电力大数据调度云的优化

Optimization of Dispatching Cloud Based on Power Big Data

由于电力大数据的体量大、类型多、速度快等特点,传统计算难以对其很好地处理。在深入研究云计算技术的基础上,尝试在调度业务中引用云计算。介绍了一种调度云框架,详细说明了调度云基础设施层、平台层、服务层的层次结构,阐明了调度云的五种应用服务,并设计了调度云的拓扑结构和工作流程。通过仿真比较了云计算和传统计算的效率,验证了利用云计算处理电力大数据的可行性。最后,提出了一种在系统内存中对电力大数据进行处理的云计算方法,并通过实验证明云计算方法能够实现调度云的优化。

Due to the characteristics of large size, various types and high speed, etc. , it is is difficult fot tradi- tional computing method to handle with big data of power. This paper introduced cloud computing into dispatching business on the basis of deep research of cloud computing technology, we introduced a framework of dispatching cloud, explained the hierarchy of dispatching cloud infrastructure layer, platform layer, service layer, clarified five application services of dispatching cloud, and designed the dispatching cloud topology structure and workflow process. By comparing the efficiency of cloud computing with traditional computing methods, simulation experiments verified the feasibility of cloud computing method in power big data. Finally, the paper proposed a big data processing method in system memory and it optimized the dispatching cloud proved by simulation experiments.