基于云计算的智能电网负荷预测平台架构研究

提出一种基于云计算的智能电网负荷预测平台架构.深入地阐述了云计算关键技术、负荷预测云架构、云平台负荷预测服务等.采用Hadoop 云计算技术，对负荷预测的资源调度和计算进行虚拟云计算仿真，验证了以电力私有云为基础建立的负荷预测机制更优良.同时在云平台负荷预测服务中引入多维多级协调优化机制，对原始预测结果进行修正与协调优化，显著地提升了基于云计算的智能电网负荷预测水平.由此搭建的平台架构将为智能电网负荷预测提供广阔的思路与有力的技术支持.
Based on cloud computing, a smart grid load forecasting platform architecture was presented, and the key technology of cloud computing, the cloud architecture of load forecasting, load forecasting services of cloud platform, etc were expounded deeply.We used Hadoop cloud computing technology to simulate resource scheduling and the calculation of load forecasting of cloud computing, which verified that load forecasting mechanism on the basis of the electric power private cloud was much more superior.At the same time, we introduced multi-dimensional and multi-level coordination and optimization mechanism in cloud platform load forecasting services to revise, coordinate and optimize the original forecast results, which significantly improved the level of the smart grid load forecasting based on cloud platform.The platform framework has provided wide thinking and powerful technical support for smart grid load forecasting.