摘要
在变电站损耗分析中,针对常规分析方法存在频谱泄漏情况,提出基于大数据分析的变电站损耗分析研究。在变电站运行状态监测平台中融入大数据分析技术,分析并处理变电站状态数据,以状态数据作为采样目标,分析变电站中变电设备的发热和散热特性,在遵守能量守恒定律的前提下,计算变电站中主要设备的各项损耗,根据计算结果完成对变电站的整体分析。结果表明:在低负荷条件下,与传统的变电站损耗分析方法相比,提出的基于大数据技术的变电站损耗分析方法数据加载性能更优越,且收敛性满足实际分析需求。
In view of spectrum leakage existing in the conventional analysis of substation loss,a study of substation loss based on big data analysis was proposed in this paper.Big data analysis technology was incorporated into the substation operation status monitoring platform to analyze and process substation status data and analyze heat generation and dissipation characteristics of substation equipment by taking status data as sampling target.Under the premise of observing the law of energy conservation,various losses of main substation equipment were calculated,and based on the calculation results,the overall analysis of the substation was completed.The results showed that under the condition of low load,compared with the traditional substation loss analysis method,the proposed substation loss analysis approach based on big data technology had a better data loading performance and its convergence could meet the needs in actual analysis.
作者
苏锐
褚云凯
苏浩
Su Rui;Chu Yunkai;Su Hao(Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang Liaoning 110000, China)
出处
《电气自动化》
2020年第6期10-12,共3页
Electrical Automation
关键词
大数据技术
变电站
损耗分析
经济运行
频谱泄漏
变电设备
big data technology
substation
loss analysis
economic operation
spectrum leakage
substation equipment
