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基于云计算的智能电网负荷预测平台架构研究

罗滇生 王新坤

湖南大学学报(自然科学版)2016,Vol.43Issue(2):101-108,8.
湖南大学学报(自然科学版)2016,Vol.43Issue(2):101-108,8.

基于云计算的智能电网负荷预测平台架构研究

Research on the Framework of Smart Grid Load Forecasting Platform Based on Cloud Computing

罗滇生 1王新坤1

作者信息

  • 1. 湖南大学 电气与信息工程学院,湖南 长沙 410082
  • 折叠

摘要

Abstract

Based on cloud computing,a smart grid load forecasting platform architecture was presen-ted,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 plat-form framework has provided wide thinking and powerful technical support for smart grid load forecasting.

关键词

云计算/智能电网/负荷预测/电力云/架构

Key words

cloud computing/smart grid/load forecasting/power cloud/framework

分类

信息技术与安全科学

引用本文复制引用

罗滇生,王新坤..基于云计算的智能电网负荷预测平台架构研究[J].湖南大学学报(自然科学版),2016,43(2):101-108,8.

基金项目

国家自然科学基金资助项目(51277057),National Natural Science Foundation of China ()

湖南大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1674-2974

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