technology was proposed,which effectively reduces the expenses of users and boost the interests of the operators.Finally,the strategy was verified upon power generation data from PV cells and workload data from data centers.The simulation test shows that the method above can significantly improve the utilization of renewable energy and optimize the revenue for both users and sellers.
作者 李云波 张子立 张晋宾 罗喜伶 LI Yunbo;ZHANG Zili;ZHANG Jinbin;LUO Xiling(Hangzhou Innovation Research Institute,Beihang University,Hangzhou 310051,China;Department of Electronic and Electrical Engineering,the University of Sheffield,Sheffield S14DE,UK;Electric Power Planning&Engineering Institute,Beijing 100120,China;College of Electronic and Information Engineering,Beihang University,Beijing 100191,China)
出处 《华电技术》 CAS 2020年第8期24-31,共8页 HUADIAN TECHNOLOGY
基金 国家自然科学基金项目(U1733115)。
关键词 微电网 分布式计算 电力交易 可再生能源 能源区块链 数据中心 micro-grid distributed computing energy trading renewable energy energy blockchain data center
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