期刊文献+

山东省气温与最大负荷和用电量的关联性分析 被引量:17

RESEARCH ON CORRELATIVITY AMONG AIR TEMPERATURE, MAXIMUM LOAD AND POWER CONSUMPTION IN SHANDONG POWER GRID
下载PDF
导出
摘要 以山东省近几年的负荷和用电量数据为基础,在利用统计方法和散点图分析了各种气象因素对电力负荷和用电量的影响后,得出了影响较大的因素为气温的结论。据此开发了用于分析气象因素与负荷和用电量的关联性的软件,该软件功能齐全,操作简单。文中得出的气温对负荷和用电量影响的特点及规律可以为供电部门和调度部门的工作人员提供有用的参考信息。 Based on the data of load and power consumption in Shandong power grid, the authors analyzed the influences of various meteorological factors on power load and power consumption by use of statistics method and scatter diagram, and drew the conclusion that the main influencing factor was air temperature. On this basis a kind of software to analyze the correlativity among meteorological factor, load and power consumption was developed. The obtained features and regular patterns on the influences of air temperature on load and power consumption could offer useful reference information for the personnel in power supply and dispatching departments.
出处 《电网技术》 EI CSCD 北大核心 2004年第17期37-40,共4页 Power System Technology
关键词 电力系统 回归分析法 神经网络 关联性分析 用电量 Computer software Electric loads Electric power utilization Engineering research Neural networks Statistical methods Thermal effects
  • 相关文献

参考文献3

  • 1[1]国家电网公司,中国电力企业联合会.中国电力市场分析与研究[M].北京:中国电力出版社,2003.
  • 2[6]Lee K T, Park J H. Short term load forecasting using an arfficial neural network[J]. IEEE Trans on Power Systems , 1992, 7(1): 124-132.
  • 3[8]赵作善.数值分析[M].北京:北京农业工程大学,1992.

同被引文献88

引证文献17

二级引证文献197

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部