中国电力2016，Vol.49Issue(7)：82-85,4.DOI:10.11930/j.issn.1004-9649.2016.07.082.04
基于大数据的供热机组调峰能力研究与应用
Research and Application of Regulation Capacity of Heating Units Based on Big Data
孙栓柱 1代家元 1周春蕾 1王林 1张友卫1
作者信息
- 1. 江苏方天电力技术有限公司,江苏南京211102
- 折叠
摘要
Abstract
Aiming at the complex process and the difficulty of data collection in traditional assessment methods for predicting the regulation capacity of heating units and the urgent requirements for the heating unit dispatch,by adopting the cluster analysis algorithm,the large collections of operating data are divided into several clusters.The Gaussian distribution probability density function tool is used to optimize the regulation capacity according to the preset constraints.Compared with the traditional methods,the cluster analysis algorithm is more concise and since the calculation results come from the large collections of historical operating data,the reproducibility and accuracy of the results are more reliable.关键词
热电联产机组/供热机组/调峰能力/大数据/高斯分布Key words
cogeneration power unit/heating units/peak load capacity/big data/Gauss distribution分类
信息技术与安全科学引用本文复制引用
孙栓柱,代家元,周春蕾,王林,张友卫..基于大数据的供热机组调峰能力研究与应用[J].中国电力,2016,49(7):82-85,4.
