基于大数据的智能电网数据调度与快速分发方法研究

Research on smart grid data scheduling and fast distribution method based on big data

针对云计算集群环境,智能电网的大规模数据处理面临巨大压力,任务调度和大规模数据分发的快速处理是亟待解决的问题。文章基于云计算和大数据处理技术,提出一种用于电力数据处理任务调度和分发的多队列动态优先级调度算法和节点选择算法,可以及时可靠地处理和分发关键数据。通过仿真将该算法与经典算法进行比较,验证算法的准确性和有效性。结果表明,该方法可以有效地分配节点负载,在任务完成时间和完成率上优势明显。该研究为我国电力大数据信息平台的研究提供参考和借鉴。

Aiming at the cloud computing cluster environment,large-scale data processing of smart grids is under great pressure,and the task scheduling and rapid processing of large-scale data distribution are urgent problems to be solved.Based on cloud computing and big data processing technology,this paper proposes the multi-vibration priority algorithm and node selection algorithm for task scheduling and publishing,which can process and distribute important data in a timely and reliable manner.This algorithm is compared with the classical algorithm through simulation to verify the accuracy and effectiveness of the algorithm.The results show that the proposed method can effectively distribute node load and has obvious advantages in task completion rate and completion time.This research provides reference for the research of electric power big data information platform in China.